{"id": "4fda312e-70d2-4df7-b1f7-2f06955bf338", "image_1": "Perception/paired/4fda312e-70d2-4df7-b1f7-2f06955bf338_0.png", "image_2": "Perception/paired/4fda312e-70d2-4df7-b1f7-2f06955bf338_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "cb31b593-c65e-4dc8-94be-123cbdea57a2", "image_1": "Perception/paired/cb31b593-c65e-4dc8-94be-123cbdea57a2_0.png", "image_2": "Perception/paired/cb31b593-c65e-4dc8-94be-123cbdea57a2_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "9cf72e51-6c22-4438-9687-77e6737cf354", "image_1": "Perception/paired/9cf72e51-6c22-4438-9687-77e6737cf354_0.png", "image_2": "Perception/paired/9cf72e51-6c22-4438-9687-77e6737cf354_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "610137df-58e0-4858-a993-63a37577a6cb", "image_1": "Perception/paired/610137df-58e0-4858-a993-63a37577a6cb_0.png", "image_2": "Perception/paired/610137df-58e0-4858-a993-63a37577a6cb_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "91a339a4-99ad-4c79-aa37-bb65ce69ee01", "image_1": "Perception/paired/91a339a4-99ad-4c79-aa37-bb65ce69ee01_0.png", "image_2": "Perception/paired/91a339a4-99ad-4c79-aa37-bb65ce69ee01_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "28df0481-e2b1-4c4b-bc62-cbf42c5005c6", "image_1": "Perception/paired/28df0481-e2b1-4c4b-bc62-cbf42c5005c6_0.png", "image_2": "Perception/paired/28df0481-e2b1-4c4b-bc62-cbf42c5005c6_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "f0fd77df-6983-4844-8b88-92b3c89cc4e4", "image_1": "Perception/paired/f0fd77df-6983-4844-8b88-92b3c89cc4e4_0.png", "image_2": "Perception/paired/f0fd77df-6983-4844-8b88-92b3c89cc4e4_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "2527849f-c7e7-49c7-b15d-c7e6b76b773e", "image_1": "Perception/paired/2527849f-c7e7-49c7-b15d-c7e6b76b773e_0.png", "image_2": "Perception/paired/2527849f-c7e7-49c7-b15d-c7e6b76b773e_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "c8f31b69-61d8-4a44-8381-af70d633ce1e", "image_1": "Perception/paired/c8f31b69-61d8-4a44-8381-af70d633ce1e_0.png", "image_2": "Perception/paired/c8f31b69-61d8-4a44-8381-af70d633ce1e_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a0800665-37a0-43c1-a25d-fb4d3fedd89d", "image_1": "Perception/paired/a0800665-37a0-43c1-a25d-fb4d3fedd89d_0.png", "image_2": "Perception/paired/a0800665-37a0-43c1-a25d-fb4d3fedd89d_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "4dc4e2a7-1460-42ce-bb50-7cff19da7155", "image_1": "Perception/paired/4dc4e2a7-1460-42ce-bb50-7cff19da7155_0.png", "image_2": "Perception/paired/4dc4e2a7-1460-42ce-bb50-7cff19da7155_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "29ed6a90-d776-4822-b1d5-87b87c297288", "image_1": "Perception/paired/29ed6a90-d776-4822-b1d5-87b87c297288_0.png", "image_2": "Perception/paired/29ed6a90-d776-4822-b1d5-87b87c297288_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "2b981caf-9a31-4ba6-a24a-d5a5300b66d1", "image_1": "Perception/paired/2b981caf-9a31-4ba6-a24a-d5a5300b66d1_0.png", "image_2": "Perception/paired/2b981caf-9a31-4ba6-a24a-d5a5300b66d1_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "fdd537db-cb97-44f7-9b1b-f9fd332011c4", "image_1": "Perception/paired/fdd537db-cb97-44f7-9b1b-f9fd332011c4_0.png", "image_2": "Perception/paired/fdd537db-cb97-44f7-9b1b-f9fd332011c4_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "505e7c6b-07e4-4add-acc7-299e340c24c8", "image_1": "Perception/paired/505e7c6b-07e4-4add-acc7-299e340c24c8_0.png", "image_2": "Perception/paired/505e7c6b-07e4-4add-acc7-299e340c24c8_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "6fa62415-c8e6-4a1c-aeb3-b36d5f34e985", "image_1": "Perception/paired/6fa62415-c8e6-4a1c-aeb3-b36d5f34e985_0.png", "image_2": "Perception/paired/6fa62415-c8e6-4a1c-aeb3-b36d5f34e985_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "4413595f-2349-4c9b-a740-addd66daba30", "image_1": "Perception/paired/4413595f-2349-4c9b-a740-addd66daba30_0.png", "image_2": "Perception/paired/4413595f-2349-4c9b-a740-addd66daba30_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "77ab1178-cc19-405c-a918-327798f20e21", "image_1": "Perception/paired/77ab1178-cc19-405c-a918-327798f20e21_0.png", "image_2": "Perception/paired/77ab1178-cc19-405c-a918-327798f20e21_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "59838a5c-0f02-4e2d-a1d5-4617df8218a2", "image_1": "Perception/paired/59838a5c-0f02-4e2d-a1d5-4617df8218a2_0.png", "image_2": "Perception/paired/59838a5c-0f02-4e2d-a1d5-4617df8218a2_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "d6c85b12-9221-4d6c-bcbf-9bfc1a11afb8", "image_1": "Perception/paired/d6c85b12-9221-4d6c-bcbf-9bfc1a11afb8_0.png", "image_2": "Perception/paired/d6c85b12-9221-4d6c-bcbf-9bfc1a11afb8_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "05989668-3342-40ae-9e22-641f0cd24978", "image_1": "Perception/paired/05989668-3342-40ae-9e22-641f0cd24978_0.png", "image_2": "Perception/paired/05989668-3342-40ae-9e22-641f0cd24978_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "fab7b394-43f6-472d-8654-7978d060a2d4", "image_1": "Perception/paired/fab7b394-43f6-472d-8654-7978d060a2d4_0.png", "image_2": "Perception/paired/fab7b394-43f6-472d-8654-7978d060a2d4_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "c58703fc-b15e-46d5-bf70-83baf0902750", "image_1": "Perception/paired/c58703fc-b15e-46d5-bf70-83baf0902750_0.png", "image_2": "Perception/paired/c58703fc-b15e-46d5-bf70-83baf0902750_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "71cb673a-edf5-4b8c-b9ff-3ec3558d2a3d", "image_1": "Perception/paired/71cb673a-edf5-4b8c-b9ff-3ec3558d2a3d_0.png", "image_2": "Perception/paired/71cb673a-edf5-4b8c-b9ff-3ec3558d2a3d_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "c37dcbbe-478a-4daf-8d5b-8012b8c2314f", "image_1": "Perception/paired/c37dcbbe-478a-4daf-8d5b-8012b8c2314f_0.png", "image_2": "Perception/paired/c37dcbbe-478a-4daf-8d5b-8012b8c2314f_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "fb8ae9a9-88e0-4a58-a60e-3a59af9e8016", "image_1": "Perception/paired/fb8ae9a9-88e0-4a58-a60e-3a59af9e8016_0.png", "image_2": "Perception/paired/fb8ae9a9-88e0-4a58-a60e-3a59af9e8016_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "ba692599-99ff-44a3-ac79-969e145c2e35", "image_1": "Perception/paired/ba692599-99ff-44a3-ac79-969e145c2e35_0.png", "image_2": "Perception/paired/ba692599-99ff-44a3-ac79-969e145c2e35_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "147da8b8-4f6e-4ce3-94ef-d8a876daa530", "image_1": "Perception/paired/147da8b8-4f6e-4ce3-94ef-d8a876daa530_0.png", "image_2": "Perception/paired/147da8b8-4f6e-4ce3-94ef-d8a876daa530_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "e6218500-972a-4947-b142-19cde05799b9", "image_1": "Perception/paired/e6218500-972a-4947-b142-19cde05799b9_0.png", "image_2": "Perception/paired/e6218500-972a-4947-b142-19cde05799b9_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "2649ad8a-b3d6-4c11-98a8-c0ec4b2a8c5d", "image_1": "Perception/paired/2649ad8a-b3d6-4c11-98a8-c0ec4b2a8c5d_0.png", "image_2": "Perception/paired/2649ad8a-b3d6-4c11-98a8-c0ec4b2a8c5d_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "64485a2a-c30c-4ef2-a6f3-5108a5739fcc", "image_1": "Perception/paired/64485a2a-c30c-4ef2-a6f3-5108a5739fcc_0.png", "image_2": "Perception/paired/64485a2a-c30c-4ef2-a6f3-5108a5739fcc_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "3906adbb-58bc-499c-8416-d6704543f3e3", "image_1": "Perception/paired/3906adbb-58bc-499c-8416-d6704543f3e3_0.png", "image_2": "Perception/paired/3906adbb-58bc-499c-8416-d6704543f3e3_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "b700a544-3f0c-446d-823d-e08f7655dcb1", "image_1": "Perception/paired/b700a544-3f0c-446d-823d-e08f7655dcb1_0.png", "image_2": "Perception/paired/b700a544-3f0c-446d-823d-e08f7655dcb1_1.png", "question": "Considering Image 1 as ground truth, what is the distortion severity rating for Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "fa193661-d9d9-44b3-8ba0-cc2e44f8bf5e", "image_1": "Perception/paired/fa193661-d9d9-44b3-8ba0-cc2e44f8bf5e_0.png", "image_2": "Perception/paired/fa193661-d9d9-44b3-8ba0-cc2e44f8bf5e_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "62a77955-87f6-46e0-80dd-2692ed78f7b0", "image_1": "Perception/paired/62a77955-87f6-46e0-80dd-2692ed78f7b0_0.png", "image_2": "Perception/paired/62a77955-87f6-46e0-80dd-2692ed78f7b0_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "0dfe26b3-3483-4e85-a77e-278deec48502", "image_1": "Perception/paired/0dfe26b3-3483-4e85-a77e-278deec48502_0.png", "image_2": "Perception/paired/0dfe26b3-3483-4e85-a77e-278deec48502_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "f4a6b7ac-0479-4411-9369-22043a48c54a", "image_1": "Perception/paired/f4a6b7ac-0479-4411-9369-22043a48c54a_0.png", "image_2": "Perception/paired/f4a6b7ac-0479-4411-9369-22043a48c54a_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "621db8b1-37f3-4b11-a2b4-0aace1c2ffa4", "image_1": "Perception/paired/621db8b1-37f3-4b11-a2b4-0aace1c2ffa4_0.png", "image_2": "Perception/paired/621db8b1-37f3-4b11-a2b4-0aace1c2ffa4_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a6f031dd-d6ba-4b2f-8e95-9f6987af767f", "image_1": "Perception/paired/a6f031dd-d6ba-4b2f-8e95-9f6987af767f_0.png", "image_2": "Perception/paired/a6f031dd-d6ba-4b2f-8e95-9f6987af767f_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "618b8f22-c6d4-4f7e-8984-adb7eebc7946", "image_1": "Perception/paired/618b8f22-c6d4-4f7e-8984-adb7eebc7946_0.png", "image_2": "Perception/paired/618b8f22-c6d4-4f7e-8984-adb7eebc7946_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "294746fd-e112-417e-b42f-f95fbcb757ba", "image_1": "Perception/paired/294746fd-e112-417e-b42f-f95fbcb757ba_0.png", "image_2": "Perception/paired/294746fd-e112-417e-b42f-f95fbcb757ba_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "9fc466c6-1253-411c-b18b-977ce05b5ca7", "image_1": "Perception/paired/9fc466c6-1253-411c-b18b-977ce05b5ca7_0.png", "image_2": "Perception/paired/9fc466c6-1253-411c-b18b-977ce05b5ca7_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "f0bba2e0-378e-4cbc-a38b-1915d131ea96", "image_1": "Perception/paired/f0bba2e0-378e-4cbc-a38b-1915d131ea96_0.png", "image_2": "Perception/paired/f0bba2e0-378e-4cbc-a38b-1915d131ea96_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "988fe81a-47f7-41b6-aec0-b3c96bad260f", "image_1": "Perception/paired/988fe81a-47f7-41b6-aec0-b3c96bad260f_0.png", "image_2": "Perception/paired/988fe81a-47f7-41b6-aec0-b3c96bad260f_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "75889cf9-adeb-4d74-b3bb-8854b20285d8", "image_1": "Perception/paired/75889cf9-adeb-4d74-b3bb-8854b20285d8_0.png", "image_2": "Perception/paired/75889cf9-adeb-4d74-b3bb-8854b20285d8_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "80c18306-b17b-41a7-8614-e38827ac8f71", "image_1": "Perception/paired/80c18306-b17b-41a7-8614-e38827ac8f71_0.png", "image_2": "Perception/paired/80c18306-b17b-41a7-8614-e38827ac8f71_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "bb888230-241f-42a2-bcc1-457f00e6d1ad", "image_1": "Perception/paired/bb888230-241f-42a2-bcc1-457f00e6d1ad_0.png", "image_2": "Perception/paired/bb888230-241f-42a2-bcc1-457f00e6d1ad_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "e5327fd2-5131-4031-9b17-e5501d01b904", "image_1": "Perception/paired/e5327fd2-5131-4031-9b17-e5501d01b904_0.png", "image_2": "Perception/paired/e5327fd2-5131-4031-9b17-e5501d01b904_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "8c0d7803-08c0-430d-85a7-148cdde793b6", "image_1": "Perception/paired/8c0d7803-08c0-430d-85a7-148cdde793b6_0.png", "image_2": "Perception/paired/8c0d7803-08c0-430d-85a7-148cdde793b6_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "530af7a2-09d0-4614-a1c5-8973c6a64125", "image_1": "Perception/paired/530af7a2-09d0-4614-a1c5-8973c6a64125_0.png", "image_2": "Perception/paired/530af7a2-09d0-4614-a1c5-8973c6a64125_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "632661bb-996c-4eed-8c43-ef58a9ddb6bb", "image_1": "Perception/paired/632661bb-996c-4eed-8c43-ef58a9ddb6bb_0.png", "image_2": "Perception/paired/632661bb-996c-4eed-8c43-ef58a9ddb6bb_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "81206600-025b-42bf-8c29-9ef2e6a54db1", "image_1": "Perception/paired/81206600-025b-42bf-8c29-9ef2e6a54db1_0.png", "image_2": "Perception/paired/81206600-025b-42bf-8c29-9ef2e6a54db1_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "f11d82d1-3d18-4274-8e2e-0bad74898b4e", "image_1": "Perception/paired/f11d82d1-3d18-4274-8e2e-0bad74898b4e_0.png", "image_2": "Perception/paired/f11d82d1-3d18-4274-8e2e-0bad74898b4e_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "3ef2cf0c-b88d-462a-8831-e39ffd80fc81", "image_1": "Perception/paired/3ef2cf0c-b88d-462a-8831-e39ffd80fc81_0.png", "image_2": "Perception/paired/3ef2cf0c-b88d-462a-8831-e39ffd80fc81_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "64692f74-d957-40cc-b618-2ec0c8b6b1c5", "image_1": "Perception/paired/64692f74-d957-40cc-b618-2ec0c8b6b1c5_0.png", "image_2": "Perception/paired/64692f74-d957-40cc-b618-2ec0c8b6b1c5_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "1abd0d4e-c8f8-4da6-a059-8932fcc005d2", "image_1": "Perception/paired/1abd0d4e-c8f8-4da6-a059-8932fcc005d2_0.png", "image_2": "Perception/paired/1abd0d4e-c8f8-4da6-a059-8932fcc005d2_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "d3650d26-de06-43b2-b602-8e2ee1b5bb6e", "image_1": "Perception/paired/d3650d26-de06-43b2-b602-8e2ee1b5bb6e_0.png", "image_2": "Perception/paired/d3650d26-de06-43b2-b602-8e2ee1b5bb6e_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "c73da575-820d-41d9-8933-efb89215bb7b", "image_1": "Perception/paired/c73da575-820d-41d9-8933-efb89215bb7b_0.png", "image_2": "Perception/paired/c73da575-820d-41d9-8933-efb89215bb7b_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "efabcc3f-9473-4c30-aadc-4e00d53430f8", "image_1": "Perception/paired/efabcc3f-9473-4c30-aadc-4e00d53430f8_0.png", "image_2": "Perception/paired/efabcc3f-9473-4c30-aadc-4e00d53430f8_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "c749148f-3568-4ed7-a057-62805660ed90", "image_1": "Perception/paired/c749148f-3568-4ed7-a057-62805660ed90_0.png", "image_2": "Perception/paired/c749148f-3568-4ed7-a057-62805660ed90_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "72ee82b2-4de5-440a-a1c2-9887d7ce70ea", "image_1": "Perception/paired/72ee82b2-4de5-440a-a1c2-9887d7ce70ea_0.png", "image_2": "Perception/paired/72ee82b2-4de5-440a-a1c2-9887d7ce70ea_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "bf505bc2-2645-47c1-9e8c-58100cdd2787", "image_1": "Perception/paired/bf505bc2-2645-47c1-9e8c-58100cdd2787_0.png", "image_2": "Perception/paired/bf505bc2-2645-47c1-9e8c-58100cdd2787_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "f28f3cb3-9243-428b-a021-a240c63730de", "image_1": "Perception/paired/f28f3cb3-9243-428b-a021-a240c63730de_0.png", "image_2": "Perception/paired/f28f3cb3-9243-428b-a021-a240c63730de_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "c60f1cd4-d224-46d1-85e7-5ab05574d14a", "image_1": "Perception/paired/c60f1cd4-d224-46d1-85e7-5ab05574d14a_0.png", "image_2": "Perception/paired/c60f1cd4-d224-46d1-85e7-5ab05574d14a_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "7e8a9352-b446-45a9-ad23-cd6315b12b9b", "image_1": "Perception/paired/7e8a9352-b446-45a9-ad23-cd6315b12b9b_0.png", "image_2": "Perception/paired/7e8a9352-b446-45a9-ad23-cd6315b12b9b_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "8ca8564f-38b3-4b44-bd55-15e504dda1e0", "image_1": "Perception/paired/8ca8564f-38b3-4b44-bd55-15e504dda1e0_0.png", "image_2": "Perception/paired/8ca8564f-38b3-4b44-bd55-15e504dda1e0_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "86639608-cbcf-4576-970b-169185114501", "image_1": "Perception/paired/86639608-cbcf-4576-970b-169185114501_0.png", "image_2": "Perception/paired/86639608-cbcf-4576-970b-169185114501_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "3fd39a8b-225b-4033-8d49-f10a5b5de30f", "image_1": "Perception/paired/3fd39a8b-225b-4033-8d49-f10a5b5de30f_0.png", "image_2": "Perception/paired/3fd39a8b-225b-4033-8d49-f10a5b5de30f_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "ed707808-ba7b-4847-bf7b-630bad7cb787", "image_1": "Perception/paired/ed707808-ba7b-4847-bf7b-630bad7cb787_0.png", "image_2": "Perception/paired/ed707808-ba7b-4847-bf7b-630bad7cb787_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "5c4ac4c4-79b9-4253-a5bc-4494d780b9f4", "image_1": "Perception/paired/5c4ac4c4-79b9-4253-a5bc-4494d780b9f4_0.png", "image_2": "Perception/paired/5c4ac4c4-79b9-4253-a5bc-4494d780b9f4_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "b3d0d84a-0502-4952-8da8-2cdc90f66f4a", "image_1": "Perception/paired/b3d0d84a-0502-4952-8da8-2cdc90f66f4a_0.png", "image_2": "Perception/paired/b3d0d84a-0502-4952-8da8-2cdc90f66f4a_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a6311bc3-102c-43a8-aee5-780c3bc8c45e", "image_1": "Perception/paired/a6311bc3-102c-43a8-aee5-780c3bc8c45e_0.png", "image_2": "Perception/paired/a6311bc3-102c-43a8-aee5-780c3bc8c45e_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "6e1efc8f-5d2b-485e-bb4d-eabf6162b9a7", "image_1": "Perception/paired/6e1efc8f-5d2b-485e-bb4d-eabf6162b9a7_0.png", "image_2": "Perception/paired/6e1efc8f-5d2b-485e-bb4d-eabf6162b9a7_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "97bb828d-1bc2-4246-a120-182ffa907823", "image_1": "Perception/paired/97bb828d-1bc2-4246-a120-182ffa907823_0.png", "image_2": "Perception/paired/97bb828d-1bc2-4246-a120-182ffa907823_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "1ab1a59a-fd83-459f-8e21-11e9b0fce292", "image_1": "Perception/paired/1ab1a59a-fd83-459f-8e21-11e9b0fce292_0.png", "image_2": "Perception/paired/1ab1a59a-fd83-459f-8e21-11e9b0fce292_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a74cd5a0-b104-4da5-ad33-fe7bf84a9c58", "image_1": "Perception/paired/a74cd5a0-b104-4da5-ad33-fe7bf84a9c58_0.png", "image_2": "Perception/paired/a74cd5a0-b104-4da5-ad33-fe7bf84a9c58_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "3e7228c3-7e9d-4eee-b884-fc89a3b3628d", "image_1": "Perception/paired/3e7228c3-7e9d-4eee-b884-fc89a3b3628d_0.png", "image_2": "Perception/paired/3e7228c3-7e9d-4eee-b884-fc89a3b3628d_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "0737824b-e5d3-4ca9-b9a2-b9d768886a41", "image_1": "Perception/paired/0737824b-e5d3-4ca9-b9a2-b9d768886a41_0.png", "image_2": "Perception/paired/0737824b-e5d3-4ca9-b9a2-b9d768886a41_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "ad499456-0f47-41e4-ae53-b7a547e8a211", "image_1": "Perception/paired/ad499456-0f47-41e4-ae53-b7a547e8a211_0.png", "image_2": "Perception/paired/ad499456-0f47-41e4-ae53-b7a547e8a211_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "b6c6f248-8ac5-488d-a0bb-a5dd4305042d", "image_1": "Perception/paired/b6c6f248-8ac5-488d-a0bb-a5dd4305042d_0.png", "image_2": "Perception/paired/b6c6f248-8ac5-488d-a0bb-a5dd4305042d_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "91cf3139-04d7-437c-8edb-1e8ecd3a1fe3", "image_1": "Perception/paired/91cf3139-04d7-437c-8edb-1e8ecd3a1fe3_0.png", "image_2": "Perception/paired/91cf3139-04d7-437c-8edb-1e8ecd3a1fe3_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "98848bf0-8495-4593-b98a-175e9ab13059", "image_1": "Perception/paired/98848bf0-8495-4593-b98a-175e9ab13059_0.png", "image_2": "Perception/paired/98848bf0-8495-4593-b98a-175e9ab13059_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "990e2e43-5ae4-4f0d-9531-bfcc89e3dd56", "image_1": "Perception/paired/990e2e43-5ae4-4f0d-9531-bfcc89e3dd56_0.png", "image_2": "Perception/paired/990e2e43-5ae4-4f0d-9531-bfcc89e3dd56_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "2ef71028-c693-4ddd-b2a0-9c224bd5c380", "image_1": "Perception/paired/2ef71028-c693-4ddd-b2a0-9c224bd5c380_0.png", "image_2": "Perception/paired/2ef71028-c693-4ddd-b2a0-9c224bd5c380_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "4d346898-d33c-4028-9dc8-efade7293b49", "image_1": "Perception/paired/4d346898-d33c-4028-9dc8-efade7293b49_0.png", "image_2": "Perception/paired/4d346898-d33c-4028-9dc8-efade7293b49_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "4883945b-2e28-417a-ad86-f7b5f6cf6aa6", "image_1": "Perception/paired/4883945b-2e28-417a-ad86-f7b5f6cf6aa6_0.png", "image_2": "Perception/paired/4883945b-2e28-417a-ad86-f7b5f6cf6aa6_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "7ba991c5-6939-4e1b-af1d-f5f2ece3f4bc", "image_1": "Perception/paired/7ba991c5-6939-4e1b-af1d-f5f2ece3f4bc_0.png", "image_2": "Perception/paired/7ba991c5-6939-4e1b-af1d-f5f2ece3f4bc_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "15b01242-58cb-43f0-af8b-b73db5b6dd83", "image_1": "Perception/paired/15b01242-58cb-43f0-af8b-b73db5b6dd83_0.png", "image_2": "Perception/paired/15b01242-58cb-43f0-af8b-b73db5b6dd83_1.png", "question": "Considering Image 1 as ground truth, what is the distortion severity rating for Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "ab712190-78b9-4fdc-b75a-9d74fdfb3870", "image_1": "Perception/paired/ab712190-78b9-4fdc-b75a-9d74fdfb3870_0.png", "image_2": "Perception/paired/ab712190-78b9-4fdc-b75a-9d74fdfb3870_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "6f0d7609-fd02-450e-945e-0da2ed28cef2", "image_1": "Perception/paired/6f0d7609-fd02-450e-945e-0da2ed28cef2_0.png", "image_2": "Perception/paired/6f0d7609-fd02-450e-945e-0da2ed28cef2_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "ff43f428-a3a2-4aa3-aea8-c5a26544d677", "image_1": "Perception/paired/ff43f428-a3a2-4aa3-aea8-c5a26544d677_0.png", "image_2": "Perception/paired/ff43f428-a3a2-4aa3-aea8-c5a26544d677_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "659c5b46-59ab-4d5c-b1ea-0a3d65d64e15", "image_1": "Perception/paired/659c5b46-59ab-4d5c-b1ea-0a3d65d64e15_0.png", "image_2": "Perception/paired/659c5b46-59ab-4d5c-b1ea-0a3d65d64e15_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "dec64483-ceaf-4614-a491-57ba6d54c8c2", "image_1": "Perception/paired/dec64483-ceaf-4614-a491-57ba6d54c8c2_0.png", "image_2": "Perception/paired/dec64483-ceaf-4614-a491-57ba6d54c8c2_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "a401dc32-c155-4851-a818-f05dce435ae2", "image_1": "Perception/paired/a401dc32-c155-4851-a818-f05dce435ae2_0.png", "image_2": "Perception/paired/a401dc32-c155-4851-a818-f05dce435ae2_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "4eefecc7-761c-4974-b64d-e4cb4107b3cd", "image_1": "Perception/paired/4eefecc7-761c-4974-b64d-e4cb4107b3cd_0.png", "image_2": "Perception/paired/4eefecc7-761c-4974-b64d-e4cb4107b3cd_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "71156501-9da2-4cb8-b947-4b6ccb5ac701", "image_1": "Perception/paired/71156501-9da2-4cb8-b947-4b6ccb5ac701_0.png", "image_2": "Perception/paired/71156501-9da2-4cb8-b947-4b6ccb5ac701_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "9f9ef584-b7be-4fa5-a008-4c58e3a858b9", "image_1": "Perception/paired/9f9ef584-b7be-4fa5-a008-4c58e3a858b9_0.png", "image_2": "Perception/paired/9f9ef584-b7be-4fa5-a008-4c58e3a858b9_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "4ce9493a-9083-464a-9cc3-8da211a03395", "image_1": "Perception/paired/4ce9493a-9083-464a-9cc3-8da211a03395_0.png", "image_2": "Perception/paired/4ce9493a-9083-464a-9cc3-8da211a03395_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "b7622abe-8351-4110-814e-d6b8b92bf538", "image_1": "Perception/paired/b7622abe-8351-4110-814e-d6b8b92bf538_0.png", "image_2": "Perception/paired/b7622abe-8351-4110-814e-d6b8b92bf538_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "dcc59cf1-cf73-4b3b-ad7c-68c57cc2a311", "image_1": "Perception/paired/dcc59cf1-cf73-4b3b-ad7c-68c57cc2a311_0.png", "image_2": "Perception/paired/dcc59cf1-cf73-4b3b-ad7c-68c57cc2a311_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "5da5ec5a-1dca-4af9-ab37-82c376d9227c", "image_1": "Perception/paired/5da5ec5a-1dca-4af9-ab37-82c376d9227c_0.png", "image_2": "Perception/paired/5da5ec5a-1dca-4af9-ab37-82c376d9227c_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "9288ab2f-3151-4735-b031-d0dd48d2c4e1", "image_1": "Perception/paired/9288ab2f-3151-4735-b031-d0dd48d2c4e1_0.png", "image_2": "Perception/paired/9288ab2f-3151-4735-b031-d0dd48d2c4e1_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "29e4dd42-1fe2-4394-8a46-df5e66978d2a", "image_1": "Perception/paired/29e4dd42-1fe2-4394-8a46-df5e66978d2a_0.png", "image_2": "Perception/paired/29e4dd42-1fe2-4394-8a46-df5e66978d2a_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "47ca82ee-e1b6-43ea-844d-aa97384da793", "image_1": "Perception/paired/47ca82ee-e1b6-43ea-844d-aa97384da793_0.png", "image_2": "Perception/paired/47ca82ee-e1b6-43ea-844d-aa97384da793_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "da055a3b-7063-4ef6-8912-073570375289", "image_1": "Perception/paired/da055a3b-7063-4ef6-8912-073570375289_0.png", "image_2": "Perception/paired/da055a3b-7063-4ef6-8912-073570375289_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "3dc7a97f-8348-42dd-854d-3e87b19ea1c4", "image_1": "Perception/paired/3dc7a97f-8348-42dd-854d-3e87b19ea1c4_0.png", "image_2": "Perception/paired/3dc7a97f-8348-42dd-854d-3e87b19ea1c4_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "53790ae6-9e94-4c9f-95f8-3c242db8826a", "image_1": "Perception/paired/53790ae6-9e94-4c9f-95f8-3c242db8826a_0.png", "image_2": "Perception/paired/53790ae6-9e94-4c9f-95f8-3c242db8826a_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "d9f5b8d6-718e-4009-9986-17d1bda36ec8", "image_1": "Perception/paired/d9f5b8d6-718e-4009-9986-17d1bda36ec8_0.png", "image_2": "Perception/paired/d9f5b8d6-718e-4009-9986-17d1bda36ec8_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "5e2d35d0-e68e-425c-b644-bb0a8ea9329e", "image_1": "Perception/paired/5e2d35d0-e68e-425c-b644-bb0a8ea9329e_0.png", "image_2": "Perception/paired/5e2d35d0-e68e-425c-b644-bb0a8ea9329e_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "7601cfac-8bf4-4a55-888d-22761d82ad5d", "image_1": "Perception/paired/7601cfac-8bf4-4a55-888d-22761d82ad5d_0.png", "image_2": "Perception/paired/7601cfac-8bf4-4a55-888d-22761d82ad5d_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "9ef6a902-00e7-4640-bde5-b2d0bab6bd2d", "image_1": "Perception/paired/9ef6a902-00e7-4640-bde5-b2d0bab6bd2d_0.png", "image_2": "Perception/paired/9ef6a902-00e7-4640-bde5-b2d0bab6bd2d_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "f303d5e2-2b9e-4334-a5f9-13ef24b0a3af", "image_1": "Perception/paired/f303d5e2-2b9e-4334-a5f9-13ef24b0a3af_0.png", "image_2": "Perception/paired/f303d5e2-2b9e-4334-a5f9-13ef24b0a3af_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "027e5666-d716-4819-92b4-91904c00eca8", "image_1": "Perception/paired/027e5666-d716-4819-92b4-91904c00eca8_0.png", "image_2": "Perception/paired/027e5666-d716-4819-92b4-91904c00eca8_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "112f8b9f-d2cd-47b4-b92a-424ea22acca3", "image_1": "Perception/paired/112f8b9f-d2cd-47b4-b92a-424ea22acca3_0.png", "image_2": "Perception/paired/112f8b9f-d2cd-47b4-b92a-424ea22acca3_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "58ab576b-710b-430c-90e7-6da6f0b40a49", "image_1": "Perception/paired/58ab576b-710b-430c-90e7-6da6f0b40a49_0.png", "image_2": "Perception/paired/58ab576b-710b-430c-90e7-6da6f0b40a49_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e6ac27f8-cf4b-47be-b935-197c12f262f2", "image_1": "Perception/paired/e6ac27f8-cf4b-47be-b935-197c12f262f2_0.png", "image_2": "Perception/paired/e6ac27f8-cf4b-47be-b935-197c12f262f2_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "3a774137-f10e-433f-a178-cbbce8f83c59", "image_1": "Perception/paired/3a774137-f10e-433f-a178-cbbce8f83c59_0.png", "image_2": "Perception/paired/3a774137-f10e-433f-a178-cbbce8f83c59_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "5f5e431e-b719-4cec-ac74-817804f68c1f", "image_1": "Perception/paired/5f5e431e-b719-4cec-ac74-817804f68c1f_0.png", "image_2": "Perception/paired/5f5e431e-b719-4cec-ac74-817804f68c1f_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "26b95098-756f-484d-85f0-03e04c3b3061", "image_1": "Perception/paired/26b95098-756f-484d-85f0-03e04c3b3061_0.png", "image_2": "Perception/paired/26b95098-756f-484d-85f0-03e04c3b3061_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "a47796bf-2ad9-4998-8cda-e54042bf838a", "image_1": "Perception/paired/a47796bf-2ad9-4998-8cda-e54042bf838a_0.png", "image_2": "Perception/paired/a47796bf-2ad9-4998-8cda-e54042bf838a_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "6d0907ac-821a-48f5-88ea-f4a4ff444d68", "image_1": "Perception/paired/6d0907ac-821a-48f5-88ea-f4a4ff444d68_0.png", "image_2": "Perception/paired/6d0907ac-821a-48f5-88ea-f4a4ff444d68_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "3be9765c-a6d0-4d40-81ea-40d2b1fbdb1e", "image_1": "Perception/paired/3be9765c-a6d0-4d40-81ea-40d2b1fbdb1e_0.png", "image_2": "Perception/paired/3be9765c-a6d0-4d40-81ea-40d2b1fbdb1e_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "7c1d4f9f-c5ef-435b-9599-dbff7601cd2f", "image_1": "Perception/paired/7c1d4f9f-c5ef-435b-9599-dbff7601cd2f_0.png", "image_2": "Perception/paired/7c1d4f9f-c5ef-435b-9599-dbff7601cd2f_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "ee4ef525-7e87-4be6-8c2e-64f6363b0390", "image_1": "Perception/paired/ee4ef525-7e87-4be6-8c2e-64f6363b0390_0.png", "image_2": "Perception/paired/ee4ef525-7e87-4be6-8c2e-64f6363b0390_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "326ea0a7-3c49-4dbb-a627-42f9647473f6", "image_1": "Perception/paired/326ea0a7-3c49-4dbb-a627-42f9647473f6_0.png", "image_2": "Perception/paired/326ea0a7-3c49-4dbb-a627-42f9647473f6_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "d7076395-ca20-483d-8119-f7dca1d5fa20", "image_1": "Perception/paired/d7076395-ca20-483d-8119-f7dca1d5fa20_0.png", "image_2": "Perception/paired/d7076395-ca20-483d-8119-f7dca1d5fa20_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "163a0fe9-4f17-43d1-87dc-3e2b2113fe73", "image_1": "Perception/paired/163a0fe9-4f17-43d1-87dc-3e2b2113fe73_0.png", "image_2": "Perception/paired/163a0fe9-4f17-43d1-87dc-3e2b2113fe73_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "5dbe85bd-68b5-4c03-a293-dc23e11c69bf", "image_1": "Perception/paired/5dbe85bd-68b5-4c03-a293-dc23e11c69bf_0.png", "image_2": "Perception/paired/5dbe85bd-68b5-4c03-a293-dc23e11c69bf_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "4074567a-d375-4bbb-b638-22f54a1b45cd", "image_1": "Perception/paired/4074567a-d375-4bbb-b638-22f54a1b45cd_0.png", "image_2": "Perception/paired/4074567a-d375-4bbb-b638-22f54a1b45cd_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "7af866aa-8a63-49cf-bb26-1416d015b42d", "image_1": "Perception/paired/7af866aa-8a63-49cf-bb26-1416d015b42d_0.png", "image_2": "Perception/paired/7af866aa-8a63-49cf-bb26-1416d015b42d_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e9c582d7-ffe9-412f-819e-db63726a9fe0", "image_1": "Perception/paired/e9c582d7-ffe9-412f-819e-db63726a9fe0_0.png", "image_2": "Perception/paired/e9c582d7-ffe9-412f-819e-db63726a9fe0_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "05572a84-a163-448f-ae43-a39c38eb338b", "image_1": "Perception/paired/05572a84-a163-448f-ae43-a39c38eb338b_0.png", "image_2": "Perception/paired/05572a84-a163-448f-ae43-a39c38eb338b_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "5bbb87e5-d030-4420-9318-c42c3c313e68", "image_1": "Perception/paired/5bbb87e5-d030-4420-9318-c42c3c313e68_0.png", "image_2": "Perception/paired/5bbb87e5-d030-4420-9318-c42c3c313e68_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "e6c05162-95fd-4784-984c-b1f8233303a6", "image_1": "Perception/paired/e6c05162-95fd-4784-984c-b1f8233303a6_0.png", "image_2": "Perception/paired/e6c05162-95fd-4784-984c-b1f8233303a6_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "f022db35-09b7-459f-ba98-ac6d939c06f5", "image_1": "Perception/paired/f022db35-09b7-459f-ba98-ac6d939c06f5_0.png", "image_2": "Perception/paired/f022db35-09b7-459f-ba98-ac6d939c06f5_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "9a3173c7-7b4d-405d-806f-1e1e10d59411", "image_1": "Perception/paired/9a3173c7-7b4d-405d-806f-1e1e10d59411_0.png", "image_2": "Perception/paired/9a3173c7-7b4d-405d-806f-1e1e10d59411_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "357462a0-44e0-4d60-951f-e80b51cdceb4", "image_1": "Perception/paired/357462a0-44e0-4d60-951f-e80b51cdceb4_0.png", "image_2": "Perception/paired/357462a0-44e0-4d60-951f-e80b51cdceb4_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e026b3cd-8fba-48ec-ae7e-b75d0ea327be", "image_1": "Perception/paired/e026b3cd-8fba-48ec-ae7e-b75d0ea327be_0.png", "image_2": "Perception/paired/e026b3cd-8fba-48ec-ae7e-b75d0ea327be_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "6359a479-cdea-49e4-8d44-b95878f0c0a9", "image_1": "Perception/paired/6359a479-cdea-49e4-8d44-b95878f0c0a9_0.png", "image_2": "Perception/paired/6359a479-cdea-49e4-8d44-b95878f0c0a9_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "8bb393ba-2e33-4929-a32d-e2f2ef3e678b", "image_1": "Perception/paired/8bb393ba-2e33-4929-a32d-e2f2ef3e678b_0.png", "image_2": "Perception/paired/8bb393ba-2e33-4929-a32d-e2f2ef3e678b_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e1381876-89f3-48db-a2fd-b2e472b80e9a", "image_1": "Perception/paired/e1381876-89f3-48db-a2fd-b2e472b80e9a_0.png", "image_2": "Perception/paired/e1381876-89f3-48db-a2fd-b2e472b80e9a_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "355b19b2-5be8-4d9f-8aea-5895351f47db", "image_1": "Perception/paired/355b19b2-5be8-4d9f-8aea-5895351f47db_0.png", "image_2": "Perception/paired/355b19b2-5be8-4d9f-8aea-5895351f47db_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "75b0529b-4935-4d11-be1c-da4797087fda", "image_1": "Perception/paired/75b0529b-4935-4d11-be1c-da4797087fda_0.png", "image_2": "Perception/paired/75b0529b-4935-4d11-be1c-da4797087fda_1.png", "question": "Considering Image 1 as ground truth, what is the distortion severity rating for Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "8e00da76-92b3-443a-9714-5147e5b0e6be", "image_1": "Perception/paired/8e00da76-92b3-443a-9714-5147e5b0e6be_0.png", "image_2": "Perception/paired/8e00da76-92b3-443a-9714-5147e5b0e6be_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "c368e01f-ede8-48c0-b0b9-3c9d812c1665", "image_1": "Perception/paired/c368e01f-ede8-48c0-b0b9-3c9d812c1665_0.png", "image_2": "Perception/paired/c368e01f-ede8-48c0-b0b9-3c9d812c1665_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "8457dade-135c-432d-b019-a175a173feaa", "image_1": "Perception/paired/8457dade-135c-432d-b019-a175a173feaa_0.png", "image_2": "Perception/paired/8457dade-135c-432d-b019-a175a173feaa_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "2427fb2c-3d39-4f4a-8661-e9a86ce3cb20", "image_1": "Perception/paired/2427fb2c-3d39-4f4a-8661-e9a86ce3cb20_0.png", "image_2": "Perception/paired/2427fb2c-3d39-4f4a-8661-e9a86ce3cb20_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a01dbf81-5168-4eee-af6f-4e6678d11e27", "image_1": "Perception/paired/a01dbf81-5168-4eee-af6f-4e6678d11e27_0.png", "image_2": "Perception/paired/a01dbf81-5168-4eee-af6f-4e6678d11e27_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "1cd27a9f-8aac-4555-81e8-212e13125c0d", "image_1": "Perception/paired/1cd27a9f-8aac-4555-81e8-212e13125c0d_0.png", "image_2": "Perception/paired/1cd27a9f-8aac-4555-81e8-212e13125c0d_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "52dc2193-f347-4908-90c0-a97eb4f24e7f", "image_1": "Perception/paired/52dc2193-f347-4908-90c0-a97eb4f24e7f_0.png", "image_2": "Perception/paired/52dc2193-f347-4908-90c0-a97eb4f24e7f_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "8ce15892-11e4-46c9-8a5f-61e7632d167c", "image_1": "Perception/paired/8ce15892-11e4-46c9-8a5f-61e7632d167c_0.png", "image_2": "Perception/paired/8ce15892-11e4-46c9-8a5f-61e7632d167c_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "dcfa809d-e2a0-4779-af35-c254b68c2a6a", "image_1": "Perception/paired/dcfa809d-e2a0-4779-af35-c254b68c2a6a_0.png", "image_2": "Perception/paired/dcfa809d-e2a0-4779-af35-c254b68c2a6a_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "c427ec5e-026d-487f-bb2e-c491729fd3f6", "image_1": "Perception/paired/c427ec5e-026d-487f-bb2e-c491729fd3f6_0.png", "image_2": "Perception/paired/c427ec5e-026d-487f-bb2e-c491729fd3f6_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "ad0f31f4-d433-4564-8fba-3487f41b3517", "image_1": "Perception/paired/ad0f31f4-d433-4564-8fba-3487f41b3517_0.png", "image_2": "Perception/paired/ad0f31f4-d433-4564-8fba-3487f41b3517_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "dfb8afd8-02c8-4bc4-aad5-f82f76ac2b24", "image_1": "Perception/paired/dfb8afd8-02c8-4bc4-aad5-f82f76ac2b24_0.png", "image_2": "Perception/paired/dfb8afd8-02c8-4bc4-aad5-f82f76ac2b24_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "7bdcf211-0fcc-4ce2-a694-8ec9a2762bed", "image_1": "Perception/paired/7bdcf211-0fcc-4ce2-a694-8ec9a2762bed_0.png", "image_2": "Perception/paired/7bdcf211-0fcc-4ce2-a694-8ec9a2762bed_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "e22a9a52-3350-4cb4-a5a8-b5e90a13fc9d", "image_1": "Perception/paired/e22a9a52-3350-4cb4-a5a8-b5e90a13fc9d_0.png", "image_2": "Perception/paired/e22a9a52-3350-4cb4-a5a8-b5e90a13fc9d_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "9ec322f2-e293-4a16-86be-95fdefe73d7f", "image_1": "Perception/paired/9ec322f2-e293-4a16-86be-95fdefe73d7f_0.png", "image_2": "Perception/paired/9ec322f2-e293-4a16-86be-95fdefe73d7f_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "1166ea56-bebb-4268-97ca-75fca8b1bcfe", "image_1": "Perception/paired/1166ea56-bebb-4268-97ca-75fca8b1bcfe_0.png", "image_2": "Perception/paired/1166ea56-bebb-4268-97ca-75fca8b1bcfe_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "0ecc1df5-cd47-4fae-a86d-d740af1f4832", "image_1": "Perception/paired/0ecc1df5-cd47-4fae-a86d-d740af1f4832_0.png", "image_2": "Perception/paired/0ecc1df5-cd47-4fae-a86d-d740af1f4832_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "ba6ba69b-7d3c-4cb0-be8c-d1890de7481e", "image_1": "Perception/paired/ba6ba69b-7d3c-4cb0-be8c-d1890de7481e_0.png", "image_2": "Perception/paired/ba6ba69b-7d3c-4cb0-be8c-d1890de7481e_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "29c3a6c5-27e1-4102-b0e8-2f2e6d80fbcb", "image_1": "Perception/paired/29c3a6c5-27e1-4102-b0e8-2f2e6d80fbcb_0.png", "image_2": "Perception/paired/29c3a6c5-27e1-4102-b0e8-2f2e6d80fbcb_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "f9a62c8e-5ddb-408d-b04c-101af4f617db", "image_1": "Perception/paired/f9a62c8e-5ddb-408d-b04c-101af4f617db_0.png", "image_2": "Perception/paired/f9a62c8e-5ddb-408d-b04c-101af4f617db_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "09dea8b1-0818-41b9-9926-b4c009769b32", "image_1": "Perception/paired/09dea8b1-0818-41b9-9926-b4c009769b32_0.png", "image_2": "Perception/paired/09dea8b1-0818-41b9-9926-b4c009769b32_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "dc6ceb9c-9ce5-4575-8f5f-31df6c935a98", "image_1": "Perception/paired/dc6ceb9c-9ce5-4575-8f5f-31df6c935a98_0.png", "image_2": "Perception/paired/dc6ceb9c-9ce5-4575-8f5f-31df6c935a98_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "1d599f9d-c505-46aa-8d61-abbccb47d597", "image_1": "Perception/paired/1d599f9d-c505-46aa-8d61-abbccb47d597_0.png", "image_2": "Perception/paired/1d599f9d-c505-46aa-8d61-abbccb47d597_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "5fa8dc42-15a7-4658-a27d-596dbef99f05", "image_1": "Perception/paired/5fa8dc42-15a7-4658-a27d-596dbef99f05_0.png", "image_2": "Perception/paired/5fa8dc42-15a7-4658-a27d-596dbef99f05_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "24563352-6181-4f2e-ba84-08599534ebcf", "image_1": "Perception/paired/24563352-6181-4f2e-ba84-08599534ebcf_0.png", "image_2": "Perception/paired/24563352-6181-4f2e-ba84-08599534ebcf_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "448b8f1f-a9fd-46f3-8359-50f207b6382a", "image_1": "Perception/paired/448b8f1f-a9fd-46f3-8359-50f207b6382a_0.png", "image_2": "Perception/paired/448b8f1f-a9fd-46f3-8359-50f207b6382a_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e8927591-6381-47e7-b0f5-c69e68b171ce", "image_1": "Perception/paired/e8927591-6381-47e7-b0f5-c69e68b171ce_0.png", "image_2": "Perception/paired/e8927591-6381-47e7-b0f5-c69e68b171ce_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "b4667838-6ff1-4111-89b4-f01056c3b63e", "image_1": "Perception/paired/b4667838-6ff1-4111-89b4-f01056c3b63e_0.png", "image_2": "Perception/paired/b4667838-6ff1-4111-89b4-f01056c3b63e_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "0fe47763-8d98-4b07-a3a9-37c97dac2638", "image_1": "Perception/paired/0fe47763-8d98-4b07-a3a9-37c97dac2638_0.png", "image_2": "Perception/paired/0fe47763-8d98-4b07-a3a9-37c97dac2638_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "9dbae084-a084-49d4-86df-c65237c0ee5c", "image_1": "Perception/paired/9dbae084-a084-49d4-86df-c65237c0ee5c_0.png", "image_2": "Perception/paired/9dbae084-a084-49d4-86df-c65237c0ee5c_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "b5bc55f8-451d-46e7-b6f7-a25c5642113e", "image_1": "Perception/paired/b5bc55f8-451d-46e7-b6f7-a25c5642113e_0.png", "image_2": "Perception/paired/b5bc55f8-451d-46e7-b6f7-a25c5642113e_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "e89ee988-507f-456f-bf02-fc0c8b51e61d", "image_1": "Perception/paired/e89ee988-507f-456f-bf02-fc0c8b51e61d_0.png", "image_2": "Perception/paired/e89ee988-507f-456f-bf02-fc0c8b51e61d_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e6946043-0632-451f-8e4d-1c2cec18e73a", "image_1": "Perception/paired/e6946043-0632-451f-8e4d-1c2cec18e73a_0.png", "image_2": "Perception/paired/e6946043-0632-451f-8e4d-1c2cec18e73a_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "0e4724ed-52cb-4cda-a6c4-02f8cc6e831d", "image_1": "Perception/paired/0e4724ed-52cb-4cda-a6c4-02f8cc6e831d_0.png", "image_2": "Perception/paired/0e4724ed-52cb-4cda-a6c4-02f8cc6e831d_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "acc3211a-7fd8-426a-bad1-8698c894730a", "image_1": "Perception/paired/acc3211a-7fd8-426a-bad1-8698c894730a_0.png", "image_2": "Perception/paired/acc3211a-7fd8-426a-bad1-8698c894730a_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "ab1b96a7-849d-4513-9e70-99bac19ff057", "image_1": "Perception/paired/ab1b96a7-849d-4513-9e70-99bac19ff057_0.png", "image_2": "Perception/paired/ab1b96a7-849d-4513-9e70-99bac19ff057_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "e02fad92-a094-4e51-b934-e1782230abe9", "image_1": "Perception/paired/e02fad92-a094-4e51-b934-e1782230abe9_0.png", "image_2": "Perception/paired/e02fad92-a094-4e51-b934-e1782230abe9_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "6304c145-7a01-4c1f-8e8b-70e837a9477a", "image_1": "Perception/paired/6304c145-7a01-4c1f-8e8b-70e837a9477a_0.png", "image_2": "Perception/paired/6304c145-7a01-4c1f-8e8b-70e837a9477a_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "bf1d86d1-7850-4ef5-815a-887a4744cb36", "image_1": "Perception/paired/bf1d86d1-7850-4ef5-815a-887a4744cb36_0.png", "image_2": "Perception/paired/bf1d86d1-7850-4ef5-815a-887a4744cb36_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "024db88e-b4c9-45a6-8fb5-ee8cc1d0bf4a", "image_1": "Perception/paired/024db88e-b4c9-45a6-8fb5-ee8cc1d0bf4a_0.png", "image_2": "Perception/paired/024db88e-b4c9-45a6-8fb5-ee8cc1d0bf4a_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "266c8b3f-c1be-4224-a669-3f9f87effc14", "image_1": "Perception/paired/266c8b3f-c1be-4224-a669-3f9f87effc14_0.png", "image_2": "Perception/paired/266c8b3f-c1be-4224-a669-3f9f87effc14_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "592f775e-dd79-4328-bd97-21dfa3313ae7", "image_1": "Perception/paired/592f775e-dd79-4328-bd97-21dfa3313ae7_0.png", "image_2": "Perception/paired/592f775e-dd79-4328-bd97-21dfa3313ae7_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "efe365d9-70e2-46a6-9be8-044a4000cc67", "image_1": "Perception/paired/efe365d9-70e2-46a6-9be8-044a4000cc67_0.png", "image_2": "Perception/paired/efe365d9-70e2-46a6-9be8-044a4000cc67_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "9d97c7af-b661-4c8f-aec6-404de72ca263", "image_1": "Perception/paired/9d97c7af-b661-4c8f-aec6-404de72ca263_0.png", "image_2": "Perception/paired/9d97c7af-b661-4c8f-aec6-404de72ca263_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "fdd68970-fbee-470b-b8bc-32ac1df876b8", "image_1": "Perception/paired/fdd68970-fbee-470b-b8bc-32ac1df876b8_0.png", "image_2": "Perception/paired/fdd68970-fbee-470b-b8bc-32ac1df876b8_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "4fd765b8-866e-4d0b-b4f1-77d98032e8db", "image_1": "Perception/paired/4fd765b8-866e-4d0b-b4f1-77d98032e8db_0.png", "image_2": "Perception/paired/4fd765b8-866e-4d0b-b4f1-77d98032e8db_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "929a913d-187c-434f-96a1-35b7a36b9f5f", "image_1": "Perception/paired/929a913d-187c-434f-96a1-35b7a36b9f5f_0.png", "image_2": "Perception/paired/929a913d-187c-434f-96a1-35b7a36b9f5f_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "db81bdeb-157d-4a7b-ba54-4bb2c80461f2", "image_1": "Perception/paired/db81bdeb-157d-4a7b-ba54-4bb2c80461f2_0.png", "image_2": "Perception/paired/db81bdeb-157d-4a7b-ba54-4bb2c80461f2_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "ec6d00cf-9d0e-4ad8-80d9-cb8d3942e6a9", "image_1": "Perception/paired/ec6d00cf-9d0e-4ad8-80d9-cb8d3942e6a9_0.png", "image_2": "Perception/paired/ec6d00cf-9d0e-4ad8-80d9-cb8d3942e6a9_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "996d753c-77b2-4702-9b76-a6d5fa0ea62a", "image_1": "Perception/paired/996d753c-77b2-4702-9b76-a6d5fa0ea62a_0.png", "image_2": "Perception/paired/996d753c-77b2-4702-9b76-a6d5fa0ea62a_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "f919c370-40a6-4771-8a41-5d4639136642", "image_1": "Perception/paired/f919c370-40a6-4771-8a41-5d4639136642_0.png", "image_2": "Perception/paired/f919c370-40a6-4771-8a41-5d4639136642_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "8030b5e3-ffc4-441d-a45d-b8eadeb43785", "image_1": "Perception/paired/8030b5e3-ffc4-441d-a45d-b8eadeb43785_0.png", "image_2": "Perception/paired/8030b5e3-ffc4-441d-a45d-b8eadeb43785_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "91b32576-31f9-4634-bd5e-ee100d7fc3a7", "image_1": "Perception/paired/91b32576-31f9-4634-bd5e-ee100d7fc3a7_0.png", "image_2": "Perception/paired/91b32576-31f9-4634-bd5e-ee100d7fc3a7_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "7030d32b-605e-420f-8bbe-a35fc7f68cbb", "image_1": "Perception/paired/7030d32b-605e-420f-8bbe-a35fc7f68cbb_0.png", "image_2": "Perception/paired/7030d32b-605e-420f-8bbe-a35fc7f68cbb_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "d1c183d6-92a9-4666-b5de-fb84c208b6eb", "image_1": "Perception/paired/d1c183d6-92a9-4666-b5de-fb84c208b6eb_0.png", "image_2": "Perception/paired/d1c183d6-92a9-4666-b5de-fb84c208b6eb_1.png", "question": "Considering Image 1 as ground truth, what is the distortion severity rating for Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "75db8cbe-0504-41c6-b86a-6cf201b2f6c2", "image_1": "Perception/paired/75db8cbe-0504-41c6-b86a-6cf201b2f6c2_0.png", "image_2": "Perception/paired/75db8cbe-0504-41c6-b86a-6cf201b2f6c2_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "d799c80b-e9ed-401c-944c-aaa0c443bb94", "image_1": "Perception/paired/d799c80b-e9ed-401c-944c-aaa0c443bb94_0.png", "image_2": "Perception/paired/d799c80b-e9ed-401c-944c-aaa0c443bb94_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "6b71bb95-a46a-42d0-b474-aa2128f2a966", "image_1": "Perception/paired/6b71bb95-a46a-42d0-b474-aa2128f2a966_0.png", "image_2": "Perception/paired/6b71bb95-a46a-42d0-b474-aa2128f2a966_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "97686ad7-d78e-490b-8a30-616a2da1d311", "image_1": "Perception/paired/97686ad7-d78e-490b-8a30-616a2da1d311_0.png", "image_2": "Perception/paired/97686ad7-d78e-490b-8a30-616a2da1d311_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "0a32c8a2-0502-41ac-963f-6196f5874fdb", "image_1": "Perception/paired/0a32c8a2-0502-41ac-963f-6196f5874fdb_0.png", "image_2": "Perception/paired/0a32c8a2-0502-41ac-963f-6196f5874fdb_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "81c856c0-5765-4ed7-b78e-f5f974c07c72", "image_1": "Perception/paired/81c856c0-5765-4ed7-b78e-f5f974c07c72_0.png", "image_2": "Perception/paired/81c856c0-5765-4ed7-b78e-f5f974c07c72_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "db6f520f-5dcb-442b-ad62-f98a618d3336", "image_1": "Perception/paired/db6f520f-5dcb-442b-ad62-f98a618d3336_0.png", "image_2": "Perception/paired/db6f520f-5dcb-442b-ad62-f98a618d3336_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "e0c5c85f-a1db-4993-8f9e-b4e3c4516054", "image_1": "Perception/paired/e0c5c85f-a1db-4993-8f9e-b4e3c4516054_0.png", "image_2": "Perception/paired/e0c5c85f-a1db-4993-8f9e-b4e3c4516054_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "91757593-2a0c-402f-b87b-63670095524b", "image_1": "Perception/paired/91757593-2a0c-402f-b87b-63670095524b_0.png", "image_2": "Perception/paired/91757593-2a0c-402f-b87b-63670095524b_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "e958ed57-f3e5-47ba-9c58-07ee14aa6a57", "image_1": "Perception/paired/e958ed57-f3e5-47ba-9c58-07ee14aa6a57_0.png", "image_2": "Perception/paired/e958ed57-f3e5-47ba-9c58-07ee14aa6a57_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "bf337083-face-4b12-bcd6-a5e466f7bb10", "image_1": "Perception/paired/bf337083-face-4b12-bcd6-a5e466f7bb10_0.png", "image_2": "Perception/paired/bf337083-face-4b12-bcd6-a5e466f7bb10_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "1984260c-ea65-4002-87b3-1311a4b74b9d", "image_1": "Perception/paired/1984260c-ea65-4002-87b3-1311a4b74b9d_0.png", "image_2": "Perception/paired/1984260c-ea65-4002-87b3-1311a4b74b9d_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "8f9b602b-ce70-4e7f-bd34-4d94127c2687", "image_1": "Perception/paired/8f9b602b-ce70-4e7f-bd34-4d94127c2687_0.png", "image_2": "Perception/paired/8f9b602b-ce70-4e7f-bd34-4d94127c2687_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "fd00fced-7b9f-40c6-8296-61d82a1f7ce8", "image_1": "Perception/paired/fd00fced-7b9f-40c6-8296-61d82a1f7ce8_0.png", "image_2": "Perception/paired/fd00fced-7b9f-40c6-8296-61d82a1f7ce8_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "ebddd853-29d8-4da1-a406-1f51b2b35714", "image_1": "Perception/paired/ebddd853-29d8-4da1-a406-1f51b2b35714_0.png", "image_2": "Perception/paired/ebddd853-29d8-4da1-a406-1f51b2b35714_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "981c45ad-99ab-42b5-a056-7ec7f9caf834", "image_1": "Perception/paired/981c45ad-99ab-42b5-a056-7ec7f9caf834_0.png", "image_2": "Perception/paired/981c45ad-99ab-42b5-a056-7ec7f9caf834_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "a1e77950-a118-494c-b6cc-c8db96917eb3", "image_1": "Perception/paired/a1e77950-a118-494c-b6cc-c8db96917eb3_0.png", "image_2": "Perception/paired/a1e77950-a118-494c-b6cc-c8db96917eb3_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "1de7efa2-0031-4e01-aef2-df08de6b8d4b", "image_1": "Perception/paired/1de7efa2-0031-4e01-aef2-df08de6b8d4b_0.png", "image_2": "Perception/paired/1de7efa2-0031-4e01-aef2-df08de6b8d4b_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "14652baa-2ba9-4481-b031-f590a20d1591", "image_1": "Perception/paired/14652baa-2ba9-4481-b031-f590a20d1591_0.png", "image_2": "Perception/paired/14652baa-2ba9-4481-b031-f590a20d1591_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "47f8d328-1ea9-4651-91af-a25890adaf22", "image_1": "Perception/paired/47f8d328-1ea9-4651-91af-a25890adaf22_0.png", "image_2": "Perception/paired/47f8d328-1ea9-4651-91af-a25890adaf22_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "239a834a-dd65-45f4-876b-4ee28759c0d0", "image_1": "Perception/paired/239a834a-dd65-45f4-876b-4ee28759c0d0_0.png", "image_2": "Perception/paired/239a834a-dd65-45f4-876b-4ee28759c0d0_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "e9b915e4-f2fe-4465-a9c0-83356c2f845e", "image_1": "Perception/paired/e9b915e4-f2fe-4465-a9c0-83356c2f845e_0.png", "image_2": "Perception/paired/e9b915e4-f2fe-4465-a9c0-83356c2f845e_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "f4396189-d740-4ea3-8119-1452a1116cca", "image_1": "Perception/paired/f4396189-d740-4ea3-8119-1452a1116cca_0.png", "image_2": "Perception/paired/f4396189-d740-4ea3-8119-1452a1116cca_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "2d728b89-8448-4ee3-8e12-43c3227a5b0c", "image_1": "Perception/paired/2d728b89-8448-4ee3-8e12-43c3227a5b0c_0.png", "image_2": "Perception/paired/2d728b89-8448-4ee3-8e12-43c3227a5b0c_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "02b046f4-3bdc-4272-8b0c-857c535c7fd3", "image_1": "Perception/paired/02b046f4-3bdc-4272-8b0c-857c535c7fd3_0.png", "image_2": "Perception/paired/02b046f4-3bdc-4272-8b0c-857c535c7fd3_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "dabaa06e-65b7-4079-9d83-a98090e3ade9", "image_1": "Perception/paired/dabaa06e-65b7-4079-9d83-a98090e3ade9_0.png", "image_2": "Perception/paired/dabaa06e-65b7-4079-9d83-a98090e3ade9_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e1b5851f-2e4b-44bc-8a3f-6a75dd7d92df", "image_1": "Perception/paired/e1b5851f-2e4b-44bc-8a3f-6a75dd7d92df_0.png", "image_2": "Perception/paired/e1b5851f-2e4b-44bc-8a3f-6a75dd7d92df_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "d3dab651-dba5-4d4f-8cc4-c39b76320c46", "image_1": "Perception/paired/d3dab651-dba5-4d4f-8cc4-c39b76320c46_0.png", "image_2": "Perception/paired/d3dab651-dba5-4d4f-8cc4-c39b76320c46_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e572294d-53a1-4a17-851f-3cbeaacdf094", "image_1": "Perception/paired/e572294d-53a1-4a17-851f-3cbeaacdf094_0.png", "image_2": "Perception/paired/e572294d-53a1-4a17-851f-3cbeaacdf094_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "5b71af00-35fc-409f-b4fa-7e8da8cff1b9", "image_1": "Perception/paired/5b71af00-35fc-409f-b4fa-7e8da8cff1b9_0.png", "image_2": "Perception/paired/5b71af00-35fc-409f-b4fa-7e8da8cff1b9_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "1cca1c39-59da-4e59-a96f-dc52127a8a50", "image_1": "Perception/paired/1cca1c39-59da-4e59-a96f-dc52127a8a50_0.png", "image_2": "Perception/paired/1cca1c39-59da-4e59-a96f-dc52127a8a50_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "bfc12afb-7655-48f2-a47c-63bfc0577eca", "image_1": "Perception/paired/bfc12afb-7655-48f2-a47c-63bfc0577eca_0.png", "image_2": "Perception/paired/bfc12afb-7655-48f2-a47c-63bfc0577eca_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "596d6bdd-426c-4ac0-ba7a-eade88750456", "image_1": "Perception/paired/596d6bdd-426c-4ac0-ba7a-eade88750456_0.png", "image_2": "Perception/paired/596d6bdd-426c-4ac0-ba7a-eade88750456_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "a0dabc5f-6a80-40de-a6d4-4e1ffedc686a", "image_1": "Perception/paired/a0dabc5f-6a80-40de-a6d4-4e1ffedc686a_0.png", "image_2": "Perception/paired/a0dabc5f-6a80-40de-a6d4-4e1ffedc686a_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "38b62a69-56f6-4d2c-9282-02a6d512253c", "image_1": "Perception/paired/38b62a69-56f6-4d2c-9282-02a6d512253c_0.png", "image_2": "Perception/paired/38b62a69-56f6-4d2c-9282-02a6d512253c_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "6bbb3290-bd8e-4101-8f4c-9409bd57bab4", "image_1": "Perception/paired/6bbb3290-bd8e-4101-8f4c-9409bd57bab4_0.png", "image_2": "Perception/paired/6bbb3290-bd8e-4101-8f4c-9409bd57bab4_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "678fef5d-07f1-4457-a2d8-ecd57291b731", "image_1": "Perception/paired/678fef5d-07f1-4457-a2d8-ecd57291b731_0.png", "image_2": "Perception/paired/678fef5d-07f1-4457-a2d8-ecd57291b731_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "8f71b6df-4f86-499f-a3e3-5f65db2f4c1d", "image_1": "Perception/paired/8f71b6df-4f86-499f-a3e3-5f65db2f4c1d_0.png", "image_2": "Perception/paired/8f71b6df-4f86-499f-a3e3-5f65db2f4c1d_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "bea832ab-4c71-49d2-bba1-e834cee208b2", "image_1": "Perception/paired/bea832ab-4c71-49d2-bba1-e834cee208b2_0.png", "image_2": "Perception/paired/bea832ab-4c71-49d2-bba1-e834cee208b2_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a1ca8fa5-76a9-43b4-912a-90f2f60dfc41", "image_1": "Perception/paired/a1ca8fa5-76a9-43b4-912a-90f2f60dfc41_0.png", "image_2": "Perception/paired/a1ca8fa5-76a9-43b4-912a-90f2f60dfc41_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "1c194886-4a52-4a4c-ab7d-9a8f7e1b1dc5", "image_1": "Perception/paired/1c194886-4a52-4a4c-ab7d-9a8f7e1b1dc5_0.png", "image_2": "Perception/paired/1c194886-4a52-4a4c-ab7d-9a8f7e1b1dc5_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "06808f67-404f-45b9-9541-cdd0ffdf080b", "image_1": "Perception/paired/06808f67-404f-45b9-9541-cdd0ffdf080b_0.png", "image_2": "Perception/paired/06808f67-404f-45b9-9541-cdd0ffdf080b_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "d361c311-ddd0-4d81-83b2-eda86c04d4f5", "image_1": "Perception/paired/d361c311-ddd0-4d81-83b2-eda86c04d4f5_0.png", "image_2": "Perception/paired/d361c311-ddd0-4d81-83b2-eda86c04d4f5_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "acf7e36b-69d7-46b2-ac42-84f2c6d2950f", "image_1": "Perception/paired/acf7e36b-69d7-46b2-ac42-84f2c6d2950f_0.png", "image_2": "Perception/paired/acf7e36b-69d7-46b2-ac42-84f2c6d2950f_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "84890a58-3139-45f7-a417-890a98ce7da0", "image_1": "Perception/paired/84890a58-3139-45f7-a417-890a98ce7da0_0.png", "image_2": "Perception/paired/84890a58-3139-45f7-a417-890a98ce7da0_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "f955398d-77b9-479a-bc44-aa3439a74ac7", "image_1": "Perception/paired/f955398d-77b9-479a-bc44-aa3439a74ac7_0.png", "image_2": "Perception/paired/f955398d-77b9-479a-bc44-aa3439a74ac7_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "729abe00-638a-4edc-8001-06b478039677", "image_1": "Perception/paired/729abe00-638a-4edc-8001-06b478039677_0.png", "image_2": "Perception/paired/729abe00-638a-4edc-8001-06b478039677_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "3722c2df-df13-47dc-9481-37249b1bdfe6", "image_1": "Perception/paired/3722c2df-df13-47dc-9481-37249b1bdfe6_0.png", "image_2": "Perception/paired/3722c2df-df13-47dc-9481-37249b1bdfe6_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "f5f42b27-fd85-4041-8bc3-ee28f9c1796f", "image_1": "Perception/paired/f5f42b27-fd85-4041-8bc3-ee28f9c1796f_0.png", "image_2": "Perception/paired/f5f42b27-fd85-4041-8bc3-ee28f9c1796f_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "ae256839-dede-4d00-b590-0345373723bb", "image_1": "Perception/paired/ae256839-dede-4d00-b590-0345373723bb_0.png", "image_2": "Perception/paired/ae256839-dede-4d00-b590-0345373723bb_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "34ba55a3-2899-44ba-8c39-3945e2e70d15", "image_1": "Perception/paired/34ba55a3-2899-44ba-8c39-3945e2e70d15_0.png", "image_2": "Perception/paired/34ba55a3-2899-44ba-8c39-3945e2e70d15_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "84966afc-8031-42d3-8c27-fa9e973eff48", "image_1": "Perception/paired/84966afc-8031-42d3-8c27-fa9e973eff48_0.png", "image_2": "Perception/paired/84966afc-8031-42d3-8c27-fa9e973eff48_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "995aa35d-ceef-48cf-a946-5f5015e6ad09", "image_1": "Perception/paired/995aa35d-ceef-48cf-a946-5f5015e6ad09_0.png", "image_2": "Perception/paired/995aa35d-ceef-48cf-a946-5f5015e6ad09_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a6147c04-3f57-40db-8075-00d391e3004c", "image_1": "Perception/paired/a6147c04-3f57-40db-8075-00d391e3004c_0.png", "image_2": "Perception/paired/a6147c04-3f57-40db-8075-00d391e3004c_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "04b1aa56-493c-427f-bfdc-4eaa27f76dd4", "image_1": "Perception/paired/04b1aa56-493c-427f-bfdc-4eaa27f76dd4_0.png", "image_2": "Perception/paired/04b1aa56-493c-427f-bfdc-4eaa27f76dd4_1.png", "question": "Considering Image 1 as ground truth, what is the distortion severity rating for Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "6d0d7d0b-f68e-4a2e-9aa3-ca97d378b9e1", "image_1": "Perception/paired/6d0d7d0b-f68e-4a2e-9aa3-ca97d378b9e1_0.png", "image_2": "Perception/paired/6d0d7d0b-f68e-4a2e-9aa3-ca97d378b9e1_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "7bd66d73-717f-4433-9cf9-2344de9fbce8", "image_1": "Perception/paired/7bd66d73-717f-4433-9cf9-2344de9fbce8_0.png", "image_2": "Perception/paired/7bd66d73-717f-4433-9cf9-2344de9fbce8_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "fb20d779-c6fd-405c-a05a-9bbc3aae03e0", "image_1": "Perception/paired/fb20d779-c6fd-405c-a05a-9bbc3aae03e0_0.png", "image_2": "Perception/paired/fb20d779-c6fd-405c-a05a-9bbc3aae03e0_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "9fcdfb22-c192-4207-957d-8d0b4bb394b1", "image_1": "Perception/paired/9fcdfb22-c192-4207-957d-8d0b4bb394b1_0.png", "image_2": "Perception/paired/9fcdfb22-c192-4207-957d-8d0b4bb394b1_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "4c7797d8-9113-4311-90a0-9aa8957334f5", "image_1": "Perception/paired/4c7797d8-9113-4311-90a0-9aa8957334f5_0.png", "image_2": "Perception/paired/4c7797d8-9113-4311-90a0-9aa8957334f5_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "21de4a91-d746-46bf-becb-e9e168c7e1b5", "image_1": "Perception/paired/21de4a91-d746-46bf-becb-e9e168c7e1b5_0.png", "image_2": "Perception/paired/21de4a91-d746-46bf-becb-e9e168c7e1b5_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "a0553f1d-f3b9-4da4-b2ec-0dc99423c77b", "image_1": "Perception/paired/a0553f1d-f3b9-4da4-b2ec-0dc99423c77b_0.png", "image_2": "Perception/paired/a0553f1d-f3b9-4da4-b2ec-0dc99423c77b_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "f2665f8e-607f-4e77-923f-e0f8cf3d4f37", "image_1": "Perception/paired/f2665f8e-607f-4e77-923f-e0f8cf3d4f37_0.png", "image_2": "Perception/paired/f2665f8e-607f-4e77-923f-e0f8cf3d4f37_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "6366f73b-7dd9-4cdc-91de-641eb20288cd", "image_1": "Perception/paired/6366f73b-7dd9-4cdc-91de-641eb20288cd_0.png", "image_2": "Perception/paired/6366f73b-7dd9-4cdc-91de-641eb20288cd_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "ad48f73e-4490-4430-8a46-d0495eb6d630", "image_1": "Perception/paired/ad48f73e-4490-4430-8a46-d0495eb6d630_0.png", "image_2": "Perception/paired/ad48f73e-4490-4430-8a46-d0495eb6d630_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "8f5c3362-d193-4fef-8893-c20404fa2505", "image_1": "Perception/paired/8f5c3362-d193-4fef-8893-c20404fa2505_0.png", "image_2": "Perception/paired/8f5c3362-d193-4fef-8893-c20404fa2505_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "09147ccb-4412-464e-9c92-6504ae09f865", "image_1": "Perception/paired/09147ccb-4412-464e-9c92-6504ae09f865_0.png", "image_2": "Perception/paired/09147ccb-4412-464e-9c92-6504ae09f865_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "264a56e5-b1ae-481e-b543-25d34a24c879", "image_1": "Perception/paired/264a56e5-b1ae-481e-b543-25d34a24c879_0.png", "image_2": "Perception/paired/264a56e5-b1ae-481e-b543-25d34a24c879_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "6b2650fa-ed72-4a4c-8f1a-16853613dd32", "image_1": "Perception/paired/6b2650fa-ed72-4a4c-8f1a-16853613dd32_0.png", "image_2": "Perception/paired/6b2650fa-ed72-4a4c-8f1a-16853613dd32_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "de3249fb-cfbf-407e-a9fe-82972fd1a724", "image_1": "Perception/paired/de3249fb-cfbf-407e-a9fe-82972fd1a724_0.png", "image_2": "Perception/paired/de3249fb-cfbf-407e-a9fe-82972fd1a724_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "df6b284f-b5d7-422c-88f2-937d68ba4971", "image_1": "Perception/paired/df6b284f-b5d7-422c-88f2-937d68ba4971_0.png", "image_2": "Perception/paired/df6b284f-b5d7-422c-88f2-937d68ba4971_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "cbb2b1ad-82c2-4c94-8393-ac3a98e1e00e", "image_1": "Perception/paired/cbb2b1ad-82c2-4c94-8393-ac3a98e1e00e_0.png", "image_2": "Perception/paired/cbb2b1ad-82c2-4c94-8393-ac3a98e1e00e_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "a1d4eaca-699d-4e5b-99db-bef2a6314d41", "image_1": "Perception/paired/a1d4eaca-699d-4e5b-99db-bef2a6314d41_0.png", "image_2": "Perception/paired/a1d4eaca-699d-4e5b-99db-bef2a6314d41_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "d3e0ea7c-22a4-462d-a040-58192c647834", "image_1": "Perception/paired/d3e0ea7c-22a4-462d-a040-58192c647834_0.png", "image_2": "Perception/paired/d3e0ea7c-22a4-462d-a040-58192c647834_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "5343dfbe-8dfb-4edc-b396-3e06ceb8193f", "image_1": "Perception/paired/5343dfbe-8dfb-4edc-b396-3e06ceb8193f_0.png", "image_2": "Perception/paired/5343dfbe-8dfb-4edc-b396-3e06ceb8193f_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "dbb0a734-dda5-44cd-ad89-873d55bb6314", "image_1": "Perception/paired/dbb0a734-dda5-44cd-ad89-873d55bb6314_0.png", "image_2": "Perception/paired/dbb0a734-dda5-44cd-ad89-873d55bb6314_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "c4c93b62-4da0-43fc-b6d9-1dc2ce8f9a0c", "image_1": "Perception/paired/c4c93b62-4da0-43fc-b6d9-1dc2ce8f9a0c_0.png", "image_2": "Perception/paired/c4c93b62-4da0-43fc-b6d9-1dc2ce8f9a0c_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "9776615a-ff8c-4e32-8e0b-3d50e8566594", "image_1": "Perception/paired/9776615a-ff8c-4e32-8e0b-3d50e8566594_0.png", "image_2": "Perception/paired/9776615a-ff8c-4e32-8e0b-3d50e8566594_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "1ecdb23a-9676-4b89-bc64-e9f13175604e", "image_1": "Perception/paired/1ecdb23a-9676-4b89-bc64-e9f13175604e_0.png", "image_2": "Perception/paired/1ecdb23a-9676-4b89-bc64-e9f13175604e_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "7e5a3a86-3b6c-426f-af2e-db3719e8e45b", "image_1": "Perception/paired/7e5a3a86-3b6c-426f-af2e-db3719e8e45b_0.png", "image_2": "Perception/paired/7e5a3a86-3b6c-426f-af2e-db3719e8e45b_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "7c069ec7-e7c1-44d2-9304-3e297a9ea5a8", "image_1": "Perception/paired/7c069ec7-e7c1-44d2-9304-3e297a9ea5a8_0.png", "image_2": "Perception/paired/7c069ec7-e7c1-44d2-9304-3e297a9ea5a8_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "6d799184-8190-43fa-8e04-4a48963c40d4", "image_1": "Perception/paired/6d799184-8190-43fa-8e04-4a48963c40d4_0.png", "image_2": "Perception/paired/6d799184-8190-43fa-8e04-4a48963c40d4_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "3181c5d0-0139-4b8c-bc0d-7830130585ef", "image_1": "Perception/paired/3181c5d0-0139-4b8c-bc0d-7830130585ef_0.png", "image_2": "Perception/paired/3181c5d0-0139-4b8c-bc0d-7830130585ef_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "bbe36fff-f6f8-4169-98fc-24c1a141d1c5", "image_1": "Perception/paired/bbe36fff-f6f8-4169-98fc-24c1a141d1c5_0.png", "image_2": "Perception/paired/bbe36fff-f6f8-4169-98fc-24c1a141d1c5_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "401a87ec-b395-49b7-9402-f2feb4ba4805", "image_1": "Perception/paired/401a87ec-b395-49b7-9402-f2feb4ba4805_0.png", "image_2": "Perception/paired/401a87ec-b395-49b7-9402-f2feb4ba4805_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "16e11e6d-4847-415b-bcd8-391f5e1c7c3a", "image_1": "Perception/paired/16e11e6d-4847-415b-bcd8-391f5e1c7c3a_0.png", "image_2": "Perception/paired/16e11e6d-4847-415b-bcd8-391f5e1c7c3a_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "5139b602-09cd-4e2c-a897-4d9318a35fec", "image_1": "Perception/paired/5139b602-09cd-4e2c-a897-4d9318a35fec_0.png", "image_2": "Perception/paired/5139b602-09cd-4e2c-a897-4d9318a35fec_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "df5e999a-b361-4a40-bd21-ee45c8e1d381", "image_1": "Perception/paired/df5e999a-b361-4a40-bd21-ee45c8e1d381_0.png", "image_2": "Perception/paired/df5e999a-b361-4a40-bd21-ee45c8e1d381_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "3788af17-4975-470c-ba96-7af0ceb95a2e", "image_1": "Perception/paired/3788af17-4975-470c-ba96-7af0ceb95a2e_0.png", "image_2": "Perception/paired/3788af17-4975-470c-ba96-7af0ceb95a2e_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "5b7a846a-233d-47bc-aae1-c0599d6c0f44", "image_1": "Perception/paired/5b7a846a-233d-47bc-aae1-c0599d6c0f44_0.png", "image_2": "Perception/paired/5b7a846a-233d-47bc-aae1-c0599d6c0f44_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "2193bb93-e8f7-4185-ab39-8ff60928c506", "image_1": "Perception/paired/2193bb93-e8f7-4185-ab39-8ff60928c506_0.png", "image_2": "Perception/paired/2193bb93-e8f7-4185-ab39-8ff60928c506_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "c805663d-10ec-4ba8-85f2-606c9b86c69e", "image_1": "Perception/paired/c805663d-10ec-4ba8-85f2-606c9b86c69e_0.png", "image_2": "Perception/paired/c805663d-10ec-4ba8-85f2-606c9b86c69e_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "588a484d-12ea-4a1a-88cc-95eaf0401a36", "image_1": "Perception/paired/588a484d-12ea-4a1a-88cc-95eaf0401a36_0.png", "image_2": "Perception/paired/588a484d-12ea-4a1a-88cc-95eaf0401a36_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "ca8d35b4-1195-4b1c-832d-a5de3669e725", "image_1": "Perception/paired/ca8d35b4-1195-4b1c-832d-a5de3669e725_0.png", "image_2": "Perception/paired/ca8d35b4-1195-4b1c-832d-a5de3669e725_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "caebba56-3abf-4acd-a598-ee857a9f95a5", "image_1": "Perception/paired/caebba56-3abf-4acd-a598-ee857a9f95a5_0.png", "image_2": "Perception/paired/caebba56-3abf-4acd-a598-ee857a9f95a5_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "6cb7398c-8d6f-4082-b2e0-f8a6fdaaa179", "image_1": "Perception/paired/6cb7398c-8d6f-4082-b2e0-f8a6fdaaa179_0.png", "image_2": "Perception/paired/6cb7398c-8d6f-4082-b2e0-f8a6fdaaa179_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "42bd178c-c232-412c-b780-0a2ac03f12e6", "image_1": "Perception/paired/42bd178c-c232-412c-b780-0a2ac03f12e6_0.png", "image_2": "Perception/paired/42bd178c-c232-412c-b780-0a2ac03f12e6_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "75605ccf-c6fc-4b2d-986a-84b8638d27dd", "image_1": "Perception/paired/75605ccf-c6fc-4b2d-986a-84b8638d27dd_0.png", "image_2": "Perception/paired/75605ccf-c6fc-4b2d-986a-84b8638d27dd_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "120b893e-0eb3-4880-8989-779c064d39e9", "image_1": "Perception/paired/120b893e-0eb3-4880-8989-779c064d39e9_0.png", "image_2": "Perception/paired/120b893e-0eb3-4880-8989-779c064d39e9_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "29c10001-7868-4637-b00a-051c35bbba1c", "image_1": "Perception/paired/29c10001-7868-4637-b00a-051c35bbba1c_0.png", "image_2": "Perception/paired/29c10001-7868-4637-b00a-051c35bbba1c_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "21fc2ced-a96b-4bd2-9dcb-d2c2cc83848e", "image_1": "Perception/paired/21fc2ced-a96b-4bd2-9dcb-d2c2cc83848e_0.png", "image_2": "Perception/paired/21fc2ced-a96b-4bd2-9dcb-d2c2cc83848e_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "3fb5e18d-bc9b-462e-8e12-ce2fcffd86d1", "image_1": "Perception/paired/3fb5e18d-bc9b-462e-8e12-ce2fcffd86d1_0.png", "image_2": "Perception/paired/3fb5e18d-bc9b-462e-8e12-ce2fcffd86d1_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "388b730d-9866-40aa-8a5b-9724c7dfb389", "image_1": "Perception/paired/388b730d-9866-40aa-8a5b-9724c7dfb389_0.png", "image_2": "Perception/paired/388b730d-9866-40aa-8a5b-9724c7dfb389_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "5fe52499-4cf6-4f58-99ec-6cbdcd2202bf", "image_1": "Perception/paired/5fe52499-4cf6-4f58-99ec-6cbdcd2202bf_0.png", "image_2": "Perception/paired/5fe52499-4cf6-4f58-99ec-6cbdcd2202bf_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "264f8ecb-bab4-406b-9525-cf61d5bc24bc", "image_1": "Perception/paired/264f8ecb-bab4-406b-9525-cf61d5bc24bc_0.png", "image_2": "Perception/paired/264f8ecb-bab4-406b-9525-cf61d5bc24bc_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "839c8854-ced6-4391-a62a-d23e1fe6e050", "image_1": "Perception/paired/839c8854-ced6-4391-a62a-d23e1fe6e050_0.png", "image_2": "Perception/paired/839c8854-ced6-4391-a62a-d23e1fe6e050_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "063eb743-f2b3-47af-b346-f49e84b77e40", "image_1": "Perception/paired/063eb743-f2b3-47af-b346-f49e84b77e40_0.png", "image_2": "Perception/paired/063eb743-f2b3-47af-b346-f49e84b77e40_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a2b33dec-5ffc-45b0-8e79-aa861949e8b8", "image_1": "Perception/paired/a2b33dec-5ffc-45b0-8e79-aa861949e8b8_0.png", "image_2": "Perception/paired/a2b33dec-5ffc-45b0-8e79-aa861949e8b8_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "3f36c6a4-dac8-4bff-9d23-d28ba1bc5bfc", "image_1": "Perception/paired/3f36c6a4-dac8-4bff-9d23-d28ba1bc5bfc_0.png", "image_2": "Perception/paired/3f36c6a4-dac8-4bff-9d23-d28ba1bc5bfc_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "70a3177e-2471-42dc-a05a-a2246b4fc4ae", "image_1": "Perception/paired/70a3177e-2471-42dc-a05a-a2246b4fc4ae_0.png", "image_2": "Perception/paired/70a3177e-2471-42dc-a05a-a2246b4fc4ae_1.png", "question": "Considering Image 1 as ground truth, what is the distortion severity rating for Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "967e855a-d143-4824-b0dc-552b0e2cf9e6", "image_1": "Perception/paired/967e855a-d143-4824-b0dc-552b0e2cf9e6_0.png", "image_2": "Perception/paired/967e855a-d143-4824-b0dc-552b0e2cf9e6_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "d8baae27-ddd2-435d-a79e-b62a5b98c6f6", "image_1": "Perception/paired/d8baae27-ddd2-435d-a79e-b62a5b98c6f6_0.png", "image_2": "Perception/paired/d8baae27-ddd2-435d-a79e-b62a5b98c6f6_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "6274a20a-99ea-4a51-ae84-f29e9e251083", "image_1": "Perception/paired/6274a20a-99ea-4a51-ae84-f29e9e251083_0.png", "image_2": "Perception/paired/6274a20a-99ea-4a51-ae84-f29e9e251083_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "47094037-1f3c-44e2-bfb6-fa36b3ffd922", "image_1": "Perception/paired/47094037-1f3c-44e2-bfb6-fa36b3ffd922_0.png", "image_2": "Perception/paired/47094037-1f3c-44e2-bfb6-fa36b3ffd922_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "5168fe72-65a9-4ab3-bcdb-3b044fde43fd", "image_1": "Perception/paired/5168fe72-65a9-4ab3-bcdb-3b044fde43fd_0.png", "image_2": "Perception/paired/5168fe72-65a9-4ab3-bcdb-3b044fde43fd_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "97ed7a89-08a4-4871-97a9-0c8ac91b23e1", "image_1": "Perception/paired/97ed7a89-08a4-4871-97a9-0c8ac91b23e1_0.png", "image_2": "Perception/paired/97ed7a89-08a4-4871-97a9-0c8ac91b23e1_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "99e8a260-8765-4222-9b85-50a08c70d65b", "image_1": "Perception/paired/99e8a260-8765-4222-9b85-50a08c70d65b_0.png", "image_2": "Perception/paired/99e8a260-8765-4222-9b85-50a08c70d65b_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "7a9eb461-9f74-4a89-8850-2f06304aa884", "image_1": "Perception/paired/7a9eb461-9f74-4a89-8850-2f06304aa884_0.png", "image_2": "Perception/paired/7a9eb461-9f74-4a89-8850-2f06304aa884_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "b68c179f-6481-40df-8d71-9b0ff2bc45bf", "image_1": "Perception/paired/b68c179f-6481-40df-8d71-9b0ff2bc45bf_0.png", "image_2": "Perception/paired/b68c179f-6481-40df-8d71-9b0ff2bc45bf_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "94590c75-2092-42da-a326-2f60b675fdc6", "image_1": "Perception/paired/94590c75-2092-42da-a326-2f60b675fdc6_0.png", "image_2": "Perception/paired/94590c75-2092-42da-a326-2f60b675fdc6_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "1e03d028-c6a3-4b0f-98ed-d5ac1eaf5447", "image_1": "Perception/paired/1e03d028-c6a3-4b0f-98ed-d5ac1eaf5447_0.png", "image_2": "Perception/paired/1e03d028-c6a3-4b0f-98ed-d5ac1eaf5447_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "a2beb659-2a77-4ac9-905a-2d6fbef2db46", "image_1": "Perception/paired/a2beb659-2a77-4ac9-905a-2d6fbef2db46_0.png", "image_2": "Perception/paired/a2beb659-2a77-4ac9-905a-2d6fbef2db46_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "f8ef653d-a651-4f0e-a613-60be197dcaca", "image_1": "Perception/paired/f8ef653d-a651-4f0e-a613-60be197dcaca_0.png", "image_2": "Perception/paired/f8ef653d-a651-4f0e-a613-60be197dcaca_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "fa9f1bb9-9886-49a5-b5a5-5eece23556de", "image_1": "Perception/paired/fa9f1bb9-9886-49a5-b5a5-5eece23556de_0.png", "image_2": "Perception/paired/fa9f1bb9-9886-49a5-b5a5-5eece23556de_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "70dfa822-a634-4aca-b601-faf24fd88b3f", "image_1": "Perception/paired/70dfa822-a634-4aca-b601-faf24fd88b3f_0.png", "image_2": "Perception/paired/70dfa822-a634-4aca-b601-faf24fd88b3f_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "3fce6041-1c35-4e94-a92d-1beb59e93d43", "image_1": "Perception/paired/3fce6041-1c35-4e94-a92d-1beb59e93d43_0.png", "image_2": "Perception/paired/3fce6041-1c35-4e94-a92d-1beb59e93d43_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "3ed3e1ec-bdc3-4488-b8c3-725b235e2d74", "image_1": "Perception/paired/3ed3e1ec-bdc3-4488-b8c3-725b235e2d74_0.png", "image_2": "Perception/paired/3ed3e1ec-bdc3-4488-b8c3-725b235e2d74_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "cffe1bbd-e9bc-4dcc-9cb6-c28cc7cc4276", "image_1": "Perception/paired/cffe1bbd-e9bc-4dcc-9cb6-c28cc7cc4276_0.png", "image_2": "Perception/paired/cffe1bbd-e9bc-4dcc-9cb6-c28cc7cc4276_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "797c8894-b776-4ca7-96a9-2cfaa04b1dd4", "image_1": "Perception/paired/797c8894-b776-4ca7-96a9-2cfaa04b1dd4_0.png", "image_2": "Perception/paired/797c8894-b776-4ca7-96a9-2cfaa04b1dd4_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "415e45b9-285e-4d24-ab4e-518e4f30d672", "image_1": "Perception/paired/415e45b9-285e-4d24-ab4e-518e4f30d672_0.png", "image_2": "Perception/paired/415e45b9-285e-4d24-ab4e-518e4f30d672_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "51a437e1-e711-40bd-9b4a-2d0fce09aa52", "image_1": "Perception/paired/51a437e1-e711-40bd-9b4a-2d0fce09aa52_0.png", "image_2": "Perception/paired/51a437e1-e711-40bd-9b4a-2d0fce09aa52_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "90007d3e-f2b5-4a12-b7a4-2044257baf83", "image_1": "Perception/paired/90007d3e-f2b5-4a12-b7a4-2044257baf83_0.png", "image_2": "Perception/paired/90007d3e-f2b5-4a12-b7a4-2044257baf83_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "b50f1399-76e8-4c9e-a970-20b4d48d1e32", "image_1": "Perception/paired/b50f1399-76e8-4c9e-a970-20b4d48d1e32_0.png", "image_2": "Perception/paired/b50f1399-76e8-4c9e-a970-20b4d48d1e32_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "fbb53419-f084-4a28-9c0f-dc3e990499ed", "image_1": "Perception/paired/fbb53419-f084-4a28-9c0f-dc3e990499ed_0.png", "image_2": "Perception/paired/fbb53419-f084-4a28-9c0f-dc3e990499ed_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "3b89db8e-1bcb-4401-bf51-fa4acb8acd53", "image_1": "Perception/paired/3b89db8e-1bcb-4401-bf51-fa4acb8acd53_0.png", "image_2": "Perception/paired/3b89db8e-1bcb-4401-bf51-fa4acb8acd53_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "2e821a18-9e44-4240-9a2c-8939334fd011", "image_1": "Perception/paired/2e821a18-9e44-4240-9a2c-8939334fd011_0.png", "image_2": "Perception/paired/2e821a18-9e44-4240-9a2c-8939334fd011_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "5fcc17be-007a-4967-bd17-dc908254a1e8", "image_1": "Perception/paired/5fcc17be-007a-4967-bd17-dc908254a1e8_0.png", "image_2": "Perception/paired/5fcc17be-007a-4967-bd17-dc908254a1e8_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a7348b4b-b9a4-4481-a995-6d176d72ab0a", "image_1": "Perception/paired/a7348b4b-b9a4-4481-a995-6d176d72ab0a_0.png", "image_2": "Perception/paired/a7348b4b-b9a4-4481-a995-6d176d72ab0a_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "4a403647-3277-48fa-ba5a-e147a9a210c8", "image_1": "Perception/paired/4a403647-3277-48fa-ba5a-e147a9a210c8_0.png", "image_2": "Perception/paired/4a403647-3277-48fa-ba5a-e147a9a210c8_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "b1bec32d-b1d3-4dce-ab9a-88cb94fe72bb", "image_1": "Perception/paired/b1bec32d-b1d3-4dce-ab9a-88cb94fe72bb_0.png", "image_2": "Perception/paired/b1bec32d-b1d3-4dce-ab9a-88cb94fe72bb_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "d5d9fc59-acb4-4b40-8bd6-f587435cf0b8", "image_1": "Perception/paired/d5d9fc59-acb4-4b40-8bd6-f587435cf0b8_0.png", "image_2": "Perception/paired/d5d9fc59-acb4-4b40-8bd6-f587435cf0b8_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "2292cd11-2d4e-4d37-8664-015b566656a6", "image_1": "Perception/paired/2292cd11-2d4e-4d37-8664-015b566656a6_0.png", "image_2": "Perception/paired/2292cd11-2d4e-4d37-8664-015b566656a6_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "011ccfc9-9e1d-46ab-b7ce-12a6c3261f43", "image_1": "Perception/paired/011ccfc9-9e1d-46ab-b7ce-12a6c3261f43_0.png", "image_2": "Perception/paired/011ccfc9-9e1d-46ab-b7ce-12a6c3261f43_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "1c2d1b0a-b0b3-4254-9ba2-2bd61dba4d05", "image_1": "Perception/paired/1c2d1b0a-b0b3-4254-9ba2-2bd61dba4d05_0.png", "image_2": "Perception/paired/1c2d1b0a-b0b3-4254-9ba2-2bd61dba4d05_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "9ce4faa4-20db-42d1-83eb-c24c3fdc9c7f", "image_1": "Perception/paired/9ce4faa4-20db-42d1-83eb-c24c3fdc9c7f_0.png", "image_2": "Perception/paired/9ce4faa4-20db-42d1-83eb-c24c3fdc9c7f_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "278dae4a-5c5a-4ec4-863e-21013f6ed27c", "image_1": "Perception/paired/278dae4a-5c5a-4ec4-863e-21013f6ed27c_0.png", "image_2": "Perception/paired/278dae4a-5c5a-4ec4-863e-21013f6ed27c_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "076a96d9-8206-49d0-9d6a-69c69949c8fd", "image_1": "Perception/paired/076a96d9-8206-49d0-9d6a-69c69949c8fd_0.png", "image_2": "Perception/paired/076a96d9-8206-49d0-9d6a-69c69949c8fd_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "2fbaaca7-857e-45e7-b08c-27b1eb93285e", "image_1": "Perception/paired/2fbaaca7-857e-45e7-b08c-27b1eb93285e_0.png", "image_2": "Perception/paired/2fbaaca7-857e-45e7-b08c-27b1eb93285e_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "19ad2134-6052-4ddc-a83b-84c5c437ce85", "image_1": "Perception/paired/19ad2134-6052-4ddc-a83b-84c5c437ce85_0.png", "image_2": "Perception/paired/19ad2134-6052-4ddc-a83b-84c5c437ce85_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "493a1637-9af5-4c38-b289-597bc1acaa82", "image_1": "Perception/paired/493a1637-9af5-4c38-b289-597bc1acaa82_0.png", "image_2": "Perception/paired/493a1637-9af5-4c38-b289-597bc1acaa82_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "7756bf54-1fd4-43db-878d-a21c5df8f1da", "image_1": "Perception/paired/7756bf54-1fd4-43db-878d-a21c5df8f1da_0.png", "image_2": "Perception/paired/7756bf54-1fd4-43db-878d-a21c5df8f1da_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "90c1dc27-c674-4be7-b92c-99d536226fd2", "image_1": "Perception/paired/90c1dc27-c674-4be7-b92c-99d536226fd2_0.png", "image_2": "Perception/paired/90c1dc27-c674-4be7-b92c-99d536226fd2_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "ee501cbc-ce65-463c-82a9-4f4dfc165dd9", "image_1": "Perception/paired/ee501cbc-ce65-463c-82a9-4f4dfc165dd9_0.png", "image_2": "Perception/paired/ee501cbc-ce65-463c-82a9-4f4dfc165dd9_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "9226459a-9a86-47e0-964c-97d4280c9e2a", "image_1": "Perception/paired/9226459a-9a86-47e0-964c-97d4280c9e2a_0.png", "image_2": "Perception/paired/9226459a-9a86-47e0-964c-97d4280c9e2a_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "7fefe2c1-d96a-43b2-aec3-e2705d7c62cc", "image_1": "Perception/paired/7fefe2c1-d96a-43b2-aec3-e2705d7c62cc_0.png", "image_2": "Perception/paired/7fefe2c1-d96a-43b2-aec3-e2705d7c62cc_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "549d3c9f-57c8-4e16-877a-9fd5dbaa2aa9", "image_1": "Perception/paired/549d3c9f-57c8-4e16-877a-9fd5dbaa2aa9_0.png", "image_2": "Perception/paired/549d3c9f-57c8-4e16-877a-9fd5dbaa2aa9_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "c878b68a-a5c5-41fd-92d4-2924a8b2dc17", "image_1": "Perception/paired/c878b68a-a5c5-41fd-92d4-2924a8b2dc17_0.png", "image_2": "Perception/paired/c878b68a-a5c5-41fd-92d4-2924a8b2dc17_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "0585d156-6ef1-4b44-985b-2f5ab38c47c2", "image_1": "Perception/paired/0585d156-6ef1-4b44-985b-2f5ab38c47c2_0.png", "image_2": "Perception/paired/0585d156-6ef1-4b44-985b-2f5ab38c47c2_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "9da8663f-6601-482e-ba5d-74e5054d6b19", "image_1": "Perception/paired/9da8663f-6601-482e-ba5d-74e5054d6b19_0.png", "image_2": "Perception/paired/9da8663f-6601-482e-ba5d-74e5054d6b19_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "5f0f5842-733f-4079-a058-dfb863d6a2bf", "image_1": "Perception/paired/5f0f5842-733f-4079-a058-dfb863d6a2bf_0.png", "image_2": "Perception/paired/5f0f5842-733f-4079-a058-dfb863d6a2bf_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e9c5f268-b205-44a3-9dfc-ab7de4491fdb", "image_1": "Perception/paired/e9c5f268-b205-44a3-9dfc-ab7de4491fdb_0.png", "image_2": "Perception/paired/e9c5f268-b205-44a3-9dfc-ab7de4491fdb_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "b431255e-2424-4dfe-a967-84979080d14f", "image_1": "Perception/paired/b431255e-2424-4dfe-a967-84979080d14f_0.png", "image_2": "Perception/paired/b431255e-2424-4dfe-a967-84979080d14f_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "c1f0fdfb-a43b-486c-a198-2193daa092be", "image_1": "Perception/paired/c1f0fdfb-a43b-486c-a198-2193daa092be_0.png", "image_2": "Perception/paired/c1f0fdfb-a43b-486c-a198-2193daa092be_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "786810b4-c328-4833-8340-a27e5bade08e", "image_1": "Perception/paired/786810b4-c328-4833-8340-a27e5bade08e_0.png", "image_2": "Perception/paired/786810b4-c328-4833-8340-a27e5bade08e_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "d022ca86-5bb2-4515-96f9-b278d55556e3", "image_1": "Perception/paired/d022ca86-5bb2-4515-96f9-b278d55556e3_0.png", "image_2": "Perception/paired/d022ca86-5bb2-4515-96f9-b278d55556e3_1.png", "question": "Considering Image 1 as ground truth, what is the distortion severity rating for Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "be5363b0-a5fc-4915-9c9a-fae244f70771", "image_1": "Perception/paired/be5363b0-a5fc-4915-9c9a-fae244f70771_0.png", "image_2": "Perception/paired/be5363b0-a5fc-4915-9c9a-fae244f70771_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "3582fe6a-8b3b-4b98-a5c8-6a0d7ebacd3a", "image_1": "Perception/paired/3582fe6a-8b3b-4b98-a5c8-6a0d7ebacd3a_0.png", "image_2": "Perception/paired/3582fe6a-8b3b-4b98-a5c8-6a0d7ebacd3a_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "fe5c4a54-a07f-49a2-9dd3-f6ac467861de", "image_1": "Perception/paired/fe5c4a54-a07f-49a2-9dd3-f6ac467861de_0.png", "image_2": "Perception/paired/fe5c4a54-a07f-49a2-9dd3-f6ac467861de_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "1dab8926-fb90-463f-95f5-759f57264ef8", "image_1": "Perception/paired/1dab8926-fb90-463f-95f5-759f57264ef8_0.png", "image_2": "Perception/paired/1dab8926-fb90-463f-95f5-759f57264ef8_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "21d4c70e-a9aa-41e0-854d-13bdeb3883c5", "image_1": "Perception/paired/21d4c70e-a9aa-41e0-854d-13bdeb3883c5_0.png", "image_2": "Perception/paired/21d4c70e-a9aa-41e0-854d-13bdeb3883c5_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "6b10ffdc-5eb3-4c7f-b94d-b45912b4dc35", "image_1": "Perception/paired/6b10ffdc-5eb3-4c7f-b94d-b45912b4dc35_0.png", "image_2": "Perception/paired/6b10ffdc-5eb3-4c7f-b94d-b45912b4dc35_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "ba2c8bc4-262b-486d-b3c2-312786665b27", "image_1": "Perception/paired/ba2c8bc4-262b-486d-b3c2-312786665b27_0.png", "image_2": "Perception/paired/ba2c8bc4-262b-486d-b3c2-312786665b27_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "1a355178-e881-4066-be36-d991ba1a17b8", "image_1": "Perception/paired/1a355178-e881-4066-be36-d991ba1a17b8_0.png", "image_2": "Perception/paired/1a355178-e881-4066-be36-d991ba1a17b8_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "fccf6884-7555-4327-ae5d-4dc414d051f4", "image_1": "Perception/paired/fccf6884-7555-4327-ae5d-4dc414d051f4_0.png", "image_2": "Perception/paired/fccf6884-7555-4327-ae5d-4dc414d051f4_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "88f9013f-c773-4829-89a0-d52e183c0529", "image_1": "Perception/paired/88f9013f-c773-4829-89a0-d52e183c0529_0.png", "image_2": "Perception/paired/88f9013f-c773-4829-89a0-d52e183c0529_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "330385dd-c31f-4008-9262-a2dbd7ddf629", "image_1": "Perception/paired/330385dd-c31f-4008-9262-a2dbd7ddf629_0.png", "image_2": "Perception/paired/330385dd-c31f-4008-9262-a2dbd7ddf629_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "93d20039-02ff-4df3-9012-b8588869b6ff", "image_1": "Perception/paired/93d20039-02ff-4df3-9012-b8588869b6ff_0.png", "image_2": "Perception/paired/93d20039-02ff-4df3-9012-b8588869b6ff_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "c299b16e-6843-4d86-8c33-e9625c41d34a", "image_1": "Perception/paired/c299b16e-6843-4d86-8c33-e9625c41d34a_0.png", "image_2": "Perception/paired/c299b16e-6843-4d86-8c33-e9625c41d34a_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "07f74958-e6d8-4235-a970-afe0d9a8ad93", "image_1": "Perception/paired/07f74958-e6d8-4235-a970-afe0d9a8ad93_0.png", "image_2": "Perception/paired/07f74958-e6d8-4235-a970-afe0d9a8ad93_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "48fd5920-8102-490d-99ec-a8ff05f85ec5", "image_1": "Perception/paired/48fd5920-8102-490d-99ec-a8ff05f85ec5_0.png", "image_2": "Perception/paired/48fd5920-8102-490d-99ec-a8ff05f85ec5_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "54097d39-9eed-4baf-b239-951583c27c6c", "image_1": "Perception/paired/54097d39-9eed-4baf-b239-951583c27c6c_0.png", "image_2": "Perception/paired/54097d39-9eed-4baf-b239-951583c27c6c_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "74449112-b0cb-4bc3-8690-8103fa3293f0", "image_1": "Perception/paired/74449112-b0cb-4bc3-8690-8103fa3293f0_0.png", "image_2": "Perception/paired/74449112-b0cb-4bc3-8690-8103fa3293f0_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "dca0d750-cb39-41a6-bf5d-e8c666ff5596", "image_1": "Perception/paired/dca0d750-cb39-41a6-bf5d-e8c666ff5596_0.png", "image_2": "Perception/paired/dca0d750-cb39-41a6-bf5d-e8c666ff5596_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "00b0d8f6-08e5-4ac4-8cb8-16d18f17bb2c", "image_1": "Perception/paired/00b0d8f6-08e5-4ac4-8cb8-16d18f17bb2c_0.png", "image_2": "Perception/paired/00b0d8f6-08e5-4ac4-8cb8-16d18f17bb2c_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "62f551ee-588b-477d-a01b-637b35d24797", "image_1": "Perception/paired/62f551ee-588b-477d-a01b-637b35d24797_0.png", "image_2": "Perception/paired/62f551ee-588b-477d-a01b-637b35d24797_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "73262959-150f-4e46-b829-5561bc01cdbc", "image_1": "Perception/paired/73262959-150f-4e46-b829-5561bc01cdbc_0.png", "image_2": "Perception/paired/73262959-150f-4e46-b829-5561bc01cdbc_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "7b144bca-4a06-445b-b1e3-a5118943976f", "image_1": "Perception/paired/7b144bca-4a06-445b-b1e3-a5118943976f_0.png", "image_2": "Perception/paired/7b144bca-4a06-445b-b1e3-a5118943976f_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "4e001c05-ca49-4545-b856-849a7d13d7be", "image_1": "Perception/paired/4e001c05-ca49-4545-b856-849a7d13d7be_0.png", "image_2": "Perception/paired/4e001c05-ca49-4545-b856-849a7d13d7be_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "0179505c-ec85-4573-a109-eedb6c2a17cc", "image_1": "Perception/paired/0179505c-ec85-4573-a109-eedb6c2a17cc_0.png", "image_2": "Perception/paired/0179505c-ec85-4573-a109-eedb6c2a17cc_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "1a87bbf3-f480-4055-82bc-cab29142c7c9", "image_1": "Perception/paired/1a87bbf3-f480-4055-82bc-cab29142c7c9_0.png", "image_2": "Perception/paired/1a87bbf3-f480-4055-82bc-cab29142c7c9_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a21bbc4f-a765-4832-a95d-6e4006b94797", "image_1": "Perception/paired/a21bbc4f-a765-4832-a95d-6e4006b94797_0.png", "image_2": "Perception/paired/a21bbc4f-a765-4832-a95d-6e4006b94797_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "66309f41-6028-4e46-9c32-f0d092f2e9ca", "image_1": "Perception/paired/66309f41-6028-4e46-9c32-f0d092f2e9ca_0.png", "image_2": "Perception/paired/66309f41-6028-4e46-9c32-f0d092f2e9ca_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "cb13adba-c405-49f9-aebe-ef26198207cf", "image_1": "Perception/paired/cb13adba-c405-49f9-aebe-ef26198207cf_0.png", "image_2": "Perception/paired/cb13adba-c405-49f9-aebe-ef26198207cf_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "d7ca77b4-9e98-45e3-99c2-1dd36daa5b8c", "image_1": "Perception/paired/d7ca77b4-9e98-45e3-99c2-1dd36daa5b8c_0.png", "image_2": "Perception/paired/d7ca77b4-9e98-45e3-99c2-1dd36daa5b8c_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a8a8630e-10ba-4ef8-ba32-8d9c16548be9", "image_1": "Perception/paired/a8a8630e-10ba-4ef8-ba32-8d9c16548be9_0.png", "image_2": "Perception/paired/a8a8630e-10ba-4ef8-ba32-8d9c16548be9_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "82a8447c-7ad5-4bed-beb3-4eecf7e1d901", "image_1": "Perception/paired/82a8447c-7ad5-4bed-beb3-4eecf7e1d901_0.png", "image_2": "Perception/paired/82a8447c-7ad5-4bed-beb3-4eecf7e1d901_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a043fa4b-be14-4113-adb6-c346e15d75be", "image_1": "Perception/paired/a043fa4b-be14-4113-adb6-c346e15d75be_0.png", "image_2": "Perception/paired/a043fa4b-be14-4113-adb6-c346e15d75be_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "d572dccd-e354-4c69-a39f-644521966e56", "image_1": "Perception/paired/d572dccd-e354-4c69-a39f-644521966e56_0.png", "image_2": "Perception/paired/d572dccd-e354-4c69-a39f-644521966e56_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "b121dc5e-937a-4ffa-a07e-b792b5dd4603", "image_1": "Perception/paired/b121dc5e-937a-4ffa-a07e-b792b5dd4603_0.png", "image_2": "Perception/paired/b121dc5e-937a-4ffa-a07e-b792b5dd4603_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "3ff9f3bb-45e0-4c7d-a622-1512d1d02566", "image_1": "Perception/paired/3ff9f3bb-45e0-4c7d-a622-1512d1d02566_0.png", "image_2": "Perception/paired/3ff9f3bb-45e0-4c7d-a622-1512d1d02566_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "766fc59f-f022-453d-a1ee-a21986298405", "image_1": "Perception/paired/766fc59f-f022-453d-a1ee-a21986298405_0.png", "image_2": "Perception/paired/766fc59f-f022-453d-a1ee-a21986298405_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "e649cfe2-fc84-47ef-8318-e41df7bc822f", "image_1": "Perception/paired/e649cfe2-fc84-47ef-8318-e41df7bc822f_0.png", "image_2": "Perception/paired/e649cfe2-fc84-47ef-8318-e41df7bc822f_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "80d14ca6-f565-4f82-bd4c-cbbda38866e9", "image_1": "Perception/paired/80d14ca6-f565-4f82-bd4c-cbbda38866e9_0.png", "image_2": "Perception/paired/80d14ca6-f565-4f82-bd4c-cbbda38866e9_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "a8abf5d7-b5eb-4267-95fd-6c79e0312f57", "image_1": "Perception/paired/a8abf5d7-b5eb-4267-95fd-6c79e0312f57_0.png", "image_2": "Perception/paired/a8abf5d7-b5eb-4267-95fd-6c79e0312f57_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "69d040b3-5d3c-4ae0-8cba-b06b32fa9c60", "image_1": "Perception/paired/69d040b3-5d3c-4ae0-8cba-b06b32fa9c60_0.png", "image_2": "Perception/paired/69d040b3-5d3c-4ae0-8cba-b06b32fa9c60_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "c4e18bd7-b8ae-46a3-829d-679bd7864811", "image_1": "Perception/paired/c4e18bd7-b8ae-46a3-829d-679bd7864811_0.png", "image_2": "Perception/paired/c4e18bd7-b8ae-46a3-829d-679bd7864811_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "6e596fb8-e93d-4f69-b81c-78dbd33aa013", "image_1": "Perception/paired/6e596fb8-e93d-4f69-b81c-78dbd33aa013_0.png", "image_2": "Perception/paired/6e596fb8-e93d-4f69-b81c-78dbd33aa013_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "2ff43b45-082f-471d-876e-71cd241034b7", "image_1": "Perception/paired/2ff43b45-082f-471d-876e-71cd241034b7_0.png", "image_2": "Perception/paired/2ff43b45-082f-471d-876e-71cd241034b7_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "c7d2f454-110e-4f9f-9274-790973de14b4", "image_1": "Perception/paired/c7d2f454-110e-4f9f-9274-790973de14b4_0.png", "image_2": "Perception/paired/c7d2f454-110e-4f9f-9274-790973de14b4_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "ebf6fe02-2025-4db7-884b-ff9bb1884665", "image_1": "Perception/paired/ebf6fe02-2025-4db7-884b-ff9bb1884665_0.png", "image_2": "Perception/paired/ebf6fe02-2025-4db7-884b-ff9bb1884665_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "0a2c9b32-0774-4d51-a294-76a4ca00feb9", "image_1": "Perception/paired/0a2c9b32-0774-4d51-a294-76a4ca00feb9_0.png", "image_2": "Perception/paired/0a2c9b32-0774-4d51-a294-76a4ca00feb9_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "84ffcca8-b73b-435c-a45e-7df94f6c8cdd", "image_1": "Perception/paired/84ffcca8-b73b-435c-a45e-7df94f6c8cdd_0.png", "image_2": "Perception/paired/84ffcca8-b73b-435c-a45e-7df94f6c8cdd_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "30a8d05c-20ae-4768-af37-c1d7d96e67b7", "image_1": "Perception/paired/30a8d05c-20ae-4768-af37-c1d7d96e67b7_0.png", "image_2": "Perception/paired/30a8d05c-20ae-4768-af37-c1d7d96e67b7_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "6492e45d-dbc2-4911-8e7d-bf6cb0f205f5", "image_1": "Perception/paired/6492e45d-dbc2-4911-8e7d-bf6cb0f205f5_0.png", "image_2": "Perception/paired/6492e45d-dbc2-4911-8e7d-bf6cb0f205f5_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "96d348fc-a54c-40bc-a373-8eabe71ab810", "image_1": "Perception/paired/96d348fc-a54c-40bc-a373-8eabe71ab810_0.png", "image_2": "Perception/paired/96d348fc-a54c-40bc-a373-8eabe71ab810_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "aefb38a3-0b31-46f6-b531-1f24bdeb4b27", "image_1": "Perception/paired/aefb38a3-0b31-46f6-b531-1f24bdeb4b27_0.png", "image_2": "Perception/paired/aefb38a3-0b31-46f6-b531-1f24bdeb4b27_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "9f0b00ba-926f-449f-b78c-eda50635a509", "image_1": "Perception/paired/9f0b00ba-926f-449f-b78c-eda50635a509_0.png", "image_2": "Perception/paired/9f0b00ba-926f-449f-b78c-eda50635a509_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "4c959a69-78a7-4b0a-aae1-4cbddfaaa841", "image_1": "Perception/paired/4c959a69-78a7-4b0a-aae1-4cbddfaaa841_0.png", "image_2": "Perception/paired/4c959a69-78a7-4b0a-aae1-4cbddfaaa841_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "6fd18ddb-7025-493d-b274-b87a9c9638ea", "image_1": "Perception/paired/6fd18ddb-7025-493d-b274-b87a9c9638ea_0.png", "image_2": "Perception/paired/6fd18ddb-7025-493d-b274-b87a9c9638ea_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "5b17b3b4-a7ab-47da-a399-fdba54bb34fb", "image_1": "Perception/paired/5b17b3b4-a7ab-47da-a399-fdba54bb34fb_0.png", "image_2": "Perception/paired/5b17b3b4-a7ab-47da-a399-fdba54bb34fb_1.png", "question": "Considering Image 1 as ground truth, what is the distortion severity rating for Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "0acd6e4b-ae53-46ae-8e48-dcda5e4597bb", "image_1": "Perception/paired/0acd6e4b-ae53-46ae-8e48-dcda5e4597bb_0.png", "image_2": "Perception/paired/0acd6e4b-ae53-46ae-8e48-dcda5e4597bb_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "255e3e92-3519-4ed6-9047-b8327e21ba92", "image_1": "Perception/paired/255e3e92-3519-4ed6-9047-b8327e21ba92_0.png", "image_2": "Perception/paired/255e3e92-3519-4ed6-9047-b8327e21ba92_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "ae1862e8-f1a5-4d33-8683-fb7f605ff00f", "image_1": "Perception/paired/ae1862e8-f1a5-4d33-8683-fb7f605ff00f_0.png", "image_2": "Perception/paired/ae1862e8-f1a5-4d33-8683-fb7f605ff00f_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "9a6194e7-d4bd-4774-b4d3-7dd81006fda2", "image_1": "Perception/paired/9a6194e7-d4bd-4774-b4d3-7dd81006fda2_0.png", "image_2": "Perception/paired/9a6194e7-d4bd-4774-b4d3-7dd81006fda2_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "8a5e47ae-6724-4669-bc8e-9e7ec43b1226", "image_1": "Perception/paired/8a5e47ae-6724-4669-bc8e-9e7ec43b1226_0.png", "image_2": "Perception/paired/8a5e47ae-6724-4669-bc8e-9e7ec43b1226_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e81e8596-0881-4378-8930-cdfff00068f7", "image_1": "Perception/paired/e81e8596-0881-4378-8930-cdfff00068f7_0.png", "image_2": "Perception/paired/e81e8596-0881-4378-8930-cdfff00068f7_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "026ef7df-5196-40be-ab11-cc1f83936727", "image_1": "Perception/paired/026ef7df-5196-40be-ab11-cc1f83936727_0.png", "image_2": "Perception/paired/026ef7df-5196-40be-ab11-cc1f83936727_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "f618d864-2942-4caf-b610-bd29f75cbb50", "image_1": "Perception/paired/f618d864-2942-4caf-b610-bd29f75cbb50_0.png", "image_2": "Perception/paired/f618d864-2942-4caf-b610-bd29f75cbb50_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "cfde0606-1667-4f82-a64f-f30c3a99ea1c", "image_1": "Perception/paired/cfde0606-1667-4f82-a64f-f30c3a99ea1c_0.png", "image_2": "Perception/paired/cfde0606-1667-4f82-a64f-f30c3a99ea1c_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "5369caaf-3f18-4da1-aa22-8fe879a0cc0d", "image_1": "Perception/paired/5369caaf-3f18-4da1-aa22-8fe879a0cc0d_0.png", "image_2": "Perception/paired/5369caaf-3f18-4da1-aa22-8fe879a0cc0d_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "ab0ea5f9-ced6-4224-abed-c4381b0d7dd3", "image_1": "Perception/paired/ab0ea5f9-ced6-4224-abed-c4381b0d7dd3_0.png", "image_2": "Perception/paired/ab0ea5f9-ced6-4224-abed-c4381b0d7dd3_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "6bc9f08e-f287-4765-b723-2cd6f5ebd97b", "image_1": "Perception/paired/6bc9f08e-f287-4765-b723-2cd6f5ebd97b_0.png", "image_2": "Perception/paired/6bc9f08e-f287-4765-b723-2cd6f5ebd97b_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "00972636-ccf2-4024-83a0-f6e14426fcbd", "image_1": "Perception/paired/00972636-ccf2-4024-83a0-f6e14426fcbd_0.png", "image_2": "Perception/paired/00972636-ccf2-4024-83a0-f6e14426fcbd_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "3e3800fd-7541-4464-b45f-9c87fa171025", "image_1": "Perception/paired/3e3800fd-7541-4464-b45f-9c87fa171025_0.png", "image_2": "Perception/paired/3e3800fd-7541-4464-b45f-9c87fa171025_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "9cde1963-d32a-46de-81a4-50d3508aba17", "image_1": "Perception/paired/9cde1963-d32a-46de-81a4-50d3508aba17_0.png", "image_2": "Perception/paired/9cde1963-d32a-46de-81a4-50d3508aba17_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "88c8f7d0-42b6-4f4a-80ad-0333b7f3bde6", "image_1": "Perception/paired/88c8f7d0-42b6-4f4a-80ad-0333b7f3bde6_0.png", "image_2": "Perception/paired/88c8f7d0-42b6-4f4a-80ad-0333b7f3bde6_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "b49634d2-7614-4dca-aae3-313093b3e754", "image_1": "Perception/paired/b49634d2-7614-4dca-aae3-313093b3e754_0.png", "image_2": "Perception/paired/b49634d2-7614-4dca-aae3-313093b3e754_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "bd42cff7-d9c4-4cfe-a273-b0404c76df06", "image_1": "Perception/paired/bd42cff7-d9c4-4cfe-a273-b0404c76df06_0.png", "image_2": "Perception/paired/bd42cff7-d9c4-4cfe-a273-b0404c76df06_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "a4199f29-8bd5-4bca-bcf0-2c0fa1640f9b", "image_1": "Perception/paired/a4199f29-8bd5-4bca-bcf0-2c0fa1640f9b_0.png", "image_2": "Perception/paired/a4199f29-8bd5-4bca-bcf0-2c0fa1640f9b_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "10e5d8e0-d34c-49a3-a8f0-30f5e8e15987", "image_1": "Perception/paired/10e5d8e0-d34c-49a3-a8f0-30f5e8e15987_0.png", "image_2": "Perception/paired/10e5d8e0-d34c-49a3-a8f0-30f5e8e15987_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "c6e1ebb1-5e4c-48da-b479-76124c828e95", "image_1": "Perception/paired/c6e1ebb1-5e4c-48da-b479-76124c828e95_0.png", "image_2": "Perception/paired/c6e1ebb1-5e4c-48da-b479-76124c828e95_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "198886a5-c96a-40bd-a443-1828994632c5", "image_1": "Perception/paired/198886a5-c96a-40bd-a443-1828994632c5_0.png", "image_2": "Perception/paired/198886a5-c96a-40bd-a443-1828994632c5_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "a2323375-566e-40b6-a8bf-9bf6dc360afb", "image_1": "Perception/paired/a2323375-566e-40b6-a8bf-9bf6dc360afb_0.png", "image_2": "Perception/paired/a2323375-566e-40b6-a8bf-9bf6dc360afb_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "66e7cddf-ed65-4ad1-bec7-0ffbd87669e0", "image_1": "Perception/paired/66e7cddf-ed65-4ad1-bec7-0ffbd87669e0_0.png", "image_2": "Perception/paired/66e7cddf-ed65-4ad1-bec7-0ffbd87669e0_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "8d589c21-23ff-4c11-bcf5-92c07b8dd4fa", "image_1": "Perception/paired/8d589c21-23ff-4c11-bcf5-92c07b8dd4fa_0.png", "image_2": "Perception/paired/8d589c21-23ff-4c11-bcf5-92c07b8dd4fa_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "cd57494f-2631-4063-b9e0-e9c2bde207c8", "image_1": "Perception/paired/cd57494f-2631-4063-b9e0-e9c2bde207c8_0.png", "image_2": "Perception/paired/cd57494f-2631-4063-b9e0-e9c2bde207c8_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "acfb0892-b06b-46bb-97b1-02bdb91f557d", "image_1": "Perception/paired/acfb0892-b06b-46bb-97b1-02bdb91f557d_0.png", "image_2": "Perception/paired/acfb0892-b06b-46bb-97b1-02bdb91f557d_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "eb592496-deed-4ba5-9d5e-7d234afb7a89", "image_1": "Perception/paired/eb592496-deed-4ba5-9d5e-7d234afb7a89_0.png", "image_2": "Perception/paired/eb592496-deed-4ba5-9d5e-7d234afb7a89_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "c2db707a-1d99-4071-a663-c6a1a19d7c31", "image_1": "Perception/paired/c2db707a-1d99-4071-a663-c6a1a19d7c31_0.png", "image_2": "Perception/paired/c2db707a-1d99-4071-a663-c6a1a19d7c31_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "3afe5192-d205-42e1-b7db-83106442fba6", "image_1": "Perception/paired/3afe5192-d205-42e1-b7db-83106442fba6_0.png", "image_2": "Perception/paired/3afe5192-d205-42e1-b7db-83106442fba6_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "91def161-9430-46cb-a932-df96d871716c", "image_1": "Perception/paired/91def161-9430-46cb-a932-df96d871716c_0.png", "image_2": "Perception/paired/91def161-9430-46cb-a932-df96d871716c_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e43e29ea-27da-4fad-9f03-5855c1aadda4", "image_1": "Perception/paired/e43e29ea-27da-4fad-9f03-5855c1aadda4_0.png", "image_2": "Perception/paired/e43e29ea-27da-4fad-9f03-5855c1aadda4_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "0b04b2ac-2871-478f-9839-d71c4188c53d", "image_1": "Perception/paired/0b04b2ac-2871-478f-9839-d71c4188c53d_0.png", "image_2": "Perception/paired/0b04b2ac-2871-478f-9839-d71c4188c53d_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "93df3dc9-af29-4973-b454-637c29dc0da1", "image_1": "Perception/paired/93df3dc9-af29-4973-b454-637c29dc0da1_0.png", "image_2": "Perception/paired/93df3dc9-af29-4973-b454-637c29dc0da1_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "8037085f-2023-4e8f-bdde-265ef532104d", "image_1": "Perception/paired/8037085f-2023-4e8f-bdde-265ef532104d_0.png", "image_2": "Perception/paired/8037085f-2023-4e8f-bdde-265ef532104d_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "a80de7a6-cee7-47ad-aec7-a29862702e48", "image_1": "Perception/paired/a80de7a6-cee7-47ad-aec7-a29862702e48_0.png", "image_2": "Perception/paired/a80de7a6-cee7-47ad-aec7-a29862702e48_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "7d4fe081-00b7-406e-a586-1946fcfae937", "image_1": "Perception/paired/7d4fe081-00b7-406e-a586-1946fcfae937_0.png", "image_2": "Perception/paired/7d4fe081-00b7-406e-a586-1946fcfae937_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "247de509-9858-43d8-9f82-eba74a61dbde", "image_1": "Perception/paired/247de509-9858-43d8-9f82-eba74a61dbde_0.png", "image_2": "Perception/paired/247de509-9858-43d8-9f82-eba74a61dbde_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "1c7057b2-2925-4cdf-a8b1-1c5dcc575bd9", "image_1": "Perception/paired/1c7057b2-2925-4cdf-a8b1-1c5dcc575bd9_0.png", "image_2": "Perception/paired/1c7057b2-2925-4cdf-a8b1-1c5dcc575bd9_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "5c8102df-01ae-47d2-89d7-a31f7003ab15", "image_1": "Perception/paired/5c8102df-01ae-47d2-89d7-a31f7003ab15_0.png", "image_2": "Perception/paired/5c8102df-01ae-47d2-89d7-a31f7003ab15_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "9df28fba-8fbf-46e9-9625-5e695997f522", "image_1": "Perception/paired/9df28fba-8fbf-46e9-9625-5e695997f522_0.png", "image_2": "Perception/paired/9df28fba-8fbf-46e9-9625-5e695997f522_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "978736b6-7536-4865-ac47-02519373b2de", "image_1": "Perception/paired/978736b6-7536-4865-ac47-02519373b2de_0.png", "image_2": "Perception/paired/978736b6-7536-4865-ac47-02519373b2de_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "b0b3d21b-9fdb-4ad5-826d-d190e6dad914", "image_1": "Perception/paired/b0b3d21b-9fdb-4ad5-826d-d190e6dad914_0.png", "image_2": "Perception/paired/b0b3d21b-9fdb-4ad5-826d-d190e6dad914_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "5ccbb178-8856-474b-90f8-d0e5c8720ffb", "image_1": "Perception/paired/5ccbb178-8856-474b-90f8-d0e5c8720ffb_0.png", "image_2": "Perception/paired/5ccbb178-8856-474b-90f8-d0e5c8720ffb_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "c8503141-bc6f-4e22-8262-8dd78473373e", "image_1": "Perception/paired/c8503141-bc6f-4e22-8262-8dd78473373e_0.png", "image_2": "Perception/paired/c8503141-bc6f-4e22-8262-8dd78473373e_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "cb38a173-f3a7-44f0-bdf1-7116e2c00747", "image_1": "Perception/paired/cb38a173-f3a7-44f0-bdf1-7116e2c00747_0.png", "image_2": "Perception/paired/cb38a173-f3a7-44f0-bdf1-7116e2c00747_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "ade0ab9e-f2fe-4a7e-96c8-b76f2f155ac4", "image_1": "Perception/paired/ade0ab9e-f2fe-4a7e-96c8-b76f2f155ac4_0.png", "image_2": "Perception/paired/ade0ab9e-f2fe-4a7e-96c8-b76f2f155ac4_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "8a78d46b-f17f-40c3-9e00-e7cee79ef7e6", "image_1": "Perception/paired/8a78d46b-f17f-40c3-9e00-e7cee79ef7e6_0.png", "image_2": "Perception/paired/8a78d46b-f17f-40c3-9e00-e7cee79ef7e6_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "b542de38-76c7-4965-8b1f-83ef53b89948", "image_1": "Perception/paired/b542de38-76c7-4965-8b1f-83ef53b89948_0.png", "image_2": "Perception/paired/b542de38-76c7-4965-8b1f-83ef53b89948_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "37c1c0bc-1814-442f-97ae-4dcc775ccd9e", "image_1": "Perception/paired/37c1c0bc-1814-442f-97ae-4dcc775ccd9e_0.png", "image_2": "Perception/paired/37c1c0bc-1814-442f-97ae-4dcc775ccd9e_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "559b9984-5eaf-4361-bf9e-9759d48bb47e", "image_1": "Perception/paired/559b9984-5eaf-4361-bf9e-9759d48bb47e_0.png", "image_2": "Perception/paired/559b9984-5eaf-4361-bf9e-9759d48bb47e_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "157a440d-c7fc-4ecb-aaff-b4a5e2981e0d", "image_1": "Perception/paired/157a440d-c7fc-4ecb-aaff-b4a5e2981e0d_0.png", "image_2": "Perception/paired/157a440d-c7fc-4ecb-aaff-b4a5e2981e0d_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "ce4763ef-3501-4f92-a080-3b0654f9e78c", "image_1": "Perception/paired/ce4763ef-3501-4f92-a080-3b0654f9e78c_0.png", "image_2": "Perception/paired/ce4763ef-3501-4f92-a080-3b0654f9e78c_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "a0ce2fff-1607-4ef2-b74b-b3415cbf279b", "image_1": "Perception/paired/a0ce2fff-1607-4ef2-b74b-b3415cbf279b_0.png", "image_2": "Perception/paired/a0ce2fff-1607-4ef2-b74b-b3415cbf279b_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e67adf7e-058d-4dcd-8513-f22e623de1c8", "image_1": "Perception/paired/e67adf7e-058d-4dcd-8513-f22e623de1c8_0.png", "image_2": "Perception/paired/e67adf7e-058d-4dcd-8513-f22e623de1c8_1.png", "question": "Considering Image 1 as ground truth, what is the distortion severity rating for Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "4557f49f-8289-4362-bfaa-01d54750ef77", "image_1": "Perception/paired/4557f49f-8289-4362-bfaa-01d54750ef77_0.png", "image_2": "Perception/paired/4557f49f-8289-4362-bfaa-01d54750ef77_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "38c4c3c5-22e9-4d4b-8c23-ba0c65e659f7", "image_1": "Perception/paired/38c4c3c5-22e9-4d4b-8c23-ba0c65e659f7_0.png", "image_2": "Perception/paired/38c4c3c5-22e9-4d4b-8c23-ba0c65e659f7_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "7267e168-9d74-4e75-b397-7d2ad3787348", "image_1": "Perception/paired/7267e168-9d74-4e75-b397-7d2ad3787348_0.png", "image_2": "Perception/paired/7267e168-9d74-4e75-b397-7d2ad3787348_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "f119afd9-6f80-4a3a-b406-ca3594fd50bd", "image_1": "Perception/paired/f119afd9-6f80-4a3a-b406-ca3594fd50bd_0.png", "image_2": "Perception/paired/f119afd9-6f80-4a3a-b406-ca3594fd50bd_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "2db1db8f-fca1-4b7b-9a49-5519efff4300", "image_1": "Perception/paired/2db1db8f-fca1-4b7b-9a49-5519efff4300_0.png", "image_2": "Perception/paired/2db1db8f-fca1-4b7b-9a49-5519efff4300_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "0a0b679f-87f4-41a1-8315-ad8015a3fb21", "image_1": "Perception/paired/0a0b679f-87f4-41a1-8315-ad8015a3fb21_0.png", "image_2": "Perception/paired/0a0b679f-87f4-41a1-8315-ad8015a3fb21_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "cc3b1bed-2c55-440d-b718-7e32d413cb78", "image_1": "Perception/paired/cc3b1bed-2c55-440d-b718-7e32d413cb78_0.png", "image_2": "Perception/paired/cc3b1bed-2c55-440d-b718-7e32d413cb78_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "cb6756c1-611a-4593-8a3f-2205aaaee39f", "image_1": "Perception/paired/cb6756c1-611a-4593-8a3f-2205aaaee39f_0.png", "image_2": "Perception/paired/cb6756c1-611a-4593-8a3f-2205aaaee39f_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "edd75b62-d965-440a-afba-dbc6c846a6d4", "image_1": "Perception/paired/edd75b62-d965-440a-afba-dbc6c846a6d4_0.png", "image_2": "Perception/paired/edd75b62-d965-440a-afba-dbc6c846a6d4_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "84323eb4-ea49-455e-8bdc-792abfe5cf82", "image_1": "Perception/paired/84323eb4-ea49-455e-8bdc-792abfe5cf82_0.png", "image_2": "Perception/paired/84323eb4-ea49-455e-8bdc-792abfe5cf82_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "a5a918a7-765e-4678-b7e6-8dd2fc868637", "image_1": "Perception/paired/a5a918a7-765e-4678-b7e6-8dd2fc868637_0.png", "image_2": "Perception/paired/a5a918a7-765e-4678-b7e6-8dd2fc868637_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "342238ba-6c0c-4ff9-8178-6798652dc1d9", "image_1": "Perception/paired/342238ba-6c0c-4ff9-8178-6798652dc1d9_0.png", "image_2": "Perception/paired/342238ba-6c0c-4ff9-8178-6798652dc1d9_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "f36a4941-44d2-467e-ba9b-ac3cb4e75e1f", "image_1": "Perception/paired/f36a4941-44d2-467e-ba9b-ac3cb4e75e1f_0.png", "image_2": "Perception/paired/f36a4941-44d2-467e-ba9b-ac3cb4e75e1f_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "4877ef1f-c150-4032-941f-4c3a50a1c5ab", "image_1": "Perception/paired/4877ef1f-c150-4032-941f-4c3a50a1c5ab_0.png", "image_2": "Perception/paired/4877ef1f-c150-4032-941f-4c3a50a1c5ab_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "3717f96b-8ca1-437c-bedd-3ae06cc79958", "image_1": "Perception/paired/3717f96b-8ca1-437c-bedd-3ae06cc79958_0.png", "image_2": "Perception/paired/3717f96b-8ca1-437c-bedd-3ae06cc79958_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "c38d3ce0-ec87-413b-9610-9ee805254688", "image_1": "Perception/paired/c38d3ce0-ec87-413b-9610-9ee805254688_0.png", "image_2": "Perception/paired/c38d3ce0-ec87-413b-9610-9ee805254688_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "94ecb610-5a18-45ff-a02c-7859737d6230", "image_1": "Perception/paired/94ecb610-5a18-45ff-a02c-7859737d6230_0.png", "image_2": "Perception/paired/94ecb610-5a18-45ff-a02c-7859737d6230_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "c9345fc5-82b2-436b-b2b6-93f2fedf79f2", "image_1": "Perception/paired/c9345fc5-82b2-436b-b2b6-93f2fedf79f2_0.png", "image_2": "Perception/paired/c9345fc5-82b2-436b-b2b6-93f2fedf79f2_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "d2250954-4a75-4788-a892-ab34d8b89edf", "image_1": "Perception/paired/d2250954-4a75-4788-a892-ab34d8b89edf_0.png", "image_2": "Perception/paired/d2250954-4a75-4788-a892-ab34d8b89edf_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "e6660116-ac25-4d15-ab2f-625f3ae1938c", "image_1": "Perception/paired/e6660116-ac25-4d15-ab2f-625f3ae1938c_0.png", "image_2": "Perception/paired/e6660116-ac25-4d15-ab2f-625f3ae1938c_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "d8e7f7ce-04dd-4d7c-a378-337af33a7b1f", "image_1": "Perception/paired/d8e7f7ce-04dd-4d7c-a378-337af33a7b1f_0.png", "image_2": "Perception/paired/d8e7f7ce-04dd-4d7c-a378-337af33a7b1f_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "529ba818-25b1-4694-ac8c-0b07f4aa56e7", "image_1": "Perception/paired/529ba818-25b1-4694-ac8c-0b07f4aa56e7_0.png", "image_2": "Perception/paired/529ba818-25b1-4694-ac8c-0b07f4aa56e7_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "86d49951-c8d6-4ece-8255-6bd379f6f248", "image_1": "Perception/paired/86d49951-c8d6-4ece-8255-6bd379f6f248_0.png", "image_2": "Perception/paired/86d49951-c8d6-4ece-8255-6bd379f6f248_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "9582002a-0606-4d38-a6c5-b2b8b792a7f2", "image_1": "Perception/paired/9582002a-0606-4d38-a6c5-b2b8b792a7f2_0.png", "image_2": "Perception/paired/9582002a-0606-4d38-a6c5-b2b8b792a7f2_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "41923b4b-2bd9-40d7-a714-0c97f428e65a", "image_1": "Perception/paired/41923b4b-2bd9-40d7-a714-0c97f428e65a_0.png", "image_2": "Perception/paired/41923b4b-2bd9-40d7-a714-0c97f428e65a_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "eb44c970-c473-4255-9407-eed4a1313527", "image_1": "Perception/paired/eb44c970-c473-4255-9407-eed4a1313527_0.png", "image_2": "Perception/paired/eb44c970-c473-4255-9407-eed4a1313527_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "f8d42c09-30bb-4a87-95fc-ed774fdc280b", "image_1": "Perception/paired/f8d42c09-30bb-4a87-95fc-ed774fdc280b_0.png", "image_2": "Perception/paired/f8d42c09-30bb-4a87-95fc-ed774fdc280b_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "46004afc-47cf-4578-a99a-22f65bcf362e", "image_1": "Perception/paired/46004afc-47cf-4578-a99a-22f65bcf362e_0.png", "image_2": "Perception/paired/46004afc-47cf-4578-a99a-22f65bcf362e_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e2b05b9e-0530-4d80-a891-e54360a47ea3", "image_1": "Perception/paired/e2b05b9e-0530-4d80-a891-e54360a47ea3_0.png", "image_2": "Perception/paired/e2b05b9e-0530-4d80-a891-e54360a47ea3_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "083a9303-9c75-4add-94f7-1e355ddda964", "image_1": "Perception/paired/083a9303-9c75-4add-94f7-1e355ddda964_0.png", "image_2": "Perception/paired/083a9303-9c75-4add-94f7-1e355ddda964_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "0df1ee23-cad9-46e5-b3cb-831abfbca1b5", "image_1": "Perception/paired/0df1ee23-cad9-46e5-b3cb-831abfbca1b5_0.png", "image_2": "Perception/paired/0df1ee23-cad9-46e5-b3cb-831abfbca1b5_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "63641d75-a24a-4281-ba29-28fdb6818f4f", "image_1": "Perception/paired/63641d75-a24a-4281-ba29-28fdb6818f4f_0.png", "image_2": "Perception/paired/63641d75-a24a-4281-ba29-28fdb6818f4f_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "8db878c8-3481-4fa1-b18c-2d4763cf1cd2", "image_1": "Perception/paired/8db878c8-3481-4fa1-b18c-2d4763cf1cd2_0.png", "image_2": "Perception/paired/8db878c8-3481-4fa1-b18c-2d4763cf1cd2_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "0619f251-a13a-4598-b244-28de5441feb5", "image_1": "Perception/paired/0619f251-a13a-4598-b244-28de5441feb5_0.png", "image_2": "Perception/paired/0619f251-a13a-4598-b244-28de5441feb5_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "1dd10fca-6ff7-4ab7-be41-3c08400cc6be", "image_1": "Perception/paired/1dd10fca-6ff7-4ab7-be41-3c08400cc6be_0.png", "image_2": "Perception/paired/1dd10fca-6ff7-4ab7-be41-3c08400cc6be_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "c9ea3e39-a25d-4bfc-b664-9b912b13d157", "image_1": "Perception/paired/c9ea3e39-a25d-4bfc-b664-9b912b13d157_0.png", "image_2": "Perception/paired/c9ea3e39-a25d-4bfc-b664-9b912b13d157_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "766668a1-2180-4b5b-9dcc-3776cb8480a3", "image_1": "Perception/paired/766668a1-2180-4b5b-9dcc-3776cb8480a3_0.png", "image_2": "Perception/paired/766668a1-2180-4b5b-9dcc-3776cb8480a3_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "c691e75c-8941-47d6-8d35-1b7df13b329b", "image_1": "Perception/paired/c691e75c-8941-47d6-8d35-1b7df13b329b_0.png", "image_2": "Perception/paired/c691e75c-8941-47d6-8d35-1b7df13b329b_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "71c9ac9f-6f6b-46c3-bfc0-4b543bff550d", "image_1": "Perception/paired/71c9ac9f-6f6b-46c3-bfc0-4b543bff550d_0.png", "image_2": "Perception/paired/71c9ac9f-6f6b-46c3-bfc0-4b543bff550d_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a060949d-e735-488d-9a01-42ed2f9928a9", "image_1": "Perception/paired/a060949d-e735-488d-9a01-42ed2f9928a9_0.png", "image_2": "Perception/paired/a060949d-e735-488d-9a01-42ed2f9928a9_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "6197a3eb-4db6-4cca-a281-d0514dc8acc4", "image_1": "Perception/paired/6197a3eb-4db6-4cca-a281-d0514dc8acc4_0.png", "image_2": "Perception/paired/6197a3eb-4db6-4cca-a281-d0514dc8acc4_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "f6e7b862-ab4e-49d0-91b5-90c8ce1b512d", "image_1": "Perception/paired/f6e7b862-ab4e-49d0-91b5-90c8ce1b512d_0.png", "image_2": "Perception/paired/f6e7b862-ab4e-49d0-91b5-90c8ce1b512d_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a29d658c-f9b3-40f5-8a91-15363618c7d8", "image_1": "Perception/paired/a29d658c-f9b3-40f5-8a91-15363618c7d8_0.png", "image_2": "Perception/paired/a29d658c-f9b3-40f5-8a91-15363618c7d8_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "415ac04c-16d7-4e42-95a8-bed325e971c8", "image_1": "Perception/paired/415ac04c-16d7-4e42-95a8-bed325e971c8_0.png", "image_2": "Perception/paired/415ac04c-16d7-4e42-95a8-bed325e971c8_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "42c51a6f-e33c-476e-9cfe-8a38b60f277a", "image_1": "Perception/paired/42c51a6f-e33c-476e-9cfe-8a38b60f277a_0.png", "image_2": "Perception/paired/42c51a6f-e33c-476e-9cfe-8a38b60f277a_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "22b3e16f-beaf-4bda-b9e2-ef0d41b24947", "image_1": "Perception/paired/22b3e16f-beaf-4bda-b9e2-ef0d41b24947_0.png", "image_2": "Perception/paired/22b3e16f-beaf-4bda-b9e2-ef0d41b24947_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "52e9a5a9-99b8-4061-b1a1-e0d1e0f3daeb", "image_1": "Perception/paired/52e9a5a9-99b8-4061-b1a1-e0d1e0f3daeb_0.png", "image_2": "Perception/paired/52e9a5a9-99b8-4061-b1a1-e0d1e0f3daeb_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "8e956e19-de91-4caf-88b0-17520bb2d218", "image_1": "Perception/paired/8e956e19-de91-4caf-88b0-17520bb2d218_0.png", "image_2": "Perception/paired/8e956e19-de91-4caf-88b0-17520bb2d218_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "2d98e23c-261a-4796-9d63-382b2488a9c7", "image_1": "Perception/paired/2d98e23c-261a-4796-9d63-382b2488a9c7_0.png", "image_2": "Perception/paired/2d98e23c-261a-4796-9d63-382b2488a9c7_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "1ccaa36e-eb5f-4cf1-9ad1-63e81243c0f3", "image_1": "Perception/paired/1ccaa36e-eb5f-4cf1-9ad1-63e81243c0f3_0.png", "image_2": "Perception/paired/1ccaa36e-eb5f-4cf1-9ad1-63e81243c0f3_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "b96c3dba-82bc-484d-bc08-6188fe306b86", "image_1": "Perception/paired/b96c3dba-82bc-484d-bc08-6188fe306b86_0.png", "image_2": "Perception/paired/b96c3dba-82bc-484d-bc08-6188fe306b86_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "99e79b94-442c-4dc8-8039-2b7219c33d3b", "image_1": "Perception/paired/99e79b94-442c-4dc8-8039-2b7219c33d3b_0.png", "image_2": "Perception/paired/99e79b94-442c-4dc8-8039-2b7219c33d3b_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "b5566e06-e3ad-4aa4-9d9b-5c9eafa731f8", "image_1": "Perception/paired/b5566e06-e3ad-4aa4-9d9b-5c9eafa731f8_0.png", "image_2": "Perception/paired/b5566e06-e3ad-4aa4-9d9b-5c9eafa731f8_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "b8a7ccb8-7d7c-46b2-93c1-259676046073", "image_1": "Perception/paired/b8a7ccb8-7d7c-46b2-93c1-259676046073_0.png", "image_2": "Perception/paired/b8a7ccb8-7d7c-46b2-93c1-259676046073_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "f6490ff8-c025-4556-92c9-c937a413cc10", "image_1": "Perception/paired/f6490ff8-c025-4556-92c9-c937a413cc10_0.png", "image_2": "Perception/paired/f6490ff8-c025-4556-92c9-c937a413cc10_1.png", "question": "Considering Image 1 as ground truth, what is the distortion severity rating for Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "9ae996ed-6dbe-4f50-acc7-45ff6c36bfac", "image_1": "Perception/paired/9ae996ed-6dbe-4f50-acc7-45ff6c36bfac_0.png", "image_2": "Perception/paired/9ae996ed-6dbe-4f50-acc7-45ff6c36bfac_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "489b9971-da72-4ece-84ab-948611b082f9", "image_1": "Perception/paired/489b9971-da72-4ece-84ab-948611b082f9_0.png", "image_2": "Perception/paired/489b9971-da72-4ece-84ab-948611b082f9_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "3bae9c3b-1de7-418b-b601-374dc9093554", "image_1": "Perception/paired/3bae9c3b-1de7-418b-b601-374dc9093554_0.png", "image_2": "Perception/paired/3bae9c3b-1de7-418b-b601-374dc9093554_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "dcc2825d-2966-4946-80a2-d7a40344f25d", "image_1": "Perception/paired/dcc2825d-2966-4946-80a2-d7a40344f25d_0.png", "image_2": "Perception/paired/dcc2825d-2966-4946-80a2-d7a40344f25d_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "9abb528e-2d94-4a57-aae7-000ee62244b0", "image_1": "Perception/paired/9abb528e-2d94-4a57-aae7-000ee62244b0_0.png", "image_2": "Perception/paired/9abb528e-2d94-4a57-aae7-000ee62244b0_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "258182b7-3d41-455c-9e71-2adfdfd460a8", "image_1": "Perception/paired/258182b7-3d41-455c-9e71-2adfdfd460a8_0.png", "image_2": "Perception/paired/258182b7-3d41-455c-9e71-2adfdfd460a8_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "6738b3d6-4e92-40c0-acdb-81e446ad9a8f", "image_1": "Perception/paired/6738b3d6-4e92-40c0-acdb-81e446ad9a8f_0.png", "image_2": "Perception/paired/6738b3d6-4e92-40c0-acdb-81e446ad9a8f_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "59633c28-06d8-4437-a689-8f1557b91225", "image_1": "Perception/paired/59633c28-06d8-4437-a689-8f1557b91225_0.png", "image_2": "Perception/paired/59633c28-06d8-4437-a689-8f1557b91225_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "1d4eb1c6-ea04-44b1-99a9-d8c817745a6c", "image_1": "Perception/paired/1d4eb1c6-ea04-44b1-99a9-d8c817745a6c_0.png", "image_2": "Perception/paired/1d4eb1c6-ea04-44b1-99a9-d8c817745a6c_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "41a6b89e-015d-4ff7-9f23-ee9d55bf1af9", "image_1": "Perception/paired/41a6b89e-015d-4ff7-9f23-ee9d55bf1af9_0.png", "image_2": "Perception/paired/41a6b89e-015d-4ff7-9f23-ee9d55bf1af9_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "66c5c533-82bb-4aed-a1db-741b84f98c24", "image_1": "Perception/paired/66c5c533-82bb-4aed-a1db-741b84f98c24_0.png", "image_2": "Perception/paired/66c5c533-82bb-4aed-a1db-741b84f98c24_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "e13859c0-1be6-40e5-8713-4b2a19b5c1a8", "image_1": "Perception/paired/e13859c0-1be6-40e5-8713-4b2a19b5c1a8_0.png", "image_2": "Perception/paired/e13859c0-1be6-40e5-8713-4b2a19b5c1a8_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "0ff00ae5-6ac4-44b6-948d-7ba584a1f103", "image_1": "Perception/paired/0ff00ae5-6ac4-44b6-948d-7ba584a1f103_0.png", "image_2": "Perception/paired/0ff00ae5-6ac4-44b6-948d-7ba584a1f103_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "6a25014a-da08-4632-84e8-0b53fbcf62eb", "image_1": "Perception/paired/6a25014a-da08-4632-84e8-0b53fbcf62eb_0.png", "image_2": "Perception/paired/6a25014a-da08-4632-84e8-0b53fbcf62eb_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "c22d5837-ae12-47d9-bbe1-b2f9f97b2649", "image_1": "Perception/paired/c22d5837-ae12-47d9-bbe1-b2f9f97b2649_0.png", "image_2": "Perception/paired/c22d5837-ae12-47d9-bbe1-b2f9f97b2649_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "fd1b4012-a5c0-462b-967d-e15895e5e2dc", "image_1": "Perception/paired/fd1b4012-a5c0-462b-967d-e15895e5e2dc_0.png", "image_2": "Perception/paired/fd1b4012-a5c0-462b-967d-e15895e5e2dc_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "8bb8c92e-70f5-4a05-b604-3c67b8f07cf8", "image_1": "Perception/paired/8bb8c92e-70f5-4a05-b604-3c67b8f07cf8_0.png", "image_2": "Perception/paired/8bb8c92e-70f5-4a05-b604-3c67b8f07cf8_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "1551d80e-6033-4fa6-aef9-04c7a49309b7", "image_1": "Perception/paired/1551d80e-6033-4fa6-aef9-04c7a49309b7_0.png", "image_2": "Perception/paired/1551d80e-6033-4fa6-aef9-04c7a49309b7_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "d37c0e5b-25b0-40a8-a89a-23c6f39d6561", "image_1": "Perception/paired/d37c0e5b-25b0-40a8-a89a-23c6f39d6561_0.png", "image_2": "Perception/paired/d37c0e5b-25b0-40a8-a89a-23c6f39d6561_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "e524a1d5-bf5f-4c58-bf52-6ce52c6c3c77", "image_1": "Perception/paired/e524a1d5-bf5f-4c58-bf52-6ce52c6c3c77_0.png", "image_2": "Perception/paired/e524a1d5-bf5f-4c58-bf52-6ce52c6c3c77_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "9693a88d-2db6-4efd-98de-407bf17bbb5a", "image_1": "Perception/paired/9693a88d-2db6-4efd-98de-407bf17bbb5a_0.png", "image_2": "Perception/paired/9693a88d-2db6-4efd-98de-407bf17bbb5a_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "f9562dcf-176c-490a-9d84-78e2a8abac34", "image_1": "Perception/paired/f9562dcf-176c-490a-9d84-78e2a8abac34_0.png", "image_2": "Perception/paired/f9562dcf-176c-490a-9d84-78e2a8abac34_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "150459d0-8218-4dfb-abbd-2181839d4ccc", "image_1": "Perception/paired/150459d0-8218-4dfb-abbd-2181839d4ccc_0.png", "image_2": "Perception/paired/150459d0-8218-4dfb-abbd-2181839d4ccc_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "6ceed795-6c64-428f-855d-9d2786b84a1b", "image_1": "Perception/paired/6ceed795-6c64-428f-855d-9d2786b84a1b_0.png", "image_2": "Perception/paired/6ceed795-6c64-428f-855d-9d2786b84a1b_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "ff8414c7-f084-4bff-9b18-06ed819dd6b0", "image_1": "Perception/paired/ff8414c7-f084-4bff-9b18-06ed819dd6b0_0.png", "image_2": "Perception/paired/ff8414c7-f084-4bff-9b18-06ed819dd6b0_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "4eae9c5e-f71b-461c-a796-a10b4f3a8efa", "image_1": "Perception/paired/4eae9c5e-f71b-461c-a796-a10b4f3a8efa_0.png", "image_2": "Perception/paired/4eae9c5e-f71b-461c-a796-a10b4f3a8efa_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "9fe8e8b8-4297-40e0-a376-47075dcec1f4", "image_1": "Perception/paired/9fe8e8b8-4297-40e0-a376-47075dcec1f4_0.png", "image_2": "Perception/paired/9fe8e8b8-4297-40e0-a376-47075dcec1f4_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "024bad8a-7fa4-4095-a706-7151592a07ff", "image_1": "Perception/paired/024bad8a-7fa4-4095-a706-7151592a07ff_0.png", "image_2": "Perception/paired/024bad8a-7fa4-4095-a706-7151592a07ff_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "9e8a80a6-1082-419f-b778-14a75dbc9b3e", "image_1": "Perception/paired/9e8a80a6-1082-419f-b778-14a75dbc9b3e_0.png", "image_2": "Perception/paired/9e8a80a6-1082-419f-b778-14a75dbc9b3e_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "4c3556cd-aac0-4fd0-baab-e72cfed44736", "image_1": "Perception/paired/4c3556cd-aac0-4fd0-baab-e72cfed44736_0.png", "image_2": "Perception/paired/4c3556cd-aac0-4fd0-baab-e72cfed44736_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "0493e8fc-ab5f-4dbb-8d44-19ae85ee91a5", "image_1": "Perception/paired/0493e8fc-ab5f-4dbb-8d44-19ae85ee91a5_0.png", "image_2": "Perception/paired/0493e8fc-ab5f-4dbb-8d44-19ae85ee91a5_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "eb27889f-0c96-42ab-a1fe-3910cd8c6837", "image_1": "Perception/paired/eb27889f-0c96-42ab-a1fe-3910cd8c6837_0.png", "image_2": "Perception/paired/eb27889f-0c96-42ab-a1fe-3910cd8c6837_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "f5d80a4f-4446-4563-a7a0-eb325d060e6d", "image_1": "Perception/paired/f5d80a4f-4446-4563-a7a0-eb325d060e6d_0.png", "image_2": "Perception/paired/f5d80a4f-4446-4563-a7a0-eb325d060e6d_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "86119e42-dd99-4c4b-bfec-2cb7432c1cd3", "image_1": "Perception/paired/86119e42-dd99-4c4b-bfec-2cb7432c1cd3_0.png", "image_2": "Perception/paired/86119e42-dd99-4c4b-bfec-2cb7432c1cd3_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "373a6621-1c22-433c-92f7-241252e0ad38", "image_1": "Perception/paired/373a6621-1c22-433c-92f7-241252e0ad38_0.png", "image_2": "Perception/paired/373a6621-1c22-433c-92f7-241252e0ad38_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "e519bb4f-04aa-4be2-9af2-046271205f9c", "image_1": "Perception/paired/e519bb4f-04aa-4be2-9af2-046271205f9c_0.png", "image_2": "Perception/paired/e519bb4f-04aa-4be2-9af2-046271205f9c_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "43e0bf91-582b-493e-aa58-cf3fa322517f", "image_1": "Perception/paired/43e0bf91-582b-493e-aa58-cf3fa322517f_0.png", "image_2": "Perception/paired/43e0bf91-582b-493e-aa58-cf3fa322517f_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "c28b14a9-552e-4377-9537-8001c3e25ee8", "image_1": "Perception/paired/c28b14a9-552e-4377-9537-8001c3e25ee8_0.png", "image_2": "Perception/paired/c28b14a9-552e-4377-9537-8001c3e25ee8_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "62775817-55e4-424e-b38a-6ba17f85afa9", "image_1": "Perception/paired/62775817-55e4-424e-b38a-6ba17f85afa9_0.png", "image_2": "Perception/paired/62775817-55e4-424e-b38a-6ba17f85afa9_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "64c4a872-72ac-41f2-bbe6-162eb14df54c", "image_1": "Perception/paired/64c4a872-72ac-41f2-bbe6-162eb14df54c_0.png", "image_2": "Perception/paired/64c4a872-72ac-41f2-bbe6-162eb14df54c_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "4fd4d72c-04ce-4d3b-8890-08b41733b755", "image_1": "Perception/paired/4fd4d72c-04ce-4d3b-8890-08b41733b755_0.png", "image_2": "Perception/paired/4fd4d72c-04ce-4d3b-8890-08b41733b755_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "085d9812-f962-4805-a867-5bac2d3d46ba", "image_1": "Perception/paired/085d9812-f962-4805-a867-5bac2d3d46ba_0.png", "image_2": "Perception/paired/085d9812-f962-4805-a867-5bac2d3d46ba_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "e7cb589c-3a5a-451e-b799-37773ffd922a", "image_1": "Perception/paired/e7cb589c-3a5a-451e-b799-37773ffd922a_0.png", "image_2": "Perception/paired/e7cb589c-3a5a-451e-b799-37773ffd922a_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "040549c8-f345-4e49-8e4d-d3cbe66fb6e1", "image_1": "Perception/paired/040549c8-f345-4e49-8e4d-d3cbe66fb6e1_0.png", "image_2": "Perception/paired/040549c8-f345-4e49-8e4d-d3cbe66fb6e1_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "00c8b70f-574a-4cd4-927f-a2c3d767c16e", "image_1": "Perception/paired/00c8b70f-574a-4cd4-927f-a2c3d767c16e_0.png", "image_2": "Perception/paired/00c8b70f-574a-4cd4-927f-a2c3d767c16e_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "137de350-8e5c-4b1c-b68f-087659a90063", "image_1": "Perception/paired/137de350-8e5c-4b1c-b68f-087659a90063_0.png", "image_2": "Perception/paired/137de350-8e5c-4b1c-b68f-087659a90063_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "5a1ae16b-1ff2-435e-b42d-3ecc8d2c975e", "image_1": "Perception/paired/5a1ae16b-1ff2-435e-b42d-3ecc8d2c975e_0.png", "image_2": "Perception/paired/5a1ae16b-1ff2-435e-b42d-3ecc8d2c975e_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "41901548-528f-49a5-95d7-f9146a57f20f", "image_1": "Perception/paired/41901548-528f-49a5-95d7-f9146a57f20f_0.png", "image_2": "Perception/paired/41901548-528f-49a5-95d7-f9146a57f20f_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "775682c9-d59d-42b8-89f5-3ab11f9e0890", "image_1": "Perception/paired/775682c9-d59d-42b8-89f5-3ab11f9e0890_0.png", "image_2": "Perception/paired/775682c9-d59d-42b8-89f5-3ab11f9e0890_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "1b373efd-d87b-4c71-8f7e-a5b2474dbb79", "image_1": "Perception/paired/1b373efd-d87b-4c71-8f7e-a5b2474dbb79_0.png", "image_2": "Perception/paired/1b373efd-d87b-4c71-8f7e-a5b2474dbb79_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a7731378-ea58-43fa-844d-ddb75d7af28c", "image_1": "Perception/paired/a7731378-ea58-43fa-844d-ddb75d7af28c_0.png", "image_2": "Perception/paired/a7731378-ea58-43fa-844d-ddb75d7af28c_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "34f83611-2d01-4630-81ec-eca1edfc9750", "image_1": "Perception/paired/34f83611-2d01-4630-81ec-eca1edfc9750_0.png", "image_2": "Perception/paired/34f83611-2d01-4630-81ec-eca1edfc9750_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "5eb6849a-2eeb-47db-9cf1-232b65bb63cd", "image_1": "Perception/paired/5eb6849a-2eeb-47db-9cf1-232b65bb63cd_0.png", "image_2": "Perception/paired/5eb6849a-2eeb-47db-9cf1-232b65bb63cd_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "63e2fa72-6358-4302-8a4e-cca8e7120495", "image_1": "Perception/paired/63e2fa72-6358-4302-8a4e-cca8e7120495_0.png", "image_2": "Perception/paired/63e2fa72-6358-4302-8a4e-cca8e7120495_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "c14bc404-28c2-48d0-b937-65daee5dcc35", "image_1": "Perception/paired/c14bc404-28c2-48d0-b937-65daee5dcc35_0.png", "image_2": "Perception/paired/c14bc404-28c2-48d0-b937-65daee5dcc35_1.png", "question": "Considering Image 1 as ground truth, what is the distortion severity rating for Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "2c843f20-0a5e-4f6f-b7f9-a1ee3b8c820e", "image_1": "Perception/paired/2c843f20-0a5e-4f6f-b7f9-a1ee3b8c820e_0.png", "image_2": "Perception/paired/2c843f20-0a5e-4f6f-b7f9-a1ee3b8c820e_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "e512838a-a89d-4fec-87ce-eda462dc5dce", "image_1": "Perception/paired/e512838a-a89d-4fec-87ce-eda462dc5dce_0.png", "image_2": "Perception/paired/e512838a-a89d-4fec-87ce-eda462dc5dce_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "853628ca-b49b-4b36-9104-7d3c784048d9", "image_1": "Perception/paired/853628ca-b49b-4b36-9104-7d3c784048d9_0.png", "image_2": "Perception/paired/853628ca-b49b-4b36-9104-7d3c784048d9_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "c906d421-534a-49eb-89d2-06a304bd56e9", "image_1": "Perception/paired/c906d421-534a-49eb-89d2-06a304bd56e9_0.png", "image_2": "Perception/paired/c906d421-534a-49eb-89d2-06a304bd56e9_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "5eda0e72-4102-4d44-a363-0fd663e974a7", "image_1": "Perception/paired/5eda0e72-4102-4d44-a363-0fd663e974a7_0.png", "image_2": "Perception/paired/5eda0e72-4102-4d44-a363-0fd663e974a7_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "f07fe209-14fb-4716-a447-af71807a1089", "image_1": "Perception/paired/f07fe209-14fb-4716-a447-af71807a1089_0.png", "image_2": "Perception/paired/f07fe209-14fb-4716-a447-af71807a1089_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "7c2cf86a-7385-443a-9278-eca9e42ca195", "image_1": "Perception/paired/7c2cf86a-7385-443a-9278-eca9e42ca195_0.png", "image_2": "Perception/paired/7c2cf86a-7385-443a-9278-eca9e42ca195_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "985171c8-57c8-4e18-b072-260ec85caacb", "image_1": "Perception/paired/985171c8-57c8-4e18-b072-260ec85caacb_0.png", "image_2": "Perception/paired/985171c8-57c8-4e18-b072-260ec85caacb_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "f09d57ac-066d-4021-9d03-48df145e73c6", "image_1": "Perception/paired/f09d57ac-066d-4021-9d03-48df145e73c6_0.png", "image_2": "Perception/paired/f09d57ac-066d-4021-9d03-48df145e73c6_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "d52432d2-98d9-4f04-9dd9-499434fa03e0", "image_1": "Perception/paired/d52432d2-98d9-4f04-9dd9-499434fa03e0_0.png", "image_2": "Perception/paired/d52432d2-98d9-4f04-9dd9-499434fa03e0_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "8cc5cd15-eb60-42bf-a35c-86847e400246", "image_1": "Perception/paired/8cc5cd15-eb60-42bf-a35c-86847e400246_0.png", "image_2": "Perception/paired/8cc5cd15-eb60-42bf-a35c-86847e400246_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "33c2cc5c-0463-4d42-8d27-b649d6dcd7d1", "image_1": "Perception/paired/33c2cc5c-0463-4d42-8d27-b649d6dcd7d1_0.png", "image_2": "Perception/paired/33c2cc5c-0463-4d42-8d27-b649d6dcd7d1_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "299646de-26f1-4103-8665-f08afa3ea5b0", "image_1": "Perception/paired/299646de-26f1-4103-8665-f08afa3ea5b0_0.png", "image_2": "Perception/paired/299646de-26f1-4103-8665-f08afa3ea5b0_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "265272cf-5421-4f3f-8d92-cc454a1f3cb8", "image_1": "Perception/paired/265272cf-5421-4f3f-8d92-cc454a1f3cb8_0.png", "image_2": "Perception/paired/265272cf-5421-4f3f-8d92-cc454a1f3cb8_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "98253607-54ff-4e5a-81fc-4704e835e441", "image_1": "Perception/paired/98253607-54ff-4e5a-81fc-4704e835e441_0.png", "image_2": "Perception/paired/98253607-54ff-4e5a-81fc-4704e835e441_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "98f7ff70-e193-4847-a5e2-b6138bf73ec2", "image_1": "Perception/paired/98f7ff70-e193-4847-a5e2-b6138bf73ec2_0.png", "image_2": "Perception/paired/98f7ff70-e193-4847-a5e2-b6138bf73ec2_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "9fa226be-09ac-40b2-9679-7a96b1df62eb", "image_1": "Perception/paired/9fa226be-09ac-40b2-9679-7a96b1df62eb_0.png", "image_2": "Perception/paired/9fa226be-09ac-40b2-9679-7a96b1df62eb_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "53fa8d36-f5a3-4794-9901-2d53e0386a92", "image_1": "Perception/paired/53fa8d36-f5a3-4794-9901-2d53e0386a92_0.png", "image_2": "Perception/paired/53fa8d36-f5a3-4794-9901-2d53e0386a92_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "e073188d-c9d3-4013-b8c8-b7688f3e4ee0", "image_1": "Perception/paired/e073188d-c9d3-4013-b8c8-b7688f3e4ee0_0.png", "image_2": "Perception/paired/e073188d-c9d3-4013-b8c8-b7688f3e4ee0_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "d75ac7b6-52ea-4d5e-a90c-2aa2d37a0471", "image_1": "Perception/paired/d75ac7b6-52ea-4d5e-a90c-2aa2d37a0471_0.png", "image_2": "Perception/paired/d75ac7b6-52ea-4d5e-a90c-2aa2d37a0471_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "f6f50f97-82a1-4bac-aaa1-a744d31a56be", "image_1": "Perception/paired/f6f50f97-82a1-4bac-aaa1-a744d31a56be_0.png", "image_2": "Perception/paired/f6f50f97-82a1-4bac-aaa1-a744d31a56be_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "eb425386-6d64-49c4-ab4f-3e826a3190c7", "image_1": "Perception/paired/eb425386-6d64-49c4-ab4f-3e826a3190c7_0.png", "image_2": "Perception/paired/eb425386-6d64-49c4-ab4f-3e826a3190c7_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "711e3c0c-1d16-4cb5-a98c-8cfd1714292f", "image_1": "Perception/paired/711e3c0c-1d16-4cb5-a98c-8cfd1714292f_0.png", "image_2": "Perception/paired/711e3c0c-1d16-4cb5-a98c-8cfd1714292f_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "ddd84e02-fe6f-41c4-97d7-bec6c9721370", "image_1": "Perception/paired/ddd84e02-fe6f-41c4-97d7-bec6c9721370_0.png", "image_2": "Perception/paired/ddd84e02-fe6f-41c4-97d7-bec6c9721370_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "902dcd5f-f40c-49ad-98d8-a193eea7e362", "image_1": "Perception/paired/902dcd5f-f40c-49ad-98d8-a193eea7e362_0.png", "image_2": "Perception/paired/902dcd5f-f40c-49ad-98d8-a193eea7e362_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "8c64565a-5cc0-4cea-bd1c-5b2185244541", "image_1": "Perception/paired/8c64565a-5cc0-4cea-bd1c-5b2185244541_0.png", "image_2": "Perception/paired/8c64565a-5cc0-4cea-bd1c-5b2185244541_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "9bea0c1c-d905-4980-8193-dbd302d96b16", "image_1": "Perception/paired/9bea0c1c-d905-4980-8193-dbd302d96b16_0.png", "image_2": "Perception/paired/9bea0c1c-d905-4980-8193-dbd302d96b16_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "745cd066-c939-4121-b829-e5f22c321e8c", "image_1": "Perception/paired/745cd066-c939-4121-b829-e5f22c321e8c_0.png", "image_2": "Perception/paired/745cd066-c939-4121-b829-e5f22c321e8c_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "7af0bedb-0510-47fd-91aa-1e7b30f8668a", "image_1": "Perception/paired/7af0bedb-0510-47fd-91aa-1e7b30f8668a_0.png", "image_2": "Perception/paired/7af0bedb-0510-47fd-91aa-1e7b30f8668a_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "18423b45-5a92-42f1-9e59-25f556a0e47e", "image_1": "Perception/paired/18423b45-5a92-42f1-9e59-25f556a0e47e_0.png", "image_2": "Perception/paired/18423b45-5a92-42f1-9e59-25f556a0e47e_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "f35a461f-7594-4f16-9c5a-d7fdaf1e4020", "image_1": "Perception/paired/f35a461f-7594-4f16-9c5a-d7fdaf1e4020_0.png", "image_2": "Perception/paired/f35a461f-7594-4f16-9c5a-d7fdaf1e4020_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "ded4ad0c-14ef-40a7-8adb-6beae285ab75", "image_1": "Perception/paired/ded4ad0c-14ef-40a7-8adb-6beae285ab75_0.png", "image_2": "Perception/paired/ded4ad0c-14ef-40a7-8adb-6beae285ab75_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "505976ff-3343-45d1-8045-b2e9ef605079", "image_1": "Perception/paired/505976ff-3343-45d1-8045-b2e9ef605079_0.png", "image_2": "Perception/paired/505976ff-3343-45d1-8045-b2e9ef605079_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "bc7c14d4-05d6-445a-bdf1-194052358a68", "image_1": "Perception/paired/bc7c14d4-05d6-445a-bdf1-194052358a68_0.png", "image_2": "Perception/paired/bc7c14d4-05d6-445a-bdf1-194052358a68_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "f0530fae-77a2-44be-8105-cd24543cb010", "image_1": "Perception/paired/f0530fae-77a2-44be-8105-cd24543cb010_0.png", "image_2": "Perception/paired/f0530fae-77a2-44be-8105-cd24543cb010_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "2d16c0e1-b972-405a-a2f4-b83c2d6c361a", "image_1": "Perception/paired/2d16c0e1-b972-405a-a2f4-b83c2d6c361a_0.png", "image_2": "Perception/paired/2d16c0e1-b972-405a-a2f4-b83c2d6c361a_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "abef5bb6-774e-4b50-ba4c-e4cda8e4fedd", "image_1": "Perception/paired/abef5bb6-774e-4b50-ba4c-e4cda8e4fedd_0.png", "image_2": "Perception/paired/abef5bb6-774e-4b50-ba4c-e4cda8e4fedd_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "f12a119d-6964-4d98-b413-4d4034c1b95a", "image_1": "Perception/paired/f12a119d-6964-4d98-b413-4d4034c1b95a_0.png", "image_2": "Perception/paired/f12a119d-6964-4d98-b413-4d4034c1b95a_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "af78711d-5f7b-4204-b5d7-1d9e164bade9", "image_1": "Perception/paired/af78711d-5f7b-4204-b5d7-1d9e164bade9_0.png", "image_2": "Perception/paired/af78711d-5f7b-4204-b5d7-1d9e164bade9_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "89da707e-6cb9-4c17-99e4-d7ba0c7b7830", "image_1": "Perception/paired/89da707e-6cb9-4c17-99e4-d7ba0c7b7830_0.png", "image_2": "Perception/paired/89da707e-6cb9-4c17-99e4-d7ba0c7b7830_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "2f72f59a-0fe4-4ab9-b364-93845e3098fc", "image_1": "Perception/paired/2f72f59a-0fe4-4ab9-b364-93845e3098fc_0.png", "image_2": "Perception/paired/2f72f59a-0fe4-4ab9-b364-93845e3098fc_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "25d58a3d-0a30-4f13-aa3a-f561fbd70165", "image_1": "Perception/paired/25d58a3d-0a30-4f13-aa3a-f561fbd70165_0.png", "image_2": "Perception/paired/25d58a3d-0a30-4f13-aa3a-f561fbd70165_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "8bc11c9a-7687-4ea9-8095-b56dfb177a91", "image_1": "Perception/paired/8bc11c9a-7687-4ea9-8095-b56dfb177a91_0.png", "image_2": "Perception/paired/8bc11c9a-7687-4ea9-8095-b56dfb177a91_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "facee16d-f993-4cba-94de-ee0710c76759", "image_1": "Perception/paired/facee16d-f993-4cba-94de-ee0710c76759_0.png", "image_2": "Perception/paired/facee16d-f993-4cba-94de-ee0710c76759_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "55687731-b22b-4b4a-8202-b3e3b607eb77", "image_1": "Perception/paired/55687731-b22b-4b4a-8202-b3e3b607eb77_0.png", "image_2": "Perception/paired/55687731-b22b-4b4a-8202-b3e3b607eb77_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "c2e3a08c-3cb9-4bdc-b69a-fca8de52016c", "image_1": "Perception/paired/c2e3a08c-3cb9-4bdc-b69a-fca8de52016c_0.png", "image_2": "Perception/paired/c2e3a08c-3cb9-4bdc-b69a-fca8de52016c_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "42d08c56-6615-4c42-803c-649458b22c3d", "image_1": "Perception/paired/42d08c56-6615-4c42-803c-649458b22c3d_0.png", "image_2": "Perception/paired/42d08c56-6615-4c42-803c-649458b22c3d_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "ce53375f-23ac-46d5-a0f1-d065760d7a4f", "image_1": "Perception/paired/ce53375f-23ac-46d5-a0f1-d065760d7a4f_0.png", "image_2": "Perception/paired/ce53375f-23ac-46d5-a0f1-d065760d7a4f_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "2932c745-6ca8-47d1-b1a0-c44786bb0213", "image_1": "Perception/paired/2932c745-6ca8-47d1-b1a0-c44786bb0213_0.png", "image_2": "Perception/paired/2932c745-6ca8-47d1-b1a0-c44786bb0213_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "fadf86fc-57ed-4e27-8556-27dc4d221979", "image_1": "Perception/paired/fadf86fc-57ed-4e27-8556-27dc4d221979_0.png", "image_2": "Perception/paired/fadf86fc-57ed-4e27-8556-27dc4d221979_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "2116c85a-8f07-42d1-ae1e-4fd89e25157a", "image_1": "Perception/paired/2116c85a-8f07-42d1-ae1e-4fd89e25157a_0.png", "image_2": "Perception/paired/2116c85a-8f07-42d1-ae1e-4fd89e25157a_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "38688ab0-51b1-4aec-aa0a-1b99c1c5686a", "image_1": "Perception/paired/38688ab0-51b1-4aec-aa0a-1b99c1c5686a_0.png", "image_2": "Perception/paired/38688ab0-51b1-4aec-aa0a-1b99c1c5686a_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "8e70b8fb-b7f7-444b-8150-af82c1ab508f", "image_1": "Perception/paired/8e70b8fb-b7f7-444b-8150-af82c1ab508f_0.png", "image_2": "Perception/paired/8e70b8fb-b7f7-444b-8150-af82c1ab508f_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "817e1060-c827-4fd6-a847-9b6814771684", "image_1": "Perception/paired/817e1060-c827-4fd6-a847-9b6814771684_0.png", "image_2": "Perception/paired/817e1060-c827-4fd6-a847-9b6814771684_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a5429200-66ba-401d-bd99-a8174423d070", "image_1": "Perception/paired/a5429200-66ba-401d-bd99-a8174423d070_0.png", "image_2": "Perception/paired/a5429200-66ba-401d-bd99-a8174423d070_1.png", "question": "Considering Image 1 as ground truth, what is the distortion severity rating for Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "70c8d2a5-2bde-48e9-8760-0a8b7afc6dff", "image_1": "Perception/paired/70c8d2a5-2bde-48e9-8760-0a8b7afc6dff_0.png", "image_2": "Perception/paired/70c8d2a5-2bde-48e9-8760-0a8b7afc6dff_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "3275000e-1db3-4c82-bb2d-959ebe267032", "image_1": "Perception/paired/3275000e-1db3-4c82-bb2d-959ebe267032_0.png", "image_2": "Perception/paired/3275000e-1db3-4c82-bb2d-959ebe267032_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "5d94886b-0245-474c-9cb2-fa0c76d78603", "image_1": "Perception/paired/5d94886b-0245-474c-9cb2-fa0c76d78603_0.png", "image_2": "Perception/paired/5d94886b-0245-474c-9cb2-fa0c76d78603_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e97bb5d7-c66a-44ab-baed-5982df614660", "image_1": "Perception/paired/e97bb5d7-c66a-44ab-baed-5982df614660_0.png", "image_2": "Perception/paired/e97bb5d7-c66a-44ab-baed-5982df614660_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "05594f88-8121-4f7e-b8c0-c8e10d89a4bc", "image_1": "Perception/paired/05594f88-8121-4f7e-b8c0-c8e10d89a4bc_0.png", "image_2": "Perception/paired/05594f88-8121-4f7e-b8c0-c8e10d89a4bc_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "c1f379ec-5bb5-4fa9-aab6-bd47aa295d26", "image_1": "Perception/paired/c1f379ec-5bb5-4fa9-aab6-bd47aa295d26_0.png", "image_2": "Perception/paired/c1f379ec-5bb5-4fa9-aab6-bd47aa295d26_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "45c19ae9-0285-4578-a257-82b570b1753f", "image_1": "Perception/paired/45c19ae9-0285-4578-a257-82b570b1753f_0.png", "image_2": "Perception/paired/45c19ae9-0285-4578-a257-82b570b1753f_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a331cf77-9ae0-4aad-b243-b673cda0f093", "image_1": "Perception/paired/a331cf77-9ae0-4aad-b243-b673cda0f093_0.png", "image_2": "Perception/paired/a331cf77-9ae0-4aad-b243-b673cda0f093_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "f4c0f802-fac5-41ff-94fb-a9b21e8daeee", "image_1": "Perception/paired/f4c0f802-fac5-41ff-94fb-a9b21e8daeee_0.png", "image_2": "Perception/paired/f4c0f802-fac5-41ff-94fb-a9b21e8daeee_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "19f43dbf-1c25-41fe-86a1-84e2d0355a84", "image_1": "Perception/paired/19f43dbf-1c25-41fe-86a1-84e2d0355a84_0.png", "image_2": "Perception/paired/19f43dbf-1c25-41fe-86a1-84e2d0355a84_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "01c1602c-72b1-4d0d-8700-c9a09b29b9e5", "image_1": "Perception/paired/01c1602c-72b1-4d0d-8700-c9a09b29b9e5_0.png", "image_2": "Perception/paired/01c1602c-72b1-4d0d-8700-c9a09b29b9e5_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "00d71be7-28b7-4ade-b12d-291bdc5aea4d", "image_1": "Perception/paired/00d71be7-28b7-4ade-b12d-291bdc5aea4d_0.png", "image_2": "Perception/paired/00d71be7-28b7-4ade-b12d-291bdc5aea4d_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "20210020-d00c-4acb-8887-6721be5b737c", "image_1": "Perception/paired/20210020-d00c-4acb-8887-6721be5b737c_0.png", "image_2": "Perception/paired/20210020-d00c-4acb-8887-6721be5b737c_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "cd5c90b0-5320-436b-913e-0ae3e741d244", "image_1": "Perception/paired/cd5c90b0-5320-436b-913e-0ae3e741d244_0.png", "image_2": "Perception/paired/cd5c90b0-5320-436b-913e-0ae3e741d244_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "1854ac58-116b-4601-87db-2db8b578941c", "image_1": "Perception/paired/1854ac58-116b-4601-87db-2db8b578941c_0.png", "image_2": "Perception/paired/1854ac58-116b-4601-87db-2db8b578941c_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "eee49e3e-817e-4f71-a895-c3d905ed21a8", "image_1": "Perception/paired/eee49e3e-817e-4f71-a895-c3d905ed21a8_0.png", "image_2": "Perception/paired/eee49e3e-817e-4f71-a895-c3d905ed21a8_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "52628307-e71e-4306-806a-c24ac7d79a4f", "image_1": "Perception/paired/52628307-e71e-4306-806a-c24ac7d79a4f_0.png", "image_2": "Perception/paired/52628307-e71e-4306-806a-c24ac7d79a4f_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "51f67038-932b-4343-9051-dbafea8fbc1b", "image_1": "Perception/paired/51f67038-932b-4343-9051-dbafea8fbc1b_0.png", "image_2": "Perception/paired/51f67038-932b-4343-9051-dbafea8fbc1b_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "6d82299c-c1da-4b27-b36e-1d57f86c3db8", "image_1": "Perception/paired/6d82299c-c1da-4b27-b36e-1d57f86c3db8_0.png", "image_2": "Perception/paired/6d82299c-c1da-4b27-b36e-1d57f86c3db8_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "462606b2-0e9c-4bf7-892d-f6a9fffd6df6", "image_1": "Perception/paired/462606b2-0e9c-4bf7-892d-f6a9fffd6df6_0.png", "image_2": "Perception/paired/462606b2-0e9c-4bf7-892d-f6a9fffd6df6_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "18163b90-1009-4792-8185-68c5e8a37eca", "image_1": "Perception/paired/18163b90-1009-4792-8185-68c5e8a37eca_0.png", "image_2": "Perception/paired/18163b90-1009-4792-8185-68c5e8a37eca_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "ac4e66b3-206e-4674-8ebc-35f574384f88", "image_1": "Perception/paired/ac4e66b3-206e-4674-8ebc-35f574384f88_0.png", "image_2": "Perception/paired/ac4e66b3-206e-4674-8ebc-35f574384f88_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "e7b9f6db-5b98-4790-b551-7f289760445a", "image_1": "Perception/paired/e7b9f6db-5b98-4790-b551-7f289760445a_0.png", "image_2": "Perception/paired/e7b9f6db-5b98-4790-b551-7f289760445a_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "854d45a3-d58e-44e4-a7fc-daa9a37da988", "image_1": "Perception/paired/854d45a3-d58e-44e4-a7fc-daa9a37da988_0.png", "image_2": "Perception/paired/854d45a3-d58e-44e4-a7fc-daa9a37da988_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "999e01cd-fb5a-42f3-9ea5-187110dcb270", "image_1": "Perception/paired/999e01cd-fb5a-42f3-9ea5-187110dcb270_0.png", "image_2": "Perception/paired/999e01cd-fb5a-42f3-9ea5-187110dcb270_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "9b839318-a8ea-456f-ac3a-6ed3621ad4f7", "image_1": "Perception/paired/9b839318-a8ea-456f-ac3a-6ed3621ad4f7_0.png", "image_2": "Perception/paired/9b839318-a8ea-456f-ac3a-6ed3621ad4f7_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "b7b63fa0-c763-4289-ba93-e71c8f588767", "image_1": "Perception/paired/b7b63fa0-c763-4289-ba93-e71c8f588767_0.png", "image_2": "Perception/paired/b7b63fa0-c763-4289-ba93-e71c8f588767_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "f7520711-c660-4f56-becf-fc4a2f8175b2", "image_1": "Perception/paired/f7520711-c660-4f56-becf-fc4a2f8175b2_0.png", "image_2": "Perception/paired/f7520711-c660-4f56-becf-fc4a2f8175b2_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "d8e2eedc-5aab-4420-bf44-a5dce41a4b6f", "image_1": "Perception/paired/d8e2eedc-5aab-4420-bf44-a5dce41a4b6f_0.png", "image_2": "Perception/paired/d8e2eedc-5aab-4420-bf44-a5dce41a4b6f_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "2a6e1829-d886-4039-8c2f-d3b9cd962a23", "image_1": "Perception/paired/2a6e1829-d886-4039-8c2f-d3b9cd962a23_0.png", "image_2": "Perception/paired/2a6e1829-d886-4039-8c2f-d3b9cd962a23_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "85a0ff6b-b6dc-430f-916f-0bb6f5281e40", "image_1": "Perception/paired/85a0ff6b-b6dc-430f-916f-0bb6f5281e40_0.png", "image_2": "Perception/paired/85a0ff6b-b6dc-430f-916f-0bb6f5281e40_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "b5425c06-5f98-4e91-883e-071da6be89cd", "image_1": "Perception/paired/b5425c06-5f98-4e91-883e-071da6be89cd_0.png", "image_2": "Perception/paired/b5425c06-5f98-4e91-883e-071da6be89cd_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "92b36643-22e4-4c01-980b-26e606382048", "image_1": "Perception/paired/92b36643-22e4-4c01-980b-26e606382048_0.png", "image_2": "Perception/paired/92b36643-22e4-4c01-980b-26e606382048_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "30ee61fc-6c9d-435c-8850-241df721cef9", "image_1": "Perception/paired/30ee61fc-6c9d-435c-8850-241df721cef9_0.png", "image_2": "Perception/paired/30ee61fc-6c9d-435c-8850-241df721cef9_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "12237dd4-22aa-4e44-a983-cb13f0e62690", "image_1": "Perception/paired/12237dd4-22aa-4e44-a983-cb13f0e62690_0.png", "image_2": "Perception/paired/12237dd4-22aa-4e44-a983-cb13f0e62690_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "614ee398-9afe-4451-b215-5416c7a0970f", "image_1": "Perception/paired/614ee398-9afe-4451-b215-5416c7a0970f_0.png", "image_2": "Perception/paired/614ee398-9afe-4451-b215-5416c7a0970f_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "5f77fe3a-2194-4c92-a618-08628c18685e", "image_1": "Perception/paired/5f77fe3a-2194-4c92-a618-08628c18685e_0.png", "image_2": "Perception/paired/5f77fe3a-2194-4c92-a618-08628c18685e_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "8389c0cf-0767-4e5a-b677-385fb0d4d163", "image_1": "Perception/paired/8389c0cf-0767-4e5a-b677-385fb0d4d163_0.png", "image_2": "Perception/paired/8389c0cf-0767-4e5a-b677-385fb0d4d163_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "6949e3f5-6620-4067-8f6f-8859f8294897", "image_1": "Perception/paired/6949e3f5-6620-4067-8f6f-8859f8294897_0.png", "image_2": "Perception/paired/6949e3f5-6620-4067-8f6f-8859f8294897_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "04aa5f64-aebf-455e-8e71-cc371f090a0e", "image_1": "Perception/paired/04aa5f64-aebf-455e-8e71-cc371f090a0e_0.png", "image_2": "Perception/paired/04aa5f64-aebf-455e-8e71-cc371f090a0e_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "69dffb1c-03a0-4261-b03b-969c9f0c0386", "image_1": "Perception/paired/69dffb1c-03a0-4261-b03b-969c9f0c0386_0.png", "image_2": "Perception/paired/69dffb1c-03a0-4261-b03b-969c9f0c0386_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "2e002d85-cc30-46df-8f2e-86ca0aa37e21", "image_1": "Perception/paired/2e002d85-cc30-46df-8f2e-86ca0aa37e21_0.png", "image_2": "Perception/paired/2e002d85-cc30-46df-8f2e-86ca0aa37e21_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "d3903de3-ed70-4234-a5ba-ed7c920d87eb", "image_1": "Perception/paired/d3903de3-ed70-4234-a5ba-ed7c920d87eb_0.png", "image_2": "Perception/paired/d3903de3-ed70-4234-a5ba-ed7c920d87eb_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "98959f97-2f0e-45db-a2b5-e88e7c1d54e2", "image_1": "Perception/paired/98959f97-2f0e-45db-a2b5-e88e7c1d54e2_0.png", "image_2": "Perception/paired/98959f97-2f0e-45db-a2b5-e88e7c1d54e2_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e2101e5a-20ce-4322-a5e2-23955c19a2c2", "image_1": "Perception/paired/e2101e5a-20ce-4322-a5e2-23955c19a2c2_0.png", "image_2": "Perception/paired/e2101e5a-20ce-4322-a5e2-23955c19a2c2_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "9b8b4237-b5f8-4a66-b3b4-f556dd1906ad", "image_1": "Perception/paired/9b8b4237-b5f8-4a66-b3b4-f556dd1906ad_0.png", "image_2": "Perception/paired/9b8b4237-b5f8-4a66-b3b4-f556dd1906ad_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "2c64635f-39c8-424a-b36e-0e4b156838c2", "image_1": "Perception/paired/2c64635f-39c8-424a-b36e-0e4b156838c2_0.png", "image_2": "Perception/paired/2c64635f-39c8-424a-b36e-0e4b156838c2_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "e6ee2bc6-d211-488f-95d7-ceef072e431b", "image_1": "Perception/paired/e6ee2bc6-d211-488f-95d7-ceef072e431b_0.png", "image_2": "Perception/paired/e6ee2bc6-d211-488f-95d7-ceef072e431b_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "6c06d784-61c4-46f2-86b6-3b93739e86db", "image_1": "Perception/paired/6c06d784-61c4-46f2-86b6-3b93739e86db_0.png", "image_2": "Perception/paired/6c06d784-61c4-46f2-86b6-3b93739e86db_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "a04c174f-580b-4270-bc6e-5ba9660904c0", "image_1": "Perception/paired/a04c174f-580b-4270-bc6e-5ba9660904c0_0.png", "image_2": "Perception/paired/a04c174f-580b-4270-bc6e-5ba9660904c0_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "e70c974d-5052-4e3d-8c51-e51170f4f6cc", "image_1": "Perception/paired/e70c974d-5052-4e3d-8c51-e51170f4f6cc_0.png", "image_2": "Perception/paired/e70c974d-5052-4e3d-8c51-e51170f4f6cc_1.png", "question": "How would you grade the distortion intensity affecting Image 2 relative to its reference counterpart?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "8e6d5f71-4416-482f-ba47-f74ce6913a6c", "image_1": "Perception/paired/8e6d5f71-4416-482f-ba47-f74ce6913a6c_0.png", "image_2": "Perception/paired/8e6d5f71-4416-482f-ba47-f74ce6913a6c_1.png", "question": "Which severity level best matches the difference between the reference image and the distorted one?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "ef300d01-e89b-4cc0-95b8-492117028ce3", "image_1": "Perception/paired/ef300d01-e89b-4cc0-95b8-492117028ce3_0.png", "image_2": "Perception/paired/ef300d01-e89b-4cc0-95b8-492117028ce3_1.png", "question": "Assess the overall quality of Image 2 relative to Image 1 using the three labeled categories.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "62d1a516-9584-42ce-9fed-bca79d729296", "image_1": "Perception/paired/62d1a516-9584-42ce-9fed-bca79d729296_0.png", "image_2": "Perception/paired/62d1a516-9584-42ce-9fed-bca79d729296_1.png", "question": "Treating Image 1 as pristine, how would you rate the quality of Image 2 using the three-level scale provided?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "7b62bee9-a22a-4e86-ac61-51f7228858bb", "image_1": "Perception/paired/7b62bee9-a22a-4e86-ac61-51f7228858bb_0.png", "image_2": "Perception/paired/7b62bee9-a22a-4e86-ac61-51f7228858bb_1.png", "question": "Considering Image 1 as ground truth, what is the distortion severity rating for Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "a827962e-d92a-4ada-877c-9e07c5cf6cc5", "image_1": "Perception/paired/a827962e-d92a-4ada-877c-9e07c5cf6cc5_0.png", "image_2": "Perception/paired/a827962e-d92a-4ada-877c-9e07c5cf6cc5_1.png", "question": "How much quality degradation do you observe in the distorted image versus the reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "cc6602df-881c-4611-8da4-6e2a390f07c1", "image_1": "Perception/paired/cc6602df-881c-4611-8da4-6e2a390f07c1_0.png", "image_2": "Perception/paired/cc6602df-881c-4611-8da4-6e2a390f07c1_1.png", "question": "How strong is the distortion effect observed in Image 2 compared with its reference?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "0a8c7dd1-51e2-4055-85cf-c24b5f52d5b4", "image_1": "Perception/paired/0a8c7dd1-51e2-4055-85cf-c24b5f52d5b4_0.png", "image_2": "Perception/paired/0a8c7dd1-51e2-4055-85cf-c24b5f52d5b4_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "b4442ba1-350f-4f6e-882c-cfb0c7a9adc9", "image_1": "Perception/paired/b4442ba1-350f-4f6e-882c-cfb0c7a9adc9_0.png", "image_2": "Perception/paired/b4442ba1-350f-4f6e-882c-cfb0c7a9adc9_1.png", "question": "Given that Image 1 is the reference and Image 2 is distorted, how severe is the degradation in Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "70ac4597-f366-48c1-860e-224e00b0ca16", "image_1": "Perception/paired/70ac4597-f366-48c1-860e-224e00b0ca16_0.png", "image_2": "Perception/paired/70ac4597-f366-48c1-860e-224e00b0ca16_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "3d66f726-b6f0-4271-8f6d-dd8205430f99", "image_1": "Perception/paired/3d66f726-b6f0-4271-8f6d-dd8205430f99_0.png", "image_2": "Perception/paired/3d66f726-b6f0-4271-8f6d-dd8205430f99_1.png", "question": "Evaluate the visual quality gap between the reference and degraded images using the three severity levels.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "A"}
{"id": "062d4544-fb4c-4f5c-bdd1-9dcdb6c2a87c", "image_1": "Perception/paired/062d4544-fb4c-4f5c-bdd1-9dcdb6c2a87c_0.png", "image_2": "Perception/paired/062d4544-fb4c-4f5c-bdd1-9dcdb6c2a87c_1.png", "question": "When comparing the two images, how noticeable is the distortion introduced in the degraded image?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "45cf08c8-d06d-4a08-ac04-48460861d3b3", "image_1": "Perception/paired/45cf08c8-d06d-4a08-ac04-48460861d3b3_0.png", "image_2": "Perception/paired/45cf08c8-d06d-4a08-ac04-48460861d3b3_1.png", "question": "Compare Image 2 to Image 1 and choose the severity of distortion.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "77d3ab8f-eafb-4bcc-b251-6b581c561e5d", "image_1": "Perception/paired/77d3ab8f-eafb-4bcc-b251-6b581c561e5d_0.png", "image_2": "Perception/paired/77d3ab8f-eafb-4bcc-b251-6b581c561e5d_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "f421e816-88ab-497b-a41d-3038440aff68", "image_1": "Perception/paired/f421e816-88ab-497b-a41d-3038440aff68_0.png", "image_2": "Perception/paired/f421e816-88ab-497b-a41d-3038440aff68_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "aca8e905-977a-4259-bd17-9e88578d9a26", "image_1": "Perception/paired/aca8e905-977a-4259-bd17-9e88578d9a26_0.png", "image_2": "Perception/paired/aca8e905-977a-4259-bd17-9e88578d9a26_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "aa7b6dd7-0bcf-4653-8c0a-6f579c402b54", "image_1": "Perception/paired/aa7b6dd7-0bcf-4653-8c0a-6f579c402b54_0.png", "image_2": "Perception/paired/aa7b6dd7-0bcf-4653-8c0a-6f579c402b54_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "B"}
{"id": "55ad286b-3911-470c-8b82-97cdcc9ab6e3", "image_1": "Perception/paired/55ad286b-3911-470c-8b82-97cdcc9ab6e3_0.png", "image_2": "Perception/paired/55ad286b-3911-470c-8b82-97cdcc9ab6e3_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "2f8b6c60-c2e4-4e70-a1b0-63d660fb5059", "image_1": "Perception/paired/2f8b6c60-c2e4-4e70-a1b0-63d660fb5059_0.png", "image_2": "Perception/paired/2f8b6c60-c2e4-4e70-a1b0-63d660fb5059_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "bcdff8df-8c5d-41cb-893b-c2981f89f8d9", "image_1": "Perception/paired/bcdff8df-8c5d-41cb-893b-c2981f89f8d9_0.png", "image_2": "Perception/paired/bcdff8df-8c5d-41cb-893b-c2981f89f8d9_1.png", "question": "Relative to the reference, which severity label (No/Slight, Moderate, Severe) best describes Image 2?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "8dd16ded-c1b7-4409-a410-cc215bfda04f", "image_1": "Perception/paired/8dd16ded-c1b7-4409-a410-cc215bfda04f_0.png", "image_2": "Perception/paired/8dd16ded-c1b7-4409-a410-cc215bfda04f_1.png", "question": "How would you rate the degradation severity in Image 2 compared to the reference Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "15b38112-e541-4113-8f5a-4d9b825b0a16", "image_1": "Perception/paired/15b38112-e541-4113-8f5a-4d9b825b0a16_0.png", "image_2": "Perception/paired/15b38112-e541-4113-8f5a-4d9b825b0a16_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "6f8bf709-5ca2-4310-9244-92eae9b3f95a", "image_1": "Perception/paired/6f8bf709-5ca2-4310-9244-92eae9b3f95a_0.png", "image_2": "Perception/paired/6f8bf709-5ca2-4310-9244-92eae9b3f95a_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "522a3e76-425c-468c-9cbe-6c2a14e15106", "image_1": "Perception/paired/522a3e76-425c-468c-9cbe-6c2a14e15106_0.png", "image_2": "Perception/paired/522a3e76-425c-468c-9cbe-6c2a14e15106_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "493b084b-c83e-484b-8c14-42cbc6060e0f", "image_1": "Perception/paired/493b084b-c83e-484b-8c14-42cbc6060e0f_0.png", "image_2": "Perception/paired/493b084b-c83e-484b-8c14-42cbc6060e0f_1.png", "question": "Assess the distortion level in Image 2 relative to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "ce0c8bd3-f52a-402e-8126-db1169b40fe2", "image_1": "Perception/paired/ce0c8bd3-f52a-402e-8126-db1169b40fe2_0.png", "image_2": "Perception/paired/ce0c8bd3-f52a-402e-8126-db1169b40fe2_1.png", "question": "What is the severity of the artifact in Image 2 when compared to Image 1?\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "bfb517f6-4788-43ac-999a-907db06c672b", "image_1": "Perception/paired/bfb517f6-4788-43ac-999a-907db06c672b_0.png", "image_2": "Perception/paired/bfb517f6-4788-43ac-999a-907db06c672b_1.png", "question": "Using the options provided, rate the overall quality of Image 2 compared to Image 1.\nA.No/Slight distortion\nB.Moderate distortion\nC.Severe distortion", "answer": "C"}
{"id": "9a4ba319-e5b9-4b33-a976-1cd9557f91f6", "image_1": "Perception/paired/9a4ba319-e5b9-4b33-a976-1cd9557f91f6_0.png", "image_2": "Perception/paired/9a4ba319-e5b9-4b33-a976-1cd9557f91f6_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.missing tiles\nC.No distortion\nD.image stretching", "answer": "C"}
{"id": "266338f7-763e-4aa6-9fe2-dd357d76ee3e", "image_1": "Perception/paired/266338f7-763e-4aa6-9fe2-dd357d76ee3e_0.png", "image_2": "Perception/paired/266338f7-763e-4aa6-9fe2-dd357d76ee3e_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.image stretching\nC.dead pixel\nD.blur", "answer": "D"}
{"id": "e2fea3aa-a142-4d87-bd18-2d1ee7e83122", "image_1": "Perception/paired/e2fea3aa-a142-4d87-bd18-2d1ee7e83122_0.png", "image_2": "Perception/paired/e2fea3aa-a142-4d87-bd18-2d1ee7e83122_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.image stretching\nC.blur\nD.haze", "answer": "C"}
{"id": "e1d25c90-b83e-40be-8f37-f36446a91fcb", "image_1": "Perception/paired/e1d25c90-b83e-40be-8f37-f36446a91fcb_0.png", "image_2": "Perception/paired/e1d25c90-b83e-40be-8f37-f36446a91fcb_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.blur\nB.image compression\nC.image stretching\nD.haze", "answer": "A"}
{"id": "271ef363-2358-4c99-a060-7df5a1e8530a", "image_1": "Perception/paired/271ef363-2358-4c99-a060-7df5a1e8530a_0.png", "image_2": "Perception/paired/271ef363-2358-4c99-a060-7df5a1e8530a_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.image stretching\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "a4b7b1e1-7bbc-4772-9b22-905f9e7f6bc1", "image_1": "Perception/paired/a4b7b1e1-7bbc-4772-9b22-905f9e7f6bc1_0.png", "image_2": "Perception/paired/a4b7b1e1-7bbc-4772-9b22-905f9e7f6bc1_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.color distortion\nB.haze\nC.missing tiles\nD.No distortion", "answer": "D"}
{"id": "00045374-08ab-4122-95fb-c7585d9ccf01", "image_1": "Perception/paired/00045374-08ab-4122-95fb-c7585d9ccf01_0.png", "image_2": "Perception/paired/00045374-08ab-4122-95fb-c7585d9ccf01_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.blur\nB.color distortion\nC.missing tiles\nD.No distortion", "answer": "A"}
{"id": "3e9e0e58-30fa-4676-bd6d-61237383bc0c", "image_1": "Perception/paired/3e9e0e58-30fa-4676-bd6d-61237383bc0c_0.png", "image_2": "Perception/paired/3e9e0e58-30fa-4676-bd6d-61237383bc0c_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "bb0eb9bb-7af6-4376-82d4-b0880c8f1796", "image_1": "Perception/paired/bb0eb9bb-7af6-4376-82d4-b0880c8f1796_0.png", "image_2": "Perception/paired/bb0eb9bb-7af6-4376-82d4-b0880c8f1796_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image compression\nC.color distortion\nD.blur", "answer": "A"}
{"id": "8580fa3f-64ac-4adf-a3f4-88de781d3d16", "image_1": "Perception/paired/8580fa3f-64ac-4adf-a3f4-88de781d3d16_0.png", "image_2": "Perception/paired/8580fa3f-64ac-4adf-a3f4-88de781d3d16_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.blur\nC.No distortion\nD.noise", "answer": "B"}
{"id": "d871412f-b6b7-4964-b2ad-38039ce2ab1b", "image_1": "Perception/paired/d871412f-b6b7-4964-b2ad-38039ce2ab1b_0.png", "image_2": "Perception/paired/d871412f-b6b7-4964-b2ad-38039ce2ab1b_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.blur\nB.cloud\nC.noise\nD.No distortion", "answer": "A"}
{"id": "a67d293c-a945-46f9-b0d1-fcbe4de596e5", "image_1": "Perception/paired/a67d293c-a945-46f9-b0d1-fcbe4de596e5_0.png", "image_2": "Perception/paired/a67d293c-a945-46f9-b0d1-fcbe4de596e5_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image compression\nB.image stretching\nC.haze\nD.No distortion", "answer": "D"}
{"id": "6ddecf97-e0ec-4e80-b455-7825c81328e2", "image_1": "Perception/paired/6ddecf97-e0ec-4e80-b455-7825c81328e2_0.png", "image_2": "Perception/paired/6ddecf97-e0ec-4e80-b455-7825c81328e2_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.No distortion\nC.blur\nD.cloud", "answer": "C"}
{"id": "42320645-6b2d-4940-8b21-9e10474781a4", "image_1": "Perception/paired/42320645-6b2d-4940-8b21-9e10474781a4_0.png", "image_2": "Perception/paired/42320645-6b2d-4940-8b21-9e10474781a4_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.noise\nC.blur\nD.dead pixel", "answer": "C"}
{"id": "10de1b6b-111a-4364-bc41-b1cdfcb16ffb", "image_1": "Perception/paired/10de1b6b-111a-4364-bc41-b1cdfcb16ffb_0.png", "image_2": "Perception/paired/10de1b6b-111a-4364-bc41-b1cdfcb16ffb_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.blur\nB.No distortion\nC.haze\nD.color distortion", "answer": "A"}
{"id": "3dfb3892-d0bf-4092-9a7e-09c6480b7837", "image_1": "Perception/paired/3dfb3892-d0bf-4092-9a7e-09c6480b7837_0.png", "image_2": "Perception/paired/3dfb3892-d0bf-4092-9a7e-09c6480b7837_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.dead pixel\nC.image compression\nD.image stretching", "answer": "A"}
{"id": "2ef7ae9d-f857-4f9c-9b46-c86bb5efed36", "image_1": "Perception/paired/2ef7ae9d-f857-4f9c-9b46-c86bb5efed36_0.png", "image_2": "Perception/paired/2ef7ae9d-f857-4f9c-9b46-c86bb5efed36_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.blur\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "3f40937c-8ebe-4fcf-bcec-7f88046ac866", "image_1": "Perception/paired/3f40937c-8ebe-4fcf-bcec-7f88046ac866_0.png", "image_2": "Perception/paired/3f40937c-8ebe-4fcf-bcec-7f88046ac866_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.color distortion\nB.image compression\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "68b3da52-6849-42ac-a00d-b359158eb5dc", "image_1": "Perception/paired/68b3da52-6849-42ac-a00d-b359158eb5dc_0.png", "image_2": "Perception/paired/68b3da52-6849-42ac-a00d-b359158eb5dc_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image compression\nB.blur\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "44bd8aab-f7d9-45ad-bb92-cb5e257c4e01", "image_1": "Perception/paired/44bd8aab-f7d9-45ad-bb92-cb5e257c4e01_0.png", "image_2": "Perception/paired/44bd8aab-f7d9-45ad-bb92-cb5e257c4e01_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "7bc28c94-b30c-4788-b9c4-ec4e368a7194", "image_1": "Perception/paired/7bc28c94-b30c-4788-b9c4-ec4e368a7194_0.png", "image_2": "Perception/paired/7bc28c94-b30c-4788-b9c4-ec4e368a7194_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.No distortion\nC.noise\nD.image stretching", "answer": "B"}
{"id": "3444dd35-e0a6-4baa-bf78-9051dcdb6480", "image_1": "Perception/paired/3444dd35-e0a6-4baa-bf78-9051dcdb6480_0.png", "image_2": "Perception/paired/3444dd35-e0a6-4baa-bf78-9051dcdb6480_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.missing tiles\nC.No distortion\nD.blur", "answer": "D"}
{"id": "d5b43363-56f4-4d8a-8ea1-0169f00ddebf", "image_1": "Perception/paired/d5b43363-56f4-4d8a-8ea1-0169f00ddebf_0.png", "image_2": "Perception/paired/d5b43363-56f4-4d8a-8ea1-0169f00ddebf_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.color distortion\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "ba5195f8-1b5c-4591-9cd1-59938a8cfb05", "image_1": "Perception/paired/ba5195f8-1b5c-4591-9cd1-59938a8cfb05_0.png", "image_2": "Perception/paired/ba5195f8-1b5c-4591-9cd1-59938a8cfb05_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.blur\nB.No distortion\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "1f10cd89-89d0-4278-9f35-b8c6948d0461", "image_1": "Perception/paired/1f10cd89-89d0-4278-9f35-b8c6948d0461_0.png", "image_2": "Perception/paired/1f10cd89-89d0-4278-9f35-b8c6948d0461_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.blur\nD.missing tiles", "answer": "C"}
{"id": "d936163c-6f78-4e34-a788-6b3c44e22c9f", "image_1": "Perception/paired/d936163c-6f78-4e34-a788-6b3c44e22c9f_0.png", "image_2": "Perception/paired/d936163c-6f78-4e34-a788-6b3c44e22c9f_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.blur\nC.haze\nD.No distortion", "answer": "B"}
{"id": "da2956ff-cb9a-4ba0-b801-44e7dbc43afe", "image_1": "Perception/paired/da2956ff-cb9a-4ba0-b801-44e7dbc43afe_0.png", "image_2": "Perception/paired/da2956ff-cb9a-4ba0-b801-44e7dbc43afe_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.No distortion\nC.noise\nD.blur", "answer": "D"}
{"id": "30d0fe9c-cf33-4823-b378-080f9474b176", "image_1": "Perception/paired/30d0fe9c-cf33-4823-b378-080f9474b176_0.png", "image_2": "Perception/paired/30d0fe9c-cf33-4823-b378-080f9474b176_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.cloud\nC.No distortion\nD.blur", "answer": "C"}
{"id": "8c704ee8-78b6-490e-b2a8-a7c1afb3f34a", "image_1": "Perception/paired/8c704ee8-78b6-490e-b2a8-a7c1afb3f34a_0.png", "image_2": "Perception/paired/8c704ee8-78b6-490e-b2a8-a7c1afb3f34a_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.cloud\nB.dead pixel\nC.blur\nD.color distortion", "answer": "C"}
{"id": "b1672add-bfdf-42b5-9fee-a72f9198d0cb", "image_1": "Perception/paired/b1672add-bfdf-42b5-9fee-a72f9198d0cb_0.png", "image_2": "Perception/paired/b1672add-bfdf-42b5-9fee-a72f9198d0cb_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.blur\nC.color distortion\nD.cloud", "answer": "B"}
{"id": "812d6735-e3b4-4496-9435-8d97b3c545d8", "image_1": "Perception/paired/812d6735-e3b4-4496-9435-8d97b3c545d8_0.png", "image_2": "Perception/paired/812d6735-e3b4-4496-9435-8d97b3c545d8_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.haze\nC.blur\nD.color distortion", "answer": "C"}
{"id": "60c39a35-b28f-490e-bbe9-99449e9b1d5f", "image_1": "Perception/paired/60c39a35-b28f-490e-bbe9-99449e9b1d5f_0.png", "image_2": "Perception/paired/60c39a35-b28f-490e-bbe9-99449e9b1d5f_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.cloud\nC.blur\nD.No distortion", "answer": "C"}
{"id": "3fa7023b-f33c-4691-9de1-1b45ebe3a9cc", "image_1": "Perception/paired/3fa7023b-f33c-4691-9de1-1b45ebe3a9cc_0.png", "image_2": "Perception/paired/3fa7023b-f33c-4691-9de1-1b45ebe3a9cc_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "d5bf883c-c543-4754-b801-6aa765aa100a", "image_1": "Perception/paired/d5bf883c-c543-4754-b801-6aa765aa100a_0.png", "image_2": "Perception/paired/d5bf883c-c543-4754-b801-6aa765aa100a_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.blur\nC.cloud\nD.noise", "answer": "B"}
{"id": "fd9ad2d6-5254-45a0-af4a-fb55cf0e8fac", "image_1": "Perception/paired/fd9ad2d6-5254-45a0-af4a-fb55cf0e8fac_0.png", "image_2": "Perception/paired/fd9ad2d6-5254-45a0-af4a-fb55cf0e8fac_1.png", "question": "Identify the main distortion introduced between the two images.\nA.cloud\nB.image compression\nC.image stretching\nD.blur", "answer": "D"}
{"id": "939bd35d-7ae7-466e-88d6-646b9905deb7", "image_1": "Perception/paired/939bd35d-7ae7-466e-88d6-646b9905deb7_0.png", "image_2": "Perception/paired/939bd35d-7ae7-466e-88d6-646b9905deb7_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.haze", "answer": "C"}
{"id": "4498a53f-cff3-4c89-b782-61daf0281a79", "image_1": "Perception/paired/4498a53f-cff3-4c89-b782-61daf0281a79_0.png", "image_2": "Perception/paired/4498a53f-cff3-4c89-b782-61daf0281a79_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.missing tiles\nB.cloud\nC.image stretching\nD.blur", "answer": "D"}
{"id": "e0e810be-5c3b-4f93-a011-4e2cd309c0f6", "image_1": "Perception/paired/e0e810be-5c3b-4f93-a011-4e2cd309c0f6_0.png", "image_2": "Perception/paired/e0e810be-5c3b-4f93-a011-4e2cd309c0f6_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.missing tiles\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "C"}
{"id": "85d68290-2c8d-4c73-bbd8-dd291697e982", "image_1": "Perception/paired/85d68290-2c8d-4c73-bbd8-dd291697e982_0.png", "image_2": "Perception/paired/85d68290-2c8d-4c73-bbd8-dd291697e982_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.blur\nC.haze\nD.No distortion", "answer": "B"}
{"id": "3ae5de29-1cf8-4e96-8aaf-fd1a6f271d16", "image_1": "Perception/paired/3ae5de29-1cf8-4e96-8aaf-fd1a6f271d16_0.png", "image_2": "Perception/paired/3ae5de29-1cf8-4e96-8aaf-fd1a6f271d16_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.No distortion\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "c7020bc1-4afb-42ed-b889-dce3b579c457", "image_1": "Perception/paired/c7020bc1-4afb-42ed-b889-dce3b579c457_0.png", "image_2": "Perception/paired/c7020bc1-4afb-42ed-b889-dce3b579c457_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.noise\nB.image compression\nC.cloud\nD.blur", "answer": "D"}
{"id": "e42b98d4-8d1d-4ef8-9874-ff07c1637ea6", "image_1": "Perception/paired/e42b98d4-8d1d-4ef8-9874-ff07c1637ea6_0.png", "image_2": "Perception/paired/e42b98d4-8d1d-4ef8-9874-ff07c1637ea6_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.cloud\nB.missing tiles\nC.blur\nD.No distortion", "answer": "C"}
{"id": "b154de90-5f6f-423c-9752-a0b335cb577f", "image_1": "Perception/paired/b154de90-5f6f-423c-9752-a0b335cb577f_0.png", "image_2": "Perception/paired/b154de90-5f6f-423c-9752-a0b335cb577f_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.noise\nB.haze\nC.dead pixel\nD.blur", "answer": "D"}
{"id": "e10170a5-765b-4509-ab45-3c4e53d8b1f0", "image_1": "Perception/paired/e10170a5-765b-4509-ab45-3c4e53d8b1f0_0.png", "image_2": "Perception/paired/e10170a5-765b-4509-ab45-3c4e53d8b1f0_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.haze\nC.blur\nD.cloud", "answer": "C"}
{"id": "e085441a-e9db-4cc1-8e38-efee2180179f", "image_1": "Perception/paired/e085441a-e9db-4cc1-8e38-efee2180179f_0.png", "image_2": "Perception/paired/e085441a-e9db-4cc1-8e38-efee2180179f_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.dead pixel\nB.cloud\nC.missing tiles\nD.blur", "answer": "D"}
{"id": "07fe2426-1c96-489f-88fb-8fa32fd539b7", "image_1": "Perception/paired/07fe2426-1c96-489f-88fb-8fa32fd539b7_0.png", "image_2": "Perception/paired/07fe2426-1c96-489f-88fb-8fa32fd539b7_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.blur\nB.image compression\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "5914e128-6229-47ca-9f22-62fe25d56bd0", "image_1": "Perception/paired/5914e128-6229-47ca-9f22-62fe25d56bd0_0.png", "image_2": "Perception/paired/5914e128-6229-47ca-9f22-62fe25d56bd0_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.haze\nB.blur\nC.No distortion\nD.dead pixel", "answer": "B"}
{"id": "3620b895-8da3-4fb4-9e33-df29b2aeebac", "image_1": "Perception/paired/3620b895-8da3-4fb4-9e33-df29b2aeebac_0.png", "image_2": "Perception/paired/3620b895-8da3-4fb4-9e33-df29b2aeebac_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.noise\nB.blur\nC.missing tiles\nD.cloud", "answer": "B"}
{"id": "2ed941d5-b024-4095-9f15-70e06597b592", "image_1": "Perception/paired/2ed941d5-b024-4095-9f15-70e06597b592_0.png", "image_2": "Perception/paired/2ed941d5-b024-4095-9f15-70e06597b592_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.noise\nB.missing tiles\nC.blur\nD.image compression", "answer": "C"}
{"id": "c958c71f-ab3f-49c8-920a-66b633fa9e0f", "image_1": "Perception/paired/c958c71f-ab3f-49c8-920a-66b633fa9e0f_0.png", "image_2": "Perception/paired/c958c71f-ab3f-49c8-920a-66b633fa9e0f_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.noise\nB.blur\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "c1875835-afab-4c08-97e8-8959b5129b74", "image_1": "Perception/paired/c1875835-afab-4c08-97e8-8959b5129b74_0.png", "image_2": "Perception/paired/c1875835-afab-4c08-97e8-8959b5129b74_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.image compression\nB.image stretching\nC.No distortion\nD.blur", "answer": "D"}
{"id": "30c79d74-1eb1-4024-9ac1-5af1b21cf317", "image_1": "Perception/paired/30c79d74-1eb1-4024-9ac1-5af1b21cf317_0.png", "image_2": "Perception/paired/30c79d74-1eb1-4024-9ac1-5af1b21cf317_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.missing tiles\nC.dead pixel\nD.blur", "answer": "D"}
{"id": "2d84e5dc-a3e7-45ae-8d54-ab0f5658d922", "image_1": "Perception/paired/2d84e5dc-a3e7-45ae-8d54-ab0f5658d922_0.png", "image_2": "Perception/paired/2d84e5dc-a3e7-45ae-8d54-ab0f5658d922_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.noise\nC.blur\nD.missing tiles", "answer": "C"}
{"id": "848ecc4b-91da-43ef-b000-aecbce63e27e", "image_1": "Perception/paired/848ecc4b-91da-43ef-b000-aecbce63e27e_0.png", "image_2": "Perception/paired/848ecc4b-91da-43ef-b000-aecbce63e27e_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.blur\nB.haze\nC.noise\nD.image stretching", "answer": "A"}
{"id": "a0dd0a28-db87-4275-8a23-12402f8e4223", "image_1": "Perception/paired/a0dd0a28-db87-4275-8a23-12402f8e4223_0.png", "image_2": "Perception/paired/a0dd0a28-db87-4275-8a23-12402f8e4223_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.dead pixel\nB.blur\nC.No distortion\nD.missing tiles", "answer": "B"}
{"id": "fe0a1d68-3e5f-49b2-bdd1-24766a92d236", "image_1": "Perception/paired/fe0a1d68-3e5f-49b2-bdd1-24766a92d236_0.png", "image_2": "Perception/paired/fe0a1d68-3e5f-49b2-bdd1-24766a92d236_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.missing tiles\nC.No distortion\nD.image stretching", "answer": "C"}
{"id": "79cba3b2-be90-4665-bb80-2c1ec31f75a8", "image_1": "Perception/paired/79cba3b2-be90-4665-bb80-2c1ec31f75a8_0.png", "image_2": "Perception/paired/79cba3b2-be90-4665-bb80-2c1ec31f75a8_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.image stretching\nC.dead pixel\nD.blur", "answer": "D"}
{"id": "762d5c0f-17dd-40f3-a34b-686be67c4943", "image_1": "Perception/paired/762d5c0f-17dd-40f3-a34b-686be67c4943_0.png", "image_2": "Perception/paired/762d5c0f-17dd-40f3-a34b-686be67c4943_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.image stretching\nC.blur\nD.haze", "answer": "C"}
{"id": "9f76092f-5667-4569-94e2-4c798cff8d11", "image_1": "Perception/paired/9f76092f-5667-4569-94e2-4c798cff8d11_0.png", "image_2": "Perception/paired/9f76092f-5667-4569-94e2-4c798cff8d11_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.blur\nB.image compression\nC.image stretching\nD.haze", "answer": "A"}
{"id": "65a96d72-8513-44b2-b623-6e28030bb183", "image_1": "Perception/paired/65a96d72-8513-44b2-b623-6e28030bb183_0.png", "image_2": "Perception/paired/65a96d72-8513-44b2-b623-6e28030bb183_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.image stretching\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "67e367d6-d1a9-47df-86b4-f5d870e0f7fb", "image_1": "Perception/paired/67e367d6-d1a9-47df-86b4-f5d870e0f7fb_0.png", "image_2": "Perception/paired/67e367d6-d1a9-47df-86b4-f5d870e0f7fb_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.color distortion\nB.haze\nC.missing tiles\nD.blur", "answer": "D"}
{"id": "0bfa3c39-eae8-4842-8e2f-e13360fec0f8", "image_1": "Perception/paired/0bfa3c39-eae8-4842-8e2f-e13360fec0f8_0.png", "image_2": "Perception/paired/0bfa3c39-eae8-4842-8e2f-e13360fec0f8_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.color distortion\nC.missing tiles\nD.image compression", "answer": "A"}
{"id": "264a5a23-170a-4df8-bdb3-0cf2981d99ca", "image_1": "Perception/paired/264a5a23-170a-4df8-bdb3-0cf2981d99ca_0.png", "image_2": "Perception/paired/264a5a23-170a-4df8-bdb3-0cf2981d99ca_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.blur\nC.haze\nD.No distortion", "answer": "B"}
{"id": "0838d89e-52e7-48d4-a9ae-1bf7363a871a", "image_1": "Perception/paired/0838d89e-52e7-48d4-a9ae-1bf7363a871a_0.png", "image_2": "Perception/paired/0838d89e-52e7-48d4-a9ae-1bf7363a871a_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image compression\nC.color distortion\nD.blur", "answer": "A"}
{"id": "689dc716-f613-488f-a3f3-7436243e45f7", "image_1": "Perception/paired/689dc716-f613-488f-a3f3-7436243e45f7_0.png", "image_2": "Perception/paired/689dc716-f613-488f-a3f3-7436243e45f7_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.No distortion\nC.image compression\nD.noise", "answer": "B"}
{"id": "1f8c2b7b-86e0-49cf-b3a3-4caabed2bc65", "image_1": "Perception/paired/1f8c2b7b-86e0-49cf-b3a3-4caabed2bc65_0.png", "image_2": "Perception/paired/1f8c2b7b-86e0-49cf-b3a3-4caabed2bc65_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.No distortion\nB.cloud\nC.noise\nD.image compression", "answer": "A"}
{"id": "460e89de-f337-4f2e-98b5-4b70d80a23e3", "image_1": "Perception/paired/460e89de-f337-4f2e-98b5-4b70d80a23e3_0.png", "image_2": "Perception/paired/460e89de-f337-4f2e-98b5-4b70d80a23e3_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image compression\nB.image stretching\nC.haze\nD.No distortion", "answer": "D"}
{"id": "2788aa08-1344-4bda-a0f2-8cd0b6c3b0a4", "image_1": "Perception/paired/2788aa08-1344-4bda-a0f2-8cd0b6c3b0a4_0.png", "image_2": "Perception/paired/2788aa08-1344-4bda-a0f2-8cd0b6c3b0a4_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.No distortion\nC.blur\nD.cloud", "answer": "C"}
{"id": "b62dbb61-3e88-4e08-8016-e4ede36a1f1c", "image_1": "Perception/paired/b62dbb61-3e88-4e08-8016-e4ede36a1f1c_0.png", "image_2": "Perception/paired/b62dbb61-3e88-4e08-8016-e4ede36a1f1c_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.noise\nC.blur\nD.dead pixel", "answer": "C"}
{"id": "21c776bb-06ca-4985-bce9-6be5264d7a63", "image_1": "Perception/paired/21c776bb-06ca-4985-bce9-6be5264d7a63_0.png", "image_2": "Perception/paired/21c776bb-06ca-4985-bce9-6be5264d7a63_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.blur\nB.No distortion\nC.haze\nD.color distortion", "answer": "A"}
{"id": "264c0487-c401-4232-aedb-6aaccbaf774a", "image_1": "Perception/paired/264c0487-c401-4232-aedb-6aaccbaf774a_0.png", "image_2": "Perception/paired/264c0487-c401-4232-aedb-6aaccbaf774a_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.dead pixel\nC.image compression\nD.image stretching", "answer": "A"}
{"id": "41b6b5d1-f96e-4fc5-9c11-4831b7687e9b", "image_1": "Perception/paired/41b6b5d1-f96e-4fc5-9c11-4831b7687e9b_0.png", "image_2": "Perception/paired/41b6b5d1-f96e-4fc5-9c11-4831b7687e9b_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.blur\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "6110223a-406a-4327-a3e6-555a950dfe6e", "image_1": "Perception/paired/6110223a-406a-4327-a3e6-555a950dfe6e_0.png", "image_2": "Perception/paired/6110223a-406a-4327-a3e6-555a950dfe6e_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.color distortion\nB.No distortion\nC.blur\nD.missing tiles", "answer": "C"}
{"id": "4f29252c-c09a-4cd2-a0bc-e30377396174", "image_1": "Perception/paired/4f29252c-c09a-4cd2-a0bc-e30377396174_0.png", "image_2": "Perception/paired/4f29252c-c09a-4cd2-a0bc-e30377396174_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.blur\nB.No distortion\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "97644b48-bcd4-4aa1-81d1-b1686baafed4", "image_1": "Perception/paired/97644b48-bcd4-4aa1-81d1-b1686baafed4_0.png", "image_2": "Perception/paired/97644b48-bcd4-4aa1-81d1-b1686baafed4_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.missing tiles\nB.color distortion\nC.blur\nD.No distortion", "answer": "C"}
{"id": "a2fcf126-f610-4a15-95f0-889ecef52bce", "image_1": "Perception/paired/a2fcf126-f610-4a15-95f0-889ecef52bce_0.png", "image_2": "Perception/paired/a2fcf126-f610-4a15-95f0-889ecef52bce_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.blur\nC.noise\nD.image stretching", "answer": "B"}
{"id": "bd2ec5dd-6b49-4b40-bcda-1a6ddd93a424", "image_1": "Perception/paired/bd2ec5dd-6b49-4b40-bcda-1a6ddd93a424_0.png", "image_2": "Perception/paired/bd2ec5dd-6b49-4b40-bcda-1a6ddd93a424_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.missing tiles\nC.No distortion\nD.blur", "answer": "D"}
{"id": "e82e98bc-2f7d-4a8c-a681-8ea737d82a0e", "image_1": "Perception/paired/e82e98bc-2f7d-4a8c-a681-8ea737d82a0e_0.png", "image_2": "Perception/paired/e82e98bc-2f7d-4a8c-a681-8ea737d82a0e_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.color distortion\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "efb74038-56e8-45f5-81f3-25c9653ae272", "image_1": "Perception/paired/efb74038-56e8-45f5-81f3-25c9653ae272_0.png", "image_2": "Perception/paired/efb74038-56e8-45f5-81f3-25c9653ae272_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.blur\nB.No distortion\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "a49da084-4d2d-49a3-95ff-8879ad79e1fc", "image_1": "Perception/paired/a49da084-4d2d-49a3-95ff-8879ad79e1fc_0.png", "image_2": "Perception/paired/a49da084-4d2d-49a3-95ff-8879ad79e1fc_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "a05b5784-de3c-44e0-875c-8d2791f675cb", "image_1": "Perception/paired/a05b5784-de3c-44e0-875c-8d2791f675cb_0.png", "image_2": "Perception/paired/a05b5784-de3c-44e0-875c-8d2791f675cb_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.blur\nC.haze\nD.No distortion", "answer": "B"}
{"id": "a3955e43-d76b-44e9-8c70-2de8e5f56070", "image_1": "Perception/paired/a3955e43-d76b-44e9-8c70-2de8e5f56070_0.png", "image_2": "Perception/paired/a3955e43-d76b-44e9-8c70-2de8e5f56070_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.No distortion\nC.noise\nD.blur", "answer": "D"}
{"id": "2c8fe500-c777-479d-bf41-f3fd21e679a2", "image_1": "Perception/paired/2c8fe500-c777-479d-bf41-f3fd21e679a2_0.png", "image_2": "Perception/paired/2c8fe500-c777-479d-bf41-f3fd21e679a2_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.cloud\nC.No distortion\nD.blur", "answer": "C"}
{"id": "4a5f8b62-4014-4a81-a362-5cabd36a8610", "image_1": "Perception/paired/4a5f8b62-4014-4a81-a362-5cabd36a8610_0.png", "image_2": "Perception/paired/4a5f8b62-4014-4a81-a362-5cabd36a8610_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.cloud\nB.dead pixel\nC.blur\nD.color distortion", "answer": "C"}
{"id": "6fdc3af0-2cfc-4ecc-86d6-51996404afd8", "image_1": "Perception/paired/6fdc3af0-2cfc-4ecc-86d6-51996404afd8_0.png", "image_2": "Perception/paired/6fdc3af0-2cfc-4ecc-86d6-51996404afd8_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.No distortion\nC.color distortion\nD.cloud", "answer": "B"}
{"id": "9ac5bb7a-d0f5-4948-a766-b266fa6338a2", "image_1": "Perception/paired/9ac5bb7a-d0f5-4948-a766-b266fa6338a2_0.png", "image_2": "Perception/paired/9ac5bb7a-d0f5-4948-a766-b266fa6338a2_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.haze\nC.blur\nD.color distortion", "answer": "C"}
{"id": "ca96086e-60ea-456c-974d-557249d61557", "image_1": "Perception/paired/ca96086e-60ea-456c-974d-557249d61557_0.png", "image_2": "Perception/paired/ca96086e-60ea-456c-974d-557249d61557_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.cloud\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "2687d167-9139-4e39-8fa0-7953a51bab1b", "image_1": "Perception/paired/2687d167-9139-4e39-8fa0-7953a51bab1b_0.png", "image_2": "Perception/paired/2687d167-9139-4e39-8fa0-7953a51bab1b_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.No distortion\nC.noise\nD.blur", "answer": "D"}
{"id": "8c21f9fe-41cc-4def-8d7b-8c18a0b0168b", "image_1": "Perception/paired/8c21f9fe-41cc-4def-8d7b-8c18a0b0168b_0.png", "image_2": "Perception/paired/8c21f9fe-41cc-4def-8d7b-8c18a0b0168b_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.blur\nC.cloud\nD.noise", "answer": "B"}
{"id": "6c7e9239-744f-4cbd-9d2d-d5aa80545a32", "image_1": "Perception/paired/6c7e9239-744f-4cbd-9d2d-d5aa80545a32_0.png", "image_2": "Perception/paired/6c7e9239-744f-4cbd-9d2d-d5aa80545a32_1.png", "question": "Identify the main distortion introduced between the two images.\nA.cloud\nB.image compression\nC.image stretching\nD.blur", "answer": "D"}
{"id": "37061bbe-e503-46fd-b65a-ea0cf98391ee", "image_1": "Perception/paired/37061bbe-e503-46fd-b65a-ea0cf98391ee_0.png", "image_2": "Perception/paired/37061bbe-e503-46fd-b65a-ea0cf98391ee_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.missing tiles\nB.color distortion\nC.blur\nD.haze", "answer": "C"}
{"id": "f1314384-32ca-4429-925e-3cf4cdfbeda9", "image_1": "Perception/paired/f1314384-32ca-4429-925e-3cf4cdfbeda9_0.png", "image_2": "Perception/paired/f1314384-32ca-4429-925e-3cf4cdfbeda9_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.missing tiles\nB.cloud\nC.image stretching\nD.blur", "answer": "D"}
{"id": "d9b1a2b9-c06e-4f12-9fdc-fa33b57f7df5", "image_1": "Perception/paired/d9b1a2b9-c06e-4f12-9fdc-fa33b57f7df5_0.png", "image_2": "Perception/paired/d9b1a2b9-c06e-4f12-9fdc-fa33b57f7df5_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.missing tiles\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "C"}
{"id": "1a128d52-4c9d-4c57-b05b-2f3105ebb1ee", "image_1": "Perception/paired/1a128d52-4c9d-4c57-b05b-2f3105ebb1ee_0.png", "image_2": "Perception/paired/1a128d52-4c9d-4c57-b05b-2f3105ebb1ee_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.blur\nC.haze\nD.No distortion", "answer": "B"}
{"id": "3124d5d2-baeb-472b-844c-fe941cadc8be", "image_1": "Perception/paired/3124d5d2-baeb-472b-844c-fe941cadc8be_0.png", "image_2": "Perception/paired/3124d5d2-baeb-472b-844c-fe941cadc8be_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.blur\nC.image stretching\nD.No distortion", "answer": "B"}
{"id": "57e1b17a-4f00-4cc2-8804-b97600311125", "image_1": "Perception/paired/57e1b17a-4f00-4cc2-8804-b97600311125_0.png", "image_2": "Perception/paired/57e1b17a-4f00-4cc2-8804-b97600311125_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.No distortion\nB.noise\nC.blur\nD.haze", "answer": "C"}
{"id": "2f8e88d0-d54e-4a34-80f1-e3b143e39726", "image_1": "Perception/paired/2f8e88d0-d54e-4a34-80f1-e3b143e39726_0.png", "image_2": "Perception/paired/2f8e88d0-d54e-4a34-80f1-e3b143e39726_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.blur\nB.image stretching\nC.haze\nD.cloud", "answer": "A"}
{"id": "1ed5e6ef-4f4b-46e2-8a4f-0be3b60a54bc", "image_1": "Perception/paired/1ed5e6ef-4f4b-46e2-8a4f-0be3b60a54bc_0.png", "image_2": "Perception/paired/1ed5e6ef-4f4b-46e2-8a4f-0be3b60a54bc_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.dead pixel\nB.noise\nC.blur\nD.image compression", "answer": "C"}
{"id": "827b72f0-1581-406f-87db-bfd8c213a8df", "image_1": "Perception/paired/827b72f0-1581-406f-87db-bfd8c213a8df_0.png", "image_2": "Perception/paired/827b72f0-1581-406f-87db-bfd8c213a8df_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.cloud\nB.color distortion\nC.blur\nD.haze", "answer": "C"}
{"id": "9de782fc-67bb-4060-bb48-3959e7d2741e", "image_1": "Perception/paired/9de782fc-67bb-4060-bb48-3959e7d2741e_0.png", "image_2": "Perception/paired/9de782fc-67bb-4060-bb48-3959e7d2741e_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.blur\nC.image compression\nD.No distortion", "answer": "B"}
{"id": "ad24902f-f08d-4c16-b6b0-6154284bd41b", "image_1": "Perception/paired/ad24902f-f08d-4c16-b6b0-6154284bd41b_0.png", "image_2": "Perception/paired/ad24902f-f08d-4c16-b6b0-6154284bd41b_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.image stretching\nB.image compression\nC.blur\nD.noise", "answer": "C"}
{"id": "4ae8d395-a585-4ea6-b6fc-95992145cedb", "image_1": "Perception/paired/4ae8d395-a585-4ea6-b6fc-95992145cedb_0.png", "image_2": "Perception/paired/4ae8d395-a585-4ea6-b6fc-95992145cedb_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.haze\nB.image stretching\nC.cloud\nD.blur", "answer": "D"}
{"id": "5f627be6-2ae9-41ce-ab7b-132147b7ebff", "image_1": "Perception/paired/5f627be6-2ae9-41ce-ab7b-132147b7ebff_0.png", "image_2": "Perception/paired/5f627be6-2ae9-41ce-ab7b-132147b7ebff_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.blur\nC.noise\nD.No distortion", "answer": "B"}
{"id": "c9707ea1-3ac6-4e6e-8d86-49495d01f447", "image_1": "Perception/paired/c9707ea1-3ac6-4e6e-8d86-49495d01f447_0.png", "image_2": "Perception/paired/c9707ea1-3ac6-4e6e-8d86-49495d01f447_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.No distortion\nB.blur\nC.dead pixel\nD.color distortion", "answer": "B"}
{"id": "338f981b-ce1e-49a4-89fb-709026f1d123", "image_1": "Perception/paired/338f981b-ce1e-49a4-89fb-709026f1d123_0.png", "image_2": "Perception/paired/338f981b-ce1e-49a4-89fb-709026f1d123_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.cloud\nB.No distortion\nC.image stretching\nD.blur", "answer": "D"}
{"id": "b5ab6c85-3852-409a-bbed-97694c9bfa98", "image_1": "Perception/paired/b5ab6c85-3852-409a-bbed-97694c9bfa98_0.png", "image_2": "Perception/paired/b5ab6c85-3852-409a-bbed-97694c9bfa98_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.color distortion\nB.No distortion\nC.noise\nD.blur", "answer": "D"}
{"id": "624c825a-7319-4cbc-a926-4942a8d28c88", "image_1": "Perception/paired/624c825a-7319-4cbc-a926-4942a8d28c88_0.png", "image_2": "Perception/paired/624c825a-7319-4cbc-a926-4942a8d28c88_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.blur\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "d8ced22f-ced5-4be9-afaa-8f724e3bdd84", "image_1": "Perception/paired/d8ced22f-ced5-4be9-afaa-8f724e3bdd84_0.png", "image_2": "Perception/paired/d8ced22f-ced5-4be9-afaa-8f724e3bdd84_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.noise\nB.color distortion\nC.blur\nD.dead pixel", "answer": "C"}
{"id": "3b9d4d4f-a9e4-4bda-88ee-245a6d4e3f86", "image_1": "Perception/paired/3b9d4d4f-a9e4-4bda-88ee-245a6d4e3f86_0.png", "image_2": "Perception/paired/3b9d4d4f-a9e4-4bda-88ee-245a6d4e3f86_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.No distortion\nB.blur\nC.noise\nD.cloud", "answer": "B"}
{"id": "3a06570d-17c2-4841-adea-eb7fa95c8176", "image_1": "Perception/paired/3a06570d-17c2-4841-adea-eb7fa95c8176_0.png", "image_2": "Perception/paired/3a06570d-17c2-4841-adea-eb7fa95c8176_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.haze\nB.blur\nC.color distortion\nD.image compression", "answer": "B"}
{"id": "5ddeafe9-0283-43b8-85f6-425456d737b1", "image_1": "Perception/paired/5ddeafe9-0283-43b8-85f6-425456d737b1_0.png", "image_2": "Perception/paired/5ddeafe9-0283-43b8-85f6-425456d737b1_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.missing tiles\nC.No distortion\nD.image stretching", "answer": "C"}
{"id": "78ddb1d3-0715-406a-b3af-2c8156ad0c5c", "image_1": "Perception/paired/78ddb1d3-0715-406a-b3af-2c8156ad0c5c_0.png", "image_2": "Perception/paired/78ddb1d3-0715-406a-b3af-2c8156ad0c5c_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.image stretching\nC.dead pixel\nD.haze", "answer": "D"}
{"id": "93041a25-fb77-4720-bfbe-93cf7f48520b", "image_1": "Perception/paired/93041a25-fb77-4720-bfbe-93cf7f48520b_0.png", "image_2": "Perception/paired/93041a25-fb77-4720-bfbe-93cf7f48520b_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.blur\nB.image stretching\nC.haze\nD.missing tiles", "answer": "C"}
{"id": "0dad6633-882a-4642-9bd2-33bbe22bf840", "image_1": "Perception/paired/0dad6633-882a-4642-9bd2-33bbe22bf840_0.png", "image_2": "Perception/paired/0dad6633-882a-4642-9bd2-33bbe22bf840_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.No distortion\nB.blur\nC.image stretching\nD.haze", "answer": "A"}
{"id": "86025b56-e8ea-4713-8656-d19aa3728134", "image_1": "Perception/paired/86025b56-e8ea-4713-8656-d19aa3728134_0.png", "image_2": "Perception/paired/86025b56-e8ea-4713-8656-d19aa3728134_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.image stretching\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "879e6685-f293-4b60-ba88-d80f280a2b5d", "image_1": "Perception/paired/879e6685-f293-4b60-ba88-d80f280a2b5d_0.png", "image_2": "Perception/paired/879e6685-f293-4b60-ba88-d80f280a2b5d_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.color distortion\nB.missing tiles\nC.cloud\nD.haze", "answer": "D"}
{"id": "afe73a80-8233-4955-9183-ebc6510019ce", "image_1": "Perception/paired/afe73a80-8233-4955-9183-ebc6510019ce_0.png", "image_2": "Perception/paired/afe73a80-8233-4955-9183-ebc6510019ce_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.color distortion\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "33ec1d94-81a1-471f-88ad-ab14bcb89a49", "image_1": "Perception/paired/33ec1d94-81a1-471f-88ad-ab14bcb89a49_0.png", "image_2": "Perception/paired/33ec1d94-81a1-471f-88ad-ab14bcb89a49_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.haze\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "94a63be0-301a-4973-9090-0abff03672d6", "image_1": "Perception/paired/94a63be0-301a-4973-9090-0abff03672d6_0.png", "image_2": "Perception/paired/94a63be0-301a-4973-9090-0abff03672d6_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.haze\nB.No distortion\nC.color distortion\nD.image compression", "answer": "A"}
{"id": "17429805-0607-44b9-b25e-ff5d9c52be8b", "image_1": "Perception/paired/17429805-0607-44b9-b25e-ff5d9c52be8b_0.png", "image_2": "Perception/paired/17429805-0607-44b9-b25e-ff5d9c52be8b_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.haze\nC.No distortion\nD.noise", "answer": "B"}
{"id": "ef002bdc-b8f5-41d1-a26f-ad024cae89fd", "image_1": "Perception/paired/ef002bdc-b8f5-41d1-a26f-ad024cae89fd_0.png", "image_2": "Perception/paired/ef002bdc-b8f5-41d1-a26f-ad024cae89fd_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.No distortion\nB.cloud\nC.noise\nD.image compression", "answer": "A"}
{"id": "9f4d14a6-c24f-422b-a437-63348bd1182e", "image_1": "Perception/paired/9f4d14a6-c24f-422b-a437-63348bd1182e_0.png", "image_2": "Perception/paired/9f4d14a6-c24f-422b-a437-63348bd1182e_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image compression\nB.image stretching\nC.haze\nD.No distortion", "answer": "D"}
{"id": "9efe6c2a-fe15-490b-8d5d-951782a2f596", "image_1": "Perception/paired/9efe6c2a-fe15-490b-8d5d-951782a2f596_0.png", "image_2": "Perception/paired/9efe6c2a-fe15-490b-8d5d-951782a2f596_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.image compression\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "23dcfa16-ca41-47c6-add0-02e5759c472c", "image_1": "Perception/paired/23dcfa16-ca41-47c6-add0-02e5759c472c_0.png", "image_2": "Perception/paired/23dcfa16-ca41-47c6-add0-02e5759c472c_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.noise\nC.haze\nD.dead pixel", "answer": "C"}
{"id": "264cdff9-f40c-4984-bba8-062d0e2b9f79", "image_1": "Perception/paired/264cdff9-f40c-4984-bba8-062d0e2b9f79_0.png", "image_2": "Perception/paired/264cdff9-f40c-4984-bba8-062d0e2b9f79_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.haze\nB.No distortion\nC.missing tiles\nD.color distortion", "answer": "A"}
{"id": "3b7385bd-308c-4343-8b46-cab77f0127bb", "image_1": "Perception/paired/3b7385bd-308c-4343-8b46-cab77f0127bb_0.png", "image_2": "Perception/paired/3b7385bd-308c-4343-8b46-cab77f0127bb_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.haze\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "A"}
{"id": "05c36aec-34e3-4c70-adf2-af1d36a60044", "image_1": "Perception/paired/05c36aec-34e3-4c70-adf2-af1d36a60044_0.png", "image_2": "Perception/paired/05c36aec-34e3-4c70-adf2-af1d36a60044_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.haze\nB.color distortion\nC.noise\nD.cloud", "answer": "A"}
{"id": "f12440e3-790b-4aa5-8aab-a9caba3ec61d", "image_1": "Perception/paired/f12440e3-790b-4aa5-8aab-a9caba3ec61d_0.png", "image_2": "Perception/paired/f12440e3-790b-4aa5-8aab-a9caba3ec61d_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.color distortion\nB.image compression\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "00ff58aa-cb0d-46e0-bd3a-08f1ce977792", "image_1": "Perception/paired/00ff58aa-cb0d-46e0-bd3a-08f1ce977792_0.png", "image_2": "Perception/paired/00ff58aa-cb0d-46e0-bd3a-08f1ce977792_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image compression\nB.haze\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "d38eb7a4-44b6-4a1b-b2e4-28c823225b69", "image_1": "Perception/paired/d38eb7a4-44b6-4a1b-b2e4-28c823225b69_0.png", "image_2": "Perception/paired/d38eb7a4-44b6-4a1b-b2e4-28c823225b69_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.color distortion\nC.haze\nD.No distortion", "answer": "C"}
{"id": "165836f5-3e62-43ae-8d5d-c0ea605a368a", "image_1": "Perception/paired/165836f5-3e62-43ae-8d5d-c0ea605a368a_0.png", "image_2": "Perception/paired/165836f5-3e62-43ae-8d5d-c0ea605a368a_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.No distortion\nC.noise\nD.image stretching", "answer": "B"}
{"id": "f0c4e8ac-fc4e-40f1-b946-2f1242e99338", "image_1": "Perception/paired/f0c4e8ac-fc4e-40f1-b946-2f1242e99338_0.png", "image_2": "Perception/paired/f0c4e8ac-fc4e-40f1-b946-2f1242e99338_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.cloud\nC.No distortion\nD.haze", "answer": "D"}
{"id": "82174ec1-3324-452e-a2fc-452640477cdd", "image_1": "Perception/paired/82174ec1-3324-452e-a2fc-452640477cdd_0.png", "image_2": "Perception/paired/82174ec1-3324-452e-a2fc-452640477cdd_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.color distortion\nC.haze\nD.dead pixel", "answer": "C"}
{"id": "33a615e7-b647-4db6-973c-7ef6e711e77e", "image_1": "Perception/paired/33a615e7-b647-4db6-973c-7ef6e711e77e_0.png", "image_2": "Perception/paired/33a615e7-b647-4db6-973c-7ef6e711e77e_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.No distortion\nC.color distortion\nD.cloud", "answer": "A"}
{"id": "dfbc2775-b0a5-4ae7-9d52-b8359df4ca3d", "image_1": "Perception/paired/dfbc2775-b0a5-4ae7-9d52-b8359df4ca3d_0.png", "image_2": "Perception/paired/dfbc2775-b0a5-4ae7-9d52-b8359df4ca3d_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "fc71f707-3360-468c-b066-e09014772ef7", "image_1": "Perception/paired/fc71f707-3360-468c-b066-e09014772ef7_0.png", "image_2": "Perception/paired/fc71f707-3360-468c-b066-e09014772ef7_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.haze\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "e8ebc8a4-e183-4df4-b167-57688cff1595", "image_1": "Perception/paired/e8ebc8a4-e183-4df4-b167-57688cff1595_0.png", "image_2": "Perception/paired/e8ebc8a4-e183-4df4-b167-57688cff1595_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "c56cf945-fe86-4aa9-a906-b91a8edcfeba", "image_1": "Perception/paired/c56cf945-fe86-4aa9-a906-b91a8edcfeba_0.png", "image_2": "Perception/paired/c56cf945-fe86-4aa9-a906-b91a8edcfeba_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.blur\nC.haze\nD.image compression", "answer": "C"}
{"id": "07f511bd-d929-46b2-93a5-8b1b56fc7986", "image_1": "Perception/paired/07f511bd-d929-46b2-93a5-8b1b56fc7986_0.png", "image_2": "Perception/paired/07f511bd-d929-46b2-93a5-8b1b56fc7986_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.cloud\nB.dead pixel\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "d54033bb-391f-499f-bd5e-7669d06ab870", "image_1": "Perception/paired/d54033bb-391f-499f-bd5e-7669d06ab870_0.png", "image_2": "Perception/paired/d54033bb-391f-499f-bd5e-7669d06ab870_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.haze\nC.color distortion\nD.blur", "answer": "B"}
{"id": "fc8180a5-d878-4230-839e-e8baa50a162b", "image_1": "Perception/paired/fc8180a5-d878-4230-839e-e8baa50a162b_0.png", "image_2": "Perception/paired/fc8180a5-d878-4230-839e-e8baa50a162b_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.missing tiles\nC.haze\nD.color distortion", "answer": "C"}
{"id": "18ded805-a557-4e16-b0f8-66d186016dc2", "image_1": "Perception/paired/18ded805-a557-4e16-b0f8-66d186016dc2_0.png", "image_2": "Perception/paired/18ded805-a557-4e16-b0f8-66d186016dc2_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.blur\nC.haze\nD.No distortion", "answer": "C"}
{"id": "8695fa5c-3835-4db5-8cd0-d22ba7c52fa9", "image_1": "Perception/paired/8695fa5c-3835-4db5-8cd0-d22ba7c52fa9_0.png", "image_2": "Perception/paired/8695fa5c-3835-4db5-8cd0-d22ba7c52fa9_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "b5bb5f3c-72a1-4022-858c-03c764b05f5a", "image_1": "Perception/paired/b5bb5f3c-72a1-4022-858c-03c764b05f5a_0.png", "image_2": "Perception/paired/b5bb5f3c-72a1-4022-858c-03c764b05f5a_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.haze\nC.blur\nD.noise", "answer": "B"}
{"id": "6b9836c2-0181-499d-9fa0-e6c8f67a5b50", "image_1": "Perception/paired/6b9836c2-0181-499d-9fa0-e6c8f67a5b50_0.png", "image_2": "Perception/paired/6b9836c2-0181-499d-9fa0-e6c8f67a5b50_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.image compression\nC.image stretching\nD.haze", "answer": "D"}
{"id": "26bc6b66-afbe-4ac6-9bff-fcb81d1e59af", "image_1": "Perception/paired/26bc6b66-afbe-4ac6-9bff-fcb81d1e59af_0.png", "image_2": "Perception/paired/26bc6b66-afbe-4ac6-9bff-fcb81d1e59af_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.color distortion\nC.haze\nD.missing tiles", "answer": "C"}
{"id": "9e8984ee-08c6-4af4-9850-e68b8caf8d32", "image_1": "Perception/paired/9e8984ee-08c6-4af4-9850-e68b8caf8d32_0.png", "image_2": "Perception/paired/9e8984ee-08c6-4af4-9850-e68b8caf8d32_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.cloud\nB.blur\nC.image stretching\nD.haze", "answer": "D"}
{"id": "6f7cf43d-8cb6-42fb-96ea-ff24b2e869af", "image_1": "Perception/paired/6f7cf43d-8cb6-42fb-96ea-ff24b2e869af_0.png", "image_2": "Perception/paired/6f7cf43d-8cb6-42fb-96ea-ff24b2e869af_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.cloud\nB.dead pixel\nC.haze\nD.image stretching", "answer": "C"}
{"id": "1ba8c56e-bf60-4eb1-bb6a-c6c9e6a747fc", "image_1": "Perception/paired/1ba8c56e-bf60-4eb1-bb6a-c6c9e6a747fc_0.png", "image_2": "Perception/paired/1ba8c56e-bf60-4eb1-bb6a-c6c9e6a747fc_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "ac2427b7-50f4-4bf4-a4c8-34db8b44c010", "image_1": "Perception/paired/ac2427b7-50f4-4bf4-a4c8-34db8b44c010_0.png", "image_2": "Perception/paired/ac2427b7-50f4-4bf4-a4c8-34db8b44c010_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.No distortion\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "9febd296-db6b-4427-bec2-93afad2f1660", "image_1": "Perception/paired/9febd296-db6b-4427-bec2-93afad2f1660_0.png", "image_2": "Perception/paired/9febd296-db6b-4427-bec2-93afad2f1660_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.haze\nC.blur\nD.image stretching", "answer": "B"}
{"id": "22ffc9af-e633-4957-856d-5dd97305fdb2", "image_1": "Perception/paired/22ffc9af-e633-4957-856d-5dd97305fdb2_0.png", "image_2": "Perception/paired/22ffc9af-e633-4957-856d-5dd97305fdb2_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.blur\nB.image compression\nC.color distortion\nD.haze", "answer": "D"}
{"id": "36e06266-b4ca-47a2-a28f-54503511f2c4", "image_1": "Perception/paired/36e06266-b4ca-47a2-a28f-54503511f2c4_0.png", "image_2": "Perception/paired/36e06266-b4ca-47a2-a28f-54503511f2c4_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.haze\nB.color distortion\nC.image stretching\nD.No distortion", "answer": "A"}
{"id": "c20dbfa6-47c9-4e1f-98fe-fbf0c12ef2cb", "image_1": "Perception/paired/c20dbfa6-47c9-4e1f-98fe-fbf0c12ef2cb_0.png", "image_2": "Perception/paired/c20dbfa6-47c9-4e1f-98fe-fbf0c12ef2cb_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.image compression\nC.color distortion\nD.blur", "answer": "A"}
{"id": "97cc405b-0407-43c9-80bd-4dfbcdee4e4d", "image_1": "Perception/paired/97cc405b-0407-43c9-80bd-4dfbcdee4e4d_0.png", "image_2": "Perception/paired/97cc405b-0407-43c9-80bd-4dfbcdee4e4d_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.haze\nC.No distortion\nD.image compression", "answer": "B"}
{"id": "52356995-300f-4ed4-845c-1ce165caf861", "image_1": "Perception/paired/52356995-300f-4ed4-845c-1ce165caf861_0.png", "image_2": "Perception/paired/52356995-300f-4ed4-845c-1ce165caf861_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.blur\nB.haze\nC.noise\nD.image compression", "answer": "B"}
{"id": "72b7dfcb-3d07-4ce5-8681-16f85532a3de", "image_1": "Perception/paired/72b7dfcb-3d07-4ce5-8681-16f85532a3de_0.png", "image_2": "Perception/paired/72b7dfcb-3d07-4ce5-8681-16f85532a3de_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.image stretching\nC.missing tiles\nD.dead pixel", "answer": "A"}
{"id": "c636364e-fa2d-49ed-8a4f-bb6bb7be4e62", "image_1": "Perception/paired/c636364e-fa2d-49ed-8a4f-bb6bb7be4e62_0.png", "image_2": "Perception/paired/c636364e-fa2d-49ed-8a4f-bb6bb7be4e62_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.missing tiles\nB.No distortion\nC.blur\nD.haze", "answer": "D"}
{"id": "0e9fd4a2-2c43-4c99-a08a-93dea9e2f5b8", "image_1": "Perception/paired/0e9fd4a2-2c43-4c99-a08a-93dea9e2f5b8_0.png", "image_2": "Perception/paired/0e9fd4a2-2c43-4c99-a08a-93dea9e2f5b8_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.missing tiles\nB.noise\nC.image compression\nD.haze", "answer": "D"}
{"id": "a4324a8e-7925-4525-a3ae-cd828c4587bc", "image_1": "Perception/paired/a4324a8e-7925-4525-a3ae-cd828c4587bc_0.png", "image_2": "Perception/paired/a4324a8e-7925-4525-a3ae-cd828c4587bc_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.haze\nB.cloud\nC.dead pixel\nD.No distortion", "answer": "A"}
{"id": "454d97b6-8bc1-4ee8-a2eb-540dfff5fd03", "image_1": "Perception/paired/454d97b6-8bc1-4ee8-a2eb-540dfff5fd03_0.png", "image_2": "Perception/paired/454d97b6-8bc1-4ee8-a2eb-540dfff5fd03_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.haze\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "64947d8b-e0a3-4744-a0d5-5b6c545d8a94", "image_1": "Perception/paired/64947d8b-e0a3-4744-a0d5-5b6c545d8a94_0.png", "image_2": "Perception/paired/64947d8b-e0a3-4744-a0d5-5b6c545d8a94_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.image compression\nB.missing tiles\nC.haze\nD.noise", "answer": "C"}
{"id": "3ac87b49-6744-4c62-a783-44367bb454b9", "image_1": "Perception/paired/3ac87b49-6744-4c62-a783-44367bb454b9_0.png", "image_2": "Perception/paired/3ac87b49-6744-4c62-a783-44367bb454b9_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.No distortion\nB.blur\nC.image compression\nD.haze", "answer": "D"}
{"id": "ac3f2dbd-49fa-4055-8d53-5d93f2a18e12", "image_1": "Perception/paired/ac3f2dbd-49fa-4055-8d53-5d93f2a18e12_0.png", "image_2": "Perception/paired/ac3f2dbd-49fa-4055-8d53-5d93f2a18e12_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.noise\nB.image stretching\nC.blur\nD.haze", "answer": "D"}
{"id": "2f72011a-0706-4ab5-b8fb-433f1fe02865", "image_1": "Perception/paired/2f72011a-0706-4ab5-b8fb-433f1fe02865_0.png", "image_2": "Perception/paired/2f72011a-0706-4ab5-b8fb-433f1fe02865_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.noise\nB.missing tiles\nC.haze\nD.cloud", "answer": "C"}
{"id": "5b4e9057-ecf0-4e6e-b3e2-23e3001666f0", "image_1": "Perception/paired/5b4e9057-ecf0-4e6e-b3e2-23e3001666f0_0.png", "image_2": "Perception/paired/5b4e9057-ecf0-4e6e-b3e2-23e3001666f0_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.missing tiles\nC.No distortion\nD.image stretching", "answer": "C"}
{"id": "7c8d9be9-e076-4959-a794-6ba8c44707e4", "image_1": "Perception/paired/7c8d9be9-e076-4959-a794-6ba8c44707e4_0.png", "image_2": "Perception/paired/7c8d9be9-e076-4959-a794-6ba8c44707e4_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.image stretching\nC.dead pixel\nD.cloud", "answer": "D"}
{"id": "55849630-3fc4-40d8-aeb7-95a2b19deba0", "image_1": "Perception/paired/55849630-3fc4-40d8-aeb7-95a2b19deba0_0.png", "image_2": "Perception/paired/55849630-3fc4-40d8-aeb7-95a2b19deba0_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.blur\nB.image stretching\nC.cloud\nD.haze", "answer": "C"}
{"id": "1a5ee6c2-bbe4-4554-b74f-ec66b21bea5d", "image_1": "Perception/paired/1a5ee6c2-bbe4-4554-b74f-ec66b21bea5d_0.png", "image_2": "Perception/paired/1a5ee6c2-bbe4-4554-b74f-ec66b21bea5d_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.cloud\nB.image compression\nC.image stretching\nD.haze", "answer": "A"}
{"id": "3b62bd0a-2e53-4116-8bd4-e6cf30d4076b", "image_1": "Perception/paired/3b62bd0a-2e53-4116-8bd4-e6cf30d4076b_0.png", "image_2": "Perception/paired/3b62bd0a-2e53-4116-8bd4-e6cf30d4076b_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.image stretching\nC.blur\nD.cloud", "answer": "D"}
{"id": "6204affb-b802-46cb-8ca5-0c30f27dc543", "image_1": "Perception/paired/6204affb-b802-46cb-8ca5-0c30f27dc543_0.png", "image_2": "Perception/paired/6204affb-b802-46cb-8ca5-0c30f27dc543_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.color distortion\nB.haze\nC.missing tiles\nD.No distortion", "answer": "D"}
{"id": "6d045882-e106-4c5a-aa43-9c2d3d03189e", "image_1": "Perception/paired/6d045882-e106-4c5a-aa43-9c2d3d03189e_0.png", "image_2": "Perception/paired/6d045882-e106-4c5a-aa43-9c2d3d03189e_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.color distortion\nC.missing tiles\nD.image compression", "answer": "A"}
{"id": "dba3d529-384c-4515-b004-fd4034ceda6e", "image_1": "Perception/paired/dba3d529-384c-4515-b004-fd4034ceda6e_0.png", "image_2": "Perception/paired/dba3d529-384c-4515-b004-fd4034ceda6e_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.cloud\nC.haze\nD.No distortion", "answer": "B"}
{"id": "a460be18-0791-4c79-9586-4fbef5095dea", "image_1": "Perception/paired/a460be18-0791-4c79-9586-4fbef5095dea_0.png", "image_2": "Perception/paired/a460be18-0791-4c79-9586-4fbef5095dea_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.No distortion\nC.color distortion\nD.image compression", "answer": "A"}
{"id": "02975d1c-8664-4ff6-bd01-1d6a461e528c", "image_1": "Perception/paired/02975d1c-8664-4ff6-bd01-1d6a461e528c_0.png", "image_2": "Perception/paired/02975d1c-8664-4ff6-bd01-1d6a461e528c_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.No distortion\nC.image compression\nD.noise", "answer": "B"}
{"id": "32b5c2d4-c8a2-4aee-8072-f2e060fd7be2", "image_1": "Perception/paired/32b5c2d4-c8a2-4aee-8072-f2e060fd7be2_0.png", "image_2": "Perception/paired/32b5c2d4-c8a2-4aee-8072-f2e060fd7be2_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.cloud\nB.blur\nC.noise\nD.No distortion", "answer": "A"}
{"id": "dac0033b-41f9-4114-a54d-a91c48268e9e", "image_1": "Perception/paired/dac0033b-41f9-4114-a54d-a91c48268e9e_0.png", "image_2": "Perception/paired/dac0033b-41f9-4114-a54d-a91c48268e9e_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image compression\nB.image stretching\nC.haze\nD.No distortion", "answer": "D"}
{"id": "c4313e02-6567-4468-9078-c9c0f8506e2c", "image_1": "Perception/paired/c4313e02-6567-4468-9078-c9c0f8506e2c_0.png", "image_2": "Perception/paired/c4313e02-6567-4468-9078-c9c0f8506e2c_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.image compression\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "665ea05e-5960-4493-b12f-443b116466be", "image_1": "Perception/paired/665ea05e-5960-4493-b12f-443b116466be_0.png", "image_2": "Perception/paired/665ea05e-5960-4493-b12f-443b116466be_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.noise\nC.cloud\nD.dead pixel", "answer": "C"}
{"id": "7e0b038e-f710-4acb-a7b8-122a16f207b5", "image_1": "Perception/paired/7e0b038e-f710-4acb-a7b8-122a16f207b5_0.png", "image_2": "Perception/paired/7e0b038e-f710-4acb-a7b8-122a16f207b5_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.cloud\nB.No distortion\nC.haze\nD.color distortion", "answer": "A"}
{"id": "5e1b1940-7553-4b81-86c6-d5e97ad7c19e", "image_1": "Perception/paired/5e1b1940-7553-4b81-86c6-d5e97ad7c19e_0.png", "image_2": "Perception/paired/5e1b1940-7553-4b81-86c6-d5e97ad7c19e_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.cloud\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "A"}
{"id": "e07817ac-ef87-4941-895d-7611c68e60ec", "image_1": "Perception/paired/e07817ac-ef87-4941-895d-7611c68e60ec_0.png", "image_2": "Perception/paired/e07817ac-ef87-4941-895d-7611c68e60ec_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.cloud\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "02895c43-09d0-4cac-923a-fde045acd0a9", "image_1": "Perception/paired/02895c43-09d0-4cac-923a-fde045acd0a9_0.png", "image_2": "Perception/paired/02895c43-09d0-4cac-923a-fde045acd0a9_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.color distortion\nB.No distortion\nC.cloud\nD.missing tiles", "answer": "C"}
{"id": "97cccc6b-c6e0-4839-9766-4fec659bfd94", "image_1": "Perception/paired/97cccc6b-c6e0-4839-9766-4fec659bfd94_0.png", "image_2": "Perception/paired/97cccc6b-c6e0-4839-9766-4fec659bfd94_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image compression\nB.cloud\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "4b28fd5d-9fc1-4ce3-92bb-e62743f336a0", "image_1": "Perception/paired/4b28fd5d-9fc1-4ce3-92bb-e62743f336a0_0.png", "image_2": "Perception/paired/4b28fd5d-9fc1-4ce3-92bb-e62743f336a0_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.missing tiles\nB.color distortion\nC.cloud\nD.No distortion", "answer": "C"}
{"id": "25b5f9a4-910d-4ef9-af39-f80084ac935b", "image_1": "Perception/paired/25b5f9a4-910d-4ef9-af39-f80084ac935b_0.png", "image_2": "Perception/paired/25b5f9a4-910d-4ef9-af39-f80084ac935b_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.cloud\nC.noise\nD.image stretching", "answer": "B"}
{"id": "54e97c6c-d9e4-4357-beb5-67df365eb170", "image_1": "Perception/paired/54e97c6c-d9e4-4357-beb5-67df365eb170_0.png", "image_2": "Perception/paired/54e97c6c-d9e4-4357-beb5-67df365eb170_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "b68e859a-b36a-4d49-a9b5-6b8a010edab5", "image_1": "Perception/paired/b68e859a-b36a-4d49-a9b5-6b8a010edab5_0.png", "image_2": "Perception/paired/b68e859a-b36a-4d49-a9b5-6b8a010edab5_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.color distortion\nC.cloud\nD.dead pixel", "answer": "C"}
{"id": "3e26bc1e-9f7b-4991-b5d6-25294817a8c9", "image_1": "Perception/paired/3e26bc1e-9f7b-4991-b5d6-25294817a8c9_0.png", "image_2": "Perception/paired/3e26bc1e-9f7b-4991-b5d6-25294817a8c9_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.cloud\nB.No distortion\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "7f192b23-5c88-4f5b-b531-dfd51eb6db09", "image_1": "Perception/paired/7f192b23-5c88-4f5b-b531-dfd51eb6db09_0.png", "image_2": "Perception/paired/7f192b23-5c88-4f5b-b531-dfd51eb6db09_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.cloud\nD.missing tiles", "answer": "C"}
{"id": "a9d88b3d-d0c1-489e-b368-c6525a6e170e", "image_1": "Perception/paired/a9d88b3d-d0c1-489e-b368-c6525a6e170e_0.png", "image_2": "Perception/paired/a9d88b3d-d0c1-489e-b368-c6525a6e170e_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.cloud\nC.haze\nD.No distortion", "answer": "B"}
{"id": "5abe6c30-42fa-4ab3-9fdf-f007933f93ec", "image_1": "Perception/paired/5abe6c30-42fa-4ab3-9fdf-f007933f93ec_0.png", "image_2": "Perception/paired/5abe6c30-42fa-4ab3-9fdf-f007933f93ec_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "2bf60c6e-ac11-4714-a1f6-b22c027822cd", "image_1": "Perception/paired/2bf60c6e-ac11-4714-a1f6-b22c027822cd_0.png", "image_2": "Perception/paired/2bf60c6e-ac11-4714-a1f6-b22c027822cd_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.blur\nC.cloud\nD.image compression", "answer": "C"}
{"id": "8e470d35-d2a0-4958-a3e7-32d435697732", "image_1": "Perception/paired/8e470d35-d2a0-4958-a3e7-32d435697732_0.png", "image_2": "Perception/paired/8e470d35-d2a0-4958-a3e7-32d435697732_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.blur\nB.dead pixel\nC.cloud\nD.color distortion", "answer": "C"}
{"id": "61cdc254-6a15-4ceb-b2ee-d20f4637fb03", "image_1": "Perception/paired/61cdc254-6a15-4ceb-b2ee-d20f4637fb03_0.png", "image_2": "Perception/paired/61cdc254-6a15-4ceb-b2ee-d20f4637fb03_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.cloud\nC.color distortion\nD.blur", "answer": "B"}
{"id": "945d42e4-f61f-4ef8-9c36-a3a28334758d", "image_1": "Perception/paired/945d42e4-f61f-4ef8-9c36-a3a28334758d_0.png", "image_2": "Perception/paired/945d42e4-f61f-4ef8-9c36-a3a28334758d_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.haze\nC.cloud\nD.color distortion", "answer": "C"}
{"id": "712d5047-c80d-4152-92f5-ff6043e34de8", "image_1": "Perception/paired/712d5047-c80d-4152-92f5-ff6043e34de8_0.png", "image_2": "Perception/paired/712d5047-c80d-4152-92f5-ff6043e34de8_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.blur\nC.cloud\nD.No distortion", "answer": "C"}
{"id": "50248857-e2c9-4c87-b634-8a0286fbe7e3", "image_1": "Perception/paired/50248857-e2c9-4c87-b634-8a0286fbe7e3_0.png", "image_2": "Perception/paired/50248857-e2c9-4c87-b634-8a0286fbe7e3_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.blur\nB.No distortion\nC.noise\nD.cloud", "answer": "D"}
{"id": "cc00f5b5-d268-4b13-9b42-57eabf0d19fa", "image_1": "Perception/paired/cc00f5b5-d268-4b13-9b42-57eabf0d19fa_0.png", "image_2": "Perception/paired/cc00f5b5-d268-4b13-9b42-57eabf0d19fa_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.cloud\nC.blur\nD.noise", "answer": "B"}
{"id": "5cc4b3ee-1902-4283-b991-e46c8c1f2d60", "image_1": "Perception/paired/5cc4b3ee-1902-4283-b991-e46c8c1f2d60_0.png", "image_2": "Perception/paired/5cc4b3ee-1902-4283-b991-e46c8c1f2d60_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.image compression\nC.image stretching\nD.cloud", "answer": "D"}
{"id": "88cd9ef5-36d8-4943-9be0-175e0d51d849", "image_1": "Perception/paired/88cd9ef5-36d8-4943-9be0-175e0d51d849_0.png", "image_2": "Perception/paired/88cd9ef5-36d8-4943-9be0-175e0d51d849_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.missing tiles\nB.color distortion\nC.cloud\nD.haze", "answer": "C"}
{"id": "2cd2d64b-1c30-42be-ba5f-1edd6ffbd387", "image_1": "Perception/paired/2cd2d64b-1c30-42be-ba5f-1edd6ffbd387_0.png", "image_2": "Perception/paired/2cd2d64b-1c30-42be-ba5f-1edd6ffbd387_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.missing tiles\nB.cloud\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "612a7916-1dc3-40db-a6cd-0925e58e4dd6", "image_1": "Perception/paired/612a7916-1dc3-40db-a6cd-0925e58e4dd6_0.png", "image_2": "Perception/paired/612a7916-1dc3-40db-a6cd-0925e58e4dd6_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.missing tiles\nB.dead pixel\nC.cloud\nD.image stretching", "answer": "C"}
{"id": "5d8d6138-2882-482e-a8d7-20a0c47c9c39", "image_1": "Perception/paired/5d8d6138-2882-482e-a8d7-20a0c47c9c39_0.png", "image_2": "Perception/paired/5d8d6138-2882-482e-a8d7-20a0c47c9c39_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.cloud\nC.haze\nD.No distortion", "answer": "B"}
{"id": "62c91cff-4b50-47fb-b16b-2535aa054235", "image_1": "Perception/paired/62c91cff-4b50-47fb-b16b-2535aa054235_0.png", "image_2": "Perception/paired/62c91cff-4b50-47fb-b16b-2535aa054235_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.blur\nB.cloud\nC.image stretching\nD.No distortion", "answer": "B"}
{"id": "dd3f4897-82a0-430f-aef6-1daf99301299", "image_1": "Perception/paired/dd3f4897-82a0-430f-aef6-1daf99301299_0.png", "image_2": "Perception/paired/dd3f4897-82a0-430f-aef6-1daf99301299_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.color distortion\nC.noise\nD.haze", "answer": "A"}
{"id": "12f50c9f-1a8c-4a83-ad92-1242cec05573", "image_1": "Perception/paired/12f50c9f-1a8c-4a83-ad92-1242cec05573_0.png", "image_2": "Perception/paired/12f50c9f-1a8c-4a83-ad92-1242cec05573_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.image stretching\nC.cloud\nD.dead pixel", "answer": "C"}
{"id": "735647c9-aa16-4625-b8ad-91ca7c0310fb", "image_1": "Perception/paired/735647c9-aa16-4625-b8ad-91ca7c0310fb_0.png", "image_2": "Perception/paired/735647c9-aa16-4625-b8ad-91ca7c0310fb_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.No distortion\nC.cloud\nD.color distortion", "answer": "C"}
{"id": "d8b47480-2faf-49e9-b48c-a70bc347e7db", "image_1": "Perception/paired/d8b47480-2faf-49e9-b48c-a70bc347e7db_0.png", "image_2": "Perception/paired/d8b47480-2faf-49e9-b48c-a70bc347e7db_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.dead pixel\nB.No distortion\nC.cloud\nD.color distortion", "answer": "C"}
{"id": "eb11a474-249a-4251-9ef5-1251c5f760c3", "image_1": "Perception/paired/eb11a474-249a-4251-9ef5-1251c5f760c3_0.png", "image_2": "Perception/paired/eb11a474-249a-4251-9ef5-1251c5f760c3_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.cloud\nB.missing tiles\nC.No distortion\nD.image compression", "answer": "A"}
{"id": "77ebf824-517c-4b63-a192-29f6724918e9", "image_1": "Perception/paired/77ebf824-517c-4b63-a192-29f6724918e9_0.png", "image_2": "Perception/paired/77ebf824-517c-4b63-a192-29f6724918e9_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.No distortion\nB.cloud\nC.blur\nD.noise", "answer": "B"}
{"id": "b2d6c3d9-e6f7-4c2b-8bc2-7a7b2fc43b1e", "image_1": "Perception/paired/b2d6c3d9-e6f7-4c2b-8bc2-7a7b2fc43b1e_0.png", "image_2": "Perception/paired/b2d6c3d9-e6f7-4c2b-8bc2-7a7b2fc43b1e_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.noise\nB.haze\nC.image compression\nD.cloud", "answer": "D"}
{"id": "c36ab905-8f1c-4801-bb7e-a7fda1b9e22d", "image_1": "Perception/paired/c36ab905-8f1c-4801-bb7e-a7fda1b9e22d_0.png", "image_2": "Perception/paired/c36ab905-8f1c-4801-bb7e-a7fda1b9e22d_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.image stretching\nB.color distortion\nC.cloud\nD.dead pixel", "answer": "C"}
{"id": "5ed499fd-1826-4117-956e-e8bf95e6d85e", "image_1": "Perception/paired/5ed499fd-1826-4117-956e-e8bf95e6d85e_0.png", "image_2": "Perception/paired/5ed499fd-1826-4117-956e-e8bf95e6d85e_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.noise\nB.cloud\nC.dead pixel\nD.image compression", "answer": "B"}
{"id": "7ef31c53-ef10-4213-b8a1-fbf890a46ca8", "image_1": "Perception/paired/7ef31c53-ef10-4213-b8a1-fbf890a46ca8_0.png", "image_2": "Perception/paired/7ef31c53-ef10-4213-b8a1-fbf890a46ca8_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.blur\nB.No distortion\nC.dead pixel\nD.cloud", "answer": "D"}
{"id": "439e9f38-7af2-44c6-8011-1947648bbc96", "image_1": "Perception/paired/439e9f38-7af2-44c6-8011-1947648bbc96_0.png", "image_2": "Perception/paired/439e9f38-7af2-44c6-8011-1947648bbc96_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.haze\nB.cloud\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "c56d4fc6-72b7-4730-b786-6ae23fb53239", "image_1": "Perception/paired/c56d4fc6-72b7-4730-b786-6ae23fb53239_0.png", "image_2": "Perception/paired/c56d4fc6-72b7-4730-b786-6ae23fb53239_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.blur\nB.cloud\nC.dead pixel\nD.image compression", "answer": "B"}
{"id": "5ee8bb3c-71d9-4e0c-8763-403d753fa1de", "image_1": "Perception/paired/5ee8bb3c-71d9-4e0c-8763-403d753fa1de_0.png", "image_2": "Perception/paired/5ee8bb3c-71d9-4e0c-8763-403d753fa1de_1.png", "question": "Identify the main distortion introduced between the two images.\nA.cloud\nB.blur\nC.missing tiles\nD.haze", "answer": "A"}
{"id": "398995c9-f51a-4be7-b4be-738a2becae7e", "image_1": "Perception/paired/398995c9-f51a-4be7-b4be-738a2becae7e_0.png", "image_2": "Perception/paired/398995c9-f51a-4be7-b4be-738a2becae7e_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.cloud\nB.missing tiles\nC.haze\nD.dead pixel", "answer": "A"}
{"id": "85f53c9d-4fa6-40d1-aeb6-2e3bf9528046", "image_1": "Perception/paired/85f53c9d-4fa6-40d1-aeb6-2e3bf9528046_0.png", "image_2": "Perception/paired/85f53c9d-4fa6-40d1-aeb6-2e3bf9528046_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.cloud\nC.image compression\nD.missing tiles", "answer": "B"}
{"id": "912a7787-c248-4071-b1ef-d155f413af31", "image_1": "Perception/paired/912a7787-c248-4071-b1ef-d155f413af31_0.png", "image_2": "Perception/paired/912a7787-c248-4071-b1ef-d155f413af31_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.missing tiles\nC.image compression\nD.image stretching", "answer": "C"}
{"id": "1cab9c93-8445-4645-899f-5e4bb6f898ba", "image_1": "Perception/paired/1cab9c93-8445-4645-899f-5e4bb6f898ba_0.png", "image_2": "Perception/paired/1cab9c93-8445-4645-899f-5e4bb6f898ba_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.image stretching\nC.dead pixel\nD.image compression", "answer": "D"}
{"id": "931e18e1-a1e8-44cf-a22b-901c261fd268", "image_1": "Perception/paired/931e18e1-a1e8-44cf-a22b-901c261fd268_0.png", "image_2": "Perception/paired/931e18e1-a1e8-44cf-a22b-901c261fd268_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.image stretching\nC.image compression\nD.haze", "answer": "C"}
{"id": "0813366a-35c2-4735-a3b8-304ae9aeb13a", "image_1": "Perception/paired/0813366a-35c2-4735-a3b8-304ae9aeb13a_0.png", "image_2": "Perception/paired/0813366a-35c2-4735-a3b8-304ae9aeb13a_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.image compression\nB.blur\nC.image stretching\nD.haze", "answer": "A"}
{"id": "ab097d78-148e-40b3-937e-71d405a13221", "image_1": "Perception/paired/ab097d78-148e-40b3-937e-71d405a13221_0.png", "image_2": "Perception/paired/ab097d78-148e-40b3-937e-71d405a13221_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.image stretching\nC.cloud\nD.image compression", "answer": "D"}
{"id": "4da57951-8013-4700-966b-db4b3a361669", "image_1": "Perception/paired/4da57951-8013-4700-966b-db4b3a361669_0.png", "image_2": "Perception/paired/4da57951-8013-4700-966b-db4b3a361669_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.color distortion\nB.haze\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "45ee2c24-5bda-4c29-9b40-5af49bdc9c6e", "image_1": "Perception/paired/45ee2c24-5bda-4c29-9b40-5af49bdc9c6e_0.png", "image_2": "Perception/paired/45ee2c24-5bda-4c29-9b40-5af49bdc9c6e_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.color distortion\nC.missing tiles\nD.No distortion", "answer": "A"}
{"id": "46c40620-dabb-4cbf-a19c-b6822b45d3b2", "image_1": "Perception/paired/46c40620-dabb-4cbf-a19c-b6822b45d3b2_0.png", "image_2": "Perception/paired/46c40620-dabb-4cbf-a19c-b6822b45d3b2_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.image compression\nC.haze\nD.No distortion", "answer": "B"}
{"id": "6a027941-8290-4387-bf69-690d9f2eb9fd", "image_1": "Perception/paired/6a027941-8290-4387-bf69-690d9f2eb9fd_0.png", "image_2": "Perception/paired/6a027941-8290-4387-bf69-690d9f2eb9fd_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image compression\nB.No distortion\nC.color distortion\nD.blur", "answer": "A"}
{"id": "d15fb849-aa57-43cb-adc6-041d095780cf", "image_1": "Perception/paired/d15fb849-aa57-43cb-adc6-041d095780cf_0.png", "image_2": "Perception/paired/d15fb849-aa57-43cb-adc6-041d095780cf_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.No distortion\nC.image compression\nD.noise", "answer": "B"}
{"id": "95fc927f-69b4-40e5-89c1-241a88578124", "image_1": "Perception/paired/95fc927f-69b4-40e5-89c1-241a88578124_0.png", "image_2": "Perception/paired/95fc927f-69b4-40e5-89c1-241a88578124_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.image compression\nB.cloud\nC.noise\nD.No distortion", "answer": "A"}
{"id": "afda8e4f-f6b6-4ade-affa-3fafc7036235", "image_1": "Perception/paired/afda8e4f-f6b6-4ade-affa-3fafc7036235_0.png", "image_2": "Perception/paired/afda8e4f-f6b6-4ade-affa-3fafc7036235_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image compression\nB.image stretching\nC.haze\nD.No distortion", "answer": "D"}
{"id": "e8838a94-be57-4016-9163-49e43f4470a1", "image_1": "Perception/paired/e8838a94-be57-4016-9163-49e43f4470a1_0.png", "image_2": "Perception/paired/e8838a94-be57-4016-9163-49e43f4470a1_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.image compression\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "4f463f7e-544b-4094-9c35-c5c1f9af2a3b", "image_1": "Perception/paired/4f463f7e-544b-4094-9c35-c5c1f9af2a3b_0.png", "image_2": "Perception/paired/4f463f7e-544b-4094-9c35-c5c1f9af2a3b_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.noise\nC.image compression\nD.dead pixel", "answer": "C"}
{"id": "5f7db700-b9b7-46f5-bd3d-0f1a5911ddf5", "image_1": "Perception/paired/5f7db700-b9b7-46f5-bd3d-0f1a5911ddf5_0.png", "image_2": "Perception/paired/5f7db700-b9b7-46f5-bd3d-0f1a5911ddf5_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image compression\nB.No distortion\nC.haze\nD.color distortion", "answer": "A"}
{"id": "16b18613-b312-40c9-a7c3-db0019094869", "image_1": "Perception/paired/16b18613-b312-40c9-a7c3-db0019094869_0.png", "image_2": "Perception/paired/16b18613-b312-40c9-a7c3-db0019094869_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.dead pixel\nC.image compression\nD.image stretching", "answer": "A"}
{"id": "bc666d9f-36ef-4929-8e00-8fdfe47b47f0", "image_1": "Perception/paired/bc666d9f-36ef-4929-8e00-8fdfe47b47f0_0.png", "image_2": "Perception/paired/bc666d9f-36ef-4929-8e00-8fdfe47b47f0_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "89eab9f4-5fc3-4806-99f8-cce755dc3708", "image_1": "Perception/paired/89eab9f4-5fc3-4806-99f8-cce755dc3708_0.png", "image_2": "Perception/paired/89eab9f4-5fc3-4806-99f8-cce755dc3708_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.color distortion\nB.No distortion\nC.image compression\nD.missing tiles", "answer": "C"}
{"id": "6eb2803b-7857-4e95-aae7-c60a5356c5ba", "image_1": "Perception/paired/6eb2803b-7857-4e95-aae7-c60a5356c5ba_0.png", "image_2": "Perception/paired/6eb2803b-7857-4e95-aae7-c60a5356c5ba_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.blur\nB.image compression\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "b9572fa5-a962-4b41-b257-e6febe275fba", "image_1": "Perception/paired/b9572fa5-a962-4b41-b257-e6febe275fba_0.png", "image_2": "Perception/paired/b9572fa5-a962-4b41-b257-e6febe275fba_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.missing tiles\nB.color distortion\nC.image compression\nD.No distortion", "answer": "C"}
{"id": "d4e13a6b-72a0-46d3-a4f7-be4ca4387e65", "image_1": "Perception/paired/d4e13a6b-72a0-46d3-a4f7-be4ca4387e65_0.png", "image_2": "Perception/paired/d4e13a6b-72a0-46d3-a4f7-be4ca4387e65_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.image compression\nC.noise\nD.image stretching", "answer": "B"}
{"id": "f6f19451-a39a-462a-9322-4871e01dee73", "image_1": "Perception/paired/f6f19451-a39a-462a-9322-4871e01dee73_0.png", "image_2": "Perception/paired/f6f19451-a39a-462a-9322-4871e01dee73_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.missing tiles\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "fcd2a239-ff48-4e21-8e85-4b216faa7384", "image_1": "Perception/paired/fcd2a239-ff48-4e21-8e85-4b216faa7384_0.png", "image_2": "Perception/paired/fcd2a239-ff48-4e21-8e85-4b216faa7384_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.color distortion\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "7f6c0ade-a43f-4dad-bcf6-35705f259be6", "image_1": "Perception/paired/7f6c0ade-a43f-4dad-bcf6-35705f259be6_0.png", "image_2": "Perception/paired/7f6c0ade-a43f-4dad-bcf6-35705f259be6_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.No distortion\nB.image compression\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "faa2687c-755e-455d-b665-b70ad64c37da", "image_1": "Perception/paired/faa2687c-755e-455d-b665-b70ad64c37da_0.png", "image_2": "Perception/paired/faa2687c-755e-455d-b665-b70ad64c37da_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "1907a910-b57c-445f-b06e-0e81f833c380", "image_1": "Perception/paired/1907a910-b57c-445f-b06e-0e81f833c380_0.png", "image_2": "Perception/paired/1907a910-b57c-445f-b06e-0e81f833c380_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.image compression\nC.haze\nD.No distortion", "answer": "B"}
{"id": "2d28060f-fcd5-431f-a574-d3917494e87b", "image_1": "Perception/paired/2d28060f-fcd5-431f-a574-d3917494e87b_0.png", "image_2": "Perception/paired/2d28060f-fcd5-431f-a574-d3917494e87b_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.No distortion\nC.noise\nD.image compression", "answer": "D"}
{"id": "fd8bfc76-3a84-40da-a688-ec43e34d9bad", "image_1": "Perception/paired/fd8bfc76-3a84-40da-a688-ec43e34d9bad_0.png", "image_2": "Perception/paired/fd8bfc76-3a84-40da-a688-ec43e34d9bad_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.cloud\nC.image compression\nD.blur", "answer": "C"}
{"id": "ecb2421f-8a11-4944-bc7c-62e7dc46aa3c", "image_1": "Perception/paired/ecb2421f-8a11-4944-bc7c-62e7dc46aa3c_0.png", "image_2": "Perception/paired/ecb2421f-8a11-4944-bc7c-62e7dc46aa3c_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.cloud\nB.dead pixel\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "72a98225-b942-40ac-8261-883091aee40f", "image_1": "Perception/paired/72a98225-b942-40ac-8261-883091aee40f_0.png", "image_2": "Perception/paired/72a98225-b942-40ac-8261-883091aee40f_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.image compression\nC.color distortion\nD.cloud", "answer": "B"}
{"id": "67b3b549-30ea-450e-a92b-5007fa65751b", "image_1": "Perception/paired/67b3b549-30ea-450e-a92b-5007fa65751b_0.png", "image_2": "Perception/paired/67b3b549-30ea-450e-a92b-5007fa65751b_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.haze\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "5deeb052-26d3-4afb-848e-7cda619b0a46", "image_1": "Perception/paired/5deeb052-26d3-4afb-848e-7cda619b0a46_0.png", "image_2": "Perception/paired/5deeb052-26d3-4afb-848e-7cda619b0a46_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.cloud\nC.image compression\nD.No distortion", "answer": "C"}
{"id": "f9f8970a-1663-41ff-a24a-42ca97ebcbb9", "image_1": "Perception/paired/f9f8970a-1663-41ff-a24a-42ca97ebcbb9_0.png", "image_2": "Perception/paired/f9f8970a-1663-41ff-a24a-42ca97ebcbb9_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.No distortion\nC.noise\nD.image compression", "answer": "D"}
{"id": "6658aef1-b771-4b4c-b013-c7db9f61c298", "image_1": "Perception/paired/6658aef1-b771-4b4c-b013-c7db9f61c298_0.png", "image_2": "Perception/paired/6658aef1-b771-4b4c-b013-c7db9f61c298_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.blur\nB.No distortion\nC.cloud\nD.noise", "answer": "B"}
{"id": "4f2fbd3e-3bee-48ab-80cb-cb7ca6a54d25", "image_1": "Perception/paired/4f2fbd3e-3bee-48ab-80cb-cb7ca6a54d25_0.png", "image_2": "Perception/paired/4f2fbd3e-3bee-48ab-80cb-cb7ca6a54d25_1.png", "question": "Identify the main distortion introduced between the two images.\nA.cloud\nB.blur\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "da4fd478-483f-42ff-b931-1863ce47b2f4", "image_1": "Perception/paired/da4fd478-483f-42ff-b931-1863ce47b2f4_0.png", "image_2": "Perception/paired/da4fd478-483f-42ff-b931-1863ce47b2f4_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.haze", "answer": "C"}
{"id": "727a6b11-4bbc-465b-95df-12682785fb1f", "image_1": "Perception/paired/727a6b11-4bbc-465b-95df-12682785fb1f_0.png", "image_2": "Perception/paired/727a6b11-4bbc-465b-95df-12682785fb1f_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.missing tiles\nB.cloud\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "e54f6950-6324-4a06-860a-92d097b73293", "image_1": "Perception/paired/e54f6950-6324-4a06-860a-92d097b73293_0.png", "image_2": "Perception/paired/e54f6950-6324-4a06-860a-92d097b73293_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.missing tiles\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "C"}
{"id": "89422394-168d-4522-8ca5-4d5414dd71be", "image_1": "Perception/paired/89422394-168d-4522-8ca5-4d5414dd71be_0.png", "image_2": "Perception/paired/89422394-168d-4522-8ca5-4d5414dd71be_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "acc003af-8491-4329-a928-3a8072c4cf0b", "image_1": "Perception/paired/acc003af-8491-4329-a928-3a8072c4cf0b_0.png", "image_2": "Perception/paired/acc003af-8491-4329-a928-3a8072c4cf0b_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.image compression\nC.image stretching\nD.No distortion", "answer": "B"}
{"id": "94293ae4-0ab6-420e-8f08-43b150482f50", "image_1": "Perception/paired/94293ae4-0ab6-420e-8f08-43b150482f50_0.png", "image_2": "Perception/paired/94293ae4-0ab6-420e-8f08-43b150482f50_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.image compression\nB.missing tiles\nC.No distortion\nD.image stretching", "answer": "A"}
{"id": "efdb68bd-9a21-44d2-a977-234d7b08715d", "image_1": "Perception/paired/efdb68bd-9a21-44d2-a977-234d7b08715d_0.png", "image_2": "Perception/paired/efdb68bd-9a21-44d2-a977-234d7b08715d_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.noise\nC.image compression\nD.image stretching", "answer": "C"}
{"id": "66224fd1-596b-456b-8a28-ab7420fdfc89", "image_1": "Perception/paired/66224fd1-596b-456b-8a28-ab7420fdfc89_0.png", "image_2": "Perception/paired/66224fd1-596b-456b-8a28-ab7420fdfc89_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.No distortion\nC.image compression\nD.cloud", "answer": "C"}
{"id": "7d710969-7d54-4c4d-b4d7-c7f964189c14", "image_1": "Perception/paired/7d710969-7d54-4c4d-b4d7-c7f964189c14_0.png", "image_2": "Perception/paired/7d710969-7d54-4c4d-b4d7-c7f964189c14_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.dead pixel\nB.image compression\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "6e69eeca-5771-480a-a50a-7983478233c1", "image_1": "Perception/paired/6e69eeca-5771-480a-a50a-7983478233c1_0.png", "image_2": "Perception/paired/6e69eeca-5771-480a-a50a-7983478233c1_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.image compression\nB.No distortion\nC.cloud\nD.image stretching", "answer": "A"}
{"id": "c43c1d9d-b990-4bbd-bf1d-e1139db7bb84", "image_1": "Perception/paired/c43c1d9d-b990-4bbd-bf1d-e1139db7bb84_0.png", "image_2": "Perception/paired/c43c1d9d-b990-4bbd-bf1d-e1139db7bb84_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.image compression\nB.dead pixel\nC.missing tiles\nD.noise", "answer": "A"}
{"id": "696af784-7506-48ff-9bb8-847199eb45b6", "image_1": "Perception/paired/696af784-7506-48ff-9bb8-847199eb45b6_0.png", "image_2": "Perception/paired/696af784-7506-48ff-9bb8-847199eb45b6_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.dead pixel\nB.image compression\nC.No distortion\nD.image stretching", "answer": "B"}
{"id": "64768515-e30f-465e-b275-8275b0da15d6", "image_1": "Perception/paired/64768515-e30f-465e-b275-8275b0da15d6_0.png", "image_2": "Perception/paired/64768515-e30f-465e-b275-8275b0da15d6_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.missing tiles\nB.No distortion\nC.noise\nD.image compression", "answer": "D"}
{"id": "ba04617d-512b-4ed8-a7a9-acc6213b9e29", "image_1": "Perception/paired/ba04617d-512b-4ed8-a7a9-acc6213b9e29_0.png", "image_2": "Perception/paired/ba04617d-512b-4ed8-a7a9-acc6213b9e29_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.image stretching\nC.cloud\nD.haze", "answer": "A"}
{"id": "ccceeb25-531d-4dd3-8022-8576688e4916", "image_1": "Perception/paired/ccceeb25-531d-4dd3-8022-8576688e4916_0.png", "image_2": "Perception/paired/ccceeb25-531d-4dd3-8022-8576688e4916_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.dead pixel\nC.color distortion\nD.noise", "answer": "A"}
{"id": "6de7997c-f7fd-40b2-a749-e36f41d14cf5", "image_1": "Perception/paired/6de7997c-f7fd-40b2-a749-e36f41d14cf5_0.png", "image_2": "Perception/paired/6de7997c-f7fd-40b2-a749-e36f41d14cf5_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.noise\nB.No distortion\nC.image compression\nD.dead pixel", "answer": "C"}
{"id": "642c404a-4d22-40d4-a81a-70208bf6c46a", "image_1": "Perception/paired/642c404a-4d22-40d4-a81a-70208bf6c46a_0.png", "image_2": "Perception/paired/642c404a-4d22-40d4-a81a-70208bf6c46a_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.image compression\nB.image stretching\nC.dead pixel\nD.blur", "answer": "A"}
{"id": "9edbe3a9-35a1-4561-b71a-f764e5ebe308", "image_1": "Perception/paired/9edbe3a9-35a1-4561-b71a-f764e5ebe308_0.png", "image_2": "Perception/paired/9edbe3a9-35a1-4561-b71a-f764e5ebe308_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.noise\nB.color distortion\nC.image compression\nD.blur", "answer": "C"}
{"id": "f29070c4-605f-4fc7-b9ec-d5b92c352a07", "image_1": "Perception/paired/f29070c4-605f-4fc7-b9ec-d5b92c352a07_0.png", "image_2": "Perception/paired/f29070c4-605f-4fc7-b9ec-d5b92c352a07_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.dead pixel\nB.blur\nC.image compression\nD.noise", "answer": "C"}
{"id": "ac5a1510-8c8a-45f7-a006-87fc7c3dd54f", "image_1": "Perception/paired/ac5a1510-8c8a-45f7-a006-87fc7c3dd54f_0.png", "image_2": "Perception/paired/ac5a1510-8c8a-45f7-a006-87fc7c3dd54f_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.haze\nB.dead pixel\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "99f5ca66-c7c4-4e52-9472-de33a9b2f40e", "image_1": "Perception/paired/99f5ca66-c7c4-4e52-9472-de33a9b2f40e_0.png", "image_2": "Perception/paired/99f5ca66-c7c4-4e52-9472-de33a9b2f40e_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.missing tiles\nC.No distortion\nD.image stretching", "answer": "C"}
{"id": "893ffb82-da40-4a52-8ad9-1893cae11c4e", "image_1": "Perception/paired/893ffb82-da40-4a52-8ad9-1893cae11c4e_0.png", "image_2": "Perception/paired/893ffb82-da40-4a52-8ad9-1893cae11c4e_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.image stretching\nC.dead pixel\nD.image compression", "answer": "D"}
{"id": "c9a6c1f4-757a-4abe-8b2c-f235040438e3", "image_1": "Perception/paired/c9a6c1f4-757a-4abe-8b2c-f235040438e3_0.png", "image_2": "Perception/paired/c9a6c1f4-757a-4abe-8b2c-f235040438e3_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.image stretching\nC.image compression\nD.haze", "answer": "C"}
{"id": "08cea876-e7e4-41d7-8ff4-33ac00e7a507", "image_1": "Perception/paired/08cea876-e7e4-41d7-8ff4-33ac00e7a507_0.png", "image_2": "Perception/paired/08cea876-e7e4-41d7-8ff4-33ac00e7a507_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.No distortion\nB.blur\nC.image stretching\nD.haze", "answer": "A"}
{"id": "5d260e65-9275-402c-b5ee-de62e5f33058", "image_1": "Perception/paired/5d260e65-9275-402c-b5ee-de62e5f33058_0.png", "image_2": "Perception/paired/5d260e65-9275-402c-b5ee-de62e5f33058_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.image stretching\nC.cloud\nD.image compression", "answer": "D"}
{"id": "2dd8ffb6-8d66-42b8-87fa-657036e2970a", "image_1": "Perception/paired/2dd8ffb6-8d66-42b8-87fa-657036e2970a_0.png", "image_2": "Perception/paired/2dd8ffb6-8d66-42b8-87fa-657036e2970a_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.color distortion\nB.haze\nC.missing tiles\nD.No distortion", "answer": "D"}
{"id": "4c090b6d-fe7d-4310-a34e-98ba84455da2", "image_1": "Perception/paired/4c090b6d-fe7d-4310-a34e-98ba84455da2_0.png", "image_2": "Perception/paired/4c090b6d-fe7d-4310-a34e-98ba84455da2_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.color distortion\nC.missing tiles\nD.No distortion", "answer": "A"}
{"id": "375d2b1c-d439-424e-b2bf-08e7b011a0e9", "image_1": "Perception/paired/375d2b1c-d439-424e-b2bf-08e7b011a0e9_0.png", "image_2": "Perception/paired/375d2b1c-d439-424e-b2bf-08e7b011a0e9_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.image compression\nC.haze\nD.No distortion", "answer": "B"}
{"id": "3f19120e-ece7-42ab-a2b8-f7f5b9129f01", "image_1": "Perception/paired/3f19120e-ece7-42ab-a2b8-f7f5b9129f01_0.png", "image_2": "Perception/paired/3f19120e-ece7-42ab-a2b8-f7f5b9129f01_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image compression\nC.color distortion\nD.blur", "answer": "A"}
{"id": "bf91d965-df48-40f5-b59f-3532815b06cc", "image_1": "Perception/paired/bf91d965-df48-40f5-b59f-3532815b06cc_0.png", "image_2": "Perception/paired/bf91d965-df48-40f5-b59f-3532815b06cc_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.image compression\nC.No distortion\nD.noise", "answer": "B"}
{"id": "6cc4954d-35ab-42ec-9fa9-b463e4985d13", "image_1": "Perception/paired/6cc4954d-35ab-42ec-9fa9-b463e4985d13_0.png", "image_2": "Perception/paired/6cc4954d-35ab-42ec-9fa9-b463e4985d13_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.No distortion\nB.cloud\nC.noise\nD.image compression", "answer": "A"}
{"id": "bfdb5310-337c-4279-bc16-7808201ce9e6", "image_1": "Perception/paired/bfdb5310-337c-4279-bc16-7808201ce9e6_0.png", "image_2": "Perception/paired/bfdb5310-337c-4279-bc16-7808201ce9e6_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image stretching\nC.haze\nD.image compression", "answer": "D"}
{"id": "38a137dc-607f-457a-83ab-d8b2cc030835", "image_1": "Perception/paired/38a137dc-607f-457a-83ab-d8b2cc030835_0.png", "image_2": "Perception/paired/38a137dc-607f-457a-83ab-d8b2cc030835_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.image compression\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "be872e31-79e3-477b-b2f1-370fb6f180f0", "image_1": "Perception/paired/be872e31-79e3-477b-b2f1-370fb6f180f0_0.png", "image_2": "Perception/paired/be872e31-79e3-477b-b2f1-370fb6f180f0_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.noise\nC.image compression\nD.dead pixel", "answer": "C"}
{"id": "4786bfc7-b005-43e8-83ad-b9eee1b6c22e", "image_1": "Perception/paired/4786bfc7-b005-43e8-83ad-b9eee1b6c22e_0.png", "image_2": "Perception/paired/4786bfc7-b005-43e8-83ad-b9eee1b6c22e_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image compression\nB.No distortion\nC.haze\nD.color distortion", "answer": "A"}
{"id": "75c5d1b6-9bac-4c00-adec-c828d41ba217", "image_1": "Perception/paired/75c5d1b6-9bac-4c00-adec-c828d41ba217_0.png", "image_2": "Perception/paired/75c5d1b6-9bac-4c00-adec-c828d41ba217_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.dead pixel\nC.image compression\nD.image stretching", "answer": "A"}
{"id": "f10d7ef9-4fff-4414-9b75-acbda7e659f3", "image_1": "Perception/paired/f10d7ef9-4fff-4414-9b75-acbda7e659f3_0.png", "image_2": "Perception/paired/f10d7ef9-4fff-4414-9b75-acbda7e659f3_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "c78a80dc-aeb8-4d9f-b735-162776264fd5", "image_1": "Perception/paired/c78a80dc-aeb8-4d9f-b735-162776264fd5_0.png", "image_2": "Perception/paired/c78a80dc-aeb8-4d9f-b735-162776264fd5_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.color distortion\nB.image compression\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "f6d8c24a-521d-4437-bf1e-a7dfbe559a0a", "image_1": "Perception/paired/f6d8c24a-521d-4437-bf1e-a7dfbe559a0a_0.png", "image_2": "Perception/paired/f6d8c24a-521d-4437-bf1e-a7dfbe559a0a_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.blur\nB.No distortion\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "339681ad-ea07-4b2a-af4b-f8fcba7296eb", "image_1": "Perception/paired/339681ad-ea07-4b2a-af4b-f8fcba7296eb_0.png", "image_2": "Perception/paired/339681ad-ea07-4b2a-af4b-f8fcba7296eb_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.missing tiles\nB.color distortion\nC.image compression\nD.No distortion", "answer": "C"}
{"id": "c1d2208e-ce1e-4508-b7b1-bcca0767af63", "image_1": "Perception/paired/c1d2208e-ce1e-4508-b7b1-bcca0767af63_0.png", "image_2": "Perception/paired/c1d2208e-ce1e-4508-b7b1-bcca0767af63_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.No distortion\nC.noise\nD.image stretching", "answer": "B"}
{"id": "64b6df42-38a5-40a5-afee-ce212ee55b71", "image_1": "Perception/paired/64b6df42-38a5-40a5-afee-ce212ee55b71_0.png", "image_2": "Perception/paired/64b6df42-38a5-40a5-afee-ce212ee55b71_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.missing tiles\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "9c472d2f-4112-4e9c-a9a9-4615a681625d", "image_1": "Perception/paired/9c472d2f-4112-4e9c-a9a9-4615a681625d_0.png", "image_2": "Perception/paired/9c472d2f-4112-4e9c-a9a9-4615a681625d_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.color distortion\nC.image compression\nD.dead pixel", "answer": "C"}
{"id": "0deb1665-c08e-471b-9952-f9bd6a69d4cf", "image_1": "Perception/paired/0deb1665-c08e-471b-9952-f9bd6a69d4cf_0.png", "image_2": "Perception/paired/0deb1665-c08e-471b-9952-f9bd6a69d4cf_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.image compression\nB.No distortion\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "9d3d133f-4ca6-4de1-b471-99c8f478aeca", "image_1": "Perception/paired/9d3d133f-4ca6-4de1-b471-99c8f478aeca_0.png", "image_2": "Perception/paired/9d3d133f-4ca6-4de1-b471-99c8f478aeca_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.image compression\nD.missing tiles", "answer": "C"}
{"id": "eab5694e-b0ea-4393-955e-2ee8cb0d0323", "image_1": "Perception/paired/eab5694e-b0ea-4393-955e-2ee8cb0d0323_0.png", "image_2": "Perception/paired/eab5694e-b0ea-4393-955e-2ee8cb0d0323_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.image compression\nC.haze\nD.No distortion", "answer": "B"}
{"id": "2dbe841c-07e1-4c26-a2d6-0ed8f8f64159", "image_1": "Perception/paired/2dbe841c-07e1-4c26-a2d6-0ed8f8f64159_0.png", "image_2": "Perception/paired/2dbe841c-07e1-4c26-a2d6-0ed8f8f64159_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.No distortion\nC.noise\nD.image compression", "answer": "D"}
{"id": "87a27666-0d4c-4cbc-9afb-b2143d79833a", "image_1": "Perception/paired/87a27666-0d4c-4cbc-9afb-b2143d79833a_0.png", "image_2": "Perception/paired/87a27666-0d4c-4cbc-9afb-b2143d79833a_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.cloud\nC.image compression\nD.blur", "answer": "C"}
{"id": "afad3263-74a4-4095-bb7a-0029dd7ac4e3", "image_1": "Perception/paired/afad3263-74a4-4095-bb7a-0029dd7ac4e3_0.png", "image_2": "Perception/paired/afad3263-74a4-4095-bb7a-0029dd7ac4e3_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.cloud\nB.dead pixel\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "ddadb4e7-66d6-406c-9345-cd28e684ce11", "image_1": "Perception/paired/ddadb4e7-66d6-406c-9345-cd28e684ce11_0.png", "image_2": "Perception/paired/ddadb4e7-66d6-406c-9345-cd28e684ce11_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.image compression\nC.color distortion\nD.cloud", "answer": "B"}
{"id": "47f63502-2d66-4184-b57e-19a3d234a094", "image_1": "Perception/paired/47f63502-2d66-4184-b57e-19a3d234a094_0.png", "image_2": "Perception/paired/47f63502-2d66-4184-b57e-19a3d234a094_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.haze\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "8bbb3fd6-ffdd-47b3-a8ea-e1229ed4db12", "image_1": "Perception/paired/8bbb3fd6-ffdd-47b3-a8ea-e1229ed4db12_0.png", "image_2": "Perception/paired/8bbb3fd6-ffdd-47b3-a8ea-e1229ed4db12_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.cloud\nC.image compression\nD.No distortion", "answer": "C"}
{"id": "526fb9b8-1340-4ff7-b1c8-3810649ba5fe", "image_1": "Perception/paired/526fb9b8-1340-4ff7-b1c8-3810649ba5fe_0.png", "image_2": "Perception/paired/526fb9b8-1340-4ff7-b1c8-3810649ba5fe_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.No distortion\nC.noise\nD.image compression", "answer": "D"}
{"id": "e9fbe081-7f32-44ef-92d3-4b029cf29279", "image_1": "Perception/paired/e9fbe081-7f32-44ef-92d3-4b029cf29279_0.png", "image_2": "Perception/paired/e9fbe081-7f32-44ef-92d3-4b029cf29279_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.blur\nB.No distortion\nC.cloud\nD.noise", "answer": "B"}
{"id": "10d8b610-cda1-4c84-a777-759e2258bdcf", "image_1": "Perception/paired/10d8b610-cda1-4c84-a777-759e2258bdcf_0.png", "image_2": "Perception/paired/10d8b610-cda1-4c84-a777-759e2258bdcf_1.png", "question": "Identify the main distortion introduced between the two images.\nA.cloud\nB.blur\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "2a08d09a-7bbc-449f-9566-d4190db2b686", "image_1": "Perception/paired/2a08d09a-7bbc-449f-9566-d4190db2b686_0.png", "image_2": "Perception/paired/2a08d09a-7bbc-449f-9566-d4190db2b686_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.missing tiles\nB.color distortion\nC.image compression\nD.haze", "answer": "C"}
{"id": "4666f5d0-96e2-4b9a-b93c-3b165658f4db", "image_1": "Perception/paired/4666f5d0-96e2-4b9a-b93c-3b165658f4db_0.png", "image_2": "Perception/paired/4666f5d0-96e2-4b9a-b93c-3b165658f4db_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.missing tiles\nB.cloud\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "9aff43b0-ca3b-42b7-8ba5-7666f1d7d82b", "image_1": "Perception/paired/9aff43b0-ca3b-42b7-8ba5-7666f1d7d82b_0.png", "image_2": "Perception/paired/9aff43b0-ca3b-42b7-8ba5-7666f1d7d82b_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.missing tiles\nB.dead pixel\nC.image compression\nD.image stretching", "answer": "C"}
{"id": "cfe22eef-f400-42ff-af9b-429ace833ade", "image_1": "Perception/paired/cfe22eef-f400-42ff-af9b-429ace833ade_0.png", "image_2": "Perception/paired/cfe22eef-f400-42ff-af9b-429ace833ade_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.image compression\nC.haze\nD.No distortion", "answer": "B"}
{"id": "bd48dc31-7953-43f1-9b50-5bb6f1ae4db6", "image_1": "Perception/paired/bd48dc31-7953-43f1-9b50-5bb6f1ae4db6_0.png", "image_2": "Perception/paired/bd48dc31-7953-43f1-9b50-5bb6f1ae4db6_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.No distortion\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "dd5391c4-2e61-4f27-9062-765b041ca8cf", "image_1": "Perception/paired/dd5391c4-2e61-4f27-9062-765b041ca8cf_0.png", "image_2": "Perception/paired/dd5391c4-2e61-4f27-9062-765b041ca8cf_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.cloud\nC.dead pixel\nD.noise", "answer": "A"}
{"id": "29da90a2-2920-4d47-a227-73ddfdd96bb9", "image_1": "Perception/paired/29da90a2-2920-4d47-a227-73ddfdd96bb9_0.png", "image_2": "Perception/paired/29da90a2-2920-4d47-a227-73ddfdd96bb9_1.png", "question": "Identify the main distortion introduced between the two images.\nA.dead pixel\nB.No distortion\nC.blur\nD.image compression", "answer": "D"}
{"id": "a91b37f4-d067-424c-ae15-8c5a6265cab1", "image_1": "Perception/paired/a91b37f4-d067-424c-ae15-8c5a6265cab1_0.png", "image_2": "Perception/paired/a91b37f4-d067-424c-ae15-8c5a6265cab1_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.cloud\nB.image stretching\nC.color distortion\nD.image compression", "answer": "D"}
{"id": "8a1e284f-6ab1-480a-ad19-f7b31b84b121", "image_1": "Perception/paired/8a1e284f-6ab1-480a-ad19-f7b31b84b121_0.png", "image_2": "Perception/paired/8a1e284f-6ab1-480a-ad19-f7b31b84b121_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.noise\nB.haze\nC.image compression\nD.blur", "answer": "C"}
{"id": "b3ad6b56-1473-448e-b351-fc1d9482af27", "image_1": "Perception/paired/b3ad6b56-1473-448e-b351-fc1d9482af27_0.png", "image_2": "Perception/paired/b3ad6b56-1473-448e-b351-fc1d9482af27_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image compression\nB.image stretching\nC.blur\nD.dead pixel", "answer": "A"}
{"id": "cd7ca6bf-2d03-4fa8-a7c9-cc5310074a6d", "image_1": "Perception/paired/cd7ca6bf-2d03-4fa8-a7c9-cc5310074a6d_0.png", "image_2": "Perception/paired/cd7ca6bf-2d03-4fa8-a7c9-cc5310074a6d_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.image compression\nB.cloud\nC.No distortion\nD.blur", "answer": "A"}
{"id": "40f80f94-8fa1-472b-a1e3-36612a4aa7f5", "image_1": "Perception/paired/40f80f94-8fa1-472b-a1e3-36612a4aa7f5_0.png", "image_2": "Perception/paired/40f80f94-8fa1-472b-a1e3-36612a4aa7f5_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image stretching\nB.haze\nC.cloud\nD.image compression", "answer": "D"}
{"id": "a65b87cd-2c1d-430e-b07c-4503028a4faa", "image_1": "Perception/paired/a65b87cd-2c1d-430e-b07c-4503028a4faa_0.png", "image_2": "Perception/paired/a65b87cd-2c1d-430e-b07c-4503028a4faa_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.dead pixel\nB.color distortion\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "2596753f-b35c-46ac-b923-d6007382ab1c", "image_1": "Perception/paired/2596753f-b35c-46ac-b923-d6007382ab1c_0.png", "image_2": "Perception/paired/2596753f-b35c-46ac-b923-d6007382ab1c_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.image compression\nB.cloud\nC.noise\nD.blur", "answer": "A"}
{"id": "2c841d7e-865a-4e1c-ac05-c7cdb4fa5425", "image_1": "Perception/paired/2c841d7e-865a-4e1c-ac05-c7cdb4fa5425_0.png", "image_2": "Perception/paired/2c841d7e-865a-4e1c-ac05-c7cdb4fa5425_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.image compression\nB.image stretching\nC.blur\nD.color distortion", "answer": "A"}
{"id": "39738e9b-5dcb-43de-8b85-e534ed0c6c16", "image_1": "Perception/paired/39738e9b-5dcb-43de-8b85-e534ed0c6c16_0.png", "image_2": "Perception/paired/39738e9b-5dcb-43de-8b85-e534ed0c6c16_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.image compression\nB.blur\nC.color distortion\nD.image stretching", "answer": "A"}
{"id": "fa92967d-b530-40a4-82e4-b8139fe1cfe2", "image_1": "Perception/paired/fa92967d-b530-40a4-82e4-b8139fe1cfe2_0.png", "image_2": "Perception/paired/fa92967d-b530-40a4-82e4-b8139fe1cfe2_1.png", "question": "Identify the main distortion introduced between the two images.\nA.dead pixel\nB.image compression\nC.noise\nD.No distortion", "answer": "B"}
{"id": "9d5b9f80-f3d8-4edc-a598-31b08fdb1944", "image_1": "Perception/paired/9d5b9f80-f3d8-4edc-a598-31b08fdb1944_0.png", "image_2": "Perception/paired/9d5b9f80-f3d8-4edc-a598-31b08fdb1944_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.dead pixel\nB.cloud\nC.image compression\nD.haze", "answer": "C"}
{"id": "0287bb65-8c97-4778-9164-43920770626c", "image_1": "Perception/paired/0287bb65-8c97-4778-9164-43920770626c_0.png", "image_2": "Perception/paired/0287bb65-8c97-4778-9164-43920770626c_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.image compression\nB.blur\nC.No distortion\nD.missing tiles", "answer": "A"}
{"id": "56c9ae92-7113-4fd2-ad5f-6b5eb87c8b6c", "image_1": "Perception/paired/56c9ae92-7113-4fd2-ad5f-6b5eb87c8b6c_0.png", "image_2": "Perception/paired/56c9ae92-7113-4fd2-ad5f-6b5eb87c8b6c_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.haze\nB.missing tiles\nC.image compression\nD.cloud", "answer": "C"}
{"id": "fc9ec102-b2af-472e-b310-107160967469", "image_1": "Perception/paired/fc9ec102-b2af-472e-b310-107160967469_0.png", "image_2": "Perception/paired/fc9ec102-b2af-472e-b310-107160967469_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.missing tiles\nC.No distortion\nD.image stretching", "answer": "C"}
{"id": "f6b03405-2629-4fe7-a21a-f2be2ea31b63", "image_1": "Perception/paired/f6b03405-2629-4fe7-a21a-f2be2ea31b63_0.png", "image_2": "Perception/paired/f6b03405-2629-4fe7-a21a-f2be2ea31b63_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.image stretching\nC.dead pixel\nD.image compression", "answer": "D"}
{"id": "e0791e23-33f2-4fb4-b77e-20217c8d33e1", "image_1": "Perception/paired/e0791e23-33f2-4fb4-b77e-20217c8d33e1_0.png", "image_2": "Perception/paired/e0791e23-33f2-4fb4-b77e-20217c8d33e1_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.image stretching\nC.image compression\nD.haze", "answer": "C"}
{"id": "7f51f4c7-1ecc-4b04-b7dd-391391893ff7", "image_1": "Perception/paired/7f51f4c7-1ecc-4b04-b7dd-391391893ff7_0.png", "image_2": "Perception/paired/7f51f4c7-1ecc-4b04-b7dd-391391893ff7_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.No distortion\nB.blur\nC.image stretching\nD.haze", "answer": "A"}
{"id": "d81a19a6-c93f-4954-ab60-e4c42197482a", "image_1": "Perception/paired/d81a19a6-c93f-4954-ab60-e4c42197482a_0.png", "image_2": "Perception/paired/d81a19a6-c93f-4954-ab60-e4c42197482a_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.image stretching\nC.cloud\nD.image compression", "answer": "D"}
{"id": "7b277f0a-0ebd-4fce-9f4c-a179a31d2d97", "image_1": "Perception/paired/7b277f0a-0ebd-4fce-9f4c-a179a31d2d97_0.png", "image_2": "Perception/paired/7b277f0a-0ebd-4fce-9f4c-a179a31d2d97_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.color distortion\nB.haze\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "6be9bd4b-0fc0-40da-a4be-1ee087e82298", "image_1": "Perception/paired/6be9bd4b-0fc0-40da-a4be-1ee087e82298_0.png", "image_2": "Perception/paired/6be9bd4b-0fc0-40da-a4be-1ee087e82298_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.color distortion\nC.missing tiles\nD.image compression", "answer": "A"}
{"id": "a5d95e4d-d147-4a8e-8874-ba05cbc8a432", "image_1": "Perception/paired/a5d95e4d-d147-4a8e-8874-ba05cbc8a432_0.png", "image_2": "Perception/paired/a5d95e4d-d147-4a8e-8874-ba05cbc8a432_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.image compression\nC.haze\nD.No distortion", "answer": "B"}
{"id": "89348733-bad0-4afc-b172-1f729ef634c4", "image_1": "Perception/paired/89348733-bad0-4afc-b172-1f729ef634c4_0.png", "image_2": "Perception/paired/89348733-bad0-4afc-b172-1f729ef634c4_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image compression\nB.No distortion\nC.color distortion\nD.blur", "answer": "A"}
{"id": "6d0c373e-2245-4037-9847-fe6e8e976f69", "image_1": "Perception/paired/6d0c373e-2245-4037-9847-fe6e8e976f69_0.png", "image_2": "Perception/paired/6d0c373e-2245-4037-9847-fe6e8e976f69_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.image compression\nC.No distortion\nD.noise", "answer": "B"}
{"id": "38cebc79-4b8f-43b5-8cef-019ba3b44ce1", "image_1": "Perception/paired/38cebc79-4b8f-43b5-8cef-019ba3b44ce1_0.png", "image_2": "Perception/paired/38cebc79-4b8f-43b5-8cef-019ba3b44ce1_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.image compression\nB.cloud\nC.noise\nD.No distortion", "answer": "A"}
{"id": "d020806f-6568-4ce7-8b09-2892530e1198", "image_1": "Perception/paired/d020806f-6568-4ce7-8b09-2892530e1198_0.png", "image_2": "Perception/paired/d020806f-6568-4ce7-8b09-2892530e1198_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image compression\nB.image stretching\nC.haze\nD.No distortion", "answer": "D"}
{"id": "e968c0fb-5926-4fef-9d27-f8503268c753", "image_1": "Perception/paired/e968c0fb-5926-4fef-9d27-f8503268c753_0.png", "image_2": "Perception/paired/e968c0fb-5926-4fef-9d27-f8503268c753_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.No distortion\nC.image compression\nD.cloud", "answer": "C"}
{"id": "49f06818-ec40-4d86-8adc-e8ac3a7d8adb", "image_1": "Perception/paired/49f06818-ec40-4d86-8adc-e8ac3a7d8adb_0.png", "image_2": "Perception/paired/49f06818-ec40-4d86-8adc-e8ac3a7d8adb_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.noise\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "4524ceda-2bbd-4bc9-8f60-add78f7458ed", "image_1": "Perception/paired/4524ceda-2bbd-4bc9-8f60-add78f7458ed_0.png", "image_2": "Perception/paired/4524ceda-2bbd-4bc9-8f60-add78f7458ed_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image compression\nB.No distortion\nC.haze\nD.color distortion", "answer": "A"}
{"id": "4633f820-7a8b-495c-8803-a8e3bed0b81a", "image_1": "Perception/paired/4633f820-7a8b-495c-8803-a8e3bed0b81a_0.png", "image_2": "Perception/paired/4633f820-7a8b-495c-8803-a8e3bed0b81a_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "A"}
{"id": "744088ca-a7ac-4bcc-80df-0470051695c4", "image_1": "Perception/paired/744088ca-a7ac-4bcc-80df-0470051695c4_0.png", "image_2": "Perception/paired/744088ca-a7ac-4bcc-80df-0470051695c4_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "1e221227-fa23-41c3-b7c1-91d5e8112ce9", "image_1": "Perception/paired/1e221227-fa23-41c3-b7c1-91d5e8112ce9_0.png", "image_2": "Perception/paired/1e221227-fa23-41c3-b7c1-91d5e8112ce9_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.color distortion\nB.No distortion\nC.image compression\nD.missing tiles", "answer": "C"}
{"id": "bd4748d4-262f-4105-99d6-91afe4ddb29a", "image_1": "Perception/paired/bd4748d4-262f-4105-99d6-91afe4ddb29a_0.png", "image_2": "Perception/paired/bd4748d4-262f-4105-99d6-91afe4ddb29a_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.blur\nB.No distortion\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "5355098c-84f3-4473-8ad4-4213d3e8fbcc", "image_1": "Perception/paired/5355098c-84f3-4473-8ad4-4213d3e8fbcc_0.png", "image_2": "Perception/paired/5355098c-84f3-4473-8ad4-4213d3e8fbcc_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "6c70af67-36c4-482f-873b-ef7e03edc70d", "image_1": "Perception/paired/6c70af67-36c4-482f-873b-ef7e03edc70d_0.png", "image_2": "Perception/paired/6c70af67-36c4-482f-873b-ef7e03edc70d_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.image compression\nC.noise\nD.image stretching", "answer": "B"}
{"id": "f57ab3d3-2ee7-477d-b646-715a60a888f0", "image_1": "Perception/paired/f57ab3d3-2ee7-477d-b646-715a60a888f0_0.png", "image_2": "Perception/paired/f57ab3d3-2ee7-477d-b646-715a60a888f0_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.missing tiles\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "f719b57b-9b44-4e3c-b7ed-6bf1e2e261ad", "image_1": "Perception/paired/f719b57b-9b44-4e3c-b7ed-6bf1e2e261ad_0.png", "image_2": "Perception/paired/f719b57b-9b44-4e3c-b7ed-6bf1e2e261ad_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.color distortion\nC.image compression\nD.dead pixel", "answer": "C"}
{"id": "d458fcd1-0710-4c0a-8141-0456bc2c470a", "image_1": "Perception/paired/d458fcd1-0710-4c0a-8141-0456bc2c470a_0.png", "image_2": "Perception/paired/d458fcd1-0710-4c0a-8141-0456bc2c470a_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.image compression\nB.No distortion\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "ac43f087-ac19-42ba-a011-ab8bff346649", "image_1": "Perception/paired/ac43f087-ac19-42ba-a011-ab8bff346649_0.png", "image_2": "Perception/paired/ac43f087-ac19-42ba-a011-ab8bff346649_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.image compression\nD.missing tiles", "answer": "C"}
{"id": "5eca5798-9eaf-4423-b94f-da5944a395b1", "image_1": "Perception/paired/5eca5798-9eaf-4423-b94f-da5944a395b1_0.png", "image_2": "Perception/paired/5eca5798-9eaf-4423-b94f-da5944a395b1_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "94b06229-b93a-468e-ac08-c7901efcc465", "image_1": "Perception/paired/94b06229-b93a-468e-ac08-c7901efcc465_0.png", "image_2": "Perception/paired/94b06229-b93a-468e-ac08-c7901efcc465_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "f44bfa52-4deb-4899-8851-f7c603cb7d4e", "image_1": "Perception/paired/f44bfa52-4deb-4899-8851-f7c603cb7d4e_0.png", "image_2": "Perception/paired/f44bfa52-4deb-4899-8851-f7c603cb7d4e_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.cloud\nC.image compression\nD.blur", "answer": "C"}
{"id": "cf6d1bd2-f71b-4559-90e6-a869701e2ca6", "image_1": "Perception/paired/cf6d1bd2-f71b-4559-90e6-a869701e2ca6_0.png", "image_2": "Perception/paired/cf6d1bd2-f71b-4559-90e6-a869701e2ca6_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.cloud\nB.dead pixel\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "b9e8941c-4578-46f0-a6a1-5b6551d2b0cf", "image_1": "Perception/paired/b9e8941c-4578-46f0-a6a1-5b6551d2b0cf_0.png", "image_2": "Perception/paired/b9e8941c-4578-46f0-a6a1-5b6551d2b0cf_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.image compression\nC.color distortion\nD.cloud", "answer": "B"}
{"id": "cb4b9b55-da44-4249-aa9c-48eb85d337c4", "image_1": "Perception/paired/cb4b9b55-da44-4249-aa9c-48eb85d337c4_0.png", "image_2": "Perception/paired/cb4b9b55-da44-4249-aa9c-48eb85d337c4_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.haze\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "36c9bdf0-edfe-45b9-9f0e-00e25bbe134b", "image_1": "Perception/paired/36c9bdf0-edfe-45b9-9f0e-00e25bbe134b_0.png", "image_2": "Perception/paired/36c9bdf0-edfe-45b9-9f0e-00e25bbe134b_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.cloud\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "39c6ec2d-1dcb-48a7-a669-ca78da6b6aa1", "image_1": "Perception/paired/39c6ec2d-1dcb-48a7-a669-ca78da6b6aa1_0.png", "image_2": "Perception/paired/39c6ec2d-1dcb-48a7-a669-ca78da6b6aa1_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.No distortion\nC.noise\nD.image compression", "answer": "D"}
{"id": "ff68f514-bc07-4107-86b2-0ba79fc687b2", "image_1": "Perception/paired/ff68f514-bc07-4107-86b2-0ba79fc687b2_0.png", "image_2": "Perception/paired/ff68f514-bc07-4107-86b2-0ba79fc687b2_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.blur\nB.No distortion\nC.cloud\nD.noise", "answer": "B"}
{"id": "7d9123d9-6656-4120-8384-771db149c9cb", "image_1": "Perception/paired/7d9123d9-6656-4120-8384-771db149c9cb_0.png", "image_2": "Perception/paired/7d9123d9-6656-4120-8384-771db149c9cb_1.png", "question": "Identify the main distortion introduced between the two images.\nA.cloud\nB.blur\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "3470935b-f4a0-40f1-be67-b4d8edc8a0c9", "image_1": "Perception/paired/3470935b-f4a0-40f1-be67-b4d8edc8a0c9_0.png", "image_2": "Perception/paired/3470935b-f4a0-40f1-be67-b4d8edc8a0c9_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.missing tiles\nB.color distortion\nC.image compression\nD.haze", "answer": "C"}
{"id": "29e04f85-92e9-44fd-a5bf-ec15d0641c4e", "image_1": "Perception/paired/29e04f85-92e9-44fd-a5bf-ec15d0641c4e_0.png", "image_2": "Perception/paired/29e04f85-92e9-44fd-a5bf-ec15d0641c4e_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.missing tiles\nB.cloud\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "fcdbce57-8154-4b8f-b2a8-b2cb6d82da88", "image_1": "Perception/paired/fcdbce57-8154-4b8f-b2a8-b2cb6d82da88_0.png", "image_2": "Perception/paired/fcdbce57-8154-4b8f-b2a8-b2cb6d82da88_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.missing tiles\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "C"}
{"id": "c19284ea-9e8e-4ba3-b804-d5812b1c0a72", "image_1": "Perception/paired/c19284ea-9e8e-4ba3-b804-d5812b1c0a72_0.png", "image_2": "Perception/paired/c19284ea-9e8e-4ba3-b804-d5812b1c0a72_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.image compression\nC.haze\nD.No distortion", "answer": "B"}
{"id": "7f3a0f3b-1701-41b7-8d31-c1367633cfc6", "image_1": "Perception/paired/7f3a0f3b-1701-41b7-8d31-c1367633cfc6_0.png", "image_2": "Perception/paired/7f3a0f3b-1701-41b7-8d31-c1367633cfc6_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.image compression\nC.image stretching\nD.No distortion", "answer": "B"}
{"id": "28f33570-9c78-4e7f-adaa-75aa3017943b", "image_1": "Perception/paired/28f33570-9c78-4e7f-adaa-75aa3017943b_0.png", "image_2": "Perception/paired/28f33570-9c78-4e7f-adaa-75aa3017943b_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.blur\nB.missing tiles\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "dbaf922d-dff5-4764-9152-d32dc1a2a641", "image_1": "Perception/paired/dbaf922d-dff5-4764-9152-d32dc1a2a641_0.png", "image_2": "Perception/paired/dbaf922d-dff5-4764-9152-d32dc1a2a641_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.blur\nB.noise\nC.image compression\nD.image stretching", "answer": "C"}
{"id": "96708bbc-6f50-4d28-a2a6-410762247140", "image_1": "Perception/paired/96708bbc-6f50-4d28-a2a6-410762247140_0.png", "image_2": "Perception/paired/96708bbc-6f50-4d28-a2a6-410762247140_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image stretching\nB.haze\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "f7d2d4f8-7886-4000-83cd-78e8c8d8a6c2", "image_1": "Perception/paired/f7d2d4f8-7886-4000-83cd-78e8c8d8a6c2_0.png", "image_2": "Perception/paired/f7d2d4f8-7886-4000-83cd-78e8c8d8a6c2_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.haze\nB.image compression\nC.color distortion\nD.No distortion", "answer": "B"}
{"id": "749e5d5c-dd27-4702-896d-8be0bd85d9ec", "image_1": "Perception/paired/749e5d5c-dd27-4702-896d-8be0bd85d9ec_0.png", "image_2": "Perception/paired/749e5d5c-dd27-4702-896d-8be0bd85d9ec_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.missing tiles\nB.No distortion\nC.dead pixel\nD.image compression", "answer": "D"}
{"id": "0e9f7e8d-fdd8-4ea1-b3df-e52cc5ffe7fd", "image_1": "Perception/paired/0e9f7e8d-fdd8-4ea1-b3df-e52cc5ffe7fd_0.png", "image_2": "Perception/paired/0e9f7e8d-fdd8-4ea1-b3df-e52cc5ffe7fd_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.blur\nB.dead pixel\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "32cfda83-28df-49ff-86b4-c7a293c34120", "image_1": "Perception/paired/32cfda83-28df-49ff-86b4-c7a293c34120_0.png", "image_2": "Perception/paired/32cfda83-28df-49ff-86b4-c7a293c34120_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.haze\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "23e43022-4d1a-43c2-99bb-f9bdb24372d2", "image_1": "Perception/paired/23e43022-4d1a-43c2-99bb-f9bdb24372d2_0.png", "image_2": "Perception/paired/23e43022-4d1a-43c2-99bb-f9bdb24372d2_1.png", "question": "Identify the main distortion introduced between the two images.\nA.cloud\nB.color distortion\nC.haze\nD.image compression", "answer": "D"}
{"id": "1a17a49f-21de-49c2-9dc7-a216ccec5a68", "image_1": "Perception/paired/1a17a49f-21de-49c2-9dc7-a216ccec5a68_0.png", "image_2": "Perception/paired/1a17a49f-21de-49c2-9dc7-a216ccec5a68_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.dead pixel\nB.cloud\nC.image compression\nD.noise", "answer": "C"}
{"id": "e8d478e2-6dfc-4b69-8828-282a0afaea79", "image_1": "Perception/paired/e8d478e2-6dfc-4b69-8828-282a0afaea79_0.png", "image_2": "Perception/paired/e8d478e2-6dfc-4b69-8828-282a0afaea79_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.image compression\nB.noise\nC.No distortion\nD.blur", "answer": "A"}
{"id": "de362633-c17c-4ca5-90ae-f90fc96eee90", "image_1": "Perception/paired/de362633-c17c-4ca5-90ae-f90fc96eee90_0.png", "image_2": "Perception/paired/de362633-c17c-4ca5-90ae-f90fc96eee90_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.No distortion\nB.image compression\nC.color distortion\nD.haze", "answer": "B"}
{"id": "b7ede81e-2af5-4e84-93a8-a74dd0a5d383", "image_1": "Perception/paired/b7ede81e-2af5-4e84-93a8-a74dd0a5d383_0.png", "image_2": "Perception/paired/b7ede81e-2af5-4e84-93a8-a74dd0a5d383_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.image compression\nB.cloud\nC.missing tiles\nD.blur", "answer": "A"}
{"id": "2322a0fa-bd57-4413-aeb1-24b3fbb024af", "image_1": "Perception/paired/2322a0fa-bd57-4413-aeb1-24b3fbb024af_0.png", "image_2": "Perception/paired/2322a0fa-bd57-4413-aeb1-24b3fbb024af_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.image stretching\nC.image compression\nD.cloud", "answer": "C"}
{"id": "16aa8bd6-89a1-47d5-af79-12a7adde31f5", "image_1": "Perception/paired/16aa8bd6-89a1-47d5-af79-12a7adde31f5_0.png", "image_2": "Perception/paired/16aa8bd6-89a1-47d5-af79-12a7adde31f5_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.noise\nB.image compression\nC.dead pixel\nD.color distortion", "answer": "B"}
{"id": "9116fa63-5037-4bf3-9251-523637a9bfff", "image_1": "Perception/paired/9116fa63-5037-4bf3-9251-523637a9bfff_0.png", "image_2": "Perception/paired/9116fa63-5037-4bf3-9251-523637a9bfff_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.missing tiles\nC.haze\nD.dead pixel", "answer": "A"}
{"id": "fab2f792-c53e-4f7a-9f41-1d8309bcd735", "image_1": "Perception/paired/fab2f792-c53e-4f7a-9f41-1d8309bcd735_0.png", "image_2": "Perception/paired/fab2f792-c53e-4f7a-9f41-1d8309bcd735_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.missing tiles\nC.No distortion\nD.image stretching", "answer": "C"}
{"id": "ea4353cd-2e86-4de0-a24e-47ae734a1790", "image_1": "Perception/paired/ea4353cd-2e86-4de0-a24e-47ae734a1790_0.png", "image_2": "Perception/paired/ea4353cd-2e86-4de0-a24e-47ae734a1790_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.image stretching\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "a904eada-25f3-4328-8249-23fe4517a5f0", "image_1": "Perception/paired/a904eada-25f3-4328-8249-23fe4517a5f0_0.png", "image_2": "Perception/paired/a904eada-25f3-4328-8249-23fe4517a5f0_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.image stretching\nC.No distortion\nD.haze", "answer": "C"}
{"id": "99125b24-b280-4c13-aadf-d843f4a466a6", "image_1": "Perception/paired/99125b24-b280-4c13-aadf-d843f4a466a6_0.png", "image_2": "Perception/paired/99125b24-b280-4c13-aadf-d843f4a466a6_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.image compression\nB.blur\nC.image stretching\nD.haze", "answer": "A"}
{"id": "87b7198e-8780-4e85-8cac-746dd545413d", "image_1": "Perception/paired/87b7198e-8780-4e85-8cac-746dd545413d_0.png", "image_2": "Perception/paired/87b7198e-8780-4e85-8cac-746dd545413d_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.image stretching\nC.cloud\nD.image compression", "answer": "D"}
{"id": "1ff115dc-0fef-473f-b242-e13fa22d40cb", "image_1": "Perception/paired/1ff115dc-0fef-473f-b242-e13fa22d40cb_0.png", "image_2": "Perception/paired/1ff115dc-0fef-473f-b242-e13fa22d40cb_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.color distortion\nB.haze\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "82295845-04b8-4c70-b8f6-2c6237212794", "image_1": "Perception/paired/82295845-04b8-4c70-b8f6-2c6237212794_0.png", "image_2": "Perception/paired/82295845-04b8-4c70-b8f6-2c6237212794_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.color distortion\nC.missing tiles\nD.No distortion", "answer": "A"}
{"id": "430bdf94-0824-4b3a-b7b5-07cb2219c8d7", "image_1": "Perception/paired/430bdf94-0824-4b3a-b7b5-07cb2219c8d7_0.png", "image_2": "Perception/paired/430bdf94-0824-4b3a-b7b5-07cb2219c8d7_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "4018aced-cebc-482a-8205-c8bbf0dd0bb9", "image_1": "Perception/paired/4018aced-cebc-482a-8205-c8bbf0dd0bb9_0.png", "image_2": "Perception/paired/4018aced-cebc-482a-8205-c8bbf0dd0bb9_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image compression\nC.color distortion\nD.blur", "answer": "A"}
{"id": "984ad7d8-42eb-41f5-8f47-1255db742717", "image_1": "Perception/paired/984ad7d8-42eb-41f5-8f47-1255db742717_0.png", "image_2": "Perception/paired/984ad7d8-42eb-41f5-8f47-1255db742717_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.No distortion\nC.image compression\nD.noise", "answer": "B"}
{"id": "82fd2c25-b12f-410e-892f-81f776e30323", "image_1": "Perception/paired/82fd2c25-b12f-410e-892f-81f776e30323_0.png", "image_2": "Perception/paired/82fd2c25-b12f-410e-892f-81f776e30323_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.image compression\nB.cloud\nC.noise\nD.No distortion", "answer": "A"}
{"id": "ef10295f-b116-43f9-b99e-d3959c860ad0", "image_1": "Perception/paired/ef10295f-b116-43f9-b99e-d3959c860ad0_0.png", "image_2": "Perception/paired/ef10295f-b116-43f9-b99e-d3959c860ad0_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image compression\nB.image stretching\nC.haze\nD.No distortion", "answer": "D"}
{"id": "2093f00b-6e1c-4c69-b1ae-cc446fcc1f79", "image_1": "Perception/paired/2093f00b-6e1c-4c69-b1ae-cc446fcc1f79_0.png", "image_2": "Perception/paired/2093f00b-6e1c-4c69-b1ae-cc446fcc1f79_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.No distortion\nC.image compression\nD.cloud", "answer": "C"}
{"id": "b9fe311a-feaa-42e2-85fe-a34503df8f7e", "image_1": "Perception/paired/b9fe311a-feaa-42e2-85fe-a34503df8f7e_0.png", "image_2": "Perception/paired/b9fe311a-feaa-42e2-85fe-a34503df8f7e_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.noise\nC.image compression\nD.dead pixel", "answer": "C"}
{"id": "85bae569-a34b-4595-a0b3-9c018ff6b9d0", "image_1": "Perception/paired/85bae569-a34b-4595-a0b3-9c018ff6b9d0_0.png", "image_2": "Perception/paired/85bae569-a34b-4595-a0b3-9c018ff6b9d0_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image compression\nB.No distortion\nC.haze\nD.color distortion", "answer": "A"}
{"id": "348c1f35-8b6d-466d-a36d-6921a0793473", "image_1": "Perception/paired/348c1f35-8b6d-466d-a36d-6921a0793473_0.png", "image_2": "Perception/paired/348c1f35-8b6d-466d-a36d-6921a0793473_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "A"}
{"id": "0c346916-32d2-4c7b-81c7-a59b9a716463", "image_1": "Perception/paired/0c346916-32d2-4c7b-81c7-a59b9a716463_0.png", "image_2": "Perception/paired/0c346916-32d2-4c7b-81c7-a59b9a716463_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "ae58ee42-01cb-4095-a6ec-445be77d7a6b", "image_1": "Perception/paired/ae58ee42-01cb-4095-a6ec-445be77d7a6b_0.png", "image_2": "Perception/paired/ae58ee42-01cb-4095-a6ec-445be77d7a6b_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.color distortion\nB.No distortion\nC.image compression\nD.missing tiles", "answer": "C"}
{"id": "37854e53-475c-4bae-8a80-e447ad5e2d0b", "image_1": "Perception/paired/37854e53-475c-4bae-8a80-e447ad5e2d0b_0.png", "image_2": "Perception/paired/37854e53-475c-4bae-8a80-e447ad5e2d0b_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.blur\nB.image compression\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "3bb83d44-403a-4fa0-b34e-642a17571a17", "image_1": "Perception/paired/3bb83d44-403a-4fa0-b34e-642a17571a17_0.png", "image_2": "Perception/paired/3bb83d44-403a-4fa0-b34e-642a17571a17_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "e3e966d8-e121-4b99-b17c-54d4e1cf64e4", "image_1": "Perception/paired/e3e966d8-e121-4b99-b17c-54d4e1cf64e4_0.png", "image_2": "Perception/paired/e3e966d8-e121-4b99-b17c-54d4e1cf64e4_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.image compression\nC.noise\nD.image stretching", "answer": "B"}
{"id": "938587e8-ef01-420b-b30d-4d1d4a46ee3e", "image_1": "Perception/paired/938587e8-ef01-420b-b30d-4d1d4a46ee3e_0.png", "image_2": "Perception/paired/938587e8-ef01-420b-b30d-4d1d4a46ee3e_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "c5255fdb-6e14-4485-a53c-c80d13884c88", "image_1": "Perception/paired/c5255fdb-6e14-4485-a53c-c80d13884c88_0.png", "image_2": "Perception/paired/c5255fdb-6e14-4485-a53c-c80d13884c88_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.color distortion\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "dc0eead0-f2c1-4479-ab37-912b6ad007d6", "image_1": "Perception/paired/dc0eead0-f2c1-4479-ab37-912b6ad007d6_0.png", "image_2": "Perception/paired/dc0eead0-f2c1-4479-ab37-912b6ad007d6_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.No distortion\nB.image compression\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "3a55a147-15e3-44a9-babe-e0e5cfe7796a", "image_1": "Perception/paired/3a55a147-15e3-44a9-babe-e0e5cfe7796a_0.png", "image_2": "Perception/paired/3a55a147-15e3-44a9-babe-e0e5cfe7796a_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.image compression\nD.missing tiles", "answer": "C"}
{"id": "d87b0d09-b93d-4e9f-8835-203addedc1a6", "image_1": "Perception/paired/d87b0d09-b93d-4e9f-8835-203addedc1a6_0.png", "image_2": "Perception/paired/d87b0d09-b93d-4e9f-8835-203addedc1a6_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "f2e5010b-82c0-4dfa-aa3d-f7fa3d6b23e5", "image_1": "Perception/paired/f2e5010b-82c0-4dfa-aa3d-f7fa3d6b23e5_0.png", "image_2": "Perception/paired/f2e5010b-82c0-4dfa-aa3d-f7fa3d6b23e5_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.No distortion\nC.noise\nD.image compression", "answer": "D"}
{"id": "c009dba1-4daf-458b-9b93-1360701afae8", "image_1": "Perception/paired/c009dba1-4daf-458b-9b93-1360701afae8_0.png", "image_2": "Perception/paired/c009dba1-4daf-458b-9b93-1360701afae8_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.cloud\nC.image compression\nD.blur", "answer": "C"}
{"id": "ee55bee3-5a3a-4e3e-abe8-43cf109ee8ae", "image_1": "Perception/paired/ee55bee3-5a3a-4e3e-abe8-43cf109ee8ae_0.png", "image_2": "Perception/paired/ee55bee3-5a3a-4e3e-abe8-43cf109ee8ae_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.cloud\nB.dead pixel\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "70dce499-d9c8-4518-a6df-3c32494ce473", "image_1": "Perception/paired/70dce499-d9c8-4518-a6df-3c32494ce473_0.png", "image_2": "Perception/paired/70dce499-d9c8-4518-a6df-3c32494ce473_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.No distortion\nC.color distortion\nD.cloud", "answer": "B"}
{"id": "8e83295a-145f-4a2d-a881-c7899ae38779", "image_1": "Perception/paired/8e83295a-145f-4a2d-a881-c7899ae38779_0.png", "image_2": "Perception/paired/8e83295a-145f-4a2d-a881-c7899ae38779_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.haze\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "8b28a632-7868-4dab-bae4-4cb7835e7887", "image_1": "Perception/paired/8b28a632-7868-4dab-bae4-4cb7835e7887_0.png", "image_2": "Perception/paired/8b28a632-7868-4dab-bae4-4cb7835e7887_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.cloud\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "025033b4-9ba4-4705-9dd1-88e13d915204", "image_1": "Perception/paired/025033b4-9ba4-4705-9dd1-88e13d915204_0.png", "image_2": "Perception/paired/025033b4-9ba4-4705-9dd1-88e13d915204_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.No distortion\nC.noise\nD.image compression", "answer": "D"}
{"id": "85fb13e9-cf45-41ee-8e8a-808b2232ae58", "image_1": "Perception/paired/85fb13e9-cf45-41ee-8e8a-808b2232ae58_0.png", "image_2": "Perception/paired/85fb13e9-cf45-41ee-8e8a-808b2232ae58_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.blur\nB.image compression\nC.cloud\nD.noise", "answer": "B"}
{"id": "7589e0ae-2f89-4a7c-9af0-b0dedd07d864", "image_1": "Perception/paired/7589e0ae-2f89-4a7c-9af0-b0dedd07d864_0.png", "image_2": "Perception/paired/7589e0ae-2f89-4a7c-9af0-b0dedd07d864_1.png", "question": "Identify the main distortion introduced between the two images.\nA.cloud\nB.blur\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "56e75717-8088-469b-bfff-fc7d734fb916", "image_1": "Perception/paired/56e75717-8088-469b-bfff-fc7d734fb916_0.png", "image_2": "Perception/paired/56e75717-8088-469b-bfff-fc7d734fb916_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.missing tiles\nB.color distortion\nC.image compression\nD.haze", "answer": "C"}
{"id": "ff251892-b135-4473-91b4-dc3992d57975", "image_1": "Perception/paired/ff251892-b135-4473-91b4-dc3992d57975_0.png", "image_2": "Perception/paired/ff251892-b135-4473-91b4-dc3992d57975_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.missing tiles\nB.cloud\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "1cb23fc7-079e-4e2a-a877-ef39a070bb6b", "image_1": "Perception/paired/1cb23fc7-079e-4e2a-a877-ef39a070bb6b_0.png", "image_2": "Perception/paired/1cb23fc7-079e-4e2a-a877-ef39a070bb6b_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.missing tiles\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "C"}
{"id": "2292b63b-7c2e-45f3-b8ee-106705547eff", "image_1": "Perception/paired/2292b63b-7c2e-45f3-b8ee-106705547eff_0.png", "image_2": "Perception/paired/2292b63b-7c2e-45f3-b8ee-106705547eff_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.image compression\nC.haze\nD.No distortion", "answer": "B"}
{"id": "dd63f1e1-625b-4b99-94a8-18c8f69e4064", "image_1": "Perception/paired/dd63f1e1-625b-4b99-94a8-18c8f69e4064_0.png", "image_2": "Perception/paired/dd63f1e1-625b-4b99-94a8-18c8f69e4064_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.image compression\nC.image stretching\nD.No distortion", "answer": "B"}
{"id": "ed5fb932-6b24-4bd1-8fb8-9b555c47b634", "image_1": "Perception/paired/ed5fb932-6b24-4bd1-8fb8-9b555c47b634_0.png", "image_2": "Perception/paired/ed5fb932-6b24-4bd1-8fb8-9b555c47b634_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.dead pixel\nC.image compression\nD.haze", "answer": "C"}
{"id": "8ab0589e-5b9a-44c2-b6b2-fff4a6b788fa", "image_1": "Perception/paired/8ab0589e-5b9a-44c2-b6b2-fff4a6b788fa_0.png", "image_2": "Perception/paired/8ab0589e-5b9a-44c2-b6b2-fff4a6b788fa_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.missing tiles\nC.haze\nD.image compression", "answer": "D"}
{"id": "3f0736a3-7dce-45f9-80e8-0d39b28a6af8", "image_1": "Perception/paired/3f0736a3-7dce-45f9-80e8-0d39b28a6af8_0.png", "image_2": "Perception/paired/3f0736a3-7dce-45f9-80e8-0d39b28a6af8_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.blur\nB.image compression\nC.dead pixel\nD.missing tiles", "answer": "B"}
{"id": "4fff0729-f22d-4033-b130-07db7fdacff3", "image_1": "Perception/paired/4fff0729-f22d-4033-b130-07db7fdacff3_0.png", "image_2": "Perception/paired/4fff0729-f22d-4033-b130-07db7fdacff3_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.dead pixel\nB.image compression\nC.color distortion\nD.haze", "answer": "B"}
{"id": "daaab962-2120-4f3d-973b-052e5a3a065d", "image_1": "Perception/paired/daaab962-2120-4f3d-973b-052e5a3a065d_0.png", "image_2": "Perception/paired/daaab962-2120-4f3d-973b-052e5a3a065d_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.noise\nB.No distortion\nC.dead pixel\nD.image compression", "answer": "D"}
{"id": "b808ede9-7e0d-4e26-8cfb-16ac0fc2fee8", "image_1": "Perception/paired/b808ede9-7e0d-4e26-8cfb-16ac0fc2fee8_0.png", "image_2": "Perception/paired/b808ede9-7e0d-4e26-8cfb-16ac0fc2fee8_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.haze\nC.image stretching\nD.missing tiles", "answer": "A"}
{"id": "6a6389da-ccae-450f-86f9-0a1a219bc715", "image_1": "Perception/paired/6a6389da-ccae-450f-86f9-0a1a219bc715_0.png", "image_2": "Perception/paired/6a6389da-ccae-450f-86f9-0a1a219bc715_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.cloud\nB.image stretching\nC.image compression\nD.haze", "answer": "C"}
{"id": "098bf31b-84e8-444a-8088-85fb41ca3292", "image_1": "Perception/paired/098bf31b-84e8-444a-8088-85fb41ca3292_0.png", "image_2": "Perception/paired/098bf31b-84e8-444a-8088-85fb41ca3292_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.missing tiles\nB.blur\nC.color distortion\nD.image compression", "answer": "D"}
{"id": "2f950bea-8713-4360-af3f-8231bfaa85e5", "image_1": "Perception/paired/2f950bea-8713-4360-af3f-8231bfaa85e5_0.png", "image_2": "Perception/paired/2f950bea-8713-4360-af3f-8231bfaa85e5_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.No distortion\nB.dead pixel\nC.noise\nD.image compression", "answer": "D"}
{"id": "cd5db4ce-4d5d-4ea3-83f8-2aea916a802f", "image_1": "Perception/paired/cd5db4ce-4d5d-4ea3-83f8-2aea916a802f_0.png", "image_2": "Perception/paired/cd5db4ce-4d5d-4ea3-83f8-2aea916a802f_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.blur\nB.image compression\nC.image stretching\nD.No distortion", "answer": "B"}
{"id": "97c5fad5-7d43-413e-9a1e-8c80aaf2669b", "image_1": "Perception/paired/97c5fad5-7d43-413e-9a1e-8c80aaf2669b_0.png", "image_2": "Perception/paired/97c5fad5-7d43-413e-9a1e-8c80aaf2669b_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.image compression\nC.color distortion\nD.dead pixel", "answer": "B"}
{"id": "f3c072e0-c2fe-47d2-8125-18a77d9a1a0a", "image_1": "Perception/paired/f3c072e0-c2fe-47d2-8125-18a77d9a1a0a_0.png", "image_2": "Perception/paired/f3c072e0-c2fe-47d2-8125-18a77d9a1a0a_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.noise\nB.cloud\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "748e855e-9d78-4fe2-acea-0e039b0e4c41", "image_1": "Perception/paired/748e855e-9d78-4fe2-acea-0e039b0e4c41_0.png", "image_2": "Perception/paired/748e855e-9d78-4fe2-acea-0e039b0e4c41_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.noise\nC.image compression\nD.dead pixel", "answer": "C"}
{"id": "be395c38-7a16-406c-8575-97e02d6c3def", "image_1": "Perception/paired/be395c38-7a16-406c-8575-97e02d6c3def_0.png", "image_2": "Perception/paired/be395c38-7a16-406c-8575-97e02d6c3def_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.haze\nB.missing tiles\nC.noise\nD.image compression", "answer": "D"}
{"id": "f99fd0f7-e522-4271-8ac5-7a15463d5015", "image_1": "Perception/paired/f99fd0f7-e522-4271-8ac5-7a15463d5015_0.png", "image_2": "Perception/paired/f99fd0f7-e522-4271-8ac5-7a15463d5015_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.noise\nB.dead pixel\nC.image compression\nD.No distortion", "answer": "C"}
{"id": "52c511e7-5ac4-4cfb-8601-6cf445f16cda", "image_1": "Perception/paired/52c511e7-5ac4-4cfb-8601-6cf445f16cda_0.png", "image_2": "Perception/paired/52c511e7-5ac4-4cfb-8601-6cf445f16cda_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.cloud\nC.color distortion\nD.image stretching", "answer": "C"}
{"id": "feaeac00-8e83-4914-ae70-875bf3e2ce58", "image_1": "Perception/paired/feaeac00-8e83-4914-ae70-875bf3e2ce58_0.png", "image_2": "Perception/paired/feaeac00-8e83-4914-ae70-875bf3e2ce58_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.haze\nB.image stretching\nC.dead pixel\nD.color distortion", "answer": "D"}
{"id": "cefeccfe-d132-4def-b025-171f375f317f", "image_1": "Perception/paired/cefeccfe-d132-4def-b025-171f375f317f_0.png", "image_2": "Perception/paired/cefeccfe-d132-4def-b025-171f375f317f_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.image stretching\nC.No distortion\nD.haze", "answer": "C"}
{"id": "443c6644-82f6-4f34-b35a-3e386d85f1f6", "image_1": "Perception/paired/443c6644-82f6-4f34-b35a-3e386d85f1f6_0.png", "image_2": "Perception/paired/443c6644-82f6-4f34-b35a-3e386d85f1f6_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.color distortion\nB.image compression\nC.image stretching\nD.missing tiles", "answer": "A"}
{"id": "97e8c84b-953b-4602-ad26-5eedb2be59de", "image_1": "Perception/paired/97e8c84b-953b-4602-ad26-5eedb2be59de_0.png", "image_2": "Perception/paired/97e8c84b-953b-4602-ad26-5eedb2be59de_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.missing tiles\nB.image stretching\nC.blur\nD.color distortion", "answer": "D"}
{"id": "92b1bd78-9c37-46d3-a8a9-6ddbb5dd06b1", "image_1": "Perception/paired/92b1bd78-9c37-46d3-a8a9-6ddbb5dd06b1_0.png", "image_2": "Perception/paired/92b1bd78-9c37-46d3-a8a9-6ddbb5dd06b1_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.haze\nB.missing tiles\nC.cloud\nD.color distortion", "answer": "D"}
{"id": "bc3c74ed-9fc1-4f0e-87e0-c2712b75745b", "image_1": "Perception/paired/bc3c74ed-9fc1-4f0e-87e0-c2712b75745b_0.png", "image_2": "Perception/paired/bc3c74ed-9fc1-4f0e-87e0-c2712b75745b_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.color distortion\nB.haze\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "57aa9e7b-a3a7-4ef7-b780-9948f92189d7", "image_1": "Perception/paired/57aa9e7b-a3a7-4ef7-b780-9948f92189d7_0.png", "image_2": "Perception/paired/57aa9e7b-a3a7-4ef7-b780-9948f92189d7_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.color distortion\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "e2239fb8-d264-4843-b15b-26a38b045310", "image_1": "Perception/paired/e2239fb8-d264-4843-b15b-26a38b045310_0.png", "image_2": "Perception/paired/e2239fb8-d264-4843-b15b-26a38b045310_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.color distortion\nB.No distortion\nC.haze\nD.image compression", "answer": "A"}
{"id": "9ab6298c-9d36-4063-a1ae-a08b07f2a4b6", "image_1": "Perception/paired/9ab6298c-9d36-4063-a1ae-a08b07f2a4b6_0.png", "image_2": "Perception/paired/9ab6298c-9d36-4063-a1ae-a08b07f2a4b6_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.No distortion\nC.image compression\nD.noise", "answer": "B"}
{"id": "f3999db2-bc33-4c47-bdee-bf1859cb0d32", "image_1": "Perception/paired/f3999db2-bc33-4c47-bdee-bf1859cb0d32_0.png", "image_2": "Perception/paired/f3999db2-bc33-4c47-bdee-bf1859cb0d32_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.color distortion\nB.blur\nC.noise\nD.No distortion", "answer": "A"}
{"id": "84282459-e7d8-4169-a39e-92e4363d558d", "image_1": "Perception/paired/84282459-e7d8-4169-a39e-92e4363d558d_0.png", "image_2": "Perception/paired/84282459-e7d8-4169-a39e-92e4363d558d_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image stretching\nC.missing tiles\nD.color distortion", "answer": "D"}
{"id": "ff9321df-dda7-4f85-b2db-5ff67430c4c6", "image_1": "Perception/paired/ff9321df-dda7-4f85-b2db-5ff67430c4c6_0.png", "image_2": "Perception/paired/ff9321df-dda7-4f85-b2db-5ff67430c4c6_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.image compression\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "aacefb1e-83ce-4185-9617-cb1436ce5c70", "image_1": "Perception/paired/aacefb1e-83ce-4185-9617-cb1436ce5c70_0.png", "image_2": "Perception/paired/aacefb1e-83ce-4185-9617-cb1436ce5c70_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.noise\nC.color distortion\nD.dead pixel", "answer": "C"}
{"id": "1afae8f8-612f-487d-a338-57529619a6ab", "image_1": "Perception/paired/1afae8f8-612f-487d-a338-57529619a6ab_0.png", "image_2": "Perception/paired/1afae8f8-612f-487d-a338-57529619a6ab_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.color distortion\nB.No distortion\nC.missing tiles\nD.haze", "answer": "A"}
{"id": "0a55fc38-1431-4073-bc97-2a65972e481a", "image_1": "Perception/paired/0a55fc38-1431-4073-bc97-2a65972e481a_0.png", "image_2": "Perception/paired/0a55fc38-1431-4073-bc97-2a65972e481a_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "A"}
{"id": "aa6cc39f-25b3-48ed-9181-e56ca5564601", "image_1": "Perception/paired/aa6cc39f-25b3-48ed-9181-e56ca5564601_0.png", "image_2": "Perception/paired/aa6cc39f-25b3-48ed-9181-e56ca5564601_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "846907a5-6f87-433a-a053-459ef12fbace", "image_1": "Perception/paired/846907a5-6f87-433a-a053-459ef12fbace_0.png", "image_2": "Perception/paired/846907a5-6f87-433a-a053-459ef12fbace_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.haze\nB.No distortion\nC.color distortion\nD.cloud", "answer": "C"}
{"id": "d45cb12d-e679-43df-8fa0-c4706ce520d0", "image_1": "Perception/paired/d45cb12d-e679-43df-8fa0-c4706ce520d0_0.png", "image_2": "Perception/paired/d45cb12d-e679-43df-8fa0-c4706ce520d0_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image compression\nB.color distortion\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "eb389994-931d-45f8-8bb1-44b6260fcdfc", "image_1": "Perception/paired/eb389994-931d-45f8-8bb1-44b6260fcdfc_0.png", "image_2": "Perception/paired/eb389994-931d-45f8-8bb1-44b6260fcdfc_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.haze\nC.color distortion\nD.No distortion", "answer": "C"}
{"id": "aa94c841-4c16-49e7-84ff-9d3e8d2e5088", "image_1": "Perception/paired/aa94c841-4c16-49e7-84ff-9d3e8d2e5088_0.png", "image_2": "Perception/paired/aa94c841-4c16-49e7-84ff-9d3e8d2e5088_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.cloud\nB.color distortion\nC.noise\nD.image stretching", "answer": "B"}
{"id": "e379a5e7-fe30-422b-ad26-b402017cba0a", "image_1": "Perception/paired/e379a5e7-fe30-422b-ad26-b402017cba0a_0.png", "image_2": "Perception/paired/e379a5e7-fe30-422b-ad26-b402017cba0a_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.cloud\nC.No distortion\nD.color distortion", "answer": "D"}
{"id": "40a4269a-2ea6-4f41-bd9d-177027473517", "image_1": "Perception/paired/40a4269a-2ea6-4f41-bd9d-177027473517_0.png", "image_2": "Perception/paired/40a4269a-2ea6-4f41-bd9d-177027473517_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.haze\nC.color distortion\nD.dead pixel", "answer": "C"}
{"id": "6b571d2f-5d38-4498-adfe-4cff4a9024e0", "image_1": "Perception/paired/6b571d2f-5d38-4498-adfe-4cff4a9024e0_0.png", "image_2": "Perception/paired/6b571d2f-5d38-4498-adfe-4cff4a9024e0_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.color distortion\nB.No distortion\nC.haze\nD.cloud", "answer": "A"}
{"id": "09966ea0-b093-47a9-864a-b8a9f8798f68", "image_1": "Perception/paired/09966ea0-b093-47a9-864a-b8a9f8798f68_0.png", "image_2": "Perception/paired/09966ea0-b093-47a9-864a-b8a9f8798f68_1.png", "question": "Identify the main distortion introduced between the two images.\nA.missing tiles\nB.dead pixel\nC.color distortion\nD.cloud", "answer": "C"}
{"id": "7022515b-1b14-48d5-b4da-8080680f66cf", "image_1": "Perception/paired/7022515b-1b14-48d5-b4da-8080680f66cf_0.png", "image_2": "Perception/paired/7022515b-1b14-48d5-b4da-8080680f66cf_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.color distortion\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "8b33b5b5-1cd7-4185-98dc-d3020eaa7d17", "image_1": "Perception/paired/8b33b5b5-1cd7-4185-98dc-d3020eaa7d17_0.png", "image_2": "Perception/paired/8b33b5b5-1cd7-4185-98dc-d3020eaa7d17_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.No distortion\nC.noise\nD.color distortion", "answer": "D"}
{"id": "ab3495f8-9653-4982-8dbe-b24b72e9099f", "image_1": "Perception/paired/ab3495f8-9653-4982-8dbe-b24b72e9099f_0.png", "image_2": "Perception/paired/ab3495f8-9653-4982-8dbe-b24b72e9099f_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.blur\nC.color distortion\nD.image compression", "answer": "C"}
{"id": "73ea47f1-c848-43a3-a17f-d213132e01eb", "image_1": "Perception/paired/73ea47f1-c848-43a3-a17f-d213132e01eb_0.png", "image_2": "Perception/paired/73ea47f1-c848-43a3-a17f-d213132e01eb_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.blur\nB.dead pixel\nC.color distortion\nD.haze", "answer": "C"}
{"id": "1ff60f53-736f-4ff4-8902-b1eddf584dc8", "image_1": "Perception/paired/1ff60f53-736f-4ff4-8902-b1eddf584dc8_0.png", "image_2": "Perception/paired/1ff60f53-736f-4ff4-8902-b1eddf584dc8_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.color distortion\nC.haze\nD.blur", "answer": "B"}
{"id": "4c5d837d-273f-4d75-9351-852ca9c38471", "image_1": "Perception/paired/4c5d837d-273f-4d75-9351-852ca9c38471_0.png", "image_2": "Perception/paired/4c5d837d-273f-4d75-9351-852ca9c38471_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.missing tiles\nC.color distortion\nD.haze", "answer": "C"}
{"id": "10fde820-3e60-44ea-a3a6-0d2bd2bd516b", "image_1": "Perception/paired/10fde820-3e60-44ea-a3a6-0d2bd2bd516b_0.png", "image_2": "Perception/paired/10fde820-3e60-44ea-a3a6-0d2bd2bd516b_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.blur\nC.color distortion\nD.No distortion", "answer": "C"}
{"id": "32d69ed5-2b91-4fc7-b2f1-03e4df3a6c77", "image_1": "Perception/paired/32d69ed5-2b91-4fc7-b2f1-03e4df3a6c77_0.png", "image_2": "Perception/paired/32d69ed5-2b91-4fc7-b2f1-03e4df3a6c77_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.blur\nB.No distortion\nC.noise\nD.color distortion", "answer": "D"}
{"id": "72be2783-d66f-4cdd-98de-ab4b845a6ed9", "image_1": "Perception/paired/72be2783-d66f-4cdd-98de-ab4b845a6ed9_0.png", "image_2": "Perception/paired/72be2783-d66f-4cdd-98de-ab4b845a6ed9_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.color distortion\nC.blur\nD.noise", "answer": "B"}
{"id": "7e46e494-6f2f-4507-ade1-010e83def9e0", "image_1": "Perception/paired/7e46e494-6f2f-4507-ade1-010e83def9e0_0.png", "image_2": "Perception/paired/7e46e494-6f2f-4507-ade1-010e83def9e0_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.image compression\nC.image stretching\nD.color distortion", "answer": "D"}
{"id": "46946450-d18b-4239-a77c-bc68ae89bd3b", "image_1": "Perception/paired/46946450-d18b-4239-a77c-bc68ae89bd3b_0.png", "image_2": "Perception/paired/46946450-d18b-4239-a77c-bc68ae89bd3b_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.haze\nC.color distortion\nD.missing tiles", "answer": "C"}
{"id": "801509a8-8dce-403c-a434-2d73f264ee36", "image_1": "Perception/paired/801509a8-8dce-403c-a434-2d73f264ee36_0.png", "image_2": "Perception/paired/801509a8-8dce-403c-a434-2d73f264ee36_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.cloud\nB.blur\nC.image stretching\nD.color distortion", "answer": "D"}
{"id": "6d66ed40-cc70-4f08-b814-75f23fffa78d", "image_1": "Perception/paired/6d66ed40-cc70-4f08-b814-75f23fffa78d_0.png", "image_2": "Perception/paired/6d66ed40-cc70-4f08-b814-75f23fffa78d_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.missing tiles\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "C"}
{"id": "29a32bf7-607e-4183-a55e-3e0f4ab8af47", "image_1": "Perception/paired/29a32bf7-607e-4183-a55e-3e0f4ab8af47_0.png", "image_2": "Perception/paired/29a32bf7-607e-4183-a55e-3e0f4ab8af47_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.color distortion\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "6b284c4c-6b19-4e02-bbb1-ead8040dc39d", "image_1": "Perception/paired/6b284c4c-6b19-4e02-bbb1-ead8040dc39d_0.png", "image_2": "Perception/paired/6b284c4c-6b19-4e02-bbb1-ead8040dc39d_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.No distortion\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "1ba6b6f0-a9dd-412d-8125-348d4ff63d37", "image_1": "Perception/paired/1ba6b6f0-a9dd-412d-8125-348d4ff63d37_0.png", "image_2": "Perception/paired/1ba6b6f0-a9dd-412d-8125-348d4ff63d37_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.missing tiles\nB.color distortion\nC.image compression\nD.dead pixel", "answer": "B"}
{"id": "440507ec-ec1a-43c5-9b66-2df69c6d5a71", "image_1": "Perception/paired/440507ec-ec1a-43c5-9b66-2df69c6d5a71_0.png", "image_2": "Perception/paired/440507ec-ec1a-43c5-9b66-2df69c6d5a71_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.haze\nB.cloud\nC.No distortion\nD.color distortion", "answer": "D"}
{"id": "d383f535-d4bd-4c5b-a693-aeafe3ec6f4a", "image_1": "Perception/paired/d383f535-d4bd-4c5b-a693-aeafe3ec6f4a_0.png", "image_2": "Perception/paired/d383f535-d4bd-4c5b-a693-aeafe3ec6f4a_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.image compression\nB.No distortion\nC.missing tiles\nD.color distortion", "answer": "D"}
{"id": "01229ba5-f9b1-47e6-abd3-61639c92187f", "image_1": "Perception/paired/01229ba5-f9b1-47e6-abd3-61639c92187f_0.png", "image_2": "Perception/paired/01229ba5-f9b1-47e6-abd3-61639c92187f_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.color distortion\nB.blur\nC.dead pixel\nD.image stretching", "answer": "A"}
{"id": "7ec5360f-ae2f-4351-8889-3631c46f4dfb", "image_1": "Perception/paired/7ec5360f-ae2f-4351-8889-3631c46f4dfb_0.png", "image_2": "Perception/paired/7ec5360f-ae2f-4351-8889-3631c46f4dfb_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.color distortion\nB.haze\nC.blur\nD.No distortion", "answer": "A"}
{"id": "2456ac1b-213b-4b77-baef-039f9a13bfa7", "image_1": "Perception/paired/2456ac1b-213b-4b77-baef-039f9a13bfa7_0.png", "image_2": "Perception/paired/2456ac1b-213b-4b77-baef-039f9a13bfa7_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.color distortion\nB.image stretching\nC.missing tiles\nD.noise", "answer": "A"}
{"id": "c0d27e39-61b5-4618-b512-0feeafb2fabe", "image_1": "Perception/paired/c0d27e39-61b5-4618-b512-0feeafb2fabe_0.png", "image_2": "Perception/paired/c0d27e39-61b5-4618-b512-0feeafb2fabe_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.color distortion\nB.haze\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "2822e07c-4756-4c9e-a2d0-16cd926d346e", "image_1": "Perception/paired/2822e07c-4756-4c9e-a2d0-16cd926d346e_0.png", "image_2": "Perception/paired/2822e07c-4756-4c9e-a2d0-16cd926d346e_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.blur\nB.color distortion\nC.No distortion\nD.dead pixel", "answer": "B"}
{"id": "dfc3e87e-0492-44c1-9f3b-12d12d87235d", "image_1": "Perception/paired/dfc3e87e-0492-44c1-9f3b-12d12d87235d_0.png", "image_2": "Perception/paired/dfc3e87e-0492-44c1-9f3b-12d12d87235d_1.png", "question": "Identify the main distortion introduced between the two images.\nA.color distortion\nB.image stretching\nC.noise\nD.blur", "answer": "A"}
{"id": "678953b1-a7f2-433d-8675-01c1e87db522", "image_1": "Perception/paired/678953b1-a7f2-433d-8675-01c1e87db522_0.png", "image_2": "Perception/paired/678953b1-a7f2-433d-8675-01c1e87db522_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.blur\nB.cloud\nC.color distortion\nD.image compression", "answer": "C"}
{"id": "acfddd5d-0fde-4376-8815-e9063af9bbc9", "image_1": "Perception/paired/acfddd5d-0fde-4376-8815-e9063af9bbc9_0.png", "image_2": "Perception/paired/acfddd5d-0fde-4376-8815-e9063af9bbc9_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.cloud\nB.color distortion\nC.blur\nD.image compression", "answer": "B"}
{"id": "5b5a2dcd-be5a-41dc-be8f-bf7e0bb1493e", "image_1": "Perception/paired/5b5a2dcd-be5a-41dc-be8f-bf7e0bb1493e_0.png", "image_2": "Perception/paired/5b5a2dcd-be5a-41dc-be8f-bf7e0bb1493e_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.noise\nC.color distortion\nD.blur", "answer": "C"}
{"id": "1cc58114-be9e-4610-bd4c-00240b32a275", "image_1": "Perception/paired/1cc58114-be9e-4610-bd4c-00240b32a275_0.png", "image_2": "Perception/paired/1cc58114-be9e-4610-bd4c-00240b32a275_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.cloud\nB.No distortion\nC.color distortion\nD.dead pixel", "answer": "C"}
{"id": "7c9a3da2-eccd-4875-80fe-626024b9a72d", "image_1": "Perception/paired/7c9a3da2-eccd-4875-80fe-626024b9a72d_0.png", "image_2": "Perception/paired/7c9a3da2-eccd-4875-80fe-626024b9a72d_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.No distortion\nC.missing tiles\nD.color distortion", "answer": "D"}
{"id": "b467e413-fa63-4544-ac9c-991b81475191", "image_1": "Perception/paired/b467e413-fa63-4544-ac9c-991b81475191_0.png", "image_2": "Perception/paired/b467e413-fa63-4544-ac9c-991b81475191_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.color distortion\nB.missing tiles\nC.blur\nD.dead pixel", "answer": "A"}
{"id": "9daae77d-298e-45d8-ba98-9383dd89f12b", "image_1": "Perception/paired/9daae77d-298e-45d8-ba98-9383dd89f12b_0.png", "image_2": "Perception/paired/9daae77d-298e-45d8-ba98-9383dd89f12b_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.cloud\nC.color distortion\nD.image stretching", "answer": "C"}
{"id": "4aa073a9-84c4-440a-a545-644b1f8730c3", "image_1": "Perception/paired/4aa073a9-84c4-440a-a545-644b1f8730c3_0.png", "image_2": "Perception/paired/4aa073a9-84c4-440a-a545-644b1f8730c3_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.haze\nB.image stretching\nC.dead pixel\nD.color distortion", "answer": "D"}
{"id": "e1766fa6-6f10-4144-a2e0-10d85adc6eb2", "image_1": "Perception/paired/e1766fa6-6f10-4144-a2e0-10d85adc6eb2_0.png", "image_2": "Perception/paired/e1766fa6-6f10-4144-a2e0-10d85adc6eb2_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.blur\nB.image stretching\nC.color distortion\nD.missing tiles", "answer": "C"}
{"id": "1072e5bc-ee0e-4a26-9ad1-41f78279a3a7", "image_1": "Perception/paired/1072e5bc-ee0e-4a26-9ad1-41f78279a3a7_0.png", "image_2": "Perception/paired/1072e5bc-ee0e-4a26-9ad1-41f78279a3a7_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.color distortion\nB.image compression\nC.image stretching\nD.missing tiles", "answer": "A"}
{"id": "e49a55ae-f3ea-4e34-b1bb-217513788699", "image_1": "Perception/paired/e49a55ae-f3ea-4e34-b1bb-217513788699_0.png", "image_2": "Perception/paired/e49a55ae-f3ea-4e34-b1bb-217513788699_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.image stretching\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "609ea72c-93b1-40cc-b91e-8a949df343b8", "image_1": "Perception/paired/609ea72c-93b1-40cc-b91e-8a949df343b8_0.png", "image_2": "Perception/paired/609ea72c-93b1-40cc-b91e-8a949df343b8_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.haze\nB.missing tiles\nC.cloud\nD.color distortion", "answer": "D"}
{"id": "693b87af-e83d-409f-936c-e599f343454d", "image_1": "Perception/paired/693b87af-e83d-409f-936c-e599f343454d_0.png", "image_2": "Perception/paired/693b87af-e83d-409f-936c-e599f343454d_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.color distortion\nB.haze\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "cf07598c-3a3f-4322-9f8b-ce4642c66532", "image_1": "Perception/paired/cf07598c-3a3f-4322-9f8b-ce4642c66532_0.png", "image_2": "Perception/paired/cf07598c-3a3f-4322-9f8b-ce4642c66532_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "ddcafccb-1455-4f6d-adaf-794ab7585a31", "image_1": "Perception/paired/ddcafccb-1455-4f6d-adaf-794ab7585a31_0.png", "image_2": "Perception/paired/ddcafccb-1455-4f6d-adaf-794ab7585a31_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image compression\nC.color distortion\nD.blur", "answer": "A"}
{"id": "4088982b-c850-4d61-b30e-53cfc8f53969", "image_1": "Perception/paired/4088982b-c850-4d61-b30e-53cfc8f53969_0.png", "image_2": "Perception/paired/4088982b-c850-4d61-b30e-53cfc8f53969_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.No distortion\nC.image compression\nD.noise", "answer": "B"}
{"id": "e71fd916-673d-459d-bbc5-ec778a224768", "image_1": "Perception/paired/e71fd916-673d-459d-bbc5-ec778a224768_0.png", "image_2": "Perception/paired/e71fd916-673d-459d-bbc5-ec778a224768_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.color distortion\nB.blur\nC.noise\nD.No distortion", "answer": "A"}
{"id": "10081c81-2475-4615-b8c5-f6a427c28101", "image_1": "Perception/paired/10081c81-2475-4615-b8c5-f6a427c28101_0.png", "image_2": "Perception/paired/10081c81-2475-4615-b8c5-f6a427c28101_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image stretching\nC.missing tiles\nD.color distortion", "answer": "D"}
{"id": "11edd906-4e93-41e3-bb64-f73100333016", "image_1": "Perception/paired/11edd906-4e93-41e3-bb64-f73100333016_0.png", "image_2": "Perception/paired/11edd906-4e93-41e3-bb64-f73100333016_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.cloud\nB.No distortion\nC.color distortion\nD.blur", "answer": "C"}
{"id": "b1742ee8-8fd5-4ebb-8294-28878d782502", "image_1": "Perception/paired/b1742ee8-8fd5-4ebb-8294-28878d782502_0.png", "image_2": "Perception/paired/b1742ee8-8fd5-4ebb-8294-28878d782502_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.noise\nC.color distortion\nD.dead pixel", "answer": "C"}
{"id": "d0768596-1332-443f-8aeb-4f5cf1b79f14", "image_1": "Perception/paired/d0768596-1332-443f-8aeb-4f5cf1b79f14_0.png", "image_2": "Perception/paired/d0768596-1332-443f-8aeb-4f5cf1b79f14_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.color distortion\nB.No distortion\nC.missing tiles\nD.haze", "answer": "A"}
{"id": "c1e30ba6-828d-4f63-8e18-c3ece1114b72", "image_1": "Perception/paired/c1e30ba6-828d-4f63-8e18-c3ece1114b72_0.png", "image_2": "Perception/paired/c1e30ba6-828d-4f63-8e18-c3ece1114b72_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.dead pixel\nC.image compression\nD.image stretching", "answer": "A"}
{"id": "2a426f95-39e1-4bf8-8c3c-aca6f92e403d", "image_1": "Perception/paired/2a426f95-39e1-4bf8-8c3c-aca6f92e403d_0.png", "image_2": "Perception/paired/2a426f95-39e1-4bf8-8c3c-aca6f92e403d_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.haze\nC.noise\nD.cloud", "answer": "A"}
{"id": "a73f607a-f7dd-45a7-9ca4-594983b66588", "image_1": "Perception/paired/a73f607a-f7dd-45a7-9ca4-594983b66588_0.png", "image_2": "Perception/paired/a73f607a-f7dd-45a7-9ca4-594983b66588_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.color distortion\nB.image compression\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "6cb28e22-d9ec-4acf-824d-29d2e1b6cd36", "image_1": "Perception/paired/6cb28e22-d9ec-4acf-824d-29d2e1b6cd36_0.png", "image_2": "Perception/paired/6cb28e22-d9ec-4acf-824d-29d2e1b6cd36_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image compression\nB.color distortion\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "0ce94ac9-0c29-4447-b391-dda3585a1876", "image_1": "Perception/paired/0ce94ac9-0c29-4447-b391-dda3585a1876_0.png", "image_2": "Perception/paired/0ce94ac9-0c29-4447-b391-dda3585a1876_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.haze\nC.color distortion\nD.No distortion", "answer": "C"}
{"id": "bc40c5a4-4ecf-4a06-ba08-a447d2c30f90", "image_1": "Perception/paired/bc40c5a4-4ecf-4a06-ba08-a447d2c30f90_0.png", "image_2": "Perception/paired/bc40c5a4-4ecf-4a06-ba08-a447d2c30f90_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.cloud\nB.color distortion\nC.noise\nD.image stretching", "answer": "B"}
{"id": "05e63e05-98cc-446e-bbab-aa91fd92a65f", "image_1": "Perception/paired/05e63e05-98cc-446e-bbab-aa91fd92a65f_0.png", "image_2": "Perception/paired/05e63e05-98cc-446e-bbab-aa91fd92a65f_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "07c6f200-d4af-4f39-a9ec-d9bab5323b12", "image_1": "Perception/paired/07c6f200-d4af-4f39-a9ec-d9bab5323b12_0.png", "image_2": "Perception/paired/07c6f200-d4af-4f39-a9ec-d9bab5323b12_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.haze\nC.color distortion\nD.dead pixel", "answer": "C"}
{"id": "300a2dda-d829-472a-b7a7-61a1f5889fe8", "image_1": "Perception/paired/300a2dda-d829-472a-b7a7-61a1f5889fe8_0.png", "image_2": "Perception/paired/300a2dda-d829-472a-b7a7-61a1f5889fe8_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.color distortion\nB.No distortion\nC.haze\nD.cloud", "answer": "A"}
{"id": "b0a6003b-2f1b-4f46-b460-75c96c2f5c52", "image_1": "Perception/paired/b0a6003b-2f1b-4f46-b460-75c96c2f5c52_0.png", "image_2": "Perception/paired/b0a6003b-2f1b-4f46-b460-75c96c2f5c52_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "1ce7a355-c527-41ee-a6cb-f88c3e3d7bf5", "image_1": "Perception/paired/1ce7a355-c527-41ee-a6cb-f88c3e3d7bf5_0.png", "image_2": "Perception/paired/1ce7a355-c527-41ee-a6cb-f88c3e3d7bf5_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.color distortion\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "56ed2a2a-b9e6-4a32-a1b6-8df1a2e765e3", "image_1": "Perception/paired/56ed2a2a-b9e6-4a32-a1b6-8df1a2e765e3_0.png", "image_2": "Perception/paired/56ed2a2a-b9e6-4a32-a1b6-8df1a2e765e3_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "6c7bae69-ea76-4433-837c-1849581632c6", "image_1": "Perception/paired/6c7bae69-ea76-4433-837c-1849581632c6_0.png", "image_2": "Perception/paired/6c7bae69-ea76-4433-837c-1849581632c6_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.cloud\nC.No distortion\nD.blur", "answer": "C"}
{"id": "6a9f2657-e45d-4eef-acae-d67036a31183", "image_1": "Perception/paired/6a9f2657-e45d-4eef-acae-d67036a31183_0.png", "image_2": "Perception/paired/6a9f2657-e45d-4eef-acae-d67036a31183_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.cloud\nB.dead pixel\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "d174da36-d1a0-4b37-97ce-8d786593953a", "image_1": "Perception/paired/d174da36-d1a0-4b37-97ce-8d786593953a_0.png", "image_2": "Perception/paired/d174da36-d1a0-4b37-97ce-8d786593953a_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.No distortion\nC.color distortion\nD.cloud", "answer": "B"}
{"id": "78c9dadc-1764-4c31-a458-1337b2611a21", "image_1": "Perception/paired/78c9dadc-1764-4c31-a458-1337b2611a21_0.png", "image_2": "Perception/paired/78c9dadc-1764-4c31-a458-1337b2611a21_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.missing tiles\nC.color distortion\nD.haze", "answer": "C"}
{"id": "09b0c539-0a79-4050-a158-c7efc906869d", "image_1": "Perception/paired/09b0c539-0a79-4050-a158-c7efc906869d_0.png", "image_2": "Perception/paired/09b0c539-0a79-4050-a158-c7efc906869d_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.cloud\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "4b880fbb-a5b5-478d-8490-d323e243ae3c", "image_1": "Perception/paired/4b880fbb-a5b5-478d-8490-d323e243ae3c_0.png", "image_2": "Perception/paired/4b880fbb-a5b5-478d-8490-d323e243ae3c_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.blur\nB.No distortion\nC.noise\nD.color distortion", "answer": "D"}
{"id": "ea573bbc-2b48-4b18-9f86-473b8dc9dc1b", "image_1": "Perception/paired/ea573bbc-2b48-4b18-9f86-473b8dc9dc1b_0.png", "image_2": "Perception/paired/ea573bbc-2b48-4b18-9f86-473b8dc9dc1b_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.color distortion\nC.blur\nD.noise", "answer": "B"}
{"id": "8cdb3920-82c8-4067-8006-d811f2229769", "image_1": "Perception/paired/8cdb3920-82c8-4067-8006-d811f2229769_0.png", "image_2": "Perception/paired/8cdb3920-82c8-4067-8006-d811f2229769_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.image compression\nC.image stretching\nD.color distortion", "answer": "D"}
{"id": "019982c2-5ee6-401a-941f-a42f2a292521", "image_1": "Perception/paired/019982c2-5ee6-401a-941f-a42f2a292521_0.png", "image_2": "Perception/paired/019982c2-5ee6-401a-941f-a42f2a292521_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.haze", "answer": "C"}
{"id": "b86e325c-9d4d-49e8-b74c-ac7288399433", "image_1": "Perception/paired/b86e325c-9d4d-49e8-b74c-ac7288399433_0.png", "image_2": "Perception/paired/b86e325c-9d4d-49e8-b74c-ac7288399433_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.missing tiles\nB.cloud\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "5701baa5-f48d-4af6-accc-c2314642f884", "image_1": "Perception/paired/5701baa5-f48d-4af6-accc-c2314642f884_0.png", "image_2": "Perception/paired/5701baa5-f48d-4af6-accc-c2314642f884_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.cloud\nB.dead pixel\nC.color distortion\nD.image stretching", "answer": "C"}
{"id": "c931cfe5-a647-4d54-8890-51be6553951a", "image_1": "Perception/paired/c931cfe5-a647-4d54-8890-51be6553951a_0.png", "image_2": "Perception/paired/c931cfe5-a647-4d54-8890-51be6553951a_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "6b4f23c6-3e64-4825-b2f2-95101a3abb3b", "image_1": "Perception/paired/6b4f23c6-3e64-4825-b2f2-95101a3abb3b_0.png", "image_2": "Perception/paired/6b4f23c6-3e64-4825-b2f2-95101a3abb3b_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.blur\nB.color distortion\nC.image stretching\nD.No distortion", "answer": "B"}
{"id": "78a44a4b-051f-456f-b800-e6d5c0a36bb5", "image_1": "Perception/paired/78a44a4b-051f-456f-b800-e6d5c0a36bb5_0.png", "image_2": "Perception/paired/78a44a4b-051f-456f-b800-e6d5c0a36bb5_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.missing tiles\nC.No distortion\nD.color distortion", "answer": "D"}
{"id": "ae814f28-0f44-4dda-a0ce-4c5a3ee57b05", "image_1": "Perception/paired/ae814f28-0f44-4dda-a0ce-4c5a3ee57b05_0.png", "image_2": "Perception/paired/ae814f28-0f44-4dda-a0ce-4c5a3ee57b05_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.noise", "answer": "B"}
{"id": "bf1e8ff6-4154-45a6-b54e-ed4bc0c832b7", "image_1": "Perception/paired/bf1e8ff6-4154-45a6-b54e-ed4bc0c832b7_0.png", "image_2": "Perception/paired/bf1e8ff6-4154-45a6-b54e-ed4bc0c832b7_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.image stretching\nB.color distortion\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "3d99c5f9-24f4-4cd8-a2a5-03a15af1e5dd", "image_1": "Perception/paired/3d99c5f9-24f4-4cd8-a2a5-03a15af1e5dd_0.png", "image_2": "Perception/paired/3d99c5f9-24f4-4cd8-a2a5-03a15af1e5dd_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.image stretching\nB.noise\nC.color distortion\nD.blur", "answer": "C"}
{"id": "e02b8f5e-0571-477a-8af5-c84a4769e881", "image_1": "Perception/paired/e02b8f5e-0571-477a-8af5-c84a4769e881_0.png", "image_2": "Perception/paired/e02b8f5e-0571-477a-8af5-c84a4769e881_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.color distortion\nB.No distortion\nC.missing tiles\nD.noise", "answer": "A"}
{"id": "bd20961e-b9b8-4b4a-8fb3-bfa02cccc4da", "image_1": "Perception/paired/bd20961e-b9b8-4b4a-8fb3-bfa02cccc4da_0.png", "image_2": "Perception/paired/bd20961e-b9b8-4b4a-8fb3-bfa02cccc4da_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.image compression\nB.haze\nC.color distortion\nD.dead pixel", "answer": "C"}
{"id": "18feb14c-8c42-4271-827d-c3dd5aa101b6", "image_1": "Perception/paired/18feb14c-8c42-4271-827d-c3dd5aa101b6_0.png", "image_2": "Perception/paired/18feb14c-8c42-4271-827d-c3dd5aa101b6_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.color distortion\nB.noise\nC.image compression\nD.dead pixel", "answer": "A"}
{"id": "56aba631-27bb-40a3-8498-a5a5bc2b59c9", "image_1": "Perception/paired/56aba631-27bb-40a3-8498-a5a5bc2b59c9_0.png", "image_2": "Perception/paired/56aba631-27bb-40a3-8498-a5a5bc2b59c9_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.image stretching\nB.noise\nC.No distortion\nD.color distortion", "answer": "D"}
{"id": "958a64d2-dfd7-45ce-8491-b927d3318b1f", "image_1": "Perception/paired/958a64d2-dfd7-45ce-8491-b927d3318b1f_0.png", "image_2": "Perception/paired/958a64d2-dfd7-45ce-8491-b927d3318b1f_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.haze\nB.image stretching\nC.color distortion\nD.cloud", "answer": "C"}
{"id": "945c7461-5e5c-4dad-9406-fe9149628bcc", "image_1": "Perception/paired/945c7461-5e5c-4dad-9406-fe9149628bcc_0.png", "image_2": "Perception/paired/945c7461-5e5c-4dad-9406-fe9149628bcc_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.missing tiles\nB.haze\nC.color distortion\nD.image compression", "answer": "C"}
{"id": "ad0c8936-1a50-4593-a11e-22f2ab980f78", "image_1": "Perception/paired/ad0c8936-1a50-4593-a11e-22f2ab980f78_0.png", "image_2": "Perception/paired/ad0c8936-1a50-4593-a11e-22f2ab980f78_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.blur\nB.image stretching\nC.missing tiles\nD.color distortion", "answer": "D"}
{"id": "f0a113dd-41b6-4b2b-a6ef-652d15446edd", "image_1": "Perception/paired/f0a113dd-41b6-4b2b-a6ef-652d15446edd_0.png", "image_2": "Perception/paired/f0a113dd-41b6-4b2b-a6ef-652d15446edd_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image stretching\nB.dead pixel\nC.color distortion\nD.haze", "answer": "C"}
{"id": "0375063f-cc9f-4c9c-8d89-fe3f11a1df22", "image_1": "Perception/paired/0375063f-cc9f-4c9c-8d89-fe3f11a1df22_0.png", "image_2": "Perception/paired/0375063f-cc9f-4c9c-8d89-fe3f11a1df22_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.dead pixel\nB.color distortion\nC.missing tiles\nD.noise", "answer": "B"}
{"id": "f2de0361-cf0c-4b3d-9142-0d0a08b8b123", "image_1": "Perception/paired/f2de0361-cf0c-4b3d-9142-0d0a08b8b123_0.png", "image_2": "Perception/paired/f2de0361-cf0c-4b3d-9142-0d0a08b8b123_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.cloud\nB.dead pixel\nC.color distortion\nD.haze", "answer": "C"}
{"id": "968c3c02-d6f9-46e0-9c1c-6063ed168119", "image_1": "Perception/paired/968c3c02-d6f9-46e0-9c1c-6063ed168119_0.png", "image_2": "Perception/paired/968c3c02-d6f9-46e0-9c1c-6063ed168119_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.blur\nB.image compression\nC.color distortion\nD.haze", "answer": "C"}
{"id": "888b0632-ea4f-444a-ad31-465330f26dfd", "image_1": "Perception/paired/888b0632-ea4f-444a-ad31-465330f26dfd_0.png", "image_2": "Perception/paired/888b0632-ea4f-444a-ad31-465330f26dfd_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.missing tiles\nC.image stretching\nD.No distortion", "answer": "C"}
{"id": "172951e4-7466-4118-ba0d-cb6ff0e41b9e", "image_1": "Perception/paired/172951e4-7466-4118-ba0d-cb6ff0e41b9e_0.png", "image_2": "Perception/paired/172951e4-7466-4118-ba0d-cb6ff0e41b9e_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.image stretching\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "92757a52-a5db-4944-adc4-f73b50276444", "image_1": "Perception/paired/92757a52-a5db-4944-adc4-f73b50276444_0.png", "image_2": "Perception/paired/92757a52-a5db-4944-adc4-f73b50276444_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.No distortion\nC.image stretching\nD.haze", "answer": "C"}
{"id": "9dd0f2b0-71ad-46b3-aa57-4ade4c90ef72", "image_1": "Perception/paired/9dd0f2b0-71ad-46b3-aa57-4ade4c90ef72_0.png", "image_2": "Perception/paired/9dd0f2b0-71ad-46b3-aa57-4ade4c90ef72_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.image stretching\nB.blur\nC.No distortion\nD.haze", "answer": "A"}
{"id": "ba36e17f-d638-4605-b378-032e57f7c113", "image_1": "Perception/paired/ba36e17f-d638-4605-b378-032e57f7c113_0.png", "image_2": "Perception/paired/ba36e17f-d638-4605-b378-032e57f7c113_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.No distortion\nC.cloud\nD.image stretching", "answer": "D"}
{"id": "6a19a271-f971-4a07-9acd-07f01062b964", "image_1": "Perception/paired/6a19a271-f971-4a07-9acd-07f01062b964_0.png", "image_2": "Perception/paired/6a19a271-f971-4a07-9acd-07f01062b964_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.color distortion\nB.haze\nC.missing tiles\nD.image stretching", "answer": "D"}
{"id": "316b132e-f06b-4c42-9d1a-c14f192e4340", "image_1": "Perception/paired/316b132e-f06b-4c42-9d1a-c14f192e4340_0.png", "image_2": "Perception/paired/316b132e-f06b-4c42-9d1a-c14f192e4340_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.color distortion\nC.missing tiles\nD.image compression", "answer": "A"}
{"id": "b0e65a90-4aa9-4934-bc8c-ed9052fe0654", "image_1": "Perception/paired/b0e65a90-4aa9-4934-bc8c-ed9052fe0654_0.png", "image_2": "Perception/paired/b0e65a90-4aa9-4934-bc8c-ed9052fe0654_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "e325bbfb-0e4b-4034-9244-e0343e39e8ed", "image_1": "Perception/paired/e325bbfb-0e4b-4034-9244-e0343e39e8ed_0.png", "image_2": "Perception/paired/e325bbfb-0e4b-4034-9244-e0343e39e8ed_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image compression\nC.color distortion\nD.blur", "answer": "A"}
{"id": "d84a40ec-0249-4047-917e-770fba27a70b", "image_1": "Perception/paired/d84a40ec-0249-4047-917e-770fba27a70b_0.png", "image_2": "Perception/paired/d84a40ec-0249-4047-917e-770fba27a70b_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.image stretching\nC.image compression\nD.noise", "answer": "B"}
{"id": "d7dbbcf1-d9b4-4915-b239-75eb9ce390a0", "image_1": "Perception/paired/d7dbbcf1-d9b4-4915-b239-75eb9ce390a0_0.png", "image_2": "Perception/paired/d7dbbcf1-d9b4-4915-b239-75eb9ce390a0_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.image stretching\nB.cloud\nC.noise\nD.image compression", "answer": "A"}
{"id": "f9cd48ef-bad7-4bdf-a9f0-47c81c90d64c", "image_1": "Perception/paired/f9cd48ef-bad7-4bdf-a9f0-47c81c90d64c_0.png", "image_2": "Perception/paired/f9cd48ef-bad7-4bdf-a9f0-47c81c90d64c_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image compression\nB.image stretching\nC.haze\nD.No distortion", "answer": "D"}
{"id": "7f2c11e6-2422-42fc-8a4a-f036fb2c1af5", "image_1": "Perception/paired/7f2c11e6-2422-42fc-8a4a-f036fb2c1af5_0.png", "image_2": "Perception/paired/7f2c11e6-2422-42fc-8a4a-f036fb2c1af5_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.image compression\nC.image stretching\nD.cloud", "answer": "C"}
{"id": "20ca3501-0e21-46cf-a750-a5d2f4829399", "image_1": "Perception/paired/20ca3501-0e21-46cf-a750-a5d2f4829399_0.png", "image_2": "Perception/paired/20ca3501-0e21-46cf-a750-a5d2f4829399_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.noise\nC.image stretching\nD.dead pixel", "answer": "C"}
{"id": "4f08aa47-86a6-4ab0-a475-83a0666e15e0", "image_1": "Perception/paired/4f08aa47-86a6-4ab0-a475-83a0666e15e0_0.png", "image_2": "Perception/paired/4f08aa47-86a6-4ab0-a475-83a0666e15e0_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image stretching\nB.image compression\nC.haze\nD.color distortion", "answer": "A"}
{"id": "b32305a9-5f72-414c-b022-9dcaad4f34df", "image_1": "Perception/paired/b32305a9-5f72-414c-b022-9dcaad4f34df_0.png", "image_2": "Perception/paired/b32305a9-5f72-414c-b022-9dcaad4f34df_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image stretching\nB.dead pixel\nC.image compression\nD.No distortion", "answer": "A"}
{"id": "a7ad7afd-c1cc-4bed-a6d5-488fe65a461e", "image_1": "Perception/paired/a7ad7afd-c1cc-4bed-a6d5-488fe65a461e_0.png", "image_2": "Perception/paired/a7ad7afd-c1cc-4bed-a6d5-488fe65a461e_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image stretching\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "e0504ea4-331e-4fa9-b409-bc1bf6c600ce", "image_1": "Perception/paired/e0504ea4-331e-4fa9-b409-bc1bf6c600ce_0.png", "image_2": "Perception/paired/e0504ea4-331e-4fa9-b409-bc1bf6c600ce_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.color distortion\nB.image compression\nC.image stretching\nD.missing tiles", "answer": "C"}
{"id": "5cfcd700-ee9f-419b-b57c-6fab66f5a190", "image_1": "Perception/paired/5cfcd700-ee9f-419b-b57c-6fab66f5a190_0.png", "image_2": "Perception/paired/5cfcd700-ee9f-419b-b57c-6fab66f5a190_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.blur\nB.No distortion\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "888582fe-84e6-4127-9ae8-3878aec8a595", "image_1": "Perception/paired/888582fe-84e6-4127-9ae8-3878aec8a595_0.png", "image_2": "Perception/paired/888582fe-84e6-4127-9ae8-3878aec8a595_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "294688e3-32aa-438c-ab56-07ff8d352bc9", "image_1": "Perception/paired/294688e3-32aa-438c-ab56-07ff8d352bc9_0.png", "image_2": "Perception/paired/294688e3-32aa-438c-ab56-07ff8d352bc9_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.image stretching\nC.noise\nD.No distortion", "answer": "B"}
{"id": "1ff8a4c4-882f-40cd-b7cb-d70799fdc0b5", "image_1": "Perception/paired/1ff8a4c4-882f-40cd-b7cb-d70799fdc0b5_0.png", "image_2": "Perception/paired/1ff8a4c4-882f-40cd-b7cb-d70799fdc0b5_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.missing tiles\nC.image compression\nD.image stretching", "answer": "D"}
{"id": "5bf99a6b-053e-4809-b75c-ff9348ccc245", "image_1": "Perception/paired/5bf99a6b-053e-4809-b75c-ff9348ccc245_0.png", "image_2": "Perception/paired/5bf99a6b-053e-4809-b75c-ff9348ccc245_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.color distortion\nC.image stretching\nD.dead pixel", "answer": "C"}
{"id": "3d0da1bb-8245-49ea-befa-c18f0a852d55", "image_1": "Perception/paired/3d0da1bb-8245-49ea-befa-c18f0a852d55_0.png", "image_2": "Perception/paired/3d0da1bb-8245-49ea-befa-c18f0a852d55_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.No distortion\nB.image compression\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "12761afe-754b-4b9b-8dd7-a90473701130", "image_1": "Perception/paired/12761afe-754b-4b9b-8dd7-a90473701130_0.png", "image_2": "Perception/paired/12761afe-754b-4b9b-8dd7-a90473701130_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.image stretching\nD.missing tiles", "answer": "C"}
{"id": "e3d4867f-0f55-4b8d-8792-7f63c3252500", "image_1": "Perception/paired/e3d4867f-0f55-4b8d-8792-7f63c3252500_0.png", "image_2": "Perception/paired/e3d4867f-0f55-4b8d-8792-7f63c3252500_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image stretching\nC.haze\nD.image compression", "answer": "B"}
{"id": "d0a69505-5cd6-424a-8cca-430462d30ff4", "image_1": "Perception/paired/d0a69505-5cd6-424a-8cca-430462d30ff4_0.png", "image_2": "Perception/paired/d0a69505-5cd6-424a-8cca-430462d30ff4_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "835cccf8-3491-4756-b9c0-814a27fce2a2", "image_1": "Perception/paired/835cccf8-3491-4756-b9c0-814a27fce2a2_0.png", "image_2": "Perception/paired/835cccf8-3491-4756-b9c0-814a27fce2a2_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.cloud\nC.No distortion\nD.blur", "answer": "C"}
{"id": "47fa81e1-4e44-41a7-8398-7bcfa8163b4c", "image_1": "Perception/paired/47fa81e1-4e44-41a7-8398-7bcfa8163b4c_0.png", "image_2": "Perception/paired/47fa81e1-4e44-41a7-8398-7bcfa8163b4c_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.cloud\nB.dead pixel\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "be7f0b6b-a41b-4f4e-a338-e1e587529f12", "image_1": "Perception/paired/be7f0b6b-a41b-4f4e-a338-e1e587529f12_0.png", "image_2": "Perception/paired/be7f0b6b-a41b-4f4e-a338-e1e587529f12_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.image stretching\nC.color distortion\nD.cloud", "answer": "B"}
{"id": "5822934d-c731-400c-a571-f80d129cae53", "image_1": "Perception/paired/5822934d-c731-400c-a571-f80d129cae53_0.png", "image_2": "Perception/paired/5822934d-c731-400c-a571-f80d129cae53_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.haze\nC.image stretching\nD.color distortion", "answer": "C"}
{"id": "79dbe479-c45b-46fd-ab12-6e5072aa20b2", "image_1": "Perception/paired/79dbe479-c45b-46fd-ab12-6e5072aa20b2_0.png", "image_2": "Perception/paired/79dbe479-c45b-46fd-ab12-6e5072aa20b2_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.cloud\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "69aa2ba3-b52d-4b81-9701-003c3bcc51b7", "image_1": "Perception/paired/69aa2ba3-b52d-4b81-9701-003c3bcc51b7_0.png", "image_2": "Perception/paired/69aa2ba3-b52d-4b81-9701-003c3bcc51b7_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "f41b7b6b-ec86-4ed0-b000-3cfb769d1263", "image_1": "Perception/paired/f41b7b6b-ec86-4ed0-b000-3cfb769d1263_0.png", "image_2": "Perception/paired/f41b7b6b-ec86-4ed0-b000-3cfb769d1263_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.blur\nB.image stretching\nC.cloud\nD.noise", "answer": "B"}
{"id": "0fefd410-bf61-47f4-aebc-9f44921b49fc", "image_1": "Perception/paired/0fefd410-bf61-47f4-aebc-9f44921b49fc_0.png", "image_2": "Perception/paired/0fefd410-bf61-47f4-aebc-9f44921b49fc_1.png", "question": "Identify the main distortion introduced between the two images.\nA.cloud\nB.blur\nC.No distortion\nD.image stretching", "answer": "D"}
{"id": "bd3988f0-9404-45cb-9855-1d65cceb699e", "image_1": "Perception/paired/bd3988f0-9404-45cb-9855-1d65cceb699e_0.png", "image_2": "Perception/paired/bd3988f0-9404-45cb-9855-1d65cceb699e_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.missing tiles\nB.color distortion\nC.image stretching\nD.haze", "answer": "C"}
{"id": "772c3256-a679-452d-8621-5582df8c5e66", "image_1": "Perception/paired/772c3256-a679-452d-8621-5582df8c5e66_0.png", "image_2": "Perception/paired/772c3256-a679-452d-8621-5582df8c5e66_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.missing tiles\nB.cloud\nC.No distortion\nD.image stretching", "answer": "D"}
{"id": "fd06f98d-a20f-47af-8e8d-7f80d4327837", "image_1": "Perception/paired/fd06f98d-a20f-47af-8e8d-7f80d4327837_0.png", "image_2": "Perception/paired/fd06f98d-a20f-47af-8e8d-7f80d4327837_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.missing tiles\nB.dead pixel\nC.image stretching\nD.No distortion", "answer": "C"}
{"id": "4ad224a2-79ab-4422-9624-b84207a0e054", "image_1": "Perception/paired/4ad224a2-79ab-4422-9624-b84207a0e054_0.png", "image_2": "Perception/paired/4ad224a2-79ab-4422-9624-b84207a0e054_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.image stretching\nC.haze\nD.image compression", "answer": "B"}
{"id": "4fe5e343-6957-48f3-8599-eb96b59bdb77", "image_1": "Perception/paired/4fe5e343-6957-48f3-8599-eb96b59bdb77_0.png", "image_2": "Perception/paired/4fe5e343-6957-48f3-8599-eb96b59bdb77_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.image stretching\nC.No distortion\nD.image compression", "answer": "B"}
{"id": "289704de-f1fe-4335-ba47-5b64dc0681ab", "image_1": "Perception/paired/289704de-f1fe-4335-ba47-5b64dc0681ab_0.png", "image_2": "Perception/paired/289704de-f1fe-4335-ba47-5b64dc0681ab_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.haze\nB.image compression\nC.cloud\nD.image stretching", "answer": "D"}
{"id": "35631aca-2211-4804-b71a-ba69bfaa0e73", "image_1": "Perception/paired/35631aca-2211-4804-b71a-ba69bfaa0e73_0.png", "image_2": "Perception/paired/35631aca-2211-4804-b71a-ba69bfaa0e73_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image compression\nB.noise\nC.image stretching\nD.missing tiles", "answer": "C"}
{"id": "670cb797-5b4a-4941-b009-d62ac2ababb7", "image_1": "Perception/paired/670cb797-5b4a-4941-b009-d62ac2ababb7_0.png", "image_2": "Perception/paired/670cb797-5b4a-4941-b009-d62ac2ababb7_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.dead pixel\nB.No distortion\nC.haze\nD.image stretching", "answer": "D"}
{"id": "98c4e915-ead9-4cd9-a549-eccd226d8981", "image_1": "Perception/paired/98c4e915-ead9-4cd9-a549-eccd226d8981_0.png", "image_2": "Perception/paired/98c4e915-ead9-4cd9-a549-eccd226d8981_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.image stretching\nB.color distortion\nC.haze\nD.cloud", "answer": "A"}
{"id": "fd76ea35-f6ac-40bb-8c6e-3532396bdf81", "image_1": "Perception/paired/fd76ea35-f6ac-40bb-8c6e-3532396bdf81_0.png", "image_2": "Perception/paired/fd76ea35-f6ac-40bb-8c6e-3532396bdf81_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.image stretching\nB.missing tiles\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "70d0198b-c34d-45ca-a379-4a7b923aca6e", "image_1": "Perception/paired/70d0198b-c34d-45ca-a379-4a7b923aca6e_0.png", "image_2": "Perception/paired/70d0198b-c34d-45ca-a379-4a7b923aca6e_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.haze\nB.image compression\nC.missing tiles\nD.image stretching", "answer": "D"}
{"id": "3420fc82-290d-4131-a214-43d34078b0ee", "image_1": "Perception/paired/3420fc82-290d-4131-a214-43d34078b0ee_0.png", "image_2": "Perception/paired/3420fc82-290d-4131-a214-43d34078b0ee_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.haze\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "dad69dee-5c2d-4051-aff1-e622512ea338", "image_1": "Perception/paired/dad69dee-5c2d-4051-aff1-e622512ea338_0.png", "image_2": "Perception/paired/dad69dee-5c2d-4051-aff1-e622512ea338_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.image stretching\nC.noise\nD.cloud", "answer": "B"}
{"id": "97dd5ed7-75a6-47e7-bd49-bf2ba0500df6", "image_1": "Perception/paired/97dd5ed7-75a6-47e7-bd49-bf2ba0500df6_0.png", "image_2": "Perception/paired/97dd5ed7-75a6-47e7-bd49-bf2ba0500df6_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.image compression\nC.noise\nD.cloud", "answer": "A"}
{"id": "0362e7b5-21d6-495a-ac5f-dd952590fc44", "image_1": "Perception/paired/0362e7b5-21d6-495a-ac5f-dd952590fc44_0.png", "image_2": "Perception/paired/0362e7b5-21d6-495a-ac5f-dd952590fc44_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.dead pixel\nC.image stretching\nD.image compression", "answer": "C"}
{"id": "91b4d481-6e7b-4aff-b7d4-ce82ec06c4cb", "image_1": "Perception/paired/91b4d481-6e7b-4aff-b7d4-ce82ec06c4cb_0.png", "image_2": "Perception/paired/91b4d481-6e7b-4aff-b7d4-ce82ec06c4cb_1.png", "question": "Identify the main distortion introduced between the two images.\nA.noise\nB.blur\nC.color distortion\nD.image stretching", "answer": "D"}
{"id": "642ba69a-6357-4f33-af35-971dfb3d729e", "image_1": "Perception/paired/642ba69a-6357-4f33-af35-971dfb3d729e_0.png", "image_2": "Perception/paired/642ba69a-6357-4f33-af35-971dfb3d729e_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.image stretching\nB.missing tiles\nC.No distortion\nD.haze", "answer": "A"}
{"id": "23ccfa5a-c00f-432f-bf33-183a088763da", "image_1": "Perception/paired/23ccfa5a-c00f-432f-bf33-183a088763da_0.png", "image_2": "Perception/paired/23ccfa5a-c00f-432f-bf33-183a088763da_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.blur\nB.color distortion\nC.dead pixel\nD.image stretching", "answer": "D"}
{"id": "c9333166-8850-4ebc-92f5-d213542db981", "image_1": "Perception/paired/c9333166-8850-4ebc-92f5-d213542db981_0.png", "image_2": "Perception/paired/c9333166-8850-4ebc-92f5-d213542db981_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.No distortion\nB.image stretching\nC.cloud\nD.noise", "answer": "B"}
{"id": "ccc72a26-1137-49f3-9eaf-8a169f47094c", "image_1": "Perception/paired/ccc72a26-1137-49f3-9eaf-8a169f47094c_0.png", "image_2": "Perception/paired/ccc72a26-1137-49f3-9eaf-8a169f47094c_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.blur\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "D"}
{"id": "faead56e-b29f-4824-a295-8d8cffbb1d4c", "image_1": "Perception/paired/faead56e-b29f-4824-a295-8d8cffbb1d4c_0.png", "image_2": "Perception/paired/faead56e-b29f-4824-a295-8d8cffbb1d4c_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.missing tiles\nC.image stretching\nD.No distortion", "answer": "C"}
{"id": "cc06c4d8-be0c-4bd6-912a-5918f3b0d78b", "image_1": "Perception/paired/cc06c4d8-be0c-4bd6-912a-5918f3b0d78b_0.png", "image_2": "Perception/paired/cc06c4d8-be0c-4bd6-912a-5918f3b0d78b_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.No distortion\nC.dead pixel\nD.image stretching", "answer": "D"}
{"id": "8b883cc3-ea78-409e-ac81-cda0117ea8da", "image_1": "Perception/paired/8b883cc3-ea78-409e-ac81-cda0117ea8da_0.png", "image_2": "Perception/paired/8b883cc3-ea78-409e-ac81-cda0117ea8da_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.No distortion\nC.image stretching\nD.haze", "answer": "C"}
{"id": "d8b31a6a-4000-4c89-8a0e-b61a9797971d", "image_1": "Perception/paired/d8b31a6a-4000-4c89-8a0e-b61a9797971d_0.png", "image_2": "Perception/paired/d8b31a6a-4000-4c89-8a0e-b61a9797971d_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.image stretching\nB.blur\nC.No distortion\nD.haze", "answer": "A"}
{"id": "2a19a13b-f726-438e-ac14-6baa0a23450c", "image_1": "Perception/paired/2a19a13b-f726-438e-ac14-6baa0a23450c_0.png", "image_2": "Perception/paired/2a19a13b-f726-438e-ac14-6baa0a23450c_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.image stretching\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "cddfe476-32b5-40f7-a6a7-2ee0c64d076c", "image_1": "Perception/paired/cddfe476-32b5-40f7-a6a7-2ee0c64d076c_0.png", "image_2": "Perception/paired/cddfe476-32b5-40f7-a6a7-2ee0c64d076c_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.color distortion\nB.haze\nC.missing tiles\nD.image stretching", "answer": "D"}
{"id": "0e0f3a12-7413-4872-bbfe-aaff0bbb039e", "image_1": "Perception/paired/0e0f3a12-7413-4872-bbfe-aaff0bbb039e_0.png", "image_2": "Perception/paired/0e0f3a12-7413-4872-bbfe-aaff0bbb039e_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.color distortion\nC.missing tiles\nD.image compression", "answer": "A"}
{"id": "25d968e0-458f-4dc3-800e-c884de491871", "image_1": "Perception/paired/25d968e0-458f-4dc3-800e-c884de491871_0.png", "image_2": "Perception/paired/25d968e0-458f-4dc3-800e-c884de491871_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.No distortion\nB.image stretching\nC.haze\nD.image compression", "answer": "B"}
{"id": "83de62d3-5a86-4ebf-83b8-5503b026ef25", "image_1": "Perception/paired/83de62d3-5a86-4ebf-83b8-5503b026ef25_0.png", "image_2": "Perception/paired/83de62d3-5a86-4ebf-83b8-5503b026ef25_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image compression\nC.color distortion\nD.blur", "answer": "A"}
{"id": "b572ba94-447b-4f85-bd7f-dec2b3624a28", "image_1": "Perception/paired/b572ba94-447b-4f85-bd7f-dec2b3624a28_0.png", "image_2": "Perception/paired/b572ba94-447b-4f85-bd7f-dec2b3624a28_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.No distortion\nC.image compression\nD.noise", "answer": "B"}
{"id": "129207ef-e374-4b1b-80b4-ab25701161ef", "image_1": "Perception/paired/129207ef-e374-4b1b-80b4-ab25701161ef_0.png", "image_2": "Perception/paired/129207ef-e374-4b1b-80b4-ab25701161ef_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.image stretching\nB.cloud\nC.noise\nD.image compression", "answer": "A"}
{"id": "7e9839b3-7cb7-4c39-9489-df72d762ce7d", "image_1": "Perception/paired/7e9839b3-7cb7-4c39-9489-df72d762ce7d_0.png", "image_2": "Perception/paired/7e9839b3-7cb7-4c39-9489-df72d762ce7d_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image compression\nB.image stretching\nC.haze\nD.No distortion", "answer": "D"}
{"id": "6563ce8d-435a-4f99-bae9-af6c61e3a9f8", "image_1": "Perception/paired/6563ce8d-435a-4f99-bae9-af6c61e3a9f8_0.png", "image_2": "Perception/paired/6563ce8d-435a-4f99-bae9-af6c61e3a9f8_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.image compression\nC.image stretching\nD.cloud", "answer": "C"}
{"id": "4aba205f-c112-45d0-a416-d80e968bbc68", "image_1": "Perception/paired/4aba205f-c112-45d0-a416-d80e968bbc68_0.png", "image_2": "Perception/paired/4aba205f-c112-45d0-a416-d80e968bbc68_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.noise\nC.image stretching\nD.dead pixel", "answer": "C"}
{"id": "978c8958-180a-4898-9d7f-114674f8658a", "image_1": "Perception/paired/978c8958-180a-4898-9d7f-114674f8658a_0.png", "image_2": "Perception/paired/978c8958-180a-4898-9d7f-114674f8658a_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image stretching\nB.image compression\nC.haze\nD.color distortion", "answer": "A"}
{"id": "3cf41cf5-056d-4b6c-8cd3-7e4bbed1797c", "image_1": "Perception/paired/3cf41cf5-056d-4b6c-8cd3-7e4bbed1797c_0.png", "image_2": "Perception/paired/3cf41cf5-056d-4b6c-8cd3-7e4bbed1797c_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image stretching\nB.dead pixel\nC.image compression\nD.No distortion", "answer": "A"}
{"id": "02eb2f6f-9a86-4fa3-838f-939105592213", "image_1": "Perception/paired/02eb2f6f-9a86-4fa3-838f-939105592213_0.png", "image_2": "Perception/paired/02eb2f6f-9a86-4fa3-838f-939105592213_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "69633512-9a24-44e2-9ee3-cd540b06d64e", "image_1": "Perception/paired/69633512-9a24-44e2-9ee3-cd540b06d64e_0.png", "image_2": "Perception/paired/69633512-9a24-44e2-9ee3-cd540b06d64e_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.color distortion\nB.image compression\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "9c861843-d564-4e05-98fb-c08220aef8f8", "image_1": "Perception/paired/9c861843-d564-4e05-98fb-c08220aef8f8_0.png", "image_2": "Perception/paired/9c861843-d564-4e05-98fb-c08220aef8f8_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.blur\nB.No distortion\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "22bdc9e0-0df1-4e95-83a3-d9622e618de4", "image_1": "Perception/paired/22bdc9e0-0df1-4e95-83a3-d9622e618de4_0.png", "image_2": "Perception/paired/22bdc9e0-0df1-4e95-83a3-d9622e618de4_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.missing tiles\nB.color distortion\nC.image stretching\nD.image compression", "answer": "C"}
{"id": "d2d7cd9e-81c3-42cc-b435-36684030c986", "image_1": "Perception/paired/d2d7cd9e-81c3-42cc-b435-36684030c986_0.png", "image_2": "Perception/paired/d2d7cd9e-81c3-42cc-b435-36684030c986_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.image stretching\nC.noise\nD.No distortion", "answer": "B"}
{"id": "c6c7af43-7268-4898-a223-f7307c23d651", "image_1": "Perception/paired/c6c7af43-7268-4898-a223-f7307c23d651_0.png", "image_2": "Perception/paired/c6c7af43-7268-4898-a223-f7307c23d651_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.missing tiles\nC.image compression\nD.image stretching", "answer": "D"}
{"id": "b087f174-82fd-446c-aa2a-6e08e0e166f9", "image_1": "Perception/paired/b087f174-82fd-446c-aa2a-6e08e0e166f9_0.png", "image_2": "Perception/paired/b087f174-82fd-446c-aa2a-6e08e0e166f9_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.color distortion\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "93303a94-ce8b-4c4c-ab9c-7269e6608fff", "image_1": "Perception/paired/93303a94-ce8b-4c4c-ab9c-7269e6608fff_0.png", "image_2": "Perception/paired/93303a94-ce8b-4c4c-ab9c-7269e6608fff_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.image stretching\nB.image compression\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "593d8614-9d3f-4d94-b80b-137d3de3385e", "image_1": "Perception/paired/593d8614-9d3f-4d94-b80b-137d3de3385e_0.png", "image_2": "Perception/paired/593d8614-9d3f-4d94-b80b-137d3de3385e_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.image stretching\nD.missing tiles", "answer": "C"}
{"id": "18cf86cc-e880-4749-8851-15649c7472c0", "image_1": "Perception/paired/18cf86cc-e880-4749-8851-15649c7472c0_0.png", "image_2": "Perception/paired/18cf86cc-e880-4749-8851-15649c7472c0_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image stretching\nC.haze\nD.image compression", "answer": "B"}
{"id": "b1065c4d-6084-4ab3-ba43-15f536b3008a", "image_1": "Perception/paired/b1065c4d-6084-4ab3-ba43-15f536b3008a_0.png", "image_2": "Perception/paired/b1065c4d-6084-4ab3-ba43-15f536b3008a_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "e1bbd61d-e3f8-4053-ab61-a40a4597fe64", "image_1": "Perception/paired/e1bbd61d-e3f8-4053-ab61-a40a4597fe64_0.png", "image_2": "Perception/paired/e1bbd61d-e3f8-4053-ab61-a40a4597fe64_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.cloud\nC.image stretching\nD.blur", "answer": "C"}
{"id": "4b0eabb2-2843-4b6c-84b1-0e3fa879d404", "image_1": "Perception/paired/4b0eabb2-2843-4b6c-84b1-0e3fa879d404_0.png", "image_2": "Perception/paired/4b0eabb2-2843-4b6c-84b1-0e3fa879d404_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.cloud\nB.dead pixel\nC.image stretching\nD.color distortion", "answer": "C"}
{"id": "c1e8473e-34be-408b-8f98-6c8ca5291b9d", "image_1": "Perception/paired/c1e8473e-34be-408b-8f98-6c8ca5291b9d_0.png", "image_2": "Perception/paired/c1e8473e-34be-408b-8f98-6c8ca5291b9d_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.image stretching\nC.color distortion\nD.cloud", "answer": "B"}
{"id": "78d391c8-91a4-4c53-bfe1-e4f1c20efe94", "image_1": "Perception/paired/78d391c8-91a4-4c53-bfe1-e4f1c20efe94_0.png", "image_2": "Perception/paired/78d391c8-91a4-4c53-bfe1-e4f1c20efe94_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.haze\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "123191aa-782d-4886-94c3-915a5949f7d1", "image_1": "Perception/paired/123191aa-782d-4886-94c3-915a5949f7d1_0.png", "image_2": "Perception/paired/123191aa-782d-4886-94c3-915a5949f7d1_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.cloud\nC.image stretching\nD.image compression", "answer": "C"}
{"id": "75556ffa-0623-4fb6-86ec-767897c95fa8", "image_1": "Perception/paired/75556ffa-0623-4fb6-86ec-767897c95fa8_0.png", "image_2": "Perception/paired/75556ffa-0623-4fb6-86ec-767897c95fa8_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "063c3c91-2c04-4e41-8e26-f0917ba1fe8d", "image_1": "Perception/paired/063c3c91-2c04-4e41-8e26-f0917ba1fe8d_0.png", "image_2": "Perception/paired/063c3c91-2c04-4e41-8e26-f0917ba1fe8d_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.blur\nB.image stretching\nC.cloud\nD.noise", "answer": "B"}
{"id": "2ec92704-6d15-4246-b27b-b6419522952e", "image_1": "Perception/paired/2ec92704-6d15-4246-b27b-b6419522952e_0.png", "image_2": "Perception/paired/2ec92704-6d15-4246-b27b-b6419522952e_1.png", "question": "Identify the main distortion introduced between the two images.\nA.cloud\nB.blur\nC.No distortion\nD.image stretching", "answer": "D"}
{"id": "d27eb9ed-0904-44ce-8a10-c72494266d89", "image_1": "Perception/paired/d27eb9ed-0904-44ce-8a10-c72494266d89_0.png", "image_2": "Perception/paired/d27eb9ed-0904-44ce-8a10-c72494266d89_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.missing tiles\nB.color distortion\nC.image stretching\nD.haze", "answer": "C"}
{"id": "e89ce929-374e-4d3e-be07-d409a3a9051d", "image_1": "Perception/paired/e89ce929-374e-4d3e-be07-d409a3a9051d_0.png", "image_2": "Perception/paired/e89ce929-374e-4d3e-be07-d409a3a9051d_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.missing tiles\nB.cloud\nC.No distortion\nD.image stretching", "answer": "D"}
{"id": "3c7d4a79-f5a0-4d8e-a29e-56b5bfead9fa", "image_1": "Perception/paired/3c7d4a79-f5a0-4d8e-a29e-56b5bfead9fa_0.png", "image_2": "Perception/paired/3c7d4a79-f5a0-4d8e-a29e-56b5bfead9fa_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.missing tiles\nB.dead pixel\nC.image stretching\nD.No distortion", "answer": "C"}
{"id": "8f36395e-d8ea-4071-b40e-0e5ddbbd4c47", "image_1": "Perception/paired/8f36395e-d8ea-4071-b40e-0e5ddbbd4c47_0.png", "image_2": "Perception/paired/8f36395e-d8ea-4071-b40e-0e5ddbbd4c47_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.image stretching\nC.haze\nD.image compression", "answer": "B"}
{"id": "20fe27f7-e482-4997-9171-8875bfba404a", "image_1": "Perception/paired/20fe27f7-e482-4997-9171-8875bfba404a_0.png", "image_2": "Perception/paired/20fe27f7-e482-4997-9171-8875bfba404a_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.image stretching\nC.No distortion\nD.image compression", "answer": "B"}
{"id": "fc8b9bb5-ce0b-45af-8391-625d7738b1fb", "image_1": "Perception/paired/fc8b9bb5-ce0b-45af-8391-625d7738b1fb_0.png", "image_2": "Perception/paired/fc8b9bb5-ce0b-45af-8391-625d7738b1fb_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.dead pixel\nB.missing tiles\nC.image stretching\nD.blur", "answer": "C"}
{"id": "95067e9a-b557-44f2-b57a-aa5b8c9cf682", "image_1": "Perception/paired/95067e9a-b557-44f2-b57a-aa5b8c9cf682_0.png", "image_2": "Perception/paired/95067e9a-b557-44f2-b57a-aa5b8c9cf682_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.haze\nB.dead pixel\nC.blur\nD.image stretching", "answer": "D"}
{"id": "fca4fa3e-554f-4882-b7f4-87880b478d24", "image_1": "Perception/paired/fca4fa3e-554f-4882-b7f4-87880b478d24_0.png", "image_2": "Perception/paired/fca4fa3e-554f-4882-b7f4-87880b478d24_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.color distortion\nB.image stretching\nC.No distortion\nD.dead pixel", "answer": "B"}
{"id": "1c6cde9a-4e22-4e9b-9da2-e614f215ae81", "image_1": "Perception/paired/1c6cde9a-4e22-4e9b-9da2-e614f215ae81_0.png", "image_2": "Perception/paired/1c6cde9a-4e22-4e9b-9da2-e614f215ae81_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.image stretching\nB.color distortion\nC.missing tiles\nD.No distortion", "answer": "A"}
{"id": "bf3f8793-7293-4e56-85ef-0042afea0323", "image_1": "Perception/paired/bf3f8793-7293-4e56-85ef-0042afea0323_0.png", "image_2": "Perception/paired/bf3f8793-7293-4e56-85ef-0042afea0323_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.blur\nC.image stretching\nD.image compression", "answer": "C"}
{"id": "5e9aaa9f-db81-4e75-b22f-4a88c16cb25b", "image_1": "Perception/paired/5e9aaa9f-db81-4e75-b22f-4a88c16cb25b_0.png", "image_2": "Perception/paired/5e9aaa9f-db81-4e75-b22f-4a88c16cb25b_1.png", "question": "Identify the main distortion introduced between the two images.\nA.cloud\nB.No distortion\nC.image stretching\nD.dead pixel", "answer": "C"}
{"id": "4d26af30-6ac0-4a63-80b8-054cbde4ed3e", "image_1": "Perception/paired/4d26af30-6ac0-4a63-80b8-054cbde4ed3e_0.png", "image_2": "Perception/paired/4d26af30-6ac0-4a63-80b8-054cbde4ed3e_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.color distortion\nB.image stretching\nC.No distortion\nD.noise", "answer": "B"}
{"id": "2e1e5189-273c-41ee-a025-63c4c053cb81", "image_1": "Perception/paired/2e1e5189-273c-41ee-a025-63c4c053cb81_0.png", "image_2": "Perception/paired/2e1e5189-273c-41ee-a025-63c4c053cb81_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.dead pixel\nB.noise\nC.No distortion\nD.image stretching", "answer": "D"}
{"id": "111f554e-1fbd-410e-be57-a335cb407000", "image_1": "Perception/paired/111f554e-1fbd-410e-be57-a335cb407000_0.png", "image_2": "Perception/paired/111f554e-1fbd-410e-be57-a335cb407000_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.image stretching\nC.noise\nD.color distortion", "answer": "B"}
{"id": "9e2e92cc-0800-47f4-855c-b3ac5ff40698", "image_1": "Perception/paired/9e2e92cc-0800-47f4-855c-b3ac5ff40698_0.png", "image_2": "Perception/paired/9e2e92cc-0800-47f4-855c-b3ac5ff40698_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image compression\nB.No distortion\nC.color distortion\nD.image stretching", "answer": "D"}
{"id": "d27b155e-444c-4e93-a4e3-e7139be94c2d", "image_1": "Perception/paired/d27b155e-444c-4e93-a4e3-e7139be94c2d_0.png", "image_2": "Perception/paired/d27b155e-444c-4e93-a4e3-e7139be94c2d_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.cloud\nB.image stretching\nC.color distortion\nD.blur", "answer": "B"}
{"id": "f1f1b9d9-7ca9-4eca-9a2d-d714c5caae82", "image_1": "Perception/paired/f1f1b9d9-7ca9-4eca-9a2d-d714c5caae82_0.png", "image_2": "Perception/paired/f1f1b9d9-7ca9-4eca-9a2d-d714c5caae82_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.image stretching\nB.haze\nC.No distortion\nD.color distortion", "answer": "A"}
{"id": "7112ff30-3e34-4f02-a087-17054132e7b5", "image_1": "Perception/paired/7112ff30-3e34-4f02-a087-17054132e7b5_0.png", "image_2": "Perception/paired/7112ff30-3e34-4f02-a087-17054132e7b5_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.haze\nB.image stretching\nC.blur\nD.image compression", "answer": "B"}
{"id": "68f76cd0-b2b8-45c1-aa9c-6bf2d42e8e72", "image_1": "Perception/paired/68f76cd0-b2b8-45c1-aa9c-6bf2d42e8e72_0.png", "image_2": "Perception/paired/68f76cd0-b2b8-45c1-aa9c-6bf2d42e8e72_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.image compression\nB.noise\nC.image stretching\nD.blur", "answer": "C"}
{"id": "4070d643-d91a-4c8c-a60c-4793ea24d14d", "image_1": "Perception/paired/4070d643-d91a-4c8c-a60c-4793ea24d14d_0.png", "image_2": "Perception/paired/4070d643-d91a-4c8c-a60c-4793ea24d14d_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.No distortion\nC.image compression\nD.missing tiles", "answer": "A"}
{"id": "63cbafa0-64bc-43aa-9b40-9998aa51713c", "image_1": "Perception/paired/63cbafa0-64bc-43aa-9b40-9998aa51713c_0.png", "image_2": "Perception/paired/63cbafa0-64bc-43aa-9b40-9998aa51713c_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.cloud\nC.dead pixel\nD.image stretching", "answer": "C"}
{"id": "9914956d-d048-4f38-924a-9df238b5576a", "image_1": "Perception/paired/9914956d-d048-4f38-924a-9df238b5576a_0.png", "image_2": "Perception/paired/9914956d-d048-4f38-924a-9df238b5576a_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.image stretching\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "2702c6d3-ecfd-4320-b564-4f22a6bc988b", "image_1": "Perception/paired/2702c6d3-ecfd-4320-b564-4f22a6bc988b_0.png", "image_2": "Perception/paired/2702c6d3-ecfd-4320-b564-4f22a6bc988b_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.blur\nB.image stretching\nC.dead pixel\nD.missing tiles", "answer": "C"}
{"id": "30696add-a03c-470f-814f-0133e991389c", "image_1": "Perception/paired/30696add-a03c-470f-814f-0133e991389c_0.png", "image_2": "Perception/paired/30696add-a03c-470f-814f-0133e991389c_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.dead pixel\nB.image compression\nC.image stretching\nD.missing tiles", "answer": "A"}
{"id": "c7151e32-806d-4f43-a48e-22e9de1259b6", "image_1": "Perception/paired/c7151e32-806d-4f43-a48e-22e9de1259b6_0.png", "image_2": "Perception/paired/c7151e32-806d-4f43-a48e-22e9de1259b6_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.missing tiles\nB.image stretching\nC.blur\nD.dead pixel", "answer": "D"}
{"id": "f7ac6007-a5be-4fd1-980e-a54ce57d0ea8", "image_1": "Perception/paired/f7ac6007-a5be-4fd1-980e-a54ce57d0ea8_0.png", "image_2": "Perception/paired/f7ac6007-a5be-4fd1-980e-a54ce57d0ea8_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.color distortion\nB.haze\nC.missing tiles\nD.No distortion", "answer": "D"}
{"id": "a0120c4f-ac60-42cf-8c3b-7969002313e6", "image_1": "Perception/paired/a0120c4f-ac60-42cf-8c3b-7969002313e6_0.png", "image_2": "Perception/paired/a0120c4f-ac60-42cf-8c3b-7969002313e6_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.dead pixel\nB.haze\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "d77c9d71-4f08-4593-8b92-981a70578fe4", "image_1": "Perception/paired/d77c9d71-4f08-4593-8b92-981a70578fe4_0.png", "image_2": "Perception/paired/d77c9d71-4f08-4593-8b92-981a70578fe4_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.dead pixel\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "d7303778-ea8c-4c62-a339-142de57a2d33", "image_1": "Perception/paired/d7303778-ea8c-4c62-a339-142de57a2d33_0.png", "image_2": "Perception/paired/d7303778-ea8c-4c62-a339-142de57a2d33_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.dead pixel\nB.No distortion\nC.haze\nD.image compression", "answer": "A"}
{"id": "1f30680c-76c2-4590-8637-924bbc32e36e", "image_1": "Perception/paired/1f30680c-76c2-4590-8637-924bbc32e36e_0.png", "image_2": "Perception/paired/1f30680c-76c2-4590-8637-924bbc32e36e_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.dead pixel\nC.No distortion\nD.noise", "answer": "B"}
{"id": "2f242c57-bd97-4b36-98e0-ee7d18f1fe25", "image_1": "Perception/paired/2f242c57-bd97-4b36-98e0-ee7d18f1fe25_0.png", "image_2": "Perception/paired/2f242c57-bd97-4b36-98e0-ee7d18f1fe25_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.dead pixel\nB.blur\nC.noise\nD.No distortion", "answer": "A"}
{"id": "682efef2-7048-4011-8209-88fa29653f03", "image_1": "Perception/paired/682efef2-7048-4011-8209-88fa29653f03_0.png", "image_2": "Perception/paired/682efef2-7048-4011-8209-88fa29653f03_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image stretching\nC.missing tiles\nD.dead pixel", "answer": "D"}
{"id": "1fc91e82-4b82-4c41-b348-07631baad85f", "image_1": "Perception/paired/1fc91e82-4b82-4c41-b348-07631baad85f_0.png", "image_2": "Perception/paired/1fc91e82-4b82-4c41-b348-07631baad85f_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.cloud\nB.No distortion\nC.dead pixel\nD.blur", "answer": "C"}
{"id": "72fb2b36-c234-4250-a7b0-50f5e8c5ca84", "image_1": "Perception/paired/72fb2b36-c234-4250-a7b0-50f5e8c5ca84_0.png", "image_2": "Perception/paired/72fb2b36-c234-4250-a7b0-50f5e8c5ca84_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.noise\nC.dead pixel\nD.color distortion", "answer": "C"}
{"id": "cee43947-c0da-4f54-95e5-bab2fe5a8b21", "image_1": "Perception/paired/cee43947-c0da-4f54-95e5-bab2fe5a8b21_0.png", "image_2": "Perception/paired/cee43947-c0da-4f54-95e5-bab2fe5a8b21_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.dead pixel\nB.No distortion\nC.missing tiles\nD.haze", "answer": "A"}
{"id": "235268d3-b192-4e33-a836-4b7608a00ed7", "image_1": "Perception/paired/235268d3-b192-4e33-a836-4b7608a00ed7_0.png", "image_2": "Perception/paired/235268d3-b192-4e33-a836-4b7608a00ed7_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.dead pixel\nB.color distortion\nC.No distortion\nD.image stretching", "answer": "A"}
{"id": "7d740f66-65f1-4275-84ca-02d922013506", "image_1": "Perception/paired/7d740f66-65f1-4275-84ca-02d922013506_0.png", "image_2": "Perception/paired/7d740f66-65f1-4275-84ca-02d922013506_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.dead pixel\nB.haze\nC.noise\nD.cloud", "answer": "A"}
{"id": "a2ab48a7-1297-4172-aded-b4e966030339", "image_1": "Perception/paired/a2ab48a7-1297-4172-aded-b4e966030339_0.png", "image_2": "Perception/paired/a2ab48a7-1297-4172-aded-b4e966030339_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.haze\nB.No distortion\nC.dead pixel\nD.cloud", "answer": "C"}
{"id": "e49abfd1-c3ff-40ab-8820-62bd1fa0daaa", "image_1": "Perception/paired/e49abfd1-c3ff-40ab-8820-62bd1fa0daaa_0.png", "image_2": "Perception/paired/e49abfd1-c3ff-40ab-8820-62bd1fa0daaa_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image compression\nB.dead pixel\nC.image stretching\nD.color distortion", "answer": "B"}
{"id": "9f39e187-4ede-4d60-a467-1a98b6bbf2e6", "image_1": "Perception/paired/9f39e187-4ede-4d60-a467-1a98b6bbf2e6_0.png", "image_2": "Perception/paired/9f39e187-4ede-4d60-a467-1a98b6bbf2e6_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.haze\nC.dead pixel\nD.No distortion", "answer": "C"}
{"id": "c20ee50b-719d-43f8-9b5b-4759b94671d6", "image_1": "Perception/paired/c20ee50b-719d-43f8-9b5b-4759b94671d6_0.png", "image_2": "Perception/paired/c20ee50b-719d-43f8-9b5b-4759b94671d6_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.cloud\nB.dead pixel\nC.noise\nD.image stretching", "answer": "B"}
{"id": "197ac633-9226-4102-a113-36f5377b37fa", "image_1": "Perception/paired/197ac633-9226-4102-a113-36f5377b37fa_0.png", "image_2": "Perception/paired/197ac633-9226-4102-a113-36f5377b37fa_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "8db46c92-7a53-4791-a626-25adf7052b91", "image_1": "Perception/paired/8db46c92-7a53-4791-a626-25adf7052b91_0.png", "image_2": "Perception/paired/8db46c92-7a53-4791-a626-25adf7052b91_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.haze\nC.dead pixel\nD.color distortion", "answer": "C"}
{"id": "ca48915a-6dc5-422b-bcc2-959470f76275", "image_1": "Perception/paired/ca48915a-6dc5-422b-bcc2-959470f76275_0.png", "image_2": "Perception/paired/ca48915a-6dc5-422b-bcc2-959470f76275_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.dead pixel\nB.No distortion\nC.haze\nD.cloud", "answer": "A"}
{"id": "eb2af7d6-9554-464f-8f82-37b0b6d3909b", "image_1": "Perception/paired/eb2af7d6-9554-464f-8f82-37b0b6d3909b_0.png", "image_2": "Perception/paired/eb2af7d6-9554-464f-8f82-37b0b6d3909b_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "d96fef86-355f-4383-846e-10ef98f06db5", "image_1": "Perception/paired/d96fef86-355f-4383-846e-10ef98f06db5_0.png", "image_2": "Perception/paired/d96fef86-355f-4383-846e-10ef98f06db5_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.dead pixel\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "932d991d-2dcb-44b5-b0c7-ae75c612882b", "image_1": "Perception/paired/932d991d-2dcb-44b5-b0c7-ae75c612882b_0.png", "image_2": "Perception/paired/932d991d-2dcb-44b5-b0c7-ae75c612882b_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "2e151083-d551-4111-9222-c1c0e0da6028", "image_1": "Perception/paired/2e151083-d551-4111-9222-c1c0e0da6028_0.png", "image_2": "Perception/paired/2e151083-d551-4111-9222-c1c0e0da6028_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.blur\nC.dead pixel\nD.image compression", "answer": "C"}
{"id": "a87d15bc-0cc8-4041-a753-4f29f9342ccc", "image_1": "Perception/paired/a87d15bc-0cc8-4041-a753-4f29f9342ccc_0.png", "image_2": "Perception/paired/a87d15bc-0cc8-4041-a753-4f29f9342ccc_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.cloud\nB.dead pixel\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "c6349a1c-70b2-4462-816c-5b44ecdecabc", "image_1": "Perception/paired/c6349a1c-70b2-4462-816c-5b44ecdecabc_0.png", "image_2": "Perception/paired/c6349a1c-70b2-4462-816c-5b44ecdecabc_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.dead pixel\nC.haze\nD.blur", "answer": "B"}
{"id": "973d1405-56bf-4ef0-8e88-38849b672032", "image_1": "Perception/paired/973d1405-56bf-4ef0-8e88-38849b672032_0.png", "image_2": "Perception/paired/973d1405-56bf-4ef0-8e88-38849b672032_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.haze", "answer": "C"}
{"id": "1ce90883-7aed-4145-8357-e521ddad52ca", "image_1": "Perception/paired/1ce90883-7aed-4145-8357-e521ddad52ca_0.png", "image_2": "Perception/paired/1ce90883-7aed-4145-8357-e521ddad52ca_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.color distortion\nB.blur\nC.dead pixel\nD.No distortion", "answer": "C"}
{"id": "beccdc29-9240-4665-8c01-b5146721db69", "image_1": "Perception/paired/beccdc29-9240-4665-8c01-b5146721db69_0.png", "image_2": "Perception/paired/beccdc29-9240-4665-8c01-b5146721db69_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "8e9e4f89-4a73-484c-9a98-019de22aaf62", "image_1": "Perception/paired/8e9e4f89-4a73-484c-9a98-019de22aaf62_0.png", "image_2": "Perception/paired/8e9e4f89-4a73-484c-9a98-019de22aaf62_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.dead pixel\nC.blur\nD.noise", "answer": "B"}
{"id": "a1834af8-c2ae-4bd1-b097-8a0c03705b7a", "image_1": "Perception/paired/a1834af8-c2ae-4bd1-b097-8a0c03705b7a_0.png", "image_2": "Perception/paired/a1834af8-c2ae-4bd1-b097-8a0c03705b7a_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.image compression\nC.image stretching\nD.dead pixel", "answer": "D"}
{"id": "c1fa8abd-7c78-450b-ad99-0aa8c9faeb0d", "image_1": "Perception/paired/c1fa8abd-7c78-450b-ad99-0aa8c9faeb0d_0.png", "image_2": "Perception/paired/c1fa8abd-7c78-450b-ad99-0aa8c9faeb0d_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.haze\nC.dead pixel\nD.missing tiles", "answer": "C"}
{"id": "65185dcb-4361-43f8-bfa3-93e675a623f6", "image_1": "Perception/paired/65185dcb-4361-43f8-bfa3-93e675a623f6_0.png", "image_2": "Perception/paired/65185dcb-4361-43f8-bfa3-93e675a623f6_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.cloud\nB.blur\nC.image stretching\nD.dead pixel", "answer": "D"}
{"id": "6737305d-215c-439b-959b-7395df03ff2e", "image_1": "Perception/paired/6737305d-215c-439b-959b-7395df03ff2e_0.png", "image_2": "Perception/paired/6737305d-215c-439b-959b-7395df03ff2e_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.cloud\nB.color distortion\nC.dead pixel\nD.image stretching", "answer": "C"}
{"id": "3abdff33-70ac-45e3-a15e-a8f2949bdb52", "image_1": "Perception/paired/3abdff33-70ac-45e3-a15e-a8f2949bdb52_0.png", "image_2": "Perception/paired/3abdff33-70ac-45e3-a15e-a8f2949bdb52_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.dead pixel\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "741a9bc4-13a0-402a-8672-5e3a64e1cb2f", "image_1": "Perception/paired/741a9bc4-13a0-402a-8672-5e3a64e1cb2f_0.png", "image_2": "Perception/paired/741a9bc4-13a0-402a-8672-5e3a64e1cb2f_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.blur\nB.dead pixel\nC.image stretching\nD.No distortion", "answer": "B"}
{"id": "9328ad8c-9d67-44ad-8e3a-ca45a544657b", "image_1": "Perception/paired/9328ad8c-9d67-44ad-8e3a-ca45a544657b_0.png", "image_2": "Perception/paired/9328ad8c-9d67-44ad-8e3a-ca45a544657b_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.noise\nB.image compression\nC.dead pixel\nD.missing tiles", "answer": "C"}
{"id": "515bcaa1-fc64-4a25-b43c-b5339543b74e", "image_1": "Perception/paired/515bcaa1-fc64-4a25-b43c-b5339543b74e_0.png", "image_2": "Perception/paired/515bcaa1-fc64-4a25-b43c-b5339543b74e_1.png", "question": "Identify the main distortion introduced between the two images.\nA.noise\nB.image compression\nC.color distortion\nD.dead pixel", "answer": "D"}
{"id": "fe5a3595-ab7e-4807-afd5-b238b9a8353a", "image_1": "Perception/paired/fe5a3595-ab7e-4807-afd5-b238b9a8353a_0.png", "image_2": "Perception/paired/fe5a3595-ab7e-4807-afd5-b238b9a8353a_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.No distortion\nB.blur\nC.dead pixel\nD.haze", "answer": "C"}
{"id": "6ff6fec4-fa84-428a-b5d3-61e695b72682", "image_1": "Perception/paired/6ff6fec4-fa84-428a-b5d3-61e695b72682_0.png", "image_2": "Perception/paired/6ff6fec4-fa84-428a-b5d3-61e695b72682_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.cloud\nB.dead pixel\nC.image compression\nD.color distortion", "answer": "B"}
{"id": "8690e3e4-9101-4580-8a7c-e936ebbb1f78", "image_1": "Perception/paired/8690e3e4-9101-4580-8a7c-e936ebbb1f78_0.png", "image_2": "Perception/paired/8690e3e4-9101-4580-8a7c-e936ebbb1f78_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.blur\nB.missing tiles\nC.dead pixel\nD.image stretching", "answer": "C"}
{"id": "ebdad1cb-e551-434b-81de-4dfa9cab7c23", "image_1": "Perception/paired/ebdad1cb-e551-434b-81de-4dfa9cab7c23_0.png", "image_2": "Perception/paired/ebdad1cb-e551-434b-81de-4dfa9cab7c23_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.No distortion\nB.dead pixel\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "fa9b8e59-df81-4049-a5b3-9429ffa81040", "image_1": "Perception/paired/fa9b8e59-df81-4049-a5b3-9429ffa81040_0.png", "image_2": "Perception/paired/fa9b8e59-df81-4049-a5b3-9429ffa81040_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.dead pixel\nB.image stretching\nC.color distortion\nD.noise", "answer": "A"}
{"id": "ada294cc-2ddd-41c1-89e0-709f665d5c4b", "image_1": "Perception/paired/ada294cc-2ddd-41c1-89e0-709f665d5c4b_0.png", "image_2": "Perception/paired/ada294cc-2ddd-41c1-89e0-709f665d5c4b_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.No distortion\nB.image stretching\nC.dead pixel\nD.cloud", "answer": "C"}
{"id": "6dc25b1b-774f-41eb-83f7-3a899cbd4d6e", "image_1": "Perception/paired/6dc25b1b-774f-41eb-83f7-3a899cbd4d6e_0.png", "image_2": "Perception/paired/6dc25b1b-774f-41eb-83f7-3a899cbd4d6e_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.color distortion\nB.blur\nC.dead pixel\nD.No distortion", "answer": "C"}
{"id": "a6db9fdc-4169-4bdf-8848-2d5ce8cf6e18", "image_1": "Perception/paired/a6db9fdc-4169-4bdf-8848-2d5ce8cf6e18_0.png", "image_2": "Perception/paired/a6db9fdc-4169-4bdf-8848-2d5ce8cf6e18_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.cloud\nB.dead pixel\nC.noise\nD.image stretching", "answer": "B"}
{"id": "2bf72710-99cc-4ee6-82d6-f4b13c2f1fb5", "image_1": "Perception/paired/2bf72710-99cc-4ee6-82d6-f4b13c2f1fb5_0.png", "image_2": "Perception/paired/2bf72710-99cc-4ee6-82d6-f4b13c2f1fb5_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.image compression\nC.blur\nD.image stretching", "answer": "A"}
{"id": "f3e39fbd-8be5-4745-be15-f68a50f273b4", "image_1": "Perception/paired/f3e39fbd-8be5-4745-be15-f68a50f273b4_0.png", "image_2": "Perception/paired/f3e39fbd-8be5-4745-be15-f68a50f273b4_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.dead pixel\nC.noise\nD.cloud", "answer": "B"}
{"id": "c0c06c04-e87e-4b71-9f2c-ebe7f95e589d", "image_1": "Perception/paired/c0c06c04-e87e-4b71-9f2c-ebe7f95e589d_0.png", "image_2": "Perception/paired/c0c06c04-e87e-4b71-9f2c-ebe7f95e589d_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.dead pixel\nB.cloud\nC.image compression\nD.image stretching", "answer": "A"}
{"id": "8aec82e5-85fd-46d7-a92a-7dbc5defae92", "image_1": "Perception/paired/8aec82e5-85fd-46d7-a92a-7dbc5defae92_0.png", "image_2": "Perception/paired/8aec82e5-85fd-46d7-a92a-7dbc5defae92_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.blur\nC.color distortion\nD.dead pixel", "answer": "D"}
{"id": "7b656ba0-5c34-4044-9f11-03659087e7d7", "image_1": "Perception/paired/7b656ba0-5c34-4044-9f11-03659087e7d7_0.png", "image_2": "Perception/paired/7b656ba0-5c34-4044-9f11-03659087e7d7_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.image compression\nB.color distortion\nC.dead pixel\nD.haze", "answer": "C"}
{"id": "befd1bfe-64e0-4508-8c81-62d676514948", "image_1": "Perception/paired/befd1bfe-64e0-4508-8c81-62d676514948_0.png", "image_2": "Perception/paired/befd1bfe-64e0-4508-8c81-62d676514948_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.cloud\nC.dead pixel\nD.image stretching", "answer": "C"}
{"id": "48979996-12c4-46e4-9a08-1122139bfb58", "image_1": "Perception/paired/48979996-12c4-46e4-9a08-1122139bfb58_0.png", "image_2": "Perception/paired/48979996-12c4-46e4-9a08-1122139bfb58_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.haze\nB.image stretching\nC.color distortion\nD.dead pixel", "answer": "D"}
{"id": "0c898906-4d21-4931-98d8-376b25daad39", "image_1": "Perception/paired/0c898906-4d21-4931-98d8-376b25daad39_0.png", "image_2": "Perception/paired/0c898906-4d21-4931-98d8-376b25daad39_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.blur\nB.image stretching\nC.dead pixel\nD.missing tiles", "answer": "C"}
{"id": "c9da1b31-8bc2-4a55-b183-5e7f9a690c8c", "image_1": "Perception/paired/c9da1b31-8bc2-4a55-b183-5e7f9a690c8c_0.png", "image_2": "Perception/paired/c9da1b31-8bc2-4a55-b183-5e7f9a690c8c_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.dead pixel\nB.image compression\nC.image stretching\nD.missing tiles", "answer": "A"}
{"id": "71ba804d-5075-4e49-948a-6e56310d9a05", "image_1": "Perception/paired/71ba804d-5075-4e49-948a-6e56310d9a05_0.png", "image_2": "Perception/paired/71ba804d-5075-4e49-948a-6e56310d9a05_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.missing tiles\nB.image stretching\nC.blur\nD.dead pixel", "answer": "D"}
{"id": "575e2911-a853-45e7-b6b0-474b154babd2", "image_1": "Perception/paired/575e2911-a853-45e7-b6b0-474b154babd2_0.png", "image_2": "Perception/paired/575e2911-a853-45e7-b6b0-474b154babd2_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.haze\nB.missing tiles\nC.cloud\nD.dead pixel", "answer": "D"}
{"id": "f76596c8-fe0a-451e-9a2f-571cf80f6942", "image_1": "Perception/paired/f76596c8-fe0a-451e-9a2f-571cf80f6942_0.png", "image_2": "Perception/paired/f76596c8-fe0a-451e-9a2f-571cf80f6942_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.dead pixel\nB.haze\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "2081e434-2fbb-4b60-8952-634d34e84f05", "image_1": "Perception/paired/2081e434-2fbb-4b60-8952-634d34e84f05_0.png", "image_2": "Perception/paired/2081e434-2fbb-4b60-8952-634d34e84f05_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.dead pixel\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "bd6d703b-e6e4-4bfe-839d-f694dc5a51c9", "image_1": "Perception/paired/bd6d703b-e6e4-4bfe-839d-f694dc5a51c9_0.png", "image_2": "Perception/paired/bd6d703b-e6e4-4bfe-839d-f694dc5a51c9_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image compression\nC.color distortion\nD.blur", "answer": "A"}
{"id": "ad019721-dfc5-479f-95db-1f2b14898e5c", "image_1": "Perception/paired/ad019721-dfc5-479f-95db-1f2b14898e5c_0.png", "image_2": "Perception/paired/ad019721-dfc5-479f-95db-1f2b14898e5c_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.dead pixel\nC.No distortion\nD.noise", "answer": "B"}
{"id": "5e2c944e-a7cd-4407-be72-9f914dcd6b2f", "image_1": "Perception/paired/5e2c944e-a7cd-4407-be72-9f914dcd6b2f_0.png", "image_2": "Perception/paired/5e2c944e-a7cd-4407-be72-9f914dcd6b2f_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.dead pixel\nB.blur\nC.noise\nD.No distortion", "answer": "A"}
{"id": "dae74ffd-c536-45ee-8289-8f3b940bd4f4", "image_1": "Perception/paired/dae74ffd-c536-45ee-8289-8f3b940bd4f4_0.png", "image_2": "Perception/paired/dae74ffd-c536-45ee-8289-8f3b940bd4f4_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image stretching\nC.missing tiles\nD.dead pixel", "answer": "D"}
{"id": "403f200a-a914-42a1-a2f6-85e4a865e42a", "image_1": "Perception/paired/403f200a-a914-42a1-a2f6-85e4a865e42a_0.png", "image_2": "Perception/paired/403f200a-a914-42a1-a2f6-85e4a865e42a_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.cloud\nB.No distortion\nC.dead pixel\nD.blur", "answer": "C"}
{"id": "2719adce-120c-4a4c-811f-4d589b549ecb", "image_1": "Perception/paired/2719adce-120c-4a4c-811f-4d589b549ecb_0.png", "image_2": "Perception/paired/2719adce-120c-4a4c-811f-4d589b549ecb_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.noise\nC.dead pixel\nD.color distortion", "answer": "C"}
{"id": "e6164fef-c8c7-4482-a0db-12c6e83dada9", "image_1": "Perception/paired/e6164fef-c8c7-4482-a0db-12c6e83dada9_0.png", "image_2": "Perception/paired/e6164fef-c8c7-4482-a0db-12c6e83dada9_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.dead pixel\nB.No distortion\nC.missing tiles\nD.haze", "answer": "A"}
{"id": "491cc7b4-45ef-441f-b319-a6e385c6f7b6", "image_1": "Perception/paired/491cc7b4-45ef-441f-b319-a6e385c6f7b6_0.png", "image_2": "Perception/paired/491cc7b4-45ef-441f-b319-a6e385c6f7b6_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.dead pixel\nC.image compression\nD.image stretching", "answer": "A"}
{"id": "9b11fead-0ac2-431f-a3d5-85b956ebd498", "image_1": "Perception/paired/9b11fead-0ac2-431f-a3d5-85b956ebd498_0.png", "image_2": "Perception/paired/9b11fead-0ac2-431f-a3d5-85b956ebd498_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.dead pixel\nB.haze\nC.noise\nD.cloud", "answer": "A"}
{"id": "2d57aaf5-d6ef-44cf-80fb-b1dd88b1d01e", "image_1": "Perception/paired/2d57aaf5-d6ef-44cf-80fb-b1dd88b1d01e_0.png", "image_2": "Perception/paired/2d57aaf5-d6ef-44cf-80fb-b1dd88b1d01e_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.haze\nB.No distortion\nC.dead pixel\nD.cloud", "answer": "C"}
{"id": "ded67706-0bd6-437e-a875-50376669c7f0", "image_1": "Perception/paired/ded67706-0bd6-437e-a875-50376669c7f0_0.png", "image_2": "Perception/paired/ded67706-0bd6-437e-a875-50376669c7f0_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.blur\nB.No distortion\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "7765cc2c-ad06-487c-ba0c-fe093990061e", "image_1": "Perception/paired/7765cc2c-ad06-487c-ba0c-fe093990061e_0.png", "image_2": "Perception/paired/7765cc2c-ad06-487c-ba0c-fe093990061e_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.haze\nC.dead pixel\nD.No distortion", "answer": "C"}
{"id": "75766323-6f80-4cd2-9e5d-ce7852e3d3c9", "image_1": "Perception/paired/75766323-6f80-4cd2-9e5d-ce7852e3d3c9_0.png", "image_2": "Perception/paired/75766323-6f80-4cd2-9e5d-ce7852e3d3c9_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.cloud\nB.dead pixel\nC.noise\nD.image stretching", "answer": "B"}
{"id": "01bb6762-4b76-4d02-99ac-322335317f4b", "image_1": "Perception/paired/01bb6762-4b76-4d02-99ac-322335317f4b_0.png", "image_2": "Perception/paired/01bb6762-4b76-4d02-99ac-322335317f4b_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.cloud\nC.No distortion\nD.dead pixel", "answer": "D"}
{"id": "987a2d4d-894e-4e96-b673-cb914e3d2627", "image_1": "Perception/paired/987a2d4d-894e-4e96-b673-cb914e3d2627_0.png", "image_2": "Perception/paired/987a2d4d-894e-4e96-b673-cb914e3d2627_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.haze\nC.dead pixel\nD.color distortion", "answer": "C"}
{"id": "9a8a9eab-2403-4fc1-906e-ea091136981a", "image_1": "Perception/paired/9a8a9eab-2403-4fc1-906e-ea091136981a_0.png", "image_2": "Perception/paired/9a8a9eab-2403-4fc1-906e-ea091136981a_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.dead pixel\nB.No distortion\nC.haze\nD.cloud", "answer": "A"}
{"id": "459b1051-b144-4f3c-b401-92e9cf6aa32e", "image_1": "Perception/paired/459b1051-b144-4f3c-b401-92e9cf6aa32e_0.png", "image_2": "Perception/paired/459b1051-b144-4f3c-b401-92e9cf6aa32e_1.png", "question": "Identify the main distortion introduced between the two images.\nA.missing tiles\nB.color distortion\nC.dead pixel\nD.cloud", "answer": "C"}
{"id": "efcf756a-907b-4c09-af9e-8b310b932ff9", "image_1": "Perception/paired/efcf756a-907b-4c09-af9e-8b310b932ff9_0.png", "image_2": "Perception/paired/efcf756a-907b-4c09-af9e-8b310b932ff9_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.dead pixel\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "6a36e6dc-638f-4766-8a3e-2559760163b5", "image_1": "Perception/paired/6a36e6dc-638f-4766-8a3e-2559760163b5_0.png", "image_2": "Perception/paired/6a36e6dc-638f-4766-8a3e-2559760163b5_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "fcdc71d6-a847-4ae1-8c3f-7b7516a929f7", "image_1": "Perception/paired/fcdc71d6-a847-4ae1-8c3f-7b7516a929f7_0.png", "image_2": "Perception/paired/fcdc71d6-a847-4ae1-8c3f-7b7516a929f7_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.blur\nC.dead pixel\nD.image compression", "answer": "C"}
{"id": "ae24bd79-67a1-4f6b-aba0-24db6e0ecaa9", "image_1": "Perception/paired/ae24bd79-67a1-4f6b-aba0-24db6e0ecaa9_0.png", "image_2": "Perception/paired/ae24bd79-67a1-4f6b-aba0-24db6e0ecaa9_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.blur\nB.color distortion\nC.dead pixel\nD.haze", "answer": "C"}
{"id": "d8458727-5d4b-4c5a-afc7-abbafff200a8", "image_1": "Perception/paired/d8458727-5d4b-4c5a-afc7-abbafff200a8_0.png", "image_2": "Perception/paired/d8458727-5d4b-4c5a-afc7-abbafff200a8_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.dead pixel\nC.haze\nD.blur", "answer": "B"}
{"id": "08132428-7dc3-411a-910a-701bf86cfebb", "image_1": "Perception/paired/08132428-7dc3-411a-910a-701bf86cfebb_0.png", "image_2": "Perception/paired/08132428-7dc3-411a-910a-701bf86cfebb_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.haze", "answer": "C"}
{"id": "9a30927f-c415-4034-9e06-b473ebed543e", "image_1": "Perception/paired/9a30927f-c415-4034-9e06-b473ebed543e_0.png", "image_2": "Perception/paired/9a30927f-c415-4034-9e06-b473ebed543e_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.color distortion\nB.blur\nC.dead pixel\nD.No distortion", "answer": "C"}
{"id": "cc2597b5-4674-4363-a831-5c80715341e9", "image_1": "Perception/paired/cc2597b5-4674-4363-a831-5c80715341e9_0.png", "image_2": "Perception/paired/cc2597b5-4674-4363-a831-5c80715341e9_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "f6acc0b2-fd63-4a0f-9c39-a89ac1435b21", "image_1": "Perception/paired/f6acc0b2-fd63-4a0f-9c39-a89ac1435b21_0.png", "image_2": "Perception/paired/f6acc0b2-fd63-4a0f-9c39-a89ac1435b21_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.dead pixel\nC.blur\nD.noise", "answer": "B"}
{"id": "3df10fbc-5af0-43b9-a499-b597bcd77a78", "image_1": "Perception/paired/3df10fbc-5af0-43b9-a499-b597bcd77a78_0.png", "image_2": "Perception/paired/3df10fbc-5af0-43b9-a499-b597bcd77a78_1.png", "question": "Identify the main distortion introduced between the two images.\nA.cloud\nB.blur\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "1f3a3f0b-923f-4dd5-9a14-adaace370495", "image_1": "Perception/paired/1f3a3f0b-923f-4dd5-9a14-adaace370495_0.png", "image_2": "Perception/paired/1f3a3f0b-923f-4dd5-9a14-adaace370495_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.haze", "answer": "C"}
{"id": "9c975c3b-fca9-4ad8-be93-0d3e306a91d7", "image_1": "Perception/paired/9c975c3b-fca9-4ad8-be93-0d3e306a91d7_0.png", "image_2": "Perception/paired/9c975c3b-fca9-4ad8-be93-0d3e306a91d7_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.cloud\nB.blur\nC.image stretching\nD.dead pixel", "answer": "D"}
{"id": "187b2c21-469c-4a5e-8968-a484838ef5a7", "image_1": "Perception/paired/187b2c21-469c-4a5e-8968-a484838ef5a7_0.png", "image_2": "Perception/paired/187b2c21-469c-4a5e-8968-a484838ef5a7_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.missing tiles\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "C"}
{"id": "11bf7bae-5c48-4e48-9203-ae4f85ba9bc8", "image_1": "Perception/paired/11bf7bae-5c48-4e48-9203-ae4f85ba9bc8_0.png", "image_2": "Perception/paired/11bf7bae-5c48-4e48-9203-ae4f85ba9bc8_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.dead pixel\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "0c2131ef-5726-4968-a06b-f4f7586a6466", "image_1": "Perception/paired/0c2131ef-5726-4968-a06b-f4f7586a6466_0.png", "image_2": "Perception/paired/0c2131ef-5726-4968-a06b-f4f7586a6466_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.blur\nB.dead pixel\nC.image stretching\nD.No distortion", "answer": "B"}
{"id": "dc61be07-65d7-46bb-8004-b9dc8c39a4fd", "image_1": "Perception/paired/dc61be07-65d7-46bb-8004-b9dc8c39a4fd_0.png", "image_2": "Perception/paired/dc61be07-65d7-46bb-8004-b9dc8c39a4fd_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.dead pixel\nB.cloud\nC.missing tiles\nD.color distortion", "answer": "A"}
{"id": "8d254227-db8c-4b52-ab77-ac221e94f191", "image_1": "Perception/paired/8d254227-db8c-4b52-ab77-ac221e94f191_0.png", "image_2": "Perception/paired/8d254227-db8c-4b52-ab77-ac221e94f191_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.color distortion\nC.dead pixel\nD.noise", "answer": "C"}
{"id": "5c9987d7-51fa-4d5c-8f83-522e9af4fdee", "image_1": "Perception/paired/5c9987d7-51fa-4d5c-8f83-522e9af4fdee_0.png", "image_2": "Perception/paired/5c9987d7-51fa-4d5c-8f83-522e9af4fdee_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.No distortion\nB.color distortion\nC.missing tiles\nD.dead pixel", "answer": "D"}
{"id": "c3f1945e-03ae-4229-83ea-eeaf540b204f", "image_1": "Perception/paired/c3f1945e-03ae-4229-83ea-eeaf540b204f_0.png", "image_2": "Perception/paired/c3f1945e-03ae-4229-83ea-eeaf540b204f_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.missing tiles\nB.image stretching\nC.dead pixel\nD.haze", "answer": "C"}
{"id": "a180f40c-3216-415b-9a1a-340e4da3db90", "image_1": "Perception/paired/a180f40c-3216-415b-9a1a-340e4da3db90_0.png", "image_2": "Perception/paired/a180f40c-3216-415b-9a1a-340e4da3db90_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.dead pixel\nB.No distortion\nC.cloud\nD.blur", "answer": "A"}
{"id": "8dc4b263-5b25-4db0-9f96-934e489b1c8e", "image_1": "Perception/paired/8dc4b263-5b25-4db0-9f96-934e489b1c8e_0.png", "image_2": "Perception/paired/8dc4b263-5b25-4db0-9f96-934e489b1c8e_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.noise\nB.dead pixel\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "62106e33-5631-4cf3-bb32-cdbde53f178b", "image_1": "Perception/paired/62106e33-5631-4cf3-bb32-cdbde53f178b_0.png", "image_2": "Perception/paired/62106e33-5631-4cf3-bb32-cdbde53f178b_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.cloud\nB.blur\nC.dead pixel\nD.No distortion", "answer": "C"}
{"id": "e38e5ebb-85cb-4718-bab6-dd0b5c7d44c1", "image_1": "Perception/paired/e38e5ebb-85cb-4718-bab6-dd0b5c7d44c1_0.png", "image_2": "Perception/paired/e38e5ebb-85cb-4718-bab6-dd0b5c7d44c1_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.blur\nC.color distortion\nD.dead pixel", "answer": "D"}
{"id": "c14bf031-21c0-42f9-8c72-5be212562036", "image_1": "Perception/paired/c14bf031-21c0-42f9-8c72-5be212562036_0.png", "image_2": "Perception/paired/c14bf031-21c0-42f9-8c72-5be212562036_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.blur\nB.dead pixel\nC.No distortion\nD.color distortion", "answer": "B"}
{"id": "61e46206-1820-472c-a90a-76b98043a265", "image_1": "Perception/paired/61e46206-1820-472c-a90a-76b98043a265_0.png", "image_2": "Perception/paired/61e46206-1820-472c-a90a-76b98043a265_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image stretching\nB.dead pixel\nC.color distortion\nD.haze", "answer": "B"}
{"id": "eb6705cd-3c1f-4218-83ae-33f683e0dee7", "image_1": "Perception/paired/eb6705cd-3c1f-4218-83ae-33f683e0dee7_0.png", "image_2": "Perception/paired/eb6705cd-3c1f-4218-83ae-33f683e0dee7_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.image compression\nB.color distortion\nC.image stretching\nD.dead pixel", "answer": "D"}
{"id": "84698261-1c09-40ea-98df-63fdc9d97e3e", "image_1": "Perception/paired/84698261-1c09-40ea-98df-63fdc9d97e3e_0.png", "image_2": "Perception/paired/84698261-1c09-40ea-98df-63fdc9d97e3e_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.noise\nB.cloud\nC.image compression\nD.dead pixel", "answer": "D"}
{"id": "b3f84079-56d4-4ddb-b5d6-204088e2181d", "image_1": "Perception/paired/b3f84079-56d4-4ddb-b5d6-204088e2181d_0.png", "image_2": "Perception/paired/b3f84079-56d4-4ddb-b5d6-204088e2181d_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.No distortion\nB.missing tiles\nC.dead pixel\nD.image stretching", "answer": "C"}
{"id": "56d653c3-0b7d-4744-bafe-5dcd1df6c118", "image_1": "Perception/paired/56d653c3-0b7d-4744-bafe-5dcd1df6c118_0.png", "image_2": "Perception/paired/56d653c3-0b7d-4744-bafe-5dcd1df6c118_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.dead pixel\nB.blur\nC.color distortion\nD.noise", "answer": "A"}
{"id": "85411490-3700-4d2e-b099-2eaf92926d92", "image_1": "Perception/paired/85411490-3700-4d2e-b099-2eaf92926d92_0.png", "image_2": "Perception/paired/85411490-3700-4d2e-b099-2eaf92926d92_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.dead pixel\nB.haze\nC.noise\nD.blur", "answer": "A"}
{"id": "d9a9449d-9533-44c7-8df1-77260fc6ba48", "image_1": "Perception/paired/d9a9449d-9533-44c7-8df1-77260fc6ba48_0.png", "image_2": "Perception/paired/d9a9449d-9533-44c7-8df1-77260fc6ba48_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.cloud\nC.missing tiles\nD.image stretching", "answer": "C"}
{"id": "8ba65c79-c813-4fec-ab81-3cae6aab81b3", "image_1": "Perception/paired/8ba65c79-c813-4fec-ab81-3cae6aab81b3_0.png", "image_2": "Perception/paired/8ba65c79-c813-4fec-ab81-3cae6aab81b3_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.image stretching\nC.dead pixel\nD.missing tiles", "answer": "D"}
{"id": "af9ee273-1097-471c-9bd3-35a69db8c45e", "image_1": "Perception/paired/af9ee273-1097-471c-9bd3-35a69db8c45e_0.png", "image_2": "Perception/paired/af9ee273-1097-471c-9bd3-35a69db8c45e_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.image stretching\nC.No distortion\nD.haze", "answer": "C"}
{"id": "13b65c8d-6ab9-44fd-b214-8e253e90b9a6", "image_1": "Perception/paired/13b65c8d-6ab9-44fd-b214-8e253e90b9a6_0.png", "image_2": "Perception/paired/13b65c8d-6ab9-44fd-b214-8e253e90b9a6_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.image compression\nC.image stretching\nD.haze", "answer": "A"}
{"id": "a14ec083-a2e4-4bc6-bca5-3ff96e170c61", "image_1": "Perception/paired/a14ec083-a2e4-4bc6-bca5-3ff96e170c61_0.png", "image_2": "Perception/paired/a14ec083-a2e4-4bc6-bca5-3ff96e170c61_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.image stretching\nC.blur\nD.missing tiles", "answer": "D"}
{"id": "0e2bd8d5-810a-4cef-a5d7-fb2c408942d1", "image_1": "Perception/paired/0e2bd8d5-810a-4cef-a5d7-fb2c408942d1_0.png", "image_2": "Perception/paired/0e2bd8d5-810a-4cef-a5d7-fb2c408942d1_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.color distortion\nB.haze\nC.cloud\nD.missing tiles", "answer": "D"}
{"id": "77d7910a-8ccc-49ee-bc97-3990064aaad1", "image_1": "Perception/paired/77d7910a-8ccc-49ee-bc97-3990064aaad1_0.png", "image_2": "Perception/paired/77d7910a-8ccc-49ee-bc97-3990064aaad1_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.color distortion\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "3a70d89b-bfd4-45c3-a4c2-c8033f5590a1", "image_1": "Perception/paired/3a70d89b-bfd4-45c3-a4c2-c8033f5590a1_0.png", "image_2": "Perception/paired/3a70d89b-bfd4-45c3-a4c2-c8033f5590a1_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "1883f29e-3792-48e9-8857-4a3d6b1c9aa9", "image_1": "Perception/paired/1883f29e-3792-48e9-8857-4a3d6b1c9aa9_0.png", "image_2": "Perception/paired/1883f29e-3792-48e9-8857-4a3d6b1c9aa9_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image compression\nC.color distortion\nD.blur", "answer": "A"}
{"id": "faa23c3b-fe86-4e60-a100-4d296c819aca", "image_1": "Perception/paired/faa23c3b-fe86-4e60-a100-4d296c819aca_0.png", "image_2": "Perception/paired/faa23c3b-fe86-4e60-a100-4d296c819aca_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.missing tiles\nC.No distortion\nD.noise", "answer": "B"}
{"id": "1e75bf67-b39a-4901-91f9-3ee8ded9f3d8", "image_1": "Perception/paired/1e75bf67-b39a-4901-91f9-3ee8ded9f3d8_0.png", "image_2": "Perception/paired/1e75bf67-b39a-4901-91f9-3ee8ded9f3d8_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.blur\nC.noise\nD.No distortion", "answer": "A"}
{"id": "904a70d7-cfbc-48d7-95e1-1dc2f19083b2", "image_1": "Perception/paired/904a70d7-cfbc-48d7-95e1-1dc2f19083b2_0.png", "image_2": "Perception/paired/904a70d7-cfbc-48d7-95e1-1dc2f19083b2_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image stretching\nC.haze\nD.missing tiles", "answer": "D"}
{"id": "6f64d8d9-6cb6-4072-8531-514533f8cf26", "image_1": "Perception/paired/6f64d8d9-6cb6-4072-8531-514533f8cf26_0.png", "image_2": "Perception/paired/6f64d8d9-6cb6-4072-8531-514533f8cf26_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.cloud\nB.No distortion\nC.missing tiles\nD.blur", "answer": "C"}
{"id": "a111bae4-0745-4e32-ab95-b93d59b38984", "image_1": "Perception/paired/a111bae4-0745-4e32-ab95-b93d59b38984_0.png", "image_2": "Perception/paired/a111bae4-0745-4e32-ab95-b93d59b38984_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.noise\nC.missing tiles\nD.dead pixel", "answer": "C"}
{"id": "9ced6695-b43d-4db8-bdf6-40eb089d6eab", "image_1": "Perception/paired/9ced6695-b43d-4db8-bdf6-40eb089d6eab_0.png", "image_2": "Perception/paired/9ced6695-b43d-4db8-bdf6-40eb089d6eab_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.missing tiles\nB.No distortion\nC.haze\nD.color distortion", "answer": "A"}
{"id": "a7edaa56-dd95-4fbb-a3f5-34049b041b39", "image_1": "Perception/paired/a7edaa56-dd95-4fbb-a3f5-34049b041b39_0.png", "image_2": "Perception/paired/a7edaa56-dd95-4fbb-a3f5-34049b041b39_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.missing tiles\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "A"}
{"id": "23fadb21-f7cf-4f74-b602-28faf95d27a2", "image_1": "Perception/paired/23fadb21-f7cf-4f74-b602-28faf95d27a2_0.png", "image_2": "Perception/paired/23fadb21-f7cf-4f74-b602-28faf95d27a2_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.missing tiles\nB.color distortion\nC.noise\nD.cloud", "answer": "A"}
{"id": "58a11dfd-e804-462b-a1dc-4184a1fb51d5", "image_1": "Perception/paired/58a11dfd-e804-462b-a1dc-4184a1fb51d5_0.png", "image_2": "Perception/paired/58a11dfd-e804-462b-a1dc-4184a1fb51d5_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.color distortion\nB.image compression\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "ad7e7fa2-3321-4a44-b71e-3b0b0eaf1b2b", "image_1": "Perception/paired/ad7e7fa2-3321-4a44-b71e-3b0b0eaf1b2b_0.png", "image_2": "Perception/paired/ad7e7fa2-3321-4a44-b71e-3b0b0eaf1b2b_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image compression\nB.missing tiles\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "13faca0a-3a71-44eb-a513-19cc6657824f", "image_1": "Perception/paired/13faca0a-3a71-44eb-a513-19cc6657824f_0.png", "image_2": "Perception/paired/13faca0a-3a71-44eb-a513-19cc6657824f_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.color distortion\nC.missing tiles\nD.No distortion", "answer": "C"}
{"id": "a60e7ccc-7b23-4029-8248-9baa888fd8c3", "image_1": "Perception/paired/a60e7ccc-7b23-4029-8248-9baa888fd8c3_0.png", "image_2": "Perception/paired/a60e7ccc-7b23-4029-8248-9baa888fd8c3_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.cloud\nB.missing tiles\nC.noise\nD.image stretching", "answer": "B"}
{"id": "0efffbc0-4c2f-428c-9eb6-4c75c5b73c4d", "image_1": "Perception/paired/0efffbc0-4c2f-428c-9eb6-4c75c5b73c4d_0.png", "image_2": "Perception/paired/0efffbc0-4c2f-428c-9eb6-4c75c5b73c4d_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.cloud\nC.No distortion\nD.missing tiles", "answer": "D"}
{"id": "b585c27b-e49e-409c-b4fb-534b3aa31ea3", "image_1": "Perception/paired/b585c27b-e49e-409c-b4fb-534b3aa31ea3_0.png", "image_2": "Perception/paired/b585c27b-e49e-409c-b4fb-534b3aa31ea3_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.color distortion\nC.missing tiles\nD.dead pixel", "answer": "C"}
{"id": "a37c2ae2-307b-43c3-9b27-f727e2bf0ba2", "image_1": "Perception/paired/a37c2ae2-307b-43c3-9b27-f727e2bf0ba2_0.png", "image_2": "Perception/paired/a37c2ae2-307b-43c3-9b27-f727e2bf0ba2_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.No distortion\nC.color distortion\nD.cloud", "answer": "A"}
{"id": "84f79af3-c166-416b-bd1c-a870ad4fce18", "image_1": "Perception/paired/84f79af3-c166-416b-bd1c-a870ad4fce18_0.png", "image_2": "Perception/paired/84f79af3-c166-416b-bd1c-a870ad4fce18_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.missing tiles\nD.cloud", "answer": "C"}
{"id": "4c43edf6-cdfc-4390-b2b7-9608893628fb", "image_1": "Perception/paired/4c43edf6-cdfc-4390-b2b7-9608893628fb_0.png", "image_2": "Perception/paired/4c43edf6-cdfc-4390-b2b7-9608893628fb_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.missing tiles\nC.haze\nD.No distortion", "answer": "B"}
{"id": "94598162-2fe4-459a-aaab-86737792438c", "image_1": "Perception/paired/94598162-2fe4-459a-aaab-86737792438c_0.png", "image_2": "Perception/paired/94598162-2fe4-459a-aaab-86737792438c_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.No distortion\nC.noise\nD.missing tiles", "answer": "D"}
{"id": "87f52de1-faf4-440e-a67e-53784dad41ce", "image_1": "Perception/paired/87f52de1-faf4-440e-a67e-53784dad41ce_0.png", "image_2": "Perception/paired/87f52de1-faf4-440e-a67e-53784dad41ce_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.blur\nC.missing tiles\nD.image compression", "answer": "C"}
{"id": "afa26086-aef9-4428-9a81-5657e73c521d", "image_1": "Perception/paired/afa26086-aef9-4428-9a81-5657e73c521d_0.png", "image_2": "Perception/paired/afa26086-aef9-4428-9a81-5657e73c521d_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.blur\nB.dead pixel\nC.missing tiles\nD.color distortion", "answer": "C"}
{"id": "9ed5cead-7d24-45c2-abcc-a3a9c2b7ac47", "image_1": "Perception/paired/9ed5cead-7d24-45c2-abcc-a3a9c2b7ac47_0.png", "image_2": "Perception/paired/9ed5cead-7d24-45c2-abcc-a3a9c2b7ac47_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.missing tiles\nC.color distortion\nD.blur", "answer": "B"}
{"id": "a79e2e1f-5918-4fe5-9ee3-3abaf5d916aa", "image_1": "Perception/paired/a79e2e1f-5918-4fe5-9ee3-3abaf5d916aa_0.png", "image_2": "Perception/paired/a79e2e1f-5918-4fe5-9ee3-3abaf5d916aa_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.haze\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "3b9c13bc-5469-40e1-9cc8-85c6b10b3538", "image_1": "Perception/paired/3b9c13bc-5469-40e1-9cc8-85c6b10b3538_0.png", "image_2": "Perception/paired/3b9c13bc-5469-40e1-9cc8-85c6b10b3538_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.cloud\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "436160a3-4cd6-4fb5-aa51-0a71c4d40e79", "image_1": "Perception/paired/436160a3-4cd6-4fb5-aa51-0a71c4d40e79_0.png", "image_2": "Perception/paired/436160a3-4cd6-4fb5-aa51-0a71c4d40e79_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.blur\nB.No distortion\nC.noise\nD.missing tiles", "answer": "D"}
{"id": "c67dfe57-0f09-4642-9900-73bb8a01f72a", "image_1": "Perception/paired/c67dfe57-0f09-4642-9900-73bb8a01f72a_0.png", "image_2": "Perception/paired/c67dfe57-0f09-4642-9900-73bb8a01f72a_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.missing tiles\nC.blur\nD.noise", "answer": "B"}
{"id": "89f47ad4-ed2f-47ad-a4da-4857de824777", "image_1": "Perception/paired/89f47ad4-ed2f-47ad-a4da-4857de824777_0.png", "image_2": "Perception/paired/89f47ad4-ed2f-47ad-a4da-4857de824777_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.image compression\nC.image stretching\nD.missing tiles", "answer": "D"}
{"id": "a7da4fe1-a553-4bf3-9b75-2ff8444f51b0", "image_1": "Perception/paired/a7da4fe1-a553-4bf3-9b75-2ff8444f51b0_0.png", "image_2": "Perception/paired/a7da4fe1-a553-4bf3-9b75-2ff8444f51b0_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.color distortion\nC.missing tiles\nD.haze", "answer": "C"}
{"id": "f7e3c0e4-598b-440a-9d32-c13b7f3e8b56", "image_1": "Perception/paired/f7e3c0e4-598b-440a-9d32-c13b7f3e8b56_0.png", "image_2": "Perception/paired/f7e3c0e4-598b-440a-9d32-c13b7f3e8b56_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.cloud\nB.blur\nC.image stretching\nD.missing tiles", "answer": "D"}
{"id": "5489957c-85bd-4f6b-8a9d-1821e24bd085", "image_1": "Perception/paired/5489957c-85bd-4f6b-8a9d-1821e24bd085_0.png", "image_2": "Perception/paired/5489957c-85bd-4f6b-8a9d-1821e24bd085_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.cloud\nB.dead pixel\nC.missing tiles\nD.image stretching", "answer": "C"}
{"id": "94ac5fca-4968-42ad-b23c-a7ee6a968d5b", "image_1": "Perception/paired/94ac5fca-4968-42ad-b23c-a7ee6a968d5b_0.png", "image_2": "Perception/paired/94ac5fca-4968-42ad-b23c-a7ee6a968d5b_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.missing tiles\nC.haze\nD.No distortion", "answer": "B"}
{"id": "d0b9802f-0e85-4687-9460-ffe4b673871f", "image_1": "Perception/paired/d0b9802f-0e85-4687-9460-ffe4b673871f_0.png", "image_2": "Perception/paired/d0b9802f-0e85-4687-9460-ffe4b673871f_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.blur\nB.missing tiles\nC.image stretching\nD.No distortion", "answer": "B"}
{"id": "62cc9e5e-4e6a-4d6b-a206-1601240be341", "image_1": "Perception/paired/62cc9e5e-4e6a-4d6b-a206-1601240be341_0.png", "image_2": "Perception/paired/62cc9e5e-4e6a-4d6b-a206-1601240be341_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.haze\nB.missing tiles\nC.No distortion\nD.dead pixel", "answer": "B"}
{"id": "dc5de3ed-f6b4-4ec6-b883-6b805a88ed11", "image_1": "Perception/paired/dc5de3ed-f6b4-4ec6-b883-6b805a88ed11_0.png", "image_2": "Perception/paired/dc5de3ed-f6b4-4ec6-b883-6b805a88ed11_1.png", "question": "Identify the main distortion introduced between the two images.\nA.missing tiles\nB.haze\nC.No distortion\nD.noise", "answer": "A"}
{"id": "df17a337-79fb-4c4d-9a8b-e2efff23534a", "image_1": "Perception/paired/df17a337-79fb-4c4d-9a8b-e2efff23534a_0.png", "image_2": "Perception/paired/df17a337-79fb-4c4d-9a8b-e2efff23534a_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.image compression\nB.blur\nC.missing tiles\nD.haze", "answer": "C"}
{"id": "bdb9f288-9aae-4d60-b7e8-919dbc1bd732", "image_1": "Perception/paired/bdb9f288-9aae-4d60-b7e8-919dbc1bd732_0.png", "image_2": "Perception/paired/bdb9f288-9aae-4d60-b7e8-919dbc1bd732_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.No distortion\nB.dead pixel\nC.missing tiles\nD.cloud", "answer": "C"}
{"id": "31abc33c-d7e8-4ef5-88df-725ab64cb8d4", "image_1": "Perception/paired/31abc33c-d7e8-4ef5-88df-725ab64cb8d4_0.png", "image_2": "Perception/paired/31abc33c-d7e8-4ef5-88df-725ab64cb8d4_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.haze\nB.noise\nC.image stretching\nD.missing tiles", "answer": "D"}
{"id": "4b059570-abb7-4c57-af70-22a3720ab5ec", "image_1": "Perception/paired/4b059570-abb7-4c57-af70-22a3720ab5ec_0.png", "image_2": "Perception/paired/4b059570-abb7-4c57-af70-22a3720ab5ec_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.missing tiles\nC.noise\nD.cloud", "answer": "B"}
{"id": "37d9a502-59ab-4c5d-9369-4fb3f63e366a", "image_1": "Perception/paired/37d9a502-59ab-4c5d-9369-4fb3f63e366a_0.png", "image_2": "Perception/paired/37d9a502-59ab-4c5d-9369-4fb3f63e366a_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image stretching\nC.haze\nD.missing tiles", "answer": "D"}
{"id": "73080a27-f841-4e2d-9e88-746fb773578e", "image_1": "Perception/paired/73080a27-f841-4e2d-9e88-746fb773578e_0.png", "image_2": "Perception/paired/73080a27-f841-4e2d-9e88-746fb773578e_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.missing tiles\nB.image compression\nC.No distortion\nD.image stretching", "answer": "A"}
{"id": "55b7870a-d1dc-4161-8a53-1da5d79f9ec6", "image_1": "Perception/paired/55b7870a-d1dc-4161-8a53-1da5d79f9ec6_0.png", "image_2": "Perception/paired/55b7870a-d1dc-4161-8a53-1da5d79f9ec6_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.image stretching\nB.missing tiles\nC.No distortion\nD.color distortion", "answer": "B"}
{"id": "571886b0-6597-4703-ba96-4a1f76a57151", "image_1": "Perception/paired/571886b0-6597-4703-ba96-4a1f76a57151_0.png", "image_2": "Perception/paired/571886b0-6597-4703-ba96-4a1f76a57151_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.dead pixel\nB.color distortion\nC.missing tiles\nD.image stretching", "answer": "C"}
{"id": "eabc3e0e-17d1-499f-b1e7-e85661a9ae37", "image_1": "Perception/paired/eabc3e0e-17d1-499f-b1e7-e85661a9ae37_0.png", "image_2": "Perception/paired/eabc3e0e-17d1-499f-b1e7-e85661a9ae37_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.haze\nB.image stretching\nC.missing tiles\nD.No distortion", "answer": "C"}
{"id": "4b003a12-2b26-4bc0-b508-7f382a8ff9e2", "image_1": "Perception/paired/4b003a12-2b26-4bc0-b508-7f382a8ff9e2_0.png", "image_2": "Perception/paired/4b003a12-2b26-4bc0-b508-7f382a8ff9e2_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.cloud\nB.blur\nC.dead pixel\nD.missing tiles", "answer": "D"}
{"id": "fb0fe3b4-ae62-4aa0-91e8-4f858b469f35", "image_1": "Perception/paired/fb0fe3b4-ae62-4aa0-91e8-4f858b469f35_0.png", "image_2": "Perception/paired/fb0fe3b4-ae62-4aa0-91e8-4f858b469f35_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.noise\nB.blur\nC.No distortion\nD.missing tiles", "answer": "D"}
{"id": "decbbe47-8036-4279-9167-2ab2e1455562", "image_1": "Perception/paired/decbbe47-8036-4279-9167-2ab2e1455562_0.png", "image_2": "Perception/paired/decbbe47-8036-4279-9167-2ab2e1455562_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.missing tiles\nB.image compression\nC.No distortion\nD.color distortion", "answer": "A"}
{"id": "9937b847-145e-492c-b739-d372b5923283", "image_1": "Perception/paired/9937b847-145e-492c-b739-d372b5923283_0.png", "image_2": "Perception/paired/9937b847-145e-492c-b739-d372b5923283_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.noise\nB.cloud\nC.missing tiles\nD.No distortion", "answer": "C"}
{"id": "0678fb60-0550-46c4-a621-e5bb0e2f73ee", "image_1": "Perception/paired/0678fb60-0550-46c4-a621-e5bb0e2f73ee_0.png", "image_2": "Perception/paired/0678fb60-0550-46c4-a621-e5bb0e2f73ee_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.cloud\nC.noise\nD.image stretching", "answer": "C"}
{"id": "1fc116e1-1385-4f0a-b268-0e3de8662813", "image_1": "Perception/paired/1fc116e1-1385-4f0a-b268-0e3de8662813_0.png", "image_2": "Perception/paired/1fc116e1-1385-4f0a-b268-0e3de8662813_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.haze\nB.image stretching\nC.color distortion\nD.noise", "answer": "D"}
{"id": "f6ea3e41-4d14-4a15-b037-4326ff28347f", "image_1": "Perception/paired/f6ea3e41-4d14-4a15-b037-4326ff28347f_0.png", "image_2": "Perception/paired/f6ea3e41-4d14-4a15-b037-4326ff28347f_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.blur\nB.image stretching\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "4a7ddbfb-a88f-48d5-8781-1b4bbe767776", "image_1": "Perception/paired/4a7ddbfb-a88f-48d5-8781-1b4bbe767776_0.png", "image_2": "Perception/paired/4a7ddbfb-a88f-48d5-8781-1b4bbe767776_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.No distortion\nB.blur\nC.image stretching\nD.haze", "answer": "A"}
{"id": "800bf499-6215-49e0-9b8b-bf8241c98590", "image_1": "Perception/paired/800bf499-6215-49e0-9b8b-bf8241c98590_0.png", "image_2": "Perception/paired/800bf499-6215-49e0-9b8b-bf8241c98590_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.missing tiles\nB.image stretching\nC.blur\nD.noise", "answer": "D"}
{"id": "16c316c6-56b5-49d8-9a2e-f06419daf57d", "image_1": "Perception/paired/16c316c6-56b5-49d8-9a2e-f06419daf57d_0.png", "image_2": "Perception/paired/16c316c6-56b5-49d8-9a2e-f06419daf57d_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.haze\nB.missing tiles\nC.cloud\nD.noise", "answer": "D"}
{"id": "65f63840-ea7d-4e02-82fb-7d3ec1fbf83f", "image_1": "Perception/paired/65f63840-ea7d-4e02-82fb-7d3ec1fbf83f_0.png", "image_2": "Perception/paired/65f63840-ea7d-4e02-82fb-7d3ec1fbf83f_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.noise\nB.haze\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "ee826f2e-96e2-48a1-b88c-ce42db74b59f", "image_1": "Perception/paired/ee826f2e-96e2-48a1-b88c-ce42db74b59f_0.png", "image_2": "Perception/paired/ee826f2e-96e2-48a1-b88c-ce42db74b59f_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "f52f06e5-4b45-4d0a-a9bf-dda67afcef05", "image_1": "Perception/paired/f52f06e5-4b45-4d0a-a9bf-dda67afcef05_0.png", "image_2": "Perception/paired/f52f06e5-4b45-4d0a-a9bf-dda67afcef05_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.noise\nB.No distortion\nC.haze\nD.image compression", "answer": "A"}
{"id": "6726a38c-8b7f-4fd1-937f-1d55871b55fe", "image_1": "Perception/paired/6726a38c-8b7f-4fd1-937f-1d55871b55fe_0.png", "image_2": "Perception/paired/6726a38c-8b7f-4fd1-937f-1d55871b55fe_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.No distortion\nC.image compression\nD.noise", "answer": "B"}
{"id": "81170f9c-729f-4d8d-b3ff-1542d757587d", "image_1": "Perception/paired/81170f9c-729f-4d8d-b3ff-1542d757587d_0.png", "image_2": "Perception/paired/81170f9c-729f-4d8d-b3ff-1542d757587d_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.blur\nC.dead pixel\nD.No distortion", "answer": "A"}
{"id": "23826a76-c170-4ff8-8a7d-df224cf7e023", "image_1": "Perception/paired/23826a76-c170-4ff8-8a7d-df224cf7e023_0.png", "image_2": "Perception/paired/23826a76-c170-4ff8-8a7d-df224cf7e023_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image stretching\nC.missing tiles\nD.noise", "answer": "D"}
{"id": "65bcdb5c-08c7-4032-9e59-d9d7b6b0f412", "image_1": "Perception/paired/65bcdb5c-08c7-4032-9e59-d9d7b6b0f412_0.png", "image_2": "Perception/paired/65bcdb5c-08c7-4032-9e59-d9d7b6b0f412_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.image compression\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "1de16ea0-217b-4015-a330-51c6a0440d9c", "image_1": "Perception/paired/1de16ea0-217b-4015-a330-51c6a0440d9c_0.png", "image_2": "Perception/paired/1de16ea0-217b-4015-a330-51c6a0440d9c_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.dead pixel\nC.noise\nD.color distortion", "answer": "C"}
{"id": "c1d5cda6-4bbe-48a3-825e-7c271e52fcff", "image_1": "Perception/paired/c1d5cda6-4bbe-48a3-825e-7c271e52fcff_0.png", "image_2": "Perception/paired/c1d5cda6-4bbe-48a3-825e-7c271e52fcff_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.No distortion\nB.image compression\nC.haze\nD.color distortion", "answer": "A"}
{"id": "b5b17c3d-0877-4f84-860e-295e8a5875d8", "image_1": "Perception/paired/b5b17c3d-0877-4f84-860e-295e8a5875d8_0.png", "image_2": "Perception/paired/b5b17c3d-0877-4f84-860e-295e8a5875d8_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.dead pixel\nC.image compression\nD.image stretching", "answer": "A"}
{"id": "5ec4df22-9182-4426-b2ab-325c113d3218", "image_1": "Perception/paired/5ec4df22-9182-4426-b2ab-325c113d3218_0.png", "image_2": "Perception/paired/5ec4df22-9182-4426-b2ab-325c113d3218_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "a386f182-3012-40b2-832c-989b810cebf6", "image_1": "Perception/paired/a386f182-3012-40b2-832c-989b810cebf6_0.png", "image_2": "Perception/paired/a386f182-3012-40b2-832c-989b810cebf6_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.haze\nB.No distortion\nC.noise\nD.cloud", "answer": "C"}
{"id": "17839a59-2239-43a1-8db0-79bf3fd5e8fa", "image_1": "Perception/paired/17839a59-2239-43a1-8db0-79bf3fd5e8fa_0.png", "image_2": "Perception/paired/17839a59-2239-43a1-8db0-79bf3fd5e8fa_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image compression\nB.noise\nC.image stretching\nD.color distortion", "answer": "B"}
{"id": "1846e689-f739-4312-8e99-1b332f24ffc9", "image_1": "Perception/paired/1846e689-f739-4312-8e99-1b332f24ffc9_0.png", "image_2": "Perception/paired/1846e689-f739-4312-8e99-1b332f24ffc9_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.haze\nC.noise\nD.No distortion", "answer": "C"}
{"id": "6d8da690-c703-46f3-a7f9-b61846344476", "image_1": "Perception/paired/6d8da690-c703-46f3-a7f9-b61846344476_0.png", "image_2": "Perception/paired/6d8da690-c703-46f3-a7f9-b61846344476_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.cloud\nB.noise\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "b8d90506-6794-4536-929d-3187b9a32d53", "image_1": "Perception/paired/b8d90506-6794-4536-929d-3187b9a32d53_0.png", "image_2": "Perception/paired/b8d90506-6794-4536-929d-3187b9a32d53_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "84d06716-3803-442d-8af5-54d9fae22405", "image_1": "Perception/paired/84d06716-3803-442d-8af5-54d9fae22405_0.png", "image_2": "Perception/paired/84d06716-3803-442d-8af5-54d9fae22405_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.color distortion\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "857fafcb-1c6d-4e1c-a92e-13315a52c8f4", "image_1": "Perception/paired/857fafcb-1c6d-4e1c-a92e-13315a52c8f4_0.png", "image_2": "Perception/paired/857fafcb-1c6d-4e1c-a92e-13315a52c8f4_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.No distortion\nB.image compression\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "6f4046a3-055a-4e36-99de-f6c9ebb20063", "image_1": "Perception/paired/6f4046a3-055a-4e36-99de-f6c9ebb20063_0.png", "image_2": "Perception/paired/6f4046a3-055a-4e36-99de-f6c9ebb20063_1.png", "question": "Identify the main distortion introduced between the two images.\nA.missing tiles\nB.color distortion\nC.noise\nD.cloud", "answer": "C"}
{"id": "ff332244-78c8-4fbd-a697-99f984dd48fc", "image_1": "Perception/paired/ff332244-78c8-4fbd-a697-99f984dd48fc_0.png", "image_2": "Perception/paired/ff332244-78c8-4fbd-a697-99f984dd48fc_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.noise\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "4c86c196-c87b-46d5-926f-f161977e88ce", "image_1": "Perception/paired/4c86c196-c87b-46d5-926f-f161977e88ce_0.png", "image_2": "Perception/paired/4c86c196-c87b-46d5-926f-f161977e88ce_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.No distortion\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "b819773d-2f5b-4c34-9a62-880fc22dfa38", "image_1": "Perception/paired/b819773d-2f5b-4c34-9a62-880fc22dfa38_0.png", "image_2": "Perception/paired/b819773d-2f5b-4c34-9a62-880fc22dfa38_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.cloud\nC.No distortion\nD.blur", "answer": "C"}
{"id": "db567182-0d0d-43bf-80dd-e6b283ca06fb", "image_1": "Perception/paired/db567182-0d0d-43bf-80dd-e6b283ca06fb_0.png", "image_2": "Perception/paired/db567182-0d0d-43bf-80dd-e6b283ca06fb_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.blur\nB.color distortion\nC.noise\nD.haze", "answer": "C"}
{"id": "4c4c4ec1-7b13-49b8-827c-9a05b0a64235", "image_1": "Perception/paired/4c4c4ec1-7b13-49b8-827c-9a05b0a64235_0.png", "image_2": "Perception/paired/4c4c4ec1-7b13-49b8-827c-9a05b0a64235_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.No distortion\nC.color distortion\nD.cloud", "answer": "B"}
{"id": "135bab71-8378-4928-9a31-a55eafc09926", "image_1": "Perception/paired/135bab71-8378-4928-9a31-a55eafc09926_0.png", "image_2": "Perception/paired/135bab71-8378-4928-9a31-a55eafc09926_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.missing tiles\nC.noise\nD.haze", "answer": "C"}
{"id": "352c3d37-7ece-4ed9-a9e9-36754f5f294b", "image_1": "Perception/paired/352c3d37-7ece-4ed9-a9e9-36754f5f294b_0.png", "image_2": "Perception/paired/352c3d37-7ece-4ed9-a9e9-36754f5f294b_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.color distortion\nB.blur\nC.noise\nD.No distortion", "answer": "C"}
{"id": "5b7b5480-0f1d-4951-b46e-1958bd65c465", "image_1": "Perception/paired/5b7b5480-0f1d-4951-b46e-1958bd65c465_0.png", "image_2": "Perception/paired/5b7b5480-0f1d-4951-b46e-1958bd65c465_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "46fabee5-d36b-4d38-a9b1-04ba625ce89e", "image_1": "Perception/paired/46fabee5-d36b-4d38-a9b1-04ba625ce89e_0.png", "image_2": "Perception/paired/46fabee5-d36b-4d38-a9b1-04ba625ce89e_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.blur\nB.No distortion\nC.cloud\nD.noise", "answer": "B"}
{"id": "3832297e-c684-4150-bfb0-b50a14b42d80", "image_1": "Perception/paired/3832297e-c684-4150-bfb0-b50a14b42d80_0.png", "image_2": "Perception/paired/3832297e-c684-4150-bfb0-b50a14b42d80_1.png", "question": "Identify the main distortion introduced between the two images.\nA.cloud\nB.blur\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "78502379-2d08-4b28-9c4d-553d80bc82c0", "image_1": "Perception/paired/78502379-2d08-4b28-9c4d-553d80bc82c0_0.png", "image_2": "Perception/paired/78502379-2d08-4b28-9c4d-553d80bc82c0_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.haze\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "48b64bae-4b8a-4461-9038-35fc10ec2ddf", "image_1": "Perception/paired/48b64bae-4b8a-4461-9038-35fc10ec2ddf_0.png", "image_2": "Perception/paired/48b64bae-4b8a-4461-9038-35fc10ec2ddf_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.cloud\nB.blur\nC.image stretching\nD.noise", "answer": "D"}
{"id": "55c37ff2-9650-41a1-a8b9-f4242372dda8", "image_1": "Perception/paired/55c37ff2-9650-41a1-a8b9-f4242372dda8_0.png", "image_2": "Perception/paired/55c37ff2-9650-41a1-a8b9-f4242372dda8_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.cloud\nB.color distortion\nC.noise\nD.image stretching", "answer": "C"}
{"id": "6643bda6-326c-493f-ba41-3e05a41d4c74", "image_1": "Perception/paired/6643bda6-326c-493f-ba41-3e05a41d4c74_0.png", "image_2": "Perception/paired/6643bda6-326c-493f-ba41-3e05a41d4c74_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "1aea5a0f-a376-4ff3-9bac-b5edf05731c6", "image_1": "Perception/paired/1aea5a0f-a376-4ff3-9bac-b5edf05731c6_0.png", "image_2": "Perception/paired/1aea5a0f-a376-4ff3-9bac-b5edf05731c6_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.blur\nB.noise\nC.image stretching\nD.No distortion", "answer": "B"}
{"id": "54c7540e-d26c-4734-b238-f355cf676311", "image_1": "Perception/paired/54c7540e-d26c-4734-b238-f355cf676311_0.png", "image_2": "Perception/paired/54c7540e-d26c-4734-b238-f355cf676311_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.noise\nB.dead pixel\nC.image stretching\nD.haze", "answer": "A"}
{"id": "d98a0cba-3249-47dc-a32b-17e906c1af8e", "image_1": "Perception/paired/d98a0cba-3249-47dc-a32b-17e906c1af8e_0.png", "image_2": "Perception/paired/d98a0cba-3249-47dc-a32b-17e906c1af8e_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.image compression\nC.color distortion\nD.noise", "answer": "D"}
{"id": "00e5a56d-383f-4092-815a-08c77bfc320c", "image_1": "Perception/paired/00e5a56d-383f-4092-815a-08c77bfc320c_0.png", "image_2": "Perception/paired/00e5a56d-383f-4092-815a-08c77bfc320c_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.noise\nB.color distortion\nC.dead pixel\nD.cloud", "answer": "A"}
{"id": "101b6eba-b940-4888-a7d9-91e419fa2496", "image_1": "Perception/paired/101b6eba-b940-4888-a7d9-91e419fa2496_0.png", "image_2": "Perception/paired/101b6eba-b940-4888-a7d9-91e419fa2496_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.haze\nB.image compression\nC.noise\nD.No distortion", "answer": "C"}
{"id": "4de0d6c1-c1b9-41f8-be13-ae1af9d2f109", "image_1": "Perception/paired/4de0d6c1-c1b9-41f8-be13-ae1af9d2f109_0.png", "image_2": "Perception/paired/4de0d6c1-c1b9-41f8-be13-ae1af9d2f109_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.image compression\nB.No distortion\nC.image stretching\nD.noise", "answer": "D"}
{"id": "1e16d839-0775-48ee-825e-6b75372fb071", "image_1": "Perception/paired/1e16d839-0775-48ee-825e-6b75372fb071_0.png", "image_2": "Perception/paired/1e16d839-0775-48ee-825e-6b75372fb071_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.noise\nB.haze\nC.color distortion\nD.No distortion", "answer": "A"}
{"id": "6397f738-94d1-4d61-98f0-2383f01a03f8", "image_1": "Perception/paired/6397f738-94d1-4d61-98f0-2383f01a03f8_0.png", "image_2": "Perception/paired/6397f738-94d1-4d61-98f0-2383f01a03f8_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image compression\nB.missing tiles\nC.blur\nD.noise", "answer": "D"}
{"id": "3bb9bcc6-19b7-464b-8a5f-f0cea465c40e", "image_1": "Perception/paired/3bb9bcc6-19b7-464b-8a5f-f0cea465c40e_0.png", "image_2": "Perception/paired/3bb9bcc6-19b7-464b-8a5f-f0cea465c40e_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.image compression\nB.noise\nC.No distortion\nD.dead pixel", "answer": "B"}
{"id": "3d99e2e8-210d-4ab4-8790-d16b7db8979c", "image_1": "Perception/paired/3d99e2e8-210d-4ab4-8790-d16b7db8979c_0.png", "image_2": "Perception/paired/3d99e2e8-210d-4ab4-8790-d16b7db8979c_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.haze\nB.image compression\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "9f2ac0c2-a24a-415f-a3b1-2239280ed21d", "image_1": "Perception/paired/9f2ac0c2-a24a-415f-a3b1-2239280ed21d_0.png", "image_2": "Perception/paired/9f2ac0c2-a24a-415f-a3b1-2239280ed21d_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.dead pixel\nC.missing tiles\nD.image stretching", "answer": "A"}
{"id": "1f188cef-1778-4d99-80e5-e5bbdd160019", "image_1": "Perception/paired/1f188cef-1778-4d99-80e5-e5bbdd160019_0.png", "image_2": "Perception/paired/1f188cef-1778-4d99-80e5-e5bbdd160019_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.blur\nC.color distortion\nD.noise", "answer": "D"}
{"id": "f0051e06-0605-494e-82ec-7211f5015ac5", "image_1": "Perception/paired/f0051e06-0605-494e-82ec-7211f5015ac5_0.png", "image_2": "Perception/paired/f0051e06-0605-494e-82ec-7211f5015ac5_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.missing tiles\nB.image compression\nC.color distortion\nD.noise", "answer": "D"}
{"id": "fe650e42-322c-42fb-847e-448f219dc493", "image_1": "Perception/paired/fe650e42-322c-42fb-847e-448f219dc493_0.png", "image_2": "Perception/paired/fe650e42-322c-42fb-847e-448f219dc493_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.noise\nB.image compression\nC.color distortion\nD.cloud", "answer": "A"}
{"id": "8ea23572-773f-490a-954b-5c6bf076d8f8", "image_1": "Perception/paired/8ea23572-773f-490a-954b-5c6bf076d8f8_0.png", "image_2": "Perception/paired/8ea23572-773f-490a-954b-5c6bf076d8f8_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.blur\nB.noise\nC.image compression\nD.haze", "answer": "B"}
{"id": "f3ab36a6-74b6-49e1-9d10-420d7ed76ba4", "image_1": "Perception/paired/f3ab36a6-74b6-49e1-9d10-420d7ed76ba4_0.png", "image_2": "Perception/paired/f3ab36a6-74b6-49e1-9d10-420d7ed76ba4_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.blur\nB.noise\nC.No distortion\nD.color distortion", "answer": "B"}
{"id": "14e99603-7f74-4eb7-a79e-9e4fee50b674", "image_1": "Perception/paired/14e99603-7f74-4eb7-a79e-9e4fee50b674_0.png", "image_2": "Perception/paired/14e99603-7f74-4eb7-a79e-9e4fee50b674_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.cloud\nC.noise\nD.image stretching", "answer": "C"}
{"id": "5de71ac9-f828-4fe3-8e65-b6e64844a5cd", "image_1": "Perception/paired/5de71ac9-f828-4fe3-8e65-b6e64844a5cd_0.png", "image_2": "Perception/paired/5de71ac9-f828-4fe3-8e65-b6e64844a5cd_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.image stretching\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "5bc528f2-ca8a-48f4-a552-1606895e8c1c", "image_1": "Perception/paired/5bc528f2-ca8a-48f4-a552-1606895e8c1c_0.png", "image_2": "Perception/paired/5bc528f2-ca8a-48f4-a552-1606895e8c1c_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.blur\nB.image stretching\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "0d6fbf5b-0fb0-4a6c-bfb8-5dbb69d2ad03", "image_1": "Perception/paired/0d6fbf5b-0fb0-4a6c-bfb8-5dbb69d2ad03_0.png", "image_2": "Perception/paired/0d6fbf5b-0fb0-4a6c-bfb8-5dbb69d2ad03_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.noise\nB.image compression\nC.image stretching\nD.missing tiles", "answer": "A"}
{"id": "abee9457-ef89-412b-a569-37f9491bbe2f", "image_1": "Perception/paired/abee9457-ef89-412b-a569-37f9491bbe2f_0.png", "image_2": "Perception/paired/abee9457-ef89-412b-a569-37f9491bbe2f_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.image stretching\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "2e07f159-1449-4b78-b30c-02c28775a90d", "image_1": "Perception/paired/2e07f159-1449-4b78-b30c-02c28775a90d_0.png", "image_2": "Perception/paired/2e07f159-1449-4b78-b30c-02c28775a90d_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.color distortion\nB.haze\nC.missing tiles\nD.No distortion", "answer": "D"}
{"id": "42447e86-1cff-43b2-8ca9-2a96204cfbaf", "image_1": "Perception/paired/42447e86-1cff-43b2-8ca9-2a96204cfbaf_0.png", "image_2": "Perception/paired/42447e86-1cff-43b2-8ca9-2a96204cfbaf_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.color distortion\nC.missing tiles\nD.image compression", "answer": "A"}
{"id": "ca4c6843-3cac-4c60-b433-064ece98f39e", "image_1": "Perception/paired/ca4c6843-3cac-4c60-b433-064ece98f39e_0.png", "image_2": "Perception/paired/ca4c6843-3cac-4c60-b433-064ece98f39e_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "46f713b9-497d-419d-bba0-ed4e9261d4d6", "image_1": "Perception/paired/46f713b9-497d-419d-bba0-ed4e9261d4d6_0.png", "image_2": "Perception/paired/46f713b9-497d-419d-bba0-ed4e9261d4d6_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.noise\nB.No distortion\nC.haze\nD.image compression", "answer": "A"}
{"id": "b4552b2f-46a2-4fdf-a515-7a8648cda73a", "image_1": "Perception/paired/b4552b2f-46a2-4fdf-a515-7a8648cda73a_0.png", "image_2": "Perception/paired/b4552b2f-46a2-4fdf-a515-7a8648cda73a_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.noise\nC.No distortion\nD.dead pixel", "answer": "B"}
{"id": "9c9b81c9-d384-4f4b-afac-4faf7cb81441", "image_1": "Perception/paired/9c9b81c9-d384-4f4b-afac-4faf7cb81441_0.png", "image_2": "Perception/paired/9c9b81c9-d384-4f4b-afac-4faf7cb81441_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.No distortion\nB.cloud\nC.noise\nD.image compression", "answer": "A"}
{"id": "780cc601-de1e-4c3f-aa0a-6db82f1345e9", "image_1": "Perception/paired/780cc601-de1e-4c3f-aa0a-6db82f1345e9_0.png", "image_2": "Perception/paired/780cc601-de1e-4c3f-aa0a-6db82f1345e9_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image stretching\nC.missing tiles\nD.noise", "answer": "D"}
{"id": "12d4d063-faad-4c2e-842b-b892f02ccfb6", "image_1": "Perception/paired/12d4d063-faad-4c2e-842b-b892f02ccfb6_0.png", "image_2": "Perception/paired/12d4d063-faad-4c2e-842b-b892f02ccfb6_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.image compression\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "dc0c6003-c9cf-4fd8-9ead-54a9a4193177", "image_1": "Perception/paired/dc0c6003-c9cf-4fd8-9ead-54a9a4193177_0.png", "image_2": "Perception/paired/dc0c6003-c9cf-4fd8-9ead-54a9a4193177_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.noise\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "de5d29cc-63cb-4b75-a761-c007c917397f", "image_1": "Perception/paired/de5d29cc-63cb-4b75-a761-c007c917397f_0.png", "image_2": "Perception/paired/de5d29cc-63cb-4b75-a761-c007c917397f_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.noise\nB.No distortion\nC.missing tiles\nD.haze", "answer": "A"}
{"id": "fe40155d-b080-4045-b159-498cd2760d6a", "image_1": "Perception/paired/fe40155d-b080-4045-b159-498cd2760d6a_0.png", "image_2": "Perception/paired/fe40155d-b080-4045-b159-498cd2760d6a_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.color distortion\nC.No distortion\nD.image stretching", "answer": "A"}
{"id": "4becf620-3193-4d3a-9176-0ebef3ec8097", "image_1": "Perception/paired/4becf620-3193-4d3a-9176-0ebef3ec8097_0.png", "image_2": "Perception/paired/4becf620-3193-4d3a-9176-0ebef3ec8097_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "e46c032c-3c71-4d5d-8d17-0ab64f3cc7fa", "image_1": "Perception/paired/e46c032c-3c71-4d5d-8d17-0ab64f3cc7fa_0.png", "image_2": "Perception/paired/e46c032c-3c71-4d5d-8d17-0ab64f3cc7fa_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.haze\nB.No distortion\nC.noise\nD.cloud", "answer": "C"}
{"id": "b2b7a5ac-b7ee-4f30-b515-353a4ae17f2e", "image_1": "Perception/paired/b2b7a5ac-b7ee-4f30-b515-353a4ae17f2e_0.png", "image_2": "Perception/paired/b2b7a5ac-b7ee-4f30-b515-353a4ae17f2e_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image compression\nB.noise\nC.image stretching\nD.color distortion", "answer": "B"}
{"id": "13c44486-6232-49f5-a340-25ebf2121d84", "image_1": "Perception/paired/13c44486-6232-49f5-a340-25ebf2121d84_0.png", "image_2": "Perception/paired/13c44486-6232-49f5-a340-25ebf2121d84_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "6945f0ec-e701-4e28-8d2b-765f6d9d49e4", "image_1": "Perception/paired/6945f0ec-e701-4e28-8d2b-765f6d9d49e4_0.png", "image_2": "Perception/paired/6945f0ec-e701-4e28-8d2b-765f6d9d49e4_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.cloud\nB.noise\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "5b2496d4-51fc-4066-89ee-2d7b36f999ba", "image_1": "Perception/paired/5b2496d4-51fc-4066-89ee-2d7b36f999ba_0.png", "image_2": "Perception/paired/5b2496d4-51fc-4066-89ee-2d7b36f999ba_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.cloud\nC.No distortion\nD.noise", "answer": "D"}
{"id": "6100fd84-735d-4935-abf1-bb38cab77f32", "image_1": "Perception/paired/6100fd84-735d-4935-abf1-bb38cab77f32_0.png", "image_2": "Perception/paired/6100fd84-735d-4935-abf1-bb38cab77f32_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.haze\nC.noise\nD.color distortion", "answer": "C"}
{"id": "cf6508d1-95ce-4dc6-94a6-017f271de311", "image_1": "Perception/paired/cf6508d1-95ce-4dc6-94a6-017f271de311_0.png", "image_2": "Perception/paired/cf6508d1-95ce-4dc6-94a6-017f271de311_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.No distortion\nB.image compression\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "c9fec220-9121-4ee6-b530-a92f6c99a681", "image_1": "Perception/paired/c9fec220-9121-4ee6-b530-a92f6c99a681_0.png", "image_2": "Perception/paired/c9fec220-9121-4ee6-b530-a92f6c99a681_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "331fb515-c40d-473e-8f3b-a1e3854038dd", "image_1": "Perception/paired/331fb515-c40d-473e-8f3b-a1e3854038dd_0.png", "image_2": "Perception/paired/331fb515-c40d-473e-8f3b-a1e3854038dd_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "2566a3a3-3161-4bc2-aaa9-a98403fa1a72", "image_1": "Perception/paired/2566a3a3-3161-4bc2-aaa9-a98403fa1a72_0.png", "image_2": "Perception/paired/2566a3a3-3161-4bc2-aaa9-a98403fa1a72_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "cfa345af-04c0-4dfb-b8fd-375e657d5067", "image_1": "Perception/paired/cfa345af-04c0-4dfb-b8fd-375e657d5067_0.png", "image_2": "Perception/paired/cfa345af-04c0-4dfb-b8fd-375e657d5067_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.dead pixel\nB.blur\nC.noise\nD.image compression", "answer": "C"}
{"id": "34eb9917-8e21-4554-b55e-7b7939f0af29", "image_1": "Perception/paired/34eb9917-8e21-4554-b55e-7b7939f0af29_0.png", "image_2": "Perception/paired/34eb9917-8e21-4554-b55e-7b7939f0af29_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.cloud\nB.dead pixel\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "c4925609-79ea-4402-845b-62c150faae92", "image_1": "Perception/paired/c4925609-79ea-4402-845b-62c150faae92_0.png", "image_2": "Perception/paired/c4925609-79ea-4402-845b-62c150faae92_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.noise\nC.haze\nD.blur", "answer": "B"}
{"id": "31b4a1a1-2890-4bf2-92da-0ac6696b64b8", "image_1": "Perception/paired/31b4a1a1-2890-4bf2-92da-0ac6696b64b8_0.png", "image_2": "Perception/paired/31b4a1a1-2890-4bf2-92da-0ac6696b64b8_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.missing tiles\nC.noise\nD.haze", "answer": "C"}
{"id": "a836e0fd-b92e-4a4c-b1fc-bfe9cc724c28", "image_1": "Perception/paired/a836e0fd-b92e-4a4c-b1fc-bfe9cc724c28_0.png", "image_2": "Perception/paired/a836e0fd-b92e-4a4c-b1fc-bfe9cc724c28_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.color distortion\nB.blur\nC.noise\nD.No distortion", "answer": "C"}
{"id": "dc81f49c-912f-4810-a773-8514f04def46", "image_1": "Perception/paired/dc81f49c-912f-4810-a773-8514f04def46_0.png", "image_2": "Perception/paired/dc81f49c-912f-4810-a773-8514f04def46_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.blur\nB.No distortion\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "00c27ff0-32b0-4180-b9dc-c4f5d72231aa", "image_1": "Perception/paired/00c27ff0-32b0-4180-b9dc-c4f5d72231aa_0.png", "image_2": "Perception/paired/00c27ff0-32b0-4180-b9dc-c4f5d72231aa_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.noise\nC.blur\nD.dead pixel", "answer": "B"}
{"id": "1970d6cc-d8c1-4358-8309-31a298657039", "image_1": "Perception/paired/1970d6cc-d8c1-4358-8309-31a298657039_0.png", "image_2": "Perception/paired/1970d6cc-d8c1-4358-8309-31a298657039_1.png", "question": "Identify the main distortion introduced between the two images.\nA.cloud\nB.blur\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "a74c7ea1-0004-4d91-87fd-e9e9f3679ab9", "image_1": "Perception/paired/a74c7ea1-0004-4d91-87fd-e9e9f3679ab9_0.png", "image_2": "Perception/paired/a74c7ea1-0004-4d91-87fd-e9e9f3679ab9_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.haze\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "03ac0678-b200-457d-b4f6-1b463a93939a", "image_1": "Perception/paired/03ac0678-b200-457d-b4f6-1b463a93939a_0.png", "image_2": "Perception/paired/03ac0678-b200-457d-b4f6-1b463a93939a_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.cloud\nB.blur\nC.image stretching\nD.noise", "answer": "D"}
{"id": "3b81359d-0311-4e3e-926f-89df00a4c8c9", "image_1": "Perception/paired/3b81359d-0311-4e3e-926f-89df00a4c8c9_0.png", "image_2": "Perception/paired/3b81359d-0311-4e3e-926f-89df00a4c8c9_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.cloud\nB.color distortion\nC.noise\nD.image stretching", "answer": "C"}
{"id": "9f624b08-0491-45d9-9035-6eba02a88943", "image_1": "Perception/paired/9f624b08-0491-45d9-9035-6eba02a88943_0.png", "image_2": "Perception/paired/9f624b08-0491-45d9-9035-6eba02a88943_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "d76628d0-377b-49bf-9a6f-4785fef6dea3", "image_1": "Perception/paired/d76628d0-377b-49bf-9a6f-4785fef6dea3_0.png", "image_2": "Perception/paired/d76628d0-377b-49bf-9a6f-4785fef6dea3_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.blur\nB.noise\nC.image stretching\nD.No distortion", "answer": "B"}
{"id": "02ec09a6-bf13-4775-84ac-c15aa6cc9fbd", "image_1": "Perception/paired/02ec09a6-bf13-4775-84ac-c15aa6cc9fbd_0.png", "image_2": "Perception/paired/02ec09a6-bf13-4775-84ac-c15aa6cc9fbd_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.image stretching\nB.noise\nC.dead pixel\nD.color distortion", "answer": "B"}
{"id": "6762a4f1-f042-458d-9413-64861242dbb9", "image_1": "Perception/paired/6762a4f1-f042-458d-9413-64861242dbb9_0.png", "image_2": "Perception/paired/6762a4f1-f042-458d-9413-64861242dbb9_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image compression\nB.noise\nC.missing tiles\nD.cloud", "answer": "B"}
{"id": "9fdee61e-5b37-4e3a-8a8b-da525375e04c", "image_1": "Perception/paired/9fdee61e-5b37-4e3a-8a8b-da525375e04c_0.png", "image_2": "Perception/paired/9fdee61e-5b37-4e3a-8a8b-da525375e04c_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.image compression\nB.image stretching\nC.noise\nD.blur", "answer": "C"}
{"id": "b0770859-20cf-4bc5-acfe-cb5c742bf93e", "image_1": "Perception/paired/b0770859-20cf-4bc5-acfe-cb5c742bf93e_0.png", "image_2": "Perception/paired/b0770859-20cf-4bc5-acfe-cb5c742bf93e_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.No distortion\nB.missing tiles\nC.haze\nD.noise", "answer": "D"}
{"id": "e2291ff4-9b95-481f-a81d-0a925b35f6f6", "image_1": "Perception/paired/e2291ff4-9b95-481f-a81d-0a925b35f6f6_0.png", "image_2": "Perception/paired/e2291ff4-9b95-481f-a81d-0a925b35f6f6_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.missing tiles\nC.noise\nD.image compression", "answer": "C"}
{"id": "efbfa709-b00f-4565-93e6-70242172e046", "image_1": "Perception/paired/efbfa709-b00f-4565-93e6-70242172e046_0.png", "image_2": "Perception/paired/efbfa709-b00f-4565-93e6-70242172e046_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.missing tiles\nC.noise\nD.No distortion", "answer": "C"}
{"id": "d8cbdcf8-0ddd-4f23-8a87-0d19559d610c", "image_1": "Perception/paired/d8cbdcf8-0ddd-4f23-8a87-0d19559d610c_0.png", "image_2": "Perception/paired/d8cbdcf8-0ddd-4f23-8a87-0d19559d610c_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.dead pixel\nB.noise\nC.cloud\nD.image compression", "answer": "B"}
{"id": "478ab5e7-7363-459a-bc88-1dab81d3e258", "image_1": "Perception/paired/478ab5e7-7363-459a-bc88-1dab81d3e258_0.png", "image_2": "Perception/paired/478ab5e7-7363-459a-bc88-1dab81d3e258_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.image compression\nB.image stretching\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "2dd1ed2d-e7e5-4a16-91f7-30c2113b7b1b", "image_1": "Perception/paired/2dd1ed2d-e7e5-4a16-91f7-30c2113b7b1b_0.png", "image_2": "Perception/paired/2dd1ed2d-e7e5-4a16-91f7-30c2113b7b1b_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.No distortion\nC.noise\nD.image stretching", "answer": "C"}
{"id": "ee1648fc-3db0-4c3f-8e7f-520d7177b970", "image_1": "Perception/paired/ee1648fc-3db0-4c3f-8e7f-520d7177b970_0.png", "image_2": "Perception/paired/ee1648fc-3db0-4c3f-8e7f-520d7177b970_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.blur\nB.haze\nC.cloud\nD.noise", "answer": "D"}
{"id": "2ea457d7-2b68-4cfc-823c-b5e0e1a3a3df", "image_1": "Perception/paired/2ea457d7-2b68-4cfc-823c-b5e0e1a3a3df_0.png", "image_2": "Perception/paired/2ea457d7-2b68-4cfc-823c-b5e0e1a3a3df_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.No distortion\nB.image stretching\nC.color distortion\nD.noise", "answer": "D"}
{"id": "aea553c4-8161-4c5c-a62f-e356f5ee5dd1", "image_1": "Perception/paired/aea553c4-8161-4c5c-a62f-e356f5ee5dd1_0.png", "image_2": "Perception/paired/aea553c4-8161-4c5c-a62f-e356f5ee5dd1_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.dead pixel\nB.color distortion\nC.image compression\nD.noise", "answer": "D"}
{"id": "b0cd9905-92dc-4293-92fa-e267c52c2315", "image_1": "Perception/paired/b0cd9905-92dc-4293-92fa-e267c52c2315_0.png", "image_2": "Perception/paired/b0cd9905-92dc-4293-92fa-e267c52c2315_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.color distortion\nB.noise\nC.image compression\nD.missing tiles", "answer": "B"}
{"id": "fd80cad7-8b3f-4d34-894a-371c00891911", "image_1": "Perception/paired/fd80cad7-8b3f-4d34-894a-371c00891911_0.png", "image_2": "Perception/paired/fd80cad7-8b3f-4d34-894a-371c00891911_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.noise\nC.No distortion\nD.image stretching", "answer": "B"}
{"id": "815f5045-05a8-49ee-995e-c2f2bbaa0be1", "image_1": "Perception/paired/815f5045-05a8-49ee-995e-c2f2bbaa0be1_0.png", "image_2": "Perception/paired/815f5045-05a8-49ee-995e-c2f2bbaa0be1_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.noise\nB.missing tiles\nC.image compression\nD.cloud", "answer": "A"}
{"id": "790e6f23-57b1-419e-ab72-b154409ad23a", "image_1": "Perception/paired/790e6f23-57b1-419e-ab72-b154409ad23a_0.png", "image_2": "Perception/paired/790e6f23-57b1-419e-ab72-b154409ad23a_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.cloud\nC.noise\nD.image stretching", "answer": "C"}
{"id": "3539edc3-5211-4171-beff-7d93f07fa7a3", "image_1": "Perception/paired/3539edc3-5211-4171-beff-7d93f07fa7a3_0.png", "image_2": "Perception/paired/3539edc3-5211-4171-beff-7d93f07fa7a3_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.haze\nB.image stretching\nC.color distortion\nD.noise", "answer": "D"}
{"id": "9d9de073-04f6-4b59-b221-e144f7b85f0f", "image_1": "Perception/paired/9d9de073-04f6-4b59-b221-e144f7b85f0f_0.png", "image_2": "Perception/paired/9d9de073-04f6-4b59-b221-e144f7b85f0f_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.blur\nB.image stretching\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "e891118d-e375-4a0f-9380-0bd757663553", "image_1": "Perception/paired/e891118d-e375-4a0f-9380-0bd757663553_0.png", "image_2": "Perception/paired/e891118d-e375-4a0f-9380-0bd757663553_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.noise\nB.image compression\nC.image stretching\nD.missing tiles", "answer": "A"}
{"id": "78c7cf95-9f5d-4191-ab8f-a434b220bb04", "image_1": "Perception/paired/78c7cf95-9f5d-4191-ab8f-a434b220bb04_0.png", "image_2": "Perception/paired/78c7cf95-9f5d-4191-ab8f-a434b220bb04_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.image stretching\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "ac7664f6-74fe-4d8c-9f97-e93203149eee", "image_1": "Perception/paired/ac7664f6-74fe-4d8c-9f97-e93203149eee_0.png", "image_2": "Perception/paired/ac7664f6-74fe-4d8c-9f97-e93203149eee_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.haze\nB.missing tiles\nC.cloud\nD.noise", "answer": "D"}
{"id": "6fd655cc-1595-4e3d-91a5-98d38a0b3221", "image_1": "Perception/paired/6fd655cc-1595-4e3d-91a5-98d38a0b3221_0.png", "image_2": "Perception/paired/6fd655cc-1595-4e3d-91a5-98d38a0b3221_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.color distortion\nC.missing tiles\nD.image compression", "answer": "A"}
{"id": "17db5400-9097-484a-9795-1f8ee0e4b89e", "image_1": "Perception/paired/17db5400-9097-484a-9795-1f8ee0e4b89e_0.png", "image_2": "Perception/paired/17db5400-9097-484a-9795-1f8ee0e4b89e_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.noise\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "351e25d6-c31c-47d7-afd0-af857b5a65eb", "image_1": "Perception/paired/351e25d6-c31c-47d7-afd0-af857b5a65eb_0.png", "image_2": "Perception/paired/351e25d6-c31c-47d7-afd0-af857b5a65eb_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.noise\nB.No distortion\nC.haze\nD.image compression", "answer": "A"}
{"id": "3b1b5a4b-f01b-4099-9a2a-e14975e0ed18", "image_1": "Perception/paired/3b1b5a4b-f01b-4099-9a2a-e14975e0ed18_0.png", "image_2": "Perception/paired/3b1b5a4b-f01b-4099-9a2a-e14975e0ed18_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.haze\nB.No distortion\nC.image compression\nD.noise", "answer": "B"}
{"id": "f5b62678-6fa2-40d0-9e64-cdac61702160", "image_1": "Perception/paired/f5b62678-6fa2-40d0-9e64-cdac61702160_0.png", "image_2": "Perception/paired/f5b62678-6fa2-40d0-9e64-cdac61702160_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.No distortion\nB.cloud\nC.noise\nD.image compression", "answer": "A"}
{"id": "01d8a8be-60d3-4fb9-a180-b21467a16ec2", "image_1": "Perception/paired/01d8a8be-60d3-4fb9-a180-b21467a16ec2_0.png", "image_2": "Perception/paired/01d8a8be-60d3-4fb9-a180-b21467a16ec2_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image compression\nB.image stretching\nC.haze\nD.No distortion", "answer": "D"}
{"id": "89762bdc-25aa-4326-970c-0191cc281df7", "image_1": "Perception/paired/89762bdc-25aa-4326-970c-0191cc281df7_0.png", "image_2": "Perception/paired/89762bdc-25aa-4326-970c-0191cc281df7_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.cloud\nB.No distortion\nC.noise\nD.blur", "answer": "C"}
{"id": "55f19055-59fe-49fe-8fdb-c5eb22f0ea2a", "image_1": "Perception/paired/55f19055-59fe-49fe-8fdb-c5eb22f0ea2a_0.png", "image_2": "Perception/paired/55f19055-59fe-49fe-8fdb-c5eb22f0ea2a_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.noise\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "ed8259fd-6ad0-4e48-bd8f-0f116cd0501a", "image_1": "Perception/paired/ed8259fd-6ad0-4e48-bd8f-0f116cd0501a_0.png", "image_2": "Perception/paired/ed8259fd-6ad0-4e48-bd8f-0f116cd0501a_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.No distortion\nB.image compression\nC.haze\nD.color distortion", "answer": "A"}
{"id": "c99c3ccf-daf4-4d01-bb55-7f3d7efdf7c7", "image_1": "Perception/paired/c99c3ccf-daf4-4d01-bb55-7f3d7efdf7c7_0.png", "image_2": "Perception/paired/c99c3ccf-daf4-4d01-bb55-7f3d7efdf7c7_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.color distortion\nC.No distortion\nD.image stretching", "answer": "A"}
{"id": "403a046f-9e24-4f23-b9dd-17387f22b6f8", "image_1": "Perception/paired/403a046f-9e24-4f23-b9dd-17387f22b6f8_0.png", "image_2": "Perception/paired/403a046f-9e24-4f23-b9dd-17387f22b6f8_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.haze\nC.dead pixel\nD.cloud", "answer": "A"}
{"id": "9913417d-b06e-47a5-bcbb-6c30efa3666c", "image_1": "Perception/paired/9913417d-b06e-47a5-bcbb-6c30efa3666c_0.png", "image_2": "Perception/paired/9913417d-b06e-47a5-bcbb-6c30efa3666c_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.color distortion\nB.image compression\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "d23e0885-ef14-44b8-8eed-dff818ac1e76", "image_1": "Perception/paired/d23e0885-ef14-44b8-8eed-dff818ac1e76_0.png", "image_2": "Perception/paired/d23e0885-ef14-44b8-8eed-dff818ac1e76_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.blur\nB.No distortion\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "518669cb-b85e-44ff-81ea-2c73d20b59dc", "image_1": "Perception/paired/518669cb-b85e-44ff-81ea-2c73d20b59dc_0.png", "image_2": "Perception/paired/518669cb-b85e-44ff-81ea-2c73d20b59dc_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.cloud\nB.haze\nC.noise\nD.No distortion", "answer": "C"}
{"id": "ab21c4e0-2bc8-40b0-883a-74d15144dc7d", "image_1": "Perception/paired/ab21c4e0-2bc8-40b0-883a-74d15144dc7d_0.png", "image_2": "Perception/paired/ab21c4e0-2bc8-40b0-883a-74d15144dc7d_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.cloud\nB.noise\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "11023764-2cd8-409b-b910-33e2b62d5219", "image_1": "Perception/paired/11023764-2cd8-409b-b910-33e2b62d5219_0.png", "image_2": "Perception/paired/11023764-2cd8-409b-b910-33e2b62d5219_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.cloud\nC.No distortion\nD.noise", "answer": "D"}
{"id": "abfdae90-8070-4730-82ad-36c1ae678d0d", "image_1": "Perception/paired/abfdae90-8070-4730-82ad-36c1ae678d0d_0.png", "image_2": "Perception/paired/abfdae90-8070-4730-82ad-36c1ae678d0d_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.haze\nC.noise\nD.color distortion", "answer": "C"}
{"id": "04c4bf71-b46a-4260-9391-d20b1eee2fab", "image_1": "Perception/paired/04c4bf71-b46a-4260-9391-d20b1eee2fab_0.png", "image_2": "Perception/paired/04c4bf71-b46a-4260-9391-d20b1eee2fab_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.No distortion\nB.image compression\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "045b27d8-b6e3-4901-97b9-f81fcaa68a7c", "image_1": "Perception/paired/045b27d8-b6e3-4901-97b9-f81fcaa68a7c_0.png", "image_2": "Perception/paired/045b27d8-b6e3-4901-97b9-f81fcaa68a7c_1.png", "question": "Identify the main distortion introduced between the two images.\nA.missing tiles\nB.color distortion\nC.noise\nD.cloud", "answer": "C"}
{"id": "7258a4a2-1562-4ecc-9546-38730703612b", "image_1": "Perception/paired/7258a4a2-1562-4ecc-9546-38730703612b_0.png", "image_2": "Perception/paired/7258a4a2-1562-4ecc-9546-38730703612b_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.noise\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "ee44c7f8-a742-46d8-a671-b87b472658b3", "image_1": "Perception/paired/ee44c7f8-a742-46d8-a671-b87b472658b3_0.png", "image_2": "Perception/paired/ee44c7f8-a742-46d8-a671-b87b472658b3_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "cba426bc-eba4-4e35-88c9-e877ae910c23", "image_1": "Perception/paired/cba426bc-eba4-4e35-88c9-e877ae910c23_0.png", "image_2": "Perception/paired/cba426bc-eba4-4e35-88c9-e877ae910c23_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.cloud\nC.No distortion\nD.blur", "answer": "C"}
{"id": "8bc34213-01a2-400f-bf04-245d9e0c924d", "image_1": "Perception/paired/8bc34213-01a2-400f-bf04-245d9e0c924d_0.png", "image_2": "Perception/paired/8bc34213-01a2-400f-bf04-245d9e0c924d_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.blur\nB.color distortion\nC.noise\nD.haze", "answer": "C"}
{"id": "583e3a77-e080-4485-8028-11e5a81d7bdc", "image_1": "Perception/paired/583e3a77-e080-4485-8028-11e5a81d7bdc_0.png", "image_2": "Perception/paired/583e3a77-e080-4485-8028-11e5a81d7bdc_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.noise\nC.haze\nD.blur", "answer": "B"}
{"id": "300e9273-fde3-4f72-9606-e29f16e0443d", "image_1": "Perception/paired/300e9273-fde3-4f72-9606-e29f16e0443d_0.png", "image_2": "Perception/paired/300e9273-fde3-4f72-9606-e29f16e0443d_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.missing tiles\nC.noise\nD.haze", "answer": "C"}
{"id": "f118fd52-27fb-40fe-9537-7cb6963b82c4", "image_1": "Perception/paired/f118fd52-27fb-40fe-9537-7cb6963b82c4_0.png", "image_2": "Perception/paired/f118fd52-27fb-40fe-9537-7cb6963b82c4_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.cloud\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "0c2a5338-3716-4622-9474-3bb734ee3d19", "image_1": "Perception/paired/0c2a5338-3716-4622-9474-3bb734ee3d19_0.png", "image_2": "Perception/paired/0c2a5338-3716-4622-9474-3bb734ee3d19_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.blur\nB.No distortion\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "2427517d-55b9-4645-a6db-3e9f2947c4ea", "image_1": "Perception/paired/2427517d-55b9-4645-a6db-3e9f2947c4ea_0.png", "image_2": "Perception/paired/2427517d-55b9-4645-a6db-3e9f2947c4ea_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.blur\nB.No distortion\nC.cloud\nD.noise", "answer": "B"}
{"id": "80fcd4fd-7927-487f-a7fb-49fb73deb6a4", "image_1": "Perception/paired/80fcd4fd-7927-487f-a7fb-49fb73deb6a4_0.png", "image_2": "Perception/paired/80fcd4fd-7927-487f-a7fb-49fb73deb6a4_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.image compression\nC.image stretching\nD.noise", "answer": "D"}
{"id": "f5ad639a-a9e2-41d7-aee7-39a7ff6fd13e", "image_1": "Perception/paired/f5ad639a-a9e2-41d7-aee7-39a7ff6fd13e_0.png", "image_2": "Perception/paired/f5ad639a-a9e2-41d7-aee7-39a7ff6fd13e_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.haze\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "8af9b616-6a77-4c42-a746-1d526d78579c", "image_1": "Perception/paired/8af9b616-6a77-4c42-a746-1d526d78579c_0.png", "image_2": "Perception/paired/8af9b616-6a77-4c42-a746-1d526d78579c_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.missing tiles\nB.cloud\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "c6fceab8-9467-45e9-a2de-7bfd1f7a0269", "image_1": "Perception/paired/c6fceab8-9467-45e9-a2de-7bfd1f7a0269_0.png", "image_2": "Perception/paired/c6fceab8-9467-45e9-a2de-7bfd1f7a0269_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.cloud\nB.color distortion\nC.noise\nD.image stretching", "answer": "C"}
{"id": "941a3ef5-cd06-4f68-95f8-e8d9c9154ea2", "image_1": "Perception/paired/941a3ef5-cd06-4f68-95f8-e8d9c9154ea2_0.png", "image_2": "Perception/paired/941a3ef5-cd06-4f68-95f8-e8d9c9154ea2_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.dead pixel\nB.noise\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "d0fb2e59-e259-4155-8ed9-b318ebff1c27", "image_1": "Perception/paired/d0fb2e59-e259-4155-8ed9-b318ebff1c27_0.png", "image_2": "Perception/paired/d0fb2e59-e259-4155-8ed9-b318ebff1c27_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.cloud\nB.No distortion\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "cc12c974-ed7f-43de-b4fa-c228cc95ef70", "image_1": "Perception/paired/cc12c974-ed7f-43de-b4fa-c228cc95ef70_0.png", "image_2": "Perception/paired/cc12c974-ed7f-43de-b4fa-c228cc95ef70_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.dead pixel\nC.noise\nD.No distortion", "answer": "C"}
{"id": "4f4b68b1-c56e-41f0-b1b5-64252c02b121", "image_1": "Perception/paired/4f4b68b1-c56e-41f0-b1b5-64252c02b121_0.png", "image_2": "Perception/paired/4f4b68b1-c56e-41f0-b1b5-64252c02b121_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.dead pixel\nB.cloud\nC.noise\nD.color distortion", "answer": "C"}
{"id": "d7b07235-3021-47e0-9173-b8d49e2d4269", "image_1": "Perception/paired/d7b07235-3021-47e0-9173-b8d49e2d4269_0.png", "image_2": "Perception/paired/d7b07235-3021-47e0-9173-b8d49e2d4269_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.No distortion\nC.image compression\nD.dead pixel", "answer": "A"}
{"id": "c67dbff9-294e-4473-be07-d5f198ee53eb", "image_1": "Perception/paired/c67dbff9-294e-4473-be07-d5f198ee53eb_0.png", "image_2": "Perception/paired/c67dbff9-294e-4473-be07-d5f198ee53eb_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.missing tiles\nB.color distortion\nC.cloud\nD.noise", "answer": "D"}
{"id": "a1c8e9e1-f1aa-4470-ad77-d0edc7f8eee3", "image_1": "Perception/paired/a1c8e9e1-f1aa-4470-ad77-d0edc7f8eee3_0.png", "image_2": "Perception/paired/a1c8e9e1-f1aa-4470-ad77-d0edc7f8eee3_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.color distortion\nB.cloud\nC.missing tiles\nD.noise", "answer": "D"}
{"id": "e69e6a14-4989-448b-8541-2834f4acc14e", "image_1": "Perception/paired/e69e6a14-4989-448b-8541-2834f4acc14e_0.png", "image_2": "Perception/paired/e69e6a14-4989-448b-8541-2834f4acc14e_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.color distortion\nB.blur\nC.haze\nD.noise", "answer": "D"}
{"id": "26f4584a-f905-4704-b673-953ad1e96f03", "image_1": "Perception/paired/26f4584a-f905-4704-b673-953ad1e96f03_0.png", "image_2": "Perception/paired/26f4584a-f905-4704-b673-953ad1e96f03_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.noise\nC.haze\nD.image compression", "answer": "B"}
{"id": "aef52b03-f5b0-4de3-b3c1-0000c9bbf6ea", "image_1": "Perception/paired/aef52b03-f5b0-4de3-b3c1-0000c9bbf6ea_0.png", "image_2": "Perception/paired/aef52b03-f5b0-4de3-b3c1-0000c9bbf6ea_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.blur\nB.noise\nC.image stretching\nD.color distortion", "answer": "B"}
{"id": "3af72ee1-eccd-4198-b74a-802ad6f40332", "image_1": "Perception/paired/3af72ee1-eccd-4198-b74a-802ad6f40332_0.png", "image_2": "Perception/paired/3af72ee1-eccd-4198-b74a-802ad6f40332_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.haze\nB.noise\nC.color distortion\nD.No distortion", "answer": "B"}
{"id": "e600df12-8dc3-4f76-ad8c-1e3198922e9e", "image_1": "Perception/paired/e600df12-8dc3-4f76-ad8c-1e3198922e9e_0.png", "image_2": "Perception/paired/e600df12-8dc3-4f76-ad8c-1e3198922e9e_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.image compression\nB.noise\nC.cloud\nD.haze", "answer": "B"}
{"id": "a1634dc4-6932-4bc1-9cf1-748c1392173f", "image_1": "Perception/paired/a1634dc4-6932-4bc1-9cf1-748c1392173f_0.png", "image_2": "Perception/paired/a1634dc4-6932-4bc1-9cf1-748c1392173f_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.noise\nB.blur\nC.haze\nD.No distortion", "answer": "A"}
{"id": "8eff5184-5656-4aff-bd83-d89333faabc4", "image_1": "Perception/paired/8eff5184-5656-4aff-bd83-d89333faabc4_0.png", "image_2": "Perception/paired/8eff5184-5656-4aff-bd83-d89333faabc4_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.noise\nB.haze\nC.missing tiles\nD.cloud", "answer": "A"}
{"id": "63a7a0a3-9ddb-4cf6-8590-9b26009ee2fa", "image_1": "Perception/paired/63a7a0a3-9ddb-4cf6-8590-9b26009ee2fa_0.png", "image_2": "Perception/paired/63a7a0a3-9ddb-4cf6-8590-9b26009ee2fa_1.png", "question": "Identify the main distortion introduced between the two images.\nA.noise\nB.color distortion\nC.image compression\nD.haze", "answer": "A"}
{"id": "a12bce14-d00d-4479-9bf7-8998fb88a780", "image_1": "Perception/paired/a12bce14-d00d-4479-9bf7-8998fb88a780_0.png", "image_2": "Perception/paired/a12bce14-d00d-4479-9bf7-8998fb88a780_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.haze\nB.noise\nC.cloud\nD.missing tiles", "answer": "B"}
{"id": "316c9e75-fa38-4b4b-a7a2-478c1d098453", "image_1": "Perception/paired/316c9e75-fa38-4b4b-a7a2-478c1d098453_0.png", "image_2": "Perception/paired/316c9e75-fa38-4b4b-a7a2-478c1d098453_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.noise\nC.blur\nD.color distortion", "answer": "B"}
{"id": "13a21015-0a3e-45b4-91b2-2252170404ef", "image_1": "Perception/paired/13a21015-0a3e-45b4-91b2-2252170404ef_0.png", "image_2": "Perception/paired/13a21015-0a3e-45b4-91b2-2252170404ef_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image compression\nB.missing tiles\nC.No distortion\nD.image stretching", "answer": "C"}
{"id": "2afe0c04-bf6a-406c-af24-719fcace3f89", "image_1": "Perception/paired/2afe0c04-bf6a-406c-af24-719fcace3f89_0.png", "image_2": "Perception/paired/2afe0c04-bf6a-406c-af24-719fcace3f89_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.color distortion\nB.image stretching\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "1fea4442-e76c-45f8-939d-e17f682a1f85", "image_1": "Perception/paired/1fea4442-e76c-45f8-939d-e17f682a1f85_0.png", "image_2": "Perception/paired/1fea4442-e76c-45f8-939d-e17f682a1f85_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.blur\nB.image stretching\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "88459ddb-7caa-4115-83ac-a0067b7991cf", "image_1": "Perception/paired/88459ddb-7caa-4115-83ac-a0067b7991cf_0.png", "image_2": "Perception/paired/88459ddb-7caa-4115-83ac-a0067b7991cf_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.noise\nB.image compression\nC.image stretching\nD.missing tiles", "answer": "A"}
{"id": "31256fb9-7975-42b9-b3f3-0c2cd4d3e897", "image_1": "Perception/paired/31256fb9-7975-42b9-b3f3-0c2cd4d3e897_0.png", "image_2": "Perception/paired/31256fb9-7975-42b9-b3f3-0c2cd4d3e897_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.image stretching\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "2e5fe7a3-d2bb-4b41-ad2a-84244b78336f", "image_1": "Perception/paired/2e5fe7a3-d2bb-4b41-ad2a-84244b78336f_0.png", "image_2": "Perception/paired/2e5fe7a3-d2bb-4b41-ad2a-84244b78336f_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.haze\nB.missing tiles\nC.cloud\nD.noise", "answer": "D"}
{"id": "187e7a19-e4a8-4323-882e-0493a81d4538", "image_1": "Perception/paired/187e7a19-e4a8-4323-882e-0493a81d4538_0.png", "image_2": "Perception/paired/187e7a19-e4a8-4323-882e-0493a81d4538_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.noise\nB.haze\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "27bf62a9-317b-43a4-818b-163c1376f866", "image_1": "Perception/paired/27bf62a9-317b-43a4-818b-163c1376f866_0.png", "image_2": "Perception/paired/27bf62a9-317b-43a4-818b-163c1376f866_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.noise\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "b0910a46-43f8-4645-b99e-bf52ed9541cf", "image_1": "Perception/paired/b0910a46-43f8-4645-b99e-bf52ed9541cf_0.png", "image_2": "Perception/paired/b0910a46-43f8-4645-b99e-bf52ed9541cf_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.noise\nB.No distortion\nC.haze\nD.image compression", "answer": "A"}
{"id": "8359d9aa-7ab6-4bff-84a5-cad12632e163", "image_1": "Perception/paired/8359d9aa-7ab6-4bff-84a5-cad12632e163_0.png", "image_2": "Perception/paired/8359d9aa-7ab6-4bff-84a5-cad12632e163_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.noise\nC.No distortion\nD.dead pixel", "answer": "B"}
{"id": "4c3d36d7-f980-47a1-b16b-0cd01f23d55f", "image_1": "Perception/paired/4c3d36d7-f980-47a1-b16b-0cd01f23d55f_0.png", "image_2": "Perception/paired/4c3d36d7-f980-47a1-b16b-0cd01f23d55f_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.blur\nC.dead pixel\nD.No distortion", "answer": "A"}
{"id": "8b9f4d80-8ca9-4463-9176-2c6eaff3bfc2", "image_1": "Perception/paired/8b9f4d80-8ca9-4463-9176-2c6eaff3bfc2_0.png", "image_2": "Perception/paired/8b9f4d80-8ca9-4463-9176-2c6eaff3bfc2_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image stretching\nC.missing tiles\nD.noise", "answer": "D"}
{"id": "d8cbbc9e-be1d-483e-a668-0368d635ba23", "image_1": "Perception/paired/d8cbbc9e-be1d-483e-a668-0368d635ba23_0.png", "image_2": "Perception/paired/d8cbbc9e-be1d-483e-a668-0368d635ba23_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.missing tiles\nB.image compression\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "62f9661c-21ea-46ba-b915-be0d00d99e17", "image_1": "Perception/paired/62f9661c-21ea-46ba-b915-be0d00d99e17_0.png", "image_2": "Perception/paired/62f9661c-21ea-46ba-b915-be0d00d99e17_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.dead pixel\nC.noise\nD.color distortion", "answer": "C"}
{"id": "af08fc2e-be8b-467e-9b4b-cf8af4668d46", "image_1": "Perception/paired/af08fc2e-be8b-467e-9b4b-cf8af4668d46_0.png", "image_2": "Perception/paired/af08fc2e-be8b-467e-9b4b-cf8af4668d46_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.noise\nB.No distortion\nC.missing tiles\nD.haze", "answer": "A"}
{"id": "3273d9ee-87da-46d0-bb53-e523c8642a63", "image_1": "Perception/paired/3273d9ee-87da-46d0-bb53-e523c8642a63_0.png", "image_2": "Perception/paired/3273d9ee-87da-46d0-bb53-e523c8642a63_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.dead pixel\nC.image compression\nD.image stretching", "answer": "A"}
{"id": "229cb6d5-e823-44c2-9719-c903029c8ee1", "image_1": "Perception/paired/229cb6d5-e823-44c2-9719-c903029c8ee1_0.png", "image_2": "Perception/paired/229cb6d5-e823-44c2-9719-c903029c8ee1_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "368abcf3-cdf3-41f8-8e8d-5049128ad756", "image_1": "Perception/paired/368abcf3-cdf3-41f8-8e8d-5049128ad756_0.png", "image_2": "Perception/paired/368abcf3-cdf3-41f8-8e8d-5049128ad756_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.color distortion\nB.image compression\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "5f23241f-afaa-4f74-ba5d-14d35ed1506b", "image_1": "Perception/paired/5f23241f-afaa-4f74-ba5d-14d35ed1506b_0.png", "image_2": "Perception/paired/5f23241f-afaa-4f74-ba5d-14d35ed1506b_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.blur\nB.No distortion\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "ada5bd90-d3a3-4f11-bd38-485d50deba98", "image_1": "Perception/paired/ada5bd90-d3a3-4f11-bd38-485d50deba98_0.png", "image_2": "Perception/paired/ada5bd90-d3a3-4f11-bd38-485d50deba98_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "650ba893-aa40-4566-92c0-2169765c765a", "image_1": "Perception/paired/650ba893-aa40-4566-92c0-2169765c765a_0.png", "image_2": "Perception/paired/650ba893-aa40-4566-92c0-2169765c765a_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.cloud\nB.noise\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "99531180-ab82-49d7-999a-5c8ce9745da1", "image_1": "Perception/paired/99531180-ab82-49d7-999a-5c8ce9745da1_0.png", "image_2": "Perception/paired/99531180-ab82-49d7-999a-5c8ce9745da1_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.cloud\nC.No distortion\nD.noise", "answer": "D"}
{"id": "b7fe777c-8528-45cd-896f-a83e372a7673", "image_1": "Perception/paired/b7fe777c-8528-45cd-896f-a83e372a7673_0.png", "image_2": "Perception/paired/b7fe777c-8528-45cd-896f-a83e372a7673_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.color distortion\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "f0e9523a-7f41-4a18-9dcd-46d31066b837", "image_1": "Perception/paired/f0e9523a-7f41-4a18-9dcd-46d31066b837_0.png", "image_2": "Perception/paired/f0e9523a-7f41-4a18-9dcd-46d31066b837_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.No distortion\nC.haze\nD.cloud", "answer": "A"}
{"id": "fa961100-aca2-4539-b868-721eaeab5046", "image_1": "Perception/paired/fa961100-aca2-4539-b868-721eaeab5046_0.png", "image_2": "Perception/paired/fa961100-aca2-4539-b868-721eaeab5046_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "1f044b1a-d571-4ba1-89bf-70d660ecda85", "image_1": "Perception/paired/1f044b1a-d571-4ba1-89bf-70d660ecda85_0.png", "image_2": "Perception/paired/1f044b1a-d571-4ba1-89bf-70d660ecda85_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.noise\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "4e6fc36e-e639-48b1-8af5-ce8b7e7f7fd8", "image_1": "Perception/paired/4e6fc36e-e639-48b1-8af5-ce8b7e7f7fd8_0.png", "image_2": "Perception/paired/4e6fc36e-e639-48b1-8af5-ce8b7e7f7fd8_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "4fb14a8d-ed7c-4eda-af79-e5d80e1cfb44", "image_1": "Perception/paired/4fb14a8d-ed7c-4eda-af79-e5d80e1cfb44_0.png", "image_2": "Perception/paired/4fb14a8d-ed7c-4eda-af79-e5d80e1cfb44_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.dead pixel\nB.blur\nC.noise\nD.image compression", "answer": "C"}
{"id": "fd97263e-496e-438d-b4e5-7b95686be708", "image_1": "Perception/paired/fd97263e-496e-438d-b4e5-7b95686be708_0.png", "image_2": "Perception/paired/fd97263e-496e-438d-b4e5-7b95686be708_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.blur\nB.color distortion\nC.noise\nD.haze", "answer": "C"}
{"id": "f7b5b8a0-4406-4610-9346-44ef341a13bd", "image_1": "Perception/paired/f7b5b8a0-4406-4610-9346-44ef341a13bd_0.png", "image_2": "Perception/paired/f7b5b8a0-4406-4610-9346-44ef341a13bd_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.noise\nC.haze\nD.blur", "answer": "B"}
{"id": "9b9f3c88-b674-4206-a655-027cb7f3a3d0", "image_1": "Perception/paired/9b9f3c88-b674-4206-a655-027cb7f3a3d0_0.png", "image_2": "Perception/paired/9b9f3c88-b674-4206-a655-027cb7f3a3d0_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.haze\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "3def74db-0cc3-4220-858f-ececd4074efd", "image_1": "Perception/paired/3def74db-0cc3-4220-858f-ececd4074efd_0.png", "image_2": "Perception/paired/3def74db-0cc3-4220-858f-ececd4074efd_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.dead pixel\nB.cloud\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "d53f2716-ece5-46b7-93cc-f50b2f1842b1", "image_1": "Perception/paired/d53f2716-ece5-46b7-93cc-f50b2f1842b1_0.png", "image_2": "Perception/paired/d53f2716-ece5-46b7-93cc-f50b2f1842b1_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "059d829f-3e58-4cf0-86e0-5e1258ecf269", "image_1": "Perception/paired/059d829f-3e58-4cf0-86e0-5e1258ecf269_0.png", "image_2": "Perception/paired/059d829f-3e58-4cf0-86e0-5e1258ecf269_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.noise\nC.blur\nD.dead pixel", "answer": "B"}
{"id": "ea581840-8c1f-41d6-b43a-ca2a8783626f", "image_1": "Perception/paired/ea581840-8c1f-41d6-b43a-ca2a8783626f_0.png", "image_2": "Perception/paired/ea581840-8c1f-41d6-b43a-ca2a8783626f_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.image compression\nC.image stretching\nD.noise", "answer": "D"}
{"id": "9716b40a-1b4e-4fcf-b235-88081fd5cc01", "image_1": "Perception/paired/9716b40a-1b4e-4fcf-b235-88081fd5cc01_0.png", "image_2": "Perception/paired/9716b40a-1b4e-4fcf-b235-88081fd5cc01_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.haze", "answer": "C"}
{"id": "a1d17888-cf5e-4b0e-b8f3-38b9dff0e8ca", "image_1": "Perception/paired/a1d17888-cf5e-4b0e-b8f3-38b9dff0e8ca_0.png", "image_2": "Perception/paired/a1d17888-cf5e-4b0e-b8f3-38b9dff0e8ca_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.cloud\nB.blur\nC.image stretching\nD.noise", "answer": "D"}
{"id": "7d316ceb-c422-4f74-b2cb-d79bb0ef6372", "image_1": "Perception/paired/7d316ceb-c422-4f74-b2cb-d79bb0ef6372_0.png", "image_2": "Perception/paired/7d316ceb-c422-4f74-b2cb-d79bb0ef6372_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.cloud\nB.color distortion\nC.noise\nD.image stretching", "answer": "C"}
{"id": "cf839618-eef2-42ac-8b74-f8da45116320", "image_1": "Perception/paired/cf839618-eef2-42ac-8b74-f8da45116320_0.png", "image_2": "Perception/paired/cf839618-eef2-42ac-8b74-f8da45116320_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.No distortion\nC.haze\nD.image compression", "answer": "B"}
{"id": "d3f02c34-59dd-4a26-aedd-6893196b5480", "image_1": "Perception/paired/d3f02c34-59dd-4a26-aedd-6893196b5480_0.png", "image_2": "Perception/paired/d3f02c34-59dd-4a26-aedd-6893196b5480_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.blur\nB.noise\nC.image stretching\nD.No distortion", "answer": "B"}
{"id": "1b484a19-c6d9-4ef3-8b33-c1624615fd09", "image_1": "Perception/paired/1b484a19-c6d9-4ef3-8b33-c1624615fd09_0.png", "image_2": "Perception/paired/1b484a19-c6d9-4ef3-8b33-c1624615fd09_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.blur\nB.No distortion\nC.noise\nD.haze", "answer": "C"}
{"id": "c0c94c88-c517-4881-979e-b72162a33644", "image_1": "Perception/paired/c0c94c88-c517-4881-979e-b72162a33644_0.png", "image_2": "Perception/paired/c0c94c88-c517-4881-979e-b72162a33644_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.No distortion\nB.noise\nC.image stretching\nD.haze", "answer": "B"}
{"id": "b41cdd60-e758-46f9-b223-4e84071a098c", "image_1": "Perception/paired/b41cdd60-e758-46f9-b223-4e84071a098c_0.png", "image_2": "Perception/paired/b41cdd60-e758-46f9-b223-4e84071a098c_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.noise\nB.haze\nC.missing tiles\nD.cloud", "answer": "A"}
{"id": "a7b9f4a6-ce0e-4632-9947-0e29e1adacf8", "image_1": "Perception/paired/a7b9f4a6-ce0e-4632-9947-0e29e1adacf8_0.png", "image_2": "Perception/paired/a7b9f4a6-ce0e-4632-9947-0e29e1adacf8_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.missing tiles\nB.blur\nC.cloud\nD.noise", "answer": "D"}
{"id": "7b37b385-373b-4fff-83de-7c0d95c94911", "image_1": "Perception/paired/7b37b385-373b-4fff-83de-7c0d95c94911_0.png", "image_2": "Perception/paired/7b37b385-373b-4fff-83de-7c0d95c94911_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.dead pixel\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "89450b7f-bbf4-4460-8834-4823488103e4", "image_1": "Perception/paired/89450b7f-bbf4-4460-8834-4823488103e4_0.png", "image_2": "Perception/paired/89450b7f-bbf4-4460-8834-4823488103e4_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.haze\nB.cloud\nC.image stretching\nD.noise", "answer": "D"}
{"id": "289e318e-e829-4ee3-83ba-a6b92f36a680", "image_1": "Perception/paired/289e318e-e829-4ee3-83ba-a6b92f36a680_0.png", "image_2": "Perception/paired/289e318e-e829-4ee3-83ba-a6b92f36a680_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.No distortion\nB.image compression\nC.color distortion\nD.noise", "answer": "D"}
{"id": "21ef3183-d232-4f88-afa4-d9ef2ea6264c", "image_1": "Perception/paired/21ef3183-d232-4f88-afa4-d9ef2ea6264c_0.png", "image_2": "Perception/paired/21ef3183-d232-4f88-afa4-d9ef2ea6264c_1.png", "question": "Identify the main distortion introduced between the two images.\nA.color distortion\nB.noise\nC.blur\nD.cloud", "answer": "B"}
{"id": "87e6face-7c84-4842-91d1-b98f2a21b356", "image_1": "Perception/paired/87e6face-7c84-4842-91d1-b98f2a21b356_0.png", "image_2": "Perception/paired/87e6face-7c84-4842-91d1-b98f2a21b356_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.blur\nB.noise\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "f12b06cb-43ef-4974-b91a-af55d458bf3e", "image_1": "Perception/paired/f12b06cb-43ef-4974-b91a-af55d458bf3e_0.png", "image_2": "Perception/paired/f12b06cb-43ef-4974-b91a-af55d458bf3e_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.noise\nB.cloud\nC.color distortion\nD.haze", "answer": "A"}
{"id": "8b9cb066-4d06-4624-b5dc-24adb0cae739", "image_1": "Perception/paired/8b9cb066-4d06-4624-b5dc-24adb0cae739_0.png", "image_2": "Perception/paired/8b9cb066-4d06-4624-b5dc-24adb0cae739_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.blur\nB.cloud\nC.noise\nD.color distortion", "answer": "C"}
{"id": "dd2588a3-5f8d-4565-92d5-9fc58fe05c97", "image_1": "Perception/paired/dd2588a3-5f8d-4565-92d5-9fc58fe05c97_0.png", "image_2": "Perception/paired/dd2588a3-5f8d-4565-92d5-9fc58fe05c97_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.noise\nB.No distortion\nC.image compression\nD.blur", "answer": "A"}
{"id": "68048b47-9377-4d39-a48e-4fecbdba1fd3", "image_1": "Perception/paired/68048b47-9377-4d39-a48e-4fecbdba1fd3_0.png", "image_2": "Perception/paired/68048b47-9377-4d39-a48e-4fecbdba1fd3_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.color distortion\nB.noise\nC.missing tiles\nD.haze", "answer": "B"}
{"id": "799d6c11-a064-4a7a-af70-5f42e8ec94de", "image_1": "Perception/paired/799d6c11-a064-4a7a-af70-5f42e8ec94de_0.png", "image_2": "Perception/paired/799d6c11-a064-4a7a-af70-5f42e8ec94de_1.png", "question": "Identify the main distortion introduced between the two images.\nA.noise\nB.image compression\nC.blur\nD.missing tiles", "answer": "A"}
{"id": "0350fd24-6204-4a7a-9b0c-2315b351996b", "image_1": "Perception/paired/0350fd24-6204-4a7a-9b0c-2315b351996b_0.png", "image_2": "Perception/paired/0350fd24-6204-4a7a-9b0c-2315b351996b_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.dead pixel\nB.image stretching\nC.noise\nD.image compression", "answer": "C"}
{"id": "efe5da71-72de-4678-8897-fdb08d308fb3", "image_1": "Perception/paired/efe5da71-72de-4678-8897-fdb08d308fb3_0.png", "image_2": "Perception/paired/efe5da71-72de-4678-8897-fdb08d308fb3_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.No distortion\nB.cloud\nC.noise\nD.image stretching", "answer": "C"}
{"id": "d807729c-d323-471b-b604-9f76bd051ca6", "image_1": "Perception/paired/d807729c-d323-471b-b604-9f76bd051ca6_0.png", "image_2": "Perception/paired/d807729c-d323-471b-b604-9f76bd051ca6_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.haze\nB.image stretching\nC.color distortion\nD.noise", "answer": "D"}
{"id": "22ab43e2-3ac7-4ef9-86f0-bb3183e32a9d", "image_1": "Perception/paired/22ab43e2-3ac7-4ef9-86f0-bb3183e32a9d_0.png", "image_2": "Perception/paired/22ab43e2-3ac7-4ef9-86f0-bb3183e32a9d_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.blur\nB.image stretching\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "3549a732-e1e8-4560-b4b7-3ffb4adb3d95", "image_1": "Perception/paired/3549a732-e1e8-4560-b4b7-3ffb4adb3d95_0.png", "image_2": "Perception/paired/3549a732-e1e8-4560-b4b7-3ffb4adb3d95_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.No distortion\nB.blur\nC.image stretching\nD.haze", "answer": "A"}
{"id": "6271ca7a-64d4-48c2-8237-b18cf9ceaf0d", "image_1": "Perception/paired/6271ca7a-64d4-48c2-8237-b18cf9ceaf0d_0.png", "image_2": "Perception/paired/6271ca7a-64d4-48c2-8237-b18cf9ceaf0d_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.haze\nB.image stretching\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "8f2ca35c-3fd6-4e5d-a3f6-7f2480475fb1", "image_1": "Perception/paired/8f2ca35c-3fd6-4e5d-a3f6-7f2480475fb1_0.png", "image_2": "Perception/paired/8f2ca35c-3fd6-4e5d-a3f6-7f2480475fb1_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.haze\nB.missing tiles\nC.cloud\nD.noise", "answer": "D"}
{"id": "1a9cb6d8-36d8-4220-8d78-13daa4d8a2a9", "image_1": "Perception/paired/1a9cb6d8-36d8-4220-8d78-13daa4d8a2a9_0.png", "image_2": "Perception/paired/1a9cb6d8-36d8-4220-8d78-13daa4d8a2a9_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.noise\nB.haze\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "0b040877-687e-446f-a0da-5d956690f875", "image_1": "Perception/paired/0b040877-687e-446f-a0da-5d956690f875_0.png", "image_2": "Perception/paired/0b040877-687e-446f-a0da-5d956690f875_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.image stretching\nB.noise\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "ea34b98e-a21e-4e57-95de-41e5a027531c", "image_1": "Perception/paired/ea34b98e-a21e-4e57-95de-41e5a027531c_0.png", "image_2": "Perception/paired/ea34b98e-a21e-4e57-95de-41e5a027531c_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.noise\nB.No distortion\nC.haze\nD.image compression", "answer": "A"}
{"id": "dc09cddf-17dc-4ff5-ab87-497a2ef96ea0", "image_1": "Perception/paired/dc09cddf-17dc-4ff5-ab87-497a2ef96ea0_0.png", "image_2": "Perception/paired/dc09cddf-17dc-4ff5-ab87-497a2ef96ea0_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.noise\nC.No distortion\nD.dead pixel", "answer": "B"}
{"id": "70ee018c-a496-4a7c-bd1d-9cc6542b76fc", "image_1": "Perception/paired/70ee018c-a496-4a7c-bd1d-9cc6542b76fc_0.png", "image_2": "Perception/paired/70ee018c-a496-4a7c-bd1d-9cc6542b76fc_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.No distortion\nB.cloud\nC.noise\nD.image compression", "answer": "A"}
{"id": "11f1b005-0d73-4add-a23d-db3e030bfd44", "image_1": "Perception/paired/11f1b005-0d73-4add-a23d-db3e030bfd44_0.png", "image_2": "Perception/paired/11f1b005-0d73-4add-a23d-db3e030bfd44_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.No distortion\nB.image stretching\nC.missing tiles\nD.noise", "answer": "D"}
{"id": "a724b979-0c00-45e1-ad51-e6489a07bc03", "image_1": "Perception/paired/a724b979-0c00-45e1-ad51-e6489a07bc03_0.png", "image_2": "Perception/paired/a724b979-0c00-45e1-ad51-e6489a07bc03_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.cloud\nB.No distortion\nC.noise\nD.blur", "answer": "C"}
{"id": "4f503e97-c050-45c7-bff9-e497845832fc", "image_1": "Perception/paired/4f503e97-c050-45c7-bff9-e497845832fc_0.png", "image_2": "Perception/paired/4f503e97-c050-45c7-bff9-e497845832fc_1.png", "question": "Identify the main distortion introduced between the two images.\nA.image compression\nB.dead pixel\nC.noise\nD.color distortion", "answer": "C"}
{"id": "0091a0c2-e162-40f0-a55c-4d7096a8eda8", "image_1": "Perception/paired/0091a0c2-e162-40f0-a55c-4d7096a8eda8_0.png", "image_2": "Perception/paired/0091a0c2-e162-40f0-a55c-4d7096a8eda8_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.No distortion\nB.image compression\nC.haze\nD.color distortion", "answer": "A"}
{"id": "8285e01b-aa15-4298-af41-746d143054c8", "image_1": "Perception/paired/8285e01b-aa15-4298-af41-746d143054c8_0.png", "image_2": "Perception/paired/8285e01b-aa15-4298-af41-746d143054c8_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.dead pixel\nC.image compression\nD.image stretching", "answer": "A"}
{"id": "4b4a8907-2670-4774-8293-25bd87cc5ab1", "image_1": "Perception/paired/4b4a8907-2670-4774-8293-25bd87cc5ab1_0.png", "image_2": "Perception/paired/4b4a8907-2670-4774-8293-25bd87cc5ab1_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.noise\nB.haze\nC.dead pixel\nD.cloud", "answer": "A"}
{"id": "01d5c52d-8daa-47dc-b36f-f0f37020b245", "image_1": "Perception/paired/01d5c52d-8daa-47dc-b36f-f0f37020b245_0.png", "image_2": "Perception/paired/01d5c52d-8daa-47dc-b36f-f0f37020b245_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.haze\nB.No distortion\nC.noise\nD.cloud", "answer": "C"}
{"id": "b47ab887-fa38-4aa5-97bd-1a871b76db87", "image_1": "Perception/paired/b47ab887-fa38-4aa5-97bd-1a871b76db87_0.png", "image_2": "Perception/paired/b47ab887-fa38-4aa5-97bd-1a871b76db87_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.blur\nB.No distortion\nC.image stretching\nD.dead pixel", "answer": "B"}
{"id": "15e0cf5b-86b9-4e98-bbb9-fab4d4e628e7", "image_1": "Perception/paired/15e0cf5b-86b9-4e98-bbb9-fab4d4e628e7_0.png", "image_2": "Perception/paired/15e0cf5b-86b9-4e98-bbb9-fab4d4e628e7_1.png", "question": "Which distortion most clearly appears in the degraded image?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "d38e7ada-5f0d-4d46-8245-9c75d7b411f6", "image_1": "Perception/paired/d38e7ada-5f0d-4d46-8245-9c75d7b411f6_0.png", "image_2": "Perception/paired/d38e7ada-5f0d-4d46-8245-9c75d7b411f6_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.missing tiles\nB.No distortion\nC.noise\nD.image stretching", "answer": "B"}
{"id": "757d893f-4f42-461b-920f-78bae848ce6a", "image_1": "Perception/paired/757d893f-4f42-461b-920f-78bae848ce6a_0.png", "image_2": "Perception/paired/757d893f-4f42-461b-920f-78bae848ce6a_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.missing tiles\nB.cloud\nC.No distortion\nD.noise", "answer": "D"}
{"id": "b8253efc-d74c-486d-8fef-a01223183461", "image_1": "Perception/paired/b8253efc-d74c-486d-8fef-a01223183461_0.png", "image_2": "Perception/paired/b8253efc-d74c-486d-8fef-a01223183461_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.No distortion\nB.haze\nC.noise\nD.color distortion", "answer": "C"}
{"id": "1d4a5ef6-89eb-4830-a090-f8c306257a04", "image_1": "Perception/paired/1d4a5ef6-89eb-4830-a090-f8c306257a04_0.png", "image_2": "Perception/paired/1d4a5ef6-89eb-4830-a090-f8c306257a04_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.noise\nB.No distortion\nC.haze\nD.cloud", "answer": "A"}
{"id": "60eb3172-bb12-47a7-b487-9fe63806ee3c", "image_1": "Perception/paired/60eb3172-bb12-47a7-b487-9fe63806ee3c_0.png", "image_2": "Perception/paired/60eb3172-bb12-47a7-b487-9fe63806ee3c_1.png", "question": "Identify the main distortion introduced between the two images.\nA.haze\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "d56c8ad1-21c3-49ec-97c8-90f225b2087c", "image_1": "Perception/paired/d56c8ad1-21c3-49ec-97c8-90f225b2087c_0.png", "image_2": "Perception/paired/d56c8ad1-21c3-49ec-97c8-90f225b2087c_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.image stretching\nB.noise\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "4ff3d19a-5992-4ae9-9d7a-01382225aeb3", "image_1": "Perception/paired/4ff3d19a-5992-4ae9-9d7a-01382225aeb3_0.png", "image_2": "Perception/paired/4ff3d19a-5992-4ae9-9d7a-01382225aeb3_1.png", "question": "Comparing Image 1 (reference) and Image 2 (degraded), what distortion best explains the difference?\nA.image stretching\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "7e47f428-ef31-4a99-8d34-2ab37ee2cff0", "image_1": "Perception/paired/7e47f428-ef31-4a99-8d34-2ab37ee2cff0_0.png", "image_2": "Perception/paired/7e47f428-ef31-4a99-8d34-2ab37ee2cff0_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.dead pixel\nB.blur\nC.noise\nD.image compression", "answer": "C"}
{"id": "ead12ada-7af6-4031-8234-5bc910083e88", "image_1": "Perception/paired/ead12ada-7af6-4031-8234-5bc910083e88_0.png", "image_2": "Perception/paired/ead12ada-7af6-4031-8234-5bc910083e88_1.png", "question": "What artifact has been applied to Image 2 when compared to Image 1?\nA.cloud\nB.dead pixel\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "a1381cdd-aa23-470f-80b9-f3533485c0ed", "image_1": "Perception/paired/a1381cdd-aa23-470f-80b9-f3533485c0ed_0.png", "image_2": "Perception/paired/a1381cdd-aa23-470f-80b9-f3533485c0ed_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.haze\nB.No distortion\nC.color distortion\nD.cloud", "answer": "B"}
{"id": "a91678b8-5818-49ff-9b2c-d97ad0ca32fc", "image_1": "Perception/paired/a91678b8-5818-49ff-9b2c-d97ad0ca32fc_0.png", "image_2": "Perception/paired/a91678b8-5818-49ff-9b2c-d97ad0ca32fc_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.image stretching\nB.haze\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "744b921b-ab1d-431a-93ad-6bda09a0456f", "image_1": "Perception/paired/744b921b-ab1d-431a-93ad-6bda09a0456f_0.png", "image_2": "Perception/paired/744b921b-ab1d-431a-93ad-6bda09a0456f_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.color distortion\nB.blur\nC.noise\nD.No distortion", "answer": "C"}
{"id": "c90b56f2-d7e5-4baf-8eca-e157d02f75c1", "image_1": "Perception/paired/c90b56f2-d7e5-4baf-8eca-e157d02f75c1_0.png", "image_2": "Perception/paired/c90b56f2-d7e5-4baf-8eca-e157d02f75c1_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "3a361986-de0d-4f8e-8720-f6a466c5222e", "image_1": "Perception/paired/3a361986-de0d-4f8e-8720-f6a466c5222e_0.png", "image_2": "Perception/paired/3a361986-de0d-4f8e-8720-f6a466c5222e_1.png", "question": "Based on the paired images, what is the dominant degradation in Image 2?\nA.image compression\nB.noise\nC.blur\nD.dead pixel", "answer": "B"}
{"id": "b0be1050-098e-41b6-aad5-50d9e1ebc2dc", "image_1": "Perception/paired/b0be1050-098e-41b6-aad5-50d9e1ebc2dc_0.png", "image_2": "Perception/paired/b0be1050-098e-41b6-aad5-50d9e1ebc2dc_1.png", "question": "Identify the main distortion introduced between the two images.\nA.blur\nB.image compression\nC.image stretching\nD.noise", "answer": "D"}
{"id": "e57b0e69-153e-4d2d-b5ce-493202cecf10", "image_1": "Perception/paired/e57b0e69-153e-4d2d-b5ce-493202cecf10_0.png", "image_2": "Perception/paired/e57b0e69-153e-4d2d-b5ce-493202cecf10_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.cloud\nB.haze\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "e0e0c22e-a596-45eb-8bfd-93a0476fb896", "image_1": "Perception/paired/e0e0c22e-a596-45eb-8bfd-93a0476fb896_0.png", "image_2": "Perception/paired/e0e0c22e-a596-45eb-8bfd-93a0476fb896_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.cloud\nB.blur\nC.image stretching\nD.noise", "answer": "D"}
{"id": "6d96dd79-f902-4555-9e57-ec0a0a027331", "image_1": "Perception/paired/6d96dd79-f902-4555-9e57-ec0a0a027331_0.png", "image_2": "Perception/paired/6d96dd79-f902-4555-9e57-ec0a0a027331_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.cloud\nB.color distortion\nC.noise\nD.image stretching", "answer": "C"}
{"id": "84d8d0b3-88e5-4c9b-9411-3d1248bc5d95", "image_1": "Perception/paired/84d8d0b3-88e5-4c9b-9411-3d1248bc5d95_0.png", "image_2": "Perception/paired/84d8d0b3-88e5-4c9b-9411-3d1248bc5d95_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.dead pixel\nB.noise\nC.missing tiles\nD.No distortion", "answer": "B"}
{"id": "f4b0c90a-37e8-45da-8f8d-af1e367ad518", "image_1": "Perception/paired/f4b0c90a-37e8-45da-8f8d-af1e367ad518_0.png", "image_2": "Perception/paired/f4b0c90a-37e8-45da-8f8d-af1e367ad518_1.png", "question": "Relative to the reference image, what distortion does the degraded image exhibit most strongly?\nA.blur\nB.noise\nC.image stretching\nD.No distortion", "answer": "B"}
{"id": "973e4fd8-7c2b-4ddb-9454-190f1a89e8e3", "image_1": "Perception/paired/973e4fd8-7c2b-4ddb-9454-190f1a89e8e3_0.png", "image_2": "Perception/paired/973e4fd8-7c2b-4ddb-9454-190f1a89e8e3_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.missing tiles\nB.No distortion\nC.image stretching\nD.noise", "answer": "D"}
{"id": "6371750f-2e52-4af4-8371-487d2ab7f622", "image_1": "Perception/paired/6371750f-2e52-4af4-8371-487d2ab7f622_0.png", "image_2": "Perception/paired/6371750f-2e52-4af4-8371-487d2ab7f622_1.png", "question": "Which distortion type most likely affects Image 2 relative to Image 1?\nA.cloud\nB.noise\nC.dead pixel\nD.missing tiles", "answer": "B"}
{"id": "c8f08fef-dbae-4bc7-b458-221fe4528779", "image_1": "Perception/paired/c8f08fef-dbae-4bc7-b458-221fe4528779_0.png", "image_2": "Perception/paired/c8f08fef-dbae-4bc7-b458-221fe4528779_1.png", "question": "Looking at the two images, what artifact is primarily introduced in Image 2?\nA.color distortion\nB.blur\nC.noise\nD.dead pixel", "answer": "C"}
{"id": "2bdf7d29-f555-4940-bc24-4753f9edba54", "image_1": "Perception/paired/2bdf7d29-f555-4940-bc24-4753f9edba54_0.png", "image_2": "Perception/paired/2bdf7d29-f555-4940-bc24-4753f9edba54_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.image stretching\nB.haze\nC.noise\nD.blur", "answer": "C"}
{"id": "43677c00-6493-4b05-873b-fd2599e3a07a", "image_1": "Perception/paired/43677c00-6493-4b05-873b-fd2599e3a07a_0.png", "image_2": "Perception/paired/43677c00-6493-4b05-873b-fd2599e3a07a_1.png", "question": "Which distortion category describes the changes from Image 1 to Image 2?\nA.image stretching\nB.No distortion\nC.noise\nD.cloud", "answer": "C"}
{"id": "d948dccc-5e2b-4e6a-8d00-32af1fb8cd6d", "image_1": "Perception/paired/d948dccc-5e2b-4e6a-8d00-32af1fb8cd6d_0.png", "image_2": "Perception/paired/d948dccc-5e2b-4e6a-8d00-32af1fb8cd6d_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.noise\nB.cloud\nC.No distortion\nD.image stretching", "answer": "A"}
{"id": "a200a481-a7aa-4611-b8dd-22572aacec70", "image_1": "Perception/paired/a200a481-a7aa-4611-b8dd-22572aacec70_0.png", "image_2": "Perception/paired/a200a481-a7aa-4611-b8dd-22572aacec70_1.png", "question": "When Image 1 is treated as pristine, what distortion is visible in Image 2?\nA.image compression\nB.No distortion\nC.color distortion\nD.noise", "answer": "D"}
{"id": "14a31b71-160e-4a10-a598-57056ee14399", "image_1": "Perception/paired/14a31b71-160e-4a10-a598-57056ee14399_0.png", "image_2": "Perception/paired/14a31b71-160e-4a10-a598-57056ee14399_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.noise\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "A"}
{"id": "440db702-f05e-470e-8c5c-35254e7c07f4", "image_1": "Perception/paired/440db702-f05e-470e-8c5c-35254e7c07f4_0.png", "image_2": "Perception/paired/440db702-f05e-470e-8c5c-35254e7c07f4_1.png", "question": "What category of defect can be observed in Image 2 compared with Image 1?\nA.cloud\nB.blur\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "11776070-85e5-4b46-a26e-a20b1c6bc7d3", "image_1": "Perception/paired/11776070-85e5-4b46-a26e-a20b1c6bc7d3_0.png", "image_2": "Perception/paired/11776070-85e5-4b46-a26e-a20b1c6bc7d3_1.png", "question": "What visual defect stands out when contrasting the distorted image with its reference?\nA.noise\nB.image compression\nC.dead pixel\nD.missing tiles", "answer": "A"}
{"id": "fdeef304-73d3-4831-b86a-e03e9b4b79f7", "image_1": "Perception/paired/fdeef304-73d3-4831-b86a-e03e9b4b79f7_0.png", "image_2": "Perception/paired/fdeef304-73d3-4831-b86a-e03e9b4b79f7_1.png", "question": "What specific degradation differentiates the low-quality image from the reference?\nA.missing tiles\nB.image stretching\nC.noise\nD.dead pixel", "answer": "C"}
{"id": "8526733b-d590-4908-93a7-419a3480de95", "image_1": "Perception/paired/8526733b-d590-4908-93a7-419a3480de95_0.png", "image_2": "Perception/paired/8526733b-d590-4908-93a7-419a3480de95_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.cloud\nB.color distortion\nC.noise\nD.No distortion", "answer": "C"}
{"id": "525e1769-e410-4397-ba30-39bd6d5ab0ee", "image_1": "Perception/paired/525e1769-e410-4397-ba30-39bd6d5ab0ee_0.png", "image_2": "Perception/paired/525e1769-e410-4397-ba30-39bd6d5ab0ee_1.png", "question": "What degradation type transforms Image 1 into Image 2?\nA.image compression\nB.noise\nC.image stretching\nD.No distortion", "answer": "B"}
{"id": "4367ea1d-d12c-46c3-add4-a9ba3e5d1489", "image_1": "Perception/paired/4367ea1d-d12c-46c3-add4-a9ba3e5d1489_0.png", "image_2": "Perception/paired/4367ea1d-d12c-46c3-add4-a9ba3e5d1489_1.png", "question": "Which type of corruption is evident when comparing Image 2 against Image 1?\nA.blur\nB.image compression\nC.noise\nD.cloud", "answer": "C"}
{"id": "1b603ec1-9ce0-4dcd-b56f-0a3662e6f54d", "image_1": "Perception/paired/1b603ec1-9ce0-4dcd-b56f-0a3662e6f54d_0.png", "image_2": "Perception/paired/1b603ec1-9ce0-4dcd-b56f-0a3662e6f54d_1.png", "question": "Which distortion label best fits the difference between these paired images?\nA.noise\nB.haze\nC.image stretching\nD.dead pixel", "answer": "A"}
{"id": "845064d3-ce7c-4c80-8547-ca3cb20a01a4", "image_1": "Perception/paired/845064d3-ce7c-4c80-8547-ca3cb20a01a4_0.png", "image_2": "Perception/paired/845064d3-ce7c-4c80-8547-ca3cb20a01a4_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "7a0e1096-8c4a-4e2d-9567-529f14dd8178", "image_1": "Perception/paired/7a0e1096-8c4a-4e2d-9567-529f14dd8178_0.png", "image_2": "Perception/paired/7a0e1096-8c4a-4e2d-9567-529f14dd8178_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "fcf6d0f9-15d1-4c3b-84f1-a9ef7a36719a", "image_1": "Perception/paired/fcf6d0f9-15d1-4c3b-84f1-a9ef7a36719a_0.png", "image_2": "Perception/paired/fcf6d0f9-15d1-4c3b-84f1-a9ef7a36719a_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "152d264c-5b1e-4e8f-9691-3d9defd2706e", "image_1": "Perception/paired/152d264c-5b1e-4e8f-9691-3d9defd2706e_0.png", "image_2": "Perception/paired/152d264c-5b1e-4e8f-9691-3d9defd2706e_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "d14d5690-8080-479c-b4dd-08ce666e9d14", "image_1": "Perception/paired/d14d5690-8080-479c-b4dd-08ce666e9d14_0.png", "image_2": "Perception/paired/d14d5690-8080-479c-b4dd-08ce666e9d14_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "1e06f8be-8ec1-4e3c-8b4f-47f8174617f2", "image_1": "Perception/paired/1e06f8be-8ec1-4e3c-8b4f-47f8174617f2_0.png", "image_2": "Perception/paired/1e06f8be-8ec1-4e3c-8b4f-47f8174617f2_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "fc389e7d-555c-4b86-9e67-fb315ea4f1ad", "image_1": "Perception/paired/fc389e7d-555c-4b86-9e67-fb315ea4f1ad_0.png", "image_2": "Perception/paired/fc389e7d-555c-4b86-9e67-fb315ea4f1ad_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "d079250e-eba4-4bc4-9ca7-9ff379f399cb", "image_1": "Perception/paired/d079250e-eba4-4bc4-9ca7-9ff379f399cb_0.png", "image_2": "Perception/paired/d079250e-eba4-4bc4-9ca7-9ff379f399cb_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "236331c0-bed0-432d-835d-cc6b3fb0ac11", "image_1": "Perception/paired/236331c0-bed0-432d-835d-cc6b3fb0ac11_0.png", "image_2": "Perception/paired/236331c0-bed0-432d-835d-cc6b3fb0ac11_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "a73cbc48-0826-4673-b942-d1daf72974ab", "image_1": "Perception/paired/a73cbc48-0826-4673-b942-d1daf72974ab_0.png", "image_2": "Perception/paired/a73cbc48-0826-4673-b942-d1daf72974ab_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "4bbe9e85-30de-44fd-aa39-bb189381959c", "image_1": "Perception/paired/4bbe9e85-30de-44fd-aa39-bb189381959c_0.png", "image_2": "Perception/paired/4bbe9e85-30de-44fd-aa39-bb189381959c_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "e88bd684-dc9d-4002-94e6-dad9f14aa8a1", "image_1": "Perception/paired/e88bd684-dc9d-4002-94e6-dad9f14aa8a1_0.png", "image_2": "Perception/paired/e88bd684-dc9d-4002-94e6-dad9f14aa8a1_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "020cd3b0-70b4-4879-8789-4ca33c15cc1a", "image_1": "Perception/paired/020cd3b0-70b4-4879-8789-4ca33c15cc1a_0.png", "image_2": "Perception/paired/020cd3b0-70b4-4879-8789-4ca33c15cc1a_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "cab34acb-5e76-46f8-9e55-9504d237cfec", "image_1": "Perception/paired/cab34acb-5e76-46f8-9e55-9504d237cfec_0.png", "image_2": "Perception/paired/cab34acb-5e76-46f8-9e55-9504d237cfec_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "50f58875-7835-4d58-8f50-144c1bc9fedc", "image_1": "Perception/paired/50f58875-7835-4d58-8f50-144c1bc9fedc_0.png", "image_2": "Perception/paired/50f58875-7835-4d58-8f50-144c1bc9fedc_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "17b7dfe4-efe2-4140-a9df-c2c73d62155d", "image_1": "Perception/paired/17b7dfe4-efe2-4140-a9df-c2c73d62155d_0.png", "image_2": "Perception/paired/17b7dfe4-efe2-4140-a9df-c2c73d62155d_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "d454b540-b47f-4499-a800-c71cffb5c700", "image_1": "Perception/paired/d454b540-b47f-4499-a800-c71cffb5c700_0.png", "image_2": "Perception/paired/d454b540-b47f-4499-a800-c71cffb5c700_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "31d07c78-c5f7-4c1f-9103-82a08a42ea98", "image_1": "Perception/paired/31d07c78-c5f7-4c1f-9103-82a08a42ea98_0.png", "image_2": "Perception/paired/31d07c78-c5f7-4c1f-9103-82a08a42ea98_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "d32cad43-f555-497c-9489-44426bca81e7", "image_1": "Perception/paired/d32cad43-f555-497c-9489-44426bca81e7_0.png", "image_2": "Perception/paired/d32cad43-f555-497c-9489-44426bca81e7_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "cc8e0c3a-a186-40bc-98d5-772fbf86af1c", "image_1": "Perception/paired/cc8e0c3a-a186-40bc-98d5-772fbf86af1c_0.png", "image_2": "Perception/paired/cc8e0c3a-a186-40bc-98d5-772fbf86af1c_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "4d0d9508-ccaa-442d-860c-628a85713b26", "image_1": "Perception/paired/4d0d9508-ccaa-442d-860c-628a85713b26_0.png", "image_2": "Perception/paired/4d0d9508-ccaa-442d-860c-628a85713b26_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "2d262e46-4617-4640-b792-2adfb7e020dc", "image_1": "Perception/paired/2d262e46-4617-4640-b792-2adfb7e020dc_0.png", "image_2": "Perception/paired/2d262e46-4617-4640-b792-2adfb7e020dc_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "8931bc7a-62ce-4595-b002-4c1993542c7c", "image_1": "Perception/paired/8931bc7a-62ce-4595-b002-4c1993542c7c_0.png", "image_2": "Perception/paired/8931bc7a-62ce-4595-b002-4c1993542c7c_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "f830d610-798f-4686-9021-1700722974b1", "image_1": "Perception/paired/f830d610-798f-4686-9021-1700722974b1_0.png", "image_2": "Perception/paired/f830d610-798f-4686-9021-1700722974b1_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "56dccde9-3f6f-47b9-9558-28030e822d43", "image_1": "Perception/paired/56dccde9-3f6f-47b9-9558-28030e822d43_0.png", "image_2": "Perception/paired/56dccde9-3f6f-47b9-9558-28030e822d43_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "5dc3b8ca-c256-4e5d-a3ed-efab2ce0c751", "image_1": "Perception/paired/5dc3b8ca-c256-4e5d-a3ed-efab2ce0c751_0.png", "image_2": "Perception/paired/5dc3b8ca-c256-4e5d-a3ed-efab2ce0c751_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "73321683-62cb-4ca2-9196-704ebe12229b", "image_1": "Perception/paired/73321683-62cb-4ca2-9196-704ebe12229b_0.png", "image_2": "Perception/paired/73321683-62cb-4ca2-9196-704ebe12229b_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "84af02ff-41a9-4691-ae4c-7b22863a0d74", "image_1": "Perception/paired/84af02ff-41a9-4691-ae4c-7b22863a0d74_0.png", "image_2": "Perception/paired/84af02ff-41a9-4691-ae4c-7b22863a0d74_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "77251a80-0ab4-4f7e-9b3a-43e0501e9fac", "image_1": "Perception/paired/77251a80-0ab4-4f7e-9b3a-43e0501e9fac_0.png", "image_2": "Perception/paired/77251a80-0ab4-4f7e-9b3a-43e0501e9fac_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "88fccf72-0038-4625-bf3a-8797891cfaf3", "image_1": "Perception/paired/88fccf72-0038-4625-bf3a-8797891cfaf3_0.png", "image_2": "Perception/paired/88fccf72-0038-4625-bf3a-8797891cfaf3_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "8cd5702f-28ec-4c20-aa85-1d10d9ea22f7", "image_1": "Perception/paired/8cd5702f-28ec-4c20-aa85-1d10d9ea22f7_0.png", "image_2": "Perception/paired/8cd5702f-28ec-4c20-aa85-1d10d9ea22f7_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "1d31ca00-5a8c-4064-9347-512a6f96e1fb", "image_1": "Perception/paired/1d31ca00-5a8c-4064-9347-512a6f96e1fb_0.png", "image_2": "Perception/paired/1d31ca00-5a8c-4064-9347-512a6f96e1fb_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "3cde81f6-b605-40ef-bc14-5d80a843ee30", "image_1": "Perception/paired/3cde81f6-b605-40ef-bc14-5d80a843ee30_0.png", "image_2": "Perception/paired/3cde81f6-b605-40ef-bc14-5d80a843ee30_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "5464cd68-0939-4a61-9543-0bec83f81ad4", "image_1": "Perception/paired/5464cd68-0939-4a61-9543-0bec83f81ad4_0.png", "image_2": "Perception/paired/5464cd68-0939-4a61-9543-0bec83f81ad4_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "5a0fa03a-6a44-46c6-93b1-d421d402e605", "image_1": "Perception/paired/5a0fa03a-6a44-46c6-93b1-d421d402e605_0.png", "image_2": "Perception/paired/5a0fa03a-6a44-46c6-93b1-d421d402e605_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "93e60bee-5a2d-47a5-8389-5b73f212fceb", "image_1": "Perception/paired/93e60bee-5a2d-47a5-8389-5b73f212fceb_0.png", "image_2": "Perception/paired/93e60bee-5a2d-47a5-8389-5b73f212fceb_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "9252f236-7ea9-4de6-9f4b-1744fbf7df8d", "image_1": "Perception/paired/9252f236-7ea9-4de6-9f4b-1744fbf7df8d_0.png", "image_2": "Perception/paired/9252f236-7ea9-4de6-9f4b-1744fbf7df8d_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "2b6d963a-9c16-4628-80be-de959f443583", "image_1": "Perception/paired/2b6d963a-9c16-4628-80be-de959f443583_0.png", "image_2": "Perception/paired/2b6d963a-9c16-4628-80be-de959f443583_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "1819b0f0-3905-4e87-a28d-a63223c1d371", "image_1": "Perception/paired/1819b0f0-3905-4e87-a28d-a63223c1d371_0.png", "image_2": "Perception/paired/1819b0f0-3905-4e87-a28d-a63223c1d371_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "9d859595-67f7-4e58-ad43-2d9062b29e1d", "image_1": "Perception/paired/9d859595-67f7-4e58-ad43-2d9062b29e1d_0.png", "image_2": "Perception/paired/9d859595-67f7-4e58-ad43-2d9062b29e1d_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "a74b5382-1424-4cc2-9647-f55d2e10704f", "image_1": "Perception/paired/a74b5382-1424-4cc2-9647-f55d2e10704f_0.png", "image_2": "Perception/paired/a74b5382-1424-4cc2-9647-f55d2e10704f_1.png", "question": "Is gaussian blur the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "575ed509-8248-4a6e-8b7a-f6f172fc3142", "image_1": "Perception/paired/575ed509-8248-4a6e-8b7a-f6f172fc3142_0.png", "image_2": "Perception/paired/575ed509-8248-4a6e-8b7a-f6f172fc3142_1.png", "question": "Does Image 2 show signs of gaussian blur relative to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "207c0b50-271e-4e88-8e64-d8b99950fa63", "image_1": "Perception/paired/207c0b50-271e-4e88-8e64-d8b99950fa63_0.png", "image_2": "Perception/paired/207c0b50-271e-4e88-8e64-d8b99950fa63_1.png", "question": "Is gaussian blur apparent in this remote sensing scene (Image 2)?\nA.Yes\nB.No", "answer": "A"}
{"id": "9d80f257-f62d-4222-9d3c-dc0cb81c1138", "image_1": "Perception/paired/9d80f257-f62d-4222-9d3c-dc0cb81c1138_0.png", "image_2": "Perception/paired/9d80f257-f62d-4222-9d3c-dc0cb81c1138_1.png", "question": "Comparing to Image 1, does Image 2 contain gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "45b18351-7a62-4553-9fa5-7472d40cc4dc", "image_1": "Perception/paired/45b18351-7a62-4553-9fa5-7472d40cc4dc_0.png", "image_2": "Perception/paired/45b18351-7a62-4553-9fa5-7472d40cc4dc_1.png", "question": "Comparing to Image 1, does Image 2 contain gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "4c4a0ce9-b060-4d4f-958d-ee832fb7d980", "image_1": "Perception/paired/4c4a0ce9-b060-4d4f-958d-ee832fb7d980_0.png", "image_2": "Perception/paired/4c4a0ce9-b060-4d4f-958d-ee832fb7d980_1.png", "question": "Is gaussian blur present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "edd8671c-2ebd-4d26-a8ff-8af4db94642a", "image_1": "Perception/paired/edd8671c-2ebd-4d26-a8ff-8af4db94642a_0.png", "image_2": "Perception/paired/edd8671c-2ebd-4d26-a8ff-8af4db94642a_1.png", "question": "Is gaussian blur present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "dba5ceea-8438-49ce-8bde-292613112477", "image_1": "Perception/paired/dba5ceea-8438-49ce-8bde-292613112477_0.png", "image_2": "Perception/paired/dba5ceea-8438-49ce-8bde-292613112477_1.png", "question": "Is gaussian blur responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "13f53386-9da4-44d1-9122-cdd014cbdafa", "image_1": "Perception/paired/13f53386-9da4-44d1-9122-cdd014cbdafa_0.png", "image_2": "Perception/paired/13f53386-9da4-44d1-9122-cdd014cbdafa_1.png", "question": "Does gaussian blur affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "636525a3-858c-4744-88d2-b84735835d29", "image_1": "Perception/paired/636525a3-858c-4744-88d2-b84735835d29_0.png", "image_2": "Perception/paired/636525a3-858c-4744-88d2-b84735835d29_1.png", "question": "Is gaussian blur present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "4059f653-16fc-4ba9-8dbd-76af06bc1f23", "image_1": "Perception/paired/4059f653-16fc-4ba9-8dbd-76af06bc1f23_0.png", "image_2": "Perception/paired/4059f653-16fc-4ba9-8dbd-76af06bc1f23_1.png", "question": "Does gaussian blur lead to information loss in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "08fb40b6-4dc7-4a79-9039-e8b2d0c248ab", "image_1": "Perception/paired/08fb40b6-4dc7-4a79-9039-e8b2d0c248ab_0.png", "image_2": "Perception/paired/08fb40b6-4dc7-4a79-9039-e8b2d0c248ab_1.png", "question": "Does Image 2 exhibit gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "e6d0a06d-b58b-494c-990d-4aca3a956f80", "image_1": "Perception/paired/e6d0a06d-b58b-494c-990d-4aca3a956f80_0.png", "image_2": "Perception/paired/e6d0a06d-b58b-494c-990d-4aca3a956f80_1.png", "question": "Is gaussian blur present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "145bd78c-64ed-4f86-a99e-0e1730451770", "image_1": "Perception/paired/145bd78c-64ed-4f86-a99e-0e1730451770_0.png", "image_2": "Perception/paired/145bd78c-64ed-4f86-a99e-0e1730451770_1.png", "question": "Is gaussian blur the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "f7bcbd9c-7b40-4a9e-96cb-ecde10745216", "image_1": "Perception/paired/f7bcbd9c-7b40-4a9e-96cb-ecde10745216_0.png", "image_2": "Perception/paired/f7bcbd9c-7b40-4a9e-96cb-ecde10745216_1.png", "question": "Does Image 2 show signs of gaussian blur relative to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "66b31261-39db-48c8-b4e5-94d1eebc6466", "image_1": "Perception/paired/66b31261-39db-48c8-b4e5-94d1eebc6466_0.png", "image_2": "Perception/paired/66b31261-39db-48c8-b4e5-94d1eebc6466_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "5bb66134-8ad7-48f4-9377-0d77354fed98", "image_1": "Perception/paired/5bb66134-8ad7-48f4-9377-0d77354fed98_0.png", "image_2": "Perception/paired/5bb66134-8ad7-48f4-9377-0d77354fed98_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable motion blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "99e70a2c-8aa3-4d6d-8c07-b74cc921bf25", "image_1": "Perception/paired/99e70a2c-8aa3-4d6d-8c07-b74cc921bf25_0.png", "image_2": "Perception/paired/99e70a2c-8aa3-4d6d-8c07-b74cc921bf25_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable motion blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "ac527591-3366-4326-b2ff-1c33b8a9b2b1", "image_1": "Perception/paired/ac527591-3366-4326-b2ff-1c33b8a9b2b1_0.png", "image_2": "Perception/paired/ac527591-3366-4326-b2ff-1c33b8a9b2b1_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "160ff390-ada2-46ca-9071-8c00f88919b9", "image_1": "Perception/paired/160ff390-ada2-46ca-9071-8c00f88919b9_0.png", "image_2": "Perception/paired/160ff390-ada2-46ca-9071-8c00f88919b9_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "b5ffb379-997a-46e8-b77e-68396f11e58e", "image_1": "Perception/paired/b5ffb379-997a-46e8-b77e-68396f11e58e_0.png", "image_2": "Perception/paired/b5ffb379-997a-46e8-b77e-68396f11e58e_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "0bcbae33-e98e-425f-888a-617876673f40", "image_1": "Perception/paired/0bcbae33-e98e-425f-888a-617876673f40_0.png", "image_2": "Perception/paired/0bcbae33-e98e-425f-888a-617876673f40_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "eab13a7e-7e06-4dde-b655-de15c502a490", "image_1": "Perception/paired/eab13a7e-7e06-4dde-b655-de15c502a490_0.png", "image_2": "Perception/paired/eab13a7e-7e06-4dde-b655-de15c502a490_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "5685a66a-ea5d-47a9-b6ca-5980bd26434b", "image_1": "Perception/paired/5685a66a-ea5d-47a9-b6ca-5980bd26434b_0.png", "image_2": "Perception/paired/5685a66a-ea5d-47a9-b6ca-5980bd26434b_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "1ae8183c-7834-4222-8edc-ae7db32118d3", "image_1": "Perception/paired/1ae8183c-7834-4222-8edc-ae7db32118d3_0.png", "image_2": "Perception/paired/1ae8183c-7834-4222-8edc-ae7db32118d3_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable motion blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "3bfb5ba3-cec6-45f6-abfe-29250ad259f9", "image_1": "Perception/paired/3bfb5ba3-cec6-45f6-abfe-29250ad259f9_0.png", "image_2": "Perception/paired/3bfb5ba3-cec6-45f6-abfe-29250ad259f9_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "5281f3f2-a727-4c48-9784-91359b944a57", "image_1": "Perception/paired/5281f3f2-a727-4c48-9784-91359b944a57_0.png", "image_2": "Perception/paired/5281f3f2-a727-4c48-9784-91359b944a57_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "1c701310-5cbc-45fe-a36a-f79381577cca", "image_1": "Perception/paired/1c701310-5cbc-45fe-a36a-f79381577cca_0.png", "image_2": "Perception/paired/1c701310-5cbc-45fe-a36a-f79381577cca_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of motion blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "1ee390ba-b250-4abd-9a24-e4efbd4aaf7f", "image_1": "Perception/paired/1ee390ba-b250-4abd-9a24-e4efbd4aaf7f_0.png", "image_2": "Perception/paired/1ee390ba-b250-4abd-9a24-e4efbd4aaf7f_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable motion blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "1eb4871e-cdba-47d6-a751-2e3bc7347c1a", "image_1": "Perception/paired/1eb4871e-cdba-47d6-a751-2e3bc7347c1a_0.png", "image_2": "Perception/paired/1eb4871e-cdba-47d6-a751-2e3bc7347c1a_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of motion blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "b6be88ca-a8b2-45fe-ade5-b3b7ae0a5ebb", "image_1": "Perception/paired/b6be88ca-a8b2-45fe-ade5-b3b7ae0a5ebb_0.png", "image_2": "Perception/paired/b6be88ca-a8b2-45fe-ade5-b3b7ae0a5ebb_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "9df7e8d9-ce41-4d0b-86ca-936ff5a22a06", "image_1": "Perception/paired/9df7e8d9-ce41-4d0b-86ca-936ff5a22a06_0.png", "image_2": "Perception/paired/9df7e8d9-ce41-4d0b-86ca-936ff5a22a06_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable motion blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "466cd6f4-952b-4dc9-b18b-515014e28e3f", "image_1": "Perception/paired/466cd6f4-952b-4dc9-b18b-515014e28e3f_0.png", "image_2": "Perception/paired/466cd6f4-952b-4dc9-b18b-515014e28e3f_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable motion blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "e2ddc0c7-2dbd-4112-bf6b-dbcb3f7faa4e", "image_1": "Perception/paired/e2ddc0c7-2dbd-4112-bf6b-dbcb3f7faa4e_0.png", "image_2": "Perception/paired/e2ddc0c7-2dbd-4112-bf6b-dbcb3f7faa4e_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable motion blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "e112bc4f-18fb-450c-a45f-eb0e859fad52", "image_1": "Perception/paired/e112bc4f-18fb-450c-a45f-eb0e859fad52_0.png", "image_2": "Perception/paired/e112bc4f-18fb-450c-a45f-eb0e859fad52_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "7ea3ae96-85ec-456b-95a3-ba9dc6181bbd", "image_1": "Perception/paired/7ea3ae96-85ec-456b-95a3-ba9dc6181bbd_0.png", "image_2": "Perception/paired/7ea3ae96-85ec-456b-95a3-ba9dc6181bbd_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "9f6c97ac-edfa-4025-8d20-f51c772343d8", "image_1": "Perception/paired/9f6c97ac-edfa-4025-8d20-f51c772343d8_0.png", "image_2": "Perception/paired/9f6c97ac-edfa-4025-8d20-f51c772343d8_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of motion blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "cbaa6921-c19a-4909-881b-0a9137f0533d", "image_1": "Perception/paired/cbaa6921-c19a-4909-881b-0a9137f0533d_0.png", "image_2": "Perception/paired/cbaa6921-c19a-4909-881b-0a9137f0533d_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of motion blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "5e37bebd-1694-44ec-b0a5-d143fc672833", "image_1": "Perception/paired/5e37bebd-1694-44ec-b0a5-d143fc672833_0.png", "image_2": "Perception/paired/5e37bebd-1694-44ec-b0a5-d143fc672833_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable motion blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "e2f9c696-6582-4e4c-afc7-985ead23c95c", "image_1": "Perception/paired/e2f9c696-6582-4e4c-afc7-985ead23c95c_0.png", "image_2": "Perception/paired/e2f9c696-6582-4e4c-afc7-985ead23c95c_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of motion blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "e972b9f0-9f88-4e80-aafa-48305075ae66", "image_1": "Perception/paired/e972b9f0-9f88-4e80-aafa-48305075ae66_0.png", "image_2": "Perception/paired/e972b9f0-9f88-4e80-aafa-48305075ae66_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "00d1bfeb-09b9-4c0e-9767-d084b968c842", "image_1": "Perception/paired/00d1bfeb-09b9-4c0e-9767-d084b968c842_0.png", "image_2": "Perception/paired/00d1bfeb-09b9-4c0e-9767-d084b968c842_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "8e97e33c-ada3-432b-a08b-5327efb31783", "image_1": "Perception/paired/8e97e33c-ada3-432b-a08b-5327efb31783_0.png", "image_2": "Perception/paired/8e97e33c-ada3-432b-a08b-5327efb31783_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "fd3ffbf5-7c92-4949-bc9c-050af54e5ec6", "image_1": "Perception/paired/fd3ffbf5-7c92-4949-bc9c-050af54e5ec6_0.png", "image_2": "Perception/paired/fd3ffbf5-7c92-4949-bc9c-050af54e5ec6_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "3abac941-f19b-422d-98f3-ff4bfa26042c", "image_1": "Perception/paired/3abac941-f19b-422d-98f3-ff4bfa26042c_0.png", "image_2": "Perception/paired/3abac941-f19b-422d-98f3-ff4bfa26042c_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of motion blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "55880a01-90ab-4cf1-af43-02c77b4f0c4a", "image_1": "Perception/paired/55880a01-90ab-4cf1-af43-02c77b4f0c4a_0.png", "image_2": "Perception/paired/55880a01-90ab-4cf1-af43-02c77b4f0c4a_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "2d01ebb0-49bf-406f-b862-f79b59c3921f", "image_1": "Perception/paired/2d01ebb0-49bf-406f-b862-f79b59c3921f_0.png", "image_2": "Perception/paired/2d01ebb0-49bf-406f-b862-f79b59c3921f_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "1cea68fc-03a3-4268-bcfc-942a6525eca3", "image_1": "Perception/paired/1cea68fc-03a3-4268-bcfc-942a6525eca3_0.png", "image_2": "Perception/paired/1cea68fc-03a3-4268-bcfc-942a6525eca3_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "f7b710fe-ad38-4023-8dd7-4c4957b7fad2", "image_1": "Perception/paired/f7b710fe-ad38-4023-8dd7-4c4957b7fad2_0.png", "image_2": "Perception/paired/f7b710fe-ad38-4023-8dd7-4c4957b7fad2_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of motion blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "626c265a-9347-443f-b542-49c591d5ad96", "image_1": "Perception/paired/626c265a-9347-443f-b542-49c591d5ad96_0.png", "image_2": "Perception/paired/626c265a-9347-443f-b542-49c591d5ad96_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "681bd0b8-203f-4093-99d4-7a16ac4ae0e2", "image_1": "Perception/paired/681bd0b8-203f-4093-99d4-7a16ac4ae0e2_0.png", "image_2": "Perception/paired/681bd0b8-203f-4093-99d4-7a16ac4ae0e2_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "b39e784e-b795-40cb-a8b4-15297c42d1b0", "image_1": "Perception/paired/b39e784e-b795-40cb-a8b4-15297c42d1b0_0.png", "image_2": "Perception/paired/b39e784e-b795-40cb-a8b4-15297c42d1b0_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "baf4d975-89a8-4140-b41b-1fdb4167c76b", "image_1": "Perception/paired/baf4d975-89a8-4140-b41b-1fdb4167c76b_0.png", "image_2": "Perception/paired/baf4d975-89a8-4140-b41b-1fdb4167c76b_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable motion blur artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "b1aecb73-70ad-426e-b383-ae83c71fede3", "image_1": "Perception/paired/b1aecb73-70ad-426e-b383-ae83c71fede3_0.png", "image_2": "Perception/paired/b1aecb73-70ad-426e-b383-ae83c71fede3_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "0ac8a8df-0f37-4dea-8c85-a5a83d6e94b2", "image_1": "Perception/paired/0ac8a8df-0f37-4dea-8c85-a5a83d6e94b2_0.png", "image_2": "Perception/paired/0ac8a8df-0f37-4dea-8c85-a5a83d6e94b2_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "6ac94c86-6318-4fd5-8658-2836bd4e22a1", "image_1": "Perception/paired/6ac94c86-6318-4fd5-8658-2836bd4e22a1_0.png", "image_2": "Perception/paired/6ac94c86-6318-4fd5-8658-2836bd4e22a1_1.png", "question": "Is motion blur responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "9c76a9ec-df46-4397-966f-b73a72807ae9", "image_1": "Perception/paired/9c76a9ec-df46-4397-966f-b73a72807ae9_0.png", "image_2": "Perception/paired/9c76a9ec-df46-4397-966f-b73a72807ae9_1.png", "question": "Does Image 2 show signs of motion blur relative to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "994b55fb-3e61-40fa-9dea-34278fb63c0f", "image_1": "Perception/paired/994b55fb-3e61-40fa-9dea-34278fb63c0f_0.png", "image_2": "Perception/paired/994b55fb-3e61-40fa-9dea-34278fb63c0f_1.png", "question": "Does motion blur reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "a63b13b1-07c1-4660-9ebc-f9b93dcdf134", "image_1": "Perception/paired/a63b13b1-07c1-4660-9ebc-f9b93dcdf134_0.png", "image_2": "Perception/paired/a63b13b1-07c1-4660-9ebc-f9b93dcdf134_1.png", "question": "Comparing to Image 1, does Image 2 contain motion blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "f9d3ebd5-8dde-4153-998e-6800b215105f", "image_1": "Perception/paired/f9d3ebd5-8dde-4153-998e-6800b215105f_0.png", "image_2": "Perception/paired/f9d3ebd5-8dde-4153-998e-6800b215105f_1.png", "question": "Is motion blur present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "88b9146a-5f12-4c8c-abca-a0f0b1c2e08d", "image_1": "Perception/paired/88b9146a-5f12-4c8c-abca-a0f0b1c2e08d_0.png", "image_2": "Perception/paired/88b9146a-5f12-4c8c-abca-a0f0b1c2e08d_1.png", "question": "Is motion blur responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "2baf843a-1179-407e-880b-78322dfabb99", "image_1": "Perception/paired/2baf843a-1179-407e-880b-78322dfabb99_0.png", "image_2": "Perception/paired/2baf843a-1179-407e-880b-78322dfabb99_1.png", "question": "Is motion blur the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "da2b65b4-d5d4-48bf-a7d8-6e663d1493b2", "image_1": "Perception/paired/da2b65b4-d5d4-48bf-a7d8-6e663d1493b2_0.png", "image_2": "Perception/paired/da2b65b4-d5d4-48bf-a7d8-6e663d1493b2_1.png", "question": "Does motion blur result in missing information in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "085bf0e4-ab6c-4176-9b75-216f78196f7b", "image_1": "Perception/paired/085bf0e4-ab6c-4176-9b75-216f78196f7b_0.png", "image_2": "Perception/paired/085bf0e4-ab6c-4176-9b75-216f78196f7b_1.png", "question": "Is motion blur a dominant distortion in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "c41ad4ba-0c94-4171-979b-04d86079c70b", "image_1": "Perception/paired/c41ad4ba-0c94-4171-979b-04d86079c70b_0.png", "image_2": "Perception/paired/c41ad4ba-0c94-4171-979b-04d86079c70b_1.png", "question": "Does motion blur compromise the data integrity of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "028fe3db-d7b5-43b7-84f3-a9220dd8768e", "image_1": "Perception/paired/028fe3db-d7b5-43b7-84f3-a9220dd8768e_0.png", "image_2": "Perception/paired/028fe3db-d7b5-43b7-84f3-a9220dd8768e_1.png", "question": "Is Image 2 impacted by motion blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "7883239a-e723-4c84-adb3-254a2417df53", "image_1": "Perception/paired/7883239a-e723-4c84-adb3-254a2417df53_0.png", "image_2": "Perception/paired/7883239a-e723-4c84-adb3-254a2417df53_1.png", "question": "Is motion blur the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "e0c67c18-fe7d-40f3-a32a-aa2626803df8", "image_1": "Perception/paired/e0c67c18-fe7d-40f3-a32a-aa2626803df8_0.png", "image_2": "Perception/paired/e0c67c18-fe7d-40f3-a32a-aa2626803df8_1.png", "question": "Is motion blur apparent in this remote sensing scene (Image 2)?\nA.Yes\nB.No", "answer": "A"}
{"id": "57936dec-f25a-4734-b914-2ee22f9adc16", "image_1": "Perception/paired/57936dec-f25a-4734-b914-2ee22f9adc16_0.png", "image_2": "Perception/paired/57936dec-f25a-4734-b914-2ee22f9adc16_1.png", "question": "Is motion blur a dominant distortion in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "2559592d-c4ed-4f51-b97a-cd463622ed9e", "image_1": "Perception/paired/2559592d-c4ed-4f51-b97a-cd463622ed9e_0.png", "image_2": "Perception/paired/2559592d-c4ed-4f51-b97a-cd463622ed9e_1.png", "question": "Does motion blur reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "a30122f6-cfaf-4a15-a092-29cb619ebb23", "image_1": "Perception/paired/a30122f6-cfaf-4a15-a092-29cb619ebb23_0.png", "image_2": "Perception/paired/a30122f6-cfaf-4a15-a092-29cb619ebb23_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "caf4180d-01dc-4155-87ea-15b86f2d6c41", "image_1": "Perception/paired/caf4180d-01dc-4155-87ea-15b86f2d6c41_0.png", "image_2": "Perception/paired/caf4180d-01dc-4155-87ea-15b86f2d6c41_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable haze artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "398e319e-6478-44c4-a0d3-08c643a09e84", "image_1": "Perception/paired/398e319e-6478-44c4-a0d3-08c643a09e84_0.png", "image_2": "Perception/paired/398e319e-6478-44c4-a0d3-08c643a09e84_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable haze artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "3c5855ea-6c1b-4755-a2f8-c5a9574cf382", "image_1": "Perception/paired/3c5855ea-6c1b-4755-a2f8-c5a9574cf382_0.png", "image_2": "Perception/paired/3c5855ea-6c1b-4755-a2f8-c5a9574cf382_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "bf9fe5e8-6ccf-4056-8064-90894f256765", "image_1": "Perception/paired/bf9fe5e8-6ccf-4056-8064-90894f256765_0.png", "image_2": "Perception/paired/bf9fe5e8-6ccf-4056-8064-90894f256765_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "0d351d49-d128-4b79-a91c-67e6c67292d0", "image_1": "Perception/paired/0d351d49-d128-4b79-a91c-67e6c67292d0_0.png", "image_2": "Perception/paired/0d351d49-d128-4b79-a91c-67e6c67292d0_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "8ab258bc-59f9-4e89-81cf-e7b8c1fd357b", "image_1": "Perception/paired/8ab258bc-59f9-4e89-81cf-e7b8c1fd357b_0.png", "image_2": "Perception/paired/8ab258bc-59f9-4e89-81cf-e7b8c1fd357b_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "1379eb59-5219-402d-9030-a8d0606a7541", "image_1": "Perception/paired/1379eb59-5219-402d-9030-a8d0606a7541_0.png", "image_2": "Perception/paired/1379eb59-5219-402d-9030-a8d0606a7541_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "6332f13e-ea28-4121-9f35-416d60c1b19a", "image_1": "Perception/paired/6332f13e-ea28-4121-9f35-416d60c1b19a_0.png", "image_2": "Perception/paired/6332f13e-ea28-4121-9f35-416d60c1b19a_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "762c8e68-1311-48c2-a782-13fba20f9d96", "image_1": "Perception/paired/762c8e68-1311-48c2-a782-13fba20f9d96_0.png", "image_2": "Perception/paired/762c8e68-1311-48c2-a782-13fba20f9d96_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable haze artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "9a09906a-e87f-4a53-af0a-93dd1c41cdd7", "image_1": "Perception/paired/9a09906a-e87f-4a53-af0a-93dd1c41cdd7_0.png", "image_2": "Perception/paired/9a09906a-e87f-4a53-af0a-93dd1c41cdd7_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "5992e7fa-d925-4c3b-83ac-9e3435ba3276", "image_1": "Perception/paired/5992e7fa-d925-4c3b-83ac-9e3435ba3276_0.png", "image_2": "Perception/paired/5992e7fa-d925-4c3b-83ac-9e3435ba3276_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "14014a2d-d7e8-4947-b71d-cbb1da096c04", "image_1": "Perception/paired/14014a2d-d7e8-4947-b71d-cbb1da096c04_0.png", "image_2": "Perception/paired/14014a2d-d7e8-4947-b71d-cbb1da096c04_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "36cc6e1d-1a85-4164-806a-8ccfa769dfdb", "image_1": "Perception/paired/36cc6e1d-1a85-4164-806a-8ccfa769dfdb_0.png", "image_2": "Perception/paired/36cc6e1d-1a85-4164-806a-8ccfa769dfdb_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable haze artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "66cad577-5271-42b8-8fe9-4b496add775d", "image_1": "Perception/paired/66cad577-5271-42b8-8fe9-4b496add775d_0.png", "image_2": "Perception/paired/66cad577-5271-42b8-8fe9-4b496add775d_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "b462536d-2f57-47c4-81cd-fc227fea8ac4", "image_1": "Perception/paired/b462536d-2f57-47c4-81cd-fc227fea8ac4_0.png", "image_2": "Perception/paired/b462536d-2f57-47c4-81cd-fc227fea8ac4_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "d2f3c5ff-02c1-4514-b20f-ee41f1afcac0", "image_1": "Perception/paired/d2f3c5ff-02c1-4514-b20f-ee41f1afcac0_0.png", "image_2": "Perception/paired/d2f3c5ff-02c1-4514-b20f-ee41f1afcac0_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable haze artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "5e1f95c8-dc08-445d-821f-96ccf83ef1ba", "image_1": "Perception/paired/5e1f95c8-dc08-445d-821f-96ccf83ef1ba_0.png", "image_2": "Perception/paired/5e1f95c8-dc08-445d-821f-96ccf83ef1ba_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable haze artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "457cd271-e65c-49d5-8455-323862d41b1a", "image_1": "Perception/paired/457cd271-e65c-49d5-8455-323862d41b1a_0.png", "image_2": "Perception/paired/457cd271-e65c-49d5-8455-323862d41b1a_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable haze artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "9cfa3d23-b02a-490c-8f62-39f9c8965a87", "image_1": "Perception/paired/9cfa3d23-b02a-490c-8f62-39f9c8965a87_0.png", "image_2": "Perception/paired/9cfa3d23-b02a-490c-8f62-39f9c8965a87_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "373d8cfa-a810-4705-9b60-c02e3de120a7", "image_1": "Perception/paired/373d8cfa-a810-4705-9b60-c02e3de120a7_0.png", "image_2": "Perception/paired/373d8cfa-a810-4705-9b60-c02e3de120a7_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "4286d0c6-b664-4737-bc09-d9e993bdacde", "image_1": "Perception/paired/4286d0c6-b664-4737-bc09-d9e993bdacde_0.png", "image_2": "Perception/paired/4286d0c6-b664-4737-bc09-d9e993bdacde_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "1fee6558-48f6-4f0b-933f-cf9c896f2391", "image_1": "Perception/paired/1fee6558-48f6-4f0b-933f-cf9c896f2391_0.png", "image_2": "Perception/paired/1fee6558-48f6-4f0b-933f-cf9c896f2391_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "fc326ef7-25c9-4209-ab30-ef19ed78f514", "image_1": "Perception/paired/fc326ef7-25c9-4209-ab30-ef19ed78f514_0.png", "image_2": "Perception/paired/fc326ef7-25c9-4209-ab30-ef19ed78f514_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable haze artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "c06f551c-5db6-4630-b0a7-85aacf00d645", "image_1": "Perception/paired/c06f551c-5db6-4630-b0a7-85aacf00d645_0.png", "image_2": "Perception/paired/c06f551c-5db6-4630-b0a7-85aacf00d645_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "cc6c316f-3a38-428b-8f34-c9f0cfcc1c24", "image_1": "Perception/paired/cc6c316f-3a38-428b-8f34-c9f0cfcc1c24_0.png", "image_2": "Perception/paired/cc6c316f-3a38-428b-8f34-c9f0cfcc1c24_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "3ff4eb19-0551-4265-a936-ad08b73356a5", "image_1": "Perception/paired/3ff4eb19-0551-4265-a936-ad08b73356a5_0.png", "image_2": "Perception/paired/3ff4eb19-0551-4265-a936-ad08b73356a5_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "73f5028d-90de-4fa8-938d-9b1f7c0d4306", "image_1": "Perception/paired/73f5028d-90de-4fa8-938d-9b1f7c0d4306_0.png", "image_2": "Perception/paired/73f5028d-90de-4fa8-938d-9b1f7c0d4306_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "07f3b021-2dc6-4cff-82c6-159d29bec301", "image_1": "Perception/paired/07f3b021-2dc6-4cff-82c6-159d29bec301_0.png", "image_2": "Perception/paired/07f3b021-2dc6-4cff-82c6-159d29bec301_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "08e24fc0-7b9c-4ee3-9024-cf4ac605aaf7", "image_1": "Perception/paired/08e24fc0-7b9c-4ee3-9024-cf4ac605aaf7_0.png", "image_2": "Perception/paired/08e24fc0-7b9c-4ee3-9024-cf4ac605aaf7_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "4df6626c-b5ae-47a8-ba28-a043647858a6", "image_1": "Perception/paired/4df6626c-b5ae-47a8-ba28-a043647858a6_0.png", "image_2": "Perception/paired/4df6626c-b5ae-47a8-ba28-a043647858a6_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "7359ae84-dee9-495c-a67c-7c49e273e084", "image_1": "Perception/paired/7359ae84-dee9-495c-a67c-7c49e273e084_0.png", "image_2": "Perception/paired/7359ae84-dee9-495c-a67c-7c49e273e084_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "ac97fd68-87d0-4184-b71d-f2360da2bdaa", "image_1": "Perception/paired/ac97fd68-87d0-4184-b71d-f2360da2bdaa_0.png", "image_2": "Perception/paired/ac97fd68-87d0-4184-b71d-f2360da2bdaa_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "d6d6b92f-94dd-49f6-bb27-1008956f478c", "image_1": "Perception/paired/d6d6b92f-94dd-49f6-bb27-1008956f478c_0.png", "image_2": "Perception/paired/d6d6b92f-94dd-49f6-bb27-1008956f478c_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "699ccc4c-0cbe-4fb2-8034-ab1cd5f4abbc", "image_1": "Perception/paired/699ccc4c-0cbe-4fb2-8034-ab1cd5f4abbc_0.png", "image_2": "Perception/paired/699ccc4c-0cbe-4fb2-8034-ab1cd5f4abbc_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "5a7eafc9-412d-44f3-9bb1-f4a363fdecfe", "image_1": "Perception/paired/5a7eafc9-412d-44f3-9bb1-f4a363fdecfe_0.png", "image_2": "Perception/paired/5a7eafc9-412d-44f3-9bb1-f4a363fdecfe_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "e7f8b9b1-b1b1-4e44-8b4c-3fb3ac49869c", "image_1": "Perception/paired/e7f8b9b1-b1b1-4e44-8b4c-3fb3ac49869c_0.png", "image_2": "Perception/paired/e7f8b9b1-b1b1-4e44-8b4c-3fb3ac49869c_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "70fee941-fd41-4e3d-9bd8-edc5d8a21591", "image_1": "Perception/paired/70fee941-fd41-4e3d-9bd8-edc5d8a21591_0.png", "image_2": "Perception/paired/70fee941-fd41-4e3d-9bd8-edc5d8a21591_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable haze artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "77219b06-e76a-4525-b805-f9d5f10fb903", "image_1": "Perception/paired/77219b06-e76a-4525-b805-f9d5f10fb903_0.png", "image_2": "Perception/paired/77219b06-e76a-4525-b805-f9d5f10fb903_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "a9936b21-da15-4fd5-8ac2-a7b89fe57fe0", "image_1": "Perception/paired/a9936b21-da15-4fd5-8ac2-a7b89fe57fe0_0.png", "image_2": "Perception/paired/a9936b21-da15-4fd5-8ac2-a7b89fe57fe0_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "7d27af45-61fd-4347-a025-519de1e55c17", "image_1": "Perception/paired/7d27af45-61fd-4347-a025-519de1e55c17_0.png", "image_2": "Perception/paired/7d27af45-61fd-4347-a025-519de1e55c17_1.png", "question": "Does haze interfere with interpretation of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "b1b91ce4-c60d-485c-b0e7-c636cf791fba", "image_1": "Perception/paired/b1b91ce4-c60d-485c-b0e7-c636cf791fba_0.png", "image_2": "Perception/paired/b1b91ce4-c60d-485c-b0e7-c636cf791fba_1.png", "question": "Is haze a dominant distortion in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "a4d642ed-0d40-4dfd-b2c3-2f320c00a21e", "image_1": "Perception/paired/a4d642ed-0d40-4dfd-b2c3-2f320c00a21e_0.png", "image_2": "Perception/paired/a4d642ed-0d40-4dfd-b2c3-2f320c00a21e_1.png", "question": "Comparing to Image 1, does Image 2 contain haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "bb7ca5b4-8683-4b25-a2ff-7ca46fcc69f0", "image_1": "Perception/paired/bb7ca5b4-8683-4b25-a2ff-7ca46fcc69f0_0.png", "image_2": "Perception/paired/bb7ca5b4-8683-4b25-a2ff-7ca46fcc69f0_1.png", "question": "Is haze present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "9a689a2b-45c6-4d26-8c69-8d97f887ba10", "image_1": "Perception/paired/9a689a2b-45c6-4d26-8c69-8d97f887ba10_0.png", "image_2": "Perception/paired/9a689a2b-45c6-4d26-8c69-8d97f887ba10_1.png", "question": "Does haze lead to information loss in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "5182d1a8-1506-4c9a-bc70-93474adfbf4c", "image_1": "Perception/paired/5182d1a8-1506-4c9a-bc70-93474adfbf4c_0.png", "image_2": "Perception/paired/5182d1a8-1506-4c9a-bc70-93474adfbf4c_1.png", "question": "Does haze interfere with interpretation of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "b3d1642e-e4f6-4f75-a70d-bdc645f346aa", "image_1": "Perception/paired/b3d1642e-e4f6-4f75-a70d-bdc645f346aa_0.png", "image_2": "Perception/paired/b3d1642e-e4f6-4f75-a70d-bdc645f346aa_1.png", "question": "Is haze visible in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "7d52d4dd-ddab-4ac5-9474-f52ac531bcbe", "image_1": "Perception/paired/7d52d4dd-ddab-4ac5-9474-f52ac531bcbe_0.png", "image_2": "Perception/paired/7d52d4dd-ddab-4ac5-9474-f52ac531bcbe_1.png", "question": "Is haze present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "db2c4bcf-2a05-4342-9684-d5169e55bdab", "image_1": "Perception/paired/db2c4bcf-2a05-4342-9684-d5169e55bdab_0.png", "image_2": "Perception/paired/db2c4bcf-2a05-4342-9684-d5169e55bdab_1.png", "question": "Is haze visible in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "d312e500-a5d8-4dbf-a4f5-5ef463be7f82", "image_1": "Perception/paired/d312e500-a5d8-4dbf-a4f5-5ef463be7f82_0.png", "image_2": "Perception/paired/d312e500-a5d8-4dbf-a4f5-5ef463be7f82_1.png", "question": "Is there haze present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "963b0ce2-800d-4482-b89b-1c5a80795009", "image_1": "Perception/paired/963b0ce2-800d-4482-b89b-1c5a80795009_0.png", "image_2": "Perception/paired/963b0ce2-800d-4482-b89b-1c5a80795009_1.png", "question": "Is haze the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "067e97de-5340-4238-8b3a-61ab416ab9e2", "image_1": "Perception/paired/067e97de-5340-4238-8b3a-61ab416ab9e2_0.png", "image_2": "Perception/paired/067e97de-5340-4238-8b3a-61ab416ab9e2_1.png", "question": "Does haze obscure details in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "1a86215c-f2b8-4316-8f2c-f4b78ba3da2e", "image_1": "Perception/paired/1a86215c-f2b8-4316-8f2c-f4b78ba3da2e_0.png", "image_2": "Perception/paired/1a86215c-f2b8-4316-8f2c-f4b78ba3da2e_1.png", "question": "Does haze reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "6874f2f2-c73e-45a6-850e-2c2765e70bd6", "image_1": "Perception/paired/6874f2f2-c73e-45a6-850e-2c2765e70bd6_0.png", "image_2": "Perception/paired/6874f2f2-c73e-45a6-850e-2c2765e70bd6_1.png", "question": "Is haze present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "6f1030e9-cfc5-4b93-931d-7e4eb8742987", "image_1": "Perception/paired/6f1030e9-cfc5-4b93-931d-7e4eb8742987_0.png", "image_2": "Perception/paired/6f1030e9-cfc5-4b93-931d-7e4eb8742987_1.png", "question": "Is haze present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "c3925ef4-4e5f-4011-82fd-ace3d3f4772b", "image_1": "Perception/paired/c3925ef4-4e5f-4011-82fd-ace3d3f4772b_0.png", "image_2": "Perception/paired/c3925ef4-4e5f-4011-82fd-ace3d3f4772b_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "39c51795-e0bf-4222-8b4d-fdad4c51a11a", "image_1": "Perception/paired/39c51795-e0bf-4222-8b4d-fdad4c51a11a_0.png", "image_2": "Perception/paired/39c51795-e0bf-4222-8b4d-fdad4c51a11a_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable cloud artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "d927cbbb-c101-4353-9d2e-01f5520b9b34", "image_1": "Perception/paired/d927cbbb-c101-4353-9d2e-01f5520b9b34_0.png", "image_2": "Perception/paired/d927cbbb-c101-4353-9d2e-01f5520b9b34_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable cloud artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "37deb238-ef27-49d1-a319-590e6c9d76bd", "image_1": "Perception/paired/37deb238-ef27-49d1-a319-590e6c9d76bd_0.png", "image_2": "Perception/paired/37deb238-ef27-49d1-a319-590e6c9d76bd_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "f4a5929d-e118-42ba-83a4-e0f530930545", "image_1": "Perception/paired/f4a5929d-e118-42ba-83a4-e0f530930545_0.png", "image_2": "Perception/paired/f4a5929d-e118-42ba-83a4-e0f530930545_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "8e97bd40-71cd-4374-bc3c-1ca1ebed4782", "image_1": "Perception/paired/8e97bd40-71cd-4374-bc3c-1ca1ebed4782_0.png", "image_2": "Perception/paired/8e97bd40-71cd-4374-bc3c-1ca1ebed4782_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "bc198e0c-7465-43e3-a767-5a91a4c8c72f", "image_1": "Perception/paired/bc198e0c-7465-43e3-a767-5a91a4c8c72f_0.png", "image_2": "Perception/paired/bc198e0c-7465-43e3-a767-5a91a4c8c72f_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "3fe40fcb-e260-4d4a-9971-358f248eb8ab", "image_1": "Perception/paired/3fe40fcb-e260-4d4a-9971-358f248eb8ab_0.png", "image_2": "Perception/paired/3fe40fcb-e260-4d4a-9971-358f248eb8ab_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "462dab5a-6120-4506-826e-7c84a47ae1b5", "image_1": "Perception/paired/462dab5a-6120-4506-826e-7c84a47ae1b5_0.png", "image_2": "Perception/paired/462dab5a-6120-4506-826e-7c84a47ae1b5_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "004ff6c6-b2b8-4187-b892-68de962914b4", "image_1": "Perception/paired/004ff6c6-b2b8-4187-b892-68de962914b4_0.png", "image_2": "Perception/paired/004ff6c6-b2b8-4187-b892-68de962914b4_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable cloud artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "b2080157-8e4c-497c-98df-f16ea6bee0a2", "image_1": "Perception/paired/b2080157-8e4c-497c-98df-f16ea6bee0a2_0.png", "image_2": "Perception/paired/b2080157-8e4c-497c-98df-f16ea6bee0a2_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "9346ac32-729c-4039-8d68-b4a95e42c3a4", "image_1": "Perception/paired/9346ac32-729c-4039-8d68-b4a95e42c3a4_0.png", "image_2": "Perception/paired/9346ac32-729c-4039-8d68-b4a95e42c3a4_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "539fdf0f-886a-4b71-8a78-afa3aaba2b2d", "image_1": "Perception/paired/539fdf0f-886a-4b71-8a78-afa3aaba2b2d_0.png", "image_2": "Perception/paired/539fdf0f-886a-4b71-8a78-afa3aaba2b2d_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of cloud?\nA.Yes\nB.No", "answer": "A"}
{"id": "edc638bf-2fd3-414b-b957-66821e3911d6", "image_1": "Perception/paired/edc638bf-2fd3-414b-b957-66821e3911d6_0.png", "image_2": "Perception/paired/edc638bf-2fd3-414b-b957-66821e3911d6_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable cloud artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "f0e7f331-5f00-4030-bede-b6ac515cbd6d", "image_1": "Perception/paired/f0e7f331-5f00-4030-bede-b6ac515cbd6d_0.png", "image_2": "Perception/paired/f0e7f331-5f00-4030-bede-b6ac515cbd6d_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of cloud?\nA.Yes\nB.No", "answer": "A"}
{"id": "3fdab12a-de6f-4d4e-af48-ad6795ab09f6", "image_1": "Perception/paired/3fdab12a-de6f-4d4e-af48-ad6795ab09f6_0.png", "image_2": "Perception/paired/3fdab12a-de6f-4d4e-af48-ad6795ab09f6_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "90d64b6d-2165-44e8-8264-e82ecc96272a", "image_1": "Perception/paired/90d64b6d-2165-44e8-8264-e82ecc96272a_0.png", "image_2": "Perception/paired/90d64b6d-2165-44e8-8264-e82ecc96272a_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable cloud artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "3de509ea-c6a1-420b-8622-c189c0daa816", "image_1": "Perception/paired/3de509ea-c6a1-420b-8622-c189c0daa816_0.png", "image_2": "Perception/paired/3de509ea-c6a1-420b-8622-c189c0daa816_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable cloud artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "2486bdbb-cccb-4a08-9621-02c8ccd59d08", "image_1": "Perception/paired/2486bdbb-cccb-4a08-9621-02c8ccd59d08_0.png", "image_2": "Perception/paired/2486bdbb-cccb-4a08-9621-02c8ccd59d08_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable cloud artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "95cceccb-070e-4856-bfa6-7478bd2dd9de", "image_1": "Perception/paired/95cceccb-070e-4856-bfa6-7478bd2dd9de_0.png", "image_2": "Perception/paired/95cceccb-070e-4856-bfa6-7478bd2dd9de_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "8a43d097-6ccb-4a1b-8b85-fb5d9b90d14d", "image_1": "Perception/paired/8a43d097-6ccb-4a1b-8b85-fb5d9b90d14d_0.png", "image_2": "Perception/paired/8a43d097-6ccb-4a1b-8b85-fb5d9b90d14d_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "59c6d430-7c30-4736-b7fd-b3dd25abcc6e", "image_1": "Perception/paired/59c6d430-7c30-4736-b7fd-b3dd25abcc6e_0.png", "image_2": "Perception/paired/59c6d430-7c30-4736-b7fd-b3dd25abcc6e_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of cloud?\nA.Yes\nB.No", "answer": "A"}
{"id": "e87c4eba-6c6f-40b7-b1e6-48236e9d07ff", "image_1": "Perception/paired/e87c4eba-6c6f-40b7-b1e6-48236e9d07ff_0.png", "image_2": "Perception/paired/e87c4eba-6c6f-40b7-b1e6-48236e9d07ff_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of cloud?\nA.Yes\nB.No", "answer": "A"}
{"id": "b154b14d-5025-494a-919e-a5fb65d03f62", "image_1": "Perception/paired/b154b14d-5025-494a-919e-a5fb65d03f62_0.png", "image_2": "Perception/paired/b154b14d-5025-494a-919e-a5fb65d03f62_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable cloud artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "38df8ce9-426c-4935-9c97-291a48e9cda2", "image_1": "Perception/paired/38df8ce9-426c-4935-9c97-291a48e9cda2_0.png", "image_2": "Perception/paired/38df8ce9-426c-4935-9c97-291a48e9cda2_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of cloud?\nA.Yes\nB.No", "answer": "A"}
{"id": "833d96ee-81b2-40c7-b247-2728c2556088", "image_1": "Perception/paired/833d96ee-81b2-40c7-b247-2728c2556088_0.png", "image_2": "Perception/paired/833d96ee-81b2-40c7-b247-2728c2556088_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "b6444119-656c-460f-ba13-420a21045cc6", "image_1": "Perception/paired/b6444119-656c-460f-ba13-420a21045cc6_0.png", "image_2": "Perception/paired/b6444119-656c-460f-ba13-420a21045cc6_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "f75aeef7-cdbc-40ab-a32e-b9a040a528a9", "image_1": "Perception/paired/f75aeef7-cdbc-40ab-a32e-b9a040a528a9_0.png", "image_2": "Perception/paired/f75aeef7-cdbc-40ab-a32e-b9a040a528a9_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "6b54e123-aa3f-4103-b019-caffd0fd5017", "image_1": "Perception/paired/6b54e123-aa3f-4103-b019-caffd0fd5017_0.png", "image_2": "Perception/paired/6b54e123-aa3f-4103-b019-caffd0fd5017_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "367e859f-1569-482b-b4e4-5a7d910b3c8e", "image_1": "Perception/paired/367e859f-1569-482b-b4e4-5a7d910b3c8e_0.png", "image_2": "Perception/paired/367e859f-1569-482b-b4e4-5a7d910b3c8e_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of cloud?\nA.Yes\nB.No", "answer": "A"}
{"id": "95d828d1-3e3d-4bb5-8cbf-6c933838aed0", "image_1": "Perception/paired/95d828d1-3e3d-4bb5-8cbf-6c933838aed0_0.png", "image_2": "Perception/paired/95d828d1-3e3d-4bb5-8cbf-6c933838aed0_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "f26ae381-a2ab-4425-9896-3ac837298bd2", "image_1": "Perception/paired/f26ae381-a2ab-4425-9896-3ac837298bd2_0.png", "image_2": "Perception/paired/f26ae381-a2ab-4425-9896-3ac837298bd2_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "3c2c0cae-bbf1-4ec7-8e39-ce12734a03e0", "image_1": "Perception/paired/3c2c0cae-bbf1-4ec7-8e39-ce12734a03e0_0.png", "image_2": "Perception/paired/3c2c0cae-bbf1-4ec7-8e39-ce12734a03e0_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "8607fd1e-06af-4d67-b23c-4cf03e150380", "image_1": "Perception/paired/8607fd1e-06af-4d67-b23c-4cf03e150380_0.png", "image_2": "Perception/paired/8607fd1e-06af-4d67-b23c-4cf03e150380_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of cloud?\nA.Yes\nB.No", "answer": "A"}
{"id": "8c515c83-4102-4546-bc21-a90c9a5c8ee1", "image_1": "Perception/paired/8c515c83-4102-4546-bc21-a90c9a5c8ee1_0.png", "image_2": "Perception/paired/8c515c83-4102-4546-bc21-a90c9a5c8ee1_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "9a7f8ba9-45ae-4e6d-9d9b-e19e6a86d004", "image_1": "Perception/paired/9a7f8ba9-45ae-4e6d-9d9b-e19e6a86d004_0.png", "image_2": "Perception/paired/9a7f8ba9-45ae-4e6d-9d9b-e19e6a86d004_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "c2b1b6f7-2ab1-4fad-bc65-a1dbe3071b63", "image_1": "Perception/paired/c2b1b6f7-2ab1-4fad-bc65-a1dbe3071b63_0.png", "image_2": "Perception/paired/c2b1b6f7-2ab1-4fad-bc65-a1dbe3071b63_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "ba736a00-732d-499a-b992-19cd1354af21", "image_1": "Perception/paired/ba736a00-732d-499a-b992-19cd1354af21_0.png", "image_2": "Perception/paired/ba736a00-732d-499a-b992-19cd1354af21_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable cloud artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "68adf382-1c0a-4d2a-98be-61a3460290b5", "image_1": "Perception/paired/68adf382-1c0a-4d2a-98be-61a3460290b5_0.png", "image_2": "Perception/paired/68adf382-1c0a-4d2a-98be-61a3460290b5_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "cda5ffb3-3a5b-49fc-8b59-99498be5e43f", "image_1": "Perception/paired/cda5ffb3-3a5b-49fc-8b59-99498be5e43f_0.png", "image_2": "Perception/paired/cda5ffb3-3a5b-49fc-8b59-99498be5e43f_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "e7904762-4cde-43c3-aa59-05b1dc00ce14", "image_1": "Perception/paired/e7904762-4cde-43c3-aa59-05b1dc00ce14_0.png", "image_2": "Perception/paired/e7904762-4cde-43c3-aa59-05b1dc00ce14_1.png", "question": "Is cloud the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "9d2b8889-5fc7-422f-8c36-b4dc4763ec74", "image_1": "Perception/paired/9d2b8889-5fc7-422f-8c36-b4dc4763ec74_0.png", "image_2": "Perception/paired/9d2b8889-5fc7-422f-8c36-b4dc4763ec74_1.png", "question": "Does Image 2 show signs of cloud relative to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "e7eb2716-4683-4234-8834-1f10f13c39a6", "image_1": "Perception/paired/e7eb2716-4683-4234-8834-1f10f13c39a6_0.png", "image_2": "Perception/paired/e7eb2716-4683-4234-8834-1f10f13c39a6_1.png", "question": "Is cloud a critical issue in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "64b5601e-0295-495b-b0a7-e82a7cad1eee", "image_1": "Perception/paired/64b5601e-0295-495b-b0a7-e82a7cad1eee_0.png", "image_2": "Perception/paired/64b5601e-0295-495b-b0a7-e82a7cad1eee_1.png", "question": "Does cloud reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "6cdf19cd-a79b-4155-acb7-d40f09eca9a8", "image_1": "Perception/paired/6cdf19cd-a79b-4155-acb7-d40f09eca9a8_0.png", "image_2": "Perception/paired/6cdf19cd-a79b-4155-acb7-d40f09eca9a8_1.png", "question": "Is cloud visible in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "75e23602-3590-4b62-af0d-3586b37f8e79", "image_1": "Perception/paired/75e23602-3590-4b62-af0d-3586b37f8e79_0.png", "image_2": "Perception/paired/75e23602-3590-4b62-af0d-3586b37f8e79_1.png", "question": "Does cloud reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "8e5d73f8-e4ea-471b-b39d-c166d360a769", "image_1": "Perception/paired/8e5d73f8-e4ea-471b-b39d-c166d360a769_0.png", "image_2": "Perception/paired/8e5d73f8-e4ea-471b-b39d-c166d360a769_1.png", "question": "Is cloud a dominant distortion in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "17a20b87-f1ce-4c01-96b8-f405393636fd", "image_1": "Perception/paired/17a20b87-f1ce-4c01-96b8-f405393636fd_0.png", "image_2": "Perception/paired/17a20b87-f1ce-4c01-96b8-f405393636fd_1.png", "question": "Is cloud the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "2a749770-f754-46eb-9791-99f5bef2ef26", "image_1": "Perception/paired/2a749770-f754-46eb-9791-99f5bef2ef26_0.png", "image_2": "Perception/paired/2a749770-f754-46eb-9791-99f5bef2ef26_1.png", "question": "Is cloud the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "f2895ade-df7e-4374-a808-d0f589d837c5", "image_1": "Perception/paired/f2895ade-df7e-4374-a808-d0f589d837c5_0.png", "image_2": "Perception/paired/f2895ade-df7e-4374-a808-d0f589d837c5_1.png", "question": "Comparing to Image 1, does Image 2 contain cloud?\nA.Yes\nB.No", "answer": "A"}
{"id": "7682a585-a33b-425e-8663-f86428567d08", "image_1": "Perception/paired/7682a585-a33b-425e-8663-f86428567d08_0.png", "image_2": "Perception/paired/7682a585-a33b-425e-8663-f86428567d08_1.png", "question": "Is cloud the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "fa30bd1e-33e0-4be8-8cad-7c59db554ba9", "image_1": "Perception/paired/fa30bd1e-33e0-4be8-8cad-7c59db554ba9_0.png", "image_2": "Perception/paired/fa30bd1e-33e0-4be8-8cad-7c59db554ba9_1.png", "question": "Does Image 2 exhibit cloud?\nA.Yes\nB.No", "answer": "A"}
{"id": "a8a25bc7-6c9e-453d-973b-2d14bb366833", "image_1": "Perception/paired/a8a25bc7-6c9e-453d-973b-2d14bb366833_0.png", "image_2": "Perception/paired/a8a25bc7-6c9e-453d-973b-2d14bb366833_1.png", "question": "Is cloud responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "2b96de7d-e03a-4d93-8aef-8920f335e3fb", "image_1": "Perception/paired/2b96de7d-e03a-4d93-8aef-8920f335e3fb_0.png", "image_2": "Perception/paired/2b96de7d-e03a-4d93-8aef-8920f335e3fb_1.png", "question": "Is cloud present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "604ea9eb-b9ef-487a-a3ed-0a17c58e6f50", "image_1": "Perception/paired/604ea9eb-b9ef-487a-a3ed-0a17c58e6f50_0.png", "image_2": "Perception/paired/604ea9eb-b9ef-487a-a3ed-0a17c58e6f50_1.png", "question": "Is there cloud present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "c9489bbb-48df-4367-a6fc-4aeab0876510", "image_1": "Perception/paired/c9489bbb-48df-4367-a6fc-4aeab0876510_0.png", "image_2": "Perception/paired/c9489bbb-48df-4367-a6fc-4aeab0876510_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "866a3593-a81d-434d-ac3b-de92b3ab8316", "image_1": "Perception/paired/866a3593-a81d-434d-ac3b-de92b3ab8316_0.png", "image_2": "Perception/paired/866a3593-a81d-434d-ac3b-de92b3ab8316_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "f752d179-d3fe-412b-949d-23b67a9ed931", "image_1": "Perception/paired/f752d179-d3fe-412b-949d-23b67a9ed931_0.png", "image_2": "Perception/paired/f752d179-d3fe-412b-949d-23b67a9ed931_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "c030c7f4-5c24-41d0-aecb-10200014f6bc", "image_1": "Perception/paired/c030c7f4-5c24-41d0-aecb-10200014f6bc_0.png", "image_2": "Perception/paired/c030c7f4-5c24-41d0-aecb-10200014f6bc_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "28cf7ba8-41fd-4cb1-a4fb-96db41800bf9", "image_1": "Perception/paired/28cf7ba8-41fd-4cb1-a4fb-96db41800bf9_0.png", "image_2": "Perception/paired/28cf7ba8-41fd-4cb1-a4fb-96db41800bf9_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "e5913d21-caef-44b7-a8ea-501df723c742", "image_1": "Perception/paired/e5913d21-caef-44b7-a8ea-501df723c742_0.png", "image_2": "Perception/paired/e5913d21-caef-44b7-a8ea-501df723c742_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "c23da826-0621-4577-9858-fc6aa114558d", "image_1": "Perception/paired/c23da826-0621-4577-9858-fc6aa114558d_0.png", "image_2": "Perception/paired/c23da826-0621-4577-9858-fc6aa114558d_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "ca4a76c4-cc9a-4502-80c1-00b2a1ed04fd", "image_1": "Perception/paired/ca4a76c4-cc9a-4502-80c1-00b2a1ed04fd_0.png", "image_2": "Perception/paired/ca4a76c4-cc9a-4502-80c1-00b2a1ed04fd_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "732cb7dc-1b81-4a29-b4de-d62f56b0f762", "image_1": "Perception/paired/732cb7dc-1b81-4a29-b4de-d62f56b0f762_0.png", "image_2": "Perception/paired/732cb7dc-1b81-4a29-b4de-d62f56b0f762_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "4381b09a-7f1d-409a-80e2-5b31c2f40927", "image_1": "Perception/paired/4381b09a-7f1d-409a-80e2-5b31c2f40927_0.png", "image_2": "Perception/paired/4381b09a-7f1d-409a-80e2-5b31c2f40927_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "cb355140-eaf4-413d-9205-b623b1100397", "image_1": "Perception/paired/cb355140-eaf4-413d-9205-b623b1100397_0.png", "image_2": "Perception/paired/cb355140-eaf4-413d-9205-b623b1100397_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "2858bbb7-e949-4f4e-9397-b18c589d9ce9", "image_1": "Perception/paired/2858bbb7-e949-4f4e-9397-b18c589d9ce9_0.png", "image_2": "Perception/paired/2858bbb7-e949-4f4e-9397-b18c589d9ce9_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "c12dc3e7-f91c-43d5-ac2f-1de1b52746ba", "image_1": "Perception/paired/c12dc3e7-f91c-43d5-ac2f-1de1b52746ba_0.png", "image_2": "Perception/paired/c12dc3e7-f91c-43d5-ac2f-1de1b52746ba_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "90221f8d-c3de-4886-99e4-c27cb3f8c952", "image_1": "Perception/paired/90221f8d-c3de-4886-99e4-c27cb3f8c952_0.png", "image_2": "Perception/paired/90221f8d-c3de-4886-99e4-c27cb3f8c952_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "a6dc54a9-b72c-4f1f-8e76-23ec1c5c5f3c", "image_1": "Perception/paired/a6dc54a9-b72c-4f1f-8e76-23ec1c5c5f3c_0.png", "image_2": "Perception/paired/a6dc54a9-b72c-4f1f-8e76-23ec1c5c5f3c_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "12845cb7-3eb4-4a3f-a5d9-6b41d396dde4", "image_1": "Perception/paired/12845cb7-3eb4-4a3f-a5d9-6b41d396dde4_0.png", "image_2": "Perception/paired/12845cb7-3eb4-4a3f-a5d9-6b41d396dde4_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "5a869ae6-7a05-4db9-8101-efec2c399b1c", "image_1": "Perception/paired/5a869ae6-7a05-4db9-8101-efec2c399b1c_0.png", "image_2": "Perception/paired/5a869ae6-7a05-4db9-8101-efec2c399b1c_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "de888ced-9a5e-4853-971a-0618a84c6629", "image_1": "Perception/paired/de888ced-9a5e-4853-971a-0618a84c6629_0.png", "image_2": "Perception/paired/de888ced-9a5e-4853-971a-0618a84c6629_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "77a4708b-fff7-4fdd-9a05-f9d25ab782f9", "image_1": "Perception/paired/77a4708b-fff7-4fdd-9a05-f9d25ab782f9_0.png", "image_2": "Perception/paired/77a4708b-fff7-4fdd-9a05-f9d25ab782f9_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "d1d67ea2-d237-430d-aa4e-ad15b975da0e", "image_1": "Perception/paired/d1d67ea2-d237-430d-aa4e-ad15b975da0e_0.png", "image_2": "Perception/paired/d1d67ea2-d237-430d-aa4e-ad15b975da0e_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "8b8dc83b-d256-433d-96cd-d1104ceda963", "image_1": "Perception/paired/8b8dc83b-d256-433d-96cd-d1104ceda963_0.png", "image_2": "Perception/paired/8b8dc83b-d256-433d-96cd-d1104ceda963_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "6c312389-8081-4e45-9a6d-b33b8266673f", "image_1": "Perception/paired/6c312389-8081-4e45-9a6d-b33b8266673f_0.png", "image_2": "Perception/paired/6c312389-8081-4e45-9a6d-b33b8266673f_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "bb8cef66-1381-4ab4-9c47-6ddccb7f09ee", "image_1": "Perception/paired/bb8cef66-1381-4ab4-9c47-6ddccb7f09ee_0.png", "image_2": "Perception/paired/bb8cef66-1381-4ab4-9c47-6ddccb7f09ee_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "4a9dc31d-4199-40d4-8056-157f71500af8", "image_1": "Perception/paired/4a9dc31d-4199-40d4-8056-157f71500af8_0.png", "image_2": "Perception/paired/4a9dc31d-4199-40d4-8056-157f71500af8_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "77f647da-e690-420e-839d-97e9bdd231b5", "image_1": "Perception/paired/77f647da-e690-420e-839d-97e9bdd231b5_0.png", "image_2": "Perception/paired/77f647da-e690-420e-839d-97e9bdd231b5_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "ac7f45c5-ab11-4718-862e-76296bec431f", "image_1": "Perception/paired/ac7f45c5-ab11-4718-862e-76296bec431f_0.png", "image_2": "Perception/paired/ac7f45c5-ab11-4718-862e-76296bec431f_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "c67fb458-15d8-41d2-95b0-36c3e1f6a147", "image_1": "Perception/paired/c67fb458-15d8-41d2-95b0-36c3e1f6a147_0.png", "image_2": "Perception/paired/c67fb458-15d8-41d2-95b0-36c3e1f6a147_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "0c74ed38-5b95-49d7-9bd3-07f0b6e97671", "image_1": "Perception/paired/0c74ed38-5b95-49d7-9bd3-07f0b6e97671_0.png", "image_2": "Perception/paired/0c74ed38-5b95-49d7-9bd3-07f0b6e97671_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "00cc408c-f06a-4c03-86e5-e3a89c2f000f", "image_1": "Perception/paired/00cc408c-f06a-4c03-86e5-e3a89c2f000f_0.png", "image_2": "Perception/paired/00cc408c-f06a-4c03-86e5-e3a89c2f000f_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "08948405-ae15-4aaa-ae99-0bbc7a35ddc4", "image_1": "Perception/paired/08948405-ae15-4aaa-ae99-0bbc7a35ddc4_0.png", "image_2": "Perception/paired/08948405-ae15-4aaa-ae99-0bbc7a35ddc4_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "f878f78f-5412-4bda-bc7d-4dc7109dea24", "image_1": "Perception/paired/f878f78f-5412-4bda-bc7d-4dc7109dea24_0.png", "image_2": "Perception/paired/f878f78f-5412-4bda-bc7d-4dc7109dea24_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "eedd7a87-8eeb-48bd-a044-bb04803c2445", "image_1": "Perception/paired/eedd7a87-8eeb-48bd-a044-bb04803c2445_0.png", "image_2": "Perception/paired/eedd7a87-8eeb-48bd-a044-bb04803c2445_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "f27eadc5-d98a-4e2e-9e1b-9c241b7dd199", "image_1": "Perception/paired/f27eadc5-d98a-4e2e-9e1b-9c241b7dd199_0.png", "image_2": "Perception/paired/f27eadc5-d98a-4e2e-9e1b-9c241b7dd199_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "a035d477-b97c-46eb-b1e1-05f9c782c1a7", "image_1": "Perception/paired/a035d477-b97c-46eb-b1e1-05f9c782c1a7_0.png", "image_2": "Perception/paired/a035d477-b97c-46eb-b1e1-05f9c782c1a7_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "ae1736be-0c49-498f-9d12-93156df78d59", "image_1": "Perception/paired/ae1736be-0c49-498f-9d12-93156df78d59_0.png", "image_2": "Perception/paired/ae1736be-0c49-498f-9d12-93156df78d59_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "dbb9c5ad-7001-47ed-acb8-85d036b70583", "image_1": "Perception/paired/dbb9c5ad-7001-47ed-acb8-85d036b70583_0.png", "image_2": "Perception/paired/dbb9c5ad-7001-47ed-acb8-85d036b70583_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "46909bc4-44aa-4592-827f-c84fb162a8e7", "image_1": "Perception/paired/46909bc4-44aa-4592-827f-c84fb162a8e7_0.png", "image_2": "Perception/paired/46909bc4-44aa-4592-827f-c84fb162a8e7_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "279d6ce8-f171-41af-8ff9-c030621ebe43", "image_1": "Perception/paired/279d6ce8-f171-41af-8ff9-c030621ebe43_0.png", "image_2": "Perception/paired/279d6ce8-f171-41af-8ff9-c030621ebe43_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "3a4345e4-dbca-4812-8925-0320b28a4a8b", "image_1": "Perception/paired/3a4345e4-dbca-4812-8925-0320b28a4a8b_0.png", "image_2": "Perception/paired/3a4345e4-dbca-4812-8925-0320b28a4a8b_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "1b502be2-497f-492a-99e7-0a2712fdae56", "image_1": "Perception/paired/1b502be2-497f-492a-99e7-0a2712fdae56_0.png", "image_2": "Perception/paired/1b502be2-497f-492a-99e7-0a2712fdae56_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "d73b89eb-d928-4845-bcae-d6d50452e84b", "image_1": "Perception/paired/d73b89eb-d928-4845-bcae-d6d50452e84b_0.png", "image_2": "Perception/paired/d73b89eb-d928-4845-bcae-d6d50452e84b_1.png", "question": "Is image compression responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "ef2353a8-6ae7-4009-8eb6-e20e139cc466", "image_1": "Perception/paired/ef2353a8-6ae7-4009-8eb6-e20e139cc466_0.png", "image_2": "Perception/paired/ef2353a8-6ae7-4009-8eb6-e20e139cc466_1.png", "question": "Is image compression visible in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "2b04ffe4-14a2-4221-b85f-9062d4a65e23", "image_1": "Perception/paired/2b04ffe4-14a2-4221-b85f-9062d4a65e23_0.png", "image_2": "Perception/paired/2b04ffe4-14a2-4221-b85f-9062d4a65e23_1.png", "question": "Is image compression visible in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "6d28be4d-57d6-47d8-9015-7d2fcb13c8cd", "image_1": "Perception/paired/6d28be4d-57d6-47d8-9015-7d2fcb13c8cd_0.png", "image_2": "Perception/paired/6d28be4d-57d6-47d8-9015-7d2fcb13c8cd_1.png", "question": "Is image compression responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "b7257e87-6294-44d9-83a0-5ecfab3b8cf3", "image_1": "Perception/paired/b7257e87-6294-44d9-83a0-5ecfab3b8cf3_0.png", "image_2": "Perception/paired/b7257e87-6294-44d9-83a0-5ecfab3b8cf3_1.png", "question": "Is image compression the primary source of degradation in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "191defdb-72e3-453a-902f-2df6dcf0ec31", "image_1": "Perception/paired/191defdb-72e3-453a-902f-2df6dcf0ec31_0.png", "image_2": "Perception/paired/191defdb-72e3-453a-902f-2df6dcf0ec31_1.png", "question": "Comparing to Image 1, does Image 2 contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "90c2e5fb-a2a0-48c3-a955-44ced1873e56", "image_1": "Perception/paired/90c2e5fb-a2a0-48c3-a955-44ced1873e56_0.png", "image_2": "Perception/paired/90c2e5fb-a2a0-48c3-a955-44ced1873e56_1.png", "question": "Does Image 2 show signs of image compression relative to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "c3878cf0-c6f5-48ba-b12d-56cf3ec845b2", "image_1": "Perception/paired/c3878cf0-c6f5-48ba-b12d-56cf3ec845b2_0.png", "image_2": "Perception/paired/c3878cf0-c6f5-48ba-b12d-56cf3ec845b2_1.png", "question": "Is there image compression present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "6b54767e-f72f-47dc-b078-c7405bf543c4", "image_1": "Perception/paired/6b54767e-f72f-47dc-b078-c7405bf543c4_0.png", "image_2": "Perception/paired/6b54767e-f72f-47dc-b078-c7405bf543c4_1.png", "question": "Comparing to Image 1, does Image 2 contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "036b97c2-dd0f-4fec-b53c-95806ff26235", "image_1": "Perception/paired/036b97c2-dd0f-4fec-b53c-95806ff26235_0.png", "image_2": "Perception/paired/036b97c2-dd0f-4fec-b53c-95806ff26235_1.png", "question": "Is image compression visible in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "07e9d606-807c-45b3-b81b-088f7d397881", "image_1": "Perception/paired/07e9d606-807c-45b3-b81b-088f7d397881_0.png", "image_2": "Perception/paired/07e9d606-807c-45b3-b81b-088f7d397881_1.png", "question": "Does image compression obscure details in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "bce5ba95-3bfb-45bc-b695-0de2c47b4834", "image_1": "Perception/paired/bce5ba95-3bfb-45bc-b695-0de2c47b4834_0.png", "image_2": "Perception/paired/bce5ba95-3bfb-45bc-b695-0de2c47b4834_1.png", "question": "Does image compression lead to information loss in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "8ad9a3c8-fb46-4a6f-8091-f6528168be04", "image_1": "Perception/paired/8ad9a3c8-fb46-4a6f-8091-f6528168be04_0.png", "image_2": "Perception/paired/8ad9a3c8-fb46-4a6f-8091-f6528168be04_1.png", "question": "Comparing to Image 1, does Image 2 contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "748cabd4-613c-49aa-ad0a-5cc6c438bb14", "image_1": "Perception/paired/748cabd4-613c-49aa-ad0a-5cc6c438bb14_0.png", "image_2": "Perception/paired/748cabd4-613c-49aa-ad0a-5cc6c438bb14_1.png", "question": "Is image compression a critical issue in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "b3607d33-ba1c-4730-9f3e-d73b486d2d18", "image_1": "Perception/paired/b3607d33-ba1c-4730-9f3e-d73b486d2d18_0.png", "image_2": "Perception/paired/b3607d33-ba1c-4730-9f3e-d73b486d2d18_1.png", "question": "Is image compression apparent in this remote sensing scene (Image 2)?\nA.Yes\nB.No", "answer": "A"}
{"id": "9bc77849-dd3a-4056-94ff-4be44443812c", "image_1": "Perception/paired/9bc77849-dd3a-4056-94ff-4be44443812c_0.png", "image_2": "Perception/paired/9bc77849-dd3a-4056-94ff-4be44443812c_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "28eeebb2-922c-41a7-8de7-da92c399c001", "image_1": "Perception/paired/28eeebb2-922c-41a7-8de7-da92c399c001_0.png", "image_2": "Perception/paired/28eeebb2-922c-41a7-8de7-da92c399c001_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "255c2581-6970-48a9-856c-8125303385e3", "image_1": "Perception/paired/255c2581-6970-48a9-856c-8125303385e3_0.png", "image_2": "Perception/paired/255c2581-6970-48a9-856c-8125303385e3_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "c0e50cba-3b3e-4994-86b4-4eece59b15b0", "image_1": "Perception/paired/c0e50cba-3b3e-4994-86b4-4eece59b15b0_0.png", "image_2": "Perception/paired/c0e50cba-3b3e-4994-86b4-4eece59b15b0_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "5656001e-8cfd-441e-84ae-9ff0e8145e74", "image_1": "Perception/paired/5656001e-8cfd-441e-84ae-9ff0e8145e74_0.png", "image_2": "Perception/paired/5656001e-8cfd-441e-84ae-9ff0e8145e74_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "09da087b-da4d-469b-8ea4-b711cdd72714", "image_1": "Perception/paired/09da087b-da4d-469b-8ea4-b711cdd72714_0.png", "image_2": "Perception/paired/09da087b-da4d-469b-8ea4-b711cdd72714_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "367c4252-a739-4895-a721-1217b7498c54", "image_1": "Perception/paired/367c4252-a739-4895-a721-1217b7498c54_0.png", "image_2": "Perception/paired/367c4252-a739-4895-a721-1217b7498c54_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "74c2770d-7c15-4c55-81b3-d916447377f6", "image_1": "Perception/paired/74c2770d-7c15-4c55-81b3-d916447377f6_0.png", "image_2": "Perception/paired/74c2770d-7c15-4c55-81b3-d916447377f6_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "e80a3697-0518-415b-831d-70ca94a629eb", "image_1": "Perception/paired/e80a3697-0518-415b-831d-70ca94a629eb_0.png", "image_2": "Perception/paired/e80a3697-0518-415b-831d-70ca94a629eb_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "4392a15d-ba23-40cc-8026-b5769bc88e4e", "image_1": "Perception/paired/4392a15d-ba23-40cc-8026-b5769bc88e4e_0.png", "image_2": "Perception/paired/4392a15d-ba23-40cc-8026-b5769bc88e4e_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "2663ef6d-3850-41c9-adaf-ba6b4d10b1de", "image_1": "Perception/paired/2663ef6d-3850-41c9-adaf-ba6b4d10b1de_0.png", "image_2": "Perception/paired/2663ef6d-3850-41c9-adaf-ba6b4d10b1de_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "39f76aec-83c3-4c34-8164-6ce76d86abc5", "image_1": "Perception/paired/39f76aec-83c3-4c34-8164-6ce76d86abc5_0.png", "image_2": "Perception/paired/39f76aec-83c3-4c34-8164-6ce76d86abc5_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "c39176fb-303a-4a97-ab88-663b12f9ee13", "image_1": "Perception/paired/c39176fb-303a-4a97-ab88-663b12f9ee13_0.png", "image_2": "Perception/paired/c39176fb-303a-4a97-ab88-663b12f9ee13_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "a66a7e3f-ef93-484c-9b6b-c570ad7b0a0b", "image_1": "Perception/paired/a66a7e3f-ef93-484c-9b6b-c570ad7b0a0b_0.png", "image_2": "Perception/paired/a66a7e3f-ef93-484c-9b6b-c570ad7b0a0b_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "59495f4b-e52a-467a-8119-4f3e1fa57070", "image_1": "Perception/paired/59495f4b-e52a-467a-8119-4f3e1fa57070_0.png", "image_2": "Perception/paired/59495f4b-e52a-467a-8119-4f3e1fa57070_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "af4d7fd9-a598-486d-8250-4e77a9fe51b8", "image_1": "Perception/paired/af4d7fd9-a598-486d-8250-4e77a9fe51b8_0.png", "image_2": "Perception/paired/af4d7fd9-a598-486d-8250-4e77a9fe51b8_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "fd45132a-0889-4f82-a9b1-138221dd34ae", "image_1": "Perception/paired/fd45132a-0889-4f82-a9b1-138221dd34ae_0.png", "image_2": "Perception/paired/fd45132a-0889-4f82-a9b1-138221dd34ae_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "0a29bd75-813a-41af-9ce8-b12c9e24a5f0", "image_1": "Perception/paired/0a29bd75-813a-41af-9ce8-b12c9e24a5f0_0.png", "image_2": "Perception/paired/0a29bd75-813a-41af-9ce8-b12c9e24a5f0_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "02b38bfd-5f79-42e4-9076-985c70ee5ec2", "image_1": "Perception/paired/02b38bfd-5f79-42e4-9076-985c70ee5ec2_0.png", "image_2": "Perception/paired/02b38bfd-5f79-42e4-9076-985c70ee5ec2_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "7de1d888-98f8-4435-8868-e39ebb2c8763", "image_1": "Perception/paired/7de1d888-98f8-4435-8868-e39ebb2c8763_0.png", "image_2": "Perception/paired/7de1d888-98f8-4435-8868-e39ebb2c8763_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "084af6d0-74ca-454d-be1a-ac9f922f3d41", "image_1": "Perception/paired/084af6d0-74ca-454d-be1a-ac9f922f3d41_0.png", "image_2": "Perception/paired/084af6d0-74ca-454d-be1a-ac9f922f3d41_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "409a9659-1d43-46de-901c-0fe583bd93b0", "image_1": "Perception/paired/409a9659-1d43-46de-901c-0fe583bd93b0_0.png", "image_2": "Perception/paired/409a9659-1d43-46de-901c-0fe583bd93b0_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "f3b1657d-e12a-4894-b9e5-4aa9ba599cdb", "image_1": "Perception/paired/f3b1657d-e12a-4894-b9e5-4aa9ba599cdb_0.png", "image_2": "Perception/paired/f3b1657d-e12a-4894-b9e5-4aa9ba599cdb_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "7e101ccd-009c-42dc-9db9-2d7f378294a5", "image_1": "Perception/paired/7e101ccd-009c-42dc-9db9-2d7f378294a5_0.png", "image_2": "Perception/paired/7e101ccd-009c-42dc-9db9-2d7f378294a5_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "29137477-6de0-47b6-95f5-04e3d5503992", "image_1": "Perception/paired/29137477-6de0-47b6-95f5-04e3d5503992_0.png", "image_2": "Perception/paired/29137477-6de0-47b6-95f5-04e3d5503992_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "ea5164f9-0f8b-4da3-8047-4a1e24b2ecee", "image_1": "Perception/paired/ea5164f9-0f8b-4da3-8047-4a1e24b2ecee_0.png", "image_2": "Perception/paired/ea5164f9-0f8b-4da3-8047-4a1e24b2ecee_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "766876c7-e6eb-4b8a-b977-3cbf9b2fcb49", "image_1": "Perception/paired/766876c7-e6eb-4b8a-b977-3cbf9b2fcb49_0.png", "image_2": "Perception/paired/766876c7-e6eb-4b8a-b977-3cbf9b2fcb49_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "219f49e9-69e8-4420-b943-51a6033f774b", "image_1": "Perception/paired/219f49e9-69e8-4420-b943-51a6033f774b_0.png", "image_2": "Perception/paired/219f49e9-69e8-4420-b943-51a6033f774b_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "dbc82f6e-c0ad-46d0-84d5-9955f15ad189", "image_1": "Perception/paired/dbc82f6e-c0ad-46d0-84d5-9955f15ad189_0.png", "image_2": "Perception/paired/dbc82f6e-c0ad-46d0-84d5-9955f15ad189_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "888b6061-9f03-4b17-8ded-d899cac5b25c", "image_1": "Perception/paired/888b6061-9f03-4b17-8ded-d899cac5b25c_0.png", "image_2": "Perception/paired/888b6061-9f03-4b17-8ded-d899cac5b25c_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "2cc5e925-b802-4713-881b-7dd443579eaa", "image_1": "Perception/paired/2cc5e925-b802-4713-881b-7dd443579eaa_0.png", "image_2": "Perception/paired/2cc5e925-b802-4713-881b-7dd443579eaa_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "464dd60e-0565-46ad-aa64-165a32b82980", "image_1": "Perception/paired/464dd60e-0565-46ad-aa64-165a32b82980_0.png", "image_2": "Perception/paired/464dd60e-0565-46ad-aa64-165a32b82980_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "37694001-1c07-41d4-8d44-65de81d47358", "image_1": "Perception/paired/37694001-1c07-41d4-8d44-65de81d47358_0.png", "image_2": "Perception/paired/37694001-1c07-41d4-8d44-65de81d47358_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "94ad2c55-c85e-485d-ae31-be67feea2336", "image_1": "Perception/paired/94ad2c55-c85e-485d-ae31-be67feea2336_0.png", "image_2": "Perception/paired/94ad2c55-c85e-485d-ae31-be67feea2336_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "6763f967-0ccd-4dae-867a-8c9301b80fd0", "image_1": "Perception/paired/6763f967-0ccd-4dae-867a-8c9301b80fd0_0.png", "image_2": "Perception/paired/6763f967-0ccd-4dae-867a-8c9301b80fd0_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "ace70a26-f731-4ddc-9702-a6afc57ef486", "image_1": "Perception/paired/ace70a26-f731-4ddc-9702-a6afc57ef486_0.png", "image_2": "Perception/paired/ace70a26-f731-4ddc-9702-a6afc57ef486_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "6fefd269-302a-4f41-a23b-754a0f98c3d3", "image_1": "Perception/paired/6fefd269-302a-4f41-a23b-754a0f98c3d3_0.png", "image_2": "Perception/paired/6fefd269-302a-4f41-a23b-754a0f98c3d3_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "bb22d815-4158-439e-8e23-c79fa75d7627", "image_1": "Perception/paired/bb22d815-4158-439e-8e23-c79fa75d7627_0.png", "image_2": "Perception/paired/bb22d815-4158-439e-8e23-c79fa75d7627_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "ec67a8e3-27db-47df-ae83-901beea4f026", "image_1": "Perception/paired/ec67a8e3-27db-47df-ae83-901beea4f026_0.png", "image_2": "Perception/paired/ec67a8e3-27db-47df-ae83-901beea4f026_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "ce48eccc-cffc-47b6-b1f8-be28f261c3db", "image_1": "Perception/paired/ce48eccc-cffc-47b6-b1f8-be28f261c3db_0.png", "image_2": "Perception/paired/ce48eccc-cffc-47b6-b1f8-be28f261c3db_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "8f0d6824-1b99-4254-a155-df02cda22f40", "image_1": "Perception/paired/8f0d6824-1b99-4254-a155-df02cda22f40_0.png", "image_2": "Perception/paired/8f0d6824-1b99-4254-a155-df02cda22f40_1.png", "question": "Does image compression result in missing information in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "35fcca53-6418-40b0-a789-d2f1bb9bb083", "image_1": "Perception/paired/35fcca53-6418-40b0-a789-d2f1bb9bb083_0.png", "image_2": "Perception/paired/35fcca53-6418-40b0-a789-d2f1bb9bb083_1.png", "question": "Is image compression responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "c6940f95-54ab-4c9a-8fc9-0a840347064a", "image_1": "Perception/paired/c6940f95-54ab-4c9a-8fc9-0a840347064a_0.png", "image_2": "Perception/paired/c6940f95-54ab-4c9a-8fc9-0a840347064a_1.png", "question": "Does Image 2 exhibit image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "258af032-02f4-4870-a92c-a959e2d8de26", "image_1": "Perception/paired/258af032-02f4-4870-a92c-a959e2d8de26_0.png", "image_2": "Perception/paired/258af032-02f4-4870-a92c-a959e2d8de26_1.png", "question": "Comparing to Image 1, does Image 2 contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "92c6d84d-bbc0-489b-ab93-ad0d337ae0f2", "image_1": "Perception/paired/92c6d84d-bbc0-489b-ab93-ad0d337ae0f2_0.png", "image_2": "Perception/paired/92c6d84d-bbc0-489b-ab93-ad0d337ae0f2_1.png", "question": "Does image compression obscure details in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "7aeeee74-33fe-48ea-a4cb-53a35db15fab", "image_1": "Perception/paired/7aeeee74-33fe-48ea-a4cb-53a35db15fab_0.png", "image_2": "Perception/paired/7aeeee74-33fe-48ea-a4cb-53a35db15fab_1.png", "question": "Is image compression the primary source of degradation in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "18395ed7-ac3c-4157-ab89-15f5f7266c60", "image_1": "Perception/paired/18395ed7-ac3c-4157-ab89-15f5f7266c60_0.png", "image_2": "Perception/paired/18395ed7-ac3c-4157-ab89-15f5f7266c60_1.png", "question": "Does Image 2 show signs of image compression relative to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "aea96f7c-b51e-426d-a145-64fceb134307", "image_1": "Perception/paired/aea96f7c-b51e-426d-a145-64fceb134307_0.png", "image_2": "Perception/paired/aea96f7c-b51e-426d-a145-64fceb134307_1.png", "question": "Is image compression the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "f12bf094-5f56-4244-9b77-3462fe6329ee", "image_1": "Perception/paired/f12bf094-5f56-4244-9b77-3462fe6329ee_0.png", "image_2": "Perception/paired/f12bf094-5f56-4244-9b77-3462fe6329ee_1.png", "question": "Does image compression affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "885d1622-48b3-4fb4-89f4-751ec7f37fdc", "image_1": "Perception/paired/885d1622-48b3-4fb4-89f4-751ec7f37fdc_0.png", "image_2": "Perception/paired/885d1622-48b3-4fb4-89f4-751ec7f37fdc_1.png", "question": "Is image compression responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "607bbf0e-4083-4d2f-b333-0ed7813cc550", "image_1": "Perception/paired/607bbf0e-4083-4d2f-b333-0ed7813cc550_0.png", "image_2": "Perception/paired/607bbf0e-4083-4d2f-b333-0ed7813cc550_1.png", "question": "Does Image 2 show signs of image compression relative to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "e702f4f4-312e-4bef-a6fb-339f6ef01c16", "image_1": "Perception/paired/e702f4f4-312e-4bef-a6fb-339f6ef01c16_0.png", "image_2": "Perception/paired/e702f4f4-312e-4bef-a6fb-339f6ef01c16_1.png", "question": "Does image compression obscure details in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "79c85933-78be-4937-9e40-9fc772cdc702", "image_1": "Perception/paired/79c85933-78be-4937-9e40-9fc772cdc702_0.png", "image_2": "Perception/paired/79c85933-78be-4937-9e40-9fc772cdc702_1.png", "question": "Does Image 2 exhibit image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "98eec213-7106-443a-b418-d5cea4691343", "image_1": "Perception/paired/98eec213-7106-443a-b418-d5cea4691343_0.png", "image_2": "Perception/paired/98eec213-7106-443a-b418-d5cea4691343_1.png", "question": "Is there image compression present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "ac141dc6-6d5b-4d35-b0a8-be016b6c3e99", "image_1": "Perception/paired/ac141dc6-6d5b-4d35-b0a8-be016b6c3e99_0.png", "image_2": "Perception/paired/ac141dc6-6d5b-4d35-b0a8-be016b6c3e99_1.png", "question": "Does image compression reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "469bbf5a-1643-4897-a44e-bb49cd6130ef", "image_1": "Perception/paired/469bbf5a-1643-4897-a44e-bb49cd6130ef_0.png", "image_2": "Perception/paired/469bbf5a-1643-4897-a44e-bb49cd6130ef_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "da16f8f1-e9b8-41ed-95db-f2f41e3d4e4b", "image_1": "Perception/paired/da16f8f1-e9b8-41ed-95db-f2f41e3d4e4b_0.png", "image_2": "Perception/paired/da16f8f1-e9b8-41ed-95db-f2f41e3d4e4b_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "c912b5a0-1d63-4e30-ac4c-271c04634896", "image_1": "Perception/paired/c912b5a0-1d63-4e30-ac4c-271c04634896_0.png", "image_2": "Perception/paired/c912b5a0-1d63-4e30-ac4c-271c04634896_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "9eb38b61-4eb4-4896-9001-35430f8e4fc7", "image_1": "Perception/paired/9eb38b61-4eb4-4896-9001-35430f8e4fc7_0.png", "image_2": "Perception/paired/9eb38b61-4eb4-4896-9001-35430f8e4fc7_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "fa856524-471f-4ce0-8f32-fcd38df7229e", "image_1": "Perception/paired/fa856524-471f-4ce0-8f32-fcd38df7229e_0.png", "image_2": "Perception/paired/fa856524-471f-4ce0-8f32-fcd38df7229e_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "120d8c9f-62e1-4479-b743-5c81f120a188", "image_1": "Perception/paired/120d8c9f-62e1-4479-b743-5c81f120a188_0.png", "image_2": "Perception/paired/120d8c9f-62e1-4479-b743-5c81f120a188_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "3d769e2b-8eaa-4abe-be58-742ec7471192", "image_1": "Perception/paired/3d769e2b-8eaa-4abe-be58-742ec7471192_0.png", "image_2": "Perception/paired/3d769e2b-8eaa-4abe-be58-742ec7471192_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "20ed33a6-48ed-454e-90d1-611e19e02679", "image_1": "Perception/paired/20ed33a6-48ed-454e-90d1-611e19e02679_0.png", "image_2": "Perception/paired/20ed33a6-48ed-454e-90d1-611e19e02679_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "084fdedd-cc8c-4ddf-86b6-8fbb121fd7d8", "image_1": "Perception/paired/084fdedd-cc8c-4ddf-86b6-8fbb121fd7d8_0.png", "image_2": "Perception/paired/084fdedd-cc8c-4ddf-86b6-8fbb121fd7d8_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "b9f7d96c-e577-4014-ac06-3ac0cbd7329c", "image_1": "Perception/paired/b9f7d96c-e577-4014-ac06-3ac0cbd7329c_0.png", "image_2": "Perception/paired/b9f7d96c-e577-4014-ac06-3ac0cbd7329c_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "357d9d4e-869f-4c30-a1e1-90deeb11cf47", "image_1": "Perception/paired/357d9d4e-869f-4c30-a1e1-90deeb11cf47_0.png", "image_2": "Perception/paired/357d9d4e-869f-4c30-a1e1-90deeb11cf47_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "e6f4f768-2e3e-4e84-bbfb-f13fdea05b62", "image_1": "Perception/paired/e6f4f768-2e3e-4e84-bbfb-f13fdea05b62_0.png", "image_2": "Perception/paired/e6f4f768-2e3e-4e84-bbfb-f13fdea05b62_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "607544ce-3eb6-4b42-9ead-e835082931c5", "image_1": "Perception/paired/607544ce-3eb6-4b42-9ead-e835082931c5_0.png", "image_2": "Perception/paired/607544ce-3eb6-4b42-9ead-e835082931c5_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "cd4abf37-50cf-49b9-85b6-d6217480f773", "image_1": "Perception/paired/cd4abf37-50cf-49b9-85b6-d6217480f773_0.png", "image_2": "Perception/paired/cd4abf37-50cf-49b9-85b6-d6217480f773_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "75000285-e446-4427-ad35-4bf2e6c7b771", "image_1": "Perception/paired/75000285-e446-4427-ad35-4bf2e6c7b771_0.png", "image_2": "Perception/paired/75000285-e446-4427-ad35-4bf2e6c7b771_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "88ae895a-347e-4768-b17c-d29484c7100e", "image_1": "Perception/paired/88ae895a-347e-4768-b17c-d29484c7100e_0.png", "image_2": "Perception/paired/88ae895a-347e-4768-b17c-d29484c7100e_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "5c90030c-0865-481c-a662-d479371e5a32", "image_1": "Perception/paired/5c90030c-0865-481c-a662-d479371e5a32_0.png", "image_2": "Perception/paired/5c90030c-0865-481c-a662-d479371e5a32_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "54c914b6-a2f5-4f1f-a4b2-4599de01af23", "image_1": "Perception/paired/54c914b6-a2f5-4f1f-a4b2-4599de01af23_0.png", "image_2": "Perception/paired/54c914b6-a2f5-4f1f-a4b2-4599de01af23_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "85c73572-72af-4802-bb12-74334299fbf5", "image_1": "Perception/paired/85c73572-72af-4802-bb12-74334299fbf5_0.png", "image_2": "Perception/paired/85c73572-72af-4802-bb12-74334299fbf5_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "39d6c907-083e-47cd-982d-1b0af0166ac8", "image_1": "Perception/paired/39d6c907-083e-47cd-982d-1b0af0166ac8_0.png", "image_2": "Perception/paired/39d6c907-083e-47cd-982d-1b0af0166ac8_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "1d9cd619-1fde-444f-a927-6fd0c3a7df68", "image_1": "Perception/paired/1d9cd619-1fde-444f-a927-6fd0c3a7df68_0.png", "image_2": "Perception/paired/1d9cd619-1fde-444f-a927-6fd0c3a7df68_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "72a71dcf-2f04-46ec-b285-f38fb76789b0", "image_1": "Perception/paired/72a71dcf-2f04-46ec-b285-f38fb76789b0_0.png", "image_2": "Perception/paired/72a71dcf-2f04-46ec-b285-f38fb76789b0_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "f6ca7506-58f3-4af9-a2b5-c9d843f9036e", "image_1": "Perception/paired/f6ca7506-58f3-4af9-a2b5-c9d843f9036e_0.png", "image_2": "Perception/paired/f6ca7506-58f3-4af9-a2b5-c9d843f9036e_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "580b4258-4cd8-488d-9ee9-d2cf0ed793e4", "image_1": "Perception/paired/580b4258-4cd8-488d-9ee9-d2cf0ed793e4_0.png", "image_2": "Perception/paired/580b4258-4cd8-488d-9ee9-d2cf0ed793e4_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "ede8b3ad-e270-4582-b493-cf683bbf29e7", "image_1": "Perception/paired/ede8b3ad-e270-4582-b493-cf683bbf29e7_0.png", "image_2": "Perception/paired/ede8b3ad-e270-4582-b493-cf683bbf29e7_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "619f1798-34f0-4cbd-bb07-1abbbed6616e", "image_1": "Perception/paired/619f1798-34f0-4cbd-bb07-1abbbed6616e_0.png", "image_2": "Perception/paired/619f1798-34f0-4cbd-bb07-1abbbed6616e_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "816b2cb8-dc10-47f8-b144-f8aa66ba8851", "image_1": "Perception/paired/816b2cb8-dc10-47f8-b144-f8aa66ba8851_0.png", "image_2": "Perception/paired/816b2cb8-dc10-47f8-b144-f8aa66ba8851_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "fb9e6f00-4306-4fcc-b5fb-2d74a54cda4d", "image_1": "Perception/paired/fb9e6f00-4306-4fcc-b5fb-2d74a54cda4d_0.png", "image_2": "Perception/paired/fb9e6f00-4306-4fcc-b5fb-2d74a54cda4d_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "d2434dbf-4c1b-4db6-be22-799f193970b3", "image_1": "Perception/paired/d2434dbf-4c1b-4db6-be22-799f193970b3_0.png", "image_2": "Perception/paired/d2434dbf-4c1b-4db6-be22-799f193970b3_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "73b3dd9c-2c60-4d2a-ba82-4bdecb190189", "image_1": "Perception/paired/73b3dd9c-2c60-4d2a-ba82-4bdecb190189_0.png", "image_2": "Perception/paired/73b3dd9c-2c60-4d2a-ba82-4bdecb190189_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "b56fa146-c0bf-413b-9cd3-6f606334932b", "image_1": "Perception/paired/b56fa146-c0bf-413b-9cd3-6f606334932b_0.png", "image_2": "Perception/paired/b56fa146-c0bf-413b-9cd3-6f606334932b_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "e66f4556-f97d-47df-ba0b-b9acddf14b1e", "image_1": "Perception/paired/e66f4556-f97d-47df-ba0b-b9acddf14b1e_0.png", "image_2": "Perception/paired/e66f4556-f97d-47df-ba0b-b9acddf14b1e_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "aec8fb6c-d12d-424f-aa6f-2705ef446a40", "image_1": "Perception/paired/aec8fb6c-d12d-424f-aa6f-2705ef446a40_0.png", "image_2": "Perception/paired/aec8fb6c-d12d-424f-aa6f-2705ef446a40_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "6727a7b6-f4e1-4689-a0e3-35ecdfd915fe", "image_1": "Perception/paired/6727a7b6-f4e1-4689-a0e3-35ecdfd915fe_0.png", "image_2": "Perception/paired/6727a7b6-f4e1-4689-a0e3-35ecdfd915fe_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "56386e5c-ef47-4b5b-808a-f1f195b77202", "image_1": "Perception/paired/56386e5c-ef47-4b5b-808a-f1f195b77202_0.png", "image_2": "Perception/paired/56386e5c-ef47-4b5b-808a-f1f195b77202_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "e77097be-5744-4c08-b2cd-b4b6c3557282", "image_1": "Perception/paired/e77097be-5744-4c08-b2cd-b4b6c3557282_0.png", "image_2": "Perception/paired/e77097be-5744-4c08-b2cd-b4b6c3557282_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "302dbcda-5537-439c-a473-1d8abafda587", "image_1": "Perception/paired/302dbcda-5537-439c-a473-1d8abafda587_0.png", "image_2": "Perception/paired/302dbcda-5537-439c-a473-1d8abafda587_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "16fad7df-9731-488e-b7f4-025d7970bc0f", "image_1": "Perception/paired/16fad7df-9731-488e-b7f4-025d7970bc0f_0.png", "image_2": "Perception/paired/16fad7df-9731-488e-b7f4-025d7970bc0f_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "d7718f95-26f4-45ef-9bb1-f2f615d862d1", "image_1": "Perception/paired/d7718f95-26f4-45ef-9bb1-f2f615d862d1_0.png", "image_2": "Perception/paired/d7718f95-26f4-45ef-9bb1-f2f615d862d1_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "fae131fd-15c4-434f-90cf-be2857d2b3df", "image_1": "Perception/paired/fae131fd-15c4-434f-90cf-be2857d2b3df_0.png", "image_2": "Perception/paired/fae131fd-15c4-434f-90cf-be2857d2b3df_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "3c3d2f45-e32f-4081-af6c-65e1b59566f6", "image_1": "Perception/paired/3c3d2f45-e32f-4081-af6c-65e1b59566f6_0.png", "image_2": "Perception/paired/3c3d2f45-e32f-4081-af6c-65e1b59566f6_1.png", "question": "Does Image 2 contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "f960beb7-38b1-41d1-8fe0-c8d0851b04f1", "image_1": "Perception/paired/f960beb7-38b1-41d1-8fe0-c8d0851b04f1_0.png", "image_2": "Perception/paired/f960beb7-38b1-41d1-8fe0-c8d0851b04f1_1.png", "question": "Is image compression visible in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "df31ee80-42a6-496f-ac30-c13e313af5d1", "image_1": "Perception/paired/df31ee80-42a6-496f-ac30-c13e313af5d1_0.png", "image_2": "Perception/paired/df31ee80-42a6-496f-ac30-c13e313af5d1_1.png", "question": "Is there image compression present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "0e3610f5-3ba6-4b9a-ac44-7b9862ebaa3c", "image_1": "Perception/paired/0e3610f5-3ba6-4b9a-ac44-7b9862ebaa3c_0.png", "image_2": "Perception/paired/0e3610f5-3ba6-4b9a-ac44-7b9862ebaa3c_1.png", "question": "Is image compression visible in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "072cd371-4554-426e-89fe-7474fd815533", "image_1": "Perception/paired/072cd371-4554-426e-89fe-7474fd815533_0.png", "image_2": "Perception/paired/072cd371-4554-426e-89fe-7474fd815533_1.png", "question": "Does image compression affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "26c0e129-9cf4-4428-a1ee-3dfa83d816fb", "image_1": "Perception/paired/26c0e129-9cf4-4428-a1ee-3dfa83d816fb_0.png", "image_2": "Perception/paired/26c0e129-9cf4-4428-a1ee-3dfa83d816fb_1.png", "question": "Does image compression reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "b2509b89-984f-49f4-8ca9-1903c77b3551", "image_1": "Perception/paired/b2509b89-984f-49f4-8ca9-1903c77b3551_0.png", "image_2": "Perception/paired/b2509b89-984f-49f4-8ca9-1903c77b3551_1.png", "question": "Comparing to Image 1, does Image 2 contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "45da6f1c-dd09-4097-8c78-d092501d6fc2", "image_1": "Perception/paired/45da6f1c-dd09-4097-8c78-d092501d6fc2_0.png", "image_2": "Perception/paired/45da6f1c-dd09-4097-8c78-d092501d6fc2_1.png", "question": "Does image compression obscure details in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "38c7a667-e197-4032-a103-a76ebb2c86a8", "image_1": "Perception/paired/38c7a667-e197-4032-a103-a76ebb2c86a8_0.png", "image_2": "Perception/paired/38c7a667-e197-4032-a103-a76ebb2c86a8_1.png", "question": "Is image compression apparent in this remote sensing scene (Image 2)?\nA.Yes\nB.No", "answer": "A"}
{"id": "5ab8b1eb-ebaf-4c8e-b732-4aaea4a7e3da", "image_1": "Perception/paired/5ab8b1eb-ebaf-4c8e-b732-4aaea4a7e3da_0.png", "image_2": "Perception/paired/5ab8b1eb-ebaf-4c8e-b732-4aaea4a7e3da_1.png", "question": "Does image compression obscure details in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "31314080-6b0c-466f-b16d-4a6591684e2e", "image_1": "Perception/paired/31314080-6b0c-466f-b16d-4a6591684e2e_0.png", "image_2": "Perception/paired/31314080-6b0c-466f-b16d-4a6591684e2e_1.png", "question": "Comparing to Image 1, does Image 2 contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "35271a59-4588-439a-aacd-0e47556be16b", "image_1": "Perception/paired/35271a59-4588-439a-aacd-0e47556be16b_0.png", "image_2": "Perception/paired/35271a59-4588-439a-aacd-0e47556be16b_1.png", "question": "Does Image 2 exhibit image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "b5da7480-9551-4fab-982c-731c551f2c96", "image_1": "Perception/paired/b5da7480-9551-4fab-982c-731c551f2c96_0.png", "image_2": "Perception/paired/b5da7480-9551-4fab-982c-731c551f2c96_1.png", "question": "Is image compression present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "4f04fe38-a5ee-4a91-8d46-a4d5caa256d4", "image_1": "Perception/paired/4f04fe38-a5ee-4a91-8d46-a4d5caa256d4_0.png", "image_2": "Perception/paired/4f04fe38-a5ee-4a91-8d46-a4d5caa256d4_1.png", "question": "Does image compression obscure details in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "90acc82f-ed55-42bf-aa67-6518620d8b0b", "image_1": "Perception/paired/90acc82f-ed55-42bf-aa67-6518620d8b0b_0.png", "image_2": "Perception/paired/90acc82f-ed55-42bf-aa67-6518620d8b0b_1.png", "question": "Is image compression visible in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "d7cc2ebf-d0e5-482d-b0ad-ecd17222018f", "image_1": "Perception/paired/d7cc2ebf-d0e5-482d-b0ad-ecd17222018f_0.png", "image_2": "Perception/paired/d7cc2ebf-d0e5-482d-b0ad-ecd17222018f_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "04894579-0c43-40da-9848-05dea0b0f670", "image_1": "Perception/paired/04894579-0c43-40da-9848-05dea0b0f670_0.png", "image_2": "Perception/paired/04894579-0c43-40da-9848-05dea0b0f670_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "10a6e233-75eb-4971-82b0-333efc303758", "image_1": "Perception/paired/10a6e233-75eb-4971-82b0-333efc303758_0.png", "image_2": "Perception/paired/10a6e233-75eb-4971-82b0-333efc303758_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "14e54dd1-3aa9-4293-82e0-31774b5dc5e8", "image_1": "Perception/paired/14e54dd1-3aa9-4293-82e0-31774b5dc5e8_0.png", "image_2": "Perception/paired/14e54dd1-3aa9-4293-82e0-31774b5dc5e8_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "c3022b90-a5d6-4a60-bb71-2a89b0b43b7a", "image_1": "Perception/paired/c3022b90-a5d6-4a60-bb71-2a89b0b43b7a_0.png", "image_2": "Perception/paired/c3022b90-a5d6-4a60-bb71-2a89b0b43b7a_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "ac787c34-e3d0-4fcc-823b-4843b85b50b1", "image_1": "Perception/paired/ac787c34-e3d0-4fcc-823b-4843b85b50b1_0.png", "image_2": "Perception/paired/ac787c34-e3d0-4fcc-823b-4843b85b50b1_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "c5c9881f-21af-4aa8-a357-e9de8e6b48fc", "image_1": "Perception/paired/c5c9881f-21af-4aa8-a357-e9de8e6b48fc_0.png", "image_2": "Perception/paired/c5c9881f-21af-4aa8-a357-e9de8e6b48fc_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "0332f8af-16d7-4e48-87d2-eb1047143f47", "image_1": "Perception/paired/0332f8af-16d7-4e48-87d2-eb1047143f47_0.png", "image_2": "Perception/paired/0332f8af-16d7-4e48-87d2-eb1047143f47_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "5e6eb2fe-f4d4-43a6-bdd6-bd9a0c9fd877", "image_1": "Perception/paired/5e6eb2fe-f4d4-43a6-bdd6-bd9a0c9fd877_0.png", "image_2": "Perception/paired/5e6eb2fe-f4d4-43a6-bdd6-bd9a0c9fd877_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "18c26f0d-1ed8-4927-813a-b7a336846ae6", "image_1": "Perception/paired/18c26f0d-1ed8-4927-813a-b7a336846ae6_0.png", "image_2": "Perception/paired/18c26f0d-1ed8-4927-813a-b7a336846ae6_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "d4803609-43d8-463b-96ca-0246869d5e96", "image_1": "Perception/paired/d4803609-43d8-463b-96ca-0246869d5e96_0.png", "image_2": "Perception/paired/d4803609-43d8-463b-96ca-0246869d5e96_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "371e151f-fe69-42d1-84d3-0b50cfe1a0d9", "image_1": "Perception/paired/371e151f-fe69-42d1-84d3-0b50cfe1a0d9_0.png", "image_2": "Perception/paired/371e151f-fe69-42d1-84d3-0b50cfe1a0d9_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "114dc978-3419-40bf-a0e7-c02f5f422c90", "image_1": "Perception/paired/114dc978-3419-40bf-a0e7-c02f5f422c90_0.png", "image_2": "Perception/paired/114dc978-3419-40bf-a0e7-c02f5f422c90_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "535d8349-3d3a-44c9-acc7-7110f8f39e5b", "image_1": "Perception/paired/535d8349-3d3a-44c9-acc7-7110f8f39e5b_0.png", "image_2": "Perception/paired/535d8349-3d3a-44c9-acc7-7110f8f39e5b_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "dec86e49-fb89-4015-91e9-713adbd07d14", "image_1": "Perception/paired/dec86e49-fb89-4015-91e9-713adbd07d14_0.png", "image_2": "Perception/paired/dec86e49-fb89-4015-91e9-713adbd07d14_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "34a03147-ea77-4f21-ad97-f938a73fe28b", "image_1": "Perception/paired/34a03147-ea77-4f21-ad97-f938a73fe28b_0.png", "image_2": "Perception/paired/34a03147-ea77-4f21-ad97-f938a73fe28b_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "94a3468a-e687-4ec8-a38d-4dd0892b69aa", "image_1": "Perception/paired/94a3468a-e687-4ec8-a38d-4dd0892b69aa_0.png", "image_2": "Perception/paired/94a3468a-e687-4ec8-a38d-4dd0892b69aa_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "f9695412-5e40-41bb-9ec4-d0d4f717043c", "image_1": "Perception/paired/f9695412-5e40-41bb-9ec4-d0d4f717043c_0.png", "image_2": "Perception/paired/f9695412-5e40-41bb-9ec4-d0d4f717043c_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "d446b30e-8d6c-4bf1-a40b-3d6c01379adf", "image_1": "Perception/paired/d446b30e-8d6c-4bf1-a40b-3d6c01379adf_0.png", "image_2": "Perception/paired/d446b30e-8d6c-4bf1-a40b-3d6c01379adf_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "823e0495-766d-4c2f-9408-49c48a57d5fa", "image_1": "Perception/paired/823e0495-766d-4c2f-9408-49c48a57d5fa_0.png", "image_2": "Perception/paired/823e0495-766d-4c2f-9408-49c48a57d5fa_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "eb679380-7890-4a27-9bf7-997586da04f0", "image_1": "Perception/paired/eb679380-7890-4a27-9bf7-997586da04f0_0.png", "image_2": "Perception/paired/eb679380-7890-4a27-9bf7-997586da04f0_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "295a57f5-9b1e-4fec-b1c7-557c7d6922e5", "image_1": "Perception/paired/295a57f5-9b1e-4fec-b1c7-557c7d6922e5_0.png", "image_2": "Perception/paired/295a57f5-9b1e-4fec-b1c7-557c7d6922e5_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "840d5986-55e1-4dfe-a55f-33bac2f80777", "image_1": "Perception/paired/840d5986-55e1-4dfe-a55f-33bac2f80777_0.png", "image_2": "Perception/paired/840d5986-55e1-4dfe-a55f-33bac2f80777_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "82e07918-f0b0-4e03-a166-ac3ba4f0f439", "image_1": "Perception/paired/82e07918-f0b0-4e03-a166-ac3ba4f0f439_0.png", "image_2": "Perception/paired/82e07918-f0b0-4e03-a166-ac3ba4f0f439_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "a8d20128-231b-40b0-963f-fb91a5cb8e16", "image_1": "Perception/paired/a8d20128-231b-40b0-963f-fb91a5cb8e16_0.png", "image_2": "Perception/paired/a8d20128-231b-40b0-963f-fb91a5cb8e16_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "4bf1c1b4-8be8-42e4-b203-075d1154ab65", "image_1": "Perception/paired/4bf1c1b4-8be8-42e4-b203-075d1154ab65_0.png", "image_2": "Perception/paired/4bf1c1b4-8be8-42e4-b203-075d1154ab65_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "17da629c-6066-4a4d-8830-4f0166847fac", "image_1": "Perception/paired/17da629c-6066-4a4d-8830-4f0166847fac_0.png", "image_2": "Perception/paired/17da629c-6066-4a4d-8830-4f0166847fac_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "a18b067e-f69d-4c00-9bf2-172fab7d94a2", "image_1": "Perception/paired/a18b067e-f69d-4c00-9bf2-172fab7d94a2_0.png", "image_2": "Perception/paired/a18b067e-f69d-4c00-9bf2-172fab7d94a2_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "2ad7b3ed-0a28-4721-9d65-48a5e7bb9b4c", "image_1": "Perception/paired/2ad7b3ed-0a28-4721-9d65-48a5e7bb9b4c_0.png", "image_2": "Perception/paired/2ad7b3ed-0a28-4721-9d65-48a5e7bb9b4c_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "91725ec7-16f5-4a70-bcbc-3a62fc89bb96", "image_1": "Perception/paired/91725ec7-16f5-4a70-bcbc-3a62fc89bb96_0.png", "image_2": "Perception/paired/91725ec7-16f5-4a70-bcbc-3a62fc89bb96_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "828311ff-4c47-40f1-83d8-30e3da342ba6", "image_1": "Perception/paired/828311ff-4c47-40f1-83d8-30e3da342ba6_0.png", "image_2": "Perception/paired/828311ff-4c47-40f1-83d8-30e3da342ba6_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "1d3c809a-6b05-40b6-921d-dff6ae0a0a4a", "image_1": "Perception/paired/1d3c809a-6b05-40b6-921d-dff6ae0a0a4a_0.png", "image_2": "Perception/paired/1d3c809a-6b05-40b6-921d-dff6ae0a0a4a_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "49b74fd6-a28b-4e50-9b2e-9f0b210560a5", "image_1": "Perception/paired/49b74fd6-a28b-4e50-9b2e-9f0b210560a5_0.png", "image_2": "Perception/paired/49b74fd6-a28b-4e50-9b2e-9f0b210560a5_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "f3c3fad4-4c88-45e4-abdd-edb459cfe624", "image_1": "Perception/paired/f3c3fad4-4c88-45e4-abdd-edb459cfe624_0.png", "image_2": "Perception/paired/f3c3fad4-4c88-45e4-abdd-edb459cfe624_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "7cbb9d18-1ff2-4a14-894a-6c6d8ae6f347", "image_1": "Perception/paired/7cbb9d18-1ff2-4a14-894a-6c6d8ae6f347_0.png", "image_2": "Perception/paired/7cbb9d18-1ff2-4a14-894a-6c6d8ae6f347_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "fef01d65-53a9-456b-a4f4-7bcc25548339", "image_1": "Perception/paired/fef01d65-53a9-456b-a4f4-7bcc25548339_0.png", "image_2": "Perception/paired/fef01d65-53a9-456b-a4f4-7bcc25548339_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "0183f5e0-5dc1-44b7-8405-76193fb76523", "image_1": "Perception/paired/0183f5e0-5dc1-44b7-8405-76193fb76523_0.png", "image_2": "Perception/paired/0183f5e0-5dc1-44b7-8405-76193fb76523_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "230a6b93-a8f7-4dae-8c6f-3accabd757a4", "image_1": "Perception/paired/230a6b93-a8f7-4dae-8c6f-3accabd757a4_0.png", "image_2": "Perception/paired/230a6b93-a8f7-4dae-8c6f-3accabd757a4_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image compression artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "d2e4e07f-b81e-4c3b-a75d-8562038ed736", "image_1": "Perception/paired/d2e4e07f-b81e-4c3b-a75d-8562038ed736_0.png", "image_2": "Perception/paired/d2e4e07f-b81e-4c3b-a75d-8562038ed736_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "fc210eda-a337-48db-8f3c-7526632c6901", "image_1": "Perception/paired/fc210eda-a337-48db-8f3c-7526632c6901_0.png", "image_2": "Perception/paired/fc210eda-a337-48db-8f3c-7526632c6901_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "b0c46303-43e1-44d1-a66e-9cedf61ff07b", "image_1": "Perception/paired/b0c46303-43e1-44d1-a66e-9cedf61ff07b_0.png", "image_2": "Perception/paired/b0c46303-43e1-44d1-a66e-9cedf61ff07b_1.png", "question": "Is Image 2 impacted by image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "ad0f61aa-90ca-4a93-8a53-c1e89cb9deaa", "image_1": "Perception/paired/ad0f61aa-90ca-4a93-8a53-c1e89cb9deaa_0.png", "image_2": "Perception/paired/ad0f61aa-90ca-4a93-8a53-c1e89cb9deaa_1.png", "question": "Does Image 2 show signs of image compression relative to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "c8143f14-97f1-4f0f-8def-c742a86d8559", "image_1": "Perception/paired/c8143f14-97f1-4f0f-8def-c742a86d8559_0.png", "image_2": "Perception/paired/c8143f14-97f1-4f0f-8def-c742a86d8559_1.png", "question": "Does Image 2 contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "baa5bc52-0f9a-4097-bdd3-8f4ac4a8deea", "image_1": "Perception/paired/baa5bc52-0f9a-4097-bdd3-8f4ac4a8deea_0.png", "image_2": "Perception/paired/baa5bc52-0f9a-4097-bdd3-8f4ac4a8deea_1.png", "question": "Is image compression present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "40720df1-ef78-482c-a613-1c7eea99da2f", "image_1": "Perception/paired/40720df1-ef78-482c-a613-1c7eea99da2f_0.png", "image_2": "Perception/paired/40720df1-ef78-482c-a613-1c7eea99da2f_1.png", "question": "Is there image compression present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "7b97010b-8228-44b3-8c71-88e6db371237", "image_1": "Perception/paired/7b97010b-8228-44b3-8c71-88e6db371237_0.png", "image_2": "Perception/paired/7b97010b-8228-44b3-8c71-88e6db371237_1.png", "question": "Is there image compression present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "413889fb-7f1d-4be9-85c4-0eb454e61fc9", "image_1": "Perception/paired/413889fb-7f1d-4be9-85c4-0eb454e61fc9_0.png", "image_2": "Perception/paired/413889fb-7f1d-4be9-85c4-0eb454e61fc9_1.png", "question": "Does image compression interfere with interpretation of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "1294a5c3-e4b6-4309-a6db-0fb6975d4c7d", "image_1": "Perception/paired/1294a5c3-e4b6-4309-a6db-0fb6975d4c7d_0.png", "image_2": "Perception/paired/1294a5c3-e4b6-4309-a6db-0fb6975d4c7d_1.png", "question": "Does Image 2 show signs of image compression relative to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "c06801e8-9b07-42e4-ae60-17f66bac6322", "image_1": "Perception/paired/c06801e8-9b07-42e4-ae60-17f66bac6322_0.png", "image_2": "Perception/paired/c06801e8-9b07-42e4-ae60-17f66bac6322_1.png", "question": "Is image compression a dominant distortion in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "9ccf27c2-3a14-4909-b63e-117f0b9ce959", "image_1": "Perception/paired/9ccf27c2-3a14-4909-b63e-117f0b9ce959_0.png", "image_2": "Perception/paired/9ccf27c2-3a14-4909-b63e-117f0b9ce959_1.png", "question": "Does image compression reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "8702e685-b460-4abb-a02b-57c2ed7b2737", "image_1": "Perception/paired/8702e685-b460-4abb-a02b-57c2ed7b2737_0.png", "image_2": "Perception/paired/8702e685-b460-4abb-a02b-57c2ed7b2737_1.png", "question": "Does image compression lead to information loss in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "666e47fa-2c07-4440-9077-cffbcc22eb06", "image_1": "Perception/paired/666e47fa-2c07-4440-9077-cffbcc22eb06_0.png", "image_2": "Perception/paired/666e47fa-2c07-4440-9077-cffbcc22eb06_1.png", "question": "Does image compression result in missing information in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "96f70dcc-df55-4a0e-8358-aaa83fc338b8", "image_1": "Perception/paired/96f70dcc-df55-4a0e-8358-aaa83fc338b8_0.png", "image_2": "Perception/paired/96f70dcc-df55-4a0e-8358-aaa83fc338b8_1.png", "question": "Does image compression interfere with interpretation of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "ce331598-58e8-4e25-b38d-d6cf99d9a0fe", "image_1": "Perception/paired/ce331598-58e8-4e25-b38d-d6cf99d9a0fe_0.png", "image_2": "Perception/paired/ce331598-58e8-4e25-b38d-d6cf99d9a0fe_1.png", "question": "Does Image 2 show signs of image compression relative to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "bba56522-e531-42ab-8b2b-cd52e7927153", "image_1": "Perception/paired/bba56522-e531-42ab-8b2b-cd52e7927153_0.png", "image_2": "Perception/paired/bba56522-e531-42ab-8b2b-cd52e7927153_1.png", "question": "Is image compression apparent in this remote sensing scene (Image 2)?\nA.Yes\nB.No", "answer": "A"}
{"id": "e266c473-a45c-4812-a1d3-44dd8be19c50", "image_1": "Perception/paired/e266c473-a45c-4812-a1d3-44dd8be19c50_0.png", "image_2": "Perception/paired/e266c473-a45c-4812-a1d3-44dd8be19c50_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "af7ed8a9-0419-4cce-90b5-5176ada1da05", "image_1": "Perception/paired/af7ed8a9-0419-4cce-90b5-5176ada1da05_0.png", "image_2": "Perception/paired/af7ed8a9-0419-4cce-90b5-5176ada1da05_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "d659f519-3352-4508-a4f5-78ccb2409432", "image_1": "Perception/paired/d659f519-3352-4508-a4f5-78ccb2409432_0.png", "image_2": "Perception/paired/d659f519-3352-4508-a4f5-78ccb2409432_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "c2055b98-3a15-4f99-bd08-0de0fa371e94", "image_1": "Perception/paired/c2055b98-3a15-4f99-bd08-0de0fa371e94_0.png", "image_2": "Perception/paired/c2055b98-3a15-4f99-bd08-0de0fa371e94_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "6deaa328-2bcc-4480-a1eb-f7948d2e45f4", "image_1": "Perception/paired/6deaa328-2bcc-4480-a1eb-f7948d2e45f4_0.png", "image_2": "Perception/paired/6deaa328-2bcc-4480-a1eb-f7948d2e45f4_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "45986104-7e72-410a-93dd-5e54c6982e45", "image_1": "Perception/paired/45986104-7e72-410a-93dd-5e54c6982e45_0.png", "image_2": "Perception/paired/45986104-7e72-410a-93dd-5e54c6982e45_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "ff852697-3f8c-4dfa-a2d5-84d77214cabc", "image_1": "Perception/paired/ff852697-3f8c-4dfa-a2d5-84d77214cabc_0.png", "image_2": "Perception/paired/ff852697-3f8c-4dfa-a2d5-84d77214cabc_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "3dee3cfc-f196-4e53-9384-40fc09f581ee", "image_1": "Perception/paired/3dee3cfc-f196-4e53-9384-40fc09f581ee_0.png", "image_2": "Perception/paired/3dee3cfc-f196-4e53-9384-40fc09f581ee_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "d6f400fb-b859-4144-afce-46390da3bb92", "image_1": "Perception/paired/d6f400fb-b859-4144-afce-46390da3bb92_0.png", "image_2": "Perception/paired/d6f400fb-b859-4144-afce-46390da3bb92_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "3ab610f7-a852-48ea-a501-0da6698d6cda", "image_1": "Perception/paired/3ab610f7-a852-48ea-a501-0da6698d6cda_0.png", "image_2": "Perception/paired/3ab610f7-a852-48ea-a501-0da6698d6cda_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "66fd5e13-2201-4fe9-8a38-ccfaf1dbfcb1", "image_1": "Perception/paired/66fd5e13-2201-4fe9-8a38-ccfaf1dbfcb1_0.png", "image_2": "Perception/paired/66fd5e13-2201-4fe9-8a38-ccfaf1dbfcb1_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "b4a7c9a4-445c-4ffc-aed9-5acb2c2a4e89", "image_1": "Perception/paired/b4a7c9a4-445c-4ffc-aed9-5acb2c2a4e89_0.png", "image_2": "Perception/paired/b4a7c9a4-445c-4ffc-aed9-5acb2c2a4e89_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "ec9d5076-8743-4200-967c-6840ea9ad339", "image_1": "Perception/paired/ec9d5076-8743-4200-967c-6840ea9ad339_0.png", "image_2": "Perception/paired/ec9d5076-8743-4200-967c-6840ea9ad339_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "6917e1d4-9a85-4d93-a3c3-7a62356c9f72", "image_1": "Perception/paired/6917e1d4-9a85-4d93-a3c3-7a62356c9f72_0.png", "image_2": "Perception/paired/6917e1d4-9a85-4d93-a3c3-7a62356c9f72_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "419f8d55-da27-4d9c-b5bf-00a8bcdfb1f2", "image_1": "Perception/paired/419f8d55-da27-4d9c-b5bf-00a8bcdfb1f2_0.png", "image_2": "Perception/paired/419f8d55-da27-4d9c-b5bf-00a8bcdfb1f2_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "206dddb7-8163-4ba6-b0cd-8db950055854", "image_1": "Perception/paired/206dddb7-8163-4ba6-b0cd-8db950055854_0.png", "image_2": "Perception/paired/206dddb7-8163-4ba6-b0cd-8db950055854_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "f834a7de-daa1-4cc7-a81e-da25a32babbe", "image_1": "Perception/paired/f834a7de-daa1-4cc7-a81e-da25a32babbe_0.png", "image_2": "Perception/paired/f834a7de-daa1-4cc7-a81e-da25a32babbe_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "49f48e34-0226-408c-88b2-1c3046d0bac0", "image_1": "Perception/paired/49f48e34-0226-408c-88b2-1c3046d0bac0_0.png", "image_2": "Perception/paired/49f48e34-0226-408c-88b2-1c3046d0bac0_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "6abe1102-349d-4a5b-9800-7e76ec58e718", "image_1": "Perception/paired/6abe1102-349d-4a5b-9800-7e76ec58e718_0.png", "image_2": "Perception/paired/6abe1102-349d-4a5b-9800-7e76ec58e718_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "d4cbd017-82ce-4d61-af3c-a994017e8608", "image_1": "Perception/paired/d4cbd017-82ce-4d61-af3c-a994017e8608_0.png", "image_2": "Perception/paired/d4cbd017-82ce-4d61-af3c-a994017e8608_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "683c3191-b508-495d-9869-20793a4f8623", "image_1": "Perception/paired/683c3191-b508-495d-9869-20793a4f8623_0.png", "image_2": "Perception/paired/683c3191-b508-495d-9869-20793a4f8623_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "d49b9f08-457c-48e3-b38a-7fc877e4d41d", "image_1": "Perception/paired/d49b9f08-457c-48e3-b38a-7fc877e4d41d_0.png", "image_2": "Perception/paired/d49b9f08-457c-48e3-b38a-7fc877e4d41d_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "67a8d848-d3f9-464c-b88b-dfded9d98aca", "image_1": "Perception/paired/67a8d848-d3f9-464c-b88b-dfded9d98aca_0.png", "image_2": "Perception/paired/67a8d848-d3f9-464c-b88b-dfded9d98aca_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "20b48ca1-5e50-4303-8154-aa4899cceef8", "image_1": "Perception/paired/20b48ca1-5e50-4303-8154-aa4899cceef8_0.png", "image_2": "Perception/paired/20b48ca1-5e50-4303-8154-aa4899cceef8_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "34b3377b-9d51-467c-92fe-e3a698989482", "image_1": "Perception/paired/34b3377b-9d51-467c-92fe-e3a698989482_0.png", "image_2": "Perception/paired/34b3377b-9d51-467c-92fe-e3a698989482_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "e897bb69-8656-4414-803a-2c332bdd0818", "image_1": "Perception/paired/e897bb69-8656-4414-803a-2c332bdd0818_0.png", "image_2": "Perception/paired/e897bb69-8656-4414-803a-2c332bdd0818_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "0e87365d-6415-4ec7-9703-f92ef84a5c56", "image_1": "Perception/paired/0e87365d-6415-4ec7-9703-f92ef84a5c56_0.png", "image_2": "Perception/paired/0e87365d-6415-4ec7-9703-f92ef84a5c56_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "46d481a8-e827-42ea-9d33-212a69f00855", "image_1": "Perception/paired/46d481a8-e827-42ea-9d33-212a69f00855_0.png", "image_2": "Perception/paired/46d481a8-e827-42ea-9d33-212a69f00855_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "c89f4ffa-3f22-40ad-b3c6-a81ef7fe28b9", "image_1": "Perception/paired/c89f4ffa-3f22-40ad-b3c6-a81ef7fe28b9_0.png", "image_2": "Perception/paired/c89f4ffa-3f22-40ad-b3c6-a81ef7fe28b9_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "41ff13fb-838a-407b-a2e1-ac460caf95b7", "image_1": "Perception/paired/41ff13fb-838a-407b-a2e1-ac460caf95b7_0.png", "image_2": "Perception/paired/41ff13fb-838a-407b-a2e1-ac460caf95b7_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "bc3a3831-595e-42ae-95a2-e53d60012da5", "image_1": "Perception/paired/bc3a3831-595e-42ae-95a2-e53d60012da5_0.png", "image_2": "Perception/paired/bc3a3831-595e-42ae-95a2-e53d60012da5_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "a38ff345-12a2-4555-96cc-0f099bd27e22", "image_1": "Perception/paired/a38ff345-12a2-4555-96cc-0f099bd27e22_0.png", "image_2": "Perception/paired/a38ff345-12a2-4555-96cc-0f099bd27e22_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "9ff5deb5-b967-445e-8d5a-fe49b49ad38b", "image_1": "Perception/paired/9ff5deb5-b967-445e-8d5a-fe49b49ad38b_0.png", "image_2": "Perception/paired/9ff5deb5-b967-445e-8d5a-fe49b49ad38b_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "7bf2c252-56c6-4b9f-b3a4-ed3a52b24bd5", "image_1": "Perception/paired/7bf2c252-56c6-4b9f-b3a4-ed3a52b24bd5_0.png", "image_2": "Perception/paired/7bf2c252-56c6-4b9f-b3a4-ed3a52b24bd5_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "2fa50c6e-9fd7-4462-8378-69145e6fdc60", "image_1": "Perception/paired/2fa50c6e-9fd7-4462-8378-69145e6fdc60_0.png", "image_2": "Perception/paired/2fa50c6e-9fd7-4462-8378-69145e6fdc60_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "e3270289-7e6b-4b3a-bc03-465c63696df3", "image_1": "Perception/paired/e3270289-7e6b-4b3a-bc03-465c63696df3_0.png", "image_2": "Perception/paired/e3270289-7e6b-4b3a-bc03-465c63696df3_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "9cc6ec8c-c30e-4cd2-9b58-058818683872", "image_1": "Perception/paired/9cc6ec8c-c30e-4cd2-9b58-058818683872_0.png", "image_2": "Perception/paired/9cc6ec8c-c30e-4cd2-9b58-058818683872_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "ebb91509-d914-438e-acdc-6cc258624250", "image_1": "Perception/paired/ebb91509-d914-438e-acdc-6cc258624250_0.png", "image_2": "Perception/paired/ebb91509-d914-438e-acdc-6cc258624250_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "8c2b9b31-d64e-40fe-8085-98d25a4cf132", "image_1": "Perception/paired/8c2b9b31-d64e-40fe-8085-98d25a4cf132_0.png", "image_2": "Perception/paired/8c2b9b31-d64e-40fe-8085-98d25a4cf132_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "8136c7a9-c80d-40ed-a64d-c3d5eb6feb75", "image_1": "Perception/paired/8136c7a9-c80d-40ed-a64d-c3d5eb6feb75_0.png", "image_2": "Perception/paired/8136c7a9-c80d-40ed-a64d-c3d5eb6feb75_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "e87e4dfc-6012-4a9c-9f4a-4c7bb8f0b9a3", "image_1": "Perception/paired/e87e4dfc-6012-4a9c-9f4a-4c7bb8f0b9a3_0.png", "image_2": "Perception/paired/e87e4dfc-6012-4a9c-9f4a-4c7bb8f0b9a3_1.png", "question": "Is color distortion the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "a61d07f7-7e12-434c-a3ba-6946dc479b9d", "image_1": "Perception/paired/a61d07f7-7e12-434c-a3ba-6946dc479b9d_0.png", "image_2": "Perception/paired/a61d07f7-7e12-434c-a3ba-6946dc479b9d_1.png", "question": "Is Image 2 impacted by color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "023d36ef-e463-428c-a547-d541cd1c553a", "image_1": "Perception/paired/023d36ef-e463-428c-a547-d541cd1c553a_0.png", "image_2": "Perception/paired/023d36ef-e463-428c-a547-d541cd1c553a_1.png", "question": "Is color distortion present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "26845548-0dd6-47c1-828d-0a878b3e0dc9", "image_1": "Perception/paired/26845548-0dd6-47c1-828d-0a878b3e0dc9_0.png", "image_2": "Perception/paired/26845548-0dd6-47c1-828d-0a878b3e0dc9_1.png", "question": "Can color distortion be observed in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "d2fa115c-3620-4a30-a441-50cbd1c462ad", "image_1": "Perception/paired/d2fa115c-3620-4a30-a441-50cbd1c462ad_0.png", "image_2": "Perception/paired/d2fa115c-3620-4a30-a441-50cbd1c462ad_1.png", "question": "Does color distortion reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "4e385076-02dd-4069-bf44-c923fab35eb1", "image_1": "Perception/paired/4e385076-02dd-4069-bf44-c923fab35eb1_0.png", "image_2": "Perception/paired/4e385076-02dd-4069-bf44-c923fab35eb1_1.png", "question": "Is there color distortion present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "ef884ad5-b21a-4cb5-b17e-13bbd1d93543", "image_1": "Perception/paired/ef884ad5-b21a-4cb5-b17e-13bbd1d93543_0.png", "image_2": "Perception/paired/ef884ad5-b21a-4cb5-b17e-13bbd1d93543_1.png", "question": "Does Image 2 exhibit color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "db5d5820-0223-4fd8-93d9-0165bc4d5c8b", "image_1": "Perception/paired/db5d5820-0223-4fd8-93d9-0165bc4d5c8b_0.png", "image_2": "Perception/paired/db5d5820-0223-4fd8-93d9-0165bc4d5c8b_1.png", "question": "Does color distortion interfere with interpretation of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "90446034-83c7-43c7-880e-e35635a79966", "image_1": "Perception/paired/90446034-83c7-43c7-880e-e35635a79966_0.png", "image_2": "Perception/paired/90446034-83c7-43c7-880e-e35635a79966_1.png", "question": "Is color distortion visible in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "1e8c885a-447d-435b-be3e-c49ad3acde51", "image_1": "Perception/paired/1e8c885a-447d-435b-be3e-c49ad3acde51_0.png", "image_2": "Perception/paired/1e8c885a-447d-435b-be3e-c49ad3acde51_1.png", "question": "Can color distortion be observed in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "28a348c7-d9b6-4039-b03f-6d3d81b9cdfc", "image_1": "Perception/paired/28a348c7-d9b6-4039-b03f-6d3d81b9cdfc_0.png", "image_2": "Perception/paired/28a348c7-d9b6-4039-b03f-6d3d81b9cdfc_1.png", "question": "Is color distortion a critical issue in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "3ed42eab-2a9f-4fb9-ae32-e083309bd4eb", "image_1": "Perception/paired/3ed42eab-2a9f-4fb9-ae32-e083309bd4eb_0.png", "image_2": "Perception/paired/3ed42eab-2a9f-4fb9-ae32-e083309bd4eb_1.png", "question": "Does color distortion affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "af0526e8-ad76-4442-85fe-2b754d15cc14", "image_1": "Perception/paired/af0526e8-ad76-4442-85fe-2b754d15cc14_0.png", "image_2": "Perception/paired/af0526e8-ad76-4442-85fe-2b754d15cc14_1.png", "question": "Is color distortion apparent in this remote sensing scene (Image 2)?\nA.Yes\nB.No", "answer": "A"}
{"id": "46f081c4-4f3f-48f2-8221-0f373a8aaacc", "image_1": "Perception/paired/46f081c4-4f3f-48f2-8221-0f373a8aaacc_0.png", "image_2": "Perception/paired/46f081c4-4f3f-48f2-8221-0f373a8aaacc_1.png", "question": "Is color distortion a critical issue in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "14d3f12a-af04-41f7-9c98-3e21c46590da", "image_1": "Perception/paired/14d3f12a-af04-41f7-9c98-3e21c46590da_0.png", "image_2": "Perception/paired/14d3f12a-af04-41f7-9c98-3e21c46590da_1.png", "question": "Is color distortion a critical issue in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "90c6eb6c-f187-44a1-91f1-8def88955cfd", "image_1": "Perception/paired/90c6eb6c-f187-44a1-91f1-8def88955cfd_0.png", "image_2": "Perception/paired/90c6eb6c-f187-44a1-91f1-8def88955cfd_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "bd581c54-5c54-44a0-bb55-6d7c08010f49", "image_1": "Perception/paired/bd581c54-5c54-44a0-bb55-6d7c08010f49_0.png", "image_2": "Perception/paired/bd581c54-5c54-44a0-bb55-6d7c08010f49_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "c2a98e3d-0770-454c-91ae-ad8a3a6f9000", "image_1": "Perception/paired/c2a98e3d-0770-454c-91ae-ad8a3a6f9000_0.png", "image_2": "Perception/paired/c2a98e3d-0770-454c-91ae-ad8a3a6f9000_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "671424cd-f8b8-4b73-addb-b26e0578aeee", "image_1": "Perception/paired/671424cd-f8b8-4b73-addb-b26e0578aeee_0.png", "image_2": "Perception/paired/671424cd-f8b8-4b73-addb-b26e0578aeee_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "9400a54f-65fd-477e-bb11-7dc6c6255aab", "image_1": "Perception/paired/9400a54f-65fd-477e-bb11-7dc6c6255aab_0.png", "image_2": "Perception/paired/9400a54f-65fd-477e-bb11-7dc6c6255aab_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "10447e1c-9ad4-43cf-917f-48f4c0121629", "image_1": "Perception/paired/10447e1c-9ad4-43cf-917f-48f4c0121629_0.png", "image_2": "Perception/paired/10447e1c-9ad4-43cf-917f-48f4c0121629_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "4c77d70d-747e-4e86-ba4e-757bacd69cfd", "image_1": "Perception/paired/4c77d70d-747e-4e86-ba4e-757bacd69cfd_0.png", "image_2": "Perception/paired/4c77d70d-747e-4e86-ba4e-757bacd69cfd_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "a1baf0f4-3505-46a3-9198-5e5c9e747f86", "image_1": "Perception/paired/a1baf0f4-3505-46a3-9198-5e5c9e747f86_0.png", "image_2": "Perception/paired/a1baf0f4-3505-46a3-9198-5e5c9e747f86_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "d132b79a-1e3d-4266-99a6-d8b811b53c07", "image_1": "Perception/paired/d132b79a-1e3d-4266-99a6-d8b811b53c07_0.png", "image_2": "Perception/paired/d132b79a-1e3d-4266-99a6-d8b811b53c07_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "593d18b3-e951-45ec-8c2e-fa44add6a070", "image_1": "Perception/paired/593d18b3-e951-45ec-8c2e-fa44add6a070_0.png", "image_2": "Perception/paired/593d18b3-e951-45ec-8c2e-fa44add6a070_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "51d230e6-4d9d-4b9b-814c-cc01ad7de01d", "image_1": "Perception/paired/51d230e6-4d9d-4b9b-814c-cc01ad7de01d_0.png", "image_2": "Perception/paired/51d230e6-4d9d-4b9b-814c-cc01ad7de01d_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "20a77a40-c753-498e-aa34-69043bbd7d54", "image_1": "Perception/paired/20a77a40-c753-498e-aa34-69043bbd7d54_0.png", "image_2": "Perception/paired/20a77a40-c753-498e-aa34-69043bbd7d54_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "f865e4df-f89d-40ce-bdcd-6be7c65167e0", "image_1": "Perception/paired/f865e4df-f89d-40ce-bdcd-6be7c65167e0_0.png", "image_2": "Perception/paired/f865e4df-f89d-40ce-bdcd-6be7c65167e0_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "884439bb-fb0f-475c-b019-5d70c8fd2e82", "image_1": "Perception/paired/884439bb-fb0f-475c-b019-5d70c8fd2e82_0.png", "image_2": "Perception/paired/884439bb-fb0f-475c-b019-5d70c8fd2e82_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "c737aa2a-2136-4bce-bfbc-c9e11ec9bf84", "image_1": "Perception/paired/c737aa2a-2136-4bce-bfbc-c9e11ec9bf84_0.png", "image_2": "Perception/paired/c737aa2a-2136-4bce-bfbc-c9e11ec9bf84_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "c500d184-79dc-49ee-b9d8-6055a528a47d", "image_1": "Perception/paired/c500d184-79dc-49ee-b9d8-6055a528a47d_0.png", "image_2": "Perception/paired/c500d184-79dc-49ee-b9d8-6055a528a47d_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "006d707b-4a6e-4925-9938-891431e963b7", "image_1": "Perception/paired/006d707b-4a6e-4925-9938-891431e963b7_0.png", "image_2": "Perception/paired/006d707b-4a6e-4925-9938-891431e963b7_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "91a5c292-0581-4f19-a398-3d137882a692", "image_1": "Perception/paired/91a5c292-0581-4f19-a398-3d137882a692_0.png", "image_2": "Perception/paired/91a5c292-0581-4f19-a398-3d137882a692_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "e8a23fa7-f333-4e87-9607-97be09c1bf81", "image_1": "Perception/paired/e8a23fa7-f333-4e87-9607-97be09c1bf81_0.png", "image_2": "Perception/paired/e8a23fa7-f333-4e87-9607-97be09c1bf81_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "cb42ca7d-bd1b-4ab3-9145-0efecace3176", "image_1": "Perception/paired/cb42ca7d-bd1b-4ab3-9145-0efecace3176_0.png", "image_2": "Perception/paired/cb42ca7d-bd1b-4ab3-9145-0efecace3176_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "88463221-d37e-4622-897a-877d1fee6a51", "image_1": "Perception/paired/88463221-d37e-4622-897a-877d1fee6a51_0.png", "image_2": "Perception/paired/88463221-d37e-4622-897a-877d1fee6a51_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "25e2ac04-248b-4fe6-9636-eaf395a4f23b", "image_1": "Perception/paired/25e2ac04-248b-4fe6-9636-eaf395a4f23b_0.png", "image_2": "Perception/paired/25e2ac04-248b-4fe6-9636-eaf395a4f23b_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "02698f0a-1fc2-4b00-851f-11e216cbc71a", "image_1": "Perception/paired/02698f0a-1fc2-4b00-851f-11e216cbc71a_0.png", "image_2": "Perception/paired/02698f0a-1fc2-4b00-851f-11e216cbc71a_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "f3d62050-3d17-4ca6-aad6-d36fc796ba3c", "image_1": "Perception/paired/f3d62050-3d17-4ca6-aad6-d36fc796ba3c_0.png", "image_2": "Perception/paired/f3d62050-3d17-4ca6-aad6-d36fc796ba3c_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "ff4641a1-cc65-4b1b-acae-e7bb85cc6309", "image_1": "Perception/paired/ff4641a1-cc65-4b1b-acae-e7bb85cc6309_0.png", "image_2": "Perception/paired/ff4641a1-cc65-4b1b-acae-e7bb85cc6309_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "201d52c1-3899-46c7-9101-a2e0f76ade56", "image_1": "Perception/paired/201d52c1-3899-46c7-9101-a2e0f76ade56_0.png", "image_2": "Perception/paired/201d52c1-3899-46c7-9101-a2e0f76ade56_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "018c8d9e-90f1-4d8e-9dd4-807898ad08c1", "image_1": "Perception/paired/018c8d9e-90f1-4d8e-9dd4-807898ad08c1_0.png", "image_2": "Perception/paired/018c8d9e-90f1-4d8e-9dd4-807898ad08c1_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "61d79292-5771-4d7a-8dba-53d0b3a8311e", "image_1": "Perception/paired/61d79292-5771-4d7a-8dba-53d0b3a8311e_0.png", "image_2": "Perception/paired/61d79292-5771-4d7a-8dba-53d0b3a8311e_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "538221a1-4109-40a6-80f5-9069bf937992", "image_1": "Perception/paired/538221a1-4109-40a6-80f5-9069bf937992_0.png", "image_2": "Perception/paired/538221a1-4109-40a6-80f5-9069bf937992_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "6b0fb784-4b40-4b02-b6c4-b0daf5d1a503", "image_1": "Perception/paired/6b0fb784-4b40-4b02-b6c4-b0daf5d1a503_0.png", "image_2": "Perception/paired/6b0fb784-4b40-4b02-b6c4-b0daf5d1a503_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "a589cfbc-db4e-4421-b396-23b5c88f8abe", "image_1": "Perception/paired/a589cfbc-db4e-4421-b396-23b5c88f8abe_0.png", "image_2": "Perception/paired/a589cfbc-db4e-4421-b396-23b5c88f8abe_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "544cc39c-440f-4b7d-8bea-e815f939e281", "image_1": "Perception/paired/544cc39c-440f-4b7d-8bea-e815f939e281_0.png", "image_2": "Perception/paired/544cc39c-440f-4b7d-8bea-e815f939e281_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "ccfa3b28-b349-43ce-90a4-b36eb183250f", "image_1": "Perception/paired/ccfa3b28-b349-43ce-90a4-b36eb183250f_0.png", "image_2": "Perception/paired/ccfa3b28-b349-43ce-90a4-b36eb183250f_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "e6e1bcf4-0073-48f5-932f-a0845fd9240e", "image_1": "Perception/paired/e6e1bcf4-0073-48f5-932f-a0845fd9240e_0.png", "image_2": "Perception/paired/e6e1bcf4-0073-48f5-932f-a0845fd9240e_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "58249b22-22fc-4070-a0d9-1e991484d9e0", "image_1": "Perception/paired/58249b22-22fc-4070-a0d9-1e991484d9e0_0.png", "image_2": "Perception/paired/58249b22-22fc-4070-a0d9-1e991484d9e0_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "738fdd70-2688-46af-96e6-cd269dde0226", "image_1": "Perception/paired/738fdd70-2688-46af-96e6-cd269dde0226_0.png", "image_2": "Perception/paired/738fdd70-2688-46af-96e6-cd269dde0226_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "cb722a7a-96cc-4edf-97ea-f458001305f3", "image_1": "Perception/paired/cb722a7a-96cc-4edf-97ea-f458001305f3_0.png", "image_2": "Perception/paired/cb722a7a-96cc-4edf-97ea-f458001305f3_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "3e65bb8a-cb7c-4300-b657-6487dcfeac6d", "image_1": "Perception/paired/3e65bb8a-cb7c-4300-b657-6487dcfeac6d_0.png", "image_2": "Perception/paired/3e65bb8a-cb7c-4300-b657-6487dcfeac6d_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable color distortion artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "e1897e39-05e2-4687-bd4e-d117513c6921", "image_1": "Perception/paired/e1897e39-05e2-4687-bd4e-d117513c6921_0.png", "image_2": "Perception/paired/e1897e39-05e2-4687-bd4e-d117513c6921_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "cfdac7b6-7140-4b77-ba2e-99d10d1b87b1", "image_1": "Perception/paired/cfdac7b6-7140-4b77-ba2e-99d10d1b87b1_0.png", "image_2": "Perception/paired/cfdac7b6-7140-4b77-ba2e-99d10d1b87b1_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "fff49f69-1cbb-4a3d-b674-26947e71b0c4", "image_1": "Perception/paired/fff49f69-1cbb-4a3d-b674-26947e71b0c4_0.png", "image_2": "Perception/paired/fff49f69-1cbb-4a3d-b674-26947e71b0c4_1.png", "question": "Is color distortion responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "983f2791-8494-49a9-bbeb-adad25e8616d", "image_1": "Perception/paired/983f2791-8494-49a9-bbeb-adad25e8616d_0.png", "image_2": "Perception/paired/983f2791-8494-49a9-bbeb-adad25e8616d_1.png", "question": "Does color distortion compromise the data integrity of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "78318280-07ea-4b47-b2f5-da9b1c8ce672", "image_1": "Perception/paired/78318280-07ea-4b47-b2f5-da9b1c8ce672_0.png", "image_2": "Perception/paired/78318280-07ea-4b47-b2f5-da9b1c8ce672_1.png", "question": "Is color distortion apparent in this remote sensing scene (Image 2)?\nA.Yes\nB.No", "answer": "A"}
{"id": "489cde7c-51d9-4503-9dff-83fa655e645c", "image_1": "Perception/paired/489cde7c-51d9-4503-9dff-83fa655e645c_0.png", "image_2": "Perception/paired/489cde7c-51d9-4503-9dff-83fa655e645c_1.png", "question": "Comparing to Image 1, does Image 2 contain color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "9963ee5a-e5ee-4318-b5fd-b42cd06d76fa", "image_1": "Perception/paired/9963ee5a-e5ee-4318-b5fd-b42cd06d76fa_0.png", "image_2": "Perception/paired/9963ee5a-e5ee-4318-b5fd-b42cd06d76fa_1.png", "question": "Does color distortion affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "46568a4a-02e8-41b9-9e5e-337a4b72d7fb", "image_1": "Perception/paired/46568a4a-02e8-41b9-9e5e-337a4b72d7fb_0.png", "image_2": "Perception/paired/46568a4a-02e8-41b9-9e5e-337a4b72d7fb_1.png", "question": "Is color distortion apparent in this remote sensing scene (Image 2)?\nA.Yes\nB.No", "answer": "A"}
{"id": "5973882e-c953-4aaf-8943-d84745164313", "image_1": "Perception/paired/5973882e-c953-4aaf-8943-d84745164313_0.png", "image_2": "Perception/paired/5973882e-c953-4aaf-8943-d84745164313_1.png", "question": "Is Image 2 impacted by color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "7921c955-610d-4e46-9e1c-8f3bb20dc85d", "image_1": "Perception/paired/7921c955-610d-4e46-9e1c-8f3bb20dc85d_0.png", "image_2": "Perception/paired/7921c955-610d-4e46-9e1c-8f3bb20dc85d_1.png", "question": "Is color distortion a dominant distortion in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "1d3eb76f-abcf-4f5f-bd94-91a32c48dbfb", "image_1": "Perception/paired/1d3eb76f-abcf-4f5f-bd94-91a32c48dbfb_0.png", "image_2": "Perception/paired/1d3eb76f-abcf-4f5f-bd94-91a32c48dbfb_1.png", "question": "Is color distortion the primary source of degradation in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "7f47a558-0ac3-4d4b-91f1-67703e911b89", "image_1": "Perception/paired/7f47a558-0ac3-4d4b-91f1-67703e911b89_0.png", "image_2": "Perception/paired/7f47a558-0ac3-4d4b-91f1-67703e911b89_1.png", "question": "Is there color distortion present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "625618ae-79df-4412-87ba-69d2b2b38f7f", "image_1": "Perception/paired/625618ae-79df-4412-87ba-69d2b2b38f7f_0.png", "image_2": "Perception/paired/625618ae-79df-4412-87ba-69d2b2b38f7f_1.png", "question": "Does color distortion reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "ee4dce24-008e-4f86-a908-50c4fc124b99", "image_1": "Perception/paired/ee4dce24-008e-4f86-a908-50c4fc124b99_0.png", "image_2": "Perception/paired/ee4dce24-008e-4f86-a908-50c4fc124b99_1.png", "question": "Is color distortion a dominant distortion in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "5525873f-1873-46cc-92c1-f527fbf8f3c2", "image_1": "Perception/paired/5525873f-1873-46cc-92c1-f527fbf8f3c2_0.png", "image_2": "Perception/paired/5525873f-1873-46cc-92c1-f527fbf8f3c2_1.png", "question": "Is color distortion responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "2b5cf39a-cc87-4396-bcf7-c157fd43f3db", "image_1": "Perception/paired/2b5cf39a-cc87-4396-bcf7-c157fd43f3db_0.png", "image_2": "Perception/paired/2b5cf39a-cc87-4396-bcf7-c157fd43f3db_1.png", "question": "Is color distortion apparent in this remote sensing scene (Image 2)?\nA.Yes\nB.No", "answer": "A"}
{"id": "b7aae8de-fbd4-4796-a62b-9110f853d950", "image_1": "Perception/paired/b7aae8de-fbd4-4796-a62b-9110f853d950_0.png", "image_2": "Perception/paired/b7aae8de-fbd4-4796-a62b-9110f853d950_1.png", "question": "Does color distortion lead to information loss in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "da3f7029-5026-45c0-877b-3bb970a2dcba", "image_1": "Perception/paired/da3f7029-5026-45c0-877b-3bb970a2dcba_0.png", "image_2": "Perception/paired/da3f7029-5026-45c0-877b-3bb970a2dcba_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "5962db2a-426a-4d4f-8999-1d4f2841c4d5", "image_1": "Perception/paired/5962db2a-426a-4d4f-8999-1d4f2841c4d5_0.png", "image_2": "Perception/paired/5962db2a-426a-4d4f-8999-1d4f2841c4d5_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "343fccd8-7258-4ce3-869f-e9945c000c9e", "image_1": "Perception/paired/343fccd8-7258-4ce3-869f-e9945c000c9e_0.png", "image_2": "Perception/paired/343fccd8-7258-4ce3-869f-e9945c000c9e_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "30b001ae-32e5-4c90-b38b-af136e14a2e6", "image_1": "Perception/paired/30b001ae-32e5-4c90-b38b-af136e14a2e6_0.png", "image_2": "Perception/paired/30b001ae-32e5-4c90-b38b-af136e14a2e6_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "cc5cd1af-8762-461a-9f92-f27ddad9e295", "image_1": "Perception/paired/cc5cd1af-8762-461a-9f92-f27ddad9e295_0.png", "image_2": "Perception/paired/cc5cd1af-8762-461a-9f92-f27ddad9e295_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "7f861161-7d60-4ca6-af1b-fde232598536", "image_1": "Perception/paired/7f861161-7d60-4ca6-af1b-fde232598536_0.png", "image_2": "Perception/paired/7f861161-7d60-4ca6-af1b-fde232598536_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "fa630e8f-cd89-4f39-928d-8b05a217ab5d", "image_1": "Perception/paired/fa630e8f-cd89-4f39-928d-8b05a217ab5d_0.png", "image_2": "Perception/paired/fa630e8f-cd89-4f39-928d-8b05a217ab5d_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "d114f69b-9b4a-4528-a9e7-8ee97e3764c7", "image_1": "Perception/paired/d114f69b-9b4a-4528-a9e7-8ee97e3764c7_0.png", "image_2": "Perception/paired/d114f69b-9b4a-4528-a9e7-8ee97e3764c7_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "e93b2520-2a65-4d2d-b0d9-4e5ad3966ccb", "image_1": "Perception/paired/e93b2520-2a65-4d2d-b0d9-4e5ad3966ccb_0.png", "image_2": "Perception/paired/e93b2520-2a65-4d2d-b0d9-4e5ad3966ccb_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "d155cceb-e28f-43e2-94a2-b5093b983dda", "image_1": "Perception/paired/d155cceb-e28f-43e2-94a2-b5093b983dda_0.png", "image_2": "Perception/paired/d155cceb-e28f-43e2-94a2-b5093b983dda_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "6819bdf1-152e-4576-9a5c-d79a3842226a", "image_1": "Perception/paired/6819bdf1-152e-4576-9a5c-d79a3842226a_0.png", "image_2": "Perception/paired/6819bdf1-152e-4576-9a5c-d79a3842226a_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "b2af513d-692b-4c04-8112-5beaefdcfec9", "image_1": "Perception/paired/b2af513d-692b-4c04-8112-5beaefdcfec9_0.png", "image_2": "Perception/paired/b2af513d-692b-4c04-8112-5beaefdcfec9_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "aeef2cb0-15a3-419b-bcf6-f3b19b861aa1", "image_1": "Perception/paired/aeef2cb0-15a3-419b-bcf6-f3b19b861aa1_0.png", "image_2": "Perception/paired/aeef2cb0-15a3-419b-bcf6-f3b19b861aa1_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "dbef8a6b-1c88-4c38-9d14-52963de94d56", "image_1": "Perception/paired/dbef8a6b-1c88-4c38-9d14-52963de94d56_0.png", "image_2": "Perception/paired/dbef8a6b-1c88-4c38-9d14-52963de94d56_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "80446868-82d3-40f3-a0b1-5f5740393f26", "image_1": "Perception/paired/80446868-82d3-40f3-a0b1-5f5740393f26_0.png", "image_2": "Perception/paired/80446868-82d3-40f3-a0b1-5f5740393f26_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "92efec31-f282-48ea-8050-d2b4158a4477", "image_1": "Perception/paired/92efec31-f282-48ea-8050-d2b4158a4477_0.png", "image_2": "Perception/paired/92efec31-f282-48ea-8050-d2b4158a4477_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "2c026726-e138-401b-9c61-6e3aa2806655", "image_1": "Perception/paired/2c026726-e138-401b-9c61-6e3aa2806655_0.png", "image_2": "Perception/paired/2c026726-e138-401b-9c61-6e3aa2806655_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "d863c28f-1b8e-4e57-96a0-a66fb65af9f6", "image_1": "Perception/paired/d863c28f-1b8e-4e57-96a0-a66fb65af9f6_0.png", "image_2": "Perception/paired/d863c28f-1b8e-4e57-96a0-a66fb65af9f6_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "fa7b594a-2226-407b-ab37-871468d0c1ed", "image_1": "Perception/paired/fa7b594a-2226-407b-ab37-871468d0c1ed_0.png", "image_2": "Perception/paired/fa7b594a-2226-407b-ab37-871468d0c1ed_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "0825c87b-c026-4df0-89ab-46b4a34699bf", "image_1": "Perception/paired/0825c87b-c026-4df0-89ab-46b4a34699bf_0.png", "image_2": "Perception/paired/0825c87b-c026-4df0-89ab-46b4a34699bf_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "3b135b00-5e36-4ab2-92e0-d61c66831ad5", "image_1": "Perception/paired/3b135b00-5e36-4ab2-92e0-d61c66831ad5_0.png", "image_2": "Perception/paired/3b135b00-5e36-4ab2-92e0-d61c66831ad5_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "33fe6ec7-3a39-43f6-9afd-30e2a855280f", "image_1": "Perception/paired/33fe6ec7-3a39-43f6-9afd-30e2a855280f_0.png", "image_2": "Perception/paired/33fe6ec7-3a39-43f6-9afd-30e2a855280f_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "c5566843-5b92-4ed8-8a0b-8ea3ceb3298f", "image_1": "Perception/paired/c5566843-5b92-4ed8-8a0b-8ea3ceb3298f_0.png", "image_2": "Perception/paired/c5566843-5b92-4ed8-8a0b-8ea3ceb3298f_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "1c55a51a-4e6d-4127-ba51-bf67fa603341", "image_1": "Perception/paired/1c55a51a-4e6d-4127-ba51-bf67fa603341_0.png", "image_2": "Perception/paired/1c55a51a-4e6d-4127-ba51-bf67fa603341_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "94616676-ff43-404b-b5ea-81771c5ea8f0", "image_1": "Perception/paired/94616676-ff43-404b-b5ea-81771c5ea8f0_0.png", "image_2": "Perception/paired/94616676-ff43-404b-b5ea-81771c5ea8f0_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "baa97254-9c44-446a-88a4-4834aa920670", "image_1": "Perception/paired/baa97254-9c44-446a-88a4-4834aa920670_0.png", "image_2": "Perception/paired/baa97254-9c44-446a-88a4-4834aa920670_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "e8557220-1c47-4c54-969f-89ccc3d1a478", "image_1": "Perception/paired/e8557220-1c47-4c54-969f-89ccc3d1a478_0.png", "image_2": "Perception/paired/e8557220-1c47-4c54-969f-89ccc3d1a478_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "096580a6-ffec-443d-b9d1-f6866ce211f8", "image_1": "Perception/paired/096580a6-ffec-443d-b9d1-f6866ce211f8_0.png", "image_2": "Perception/paired/096580a6-ffec-443d-b9d1-f6866ce211f8_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "308814fd-9be6-48b8-96af-817e9b1c1fe3", "image_1": "Perception/paired/308814fd-9be6-48b8-96af-817e9b1c1fe3_0.png", "image_2": "Perception/paired/308814fd-9be6-48b8-96af-817e9b1c1fe3_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "2f137320-3fc7-433d-86b7-d54aeca60f5e", "image_1": "Perception/paired/2f137320-3fc7-433d-86b7-d54aeca60f5e_0.png", "image_2": "Perception/paired/2f137320-3fc7-433d-86b7-d54aeca60f5e_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "4824483b-7c7d-46ec-9df1-1f68371cbca9", "image_1": "Perception/paired/4824483b-7c7d-46ec-9df1-1f68371cbca9_0.png", "image_2": "Perception/paired/4824483b-7c7d-46ec-9df1-1f68371cbca9_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "3f44018b-196b-4dd1-8138-a8ab309990e7", "image_1": "Perception/paired/3f44018b-196b-4dd1-8138-a8ab309990e7_0.png", "image_2": "Perception/paired/3f44018b-196b-4dd1-8138-a8ab309990e7_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "a28238b6-b4af-43a3-bf2e-b63707dcb69d", "image_1": "Perception/paired/a28238b6-b4af-43a3-bf2e-b63707dcb69d_0.png", "image_2": "Perception/paired/a28238b6-b4af-43a3-bf2e-b63707dcb69d_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "4910c57f-3d5e-414c-904d-8d69a204eec4", "image_1": "Perception/paired/4910c57f-3d5e-414c-904d-8d69a204eec4_0.png", "image_2": "Perception/paired/4910c57f-3d5e-414c-904d-8d69a204eec4_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "0005d781-8b6c-4afd-8c67-af602a5afdfe", "image_1": "Perception/paired/0005d781-8b6c-4afd-8c67-af602a5afdfe_0.png", "image_2": "Perception/paired/0005d781-8b6c-4afd-8c67-af602a5afdfe_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "bd2627c9-9d97-4bb1-acbb-fe893c5db584", "image_1": "Perception/paired/bd2627c9-9d97-4bb1-acbb-fe893c5db584_0.png", "image_2": "Perception/paired/bd2627c9-9d97-4bb1-acbb-fe893c5db584_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "5153a4fa-358d-4df6-a306-94d00d486913", "image_1": "Perception/paired/5153a4fa-358d-4df6-a306-94d00d486913_0.png", "image_2": "Perception/paired/5153a4fa-358d-4df6-a306-94d00d486913_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "dfb7d804-e7cf-434a-a01b-15d4bb1bcf05", "image_1": "Perception/paired/dfb7d804-e7cf-434a-a01b-15d4bb1bcf05_0.png", "image_2": "Perception/paired/dfb7d804-e7cf-434a-a01b-15d4bb1bcf05_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "6ca47119-c75d-4efd-9432-cdd414225778", "image_1": "Perception/paired/6ca47119-c75d-4efd-9432-cdd414225778_0.png", "image_2": "Perception/paired/6ca47119-c75d-4efd-9432-cdd414225778_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "0d765e7d-574e-4890-92cb-d9d0c17409b7", "image_1": "Perception/paired/0d765e7d-574e-4890-92cb-d9d0c17409b7_0.png", "image_2": "Perception/paired/0d765e7d-574e-4890-92cb-d9d0c17409b7_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "1caca9fd-8d34-4b0b-8e14-bea139e81008", "image_1": "Perception/paired/1caca9fd-8d34-4b0b-8e14-bea139e81008_0.png", "image_2": "Perception/paired/1caca9fd-8d34-4b0b-8e14-bea139e81008_1.png", "question": "Does Image 2 contain image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "b4236bb2-d882-48bc-8391-16f79da77db2", "image_1": "Perception/paired/b4236bb2-d882-48bc-8391-16f79da77db2_0.png", "image_2": "Perception/paired/b4236bb2-d882-48bc-8391-16f79da77db2_1.png", "question": "Comparing to Image 1, does Image 2 contain image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "e3664104-3d7e-4d9c-a798-876815e901b8", "image_1": "Perception/paired/e3664104-3d7e-4d9c-a798-876815e901b8_0.png", "image_2": "Perception/paired/e3664104-3d7e-4d9c-a798-876815e901b8_1.png", "question": "Does image stretching lead to information loss in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "ed0cd5fd-cf18-4a29-83a1-350bb029f5a5", "image_1": "Perception/paired/ed0cd5fd-cf18-4a29-83a1-350bb029f5a5_0.png", "image_2": "Perception/paired/ed0cd5fd-cf18-4a29-83a1-350bb029f5a5_1.png", "question": "Does image stretching affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "a8a36ac9-1c7c-4b89-b56b-f8efa483e892", "image_1": "Perception/paired/a8a36ac9-1c7c-4b89-b56b-f8efa483e892_0.png", "image_2": "Perception/paired/a8a36ac9-1c7c-4b89-b56b-f8efa483e892_1.png", "question": "Is there image stretching present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "00ace6e2-050f-40d7-8563-8e4568b9e9ac", "image_1": "Perception/paired/00ace6e2-050f-40d7-8563-8e4568b9e9ac_0.png", "image_2": "Perception/paired/00ace6e2-050f-40d7-8563-8e4568b9e9ac_1.png", "question": "Is image stretching present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "a774e422-6759-4693-9c34-bece03c73cf8", "image_1": "Perception/paired/a774e422-6759-4693-9c34-bece03c73cf8_0.png", "image_2": "Perception/paired/a774e422-6759-4693-9c34-bece03c73cf8_1.png", "question": "Does Image 2 exhibit image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "12bb0625-5a85-458a-8f32-bbb6d6c7c56f", "image_1": "Perception/paired/12bb0625-5a85-458a-8f32-bbb6d6c7c56f_0.png", "image_2": "Perception/paired/12bb0625-5a85-458a-8f32-bbb6d6c7c56f_1.png", "question": "Does Image 2 contain image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "de8d0704-20b1-41d5-b320-15a4639d09f0", "image_1": "Perception/paired/de8d0704-20b1-41d5-b320-15a4639d09f0_0.png", "image_2": "Perception/paired/de8d0704-20b1-41d5-b320-15a4639d09f0_1.png", "question": "Does image stretching interfere with interpretation of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "69a996f7-6355-4c21-b669-794ae7f5a003", "image_1": "Perception/paired/69a996f7-6355-4c21-b669-794ae7f5a003_0.png", "image_2": "Perception/paired/69a996f7-6355-4c21-b669-794ae7f5a003_1.png", "question": "Is image stretching a critical issue in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "28659b66-c874-4739-8a6c-3b939fe2b22c", "image_1": "Perception/paired/28659b66-c874-4739-8a6c-3b939fe2b22c_0.png", "image_2": "Perception/paired/28659b66-c874-4739-8a6c-3b939fe2b22c_1.png", "question": "Does Image 2 contain image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "3a773e2d-eef1-4f19-a0ee-4c6af10e1b06", "image_1": "Perception/paired/3a773e2d-eef1-4f19-a0ee-4c6af10e1b06_0.png", "image_2": "Perception/paired/3a773e2d-eef1-4f19-a0ee-4c6af10e1b06_1.png", "question": "Is image stretching responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "8a774d8e-8616-430c-8ea3-d496531b0d9f", "image_1": "Perception/paired/8a774d8e-8616-430c-8ea3-d496531b0d9f_0.png", "image_2": "Perception/paired/8a774d8e-8616-430c-8ea3-d496531b0d9f_1.png", "question": "Does image stretching obscure details in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "a5f4a975-f91e-481f-8397-35fb3364fa4e", "image_1": "Perception/paired/a5f4a975-f91e-481f-8397-35fb3364fa4e_0.png", "image_2": "Perception/paired/a5f4a975-f91e-481f-8397-35fb3364fa4e_1.png", "question": "Does image stretching result in missing information in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "3d2a571d-cfb8-43f8-8193-a702fe78efce", "image_1": "Perception/paired/3d2a571d-cfb8-43f8-8193-a702fe78efce_0.png", "image_2": "Perception/paired/3d2a571d-cfb8-43f8-8193-a702fe78efce_1.png", "question": "Does image stretching affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "a4529991-e32c-4085-af3e-38628cf98ed3", "image_1": "Perception/paired/a4529991-e32c-4085-af3e-38628cf98ed3_0.png", "image_2": "Perception/paired/a4529991-e32c-4085-af3e-38628cf98ed3_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "0b3a06a9-546b-45f2-9acf-b0895bb42187", "image_1": "Perception/paired/0b3a06a9-546b-45f2-9acf-b0895bb42187_0.png", "image_2": "Perception/paired/0b3a06a9-546b-45f2-9acf-b0895bb42187_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "10d92c45-3231-47aa-a471-adb745f26059", "image_1": "Perception/paired/10d92c45-3231-47aa-a471-adb745f26059_0.png", "image_2": "Perception/paired/10d92c45-3231-47aa-a471-adb745f26059_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "148bf68e-c472-4204-af33-0d674d1a7914", "image_1": "Perception/paired/148bf68e-c472-4204-af33-0d674d1a7914_0.png", "image_2": "Perception/paired/148bf68e-c472-4204-af33-0d674d1a7914_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "1f7bd2f1-eead-401e-b8f6-b6f328e9e243", "image_1": "Perception/paired/1f7bd2f1-eead-401e-b8f6-b6f328e9e243_0.png", "image_2": "Perception/paired/1f7bd2f1-eead-401e-b8f6-b6f328e9e243_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "a2fd8c0f-bc25-49a2-b6c3-2dd78aa618b6", "image_1": "Perception/paired/a2fd8c0f-bc25-49a2-b6c3-2dd78aa618b6_0.png", "image_2": "Perception/paired/a2fd8c0f-bc25-49a2-b6c3-2dd78aa618b6_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "744cb6e5-20a1-41cf-86f4-d32fa98d6b7a", "image_1": "Perception/paired/744cb6e5-20a1-41cf-86f4-d32fa98d6b7a_0.png", "image_2": "Perception/paired/744cb6e5-20a1-41cf-86f4-d32fa98d6b7a_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "905f769b-534d-4a66-aff7-4cc15622fbda", "image_1": "Perception/paired/905f769b-534d-4a66-aff7-4cc15622fbda_0.png", "image_2": "Perception/paired/905f769b-534d-4a66-aff7-4cc15622fbda_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "69eb3c0d-a37e-4ba8-a654-8d1e3db7f14f", "image_1": "Perception/paired/69eb3c0d-a37e-4ba8-a654-8d1e3db7f14f_0.png", "image_2": "Perception/paired/69eb3c0d-a37e-4ba8-a654-8d1e3db7f14f_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "1440791c-99ba-4e44-b824-e5ec165e9ab2", "image_1": "Perception/paired/1440791c-99ba-4e44-b824-e5ec165e9ab2_0.png", "image_2": "Perception/paired/1440791c-99ba-4e44-b824-e5ec165e9ab2_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "05b65652-127b-4ee7-a3d6-effd921de3b7", "image_1": "Perception/paired/05b65652-127b-4ee7-a3d6-effd921de3b7_0.png", "image_2": "Perception/paired/05b65652-127b-4ee7-a3d6-effd921de3b7_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "f255cefe-eab0-4148-9c01-9ece7b021a57", "image_1": "Perception/paired/f255cefe-eab0-4148-9c01-9ece7b021a57_0.png", "image_2": "Perception/paired/f255cefe-eab0-4148-9c01-9ece7b021a57_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "262e2a3b-902b-43dc-8233-11f865573724", "image_1": "Perception/paired/262e2a3b-902b-43dc-8233-11f865573724_0.png", "image_2": "Perception/paired/262e2a3b-902b-43dc-8233-11f865573724_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "549630ad-4478-49a2-9b46-562129532557", "image_1": "Perception/paired/549630ad-4478-49a2-9b46-562129532557_0.png", "image_2": "Perception/paired/549630ad-4478-49a2-9b46-562129532557_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "3a6ec916-c618-445a-92fe-9494afbe8010", "image_1": "Perception/paired/3a6ec916-c618-445a-92fe-9494afbe8010_0.png", "image_2": "Perception/paired/3a6ec916-c618-445a-92fe-9494afbe8010_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "a2996198-3b59-403a-8be5-8b86bf7537c8", "image_1": "Perception/paired/a2996198-3b59-403a-8be5-8b86bf7537c8_0.png", "image_2": "Perception/paired/a2996198-3b59-403a-8be5-8b86bf7537c8_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "da273b84-de05-4992-8345-6e139eaee6a0", "image_1": "Perception/paired/da273b84-de05-4992-8345-6e139eaee6a0_0.png", "image_2": "Perception/paired/da273b84-de05-4992-8345-6e139eaee6a0_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "82cded83-989a-4718-8702-5bb81e21960b", "image_1": "Perception/paired/82cded83-989a-4718-8702-5bb81e21960b_0.png", "image_2": "Perception/paired/82cded83-989a-4718-8702-5bb81e21960b_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "887c48d5-1067-41ab-880b-20c6cdd1c5be", "image_1": "Perception/paired/887c48d5-1067-41ab-880b-20c6cdd1c5be_0.png", "image_2": "Perception/paired/887c48d5-1067-41ab-880b-20c6cdd1c5be_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "97db12ed-7e9a-43f5-ac0e-402cc0853c9f", "image_1": "Perception/paired/97db12ed-7e9a-43f5-ac0e-402cc0853c9f_0.png", "image_2": "Perception/paired/97db12ed-7e9a-43f5-ac0e-402cc0853c9f_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "179f227f-ca7f-4a67-8c12-73e9f98e6b6a", "image_1": "Perception/paired/179f227f-ca7f-4a67-8c12-73e9f98e6b6a_0.png", "image_2": "Perception/paired/179f227f-ca7f-4a67-8c12-73e9f98e6b6a_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "4c9dccd5-9944-4385-a01a-792ac01793de", "image_1": "Perception/paired/4c9dccd5-9944-4385-a01a-792ac01793de_0.png", "image_2": "Perception/paired/4c9dccd5-9944-4385-a01a-792ac01793de_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "8b7d7ec5-75c6-4d3c-b5ab-284519080711", "image_1": "Perception/paired/8b7d7ec5-75c6-4d3c-b5ab-284519080711_0.png", "image_2": "Perception/paired/8b7d7ec5-75c6-4d3c-b5ab-284519080711_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "e6f44ce7-1e94-4b46-8443-3ac950510096", "image_1": "Perception/paired/e6f44ce7-1e94-4b46-8443-3ac950510096_0.png", "image_2": "Perception/paired/e6f44ce7-1e94-4b46-8443-3ac950510096_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "4ac5f29b-b764-414d-a171-b585744c45e4", "image_1": "Perception/paired/4ac5f29b-b764-414d-a171-b585744c45e4_0.png", "image_2": "Perception/paired/4ac5f29b-b764-414d-a171-b585744c45e4_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "b13374ba-516b-4532-8d99-b2240e37193a", "image_1": "Perception/paired/b13374ba-516b-4532-8d99-b2240e37193a_0.png", "image_2": "Perception/paired/b13374ba-516b-4532-8d99-b2240e37193a_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "01cc66c0-92e3-41d6-add4-739201898770", "image_1": "Perception/paired/01cc66c0-92e3-41d6-add4-739201898770_0.png", "image_2": "Perception/paired/01cc66c0-92e3-41d6-add4-739201898770_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "fcf067a4-815b-47b7-84c5-c50a59615d32", "image_1": "Perception/paired/fcf067a4-815b-47b7-84c5-c50a59615d32_0.png", "image_2": "Perception/paired/fcf067a4-815b-47b7-84c5-c50a59615d32_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "94fe6b2a-a8f5-4e08-a0cb-818a1734b639", "image_1": "Perception/paired/94fe6b2a-a8f5-4e08-a0cb-818a1734b639_0.png", "image_2": "Perception/paired/94fe6b2a-a8f5-4e08-a0cb-818a1734b639_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "0ece68c7-811c-488e-824a-362445aecc5b", "image_1": "Perception/paired/0ece68c7-811c-488e-824a-362445aecc5b_0.png", "image_2": "Perception/paired/0ece68c7-811c-488e-824a-362445aecc5b_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "1626bf19-de27-4a34-b917-84c56218db8a", "image_1": "Perception/paired/1626bf19-de27-4a34-b917-84c56218db8a_0.png", "image_2": "Perception/paired/1626bf19-de27-4a34-b917-84c56218db8a_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "1eef95fd-ac91-4696-8a94-1fd94c0141e3", "image_1": "Perception/paired/1eef95fd-ac91-4696-8a94-1fd94c0141e3_0.png", "image_2": "Perception/paired/1eef95fd-ac91-4696-8a94-1fd94c0141e3_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "fd91b8f9-ba7d-4f03-9060-278e5afc889c", "image_1": "Perception/paired/fd91b8f9-ba7d-4f03-9060-278e5afc889c_0.png", "image_2": "Perception/paired/fd91b8f9-ba7d-4f03-9060-278e5afc889c_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "f7273e60-e44f-4a3e-a1b2-5d560cf8582d", "image_1": "Perception/paired/f7273e60-e44f-4a3e-a1b2-5d560cf8582d_0.png", "image_2": "Perception/paired/f7273e60-e44f-4a3e-a1b2-5d560cf8582d_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "333394dc-7041-438a-99b7-ec61614c496d", "image_1": "Perception/paired/333394dc-7041-438a-99b7-ec61614c496d_0.png", "image_2": "Perception/paired/333394dc-7041-438a-99b7-ec61614c496d_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "f6c8748e-d32e-416a-96f0-552618510c13", "image_1": "Perception/paired/f6c8748e-d32e-416a-96f0-552618510c13_0.png", "image_2": "Perception/paired/f6c8748e-d32e-416a-96f0-552618510c13_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "4418169b-3d12-478c-8231-8bd73eb1dc2e", "image_1": "Perception/paired/4418169b-3d12-478c-8231-8bd73eb1dc2e_0.png", "image_2": "Perception/paired/4418169b-3d12-478c-8231-8bd73eb1dc2e_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "1555ce42-81ff-4251-8eff-2cf02ccf9796", "image_1": "Perception/paired/1555ce42-81ff-4251-8eff-2cf02ccf9796_0.png", "image_2": "Perception/paired/1555ce42-81ff-4251-8eff-2cf02ccf9796_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable image stretching artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "eb797f4b-b4a2-498c-8967-c344daaa6a13", "image_1": "Perception/paired/eb797f4b-b4a2-498c-8967-c344daaa6a13_0.png", "image_2": "Perception/paired/eb797f4b-b4a2-498c-8967-c344daaa6a13_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "1a348bc8-2dac-4b6c-917a-93841d3af73e", "image_1": "Perception/paired/1a348bc8-2dac-4b6c-917a-93841d3af73e_0.png", "image_2": "Perception/paired/1a348bc8-2dac-4b6c-917a-93841d3af73e_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "a968d1e0-f315-4394-aac5-b05ea208c156", "image_1": "Perception/paired/a968d1e0-f315-4394-aac5-b05ea208c156_0.png", "image_2": "Perception/paired/a968d1e0-f315-4394-aac5-b05ea208c156_1.png", "question": "Does image stretching obscure details in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "28d320b6-8f70-45b2-8c44-eccc8e5164a0", "image_1": "Perception/paired/28d320b6-8f70-45b2-8c44-eccc8e5164a0_0.png", "image_2": "Perception/paired/28d320b6-8f70-45b2-8c44-eccc8e5164a0_1.png", "question": "Can image stretching be observed in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "d9ceed87-4285-4253-bb14-4bdbb26973ba", "image_1": "Perception/paired/d9ceed87-4285-4253-bb14-4bdbb26973ba_0.png", "image_2": "Perception/paired/d9ceed87-4285-4253-bb14-4bdbb26973ba_1.png", "question": "Is image stretching a dominant distortion in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "0b09e785-8e7e-4461-a26e-7ca52f979779", "image_1": "Perception/paired/0b09e785-8e7e-4461-a26e-7ca52f979779_0.png", "image_2": "Perception/paired/0b09e785-8e7e-4461-a26e-7ca52f979779_1.png", "question": "Does image stretching obscure details in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "7ccc44b4-be51-4fb1-9163-d26950764271", "image_1": "Perception/paired/7ccc44b4-be51-4fb1-9163-d26950764271_0.png", "image_2": "Perception/paired/7ccc44b4-be51-4fb1-9163-d26950764271_1.png", "question": "Does image stretching reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "c8ddf226-f07a-4d6d-99b4-483cccd445e5", "image_1": "Perception/paired/c8ddf226-f07a-4d6d-99b4-483cccd445e5_0.png", "image_2": "Perception/paired/c8ddf226-f07a-4d6d-99b4-483cccd445e5_1.png", "question": "Is image stretching present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "c88d5c53-aeb0-422d-afcb-88a4fbcee9ed", "image_1": "Perception/paired/c88d5c53-aeb0-422d-afcb-88a4fbcee9ed_0.png", "image_2": "Perception/paired/c88d5c53-aeb0-422d-afcb-88a4fbcee9ed_1.png", "question": "Is Image 2 impacted by image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "ab8db676-45a0-410b-aaf4-6fcefa97af73", "image_1": "Perception/paired/ab8db676-45a0-410b-aaf4-6fcefa97af73_0.png", "image_2": "Perception/paired/ab8db676-45a0-410b-aaf4-6fcefa97af73_1.png", "question": "Is there image stretching present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "3c14cd72-0f05-4803-971f-db4983164c48", "image_1": "Perception/paired/3c14cd72-0f05-4803-971f-db4983164c48_0.png", "image_2": "Perception/paired/3c14cd72-0f05-4803-971f-db4983164c48_1.png", "question": "Can image stretching be observed in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "603e0f54-f5c0-4205-a40c-0a710574bde2", "image_1": "Perception/paired/603e0f54-f5c0-4205-a40c-0a710574bde2_0.png", "image_2": "Perception/paired/603e0f54-f5c0-4205-a40c-0a710574bde2_1.png", "question": "Comparing to Image 1, does Image 2 contain image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "4e462cdf-4dd6-4214-83b9-c7c96cb0d762", "image_1": "Perception/paired/4e462cdf-4dd6-4214-83b9-c7c96cb0d762_0.png", "image_2": "Perception/paired/4e462cdf-4dd6-4214-83b9-c7c96cb0d762_1.png", "question": "Is Image 2 impacted by image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "f86e669e-25f0-4e38-96f4-53dafc284244", "image_1": "Perception/paired/f86e669e-25f0-4e38-96f4-53dafc284244_0.png", "image_2": "Perception/paired/f86e669e-25f0-4e38-96f4-53dafc284244_1.png", "question": "Does Image 2 contain image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "dab8d580-4104-4e77-90d9-f33222c1dbe1", "image_1": "Perception/paired/dab8d580-4104-4e77-90d9-f33222c1dbe1_0.png", "image_2": "Perception/paired/dab8d580-4104-4e77-90d9-f33222c1dbe1_1.png", "question": "Is there image stretching present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "29f2e84f-cf1d-4180-9993-d21a616ec94d", "image_1": "Perception/paired/29f2e84f-cf1d-4180-9993-d21a616ec94d_0.png", "image_2": "Perception/paired/29f2e84f-cf1d-4180-9993-d21a616ec94d_1.png", "question": "Can image stretching be observed in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "23d43afd-b2ca-48cd-a583-ee62e50b57bf", "image_1": "Perception/paired/23d43afd-b2ca-48cd-a583-ee62e50b57bf_0.png", "image_2": "Perception/paired/23d43afd-b2ca-48cd-a583-ee62e50b57bf_1.png", "question": "Does Image 2 show signs of image stretching relative to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "25b7fb67-ebf4-4de1-9be0-9d4508ae840b", "image_1": "Perception/paired/25b7fb67-ebf4-4de1-9be0-9d4508ae840b_0.png", "image_2": "Perception/paired/25b7fb67-ebf4-4de1-9be0-9d4508ae840b_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "98511ee6-e7d7-419f-b04a-f99c70c235a2", "image_1": "Perception/paired/98511ee6-e7d7-419f-b04a-f99c70c235a2_0.png", "image_2": "Perception/paired/98511ee6-e7d7-419f-b04a-f99c70c235a2_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "57847689-22bf-45e9-b2fd-addd583d520b", "image_1": "Perception/paired/57847689-22bf-45e9-b2fd-addd583d520b_0.png", "image_2": "Perception/paired/57847689-22bf-45e9-b2fd-addd583d520b_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "c1d25728-d879-4bb0-9ea1-ae5e5a039f0e", "image_1": "Perception/paired/c1d25728-d879-4bb0-9ea1-ae5e5a039f0e_0.png", "image_2": "Perception/paired/c1d25728-d879-4bb0-9ea1-ae5e5a039f0e_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "70166efb-48cb-4c25-b462-0cdbc0f2a192", "image_1": "Perception/paired/70166efb-48cb-4c25-b462-0cdbc0f2a192_0.png", "image_2": "Perception/paired/70166efb-48cb-4c25-b462-0cdbc0f2a192_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "833dbc76-2bc7-43a9-8fa7-ba28c852b8f5", "image_1": "Perception/paired/833dbc76-2bc7-43a9-8fa7-ba28c852b8f5_0.png", "image_2": "Perception/paired/833dbc76-2bc7-43a9-8fa7-ba28c852b8f5_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "d3e91032-f863-4976-9ef5-a2d32634fc94", "image_1": "Perception/paired/d3e91032-f863-4976-9ef5-a2d32634fc94_0.png", "image_2": "Perception/paired/d3e91032-f863-4976-9ef5-a2d32634fc94_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "a605bdec-2238-41c7-bac3-92b95d7972c0", "image_1": "Perception/paired/a605bdec-2238-41c7-bac3-92b95d7972c0_0.png", "image_2": "Perception/paired/a605bdec-2238-41c7-bac3-92b95d7972c0_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "b97112e9-05cf-49cc-ad9a-6ce324dad9ef", "image_1": "Perception/paired/b97112e9-05cf-49cc-ad9a-6ce324dad9ef_0.png", "image_2": "Perception/paired/b97112e9-05cf-49cc-ad9a-6ce324dad9ef_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "d0621911-fc49-46d7-ab6f-ed9d66490721", "image_1": "Perception/paired/d0621911-fc49-46d7-ab6f-ed9d66490721_0.png", "image_2": "Perception/paired/d0621911-fc49-46d7-ab6f-ed9d66490721_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "05de122d-b55a-4584-8175-8751c91a7e23", "image_1": "Perception/paired/05de122d-b55a-4584-8175-8751c91a7e23_0.png", "image_2": "Perception/paired/05de122d-b55a-4584-8175-8751c91a7e23_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "b3529b74-3e09-403c-bbac-560d1902df41", "image_1": "Perception/paired/b3529b74-3e09-403c-bbac-560d1902df41_0.png", "image_2": "Perception/paired/b3529b74-3e09-403c-bbac-560d1902df41_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "26296be6-2efe-4ab7-b95f-761cbc0143ab", "image_1": "Perception/paired/26296be6-2efe-4ab7-b95f-761cbc0143ab_0.png", "image_2": "Perception/paired/26296be6-2efe-4ab7-b95f-761cbc0143ab_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "dd76cf45-2321-4449-9ddb-7fb002ab1822", "image_1": "Perception/paired/dd76cf45-2321-4449-9ddb-7fb002ab1822_0.png", "image_2": "Perception/paired/dd76cf45-2321-4449-9ddb-7fb002ab1822_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "a401f9ba-6d2d-4cfe-874b-23ebaf0e5dee", "image_1": "Perception/paired/a401f9ba-6d2d-4cfe-874b-23ebaf0e5dee_0.png", "image_2": "Perception/paired/a401f9ba-6d2d-4cfe-874b-23ebaf0e5dee_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "1775bb36-5acd-4d7f-9894-b5ea0396d662", "image_1": "Perception/paired/1775bb36-5acd-4d7f-9894-b5ea0396d662_0.png", "image_2": "Perception/paired/1775bb36-5acd-4d7f-9894-b5ea0396d662_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "ec4a859e-48ff-4328-a7ea-2d1449b3326d", "image_1": "Perception/paired/ec4a859e-48ff-4328-a7ea-2d1449b3326d_0.png", "image_2": "Perception/paired/ec4a859e-48ff-4328-a7ea-2d1449b3326d_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "8bd17ff4-1e05-4554-9fcf-cc3a7b3178c9", "image_1": "Perception/paired/8bd17ff4-1e05-4554-9fcf-cc3a7b3178c9_0.png", "image_2": "Perception/paired/8bd17ff4-1e05-4554-9fcf-cc3a7b3178c9_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "c89a37e1-4186-4b3a-be59-5a408177cf32", "image_1": "Perception/paired/c89a37e1-4186-4b3a-be59-5a408177cf32_0.png", "image_2": "Perception/paired/c89a37e1-4186-4b3a-be59-5a408177cf32_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "ff331cf5-2b25-4872-9e2e-4089147f08e5", "image_1": "Perception/paired/ff331cf5-2b25-4872-9e2e-4089147f08e5_0.png", "image_2": "Perception/paired/ff331cf5-2b25-4872-9e2e-4089147f08e5_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "d145bc5a-3525-473f-b3f7-8b3932d0ff77", "image_1": "Perception/paired/d145bc5a-3525-473f-b3f7-8b3932d0ff77_0.png", "image_2": "Perception/paired/d145bc5a-3525-473f-b3f7-8b3932d0ff77_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "e14e1910-d170-4060-9583-cc0c776952d1", "image_1": "Perception/paired/e14e1910-d170-4060-9583-cc0c776952d1_0.png", "image_2": "Perception/paired/e14e1910-d170-4060-9583-cc0c776952d1_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "9773333b-c636-4f2d-9bd8-7e5399401bcb", "image_1": "Perception/paired/9773333b-c636-4f2d-9bd8-7e5399401bcb_0.png", "image_2": "Perception/paired/9773333b-c636-4f2d-9bd8-7e5399401bcb_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "404d1f0b-4976-4cd4-8b8a-7353d681758f", "image_1": "Perception/paired/404d1f0b-4976-4cd4-8b8a-7353d681758f_0.png", "image_2": "Perception/paired/404d1f0b-4976-4cd4-8b8a-7353d681758f_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "1b7453aa-398a-4b88-9fd7-c085a4fc8055", "image_1": "Perception/paired/1b7453aa-398a-4b88-9fd7-c085a4fc8055_0.png", "image_2": "Perception/paired/1b7453aa-398a-4b88-9fd7-c085a4fc8055_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "7aba9ede-1924-416b-a12a-cf3a77173f72", "image_1": "Perception/paired/7aba9ede-1924-416b-a12a-cf3a77173f72_0.png", "image_2": "Perception/paired/7aba9ede-1924-416b-a12a-cf3a77173f72_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "7daee471-a05d-452f-8ace-b2c83086d86c", "image_1": "Perception/paired/7daee471-a05d-452f-8ace-b2c83086d86c_0.png", "image_2": "Perception/paired/7daee471-a05d-452f-8ace-b2c83086d86c_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "216812b9-f59b-4f12-924a-01785fedbc17", "image_1": "Perception/paired/216812b9-f59b-4f12-924a-01785fedbc17_0.png", "image_2": "Perception/paired/216812b9-f59b-4f12-924a-01785fedbc17_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "2bb4b930-3eda-42c1-8a34-3d5f91396312", "image_1": "Perception/paired/2bb4b930-3eda-42c1-8a34-3d5f91396312_0.png", "image_2": "Perception/paired/2bb4b930-3eda-42c1-8a34-3d5f91396312_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "c84b33a5-9ded-4e40-b6c8-5f388abb0fc7", "image_1": "Perception/paired/c84b33a5-9ded-4e40-b6c8-5f388abb0fc7_0.png", "image_2": "Perception/paired/c84b33a5-9ded-4e40-b6c8-5f388abb0fc7_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "1a8c59c6-bf66-436d-b1c2-0eea2a91e802", "image_1": "Perception/paired/1a8c59c6-bf66-436d-b1c2-0eea2a91e802_0.png", "image_2": "Perception/paired/1a8c59c6-bf66-436d-b1c2-0eea2a91e802_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "d9308e39-4352-48d0-9ffe-f569aae6bb2f", "image_1": "Perception/paired/d9308e39-4352-48d0-9ffe-f569aae6bb2f_0.png", "image_2": "Perception/paired/d9308e39-4352-48d0-9ffe-f569aae6bb2f_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "9f7e5884-1d1e-4ae6-ab04-de82f38b8aa1", "image_1": "Perception/paired/9f7e5884-1d1e-4ae6-ab04-de82f38b8aa1_0.png", "image_2": "Perception/paired/9f7e5884-1d1e-4ae6-ab04-de82f38b8aa1_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "76c0e35e-8d93-42fb-bfce-eb18760d61bf", "image_1": "Perception/paired/76c0e35e-8d93-42fb-bfce-eb18760d61bf_0.png", "image_2": "Perception/paired/76c0e35e-8d93-42fb-bfce-eb18760d61bf_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "766c8695-c3cc-44ef-842e-8d9708f47add", "image_1": "Perception/paired/766c8695-c3cc-44ef-842e-8d9708f47add_0.png", "image_2": "Perception/paired/766c8695-c3cc-44ef-842e-8d9708f47add_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "a578438e-a155-4ee2-ab2f-8d045d0b58c6", "image_1": "Perception/paired/a578438e-a155-4ee2-ab2f-8d045d0b58c6_0.png", "image_2": "Perception/paired/a578438e-a155-4ee2-ab2f-8d045d0b58c6_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "6251ef63-b7b1-4698-a1c0-c7920311e8c3", "image_1": "Perception/paired/6251ef63-b7b1-4698-a1c0-c7920311e8c3_0.png", "image_2": "Perception/paired/6251ef63-b7b1-4698-a1c0-c7920311e8c3_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "757270cd-cb64-4ae3-abea-120fc72092c8", "image_1": "Perception/paired/757270cd-cb64-4ae3-abea-120fc72092c8_0.png", "image_2": "Perception/paired/757270cd-cb64-4ae3-abea-120fc72092c8_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "228e5249-3756-4e7b-a45e-c9b0665403f9", "image_1": "Perception/paired/228e5249-3756-4e7b-a45e-c9b0665403f9_0.png", "image_2": "Perception/paired/228e5249-3756-4e7b-a45e-c9b0665403f9_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "73fae0f2-3d9f-4ac3-845d-e2f8e58170a8", "image_1": "Perception/paired/73fae0f2-3d9f-4ac3-845d-e2f8e58170a8_0.png", "image_2": "Perception/paired/73fae0f2-3d9f-4ac3-845d-e2f8e58170a8_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "4b69fbb6-f9af-4d09-9c4c-570f5f5f656b", "image_1": "Perception/paired/4b69fbb6-f9af-4d09-9c4c-570f5f5f656b_0.png", "image_2": "Perception/paired/4b69fbb6-f9af-4d09-9c4c-570f5f5f656b_1.png", "question": "Does Image 2 exhibit dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "69e8c51d-fdfa-4bf7-b750-342a7bf5536b", "image_1": "Perception/paired/69e8c51d-fdfa-4bf7-b750-342a7bf5536b_0.png", "image_2": "Perception/paired/69e8c51d-fdfa-4bf7-b750-342a7bf5536b_1.png", "question": "Is dead pixel a dominant distortion in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "ec4565d6-2cd5-41a2-9ba1-f123a1f3aa09", "image_1": "Perception/paired/ec4565d6-2cd5-41a2-9ba1-f123a1f3aa09_0.png", "image_2": "Perception/paired/ec4565d6-2cd5-41a2-9ba1-f123a1f3aa09_1.png", "question": "Is dead pixel the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "ef96f149-88cc-46b0-9fc2-d4143fe9072e", "image_1": "Perception/paired/ef96f149-88cc-46b0-9fc2-d4143fe9072e_0.png", "image_2": "Perception/paired/ef96f149-88cc-46b0-9fc2-d4143fe9072e_1.png", "question": "Does Image 2 exhibit dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "6f351e1f-8886-45fc-81d9-432d18344acc", "image_1": "Perception/paired/6f351e1f-8886-45fc-81d9-432d18344acc_0.png", "image_2": "Perception/paired/6f351e1f-8886-45fc-81d9-432d18344acc_1.png", "question": "Is dead pixel the primary source of degradation in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "5d6cb50e-a5a1-4e3c-9cd8-812b25842ca4", "image_1": "Perception/paired/5d6cb50e-a5a1-4e3c-9cd8-812b25842ca4_0.png", "image_2": "Perception/paired/5d6cb50e-a5a1-4e3c-9cd8-812b25842ca4_1.png", "question": "Does dead pixel compromise the data integrity of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "5977e9aa-b048-42c9-bf33-8d5876999e65", "image_1": "Perception/paired/5977e9aa-b048-42c9-bf33-8d5876999e65_0.png", "image_2": "Perception/paired/5977e9aa-b048-42c9-bf33-8d5876999e65_1.png", "question": "Does dead pixel lead to information loss in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "02a53650-bd21-4280-87ef-5f88c6744d06", "image_1": "Perception/paired/02a53650-bd21-4280-87ef-5f88c6744d06_0.png", "image_2": "Perception/paired/02a53650-bd21-4280-87ef-5f88c6744d06_1.png", "question": "Does dead pixel interfere with interpretation of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "91b8d237-94bf-4328-b6bf-de710633adab", "image_1": "Perception/paired/91b8d237-94bf-4328-b6bf-de710633adab_0.png", "image_2": "Perception/paired/91b8d237-94bf-4328-b6bf-de710633adab_1.png", "question": "Does dead pixel result in missing information in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "9cac9ec1-fa6b-4ef1-8332-06ae2785b1b7", "image_1": "Perception/paired/9cac9ec1-fa6b-4ef1-8332-06ae2785b1b7_0.png", "image_2": "Perception/paired/9cac9ec1-fa6b-4ef1-8332-06ae2785b1b7_1.png", "question": "Is dead pixel the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "6f63435e-afd9-41d8-a9a2-0409698ddd26", "image_1": "Perception/paired/6f63435e-afd9-41d8-a9a2-0409698ddd26_0.png", "image_2": "Perception/paired/6f63435e-afd9-41d8-a9a2-0409698ddd26_1.png", "question": "Is dead pixel a critical issue in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "29a61e34-a83b-4372-93cf-915f121c126b", "image_1": "Perception/paired/29a61e34-a83b-4372-93cf-915f121c126b_0.png", "image_2": "Perception/paired/29a61e34-a83b-4372-93cf-915f121c126b_1.png", "question": "Is dead pixel responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "b1960f1b-eebd-4a62-ac1c-cc1ec31aac33", "image_1": "Perception/paired/b1960f1b-eebd-4a62-ac1c-cc1ec31aac33_0.png", "image_2": "Perception/paired/b1960f1b-eebd-4a62-ac1c-cc1ec31aac33_1.png", "question": "Is dead pixel visible in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "576bc30c-0bbf-4207-bfbe-21a556d14f48", "image_1": "Perception/paired/576bc30c-0bbf-4207-bfbe-21a556d14f48_0.png", "image_2": "Perception/paired/576bc30c-0bbf-4207-bfbe-21a556d14f48_1.png", "question": "Is dead pixel responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "781ff94f-18c8-493d-90b1-970f8ee5f1cf", "image_1": "Perception/paired/781ff94f-18c8-493d-90b1-970f8ee5f1cf_0.png", "image_2": "Perception/paired/781ff94f-18c8-493d-90b1-970f8ee5f1cf_1.png", "question": "Does dead pixel reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "68635460-6ef2-44be-9f44-910f638b3c5e", "image_1": "Perception/paired/68635460-6ef2-44be-9f44-910f638b3c5e_0.png", "image_2": "Perception/paired/68635460-6ef2-44be-9f44-910f638b3c5e_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "74183bec-5981-4a90-93b0-6bcbe74862bd", "image_1": "Perception/paired/74183bec-5981-4a90-93b0-6bcbe74862bd_0.png", "image_2": "Perception/paired/74183bec-5981-4a90-93b0-6bcbe74862bd_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "d70933b1-bec9-479d-b81a-fc54fa25f7d5", "image_1": "Perception/paired/d70933b1-bec9-479d-b81a-fc54fa25f7d5_0.png", "image_2": "Perception/paired/d70933b1-bec9-479d-b81a-fc54fa25f7d5_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "e04b24e9-2793-4191-b5d1-9205608722d9", "image_1": "Perception/paired/e04b24e9-2793-4191-b5d1-9205608722d9_0.png", "image_2": "Perception/paired/e04b24e9-2793-4191-b5d1-9205608722d9_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "4c20de91-8659-41fd-829f-1e673d398a99", "image_1": "Perception/paired/4c20de91-8659-41fd-829f-1e673d398a99_0.png", "image_2": "Perception/paired/4c20de91-8659-41fd-829f-1e673d398a99_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "66c35112-2a8d-46d4-988f-374a3bd672cb", "image_1": "Perception/paired/66c35112-2a8d-46d4-988f-374a3bd672cb_0.png", "image_2": "Perception/paired/66c35112-2a8d-46d4-988f-374a3bd672cb_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "272c7047-4bc5-49d7-ac50-5fd59b1534fc", "image_1": "Perception/paired/272c7047-4bc5-49d7-ac50-5fd59b1534fc_0.png", "image_2": "Perception/paired/272c7047-4bc5-49d7-ac50-5fd59b1534fc_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "318c3cbb-b9a0-4cc3-ad11-0aa57f25be8a", "image_1": "Perception/paired/318c3cbb-b9a0-4cc3-ad11-0aa57f25be8a_0.png", "image_2": "Perception/paired/318c3cbb-b9a0-4cc3-ad11-0aa57f25be8a_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "f2786652-ae77-4c6a-a9c2-c3ec867a9ab3", "image_1": "Perception/paired/f2786652-ae77-4c6a-a9c2-c3ec867a9ab3_0.png", "image_2": "Perception/paired/f2786652-ae77-4c6a-a9c2-c3ec867a9ab3_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "39ffd548-d5fc-4dcb-8c1b-2fc98f42c6e5", "image_1": "Perception/paired/39ffd548-d5fc-4dcb-8c1b-2fc98f42c6e5_0.png", "image_2": "Perception/paired/39ffd548-d5fc-4dcb-8c1b-2fc98f42c6e5_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "a66975eb-aab4-4bf6-9587-340d746af683", "image_1": "Perception/paired/a66975eb-aab4-4bf6-9587-340d746af683_0.png", "image_2": "Perception/paired/a66975eb-aab4-4bf6-9587-340d746af683_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "369b963b-d786-49cc-98ab-1cef2eaba87c", "image_1": "Perception/paired/369b963b-d786-49cc-98ab-1cef2eaba87c_0.png", "image_2": "Perception/paired/369b963b-d786-49cc-98ab-1cef2eaba87c_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "834cbcb7-81a2-4fc8-9f9e-cd329b6795b1", "image_1": "Perception/paired/834cbcb7-81a2-4fc8-9f9e-cd329b6795b1_0.png", "image_2": "Perception/paired/834cbcb7-81a2-4fc8-9f9e-cd329b6795b1_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "f957e2dd-e63b-49f0-9f23-96955f88d745", "image_1": "Perception/paired/f957e2dd-e63b-49f0-9f23-96955f88d745_0.png", "image_2": "Perception/paired/f957e2dd-e63b-49f0-9f23-96955f88d745_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "3435a62a-38f0-4766-af77-e46a418c9e48", "image_1": "Perception/paired/3435a62a-38f0-4766-af77-e46a418c9e48_0.png", "image_2": "Perception/paired/3435a62a-38f0-4766-af77-e46a418c9e48_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "305aba7e-5b16-44b8-8284-b4e30fecdc3f", "image_1": "Perception/paired/305aba7e-5b16-44b8-8284-b4e30fecdc3f_0.png", "image_2": "Perception/paired/305aba7e-5b16-44b8-8284-b4e30fecdc3f_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "d6bed278-039e-470e-b1be-1cf3e0882a23", "image_1": "Perception/paired/d6bed278-039e-470e-b1be-1cf3e0882a23_0.png", "image_2": "Perception/paired/d6bed278-039e-470e-b1be-1cf3e0882a23_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "c51400cf-534e-49e7-a8f0-b8108c5e2334", "image_1": "Perception/paired/c51400cf-534e-49e7-a8f0-b8108c5e2334_0.png", "image_2": "Perception/paired/c51400cf-534e-49e7-a8f0-b8108c5e2334_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "01faeacc-ae17-4380-a283-dc2a2d25610a", "image_1": "Perception/paired/01faeacc-ae17-4380-a283-dc2a2d25610a_0.png", "image_2": "Perception/paired/01faeacc-ae17-4380-a283-dc2a2d25610a_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "ca3cdcbe-8630-45d0-821d-a9c19ed55a2b", "image_1": "Perception/paired/ca3cdcbe-8630-45d0-821d-a9c19ed55a2b_0.png", "image_2": "Perception/paired/ca3cdcbe-8630-45d0-821d-a9c19ed55a2b_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "72fe0024-1801-4b36-b330-9d7c2de6af4a", "image_1": "Perception/paired/72fe0024-1801-4b36-b330-9d7c2de6af4a_0.png", "image_2": "Perception/paired/72fe0024-1801-4b36-b330-9d7c2de6af4a_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "32bf8087-eda6-40c4-892f-6a93c1d3bf19", "image_1": "Perception/paired/32bf8087-eda6-40c4-892f-6a93c1d3bf19_0.png", "image_2": "Perception/paired/32bf8087-eda6-40c4-892f-6a93c1d3bf19_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "31b5a9b7-367c-46a0-9c96-2c12905f124f", "image_1": "Perception/paired/31b5a9b7-367c-46a0-9c96-2c12905f124f_0.png", "image_2": "Perception/paired/31b5a9b7-367c-46a0-9c96-2c12905f124f_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "343daeb6-30b0-4530-9aea-b3ab49f85c9a", "image_1": "Perception/paired/343daeb6-30b0-4530-9aea-b3ab49f85c9a_0.png", "image_2": "Perception/paired/343daeb6-30b0-4530-9aea-b3ab49f85c9a_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "32341e0e-6110-4ab5-9411-5ef6b1eb231b", "image_1": "Perception/paired/32341e0e-6110-4ab5-9411-5ef6b1eb231b_0.png", "image_2": "Perception/paired/32341e0e-6110-4ab5-9411-5ef6b1eb231b_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "456c1a6b-df59-482b-870a-d58f9d2f1b39", "image_1": "Perception/paired/456c1a6b-df59-482b-870a-d58f9d2f1b39_0.png", "image_2": "Perception/paired/456c1a6b-df59-482b-870a-d58f9d2f1b39_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "e57ee1ad-38e9-4dce-be62-f3b88351dc48", "image_1": "Perception/paired/e57ee1ad-38e9-4dce-be62-f3b88351dc48_0.png", "image_2": "Perception/paired/e57ee1ad-38e9-4dce-be62-f3b88351dc48_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "95e92a0d-9470-4dbf-955d-dc084473687d", "image_1": "Perception/paired/95e92a0d-9470-4dbf-955d-dc084473687d_0.png", "image_2": "Perception/paired/95e92a0d-9470-4dbf-955d-dc084473687d_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "c6da9d2c-8726-484b-9272-ce905dd70efd", "image_1": "Perception/paired/c6da9d2c-8726-484b-9272-ce905dd70efd_0.png", "image_2": "Perception/paired/c6da9d2c-8726-484b-9272-ce905dd70efd_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "211e47a0-ecad-4c77-a471-723943448623", "image_1": "Perception/paired/211e47a0-ecad-4c77-a471-723943448623_0.png", "image_2": "Perception/paired/211e47a0-ecad-4c77-a471-723943448623_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "0cc8418c-1d80-43be-aa90-f03e55ca4abd", "image_1": "Perception/paired/0cc8418c-1d80-43be-aa90-f03e55ca4abd_0.png", "image_2": "Perception/paired/0cc8418c-1d80-43be-aa90-f03e55ca4abd_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "b02b51df-eafe-4b03-bb33-aa08637edf5a", "image_1": "Perception/paired/b02b51df-eafe-4b03-bb33-aa08637edf5a_0.png", "image_2": "Perception/paired/b02b51df-eafe-4b03-bb33-aa08637edf5a_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "2b76961f-869e-4fc7-bec6-018c88cad9c4", "image_1": "Perception/paired/2b76961f-869e-4fc7-bec6-018c88cad9c4_0.png", "image_2": "Perception/paired/2b76961f-869e-4fc7-bec6-018c88cad9c4_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "bfb9cad1-2476-4e7f-a7dc-e448fabbd716", "image_1": "Perception/paired/bfb9cad1-2476-4e7f-a7dc-e448fabbd716_0.png", "image_2": "Perception/paired/bfb9cad1-2476-4e7f-a7dc-e448fabbd716_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "5b63361c-cc1f-421d-95ef-376f2421342c", "image_1": "Perception/paired/5b63361c-cc1f-421d-95ef-376f2421342c_0.png", "image_2": "Perception/paired/5b63361c-cc1f-421d-95ef-376f2421342c_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "7d227277-666c-4bb0-8696-5cc413fc0902", "image_1": "Perception/paired/7d227277-666c-4bb0-8696-5cc413fc0902_0.png", "image_2": "Perception/paired/7d227277-666c-4bb0-8696-5cc413fc0902_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "636b8a83-4fd0-493c-95bb-a86812a0f339", "image_1": "Perception/paired/636b8a83-4fd0-493c-95bb-a86812a0f339_0.png", "image_2": "Perception/paired/636b8a83-4fd0-493c-95bb-a86812a0f339_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "6da2efa7-f69e-4490-bbfe-799873a714ee", "image_1": "Perception/paired/6da2efa7-f69e-4490-bbfe-799873a714ee_0.png", "image_2": "Perception/paired/6da2efa7-f69e-4490-bbfe-799873a714ee_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable dead pixel artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "7bd34bd7-cc01-48b1-b212-0a419a7a4516", "image_1": "Perception/paired/7bd34bd7-cc01-48b1-b212-0a419a7a4516_0.png", "image_2": "Perception/paired/7bd34bd7-cc01-48b1-b212-0a419a7a4516_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "e62cf720-52e4-4b65-87fa-0288dc9feaea", "image_1": "Perception/paired/e62cf720-52e4-4b65-87fa-0288dc9feaea_0.png", "image_2": "Perception/paired/e62cf720-52e4-4b65-87fa-0288dc9feaea_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "a3c3b433-44be-484a-b068-94109c622228", "image_1": "Perception/paired/a3c3b433-44be-484a-b068-94109c622228_0.png", "image_2": "Perception/paired/a3c3b433-44be-484a-b068-94109c622228_1.png", "question": "Does dead pixel reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "3ebe4ff3-7611-4c50-be97-52cc75cc5982", "image_1": "Perception/paired/3ebe4ff3-7611-4c50-be97-52cc75cc5982_0.png", "image_2": "Perception/paired/3ebe4ff3-7611-4c50-be97-52cc75cc5982_1.png", "question": "Does dead pixel lead to information loss in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "adb437a5-75b5-49c4-82ac-4a5f85fbb8cb", "image_1": "Perception/paired/adb437a5-75b5-49c4-82ac-4a5f85fbb8cb_0.png", "image_2": "Perception/paired/adb437a5-75b5-49c4-82ac-4a5f85fbb8cb_1.png", "question": "Does dead pixel reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "52d5801a-49c4-405e-9bcf-f9e691991c3d", "image_1": "Perception/paired/52d5801a-49c4-405e-9bcf-f9e691991c3d_0.png", "image_2": "Perception/paired/52d5801a-49c4-405e-9bcf-f9e691991c3d_1.png", "question": "Is dead pixel a dominant distortion in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "3f86c5b8-169b-46ff-b389-b9316cdfbd65", "image_1": "Perception/paired/3f86c5b8-169b-46ff-b389-b9316cdfbd65_0.png", "image_2": "Perception/paired/3f86c5b8-169b-46ff-b389-b9316cdfbd65_1.png", "question": "Is dead pixel responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "53bc2c9b-7ea4-4e6d-a5da-660f1d582314", "image_1": "Perception/paired/53bc2c9b-7ea4-4e6d-a5da-660f1d582314_0.png", "image_2": "Perception/paired/53bc2c9b-7ea4-4e6d-a5da-660f1d582314_1.png", "question": "Is Image 2 impacted by dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "be0a385f-3f74-46a5-b061-551357a1a2f0", "image_1": "Perception/paired/be0a385f-3f74-46a5-b061-551357a1a2f0_0.png", "image_2": "Perception/paired/be0a385f-3f74-46a5-b061-551357a1a2f0_1.png", "question": "Does Image 2 exhibit dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "c48a18b7-bb2b-4b26-86d0-5c58ce681254", "image_1": "Perception/paired/c48a18b7-bb2b-4b26-86d0-5c58ce681254_0.png", "image_2": "Perception/paired/c48a18b7-bb2b-4b26-86d0-5c58ce681254_1.png", "question": "Does dead pixel reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "d7f008b8-e171-462e-b318-b27498057a98", "image_1": "Perception/paired/d7f008b8-e171-462e-b318-b27498057a98_0.png", "image_2": "Perception/paired/d7f008b8-e171-462e-b318-b27498057a98_1.png", "question": "Does dead pixel interfere with interpretation of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "b3b08def-a147-4478-affb-f48474eac90b", "image_1": "Perception/paired/b3b08def-a147-4478-affb-f48474eac90b_0.png", "image_2": "Perception/paired/b3b08def-a147-4478-affb-f48474eac90b_1.png", "question": "Is dead pixel a critical issue in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "13b97f8a-5bb5-4f81-868f-3cdc04f6100e", "image_1": "Perception/paired/13b97f8a-5bb5-4f81-868f-3cdc04f6100e_0.png", "image_2": "Perception/paired/13b97f8a-5bb5-4f81-868f-3cdc04f6100e_1.png", "question": "Does dead pixel interfere with interpretation of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "f33bf10d-a445-4a40-b22d-8833c7b95468", "image_1": "Perception/paired/f33bf10d-a445-4a40-b22d-8833c7b95468_0.png", "image_2": "Perception/paired/f33bf10d-a445-4a40-b22d-8833c7b95468_1.png", "question": "Does dead pixel affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "6e614201-0e46-44cf-967c-4bddf5cf6c45", "image_1": "Perception/paired/6e614201-0e46-44cf-967c-4bddf5cf6c45_0.png", "image_2": "Perception/paired/6e614201-0e46-44cf-967c-4bddf5cf6c45_1.png", "question": "Does Image 2 exhibit dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "bab4d615-682d-4c0e-9e5f-02467c3b6a95", "image_1": "Perception/paired/bab4d615-682d-4c0e-9e5f-02467c3b6a95_0.png", "image_2": "Perception/paired/bab4d615-682d-4c0e-9e5f-02467c3b6a95_1.png", "question": "Does dead pixel reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "8f89123b-ea62-4c0e-889f-3f60d8ae4b59", "image_1": "Perception/paired/8f89123b-ea62-4c0e-889f-3f60d8ae4b59_0.png", "image_2": "Perception/paired/8f89123b-ea62-4c0e-889f-3f60d8ae4b59_1.png", "question": "Is dead pixel responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "d71e4ccd-5e6c-4715-a79a-782e29785bf9", "image_1": "Perception/paired/d71e4ccd-5e6c-4715-a79a-782e29785bf9_0.png", "image_2": "Perception/paired/d71e4ccd-5e6c-4715-a79a-782e29785bf9_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "5751f162-068e-4fd8-8ee4-e0c8d8b5913b", "image_1": "Perception/paired/5751f162-068e-4fd8-8ee4-e0c8d8b5913b_0.png", "image_2": "Perception/paired/5751f162-068e-4fd8-8ee4-e0c8d8b5913b_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable missing tiles artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "c9304750-60c6-4943-bc54-3fed8817c06c", "image_1": "Perception/paired/c9304750-60c6-4943-bc54-3fed8817c06c_0.png", "image_2": "Perception/paired/c9304750-60c6-4943-bc54-3fed8817c06c_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable missing tiles artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "18489a4d-7541-49d9-a45b-cb9e5e37fdb6", "image_1": "Perception/paired/18489a4d-7541-49d9-a45b-cb9e5e37fdb6_0.png", "image_2": "Perception/paired/18489a4d-7541-49d9-a45b-cb9e5e37fdb6_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "28bb2d89-e5c0-42a0-b702-58f18a61767b", "image_1": "Perception/paired/28bb2d89-e5c0-42a0-b702-58f18a61767b_0.png", "image_2": "Perception/paired/28bb2d89-e5c0-42a0-b702-58f18a61767b_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "7e3eca4a-569b-4017-90b8-246f21326549", "image_1": "Perception/paired/7e3eca4a-569b-4017-90b8-246f21326549_0.png", "image_2": "Perception/paired/7e3eca4a-569b-4017-90b8-246f21326549_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "e4505b5e-566d-48f0-9f47-cb1bb90282b2", "image_1": "Perception/paired/e4505b5e-566d-48f0-9f47-cb1bb90282b2_0.png", "image_2": "Perception/paired/e4505b5e-566d-48f0-9f47-cb1bb90282b2_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "7c6896e9-534f-4bde-b35a-eac19c9cff17", "image_1": "Perception/paired/7c6896e9-534f-4bde-b35a-eac19c9cff17_0.png", "image_2": "Perception/paired/7c6896e9-534f-4bde-b35a-eac19c9cff17_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "2b225b27-65f9-4a97-baa7-206024eacd49", "image_1": "Perception/paired/2b225b27-65f9-4a97-baa7-206024eacd49_0.png", "image_2": "Perception/paired/2b225b27-65f9-4a97-baa7-206024eacd49_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "5986143e-97c4-4cf0-86d8-9291bcf12a5b", "image_1": "Perception/paired/5986143e-97c4-4cf0-86d8-9291bcf12a5b_0.png", "image_2": "Perception/paired/5986143e-97c4-4cf0-86d8-9291bcf12a5b_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable missing tiles artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "6b63abc5-d58d-4381-aff0-6fde3ad5c3d6", "image_1": "Perception/paired/6b63abc5-d58d-4381-aff0-6fde3ad5c3d6_0.png", "image_2": "Perception/paired/6b63abc5-d58d-4381-aff0-6fde3ad5c3d6_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "ba162ec9-237d-409c-9eb9-c1e70251fa11", "image_1": "Perception/paired/ba162ec9-237d-409c-9eb9-c1e70251fa11_0.png", "image_2": "Perception/paired/ba162ec9-237d-409c-9eb9-c1e70251fa11_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "4dbd0e98-e3e3-4780-8af8-bf1d722f2508", "image_1": "Perception/paired/4dbd0e98-e3e3-4780-8af8-bf1d722f2508_0.png", "image_2": "Perception/paired/4dbd0e98-e3e3-4780-8af8-bf1d722f2508_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of missing tiles?\nA.Yes\nB.No", "answer": "A"}
{"id": "c48a453d-6e5f-4b24-8bd5-dc52538a80ff", "image_1": "Perception/paired/c48a453d-6e5f-4b24-8bd5-dc52538a80ff_0.png", "image_2": "Perception/paired/c48a453d-6e5f-4b24-8bd5-dc52538a80ff_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable missing tiles artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "9e9845cc-0940-48a1-af38-64104cdd9753", "image_1": "Perception/paired/9e9845cc-0940-48a1-af38-64104cdd9753_0.png", "image_2": "Perception/paired/9e9845cc-0940-48a1-af38-64104cdd9753_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of missing tiles?\nA.Yes\nB.No", "answer": "A"}
{"id": "5a30c8b1-5956-44ff-8fe6-cc36b70555a3", "image_1": "Perception/paired/5a30c8b1-5956-44ff-8fe6-cc36b70555a3_0.png", "image_2": "Perception/paired/5a30c8b1-5956-44ff-8fe6-cc36b70555a3_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "1d7b1f54-f1d6-436a-aa8b-bc40cfeeac7c", "image_1": "Perception/paired/1d7b1f54-f1d6-436a-aa8b-bc40cfeeac7c_0.png", "image_2": "Perception/paired/1d7b1f54-f1d6-436a-aa8b-bc40cfeeac7c_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable missing tiles artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "f3689361-fb68-4b27-8ac6-bc92c8d72858", "image_1": "Perception/paired/f3689361-fb68-4b27-8ac6-bc92c8d72858_0.png", "image_2": "Perception/paired/f3689361-fb68-4b27-8ac6-bc92c8d72858_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable missing tiles artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "2cb2bbb4-b93b-445f-b8a3-a21e8fdd2a50", "image_1": "Perception/paired/2cb2bbb4-b93b-445f-b8a3-a21e8fdd2a50_0.png", "image_2": "Perception/paired/2cb2bbb4-b93b-445f-b8a3-a21e8fdd2a50_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable missing tiles artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "d3b49f59-d043-4203-82a4-8398ce191ca4", "image_1": "Perception/paired/d3b49f59-d043-4203-82a4-8398ce191ca4_0.png", "image_2": "Perception/paired/d3b49f59-d043-4203-82a4-8398ce191ca4_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "10d8aa04-d9f7-48f3-99b9-d834860ea9f0", "image_1": "Perception/paired/10d8aa04-d9f7-48f3-99b9-d834860ea9f0_0.png", "image_2": "Perception/paired/10d8aa04-d9f7-48f3-99b9-d834860ea9f0_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "7ff3dd45-d707-4a44-b075-6ecd37ea45e1", "image_1": "Perception/paired/7ff3dd45-d707-4a44-b075-6ecd37ea45e1_0.png", "image_2": "Perception/paired/7ff3dd45-d707-4a44-b075-6ecd37ea45e1_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of missing tiles?\nA.Yes\nB.No", "answer": "A"}
{"id": "5764865d-ae43-4b35-bcba-beb1d9071697", "image_1": "Perception/paired/5764865d-ae43-4b35-bcba-beb1d9071697_0.png", "image_2": "Perception/paired/5764865d-ae43-4b35-bcba-beb1d9071697_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of missing tiles?\nA.Yes\nB.No", "answer": "A"}
{"id": "459a00c0-be99-47fd-923e-a6002e9281cd", "image_1": "Perception/paired/459a00c0-be99-47fd-923e-a6002e9281cd_0.png", "image_2": "Perception/paired/459a00c0-be99-47fd-923e-a6002e9281cd_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable missing tiles artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "ae4c7785-6a63-4af6-b5d0-8a9ce5a8c319", "image_1": "Perception/paired/ae4c7785-6a63-4af6-b5d0-8a9ce5a8c319_0.png", "image_2": "Perception/paired/ae4c7785-6a63-4af6-b5d0-8a9ce5a8c319_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of missing tiles?\nA.Yes\nB.No", "answer": "A"}
{"id": "f4ccb57a-28a3-4a3e-b81e-6d1830c681be", "image_1": "Perception/paired/f4ccb57a-28a3-4a3e-b81e-6d1830c681be_0.png", "image_2": "Perception/paired/f4ccb57a-28a3-4a3e-b81e-6d1830c681be_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "b1967919-bbc1-4a88-94b9-72a372faa4fd", "image_1": "Perception/paired/b1967919-bbc1-4a88-94b9-72a372faa4fd_0.png", "image_2": "Perception/paired/b1967919-bbc1-4a88-94b9-72a372faa4fd_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "a0049e52-da3f-4acd-a655-2853522b66b1", "image_1": "Perception/paired/a0049e52-da3f-4acd-a655-2853522b66b1_0.png", "image_2": "Perception/paired/a0049e52-da3f-4acd-a655-2853522b66b1_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "25e86cc8-4f56-4fb3-aa0d-5211748a48f4", "image_1": "Perception/paired/25e86cc8-4f56-4fb3-aa0d-5211748a48f4_0.png", "image_2": "Perception/paired/25e86cc8-4f56-4fb3-aa0d-5211748a48f4_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "ac7b198c-3ac9-4450-a6c8-2f7b6480b514", "image_1": "Perception/paired/ac7b198c-3ac9-4450-a6c8-2f7b6480b514_0.png", "image_2": "Perception/paired/ac7b198c-3ac9-4450-a6c8-2f7b6480b514_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of missing tiles?\nA.Yes\nB.No", "answer": "A"}
{"id": "e1874ab2-db27-4277-9524-39abf6c6852f", "image_1": "Perception/paired/e1874ab2-db27-4277-9524-39abf6c6852f_0.png", "image_2": "Perception/paired/e1874ab2-db27-4277-9524-39abf6c6852f_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "03afd1de-2a65-46e2-864e-0c262580140f", "image_1": "Perception/paired/03afd1de-2a65-46e2-864e-0c262580140f_0.png", "image_2": "Perception/paired/03afd1de-2a65-46e2-864e-0c262580140f_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "ab0ca835-a999-47a5-a34d-374c93cf98ba", "image_1": "Perception/paired/ab0ca835-a999-47a5-a34d-374c93cf98ba_0.png", "image_2": "Perception/paired/ab0ca835-a999-47a5-a34d-374c93cf98ba_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "74657cbb-6df6-45f4-ba41-9969284b9fe4", "image_1": "Perception/paired/74657cbb-6df6-45f4-ba41-9969284b9fe4_0.png", "image_2": "Perception/paired/74657cbb-6df6-45f4-ba41-9969284b9fe4_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of missing tiles?\nA.Yes\nB.No", "answer": "A"}
{"id": "c49e1aba-a776-4bfa-bd38-66e2b3239111", "image_1": "Perception/paired/c49e1aba-a776-4bfa-bd38-66e2b3239111_0.png", "image_2": "Perception/paired/c49e1aba-a776-4bfa-bd38-66e2b3239111_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "e9562e6b-faed-43f1-b53e-6f8b339894d8", "image_1": "Perception/paired/e9562e6b-faed-43f1-b53e-6f8b339894d8_0.png", "image_2": "Perception/paired/e9562e6b-faed-43f1-b53e-6f8b339894d8_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "6aba7196-21fa-4c29-8620-bdfe91db82a6", "image_1": "Perception/paired/6aba7196-21fa-4c29-8620-bdfe91db82a6_0.png", "image_2": "Perception/paired/6aba7196-21fa-4c29-8620-bdfe91db82a6_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "6cfaf9b0-bbd1-4858-a958-553827f98ee4", "image_1": "Perception/paired/6cfaf9b0-bbd1-4858-a958-553827f98ee4_0.png", "image_2": "Perception/paired/6cfaf9b0-bbd1-4858-a958-553827f98ee4_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable missing tiles artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "e63e4cb0-69e7-4c9e-a7d0-93cb2f01bdad", "image_1": "Perception/paired/e63e4cb0-69e7-4c9e-a7d0-93cb2f01bdad_0.png", "image_2": "Perception/paired/e63e4cb0-69e7-4c9e-a7d0-93cb2f01bdad_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "4ff95053-927e-4e6e-bcc0-bc872660a060", "image_1": "Perception/paired/4ff95053-927e-4e6e-bcc0-bc872660a060_0.png", "image_2": "Perception/paired/4ff95053-927e-4e6e-bcc0-bc872660a060_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "3e4581eb-06fe-49b5-8a7a-ba06c1973ac0", "image_1": "Perception/paired/3e4581eb-06fe-49b5-8a7a-ba06c1973ac0_0.png", "image_2": "Perception/paired/3e4581eb-06fe-49b5-8a7a-ba06c1973ac0_1.png", "question": "Does missing tiles result in missing information in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "64e6e8c4-0e36-45c9-b00d-5054e2d2ccda", "image_1": "Perception/paired/64e6e8c4-0e36-45c9-b00d-5054e2d2ccda_0.png", "image_2": "Perception/paired/64e6e8c4-0e36-45c9-b00d-5054e2d2ccda_1.png", "question": "Comparing to Image 1, does Image 2 contain missing tiles?\nA.Yes\nB.No", "answer": "A"}
{"id": "56e5d86a-699f-4b53-9d62-670607d9ab7d", "image_1": "Perception/paired/56e5d86a-699f-4b53-9d62-670607d9ab7d_0.png", "image_2": "Perception/paired/56e5d86a-699f-4b53-9d62-670607d9ab7d_1.png", "question": "Is missing tiles visible in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "13d539a3-9290-4926-8dc5-34ed9b0bef93", "image_1": "Perception/paired/13d539a3-9290-4926-8dc5-34ed9b0bef93_0.png", "image_2": "Perception/paired/13d539a3-9290-4926-8dc5-34ed9b0bef93_1.png", "question": "Does missing tiles reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "7b972be1-2d2d-42b8-a2b2-54d7ea8703d1", "image_1": "Perception/paired/7b972be1-2d2d-42b8-a2b2-54d7ea8703d1_0.png", "image_2": "Perception/paired/7b972be1-2d2d-42b8-a2b2-54d7ea8703d1_1.png", "question": "Is there missing tiles present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "8f58183e-5dce-48a6-8ddd-9005e65f1bbc", "image_1": "Perception/paired/8f58183e-5dce-48a6-8ddd-9005e65f1bbc_0.png", "image_2": "Perception/paired/8f58183e-5dce-48a6-8ddd-9005e65f1bbc_1.png", "question": "Does missing tiles affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "d942b1a9-4b6b-4094-a431-ddfe8018de6b", "image_1": "Perception/paired/d942b1a9-4b6b-4094-a431-ddfe8018de6b_0.png", "image_2": "Perception/paired/d942b1a9-4b6b-4094-a431-ddfe8018de6b_1.png", "question": "Is missing tiles the primary source of degradation in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "db2b3cc6-60ba-41e0-b505-732d5bdf7ad0", "image_1": "Perception/paired/db2b3cc6-60ba-41e0-b505-732d5bdf7ad0_0.png", "image_2": "Perception/paired/db2b3cc6-60ba-41e0-b505-732d5bdf7ad0_1.png", "question": "Is missing tiles apparent in this remote sensing scene (Image 2)?\nA.Yes\nB.No", "answer": "A"}
{"id": "f9cd4d81-c48b-42ac-ba4d-4948ab02eff6", "image_1": "Perception/paired/f9cd4d81-c48b-42ac-ba4d-4948ab02eff6_0.png", "image_2": "Perception/paired/f9cd4d81-c48b-42ac-ba4d-4948ab02eff6_1.png", "question": "Is missing tiles a critical issue in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "239bb7a3-c3a9-4cfd-945e-42a1d38eeb36", "image_1": "Perception/paired/239bb7a3-c3a9-4cfd-945e-42a1d38eeb36_0.png", "image_2": "Perception/paired/239bb7a3-c3a9-4cfd-945e-42a1d38eeb36_1.png", "question": "Is missing tiles the primary source of degradation in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "cde77a0b-a5af-48ec-bc45-44528e53f0b1", "image_1": "Perception/paired/cde77a0b-a5af-48ec-bc45-44528e53f0b1_0.png", "image_2": "Perception/paired/cde77a0b-a5af-48ec-bc45-44528e53f0b1_1.png", "question": "Can missing tiles be observed in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "9b47be92-26b5-4283-9ac2-ae1f684afd2f", "image_1": "Perception/paired/9b47be92-26b5-4283-9ac2-ae1f684afd2f_0.png", "image_2": "Perception/paired/9b47be92-26b5-4283-9ac2-ae1f684afd2f_1.png", "question": "Is missing tiles present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "cb56a354-889a-45dd-abd7-10560ba764f3", "image_1": "Perception/paired/cb56a354-889a-45dd-abd7-10560ba764f3_0.png", "image_2": "Perception/paired/cb56a354-889a-45dd-abd7-10560ba764f3_1.png", "question": "Does missing tiles interfere with interpretation of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "b731cef7-5c7d-4e17-9283-1721c2a7a469", "image_1": "Perception/paired/b731cef7-5c7d-4e17-9283-1721c2a7a469_0.png", "image_2": "Perception/paired/b731cef7-5c7d-4e17-9283-1721c2a7a469_1.png", "question": "Is missing tiles present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "02883381-2360-4db6-b0b8-28492cdece4a", "image_1": "Perception/paired/02883381-2360-4db6-b0b8-28492cdece4a_0.png", "image_2": "Perception/paired/02883381-2360-4db6-b0b8-28492cdece4a_1.png", "question": "Does Image 2 show signs of missing tiles relative to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "64bdfb68-df2e-486c-afbb-d097d52a183d", "image_1": "Perception/paired/64bdfb68-df2e-486c-afbb-d097d52a183d_0.png", "image_2": "Perception/paired/64bdfb68-df2e-486c-afbb-d097d52a183d_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "cebccd09-999a-4fe8-af7c-9e84abd9bebd", "image_1": "Perception/paired/cebccd09-999a-4fe8-af7c-9e84abd9bebd_0.png", "image_2": "Perception/paired/cebccd09-999a-4fe8-af7c-9e84abd9bebd_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable deadline noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "5cd9a63d-d4cd-4fdd-89bc-a01411ed0a89", "image_1": "Perception/paired/5cd9a63d-d4cd-4fdd-89bc-a01411ed0a89_0.png", "image_2": "Perception/paired/5cd9a63d-d4cd-4fdd-89bc-a01411ed0a89_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable deadline noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "4f5e0c54-acec-4a3f-bad0-b1fb150b7c28", "image_1": "Perception/paired/4f5e0c54-acec-4a3f-bad0-b1fb150b7c28_0.png", "image_2": "Perception/paired/4f5e0c54-acec-4a3f-bad0-b1fb150b7c28_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "6401baf8-0655-4a06-9a41-475463077f15", "image_1": "Perception/paired/6401baf8-0655-4a06-9a41-475463077f15_0.png", "image_2": "Perception/paired/6401baf8-0655-4a06-9a41-475463077f15_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "0fd9cc08-c74a-4e3d-9963-4b245cc1c5c7", "image_1": "Perception/paired/0fd9cc08-c74a-4e3d-9963-4b245cc1c5c7_0.png", "image_2": "Perception/paired/0fd9cc08-c74a-4e3d-9963-4b245cc1c5c7_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "56e5491d-4cd3-4129-8de7-36ed6ad3103b", "image_1": "Perception/paired/56e5491d-4cd3-4129-8de7-36ed6ad3103b_0.png", "image_2": "Perception/paired/56e5491d-4cd3-4129-8de7-36ed6ad3103b_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "14d76ac9-3e96-4e86-8cd5-31c3d39446fa", "image_1": "Perception/paired/14d76ac9-3e96-4e86-8cd5-31c3d39446fa_0.png", "image_2": "Perception/paired/14d76ac9-3e96-4e86-8cd5-31c3d39446fa_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "96e7b4da-52e1-4c2c-b7f8-627dd8aed2fc", "image_1": "Perception/paired/96e7b4da-52e1-4c2c-b7f8-627dd8aed2fc_0.png", "image_2": "Perception/paired/96e7b4da-52e1-4c2c-b7f8-627dd8aed2fc_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "1779d37d-17ce-4653-8a1c-ba7b9873604c", "image_1": "Perception/paired/1779d37d-17ce-4653-8a1c-ba7b9873604c_0.png", "image_2": "Perception/paired/1779d37d-17ce-4653-8a1c-ba7b9873604c_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable deadline noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "a78966e5-8b29-4e4d-8ab2-b074e29bfb2c", "image_1": "Perception/paired/a78966e5-8b29-4e4d-8ab2-b074e29bfb2c_0.png", "image_2": "Perception/paired/a78966e5-8b29-4e4d-8ab2-b074e29bfb2c_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "94e1fae8-9c28-40e7-888d-60cb163a453a", "image_1": "Perception/paired/94e1fae8-9c28-40e7-888d-60cb163a453a_0.png", "image_2": "Perception/paired/94e1fae8-9c28-40e7-888d-60cb163a453a_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "a533d378-eff1-4f24-9c10-90108ebfa143", "image_1": "Perception/paired/a533d378-eff1-4f24-9c10-90108ebfa143_0.png", "image_2": "Perception/paired/a533d378-eff1-4f24-9c10-90108ebfa143_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of deadline noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "9489bc39-064f-4f18-a8c6-d162e6d665c8", "image_1": "Perception/paired/9489bc39-064f-4f18-a8c6-d162e6d665c8_0.png", "image_2": "Perception/paired/9489bc39-064f-4f18-a8c6-d162e6d665c8_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable deadline noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "a00e3446-a5b1-43b7-93c5-88e64b8bed50", "image_1": "Perception/paired/a00e3446-a5b1-43b7-93c5-88e64b8bed50_0.png", "image_2": "Perception/paired/a00e3446-a5b1-43b7-93c5-88e64b8bed50_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of deadline noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "da339727-2b8f-4153-b1cd-ecba06c2974a", "image_1": "Perception/paired/da339727-2b8f-4153-b1cd-ecba06c2974a_0.png", "image_2": "Perception/paired/da339727-2b8f-4153-b1cd-ecba06c2974a_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "3be6e0e2-3463-4b48-96e9-3584fa7ec19a", "image_1": "Perception/paired/3be6e0e2-3463-4b48-96e9-3584fa7ec19a_0.png", "image_2": "Perception/paired/3be6e0e2-3463-4b48-96e9-3584fa7ec19a_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable deadline noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "a854f788-ffe3-4e27-a010-aa40d26c609b", "image_1": "Perception/paired/a854f788-ffe3-4e27-a010-aa40d26c609b_0.png", "image_2": "Perception/paired/a854f788-ffe3-4e27-a010-aa40d26c609b_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable deadline noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "954200c7-d6fb-4b1e-adec-94c2b1798c32", "image_1": "Perception/paired/954200c7-d6fb-4b1e-adec-94c2b1798c32_0.png", "image_2": "Perception/paired/954200c7-d6fb-4b1e-adec-94c2b1798c32_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable deadline noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "ac97b3b5-4b3d-4591-8c4a-8a85a2d0fb04", "image_1": "Perception/paired/ac97b3b5-4b3d-4591-8c4a-8a85a2d0fb04_0.png", "image_2": "Perception/paired/ac97b3b5-4b3d-4591-8c4a-8a85a2d0fb04_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "8ddc34c0-8ef5-4f06-baaf-7eaf0d07c71d", "image_1": "Perception/paired/8ddc34c0-8ef5-4f06-baaf-7eaf0d07c71d_0.png", "image_2": "Perception/paired/8ddc34c0-8ef5-4f06-baaf-7eaf0d07c71d_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "daec58a5-4f37-4657-97f4-9d6870714605", "image_1": "Perception/paired/daec58a5-4f37-4657-97f4-9d6870714605_0.png", "image_2": "Perception/paired/daec58a5-4f37-4657-97f4-9d6870714605_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of deadline noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "2327221b-dba1-4a52-8515-b955ce91f81e", "image_1": "Perception/paired/2327221b-dba1-4a52-8515-b955ce91f81e_0.png", "image_2": "Perception/paired/2327221b-dba1-4a52-8515-b955ce91f81e_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of deadline noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "a99152df-4088-4fee-9c6a-3245d981f138", "image_1": "Perception/paired/a99152df-4088-4fee-9c6a-3245d981f138_0.png", "image_2": "Perception/paired/a99152df-4088-4fee-9c6a-3245d981f138_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable deadline noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "902d5ced-0219-44cc-96b7-d0d03fb06d5e", "image_1": "Perception/paired/902d5ced-0219-44cc-96b7-d0d03fb06d5e_0.png", "image_2": "Perception/paired/902d5ced-0219-44cc-96b7-d0d03fb06d5e_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of deadline noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "2ffbfb4f-fa55-4c2c-b0bd-9677e9d02ef9", "image_1": "Perception/paired/2ffbfb4f-fa55-4c2c-b0bd-9677e9d02ef9_0.png", "image_2": "Perception/paired/2ffbfb4f-fa55-4c2c-b0bd-9677e9d02ef9_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "d5c10086-2b18-4a92-af15-d7ddc1ad8c0b", "image_1": "Perception/paired/d5c10086-2b18-4a92-af15-d7ddc1ad8c0b_0.png", "image_2": "Perception/paired/d5c10086-2b18-4a92-af15-d7ddc1ad8c0b_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "e0f2a095-398a-4a4e-be11-1eb40bbc8731", "image_1": "Perception/paired/e0f2a095-398a-4a4e-be11-1eb40bbc8731_0.png", "image_2": "Perception/paired/e0f2a095-398a-4a4e-be11-1eb40bbc8731_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "2aac4b57-a375-4fbf-806b-b3266b5e5f43", "image_1": "Perception/paired/2aac4b57-a375-4fbf-806b-b3266b5e5f43_0.png", "image_2": "Perception/paired/2aac4b57-a375-4fbf-806b-b3266b5e5f43_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "15094cce-6ca4-476b-a929-d97840eb4f69", "image_1": "Perception/paired/15094cce-6ca4-476b-a929-d97840eb4f69_0.png", "image_2": "Perception/paired/15094cce-6ca4-476b-a929-d97840eb4f69_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of deadline noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "f83061ba-3597-4d26-b7a6-0db6cd96f519", "image_1": "Perception/paired/f83061ba-3597-4d26-b7a6-0db6cd96f519_0.png", "image_2": "Perception/paired/f83061ba-3597-4d26-b7a6-0db6cd96f519_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "2cd7d0e8-1c31-4513-adc2-4cbf09e430f2", "image_1": "Perception/paired/2cd7d0e8-1c31-4513-adc2-4cbf09e430f2_0.png", "image_2": "Perception/paired/2cd7d0e8-1c31-4513-adc2-4cbf09e430f2_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "cb3ca5b8-32c4-4be2-aea3-0364219eb2f5", "image_1": "Perception/paired/cb3ca5b8-32c4-4be2-aea3-0364219eb2f5_0.png", "image_2": "Perception/paired/cb3ca5b8-32c4-4be2-aea3-0364219eb2f5_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "be3fc9be-e30e-4539-a101-03b49c4fb5a8", "image_1": "Perception/paired/be3fc9be-e30e-4539-a101-03b49c4fb5a8_0.png", "image_2": "Perception/paired/be3fc9be-e30e-4539-a101-03b49c4fb5a8_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of deadline noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "d47cdafe-8142-4f8e-9ce4-8e6ecb6411e8", "image_1": "Perception/paired/d47cdafe-8142-4f8e-9ce4-8e6ecb6411e8_0.png", "image_2": "Perception/paired/d47cdafe-8142-4f8e-9ce4-8e6ecb6411e8_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "3bbe0774-9ed0-42c1-8690-36cb0f1c903e", "image_1": "Perception/paired/3bbe0774-9ed0-42c1-8690-36cb0f1c903e_0.png", "image_2": "Perception/paired/3bbe0774-9ed0-42c1-8690-36cb0f1c903e_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "c5867f7b-e488-4401-b1bc-79d962c41dc1", "image_1": "Perception/paired/c5867f7b-e488-4401-b1bc-79d962c41dc1_0.png", "image_2": "Perception/paired/c5867f7b-e488-4401-b1bc-79d962c41dc1_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "582fdfed-0031-400a-806f-c18d570bf0c8", "image_1": "Perception/paired/582fdfed-0031-400a-806f-c18d570bf0c8_0.png", "image_2": "Perception/paired/582fdfed-0031-400a-806f-c18d570bf0c8_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable deadline noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "02e7de8e-7113-47a6-961f-bc1bbc08022e", "image_1": "Perception/paired/02e7de8e-7113-47a6-961f-bc1bbc08022e_0.png", "image_2": "Perception/paired/02e7de8e-7113-47a6-961f-bc1bbc08022e_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "72d11088-e04a-44bf-8e8b-39be28d8613d", "image_1": "Perception/paired/72d11088-e04a-44bf-8e8b-39be28d8613d_0.png", "image_2": "Perception/paired/72d11088-e04a-44bf-8e8b-39be28d8613d_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "36cc50c6-5086-4839-bd03-f83746b9ddc0", "image_1": "Perception/paired/36cc50c6-5086-4839-bd03-f83746b9ddc0_0.png", "image_2": "Perception/paired/36cc50c6-5086-4839-bd03-f83746b9ddc0_1.png", "question": "Does Image 2 contain deadline noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "04a8f869-4cd6-4134-bd67-c8cf313f38e0", "image_1": "Perception/paired/04a8f869-4cd6-4134-bd67-c8cf313f38e0_0.png", "image_2": "Perception/paired/04a8f869-4cd6-4134-bd67-c8cf313f38e0_1.png", "question": "Is Image 2 impacted by deadline noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "329691ff-1d16-43ac-aa42-aa5c16df699b", "image_1": "Perception/paired/329691ff-1d16-43ac-aa42-aa5c16df699b_0.png", "image_2": "Perception/paired/329691ff-1d16-43ac-aa42-aa5c16df699b_1.png", "question": "Is deadline noise a dominant distortion in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "5ea74a08-b9b9-405a-a468-ada5c130fd58", "image_1": "Perception/paired/5ea74a08-b9b9-405a-a468-ada5c130fd58_0.png", "image_2": "Perception/paired/5ea74a08-b9b9-405a-a468-ada5c130fd58_1.png", "question": "Is deadline noise responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "84f9e681-a850-4801-a87b-9506526def0d", "image_1": "Perception/paired/84f9e681-a850-4801-a87b-9506526def0d_0.png", "image_2": "Perception/paired/84f9e681-a850-4801-a87b-9506526def0d_1.png", "question": "Is deadline noise visible in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "e9bba9e0-337c-4f6b-b72a-c3f707c042c1", "image_1": "Perception/paired/e9bba9e0-337c-4f6b-b72a-c3f707c042c1_0.png", "image_2": "Perception/paired/e9bba9e0-337c-4f6b-b72a-c3f707c042c1_1.png", "question": "Does deadline noise lead to information loss in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "5e796ffc-0f66-4fc5-b254-b53e57416e6f", "image_1": "Perception/paired/5e796ffc-0f66-4fc5-b254-b53e57416e6f_0.png", "image_2": "Perception/paired/5e796ffc-0f66-4fc5-b254-b53e57416e6f_1.png", "question": "Does deadline noise obscure details in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "e75e839c-7da7-4018-9efa-8da6ced59679", "image_1": "Perception/paired/e75e839c-7da7-4018-9efa-8da6ced59679_0.png", "image_2": "Perception/paired/e75e839c-7da7-4018-9efa-8da6ced59679_1.png", "question": "Does deadline noise affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "06457b5f-f294-46de-9ca3-f9f71bc827ab", "image_1": "Perception/paired/06457b5f-f294-46de-9ca3-f9f71bc827ab_0.png", "image_2": "Perception/paired/06457b5f-f294-46de-9ca3-f9f71bc827ab_1.png", "question": "Does Image 2 contain deadline noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "fc9532b7-5a04-4458-bba3-6cdb4cc6d411", "image_1": "Perception/paired/fc9532b7-5a04-4458-bba3-6cdb4cc6d411_0.png", "image_2": "Perception/paired/fc9532b7-5a04-4458-bba3-6cdb4cc6d411_1.png", "question": "Is deadline noise a critical issue in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "6f5abdc9-1bc7-4c55-89ab-9af0c7adcc8c", "image_1": "Perception/paired/6f5abdc9-1bc7-4c55-89ab-9af0c7adcc8c_0.png", "image_2": "Perception/paired/6f5abdc9-1bc7-4c55-89ab-9af0c7adcc8c_1.png", "question": "Does deadline noise affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "29ccad7d-8d6e-4b1e-8651-ec26bc1ca526", "image_1": "Perception/paired/29ccad7d-8d6e-4b1e-8651-ec26bc1ca526_0.png", "image_2": "Perception/paired/29ccad7d-8d6e-4b1e-8651-ec26bc1ca526_1.png", "question": "Is deadline noise a critical issue in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "e81fa63b-5b3c-40b8-9a0d-e9839bfbe1b7", "image_1": "Perception/paired/e81fa63b-5b3c-40b8-9a0d-e9839bfbe1b7_0.png", "image_2": "Perception/paired/e81fa63b-5b3c-40b8-9a0d-e9839bfbe1b7_1.png", "question": "Does deadline noise interfere with interpretation of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "60fbf0cb-80cd-4d15-a237-33cd5536e725", "image_1": "Perception/paired/60fbf0cb-80cd-4d15-a237-33cd5536e725_0.png", "image_2": "Perception/paired/60fbf0cb-80cd-4d15-a237-33cd5536e725_1.png", "question": "Comparing to Image 1, does Image 2 contain deadline noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "9a924b3d-1a91-4810-b0e6-2cccb6a6bff2", "image_1": "Perception/paired/9a924b3d-1a91-4810-b0e6-2cccb6a6bff2_0.png", "image_2": "Perception/paired/9a924b3d-1a91-4810-b0e6-2cccb6a6bff2_1.png", "question": "Is deadline noise a dominant distortion in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "c520f722-00c2-4562-9c9b-972d6d9e5fde", "image_1": "Perception/paired/c520f722-00c2-4562-9c9b-972d6d9e5fde_0.png", "image_2": "Perception/paired/c520f722-00c2-4562-9c9b-972d6d9e5fde_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "92cd62a1-42ee-4212-bba1-7933ba3c622e", "image_1": "Perception/paired/92cd62a1-42ee-4212-bba1-7933ba3c622e_0.png", "image_2": "Perception/paired/92cd62a1-42ee-4212-bba1-7933ba3c622e_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "e68b732d-4e0c-4047-8ca3-a634663f60aa", "image_1": "Perception/paired/e68b732d-4e0c-4047-8ca3-a634663f60aa_0.png", "image_2": "Perception/paired/e68b732d-4e0c-4047-8ca3-a634663f60aa_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "c4eee37a-3d9a-4338-8891-f5b152835cdf", "image_1": "Perception/paired/c4eee37a-3d9a-4338-8891-f5b152835cdf_0.png", "image_2": "Perception/paired/c4eee37a-3d9a-4338-8891-f5b152835cdf_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "f9f0b56d-3a79-4695-9803-397382cc45c4", "image_1": "Perception/paired/f9f0b56d-3a79-4695-9803-397382cc45c4_0.png", "image_2": "Perception/paired/f9f0b56d-3a79-4695-9803-397382cc45c4_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "4cfd9f3f-2ce2-498f-8aff-c26f7c4e5cce", "image_1": "Perception/paired/4cfd9f3f-2ce2-498f-8aff-c26f7c4e5cce_0.png", "image_2": "Perception/paired/4cfd9f3f-2ce2-498f-8aff-c26f7c4e5cce_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "a698229c-8f4f-4549-bff2-6f3d98c36bac", "image_1": "Perception/paired/a698229c-8f4f-4549-bff2-6f3d98c36bac_0.png", "image_2": "Perception/paired/a698229c-8f4f-4549-bff2-6f3d98c36bac_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "d3552b0e-5d82-4bd6-896e-b3fb4b193b80", "image_1": "Perception/paired/d3552b0e-5d82-4bd6-896e-b3fb4b193b80_0.png", "image_2": "Perception/paired/d3552b0e-5d82-4bd6-896e-b3fb4b193b80_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "69448755-49bc-4014-b6b4-51bb6844e525", "image_1": "Perception/paired/69448755-49bc-4014-b6b4-51bb6844e525_0.png", "image_2": "Perception/paired/69448755-49bc-4014-b6b4-51bb6844e525_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "59df769f-817c-4a0e-b319-6ffb3c2bf921", "image_1": "Perception/paired/59df769f-817c-4a0e-b319-6ffb3c2bf921_0.png", "image_2": "Perception/paired/59df769f-817c-4a0e-b319-6ffb3c2bf921_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "39b30d14-b58c-41d5-b0c7-33c7e065590d", "image_1": "Perception/paired/39b30d14-b58c-41d5-b0c7-33c7e065590d_0.png", "image_2": "Perception/paired/39b30d14-b58c-41d5-b0c7-33c7e065590d_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "ba34e070-114e-4a63-a299-e87fec71aa24", "image_1": "Perception/paired/ba34e070-114e-4a63-a299-e87fec71aa24_0.png", "image_2": "Perception/paired/ba34e070-114e-4a63-a299-e87fec71aa24_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "ff2ffebd-a497-4adc-9a12-a491529f0067", "image_1": "Perception/paired/ff2ffebd-a497-4adc-9a12-a491529f0067_0.png", "image_2": "Perception/paired/ff2ffebd-a497-4adc-9a12-a491529f0067_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "9c148e59-43f4-4ce4-907d-9e6f233af3f0", "image_1": "Perception/paired/9c148e59-43f4-4ce4-907d-9e6f233af3f0_0.png", "image_2": "Perception/paired/9c148e59-43f4-4ce4-907d-9e6f233af3f0_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "9dbaafdd-f00a-4db9-bba8-5715dac86270", "image_1": "Perception/paired/9dbaafdd-f00a-4db9-bba8-5715dac86270_0.png", "image_2": "Perception/paired/9dbaafdd-f00a-4db9-bba8-5715dac86270_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "575a2819-d512-41d9-9dab-017a172ef61d", "image_1": "Perception/paired/575a2819-d512-41d9-9dab-017a172ef61d_0.png", "image_2": "Perception/paired/575a2819-d512-41d9-9dab-017a172ef61d_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "ff28e613-3a03-47e5-a1a6-0124eb724b47", "image_1": "Perception/paired/ff28e613-3a03-47e5-a1a6-0124eb724b47_0.png", "image_2": "Perception/paired/ff28e613-3a03-47e5-a1a6-0124eb724b47_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "73a685b1-ac4e-4238-b573-c6a73c4dca44", "image_1": "Perception/paired/73a685b1-ac4e-4238-b573-c6a73c4dca44_0.png", "image_2": "Perception/paired/73a685b1-ac4e-4238-b573-c6a73c4dca44_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "9f1cc659-87e8-4938-aa78-c632ba6e9400", "image_1": "Perception/paired/9f1cc659-87e8-4938-aa78-c632ba6e9400_0.png", "image_2": "Perception/paired/9f1cc659-87e8-4938-aa78-c632ba6e9400_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "50c7f605-cf95-4886-8bff-d28f58ee77ab", "image_1": "Perception/paired/50c7f605-cf95-4886-8bff-d28f58ee77ab_0.png", "image_2": "Perception/paired/50c7f605-cf95-4886-8bff-d28f58ee77ab_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "d67efe71-8cfb-456e-aa40-df641079d56a", "image_1": "Perception/paired/d67efe71-8cfb-456e-aa40-df641079d56a_0.png", "image_2": "Perception/paired/d67efe71-8cfb-456e-aa40-df641079d56a_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "aea4b04f-0014-427e-a1f3-224a11da9058", "image_1": "Perception/paired/aea4b04f-0014-427e-a1f3-224a11da9058_0.png", "image_2": "Perception/paired/aea4b04f-0014-427e-a1f3-224a11da9058_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "baf1228d-0884-4456-a802-0f3a714391b8", "image_1": "Perception/paired/baf1228d-0884-4456-a802-0f3a714391b8_0.png", "image_2": "Perception/paired/baf1228d-0884-4456-a802-0f3a714391b8_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "ecc85120-e259-4713-a36b-4f05d74f95a5", "image_1": "Perception/paired/ecc85120-e259-4713-a36b-4f05d74f95a5_0.png", "image_2": "Perception/paired/ecc85120-e259-4713-a36b-4f05d74f95a5_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "7f91f742-4d22-451b-973f-312954a679a5", "image_1": "Perception/paired/7f91f742-4d22-451b-973f-312954a679a5_0.png", "image_2": "Perception/paired/7f91f742-4d22-451b-973f-312954a679a5_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "4c36aa27-b00b-463c-add8-934d5ed8617c", "image_1": "Perception/paired/4c36aa27-b00b-463c-add8-934d5ed8617c_0.png", "image_2": "Perception/paired/4c36aa27-b00b-463c-add8-934d5ed8617c_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "5d7bd29d-8a20-42d8-86cc-f49fb7149a16", "image_1": "Perception/paired/5d7bd29d-8a20-42d8-86cc-f49fb7149a16_0.png", "image_2": "Perception/paired/5d7bd29d-8a20-42d8-86cc-f49fb7149a16_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "9917c9e6-c64d-4703-9dce-a80f385e4b13", "image_1": "Perception/paired/9917c9e6-c64d-4703-9dce-a80f385e4b13_0.png", "image_2": "Perception/paired/9917c9e6-c64d-4703-9dce-a80f385e4b13_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "d6462ffd-a1e4-4b42-8d04-c6b3aac1a0c3", "image_1": "Perception/paired/d6462ffd-a1e4-4b42-8d04-c6b3aac1a0c3_0.png", "image_2": "Perception/paired/d6462ffd-a1e4-4b42-8d04-c6b3aac1a0c3_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "0d38a0f6-ebfe-4b5d-ab0d-67ea041bdc65", "image_1": "Perception/paired/0d38a0f6-ebfe-4b5d-ab0d-67ea041bdc65_0.png", "image_2": "Perception/paired/0d38a0f6-ebfe-4b5d-ab0d-67ea041bdc65_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "fde96868-3023-4ff8-a897-eb568d4d3436", "image_1": "Perception/paired/fde96868-3023-4ff8-a897-eb568d4d3436_0.png", "image_2": "Perception/paired/fde96868-3023-4ff8-a897-eb568d4d3436_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "162680a3-dfb7-4983-a881-24f1558517c1", "image_1": "Perception/paired/162680a3-dfb7-4983-a881-24f1558517c1_0.png", "image_2": "Perception/paired/162680a3-dfb7-4983-a881-24f1558517c1_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "ef2df9aa-bc42-4bc5-b179-6f93bac493d6", "image_1": "Perception/paired/ef2df9aa-bc42-4bc5-b179-6f93bac493d6_0.png", "image_2": "Perception/paired/ef2df9aa-bc42-4bc5-b179-6f93bac493d6_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "11e9ebcb-8c5d-4921-a633-4d0aa8e2b545", "image_1": "Perception/paired/11e9ebcb-8c5d-4921-a633-4d0aa8e2b545_0.png", "image_2": "Perception/paired/11e9ebcb-8c5d-4921-a633-4d0aa8e2b545_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "dec68025-61bc-42ba-af96-5588bc32753f", "image_1": "Perception/paired/dec68025-61bc-42ba-af96-5588bc32753f_0.png", "image_2": "Perception/paired/dec68025-61bc-42ba-af96-5588bc32753f_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "bb0afc02-fd2c-457c-96c2-83eaeea7d616", "image_1": "Perception/paired/bb0afc02-fd2c-457c-96c2-83eaeea7d616_0.png", "image_2": "Perception/paired/bb0afc02-fd2c-457c-96c2-83eaeea7d616_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "2c31ee19-024e-44e1-be61-ddefe5f852e9", "image_1": "Perception/paired/2c31ee19-024e-44e1-be61-ddefe5f852e9_0.png", "image_2": "Perception/paired/2c31ee19-024e-44e1-be61-ddefe5f852e9_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "7e4e1ab6-aee6-4ef5-b380-f6b07156bbf1", "image_1": "Perception/paired/7e4e1ab6-aee6-4ef5-b380-f6b07156bbf1_0.png", "image_2": "Perception/paired/7e4e1ab6-aee6-4ef5-b380-f6b07156bbf1_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "73bdaf8d-0a3b-492e-be2d-1f3dfbbf98ed", "image_1": "Perception/paired/73bdaf8d-0a3b-492e-be2d-1f3dfbbf98ed_0.png", "image_2": "Perception/paired/73bdaf8d-0a3b-492e-be2d-1f3dfbbf98ed_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "4714c84f-c682-48cb-9d90-067283951808", "image_1": "Perception/paired/4714c84f-c682-48cb-9d90-067283951808_0.png", "image_2": "Perception/paired/4714c84f-c682-48cb-9d90-067283951808_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "8607743e-079d-4a06-96a5-49ff3d688d04", "image_1": "Perception/paired/8607743e-079d-4a06-96a5-49ff3d688d04_0.png", "image_2": "Perception/paired/8607743e-079d-4a06-96a5-49ff3d688d04_1.png", "question": "Can gaussian noise be observed in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "33eeef64-51ce-4d7d-9bc7-f33d0e3c5f42", "image_1": "Perception/paired/33eeef64-51ce-4d7d-9bc7-f33d0e3c5f42_0.png", "image_2": "Perception/paired/33eeef64-51ce-4d7d-9bc7-f33d0e3c5f42_1.png", "question": "Is gaussian noise responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "7f60b4af-7ef7-4b87-8128-3e90c45d5ec5", "image_1": "Perception/paired/7f60b4af-7ef7-4b87-8128-3e90c45d5ec5_0.png", "image_2": "Perception/paired/7f60b4af-7ef7-4b87-8128-3e90c45d5ec5_1.png", "question": "Does gaussian noise reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "a7b97516-276c-4c43-82bc-82ed369193c1", "image_1": "Perception/paired/a7b97516-276c-4c43-82bc-82ed369193c1_0.png", "image_2": "Perception/paired/a7b97516-276c-4c43-82bc-82ed369193c1_1.png", "question": "Is gaussian noise responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "6b1f651c-0edc-455b-b55f-8b4a0a781edd", "image_1": "Perception/paired/6b1f651c-0edc-455b-b55f-8b4a0a781edd_0.png", "image_2": "Perception/paired/6b1f651c-0edc-455b-b55f-8b4a0a781edd_1.png", "question": "Does gaussian noise reduce the usability of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "844f1d4a-45fa-4d2d-8b44-0f7695bf4564", "image_1": "Perception/paired/844f1d4a-45fa-4d2d-8b44-0f7695bf4564_0.png", "image_2": "Perception/paired/844f1d4a-45fa-4d2d-8b44-0f7695bf4564_1.png", "question": "Is gaussian noise a dominant distortion in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "a754329e-aaef-4f2d-b686-7347a9b6aa4e", "image_1": "Perception/paired/a754329e-aaef-4f2d-b686-7347a9b6aa4e_0.png", "image_2": "Perception/paired/a754329e-aaef-4f2d-b686-7347a9b6aa4e_1.png", "question": "Does gaussian noise compromise the data integrity of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "f572e5e6-6f1a-4a05-9f6f-0cf754da1a73", "image_1": "Perception/paired/f572e5e6-6f1a-4a05-9f6f-0cf754da1a73_0.png", "image_2": "Perception/paired/f572e5e6-6f1a-4a05-9f6f-0cf754da1a73_1.png", "question": "Can gaussian noise be observed in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "389300ad-9716-44ec-bd53-2f80e74f48f8", "image_1": "Perception/paired/389300ad-9716-44ec-bd53-2f80e74f48f8_0.png", "image_2": "Perception/paired/389300ad-9716-44ec-bd53-2f80e74f48f8_1.png", "question": "Does gaussian noise obscure details in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "1d6cdead-8e3f-441c-be8a-34d9dea47711", "image_1": "Perception/paired/1d6cdead-8e3f-441c-be8a-34d9dea47711_0.png", "image_2": "Perception/paired/1d6cdead-8e3f-441c-be8a-34d9dea47711_1.png", "question": "Does gaussian noise lead to information loss in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "f02c64e3-510c-4090-9b3a-8a53b26fc887", "image_1": "Perception/paired/f02c64e3-510c-4090-9b3a-8a53b26fc887_0.png", "image_2": "Perception/paired/f02c64e3-510c-4090-9b3a-8a53b26fc887_1.png", "question": "Does gaussian noise result in missing information in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "a27be9fb-128b-4721-a2cc-e9e4fe03df0c", "image_1": "Perception/paired/a27be9fb-128b-4721-a2cc-e9e4fe03df0c_0.png", "image_2": "Perception/paired/a27be9fb-128b-4721-a2cc-e9e4fe03df0c_1.png", "question": "Is gaussian noise the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "5152a516-6944-491d-a147-e6eb60ce8f79", "image_1": "Perception/paired/5152a516-6944-491d-a147-e6eb60ce8f79_0.png", "image_2": "Perception/paired/5152a516-6944-491d-a147-e6eb60ce8f79_1.png", "question": "Is there gaussian noise present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "b624b8d1-bb8a-4a42-827d-f97b095c3f53", "image_1": "Perception/paired/b624b8d1-bb8a-4a42-827d-f97b095c3f53_0.png", "image_2": "Perception/paired/b624b8d1-bb8a-4a42-827d-f97b095c3f53_1.png", "question": "Does gaussian noise obscure details in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "661c524f-c8c5-44bb-9181-ea0a662de965", "image_1": "Perception/paired/661c524f-c8c5-44bb-9181-ea0a662de965_0.png", "image_2": "Perception/paired/661c524f-c8c5-44bb-9181-ea0a662de965_1.png", "question": "Does gaussian noise result in missing information in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "23d52f41-1db7-42e8-b4c3-2e4c9a18b0a7", "image_1": "Perception/paired/23d52f41-1db7-42e8-b4c3-2e4c9a18b0a7_0.png", "image_2": "Perception/paired/23d52f41-1db7-42e8-b4c3-2e4c9a18b0a7_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "9a31b59a-d412-4ce7-bd2c-de6b7d8f0d62", "image_1": "Perception/paired/9a31b59a-d412-4ce7-bd2c-de6b7d8f0d62_0.png", "image_2": "Perception/paired/9a31b59a-d412-4ce7-bd2c-de6b7d8f0d62_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable impulse noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "058b60d3-8b5a-4d5e-a5f4-01a9db090399", "image_1": "Perception/paired/058b60d3-8b5a-4d5e-a5f4-01a9db090399_0.png", "image_2": "Perception/paired/058b60d3-8b5a-4d5e-a5f4-01a9db090399_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable impulse noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "4b83b673-838b-4afa-929e-de9e97dec39c", "image_1": "Perception/paired/4b83b673-838b-4afa-929e-de9e97dec39c_0.png", "image_2": "Perception/paired/4b83b673-838b-4afa-929e-de9e97dec39c_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "4cff03be-f9d7-4a5d-888b-cb49eda703d8", "image_1": "Perception/paired/4cff03be-f9d7-4a5d-888b-cb49eda703d8_0.png", "image_2": "Perception/paired/4cff03be-f9d7-4a5d-888b-cb49eda703d8_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "6c6813fd-40b6-4254-998b-0edf57eb64c7", "image_1": "Perception/paired/6c6813fd-40b6-4254-998b-0edf57eb64c7_0.png", "image_2": "Perception/paired/6c6813fd-40b6-4254-998b-0edf57eb64c7_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "e74454ba-b40f-488c-9ca2-8d447a0e7292", "image_1": "Perception/paired/e74454ba-b40f-488c-9ca2-8d447a0e7292_0.png", "image_2": "Perception/paired/e74454ba-b40f-488c-9ca2-8d447a0e7292_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "e61cf078-a2ff-4eed-8188-40ba83fa094f", "image_1": "Perception/paired/e61cf078-a2ff-4eed-8188-40ba83fa094f_0.png", "image_2": "Perception/paired/e61cf078-a2ff-4eed-8188-40ba83fa094f_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "196784f8-686b-4c72-bb28-0f75da2d4f27", "image_1": "Perception/paired/196784f8-686b-4c72-bb28-0f75da2d4f27_0.png", "image_2": "Perception/paired/196784f8-686b-4c72-bb28-0f75da2d4f27_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "71957abc-dea4-45db-9eda-64b8d6bf8f3c", "image_1": "Perception/paired/71957abc-dea4-45db-9eda-64b8d6bf8f3c_0.png", "image_2": "Perception/paired/71957abc-dea4-45db-9eda-64b8d6bf8f3c_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable impulse noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "f5c3be3e-5204-4aa3-9a44-cb1722d644ac", "image_1": "Perception/paired/f5c3be3e-5204-4aa3-9a44-cb1722d644ac_0.png", "image_2": "Perception/paired/f5c3be3e-5204-4aa3-9a44-cb1722d644ac_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "86fb7d79-59e6-44f0-ae0c-0caad765bc57", "image_1": "Perception/paired/86fb7d79-59e6-44f0-ae0c-0caad765bc57_0.png", "image_2": "Perception/paired/86fb7d79-59e6-44f0-ae0c-0caad765bc57_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "58ff0774-1756-4ff7-9a82-fe0cbbdafe86", "image_1": "Perception/paired/58ff0774-1756-4ff7-9a82-fe0cbbdafe86_0.png", "image_2": "Perception/paired/58ff0774-1756-4ff7-9a82-fe0cbbdafe86_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "a5664a04-674d-411c-9e70-52900c1cba32", "image_1": "Perception/paired/a5664a04-674d-411c-9e70-52900c1cba32_0.png", "image_2": "Perception/paired/a5664a04-674d-411c-9e70-52900c1cba32_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable impulse noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "6b577a2c-b01e-49f1-99a4-a28337cb289b", "image_1": "Perception/paired/6b577a2c-b01e-49f1-99a4-a28337cb289b_0.png", "image_2": "Perception/paired/6b577a2c-b01e-49f1-99a4-a28337cb289b_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "e2a7179b-2362-4153-9234-fb5bb03ddf04", "image_1": "Perception/paired/e2a7179b-2362-4153-9234-fb5bb03ddf04_0.png", "image_2": "Perception/paired/e2a7179b-2362-4153-9234-fb5bb03ddf04_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "b4f7f3f5-0996-4b18-a17f-c7f0bac41342", "image_1": "Perception/paired/b4f7f3f5-0996-4b18-a17f-c7f0bac41342_0.png", "image_2": "Perception/paired/b4f7f3f5-0996-4b18-a17f-c7f0bac41342_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable impulse noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "174a12d1-fc53-4f38-aee7-8a65b8671353", "image_1": "Perception/paired/174a12d1-fc53-4f38-aee7-8a65b8671353_0.png", "image_2": "Perception/paired/174a12d1-fc53-4f38-aee7-8a65b8671353_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable impulse noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "e5ad8d45-5017-46ea-b0d4-094328e782d3", "image_1": "Perception/paired/e5ad8d45-5017-46ea-b0d4-094328e782d3_0.png", "image_2": "Perception/paired/e5ad8d45-5017-46ea-b0d4-094328e782d3_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable impulse noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "b290160e-9c6a-4bf0-8442-bb771f51a9de", "image_1": "Perception/paired/b290160e-9c6a-4bf0-8442-bb771f51a9de_0.png", "image_2": "Perception/paired/b290160e-9c6a-4bf0-8442-bb771f51a9de_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "884cdfd2-6fea-4a32-b6db-c1725e282384", "image_1": "Perception/paired/884cdfd2-6fea-4a32-b6db-c1725e282384_0.png", "image_2": "Perception/paired/884cdfd2-6fea-4a32-b6db-c1725e282384_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "7dd3a6ab-4f5f-4ba2-b352-acdf1122f876", "image_1": "Perception/paired/7dd3a6ab-4f5f-4ba2-b352-acdf1122f876_0.png", "image_2": "Perception/paired/7dd3a6ab-4f5f-4ba2-b352-acdf1122f876_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "3f6c4061-06c5-48a2-a86e-31ddee859368", "image_1": "Perception/paired/3f6c4061-06c5-48a2-a86e-31ddee859368_0.png", "image_2": "Perception/paired/3f6c4061-06c5-48a2-a86e-31ddee859368_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "ad0de7fe-ba56-47ce-beeb-309d70eaab8f", "image_1": "Perception/paired/ad0de7fe-ba56-47ce-beeb-309d70eaab8f_0.png", "image_2": "Perception/paired/ad0de7fe-ba56-47ce-beeb-309d70eaab8f_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable impulse noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "85cf6baf-c804-4080-86ea-dfed008cc423", "image_1": "Perception/paired/85cf6baf-c804-4080-86ea-dfed008cc423_0.png", "image_2": "Perception/paired/85cf6baf-c804-4080-86ea-dfed008cc423_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "858c7e04-e9cd-4be5-be8d-3d087252bc09", "image_1": "Perception/paired/858c7e04-e9cd-4be5-be8d-3d087252bc09_0.png", "image_2": "Perception/paired/858c7e04-e9cd-4be5-be8d-3d087252bc09_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "8f50edc2-6205-43d2-af6e-1e602677bd27", "image_1": "Perception/paired/8f50edc2-6205-43d2-af6e-1e602677bd27_0.png", "image_2": "Perception/paired/8f50edc2-6205-43d2-af6e-1e602677bd27_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "3202c378-0b55-4338-bf35-b34517520560", "image_1": "Perception/paired/3202c378-0b55-4338-bf35-b34517520560_0.png", "image_2": "Perception/paired/3202c378-0b55-4338-bf35-b34517520560_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "bde87599-b816-4827-8f69-3909a55154b0", "image_1": "Perception/paired/bde87599-b816-4827-8f69-3909a55154b0_0.png", "image_2": "Perception/paired/bde87599-b816-4827-8f69-3909a55154b0_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "af423ae6-cd4c-447e-b635-209e0786538e", "image_1": "Perception/paired/af423ae6-cd4c-447e-b635-209e0786538e_0.png", "image_2": "Perception/paired/af423ae6-cd4c-447e-b635-209e0786538e_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "6b3908f9-32bc-40aa-b53e-72ede43036e9", "image_1": "Perception/paired/6b3908f9-32bc-40aa-b53e-72ede43036e9_0.png", "image_2": "Perception/paired/6b3908f9-32bc-40aa-b53e-72ede43036e9_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "8928f547-2007-4da8-8759-b46113ef077b", "image_1": "Perception/paired/8928f547-2007-4da8-8759-b46113ef077b_0.png", "image_2": "Perception/paired/8928f547-2007-4da8-8759-b46113ef077b_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "8d96f982-1c8a-441d-8279-b8d3d0b91657", "image_1": "Perception/paired/8d96f982-1c8a-441d-8279-b8d3d0b91657_0.png", "image_2": "Perception/paired/8d96f982-1c8a-441d-8279-b8d3d0b91657_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "e77af0f2-cb86-4331-a828-2364fe2924e1", "image_1": "Perception/paired/e77af0f2-cb86-4331-a828-2364fe2924e1_0.png", "image_2": "Perception/paired/e77af0f2-cb86-4331-a828-2364fe2924e1_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "3fb24292-00c1-4519-a14f-0ebee568a626", "image_1": "Perception/paired/3fb24292-00c1-4519-a14f-0ebee568a626_0.png", "image_2": "Perception/paired/3fb24292-00c1-4519-a14f-0ebee568a626_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "e72099f6-1dd7-4e43-82a3-0b5b4a4d6578", "image_1": "Perception/paired/e72099f6-1dd7-4e43-82a3-0b5b4a4d6578_0.png", "image_2": "Perception/paired/e72099f6-1dd7-4e43-82a3-0b5b4a4d6578_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "520ba8b9-8bed-4dbc-9011-e07261b2d5be", "image_1": "Perception/paired/520ba8b9-8bed-4dbc-9011-e07261b2d5be_0.png", "image_2": "Perception/paired/520ba8b9-8bed-4dbc-9011-e07261b2d5be_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "5546785d-2d67-4e70-bdc2-399ff555b29c", "image_1": "Perception/paired/5546785d-2d67-4e70-bdc2-399ff555b29c_0.png", "image_2": "Perception/paired/5546785d-2d67-4e70-bdc2-399ff555b29c_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable impulse noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "296e20c3-e665-454d-9562-ead5c7b626e1", "image_1": "Perception/paired/296e20c3-e665-454d-9562-ead5c7b626e1_0.png", "image_2": "Perception/paired/296e20c3-e665-454d-9562-ead5c7b626e1_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "cc06826b-e952-4f57-a6fb-af3b1f74e537", "image_1": "Perception/paired/cc06826b-e952-4f57-a6fb-af3b1f74e537_0.png", "image_2": "Perception/paired/cc06826b-e952-4f57-a6fb-af3b1f74e537_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "96b0d506-9518-4d11-a6d5-1ae5fb6d1b40", "image_1": "Perception/paired/96b0d506-9518-4d11-a6d5-1ae5fb6d1b40_0.png", "image_2": "Perception/paired/96b0d506-9518-4d11-a6d5-1ae5fb6d1b40_1.png", "question": "Does impulse noise affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "f1a8eb81-e167-4595-b9ec-feb79e90d131", "image_1": "Perception/paired/f1a8eb81-e167-4595-b9ec-feb79e90d131_0.png", "image_2": "Perception/paired/f1a8eb81-e167-4595-b9ec-feb79e90d131_1.png", "question": "Does impulse noise result in missing information in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "7c92e6ee-f95b-4350-8b14-348f18322079", "image_1": "Perception/paired/7c92e6ee-f95b-4350-8b14-348f18322079_0.png", "image_2": "Perception/paired/7c92e6ee-f95b-4350-8b14-348f18322079_1.png", "question": "Does impulse noise affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "62710d3b-d101-4614-ba47-13aad6845492", "image_1": "Perception/paired/62710d3b-d101-4614-ba47-13aad6845492_0.png", "image_2": "Perception/paired/62710d3b-d101-4614-ba47-13aad6845492_1.png", "question": "Is impulse noise the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "b269d700-732b-486b-a017-cc66f7e3925f", "image_1": "Perception/paired/b269d700-732b-486b-a017-cc66f7e3925f_0.png", "image_2": "Perception/paired/b269d700-732b-486b-a017-cc66f7e3925f_1.png", "question": "Is there impulse noise present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "caddba8e-3e07-4047-9236-d9f8a8bd11e4", "image_1": "Perception/paired/caddba8e-3e07-4047-9236-d9f8a8bd11e4_0.png", "image_2": "Perception/paired/caddba8e-3e07-4047-9236-d9f8a8bd11e4_1.png", "question": "Does impulse noise obscure details in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "ffaee431-5e8f-4d24-b4fd-180d29177a54", "image_1": "Perception/paired/ffaee431-5e8f-4d24-b4fd-180d29177a54_0.png", "image_2": "Perception/paired/ffaee431-5e8f-4d24-b4fd-180d29177a54_1.png", "question": "Is impulse noise the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "41ea6654-a8a7-4987-83a3-5994e6ecce8d", "image_1": "Perception/paired/41ea6654-a8a7-4987-83a3-5994e6ecce8d_0.png", "image_2": "Perception/paired/41ea6654-a8a7-4987-83a3-5994e6ecce8d_1.png", "question": "Does impulse noise result in missing information in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "438fc627-e1f4-47a1-aaf7-e98f576a5dec", "image_1": "Perception/paired/438fc627-e1f4-47a1-aaf7-e98f576a5dec_0.png", "image_2": "Perception/paired/438fc627-e1f4-47a1-aaf7-e98f576a5dec_1.png", "question": "Does impulse noise affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "f3c613a5-96bb-4f08-ae73-924bde392f30", "image_1": "Perception/paired/f3c613a5-96bb-4f08-ae73-924bde392f30_0.png", "image_2": "Perception/paired/f3c613a5-96bb-4f08-ae73-924bde392f30_1.png", "question": "Is impulse noise responsible for visual artifacts in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "66889f18-f4b4-4b49-905a-f24569ef9782", "image_1": "Perception/paired/66889f18-f4b4-4b49-905a-f24569ef9782_0.png", "image_2": "Perception/paired/66889f18-f4b4-4b49-905a-f24569ef9782_1.png", "question": "Is impulse noise a dominant distortion in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "9e2375a3-392f-4209-aaa1-b98b1ab3ecf7", "image_1": "Perception/paired/9e2375a3-392f-4209-aaa1-b98b1ab3ecf7_0.png", "image_2": "Perception/paired/9e2375a3-392f-4209-aaa1-b98b1ab3ecf7_1.png", "question": "Is impulse noise the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "a4f0c2e6-3606-4aab-a40e-4fb33b42e2cb", "image_1": "Perception/paired/a4f0c2e6-3606-4aab-a40e-4fb33b42e2cb_0.png", "image_2": "Perception/paired/a4f0c2e6-3606-4aab-a40e-4fb33b42e2cb_1.png", "question": "Does Image 2 contain impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "1b24bacc-6065-4a04-b12c-62856cdec2da", "image_1": "Perception/paired/1b24bacc-6065-4a04-b12c-62856cdec2da_0.png", "image_2": "Perception/paired/1b24bacc-6065-4a04-b12c-62856cdec2da_1.png", "question": "Is impulse noise a dominant distortion in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "bda6a050-4592-441c-a8bd-352ef377cb56", "image_1": "Perception/paired/bda6a050-4592-441c-a8bd-352ef377cb56_0.png", "image_2": "Perception/paired/bda6a050-4592-441c-a8bd-352ef377cb56_1.png", "question": "Does impulse noise lead to information loss in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "90e972e6-f770-4aeb-8cb9-96c69303a633", "image_1": "Perception/paired/90e972e6-f770-4aeb-8cb9-96c69303a633_0.png", "image_2": "Perception/paired/90e972e6-f770-4aeb-8cb9-96c69303a633_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "50355127-ed13-4507-a89a-31206625dab8", "image_1": "Perception/paired/50355127-ed13-4507-a89a-31206625dab8_0.png", "image_2": "Perception/paired/50355127-ed13-4507-a89a-31206625dab8_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable spatially correlated noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "497c5399-007b-4a45-bb2c-2d1ee37b15ab", "image_1": "Perception/paired/497c5399-007b-4a45-bb2c-2d1ee37b15ab_0.png", "image_2": "Perception/paired/497c5399-007b-4a45-bb2c-2d1ee37b15ab_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable spatially correlated noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "f4911635-ba19-4ec6-b1c9-f8ea998da4bc", "image_1": "Perception/paired/f4911635-ba19-4ec6-b1c9-f8ea998da4bc_0.png", "image_2": "Perception/paired/f4911635-ba19-4ec6-b1c9-f8ea998da4bc_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "f01b7f24-d17a-4827-bc99-494083e5414b", "image_1": "Perception/paired/f01b7f24-d17a-4827-bc99-494083e5414b_0.png", "image_2": "Perception/paired/f01b7f24-d17a-4827-bc99-494083e5414b_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "ed53e319-51d4-474e-a401-fb8226baf969", "image_1": "Perception/paired/ed53e319-51d4-474e-a401-fb8226baf969_0.png", "image_2": "Perception/paired/ed53e319-51d4-474e-a401-fb8226baf969_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "05378e01-c66f-46fb-a226-020d8780ac01", "image_1": "Perception/paired/05378e01-c66f-46fb-a226-020d8780ac01_0.png", "image_2": "Perception/paired/05378e01-c66f-46fb-a226-020d8780ac01_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "1c37976d-a5d1-480c-912a-2911b96645b5", "image_1": "Perception/paired/1c37976d-a5d1-480c-912a-2911b96645b5_0.png", "image_2": "Perception/paired/1c37976d-a5d1-480c-912a-2911b96645b5_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "ae769237-9e40-4a4c-8712-4795cb102697", "image_1": "Perception/paired/ae769237-9e40-4a4c-8712-4795cb102697_0.png", "image_2": "Perception/paired/ae769237-9e40-4a4c-8712-4795cb102697_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "d7eb34fb-c810-4f57-aeee-939a1e3a7da5", "image_1": "Perception/paired/d7eb34fb-c810-4f57-aeee-939a1e3a7da5_0.png", "image_2": "Perception/paired/d7eb34fb-c810-4f57-aeee-939a1e3a7da5_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable spatially correlated noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "ae3d0c81-c702-4d07-aaa0-6f7eb6c5b720", "image_1": "Perception/paired/ae3d0c81-c702-4d07-aaa0-6f7eb6c5b720_0.png", "image_2": "Perception/paired/ae3d0c81-c702-4d07-aaa0-6f7eb6c5b720_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "f1bc4521-f463-4620-beb4-31496a14886e", "image_1": "Perception/paired/f1bc4521-f463-4620-beb4-31496a14886e_0.png", "image_2": "Perception/paired/f1bc4521-f463-4620-beb4-31496a14886e_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "17fbf8c9-9deb-4045-adf5-66adac46425d", "image_1": "Perception/paired/17fbf8c9-9deb-4045-adf5-66adac46425d_0.png", "image_2": "Perception/paired/17fbf8c9-9deb-4045-adf5-66adac46425d_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of spatially correlated noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "1efa32cc-6756-480d-a3c6-a3ec7f856560", "image_1": "Perception/paired/1efa32cc-6756-480d-a3c6-a3ec7f856560_0.png", "image_2": "Perception/paired/1efa32cc-6756-480d-a3c6-a3ec7f856560_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable spatially correlated noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "83bf02fa-f9ed-4cce-a33e-a194e9f2acc5", "image_1": "Perception/paired/83bf02fa-f9ed-4cce-a33e-a194e9f2acc5_0.png", "image_2": "Perception/paired/83bf02fa-f9ed-4cce-a33e-a194e9f2acc5_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of spatially correlated noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "9492cd60-adc6-4609-a065-1825310fd7d3", "image_1": "Perception/paired/9492cd60-adc6-4609-a065-1825310fd7d3_0.png", "image_2": "Perception/paired/9492cd60-adc6-4609-a065-1825310fd7d3_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "71d13e8a-66d5-469a-951c-67768ebdd648", "image_1": "Perception/paired/71d13e8a-66d5-469a-951c-67768ebdd648_0.png", "image_2": "Perception/paired/71d13e8a-66d5-469a-951c-67768ebdd648_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable spatially correlated noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "ca58fb16-d5e7-406e-92a8-bde9cbfde571", "image_1": "Perception/paired/ca58fb16-d5e7-406e-92a8-bde9cbfde571_0.png", "image_2": "Perception/paired/ca58fb16-d5e7-406e-92a8-bde9cbfde571_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable spatially correlated noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "8ee9af4f-58c2-4a97-985e-e4b56eaa9c64", "image_1": "Perception/paired/8ee9af4f-58c2-4a97-985e-e4b56eaa9c64_0.png", "image_2": "Perception/paired/8ee9af4f-58c2-4a97-985e-e4b56eaa9c64_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable spatially correlated noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "694e3f14-e392-4431-b7a5-46248ad062af", "image_1": "Perception/paired/694e3f14-e392-4431-b7a5-46248ad062af_0.png", "image_2": "Perception/paired/694e3f14-e392-4431-b7a5-46248ad062af_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "4ffd014e-bb6c-41f9-a036-6eaca774fe65", "image_1": "Perception/paired/4ffd014e-bb6c-41f9-a036-6eaca774fe65_0.png", "image_2": "Perception/paired/4ffd014e-bb6c-41f9-a036-6eaca774fe65_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "d2ef76c8-8147-4b92-9819-b4cd8d620dcc", "image_1": "Perception/paired/d2ef76c8-8147-4b92-9819-b4cd8d620dcc_0.png", "image_2": "Perception/paired/d2ef76c8-8147-4b92-9819-b4cd8d620dcc_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of spatially correlated noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "b5430e1b-947e-4c69-9a0c-4323cdaaf476", "image_1": "Perception/paired/b5430e1b-947e-4c69-9a0c-4323cdaaf476_0.png", "image_2": "Perception/paired/b5430e1b-947e-4c69-9a0c-4323cdaaf476_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of spatially correlated noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "55c4ac26-40b9-41f9-9515-a246906fa7b9", "image_1": "Perception/paired/55c4ac26-40b9-41f9-9515-a246906fa7b9_0.png", "image_2": "Perception/paired/55c4ac26-40b9-41f9-9515-a246906fa7b9_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable spatially correlated noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "22d5ff08-c617-453d-b163-bccb619e0f6f", "image_1": "Perception/paired/22d5ff08-c617-453d-b163-bccb619e0f6f_0.png", "image_2": "Perception/paired/22d5ff08-c617-453d-b163-bccb619e0f6f_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of spatially correlated noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "a2c822b0-1e9b-4d8e-95c7-59eb2108a238", "image_1": "Perception/paired/a2c822b0-1e9b-4d8e-95c7-59eb2108a238_0.png", "image_2": "Perception/paired/a2c822b0-1e9b-4d8e-95c7-59eb2108a238_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "ea5c6193-9af5-4392-b9d3-e10a13508485", "image_1": "Perception/paired/ea5c6193-9af5-4392-b9d3-e10a13508485_0.png", "image_2": "Perception/paired/ea5c6193-9af5-4392-b9d3-e10a13508485_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "60653406-f500-4419-809c-6f6180cc7506", "image_1": "Perception/paired/60653406-f500-4419-809c-6f6180cc7506_0.png", "image_2": "Perception/paired/60653406-f500-4419-809c-6f6180cc7506_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "9edeafad-77c0-4fa2-ac44-d1986836ffae", "image_1": "Perception/paired/9edeafad-77c0-4fa2-ac44-d1986836ffae_0.png", "image_2": "Perception/paired/9edeafad-77c0-4fa2-ac44-d1986836ffae_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "e4b83416-664d-4dbf-9a1a-87ef903abb7c", "image_1": "Perception/paired/e4b83416-664d-4dbf-9a1a-87ef903abb7c_0.png", "image_2": "Perception/paired/e4b83416-664d-4dbf-9a1a-87ef903abb7c_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of spatially correlated noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "d4255174-b71d-4429-9603-2015cb637f39", "image_1": "Perception/paired/d4255174-b71d-4429-9603-2015cb637f39_0.png", "image_2": "Perception/paired/d4255174-b71d-4429-9603-2015cb637f39_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "14efcdc6-22ed-48ba-b237-49215b5f2b49", "image_1": "Perception/paired/14efcdc6-22ed-48ba-b237-49215b5f2b49_0.png", "image_2": "Perception/paired/14efcdc6-22ed-48ba-b237-49215b5f2b49_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "91909d38-5a33-4e06-b545-295539fe9b18", "image_1": "Perception/paired/91909d38-5a33-4e06-b545-295539fe9b18_0.png", "image_2": "Perception/paired/91909d38-5a33-4e06-b545-295539fe9b18_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "a2bbb86c-0b69-4fbf-90c0-c5d4224550fe", "image_1": "Perception/paired/a2bbb86c-0b69-4fbf-90c0-c5d4224550fe_0.png", "image_2": "Perception/paired/a2bbb86c-0b69-4fbf-90c0-c5d4224550fe_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of spatially correlated noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "4e7e2a1b-3a66-45c7-b3e1-bf4eac86dc30", "image_1": "Perception/paired/4e7e2a1b-3a66-45c7-b3e1-bf4eac86dc30_0.png", "image_2": "Perception/paired/4e7e2a1b-3a66-45c7-b3e1-bf4eac86dc30_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "1e08be27-a5ef-4d10-b8c1-3b506edb4d4c", "image_1": "Perception/paired/1e08be27-a5ef-4d10-b8c1-3b506edb4d4c_0.png", "image_2": "Perception/paired/1e08be27-a5ef-4d10-b8c1-3b506edb4d4c_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "f67e7b29-022b-4fa6-9cf7-8568b9830dd7", "image_1": "Perception/paired/f67e7b29-022b-4fa6-9cf7-8568b9830dd7_0.png", "image_2": "Perception/paired/f67e7b29-022b-4fa6-9cf7-8568b9830dd7_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "4206ed21-a130-4d17-8f5e-b8b2b2420653", "image_1": "Perception/paired/4206ed21-a130-4d17-8f5e-b8b2b2420653_0.png", "image_2": "Perception/paired/4206ed21-a130-4d17-8f5e-b8b2b2420653_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable spatially correlated noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "88292edd-18a2-4e51-b94b-a9d853f45cee", "image_1": "Perception/paired/88292edd-18a2-4e51-b94b-a9d853f45cee_0.png", "image_2": "Perception/paired/88292edd-18a2-4e51-b94b-a9d853f45cee_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "a7497773-b9a1-4555-8770-5122dcf3224f", "image_1": "Perception/paired/a7497773-b9a1-4555-8770-5122dcf3224f_0.png", "image_2": "Perception/paired/a7497773-b9a1-4555-8770-5122dcf3224f_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "a84f2c0e-f186-4e20-8eb5-9243b24eae70", "image_1": "Perception/paired/a84f2c0e-f186-4e20-8eb5-9243b24eae70_0.png", "image_2": "Perception/paired/a84f2c0e-f186-4e20-8eb5-9243b24eae70_1.png", "question": "Is spatially correlated noise visible in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "0c0a7564-51b4-4997-a1b0-c1482ab06d8e", "image_1": "Perception/paired/0c0a7564-51b4-4997-a1b0-c1482ab06d8e_0.png", "image_2": "Perception/paired/0c0a7564-51b4-4997-a1b0-c1482ab06d8e_1.png", "question": "Does spatially correlated noise compromise the data integrity of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "57c50363-b0e0-487d-af08-0c5e8455384f", "image_1": "Perception/paired/57c50363-b0e0-487d-af08-0c5e8455384f_0.png", "image_2": "Perception/paired/57c50363-b0e0-487d-af08-0c5e8455384f_1.png", "question": "Does spatially correlated noise compromise the data integrity of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "3fdda5f6-b5f3-4a25-be9c-d186635193fc", "image_1": "Perception/paired/3fdda5f6-b5f3-4a25-be9c-d186635193fc_0.png", "image_2": "Perception/paired/3fdda5f6-b5f3-4a25-be9c-d186635193fc_1.png", "question": "Does Image 2 show signs of spatially correlated noise relative to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "0d885513-381e-4ef2-b8ba-d83a98e390ec", "image_1": "Perception/paired/0d885513-381e-4ef2-b8ba-d83a98e390ec_0.png", "image_2": "Perception/paired/0d885513-381e-4ef2-b8ba-d83a98e390ec_1.png", "question": "Is there spatially correlated noise present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "ef2c4a5c-610e-4b42-8954-1ee0b57d613f", "image_1": "Perception/paired/ef2c4a5c-610e-4b42-8954-1ee0b57d613f_0.png", "image_2": "Perception/paired/ef2c4a5c-610e-4b42-8954-1ee0b57d613f_1.png", "question": "Does Image 2 contain spatially correlated noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "d89d0a24-00b8-4505-8585-60dafdf0b3ec", "image_1": "Perception/paired/d89d0a24-00b8-4505-8585-60dafdf0b3ec_0.png", "image_2": "Perception/paired/d89d0a24-00b8-4505-8585-60dafdf0b3ec_1.png", "question": "Does spatially correlated noise affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "76f9695a-a075-4e3f-bf0a-8d5a94b5c501", "image_1": "Perception/paired/76f9695a-a075-4e3f-bf0a-8d5a94b5c501_0.png", "image_2": "Perception/paired/76f9695a-a075-4e3f-bf0a-8d5a94b5c501_1.png", "question": "Is spatially correlated noise the primary source of degradation in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "316281bf-f0fd-4a2f-a63d-0df53f98744e", "image_1": "Perception/paired/316281bf-f0fd-4a2f-a63d-0df53f98744e_0.png", "image_2": "Perception/paired/316281bf-f0fd-4a2f-a63d-0df53f98744e_1.png", "question": "Is spatially correlated noise the primary source of degradation in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "4baab4ad-8074-43a2-8efd-c2a34211f203", "image_1": "Perception/paired/4baab4ad-8074-43a2-8efd-c2a34211f203_0.png", "image_2": "Perception/paired/4baab4ad-8074-43a2-8efd-c2a34211f203_1.png", "question": "Is spatially correlated noise apparent in this remote sensing scene (Image 2)?\nA.Yes\nB.No", "answer": "A"}
{"id": "ecbdbc96-59dc-4746-b6be-78288a66c164", "image_1": "Perception/paired/ecbdbc96-59dc-4746-b6be-78288a66c164_0.png", "image_2": "Perception/paired/ecbdbc96-59dc-4746-b6be-78288a66c164_1.png", "question": "Is Image 2 impacted by spatially correlated noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "7227b1a6-90ef-41cc-a5c9-724a2ea1fdad", "image_1": "Perception/paired/7227b1a6-90ef-41cc-a5c9-724a2ea1fdad_0.png", "image_2": "Perception/paired/7227b1a6-90ef-41cc-a5c9-724a2ea1fdad_1.png", "question": "Can spatially correlated noise be observed in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "fda8a69f-a7de-4cb1-8527-694bccaf188c", "image_1": "Perception/paired/fda8a69f-a7de-4cb1-8527-694bccaf188c_0.png", "image_2": "Perception/paired/fda8a69f-a7de-4cb1-8527-694bccaf188c_1.png", "question": "Is spatially correlated noise a critical issue in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "351256cd-e0b4-4733-9514-27e669501ee3", "image_1": "Perception/paired/351256cd-e0b4-4733-9514-27e669501ee3_0.png", "image_2": "Perception/paired/351256cd-e0b4-4733-9514-27e669501ee3_1.png", "question": "Does Image 2 exhibit spatially correlated noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "971ea482-86ab-4c69-a5ab-900e614a50f2", "image_1": "Perception/paired/971ea482-86ab-4c69-a5ab-900e614a50f2_0.png", "image_2": "Perception/paired/971ea482-86ab-4c69-a5ab-900e614a50f2_1.png", "question": "Can spatially correlated noise be observed in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "6eacc0b8-e141-4f1f-b2e3-11124aa21d82", "image_1": "Perception/paired/6eacc0b8-e141-4f1f-b2e3-11124aa21d82_0.png", "image_2": "Perception/paired/6eacc0b8-e141-4f1f-b2e3-11124aa21d82_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "e1849344-400c-439a-ae84-7f71c18242c6", "image_1": "Perception/paired/e1849344-400c-439a-ae84-7f71c18242c6_0.png", "image_2": "Perception/paired/e1849344-400c-439a-ae84-7f71c18242c6_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable stripe noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "c304c167-e3c3-4632-8f11-3585ddb8e38f", "image_1": "Perception/paired/c304c167-e3c3-4632-8f11-3585ddb8e38f_0.png", "image_2": "Perception/paired/c304c167-e3c3-4632-8f11-3585ddb8e38f_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable stripe noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "422d4848-05e7-4f28-ae04-5949498f7605", "image_1": "Perception/paired/422d4848-05e7-4f28-ae04-5949498f7605_0.png", "image_2": "Perception/paired/422d4848-05e7-4f28-ae04-5949498f7605_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "24230fe0-6d0b-4c1a-b23a-b24d369abac1", "image_1": "Perception/paired/24230fe0-6d0b-4c1a-b23a-b24d369abac1_0.png", "image_2": "Perception/paired/24230fe0-6d0b-4c1a-b23a-b24d369abac1_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "6da18085-9af5-4e4f-95fc-856c7afe8dbc", "image_1": "Perception/paired/6da18085-9af5-4e4f-95fc-856c7afe8dbc_0.png", "image_2": "Perception/paired/6da18085-9af5-4e4f-95fc-856c7afe8dbc_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "9c984ab7-2932-4e74-8107-322bfba59d11", "image_1": "Perception/paired/9c984ab7-2932-4e74-8107-322bfba59d11_0.png", "image_2": "Perception/paired/9c984ab7-2932-4e74-8107-322bfba59d11_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "b0aaff5e-90cf-43fb-9f6e-ffa00431f3e7", "image_1": "Perception/paired/b0aaff5e-90cf-43fb-9f6e-ffa00431f3e7_0.png", "image_2": "Perception/paired/b0aaff5e-90cf-43fb-9f6e-ffa00431f3e7_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "77077936-12d3-42a7-aa5e-545503f09380", "image_1": "Perception/paired/77077936-12d3-42a7-aa5e-545503f09380_0.png", "image_2": "Perception/paired/77077936-12d3-42a7-aa5e-545503f09380_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "89d3d8a2-3b0a-4179-aa57-088e463173be", "image_1": "Perception/paired/89d3d8a2-3b0a-4179-aa57-088e463173be_0.png", "image_2": "Perception/paired/89d3d8a2-3b0a-4179-aa57-088e463173be_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable stripe noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "02a62df2-857d-4911-9593-a84e17c74e2e", "image_1": "Perception/paired/02a62df2-857d-4911-9593-a84e17c74e2e_0.png", "image_2": "Perception/paired/02a62df2-857d-4911-9593-a84e17c74e2e_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "fd11a1c6-c005-43b0-bebc-622abdf75b8e", "image_1": "Perception/paired/fd11a1c6-c005-43b0-bebc-622abdf75b8e_0.png", "image_2": "Perception/paired/fd11a1c6-c005-43b0-bebc-622abdf75b8e_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "89c4e271-91bc-4ca4-89cd-603434039250", "image_1": "Perception/paired/89c4e271-91bc-4ca4-89cd-603434039250_0.png", "image_2": "Perception/paired/89c4e271-91bc-4ca4-89cd-603434039250_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "9b895ad1-209d-4134-99ad-beaefbbf6c42", "image_1": "Perception/paired/9b895ad1-209d-4134-99ad-beaefbbf6c42_0.png", "image_2": "Perception/paired/9b895ad1-209d-4134-99ad-beaefbbf6c42_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable stripe noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "37691e3f-9347-4dac-b44e-7523fea87459", "image_1": "Perception/paired/37691e3f-9347-4dac-b44e-7523fea87459_0.png", "image_2": "Perception/paired/37691e3f-9347-4dac-b44e-7523fea87459_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "de16dda6-4c2f-4bb0-8f0a-3b679f5a8159", "image_1": "Perception/paired/de16dda6-4c2f-4bb0-8f0a-3b679f5a8159_0.png", "image_2": "Perception/paired/de16dda6-4c2f-4bb0-8f0a-3b679f5a8159_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "ae871c85-ee71-4886-8c00-c1b2fd4e4577", "image_1": "Perception/paired/ae871c85-ee71-4886-8c00-c1b2fd4e4577_0.png", "image_2": "Perception/paired/ae871c85-ee71-4886-8c00-c1b2fd4e4577_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable stripe noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "c854de16-d331-4631-b9b5-2749824590f3", "image_1": "Perception/paired/c854de16-d331-4631-b9b5-2749824590f3_0.png", "image_2": "Perception/paired/c854de16-d331-4631-b9b5-2749824590f3_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable stripe noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "b906b0cd-634a-4731-b2d6-6614fbacd133", "image_1": "Perception/paired/b906b0cd-634a-4731-b2d6-6614fbacd133_0.png", "image_2": "Perception/paired/b906b0cd-634a-4731-b2d6-6614fbacd133_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable stripe noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "684a2069-9231-49e2-a02a-70f9c065b945", "image_1": "Perception/paired/684a2069-9231-49e2-a02a-70f9c065b945_0.png", "image_2": "Perception/paired/684a2069-9231-49e2-a02a-70f9c065b945_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "3da34267-e47b-422f-ae4a-863c0d776445", "image_1": "Perception/paired/3da34267-e47b-422f-ae4a-863c0d776445_0.png", "image_2": "Perception/paired/3da34267-e47b-422f-ae4a-863c0d776445_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "bfc0e4c5-94df-4bf6-a917-eb1f8a7c0296", "image_1": "Perception/paired/bfc0e4c5-94df-4bf6-a917-eb1f8a7c0296_0.png", "image_2": "Perception/paired/bfc0e4c5-94df-4bf6-a917-eb1f8a7c0296_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "05b35d85-41c9-4d99-a614-4f6938e76a9c", "image_1": "Perception/paired/05b35d85-41c9-4d99-a614-4f6938e76a9c_0.png", "image_2": "Perception/paired/05b35d85-41c9-4d99-a614-4f6938e76a9c_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "51efdda5-0225-4a3f-874f-06867ffc0eba", "image_1": "Perception/paired/51efdda5-0225-4a3f-874f-06867ffc0eba_0.png", "image_2": "Perception/paired/51efdda5-0225-4a3f-874f-06867ffc0eba_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable stripe noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "96b3266b-6475-49c5-8938-dbc3492a5065", "image_1": "Perception/paired/96b3266b-6475-49c5-8938-dbc3492a5065_0.png", "image_2": "Perception/paired/96b3266b-6475-49c5-8938-dbc3492a5065_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "346cdf28-df2f-416b-bbc1-a64e9e95c06c", "image_1": "Perception/paired/346cdf28-df2f-416b-bbc1-a64e9e95c06c_0.png", "image_2": "Perception/paired/346cdf28-df2f-416b-bbc1-a64e9e95c06c_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "b12112f3-6a19-4fa4-8f88-77d696731f41", "image_1": "Perception/paired/b12112f3-6a19-4fa4-8f88-77d696731f41_0.png", "image_2": "Perception/paired/b12112f3-6a19-4fa4-8f88-77d696731f41_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "8b2c9c33-171b-4f77-b9c4-e1cc3859b11e", "image_1": "Perception/paired/8b2c9c33-171b-4f77-b9c4-e1cc3859b11e_0.png", "image_2": "Perception/paired/8b2c9c33-171b-4f77-b9c4-e1cc3859b11e_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "79a1ca17-1192-45e5-920e-c1c0d7ee7203", "image_1": "Perception/paired/79a1ca17-1192-45e5-920e-c1c0d7ee7203_0.png", "image_2": "Perception/paired/79a1ca17-1192-45e5-920e-c1c0d7ee7203_1.png", "question": "Does Image 2 preserve the same clarity as Image 1?\nA.Yes\nB.No", "answer": "B"}
{"id": "33fc08f6-e412-4665-a314-82f1b4253a68", "image_1": "Perception/paired/33fc08f6-e412-4665-a314-82f1b4253a68_0.png", "image_2": "Perception/paired/33fc08f6-e412-4665-a314-82f1b4253a68_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "58d4738a-7e19-45aa-9f5f-3f58858432b6", "image_1": "Perception/paired/58d4738a-7e19-45aa-9f5f-3f58858432b6_0.png", "image_2": "Perception/paired/58d4738a-7e19-45aa-9f5f-3f58858432b6_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "723855ef-26fd-4b3c-b23c-91fecac25b5f", "image_1": "Perception/paired/723855ef-26fd-4b3c-b23c-91fecac25b5f_0.png", "image_2": "Perception/paired/723855ef-26fd-4b3c-b23c-91fecac25b5f_1.png", "question": "Relative to Image 1, does Image 2 maintain equal or higher visual quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "6c0790d0-f166-4fcf-9c10-3c9b451f4c00", "image_1": "Perception/paired/6c0790d0-f166-4fcf-9c10-3c9b451f4c00_0.png", "image_2": "Perception/paired/6c0790d0-f166-4fcf-9c10-3c9b451f4c00_1.png", "question": "Compared to Image 1, does Image 2 look cleaner and less distorted?\nA.Yes\nB.No", "answer": "B"}
{"id": "72e9eb2a-e95d-4c6e-ab5e-436935af5215", "image_1": "Perception/paired/72e9eb2a-e95d-4c6e-ab5e-436935af5215_0.png", "image_2": "Perception/paired/72e9eb2a-e95d-4c6e-ab5e-436935af5215_1.png", "question": "Considering Image 1 as pristine, does Image 2 show strong signs of stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "db00b93d-eb6e-4191-96a9-ea15ec2a8bfa", "image_1": "Perception/paired/db00b93d-eb6e-4191-96a9-ea15ec2a8bfa_0.png", "image_2": "Perception/paired/db00b93d-eb6e-4191-96a9-ea15ec2a8bfa_1.png", "question": "Between the two images, does Image 2 display obvious distortion compared to Image 1?\nA.Yes\nB.No", "answer": "A"}
{"id": "143c960d-700e-4eba-9250-66cd065a9126", "image_1": "Perception/paired/143c960d-700e-4eba-9250-66cd065a9126_0.png", "image_2": "Perception/paired/143c960d-700e-4eba-9250-66cd065a9126_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "7517db1d-3d08-4371-8849-9f46a099578c", "image_1": "Perception/paired/7517db1d-3d08-4371-8849-9f46a099578c_0.png", "image_2": "Perception/paired/7517db1d-3d08-4371-8849-9f46a099578c_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "77c2c95a-f480-418a-b006-2acbf038e5ef", "image_1": "Perception/paired/77c2c95a-f480-418a-b006-2acbf038e5ef_0.png", "image_2": "Perception/paired/77c2c95a-f480-418a-b006-2acbf038e5ef_1.png", "question": "Compared with Image 1 (reference), does Image 2 exhibit noticeable stripe noise artifacts?\nA.Yes\nB.No", "answer": "A"}
{"id": "9711375b-09cf-4960-ac27-fd25801fdf29", "image_1": "Perception/paired/9711375b-09cf-4960-ac27-fd25801fdf29_0.png", "image_2": "Perception/paired/9711375b-09cf-4960-ac27-fd25801fdf29_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "266e8b14-2cf6-4b4d-b184-6aeac4398bed", "image_1": "Perception/paired/266e8b14-2cf6-4b4d-b184-6aeac4398bed_0.png", "image_2": "Perception/paired/266e8b14-2cf6-4b4d-b184-6aeac4398bed_1.png", "question": "Compared with Image 1, does Image 2 reveal visible quality degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "4a3698c3-a698-4722-907f-b5a0fc5381d0", "image_1": "Perception/paired/4a3698c3-a698-4722-907f-b5a0fc5381d0_0.png", "image_2": "Perception/paired/4a3698c3-a698-4722-907f-b5a0fc5381d0_1.png", "question": "Does stripe noise interfere with interpretation of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "05769551-703e-48d9-99d6-5594e03a639a", "image_1": "Perception/paired/05769551-703e-48d9-99d6-5594e03a639a_0.png", "image_2": "Perception/paired/05769551-703e-48d9-99d6-5594e03a639a_1.png", "question": "Is stripe noise the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "9b398a19-b891-4693-a52f-35dad6bf825a", "image_1": "Perception/paired/9b398a19-b891-4693-a52f-35dad6bf825a_0.png", "image_2": "Perception/paired/9b398a19-b891-4693-a52f-35dad6bf825a_1.png", "question": "Is Image 2 impacted by stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "e381f296-20a3-4529-b08d-fbe7939d83e3", "image_1": "Perception/paired/e381f296-20a3-4529-b08d-fbe7939d83e3_0.png", "image_2": "Perception/paired/e381f296-20a3-4529-b08d-fbe7939d83e3_1.png", "question": "Can stripe noise be observed in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "9c4a4ccf-f859-4112-996a-d61553dbe0ad", "image_1": "Perception/paired/9c4a4ccf-f859-4112-996a-d61553dbe0ad_0.png", "image_2": "Perception/paired/9c4a4ccf-f859-4112-996a-d61553dbe0ad_1.png", "question": "Is stripe noise the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "519e659c-7fc0-41d8-bd27-32e742822132", "image_1": "Perception/paired/519e659c-7fc0-41d8-bd27-32e742822132_0.png", "image_2": "Perception/paired/519e659c-7fc0-41d8-bd27-32e742822132_1.png", "question": "Is stripe noise the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "ce6854bc-c812-4d31-8269-4a5ae87924d9", "image_1": "Perception/paired/ce6854bc-c812-4d31-8269-4a5ae87924d9_0.png", "image_2": "Perception/paired/ce6854bc-c812-4d31-8269-4a5ae87924d9_1.png", "question": "Does Image 2 exhibit stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "06d37939-f9a5-41e0-848a-3d88529975d3", "image_1": "Perception/paired/06d37939-f9a5-41e0-848a-3d88529975d3_0.png", "image_2": "Perception/paired/06d37939-f9a5-41e0-848a-3d88529975d3_1.png", "question": "Does Image 2 exhibit stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "3d541785-bfad-4a9c-8bfa-4815f44ef27e", "image_1": "Perception/paired/3d541785-bfad-4a9c-8bfa-4815f44ef27e_0.png", "image_2": "Perception/paired/3d541785-bfad-4a9c-8bfa-4815f44ef27e_1.png", "question": "Does stripe noise affect the quality of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "a24fa10c-e04d-444b-8e80-29620e5c2c50", "image_1": "Perception/paired/a24fa10c-e04d-444b-8e80-29620e5c2c50_0.png", "image_2": "Perception/paired/a24fa10c-e04d-444b-8e80-29620e5c2c50_1.png", "question": "Does stripe noise compromise the data integrity of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "bbe9a8b1-4085-48b7-bd59-a8d6aadfac2e", "image_1": "Perception/paired/bbe9a8b1-4085-48b7-bd59-a8d6aadfac2e_0.png", "image_2": "Perception/paired/bbe9a8b1-4085-48b7-bd59-a8d6aadfac2e_1.png", "question": "Does stripe noise compromise the data integrity of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "c05b85b5-6173-46ad-999b-7253241a3582", "image_1": "Perception/paired/c05b85b5-6173-46ad-999b-7253241a3582_0.png", "image_2": "Perception/paired/c05b85b5-6173-46ad-999b-7253241a3582_1.png", "question": "Is there stripe noise present in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "5e68169a-b3f8-4c69-8e3d-1b2572ca27e9", "image_1": "Perception/paired/5e68169a-b3f8-4c69-8e3d-1b2572ca27e9_0.png", "image_2": "Perception/paired/5e68169a-b3f8-4c69-8e3d-1b2572ca27e9_1.png", "question": "Is stripe noise the main factor in the distortion of Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "df065de1-f5e5-4c11-9778-a22140e4edc8", "image_1": "Perception/paired/df065de1-f5e5-4c11-9778-a22140e4edc8_0.png", "image_2": "Perception/paired/df065de1-f5e5-4c11-9778-a22140e4edc8_1.png", "question": "Is stripe noise present and significant in Image 2?\nA.Yes\nB.No", "answer": "A"}
{"id": "5cc17d1a-cc03-410e-9651-1bfaa5cd805c", "image_1": "Perception/paired/5cc17d1a-cc03-410e-9651-1bfaa5cd805c_0.png", "image_2": "Perception/paired/5cc17d1a-cc03-410e-9651-1bfaa5cd805c_1.png", "question": "Comparing to Image 1, does Image 2 contain stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "4cd3ebc3-a61f-49df-b3be-40a6cd350a65", "image_1": "Perception/single/4cd3ebc3-a61f-49df-b3be-40a6cd350a65_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "11c5960c-58fb-4959-872f-bd38616d42bc", "image_1": "Perception/single/11c5960c-58fb-4959-872f-bd38616d42bc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "485e9d38-7052-4f28-8ad3-966ea362915f", "image_1": "Perception/single/485e9d38-7052-4f28-8ad3-966ea362915f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "7e1d4985-78a0-45d1-aaaa-973ea4be42ed", "image_1": "Perception/single/7e1d4985-78a0-45d1-aaaa-973ea4be42ed_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "648280aa-bd4f-4c5f-b07a-5809a552c7e5", "image_1": "Perception/single/648280aa-bd4f-4c5f-b07a-5809a552c7e5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c4ed80c3-866d-4668-a911-8bf5f8c2cb8c", "image_1": "Perception/single/c4ed80c3-866d-4668-a911-8bf5f8c2cb8c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f404a621-4a25-4b6f-8c2d-cceae4e19252", "image_1": "Perception/single/f404a621-4a25-4b6f-8c2d-cceae4e19252_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "8df7fbc8-0b64-4156-b203-0a6ea3c46398", "image_1": "Perception/single/8df7fbc8-0b64-4156-b203-0a6ea3c46398_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "158357eb-17d8-41de-a147-63790015926b", "image_1": "Perception/single/158357eb-17d8-41de-a147-63790015926b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "84af742a-ffef-4de3-b017-26760df0fbd1", "image_1": "Perception/single/84af742a-ffef-4de3-b017-26760df0fbd1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "58095732-595c-4f1d-be0a-f7d69529ab41", "image_1": "Perception/single/58095732-595c-4f1d-be0a-f7d69529ab41_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "8d19b960-633b-4765-b149-1204cb6c66fb", "image_1": "Perception/single/8d19b960-633b-4765-b149-1204cb6c66fb_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "304a47ff-b63c-46fd-9eb1-a65aefae7988", "image_1": "Perception/single/304a47ff-b63c-46fd-9eb1-a65aefae7988_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0254db38-6194-4077-b211-e9026ac911ec", "image_1": "Perception/single/0254db38-6194-4077-b211-e9026ac911ec_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "930cec84-7ff3-4373-bd73-f7c316525187", "image_1": "Perception/single/930cec84-7ff3-4373-bd73-f7c316525187_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ea203246-a3bd-4336-bd67-f6fea2d59679", "image_1": "Perception/single/ea203246-a3bd-4336-bd67-f6fea2d59679_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0f7cc581-e307-4c97-bc9c-a508880ce78d", "image_1": "Perception/single/0f7cc581-e307-4c97-bc9c-a508880ce78d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0eb1b566-9036-4882-829c-fca970f33e22", "image_1": "Perception/single/0eb1b566-9036-4882-829c-fca970f33e22_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0459fd2d-98cb-4586-9301-a34f89eb6e79", "image_1": "Perception/single/0459fd2d-98cb-4586-9301-a34f89eb6e79_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "61de3490-dc09-4021-9f86-37f41d610731", "image_1": "Perception/single/61de3490-dc09-4021-9f86-37f41d610731_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f38fc109-ff76-4e06-8403-7b55cea59294", "image_1": "Perception/single/f38fc109-ff76-4e06-8403-7b55cea59294_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "53688be2-aff4-4131-81cb-da41e50a1370", "image_1": "Perception/single/53688be2-aff4-4131-81cb-da41e50a1370_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "f3dab4dc-0bf3-4f61-89ee-68326d4256bc", "image_1": "Perception/single/f3dab4dc-0bf3-4f61-89ee-68326d4256bc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9ab05482-1090-4eda-a2c3-731a9d445cbe", "image_1": "Perception/single/9ab05482-1090-4eda-a2c3-731a9d445cbe_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e91254fb-03e0-4b56-994c-70c12dd36881", "image_1": "Perception/single/e91254fb-03e0-4b56-994c-70c12dd36881_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "072da12c-f4db-483b-aff3-9d51ff97b0da", "image_1": "Perception/single/072da12c-f4db-483b-aff3-9d51ff97b0da_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "d3ea3169-8325-464f-8daa-046a0de2b193", "image_1": "Perception/single/d3ea3169-8325-464f-8daa-046a0de2b193_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f98bc78f-a12e-4d3b-a6cc-008e9cca00be", "image_1": "Perception/single/f98bc78f-a12e-4d3b-a6cc-008e9cca00be_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "fe3a28e8-b87b-4567-b444-a3f1e5de63c9", "image_1": "Perception/single/fe3a28e8-b87b-4567-b444-a3f1e5de63c9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "31a96443-0a93-4282-b298-42a0d3744a23", "image_1": "Perception/single/31a96443-0a93-4282-b298-42a0d3744a23_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "02749818-a137-4a90-b6e7-6e91dc2fb3c4", "image_1": "Perception/single/02749818-a137-4a90-b6e7-6e91dc2fb3c4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "099b7624-d187-41c2-9b3a-7e5f31e14061", "image_1": "Perception/single/099b7624-d187-41c2-9b3a-7e5f31e14061_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "b057adfa-c7b9-4e64-968e-0e1880a30969", "image_1": "Perception/single/b057adfa-c7b9-4e64-968e-0e1880a30969_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "bf41a753-2c66-4d46-98b4-ceec70861e1d", "image_1": "Perception/single/bf41a753-2c66-4d46-98b4-ceec70861e1d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b5363771-26fe-4c8b-b180-09e9eede55ab", "image_1": "Perception/single/b5363771-26fe-4c8b-b180-09e9eede55ab_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "228f9013-0256-4803-92fa-39d387f5ce6c", "image_1": "Perception/single/228f9013-0256-4803-92fa-39d387f5ce6c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c4f09254-c44d-43c7-83f9-585ac4f0a1a4", "image_1": "Perception/single/c4f09254-c44d-43c7-83f9-585ac4f0a1a4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b8726af6-8494-484a-9803-e46666382dac", "image_1": "Perception/single/b8726af6-8494-484a-9803-e46666382dac_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "600b0d7b-065c-4042-ba5e-14384f7b6e3e", "image_1": "Perception/single/600b0d7b-065c-4042-ba5e-14384f7b6e3e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "7795a377-12b6-4d72-bfd8-2bb834d36cee", "image_1": "Perception/single/7795a377-12b6-4d72-bfd8-2bb834d36cee_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ad37acbf-a121-45e4-a0b5-d858d880b00e", "image_1": "Perception/single/ad37acbf-a121-45e4-a0b5-d858d880b00e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "70a419c6-640f-4864-a312-014cf44ba878", "image_1": "Perception/single/70a419c6-640f-4864-a312-014cf44ba878_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "dacb6e6d-eded-4b0d-8cd5-aa5bfe4180bd", "image_1": "Perception/single/dacb6e6d-eded-4b0d-8cd5-aa5bfe4180bd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "dfa2f543-3060-435b-b949-1c2bcc342a6f", "image_1": "Perception/single/dfa2f543-3060-435b-b949-1c2bcc342a6f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c8777dc4-c45c-473c-9881-011e478f8c57", "image_1": "Perception/single/c8777dc4-c45c-473c-9881-011e478f8c57_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "fd0e48f9-c943-416a-915a-9472464c83d8", "image_1": "Perception/single/fd0e48f9-c943-416a-915a-9472464c83d8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9651324c-1b1a-4a34-9681-cfc5393a0a2d", "image_1": "Perception/single/9651324c-1b1a-4a34-9681-cfc5393a0a2d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a3ef8259-c771-45c0-87e3-d623196b782d", "image_1": "Perception/single/a3ef8259-c771-45c0-87e3-d623196b782d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ebd26a7b-3d44-451d-9311-21d07fa7e490", "image_1": "Perception/single/ebd26a7b-3d44-451d-9311-21d07fa7e490_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "fad28d09-3e1f-4d75-8cb3-63decc29f4b0", "image_1": "Perception/single/fad28d09-3e1f-4d75-8cb3-63decc29f4b0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "47d3f543-9bc7-4c29-b742-ba91cada95a5", "image_1": "Perception/single/47d3f543-9bc7-4c29-b742-ba91cada95a5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "2cd3f6db-e1f2-4a6b-9c6b-56a8da1e0af9", "image_1": "Perception/single/2cd3f6db-e1f2-4a6b-9c6b-56a8da1e0af9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d20fa91d-780d-4e02-a3c1-e7c71ddfc6ba", "image_1": "Perception/single/d20fa91d-780d-4e02-a3c1-e7c71ddfc6ba_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "9defc927-e5b4-480f-94fb-01c98ebf4416", "image_1": "Perception/single/9defc927-e5b4-480f-94fb-01c98ebf4416_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "4efe2cf5-f077-4f98-bd5d-103dd1b81dd6", "image_1": "Perception/single/4efe2cf5-f077-4f98-bd5d-103dd1b81dd6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f9476df6-91e0-4258-8435-55720e05765a", "image_1": "Perception/single/f9476df6-91e0-4258-8435-55720e05765a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3489f60b-dfca-478d-a32e-48b6dda166de", "image_1": "Perception/single/3489f60b-dfca-478d-a32e-48b6dda166de_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "d228052d-1913-4088-b3d3-3e2a87a1e2e5", "image_1": "Perception/single/d228052d-1913-4088-b3d3-3e2a87a1e2e5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0cc5c5c8-db1f-473d-b957-0bf416decc9a", "image_1": "Perception/single/0cc5c5c8-db1f-473d-b957-0bf416decc9a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "64f33f82-e634-4c2e-a9ee-854b470a736f", "image_1": "Perception/single/64f33f82-e634-4c2e-a9ee-854b470a736f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "17d711d6-1c39-4c98-9bab-23386b7c29c9", "image_1": "Perception/single/17d711d6-1c39-4c98-9bab-23386b7c29c9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1a1a6a2f-f79c-48d7-832c-35a5c5362be6", "image_1": "Perception/single/1a1a6a2f-f79c-48d7-832c-35a5c5362be6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0d273fc7-1e86-464d-ba20-8b6fad434404", "image_1": "Perception/single/0d273fc7-1e86-464d-ba20-8b6fad434404_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "51bc32bd-9d92-4b38-8a70-97a0b81ddbf8", "image_1": "Perception/single/51bc32bd-9d92-4b38-8a70-97a0b81ddbf8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "20aa0ef7-a016-4400-a0c5-6f94d204eb9b", "image_1": "Perception/single/20aa0ef7-a016-4400-a0c5-6f94d204eb9b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9635d2ed-738b-4656-81d2-f25ca15e21c2", "image_1": "Perception/single/9635d2ed-738b-4656-81d2-f25ca15e21c2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "d3a66ecd-5767-4890-aff1-76fddbfab09f", "image_1": "Perception/single/d3a66ecd-5767-4890-aff1-76fddbfab09f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b04678de-da17-4f91-9e01-d08e6641f8bd", "image_1": "Perception/single/b04678de-da17-4f91-9e01-d08e6641f8bd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "1cc997cf-a810-4695-a304-755cc6b86117", "image_1": "Perception/single/1cc997cf-a810-4695-a304-755cc6b86117_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "be219200-ac9f-4c1b-8953-ca3c30ea9ea6", "image_1": "Perception/single/be219200-ac9f-4c1b-8953-ca3c30ea9ea6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0a5f501e-2b88-4d9d-bf45-6a2fd0ee1c13", "image_1": "Perception/single/0a5f501e-2b88-4d9d-bf45-6a2fd0ee1c13_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "33df5955-1f8d-40db-ae05-be208d47bdc1", "image_1": "Perception/single/33df5955-1f8d-40db-ae05-be208d47bdc1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "7e4d9f16-1d22-422a-bcdc-c670d37d3b34", "image_1": "Perception/single/7e4d9f16-1d22-422a-bcdc-c670d37d3b34_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3f9acbb5-55a9-4446-8f04-e3a99cf57860", "image_1": "Perception/single/3f9acbb5-55a9-4446-8f04-e3a99cf57860_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "9552e959-6178-4f53-9d7c-613d9583fba1", "image_1": "Perception/single/9552e959-6178-4f53-9d7c-613d9583fba1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "81cc4f80-7fbd-45df-87a5-7e55c843adc4", "image_1": "Perception/single/81cc4f80-7fbd-45df-87a5-7e55c843adc4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9bf9d3f1-14cb-4b9c-ad94-fa402c197c3c", "image_1": "Perception/single/9bf9d3f1-14cb-4b9c-ad94-fa402c197c3c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7f6007f8-a411-4850-a128-353fb67a017f", "image_1": "Perception/single/7f6007f8-a411-4850-a128-353fb67a017f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "def3634a-86e3-4212-9e65-6b2e5ab94599", "image_1": "Perception/single/def3634a-86e3-4212-9e65-6b2e5ab94599_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "defea8e4-4d4c-441b-8660-9b1a17276f51", "image_1": "Perception/single/defea8e4-4d4c-441b-8660-9b1a17276f51_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ad69b8f1-dead-456e-8f13-5de83832fb0c", "image_1": "Perception/single/ad69b8f1-dead-456e-8f13-5de83832fb0c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "6b0110ab-150e-45c2-8f46-32b3ed016500", "image_1": "Perception/single/6b0110ab-150e-45c2-8f46-32b3ed016500_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "cc08f0c2-c187-4d4d-84f8-b9d338a08ec1", "image_1": "Perception/single/cc08f0c2-c187-4d4d-84f8-b9d338a08ec1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "16d31528-8407-42e7-bcff-dc595f9ab0f4", "image_1": "Perception/single/16d31528-8407-42e7-bcff-dc595f9ab0f4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "b86a7cd8-8107-423f-91cf-24335b311e8a", "image_1": "Perception/single/b86a7cd8-8107-423f-91cf-24335b311e8a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "742ed491-ffe9-4a61-b963-497acb27dad9", "image_1": "Perception/single/742ed491-ffe9-4a61-b963-497acb27dad9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "6b78be15-b2e7-4171-a701-a34fbb4b59d9", "image_1": "Perception/single/6b78be15-b2e7-4171-a701-a34fbb4b59d9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8fe24c51-23c2-465c-a61c-8eef34a3a9f4", "image_1": "Perception/single/8fe24c51-23c2-465c-a61c-8eef34a3a9f4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "a6748831-240c-499a-bcac-b33e48f9e1e2", "image_1": "Perception/single/a6748831-240c-499a-bcac-b33e48f9e1e2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "18bb0d5f-2122-44af-8e32-c4fb53a70143", "image_1": "Perception/single/18bb0d5f-2122-44af-8e32-c4fb53a70143_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "800394cc-69ce-4bfc-bef1-d57247d20247", "image_1": "Perception/single/800394cc-69ce-4bfc-bef1-d57247d20247_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e92306da-8650-49fc-b03f-2685334e11c9", "image_1": "Perception/single/e92306da-8650-49fc-b03f-2685334e11c9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e0e886e8-6d1e-4aaa-b0e8-081d0a232181", "image_1": "Perception/single/e0e886e8-6d1e-4aaa-b0e8-081d0a232181_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9684ad82-8db8-43bf-b25b-84431de92c93", "image_1": "Perception/single/9684ad82-8db8-43bf-b25b-84431de92c93_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b2b3c504-4a6d-4fdc-8af0-29f014f657c3", "image_1": "Perception/single/b2b3c504-4a6d-4fdc-8af0-29f014f657c3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "d962674b-ca97-45a3-9ffb-e50848eaf26a", "image_1": "Perception/single/d962674b-ca97-45a3-9ffb-e50848eaf26a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "10a5ee60-8a45-4f1c-ba86-9fe2b7e4832a", "image_1": "Perception/single/10a5ee60-8a45-4f1c-ba86-9fe2b7e4832a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "b0843e2a-8df6-4605-b4b6-1279eb71cac9", "image_1": "Perception/single/b0843e2a-8df6-4605-b4b6-1279eb71cac9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3fe870cb-cea5-4364-94a5-c441dc15370e", "image_1": "Perception/single/3fe870cb-cea5-4364-94a5-c441dc15370e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "eb6b560b-fc14-4593-a09e-c375579af973", "image_1": "Perception/single/eb6b560b-fc14-4593-a09e-c375579af973_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "901473ba-721c-4784-b54b-d6af5969fa00", "image_1": "Perception/single/901473ba-721c-4784-b54b-d6af5969fa00_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "4880d3db-a199-44d6-9694-da4622ad9490", "image_1": "Perception/single/4880d3db-a199-44d6-9694-da4622ad9490_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "31d01822-327c-416a-b3b4-a0af3016f938", "image_1": "Perception/single/31d01822-327c-416a-b3b4-a0af3016f938_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9ec8c248-17b5-4fe8-947b-1e7675054edb", "image_1": "Perception/single/9ec8c248-17b5-4fe8-947b-1e7675054edb_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1cdac441-e1f6-46e0-9aa5-62847f73d108", "image_1": "Perception/single/1cdac441-e1f6-46e0-9aa5-62847f73d108_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0b00057a-8954-4a26-a24e-e2ad3c097b70", "image_1": "Perception/single/0b00057a-8954-4a26-a24e-e2ad3c097b70_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3b291d5a-24fd-4457-b629-1b0a695921bc", "image_1": "Perception/single/3b291d5a-24fd-4457-b629-1b0a695921bc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "2dc8d082-67c5-4df5-843d-6082731657bd", "image_1": "Perception/single/2dc8d082-67c5-4df5-843d-6082731657bd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "81b6b8c9-682b-4477-826a-b56391861369", "image_1": "Perception/single/81b6b8c9-682b-4477-826a-b56391861369_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "57e7d0bd-b44f-4718-81ce-912ef7fb27a8", "image_1": "Perception/single/57e7d0bd-b44f-4718-81ce-912ef7fb27a8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "aed8ddaa-42a9-49b4-89f5-75a1c5b252e0", "image_1": "Perception/single/aed8ddaa-42a9-49b4-89f5-75a1c5b252e0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "3c4f6fe4-a2cd-4a03-b9e6-d06dc871cb27", "image_1": "Perception/single/3c4f6fe4-a2cd-4a03-b9e6-d06dc871cb27_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "cd269e4f-31cf-43ef-b09d-77ee6003f90a", "image_1": "Perception/single/cd269e4f-31cf-43ef-b09d-77ee6003f90a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a3b33027-708b-46fe-b9df-4db359a535a2", "image_1": "Perception/single/a3b33027-708b-46fe-b9df-4db359a535a2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "be65ef87-5068-4ff6-8327-2864874949a0", "image_1": "Perception/single/be65ef87-5068-4ff6-8327-2864874949a0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c6197ccf-f54b-483a-8e4b-87e069820509", "image_1": "Perception/single/c6197ccf-f54b-483a-8e4b-87e069820509_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "7cd0735a-e313-45f4-9537-874a9a79e40c", "image_1": "Perception/single/7cd0735a-e313-45f4-9537-874a9a79e40c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "316c76d8-2773-4f5c-beee-6e314bdb3980", "image_1": "Perception/single/316c76d8-2773-4f5c-beee-6e314bdb3980_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "6ca8dae5-820e-45fd-8d29-741613015036", "image_1": "Perception/single/6ca8dae5-820e-45fd-8d29-741613015036_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "14a18003-e878-4a1f-b05e-1707f1561e58", "image_1": "Perception/single/14a18003-e878-4a1f-b05e-1707f1561e58_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5cca203d-925b-4e75-9290-44cefbecd981", "image_1": "Perception/single/5cca203d-925b-4e75-9290-44cefbecd981_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0aeb514d-a491-4b23-89bf-68e6402f1f39", "image_1": "Perception/single/0aeb514d-a491-4b23-89bf-68e6402f1f39_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "dad78937-774c-4b35-a7ab-ce66ecebc839", "image_1": "Perception/single/dad78937-774c-4b35-a7ab-ce66ecebc839_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "9eff7f9e-95de-4976-9492-140f32ef7d8e", "image_1": "Perception/single/9eff7f9e-95de-4976-9492-140f32ef7d8e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ab4d1551-a435-4ce6-b732-30970e5b923c", "image_1": "Perception/single/ab4d1551-a435-4ce6-b732-30970e5b923c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "996ee065-5d7d-4974-9057-585be3a3e978", "image_1": "Perception/single/996ee065-5d7d-4974-9057-585be3a3e978_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "40423df0-c584-4460-a846-eba09f274eac", "image_1": "Perception/single/40423df0-c584-4460-a846-eba09f274eac_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "dc7bcf5b-8f64-4e09-85b9-14db318f3ded", "image_1": "Perception/single/dc7bcf5b-8f64-4e09-85b9-14db318f3ded_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a0933246-c63f-48c6-bef5-6d17fd2aea5e", "image_1": "Perception/single/a0933246-c63f-48c6-bef5-6d17fd2aea5e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "64adfc04-85c5-4b73-a1dd-00700f41c9a5", "image_1": "Perception/single/64adfc04-85c5-4b73-a1dd-00700f41c9a5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "63a5ef6b-16bd-4b60-835f-074a1e8a7482", "image_1": "Perception/single/63a5ef6b-16bd-4b60-835f-074a1e8a7482_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "87161d0d-718a-412e-aaf3-c8a8f1d7eac8", "image_1": "Perception/single/87161d0d-718a-412e-aaf3-c8a8f1d7eac8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a2dee4a2-1f72-4fe8-a3ef-1206725f17e3", "image_1": "Perception/single/a2dee4a2-1f72-4fe8-a3ef-1206725f17e3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "9dc65b1e-42b5-4934-b6fb-4021a62d2b5b", "image_1": "Perception/single/9dc65b1e-42b5-4934-b6fb-4021a62d2b5b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "bd235491-ba98-47f0-94d2-35d6af8d1a12", "image_1": "Perception/single/bd235491-ba98-47f0-94d2-35d6af8d1a12_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1da11a43-3284-4f56-898e-88ca4bf06756", "image_1": "Perception/single/1da11a43-3284-4f56-898e-88ca4bf06756_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a688fa5d-d7e0-4a1c-b74b-1b3be0e4a842", "image_1": "Perception/single/a688fa5d-d7e0-4a1c-b74b-1b3be0e4a842_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "b30a2b6a-eea5-4092-93cd-898c139cc3b0", "image_1": "Perception/single/b30a2b6a-eea5-4092-93cd-898c139cc3b0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "07576a08-4e21-46c1-8f9b-606e7a051ad1", "image_1": "Perception/single/07576a08-4e21-46c1-8f9b-606e7a051ad1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "64612f61-36f6-47cb-a402-b27f1cf6668c", "image_1": "Perception/single/64612f61-36f6-47cb-a402-b27f1cf6668c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "df73e46c-428f-429a-8b07-916ff1936477", "image_1": "Perception/single/df73e46c-428f-429a-8b07-916ff1936477_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "4fe7eb76-be61-456c-bf29-46107dd6713f", "image_1": "Perception/single/4fe7eb76-be61-456c-bf29-46107dd6713f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "39c1bb4e-3d0b-42e0-bddf-ae1915c9f933", "image_1": "Perception/single/39c1bb4e-3d0b-42e0-bddf-ae1915c9f933_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "b87750da-69da-45a1-9311-1b0f26544ff1", "image_1": "Perception/single/b87750da-69da-45a1-9311-1b0f26544ff1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "4cb84dfc-1cc9-445e-8dcc-de5641393ac0", "image_1": "Perception/single/4cb84dfc-1cc9-445e-8dcc-de5641393ac0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "faff42a4-3b5d-439c-897f-f2fd05b6499c", "image_1": "Perception/single/faff42a4-3b5d-439c-897f-f2fd05b6499c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1acc5731-4df9-44ca-b87e-264c2b157d9a", "image_1": "Perception/single/1acc5731-4df9-44ca-b87e-264c2b157d9a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c30cbd87-52ff-41fd-aa5b-25bab55946d1", "image_1": "Perception/single/c30cbd87-52ff-41fd-aa5b-25bab55946d1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0484b590-0061-44c4-b4fc-30dab8f7c811", "image_1": "Perception/single/0484b590-0061-44c4-b4fc-30dab8f7c811_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "42ef5573-f43b-4f49-9c5b-2215f261fb8c", "image_1": "Perception/single/42ef5573-f43b-4f49-9c5b-2215f261fb8c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "6730064b-d768-40b4-af3c-2523460a8b84", "image_1": "Perception/single/6730064b-d768-40b4-af3c-2523460a8b84_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "626437d6-57b2-4476-8fdd-afb4d1ced163", "image_1": "Perception/single/626437d6-57b2-4476-8fdd-afb4d1ced163_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e9deeba9-de9c-4b5a-90c1-fc25aad9e888", "image_1": "Perception/single/e9deeba9-de9c-4b5a-90c1-fc25aad9e888_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "800d4f43-530f-47c4-a6b3-6d3da016e5fd", "image_1": "Perception/single/800d4f43-530f-47c4-a6b3-6d3da016e5fd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e5126b0d-7af5-4985-8846-5af7e58fc10e", "image_1": "Perception/single/e5126b0d-7af5-4985-8846-5af7e58fc10e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "43f4ea56-23c4-4c61-8bf7-036f8ca36777", "image_1": "Perception/single/43f4ea56-23c4-4c61-8bf7-036f8ca36777_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e29275c1-ce64-4a9f-9825-408474cf36a4", "image_1": "Perception/single/e29275c1-ce64-4a9f-9825-408474cf36a4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "641f95fa-1bf5-42f2-91ef-27ee4d9b29a9", "image_1": "Perception/single/641f95fa-1bf5-42f2-91ef-27ee4d9b29a9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "8a786e06-8930-4eb0-8721-5e1218de4062", "image_1": "Perception/single/8a786e06-8930-4eb0-8721-5e1218de4062_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "27f0e0fb-c8f3-419b-bd9f-2e23f20cb699", "image_1": "Perception/single/27f0e0fb-c8f3-419b-bd9f-2e23f20cb699_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "b4dbd297-974c-4105-b9e7-bce682d5afbf", "image_1": "Perception/single/b4dbd297-974c-4105-b9e7-bce682d5afbf_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8d97e298-32a1-43fc-a5d3-c3db7bc09c46", "image_1": "Perception/single/8d97e298-32a1-43fc-a5d3-c3db7bc09c46_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2e153c1c-dd14-4c2c-b8df-6470fe3bc511", "image_1": "Perception/single/2e153c1c-dd14-4c2c-b8df-6470fe3bc511_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3b13257b-646f-4c92-99e0-cd86332b54bc", "image_1": "Perception/single/3b13257b-646f-4c92-99e0-cd86332b54bc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d3b9bc38-a183-4574-9a39-0feaf3276856", "image_1": "Perception/single/d3b9bc38-a183-4574-9a39-0feaf3276856_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5f035822-8554-4577-aab5-74675c6f3c87", "image_1": "Perception/single/5f035822-8554-4577-aab5-74675c6f3c87_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e91aadfc-e990-471a-a251-5f511905bc19", "image_1": "Perception/single/e91aadfc-e990-471a-a251-5f511905bc19_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0b3b87ea-7541-409a-a0c2-5f4a44fcfe38", "image_1": "Perception/single/0b3b87ea-7541-409a-a0c2-5f4a44fcfe38_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "fceeb4ee-9a5c-4958-a289-370f56f91a3d", "image_1": "Perception/single/fceeb4ee-9a5c-4958-a289-370f56f91a3d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2dcb4bda-49d5-49a0-8c1a-25c15f121c1a", "image_1": "Perception/single/2dcb4bda-49d5-49a0-8c1a-25c15f121c1a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9f657b3c-d59b-4b72-9319-8c307db93cf8", "image_1": "Perception/single/9f657b3c-d59b-4b72-9319-8c307db93cf8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1191c8fc-9a99-4db6-b1ac-fbce012d3ab6", "image_1": "Perception/single/1191c8fc-9a99-4db6-b1ac-fbce012d3ab6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "876b0c57-d200-41ed-8da9-df1248e0e6c9", "image_1": "Perception/single/876b0c57-d200-41ed-8da9-df1248e0e6c9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "86fab84a-b41d-46ab-bdb6-2f0ed7ec58cd", "image_1": "Perception/single/86fab84a-b41d-46ab-bdb6-2f0ed7ec58cd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7f4b3efd-8b97-425f-b3ab-a2d30600935b", "image_1": "Perception/single/7f4b3efd-8b97-425f-b3ab-a2d30600935b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "843eb002-3e1d-4ccd-981b-3714a52bcb71", "image_1": "Perception/single/843eb002-3e1d-4ccd-981b-3714a52bcb71_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "4a064bdd-c3fb-4eb8-99d3-f295fdbd2c86", "image_1": "Perception/single/4a064bdd-c3fb-4eb8-99d3-f295fdbd2c86_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "6dbb8f79-84bc-41d5-ba44-cd3bcb92c74d", "image_1": "Perception/single/6dbb8f79-84bc-41d5-ba44-cd3bcb92c74d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0dfef417-ebd3-43ac-a90a-6ac287ae568a", "image_1": "Perception/single/0dfef417-ebd3-43ac-a90a-6ac287ae568a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c41060e1-460e-49a8-a5fc-47821ad0e99b", "image_1": "Perception/single/c41060e1-460e-49a8-a5fc-47821ad0e99b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "587b3c17-2917-4a7b-8a71-403f4069c21c", "image_1": "Perception/single/587b3c17-2917-4a7b-8a71-403f4069c21c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a131ad69-fd78-4a96-b80b-f01108d24fb8", "image_1": "Perception/single/a131ad69-fd78-4a96-b80b-f01108d24fb8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e024293a-59fe-48f2-b850-7df562d2f44c", "image_1": "Perception/single/e024293a-59fe-48f2-b850-7df562d2f44c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c3c40df0-e066-4d1f-b735-5d59c3454bdf", "image_1": "Perception/single/c3c40df0-e066-4d1f-b735-5d59c3454bdf_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5f68d80c-792d-40cd-ba77-09d37f76daba", "image_1": "Perception/single/5f68d80c-792d-40cd-ba77-09d37f76daba_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "90e6b1cb-4d3a-4254-850e-04851dd6a94a", "image_1": "Perception/single/90e6b1cb-4d3a-4254-850e-04851dd6a94a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "bd2bbd45-c408-47dc-944d-d482ab3628ac", "image_1": "Perception/single/bd2bbd45-c408-47dc-944d-d482ab3628ac_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "a2af7d65-829d-432e-b644-b2982faeacf5", "image_1": "Perception/single/a2af7d65-829d-432e-b644-b2982faeacf5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c11b2d53-92a1-42ec-9a63-b06b3652763c", "image_1": "Perception/single/c11b2d53-92a1-42ec-9a63-b06b3652763c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "00c9232a-9479-40bd-b481-1b7810e4150a", "image_1": "Perception/single/00c9232a-9479-40bd-b481-1b7810e4150a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "781b3ab8-2e91-401f-9b8c-493f42a34ce2", "image_1": "Perception/single/781b3ab8-2e91-401f-9b8c-493f42a34ce2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "4756b095-dc7e-4172-8d7b-2f880cd0ec15", "image_1": "Perception/single/4756b095-dc7e-4172-8d7b-2f880cd0ec15_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "dba8364e-1fa2-4837-a508-006e35de20b7", "image_1": "Perception/single/dba8364e-1fa2-4837-a508-006e35de20b7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "98197385-5559-4c35-bd73-f45e8067e8de", "image_1": "Perception/single/98197385-5559-4c35-bd73-f45e8067e8de_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "75ceb351-a5ff-4d9c-ac2c-8a6c0491962c", "image_1": "Perception/single/75ceb351-a5ff-4d9c-ac2c-8a6c0491962c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "cc454b76-3e92-4bd4-b1a1-bfe4cad01833", "image_1": "Perception/single/cc454b76-3e92-4bd4-b1a1-bfe4cad01833_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "4d574770-d075-4958-9b2f-9e74677bab56", "image_1": "Perception/single/4d574770-d075-4958-9b2f-9e74677bab56_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a975a1c6-7806-4928-9703-c48e7638777f", "image_1": "Perception/single/a975a1c6-7806-4928-9703-c48e7638777f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "875fa615-883c-44e2-ba4b-534fca1d0f52", "image_1": "Perception/single/875fa615-883c-44e2-ba4b-534fca1d0f52_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0c38da1b-a490-4fa4-b8e3-dd49566b219f", "image_1": "Perception/single/0c38da1b-a490-4fa4-b8e3-dd49566b219f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "cd0beb78-dd07-400d-9a8a-29f0b64f6f18", "image_1": "Perception/single/cd0beb78-dd07-400d-9a8a-29f0b64f6f18_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f3af80f2-6bd1-4697-abd2-80a067360c9a", "image_1": "Perception/single/f3af80f2-6bd1-4697-abd2-80a067360c9a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e4189926-933e-4365-884c-93b8df93907c", "image_1": "Perception/single/e4189926-933e-4365-884c-93b8df93907c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "82d94606-755d-4c4d-a9c7-647bccfd3489", "image_1": "Perception/single/82d94606-755d-4c4d-a9c7-647bccfd3489_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e8081a02-de9d-440d-8cd6-dbcbed959d39", "image_1": "Perception/single/e8081a02-de9d-440d-8cd6-dbcbed959d39_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d0fbe26c-8a91-40c2-b7d1-2f54438b9cc6", "image_1": "Perception/single/d0fbe26c-8a91-40c2-b7d1-2f54438b9cc6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d08895ea-638b-4541-be8a-e3715fedee88", "image_1": "Perception/single/d08895ea-638b-4541-be8a-e3715fedee88_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ff71deed-12bc-4474-a900-a8c659ad07f8", "image_1": "Perception/single/ff71deed-12bc-4474-a900-a8c659ad07f8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3ff17ae0-06e5-44bc-8e55-44c90e420c73", "image_1": "Perception/single/3ff17ae0-06e5-44bc-8e55-44c90e420c73_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5b4af3d4-ca1e-4ae6-89ff-bc77be735275", "image_1": "Perception/single/5b4af3d4-ca1e-4ae6-89ff-bc77be735275_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "df585853-4739-401e-ba70-5cc2e7d28930", "image_1": "Perception/single/df585853-4739-401e-ba70-5cc2e7d28930_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "30117b03-6bc0-4575-badc-b05f5ccb1983", "image_1": "Perception/single/30117b03-6bc0-4575-badc-b05f5ccb1983_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5fd5bc11-2430-484a-8781-5f1487355654", "image_1": "Perception/single/5fd5bc11-2430-484a-8781-5f1487355654_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "b3a42d4b-6838-43ac-9cb9-df43d2bfb0f0", "image_1": "Perception/single/b3a42d4b-6838-43ac-9cb9-df43d2bfb0f0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "6ffffe9e-7cb9-4906-8f9c-e5d9400e5476", "image_1": "Perception/single/6ffffe9e-7cb9-4906-8f9c-e5d9400e5476_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "24667b31-ab4e-4d61-be69-5a1387f254a9", "image_1": "Perception/single/24667b31-ab4e-4d61-be69-5a1387f254a9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "57cbdda6-ff71-4fba-8ca2-5d1673515fc3", "image_1": "Perception/single/57cbdda6-ff71-4fba-8ca2-5d1673515fc3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0bb1e0e4-462c-4986-ab11-350e551f985c", "image_1": "Perception/single/0bb1e0e4-462c-4986-ab11-350e551f985c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "83c595ce-41ea-4924-980f-c2b6e21f732a", "image_1": "Perception/single/83c595ce-41ea-4924-980f-c2b6e21f732a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "5afcfd83-16cf-4a11-848b-1ce8cade679c", "image_1": "Perception/single/5afcfd83-16cf-4a11-848b-1ce8cade679c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "716039be-06a0-42b6-a245-a08382440fb7", "image_1": "Perception/single/716039be-06a0-42b6-a245-a08382440fb7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7c6846d0-3a71-4c19-83ff-5e7331adf3e2", "image_1": "Perception/single/7c6846d0-3a71-4c19-83ff-5e7331adf3e2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "56dc499b-e40b-423d-9522-10192fd5df0b", "image_1": "Perception/single/56dc499b-e40b-423d-9522-10192fd5df0b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "062bf5b9-4bb0-4b45-a279-9e8cd7dfd85b", "image_1": "Perception/single/062bf5b9-4bb0-4b45-a279-9e8cd7dfd85b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "367dce7b-526b-421e-8c28-c95b38618991", "image_1": "Perception/single/367dce7b-526b-421e-8c28-c95b38618991_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "6b60eca7-22b2-48d9-91da-a85630f63808", "image_1": "Perception/single/6b60eca7-22b2-48d9-91da-a85630f63808_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "38453ff7-2d9a-40c2-a715-e34e1343121b", "image_1": "Perception/single/38453ff7-2d9a-40c2-a715-e34e1343121b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "ef5d019f-a8df-493e-97a8-ae62cd5b6d2d", "image_1": "Perception/single/ef5d019f-a8df-493e-97a8-ae62cd5b6d2d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7b3ccce6-bc64-432a-8681-b12b119270d3", "image_1": "Perception/single/7b3ccce6-bc64-432a-8681-b12b119270d3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "88162e59-b258-4b96-93f6-3e7255c64df5", "image_1": "Perception/single/88162e59-b258-4b96-93f6-3e7255c64df5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f8f35fd2-f768-4299-bf03-35790ce8ed5e", "image_1": "Perception/single/f8f35fd2-f768-4299-bf03-35790ce8ed5e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "cc98837f-e38d-4794-a5be-ba471d353e4b", "image_1": "Perception/single/cc98837f-e38d-4794-a5be-ba471d353e4b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "41a25b4c-276f-4855-a872-2cfef47c1773", "image_1": "Perception/single/41a25b4c-276f-4855-a872-2cfef47c1773_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "78ff04e5-e58e-4619-ad04-1eb03e4475d5", "image_1": "Perception/single/78ff04e5-e58e-4619-ad04-1eb03e4475d5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "fd020c5c-ce47-4c3c-939d-2831a91be3b1", "image_1": "Perception/single/fd020c5c-ce47-4c3c-939d-2831a91be3b1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "77955858-cb57-4c11-94ae-01ecc06964f2", "image_1": "Perception/single/77955858-cb57-4c11-94ae-01ecc06964f2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "47366479-d7ef-4b04-9ca7-b85ca247910b", "image_1": "Perception/single/47366479-d7ef-4b04-9ca7-b85ca247910b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "db58f3ca-7709-411e-9fad-a2aeba98a56b", "image_1": "Perception/single/db58f3ca-7709-411e-9fad-a2aeba98a56b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5ccc9803-215d-4ac4-a614-2f4e0df15c24", "image_1": "Perception/single/5ccc9803-215d-4ac4-a614-2f4e0df15c24_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "26396ea2-ec56-4412-a8a0-453b1b6d48f6", "image_1": "Perception/single/26396ea2-ec56-4412-a8a0-453b1b6d48f6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0af25dba-9c21-4181-b17e-1c4e282ab59e", "image_1": "Perception/single/0af25dba-9c21-4181-b17e-1c4e282ab59e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "52c726c6-9925-4086-b5bb-2baa292f07a6", "image_1": "Perception/single/52c726c6-9925-4086-b5bb-2baa292f07a6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5f85576c-aeb7-4bc4-98f8-0f38e18c6639", "image_1": "Perception/single/5f85576c-aeb7-4bc4-98f8-0f38e18c6639_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "4d60dd7c-68c2-4823-9604-467b61aad0c7", "image_1": "Perception/single/4d60dd7c-68c2-4823-9604-467b61aad0c7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3ca3784f-5d30-4d0a-866f-11044c5ec020", "image_1": "Perception/single/3ca3784f-5d30-4d0a-866f-11044c5ec020_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2993fadf-3736-4389-80be-3afedf9710b1", "image_1": "Perception/single/2993fadf-3736-4389-80be-3afedf9710b1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "d94485a1-347b-47fa-8569-0de658f03c41", "image_1": "Perception/single/d94485a1-347b-47fa-8569-0de658f03c41_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "9aa546c4-0504-4033-bab1-01b39b51f8a3", "image_1": "Perception/single/9aa546c4-0504-4033-bab1-01b39b51f8a3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "1de5e1f2-0cb7-4302-aa21-de827a4774dc", "image_1": "Perception/single/1de5e1f2-0cb7-4302-aa21-de827a4774dc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e2b79027-95fa-4b31-b0bd-770bb45097c9", "image_1": "Perception/single/e2b79027-95fa-4b31-b0bd-770bb45097c9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2131ac77-92bf-486d-8da7-8c0df88edf1f", "image_1": "Perception/single/2131ac77-92bf-486d-8da7-8c0df88edf1f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "e5bb771b-d75c-442d-84de-0ac9e65372ff", "image_1": "Perception/single/e5bb771b-d75c-442d-84de-0ac9e65372ff_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "de4aa0ff-61ac-4379-b88a-1bfa53a14de5", "image_1": "Perception/single/de4aa0ff-61ac-4379-b88a-1bfa53a14de5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "7a505cd7-0976-423f-a430-210498e309b3", "image_1": "Perception/single/7a505cd7-0976-423f-a430-210498e309b3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b5b1703d-b2f6-4696-8cf1-ad8e95eb1f13", "image_1": "Perception/single/b5b1703d-b2f6-4696-8cf1-ad8e95eb1f13_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "14479138-8f7c-4d5d-a441-b069d21f929d", "image_1": "Perception/single/14479138-8f7c-4d5d-a441-b069d21f929d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9f06c843-2c73-4dcf-89ee-f4583e669b83", "image_1": "Perception/single/9f06c843-2c73-4dcf-89ee-f4583e669b83_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "256c3622-6692-4f9e-81b3-4ff819e6c0d3", "image_1": "Perception/single/256c3622-6692-4f9e-81b3-4ff819e6c0d3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "41a35313-6854-4d02-8279-cbfc3289dcb4", "image_1": "Perception/single/41a35313-6854-4d02-8279-cbfc3289dcb4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ab3eeaba-221e-4815-ad23-98c1fc31b852", "image_1": "Perception/single/ab3eeaba-221e-4815-ad23-98c1fc31b852_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "1d4b54e5-66eb-4169-b0dd-443204769c30", "image_1": "Perception/single/1d4b54e5-66eb-4169-b0dd-443204769c30_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "8ed0f46a-e10b-44b8-b49c-9b547ac0730c", "image_1": "Perception/single/8ed0f46a-e10b-44b8-b49c-9b547ac0730c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0ec11975-cfde-4fd9-b0cd-8aa1ff5ab313", "image_1": "Perception/single/0ec11975-cfde-4fd9-b0cd-8aa1ff5ab313_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b54a78e1-5fd5-443e-a5da-26d207c65e7c", "image_1": "Perception/single/b54a78e1-5fd5-443e-a5da-26d207c65e7c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "24a8ae74-47f8-43bc-96fa-7d5536faaa09", "image_1": "Perception/single/24a8ae74-47f8-43bc-96fa-7d5536faaa09_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "d3bda858-bf55-4b2d-9012-1b904584446d", "image_1": "Perception/single/d3bda858-bf55-4b2d-9012-1b904584446d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e5a06e23-ac5b-4dae-af85-a89e9228e205", "image_1": "Perception/single/e5a06e23-ac5b-4dae-af85-a89e9228e205_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "aacf3246-b938-4ab9-b97a-35d6ecdf3d4f", "image_1": "Perception/single/aacf3246-b938-4ab9-b97a-35d6ecdf3d4f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "543dcac8-b743-41ea-b0e1-00747e403ffe", "image_1": "Perception/single/543dcac8-b743-41ea-b0e1-00747e403ffe_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7390be27-f1c3-4a47-b465-4fb545820f62", "image_1": "Perception/single/7390be27-f1c3-4a47-b465-4fb545820f62_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "8bc42e90-2bc4-4201-9ab6-5d2f5c1c2487", "image_1": "Perception/single/8bc42e90-2bc4-4201-9ab6-5d2f5c1c2487_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "8c6b0b63-00a1-487e-b4bb-dc763dce0c10", "image_1": "Perception/single/8c6b0b63-00a1-487e-b4bb-dc763dce0c10_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d43021da-f0a0-4eca-8b23-0fc4a585d12c", "image_1": "Perception/single/d43021da-f0a0-4eca-8b23-0fc4a585d12c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "aec7a157-92c5-4151-a2a7-0095d8c1e946", "image_1": "Perception/single/aec7a157-92c5-4151-a2a7-0095d8c1e946_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "99ed4e27-241d-4998-8d98-e5ae414e5e40", "image_1": "Perception/single/99ed4e27-241d-4998-8d98-e5ae414e5e40_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "8d32255e-ce42-4a22-9c06-d0d56c5fdec7", "image_1": "Perception/single/8d32255e-ce42-4a22-9c06-d0d56c5fdec7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "261514de-d47f-4a7e-b7f6-7dad5dd5d7c7", "image_1": "Perception/single/261514de-d47f-4a7e-b7f6-7dad5dd5d7c7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "45f1599a-8f35-4045-a3ed-f16045a5473f", "image_1": "Perception/single/45f1599a-8f35-4045-a3ed-f16045a5473f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d7f309b9-6193-4f0e-8a24-085c1c690d96", "image_1": "Perception/single/d7f309b9-6193-4f0e-8a24-085c1c690d96_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "46ea6abf-e086-4b7d-9dbb-1005779ab623", "image_1": "Perception/single/46ea6abf-e086-4b7d-9dbb-1005779ab623_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "9e097868-4ad2-4fea-97c6-002c077cce42", "image_1": "Perception/single/9e097868-4ad2-4fea-97c6-002c077cce42_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c739953f-0f27-41bc-a1fb-d06f6ea1eabb", "image_1": "Perception/single/c739953f-0f27-41bc-a1fb-d06f6ea1eabb_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0137621d-9455-4fbb-9e9b-e1341927684a", "image_1": "Perception/single/0137621d-9455-4fbb-9e9b-e1341927684a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e72b77b5-3cf1-4a14-958d-47e3c89cb2f8", "image_1": "Perception/single/e72b77b5-3cf1-4a14-958d-47e3c89cb2f8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "594282d5-7404-4e17-a28f-edb1055c5680", "image_1": "Perception/single/594282d5-7404-4e17-a28f-edb1055c5680_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "273cbf43-f8b4-4a23-8175-2018d08e3e14", "image_1": "Perception/single/273cbf43-f8b4-4a23-8175-2018d08e3e14_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f16a103f-ca62-4280-9276-1e5a26695f71", "image_1": "Perception/single/f16a103f-ca62-4280-9276-1e5a26695f71_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "6c7f6126-94be-4db7-a657-3229145707f5", "image_1": "Perception/single/6c7f6126-94be-4db7-a657-3229145707f5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "67ebf76f-8624-44a0-a0d9-e8a1da34521d", "image_1": "Perception/single/67ebf76f-8624-44a0-a0d9-e8a1da34521d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7bf040d3-57d7-4d6c-88ab-bc13dda9e252", "image_1": "Perception/single/7bf040d3-57d7-4d6c-88ab-bc13dda9e252_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "239d6bf3-829f-4281-a069-3f55dd382d22", "image_1": "Perception/single/239d6bf3-829f-4281-a069-3f55dd382d22_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "193437a5-3065-4c0e-865e-eb6dd6e5645d", "image_1": "Perception/single/193437a5-3065-4c0e-865e-eb6dd6e5645d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9d3f7e13-75b0-49fc-a2df-23a6294ec1af", "image_1": "Perception/single/9d3f7e13-75b0-49fc-a2df-23a6294ec1af_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "4dbf1299-c58b-4197-b6a5-6b3cc777be9e", "image_1": "Perception/single/4dbf1299-c58b-4197-b6a5-6b3cc777be9e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9c0773df-41e7-4a86-92c9-31eb7b11842b", "image_1": "Perception/single/9c0773df-41e7-4a86-92c9-31eb7b11842b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9293fbff-540b-40f5-b7dd-7eba1106e4be", "image_1": "Perception/single/9293fbff-540b-40f5-b7dd-7eba1106e4be_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "9f60b1c6-1869-460a-a493-5265aca3517d", "image_1": "Perception/single/9f60b1c6-1869-460a-a493-5265aca3517d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "8bae4f7d-9530-4291-8a33-27b84b9385c4", "image_1": "Perception/single/8bae4f7d-9530-4291-8a33-27b84b9385c4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2597b4ca-aac0-4e5a-b592-249a64f32da8", "image_1": "Perception/single/2597b4ca-aac0-4e5a-b592-249a64f32da8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "fd782a44-1476-4ba0-bc41-197d3242fa6a", "image_1": "Perception/single/fd782a44-1476-4ba0-bc41-197d3242fa6a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7d6084f3-f574-4537-9277-4bd4869913bc", "image_1": "Perception/single/7d6084f3-f574-4537-9277-4bd4869913bc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3d8f9e42-66a3-4194-ab15-8a7d990bc6e8", "image_1": "Perception/single/3d8f9e42-66a3-4194-ab15-8a7d990bc6e8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "bdaedacc-513a-4850-a59f-5cf6109c3db7", "image_1": "Perception/single/bdaedacc-513a-4850-a59f-5cf6109c3db7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "9ea3526b-f97d-4675-b06c-60d954a8abea", "image_1": "Perception/single/9ea3526b-f97d-4675-b06c-60d954a8abea_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ec7cf26d-0639-47ff-8a91-e1b192b4f585", "image_1": "Perception/single/ec7cf26d-0639-47ff-8a91-e1b192b4f585_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "478f2dec-5ba8-4bee-aec0-07e4ab8cfe69", "image_1": "Perception/single/478f2dec-5ba8-4bee-aec0-07e4ab8cfe69_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "e02369f0-d275-445a-a33f-f044fb8d5e34", "image_1": "Perception/single/e02369f0-d275-445a-a33f-f044fb8d5e34_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "94eb1497-e93a-442b-a159-7782f5d9dc2d", "image_1": "Perception/single/94eb1497-e93a-442b-a159-7782f5d9dc2d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "79d104f1-56bf-49c2-8631-93e0183ecaa5", "image_1": "Perception/single/79d104f1-56bf-49c2-8631-93e0183ecaa5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "535df9b7-28e8-4ba4-bf9f-39a0fbbdc1cf", "image_1": "Perception/single/535df9b7-28e8-4ba4-bf9f-39a0fbbdc1cf_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "002d450c-b953-4993-9475-41a11615d684", "image_1": "Perception/single/002d450c-b953-4993-9475-41a11615d684_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e10b5680-613a-40a2-8865-b1aa9eb2a998", "image_1": "Perception/single/e10b5680-613a-40a2-8865-b1aa9eb2a998_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c8915697-50e4-4222-8241-91178dde53a0", "image_1": "Perception/single/c8915697-50e4-4222-8241-91178dde53a0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "dc40b2bc-3dc3-4c68-9a92-a0f143815bc7", "image_1": "Perception/single/dc40b2bc-3dc3-4c68-9a92-a0f143815bc7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f8dd5b4a-1eb5-4859-a857-4155783e9fb0", "image_1": "Perception/single/f8dd5b4a-1eb5-4859-a857-4155783e9fb0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c529bfb0-3a9d-406b-8578-a01728858e20", "image_1": "Perception/single/c529bfb0-3a9d-406b-8578-a01728858e20_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "723f8556-250f-409a-bc6b-1f9ddc8201ab", "image_1": "Perception/single/723f8556-250f-409a-bc6b-1f9ddc8201ab_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "dd65d054-6b78-4806-a4e3-d9aa11569118", "image_1": "Perception/single/dd65d054-6b78-4806-a4e3-d9aa11569118_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8173f490-3452-4d5a-8972-380e81bfbad7", "image_1": "Perception/single/8173f490-3452-4d5a-8972-380e81bfbad7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1ce42e35-8e36-489a-8b00-a022d6c6fb2c", "image_1": "Perception/single/1ce42e35-8e36-489a-8b00-a022d6c6fb2c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "be19e610-6ff1-42e5-8cf3-34c480751733", "image_1": "Perception/single/be19e610-6ff1-42e5-8cf3-34c480751733_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "06cf6e81-f412-4d6a-a22e-2fb82b6c1f76", "image_1": "Perception/single/06cf6e81-f412-4d6a-a22e-2fb82b6c1f76_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c4157712-c668-4138-964f-903cdd46cb5f", "image_1": "Perception/single/c4157712-c668-4138-964f-903cdd46cb5f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c1d03dc2-7db2-45cd-8294-4e5974a82c8f", "image_1": "Perception/single/c1d03dc2-7db2-45cd-8294-4e5974a82c8f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0f4f862a-f8c5-4687-80f0-66ca48286c66", "image_1": "Perception/single/0f4f862a-f8c5-4687-80f0-66ca48286c66_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "fb1a8f8f-94e2-4e14-9de6-86b0427f1152", "image_1": "Perception/single/fb1a8f8f-94e2-4e14-9de6-86b0427f1152_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "23c0d772-5935-4673-be27-392fae6bcd7a", "image_1": "Perception/single/23c0d772-5935-4673-be27-392fae6bcd7a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "62ff4573-8763-47af-8152-022c4aa2d999", "image_1": "Perception/single/62ff4573-8763-47af-8152-022c4aa2d999_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7f0094bf-6409-4f89-9867-0f67c3d56fa0", "image_1": "Perception/single/7f0094bf-6409-4f89-9867-0f67c3d56fa0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2d53b95b-6f1b-4e0f-b339-8e790294f867", "image_1": "Perception/single/2d53b95b-6f1b-4e0f-b339-8e790294f867_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "58f24ff0-4e27-4542-9196-f2bd4a766e45", "image_1": "Perception/single/58f24ff0-4e27-4542-9196-f2bd4a766e45_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "2d38e405-44df-4b11-8be7-ef73379b2fc0", "image_1": "Perception/single/2d38e405-44df-4b11-8be7-ef73379b2fc0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "54272ac9-ce90-4836-a892-10f31e62cfeb", "image_1": "Perception/single/54272ac9-ce90-4836-a892-10f31e62cfeb_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "fc37c4eb-0413-41bc-a970-78d399d2bab1", "image_1": "Perception/single/fc37c4eb-0413-41bc-a970-78d399d2bab1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "6536361e-63b1-4ed5-bcf7-ab13f880412e", "image_1": "Perception/single/6536361e-63b1-4ed5-bcf7-ab13f880412e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "05d76418-52cf-4e08-a69f-b71bca73d9d7", "image_1": "Perception/single/05d76418-52cf-4e08-a69f-b71bca73d9d7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "9e7103b9-c33e-4593-9358-11843c92b0ce", "image_1": "Perception/single/9e7103b9-c33e-4593-9358-11843c92b0ce_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "67f35de0-752e-49da-b8cb-5f4ef3870c02", "image_1": "Perception/single/67f35de0-752e-49da-b8cb-5f4ef3870c02_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "31a1771d-bc9a-4f61-bde6-3e094549c975", "image_1": "Perception/single/31a1771d-bc9a-4f61-bde6-3e094549c975_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "26167a9b-040d-4c6b-a212-0412a7cb3c11", "image_1": "Perception/single/26167a9b-040d-4c6b-a212-0412a7cb3c11_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "da63efd6-79f6-4e54-a6ee-edd896a70ae9", "image_1": "Perception/single/da63efd6-79f6-4e54-a6ee-edd896a70ae9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "75fdf640-c6c9-4b92-a312-c1eb4ab82c94", "image_1": "Perception/single/75fdf640-c6c9-4b92-a312-c1eb4ab82c94_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "badc1598-7603-4888-8e6f-900b7768d89a", "image_1": "Perception/single/badc1598-7603-4888-8e6f-900b7768d89a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "9a30be97-e3dd-4260-971a-bb334f5264b3", "image_1": "Perception/single/9a30be97-e3dd-4260-971a-bb334f5264b3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "58149325-4c6c-4236-bef5-bd1bf1df63cd", "image_1": "Perception/single/58149325-4c6c-4236-bef5-bd1bf1df63cd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "33258196-11bd-4768-852b-fb1981eaffac", "image_1": "Perception/single/33258196-11bd-4768-852b-fb1981eaffac_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "fda5a2da-8c41-4780-9178-0dd2a2322f94", "image_1": "Perception/single/fda5a2da-8c41-4780-9178-0dd2a2322f94_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ffe7b696-bbbd-468f-bd83-a830c7f60210", "image_1": "Perception/single/ffe7b696-bbbd-468f-bd83-a830c7f60210_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "1248b372-4d9f-4953-958b-abf1e2588ec8", "image_1": "Perception/single/1248b372-4d9f-4953-958b-abf1e2588ec8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ba490ab4-fff3-4815-92d0-fa82e97beb97", "image_1": "Perception/single/ba490ab4-fff3-4815-92d0-fa82e97beb97_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "cc64177f-ba04-45c2-8b9d-21155f1195e3", "image_1": "Perception/single/cc64177f-ba04-45c2-8b9d-21155f1195e3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "4c3e1bc5-8363-4d6b-8aa3-55218e66727c", "image_1": "Perception/single/4c3e1bc5-8363-4d6b-8aa3-55218e66727c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1293b239-b679-4d3d-925e-6ad8ab6440b0", "image_1": "Perception/single/1293b239-b679-4d3d-925e-6ad8ab6440b0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "07332b6b-86cd-4d6d-adfc-f0d334957883", "image_1": "Perception/single/07332b6b-86cd-4d6d-adfc-f0d334957883_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3354705e-246c-40d0-aad6-b23cad23db43", "image_1": "Perception/single/3354705e-246c-40d0-aad6-b23cad23db43_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "8d3b33d2-5111-4a02-a979-83d224ef084f", "image_1": "Perception/single/8d3b33d2-5111-4a02-a979-83d224ef084f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "38faa8fb-76bf-40f6-bb6a-7736abfec977", "image_1": "Perception/single/38faa8fb-76bf-40f6-bb6a-7736abfec977_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0078697b-cb1c-497f-90b6-f4ff17c6985c", "image_1": "Perception/single/0078697b-cb1c-497f-90b6-f4ff17c6985c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c2b52d8e-441c-4b29-a5fe-d0e28b227568", "image_1": "Perception/single/c2b52d8e-441c-4b29-a5fe-d0e28b227568_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "54f2927a-1c82-4f53-b38a-610c0aa29f3d", "image_1": "Perception/single/54f2927a-1c82-4f53-b38a-610c0aa29f3d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "da1d2c27-0204-4366-8bcf-86fd851d6f93", "image_1": "Perception/single/da1d2c27-0204-4366-8bcf-86fd851d6f93_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3767148c-3524-4b5f-8dec-7f1c9d69e915", "image_1": "Perception/single/3767148c-3524-4b5f-8dec-7f1c9d69e915_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e3cb3c03-842b-4aa5-af7e-7aa6fe5f3f94", "image_1": "Perception/single/e3cb3c03-842b-4aa5-af7e-7aa6fe5f3f94_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "32e1e795-b2f6-43ad-9dad-350cb77b122d", "image_1": "Perception/single/32e1e795-b2f6-43ad-9dad-350cb77b122d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "5e1caeb5-0ced-40bc-9807-bb60bcd40902", "image_1": "Perception/single/5e1caeb5-0ced-40bc-9807-bb60bcd40902_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "af92bbd0-9d30-4f6f-a7cc-7f7dd0b0a1c0", "image_1": "Perception/single/af92bbd0-9d30-4f6f-a7cc-7f7dd0b0a1c0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ffb6e5c4-3e3d-4c16-9363-5ebf6e23e7e9", "image_1": "Perception/single/ffb6e5c4-3e3d-4c16-9363-5ebf6e23e7e9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "dccdc606-88dd-4093-91c9-1631245028cb", "image_1": "Perception/single/dccdc606-88dd-4093-91c9-1631245028cb_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "70f98d11-d953-454b-a128-17784fb9fb02", "image_1": "Perception/single/70f98d11-d953-454b-a128-17784fb9fb02_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8d9c49db-6dad-4d09-b2e7-33ef74750bd1", "image_1": "Perception/single/8d9c49db-6dad-4d09-b2e7-33ef74750bd1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "fe824bae-2f05-4b3e-a850-174b7f39ad53", "image_1": "Perception/single/fe824bae-2f05-4b3e-a850-174b7f39ad53_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "88ef3908-32f0-45f7-becf-cdfcf0bf1a9b", "image_1": "Perception/single/88ef3908-32f0-45f7-becf-cdfcf0bf1a9b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "938c887a-2d93-4345-a428-9c86c593b8ac", "image_1": "Perception/single/938c887a-2d93-4345-a428-9c86c593b8ac_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "58f9da09-931e-4fc1-a163-6d2f96c45ec9", "image_1": "Perception/single/58f9da09-931e-4fc1-a163-6d2f96c45ec9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "dad5594b-8e7b-4af3-a31b-2b36ed2acda9", "image_1": "Perception/single/dad5594b-8e7b-4af3-a31b-2b36ed2acda9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "058b58a7-6b0c-4ccd-8458-25c5e294152e", "image_1": "Perception/single/058b58a7-6b0c-4ccd-8458-25c5e294152e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c949a8fc-d3fc-4231-8426-8e68eaf05154", "image_1": "Perception/single/c949a8fc-d3fc-4231-8426-8e68eaf05154_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ded86735-2522-4244-8135-efff9827aca3", "image_1": "Perception/single/ded86735-2522-4244-8135-efff9827aca3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e53bc07f-e5eb-49a9-8bd2-fb7fc475a6ff", "image_1": "Perception/single/e53bc07f-e5eb-49a9-8bd2-fb7fc475a6ff_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e58f9239-d684-4bf9-aca7-6bf5e683fcea", "image_1": "Perception/single/e58f9239-d684-4bf9-aca7-6bf5e683fcea_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d694eb65-56be-47a9-a73b-604d29412c8e", "image_1": "Perception/single/d694eb65-56be-47a9-a73b-604d29412c8e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "a733aa3d-e74a-41bf-a123-55e9aedf21cc", "image_1": "Perception/single/a733aa3d-e74a-41bf-a123-55e9aedf21cc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7f8b5eb5-675f-45e5-8b27-155f130e081e", "image_1": "Perception/single/7f8b5eb5-675f-45e5-8b27-155f130e081e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1158d4ca-828b-4e24-8b67-d75bcdcf6e5c", "image_1": "Perception/single/1158d4ca-828b-4e24-8b67-d75bcdcf6e5c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "cbc49cc2-d2de-448e-9f4d-215cf3442f48", "image_1": "Perception/single/cbc49cc2-d2de-448e-9f4d-215cf3442f48_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "75ac2759-f2ca-4065-92ee-17fea65ee457", "image_1": "Perception/single/75ac2759-f2ca-4065-92ee-17fea65ee457_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1a1c227e-1d60-40a5-8f8d-c9f35aa4b0db", "image_1": "Perception/single/1a1c227e-1d60-40a5-8f8d-c9f35aa4b0db_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "b8a5d9d6-f645-4491-9dbe-ce6e10ff6dc1", "image_1": "Perception/single/b8a5d9d6-f645-4491-9dbe-ce6e10ff6dc1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "4b1ee377-cd2e-4246-b7ef-b713799af263", "image_1": "Perception/single/4b1ee377-cd2e-4246-b7ef-b713799af263_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "b9e7b8bb-6361-43b1-9029-b373e34ae5b0", "image_1": "Perception/single/b9e7b8bb-6361-43b1-9029-b373e34ae5b0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "6f0dee25-6567-420e-a66e-fb2b0fdb9d5a", "image_1": "Perception/single/6f0dee25-6567-420e-a66e-fb2b0fdb9d5a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "8e218ce5-5d3b-4aec-b37e-d26f3f366dfc", "image_1": "Perception/single/8e218ce5-5d3b-4aec-b37e-d26f3f366dfc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "bf3f2e72-d3c7-47c4-b529-7aa947f52330", "image_1": "Perception/single/bf3f2e72-d3c7-47c4-b529-7aa947f52330_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "02be67fb-1186-4b27-8aa7-5e78f7f1aff3", "image_1": "Perception/single/02be67fb-1186-4b27-8aa7-5e78f7f1aff3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "505dc6ff-a7e2-4a6f-b38e-ad60d2c6df81", "image_1": "Perception/single/505dc6ff-a7e2-4a6f-b38e-ad60d2c6df81_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "82afdd63-962b-4b54-9cdd-89c06603ec62", "image_1": "Perception/single/82afdd63-962b-4b54-9cdd-89c06603ec62_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "eb44873b-caa4-4a84-86db-e11f3c6a7ba9", "image_1": "Perception/single/eb44873b-caa4-4a84-86db-e11f3c6a7ba9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "4ae5061c-e11c-4034-b3fa-ddbfc69f1a82", "image_1": "Perception/single/4ae5061c-e11c-4034-b3fa-ddbfc69f1a82_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e4a2110e-7e1a-434f-bc2a-4dc55076b0ca", "image_1": "Perception/single/e4a2110e-7e1a-434f-bc2a-4dc55076b0ca_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2d180dc0-7822-42f1-a2dc-81c99b5fe88e", "image_1": "Perception/single/2d180dc0-7822-42f1-a2dc-81c99b5fe88e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8421b0b8-f0e8-4317-b929-632ec1b92aed", "image_1": "Perception/single/8421b0b8-f0e8-4317-b929-632ec1b92aed_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "8b9221ae-564b-428a-9e3d-005e495ead57", "image_1": "Perception/single/8b9221ae-564b-428a-9e3d-005e495ead57_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c8c91057-5d45-4218-abba-fe1083af36aa", "image_1": "Perception/single/c8c91057-5d45-4218-abba-fe1083af36aa_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3b09c313-6080-4109-8d98-a15ec708b3dc", "image_1": "Perception/single/3b09c313-6080-4109-8d98-a15ec708b3dc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a815ab2f-5c1a-414f-88ce-36ffafdf3efe", "image_1": "Perception/single/a815ab2f-5c1a-414f-88ce-36ffafdf3efe_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9fc3b19d-2238-4e4f-8d72-c3a05415ba51", "image_1": "Perception/single/9fc3b19d-2238-4e4f-8d72-c3a05415ba51_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "04cccb19-8286-44da-996a-ad00a8398c4d", "image_1": "Perception/single/04cccb19-8286-44da-996a-ad00a8398c4d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "9a195eee-194c-4b18-bffb-ddb53eb19ae1", "image_1": "Perception/single/9a195eee-194c-4b18-bffb-ddb53eb19ae1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "9e1636de-f210-427f-8a29-346bb8b0bb20", "image_1": "Perception/single/9e1636de-f210-427f-8a29-346bb8b0bb20_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "bf23336b-f425-4642-b786-c7c60795c4e4", "image_1": "Perception/single/bf23336b-f425-4642-b786-c7c60795c4e4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "57f0914b-8494-4f2e-9225-d77fefa92681", "image_1": "Perception/single/57f0914b-8494-4f2e-9225-d77fefa92681_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "2e51126b-c9e1-435c-9c34-9628c9b204bf", "image_1": "Perception/single/2e51126b-c9e1-435c-9c34-9628c9b204bf_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a568a11a-64c4-4dd8-869f-a8fb62093584", "image_1": "Perception/single/a568a11a-64c4-4dd8-869f-a8fb62093584_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ff047028-9fec-4ca0-b349-5b92b78e279c", "image_1": "Perception/single/ff047028-9fec-4ca0-b349-5b92b78e279c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "67062b57-0d4e-47bf-9c6c-c118e7824cb2", "image_1": "Perception/single/67062b57-0d4e-47bf-9c6c-c118e7824cb2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ad0178bb-3834-4eda-8778-ae97475f9d44", "image_1": "Perception/single/ad0178bb-3834-4eda-8778-ae97475f9d44_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "76a63542-140b-4e29-897b-fc8421d0b1b7", "image_1": "Perception/single/76a63542-140b-4e29-897b-fc8421d0b1b7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "8526a88e-ade1-46be-b7d2-20a1507440c1", "image_1": "Perception/single/8526a88e-ade1-46be-b7d2-20a1507440c1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "2f8cfd9d-1d25-48ad-9e02-1c8662a29128", "image_1": "Perception/single/2f8cfd9d-1d25-48ad-9e02-1c8662a29128_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "6392cea4-ce03-46b6-9ef3-a28c0c1390dc", "image_1": "Perception/single/6392cea4-ce03-46b6-9ef3-a28c0c1390dc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3da4c05b-8325-4503-8d62-4f54c151f3a2", "image_1": "Perception/single/3da4c05b-8325-4503-8d62-4f54c151f3a2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ae32635f-fd87-437f-97f6-6c1542d9d583", "image_1": "Perception/single/ae32635f-fd87-437f-97f6-6c1542d9d583_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "060635ce-1b48-4d9b-a2ca-be6ecf4d41bb", "image_1": "Perception/single/060635ce-1b48-4d9b-a2ca-be6ecf4d41bb_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "ea5e18f5-ef80-42ea-a785-c0acfd46054c", "image_1": "Perception/single/ea5e18f5-ef80-42ea-a785-c0acfd46054c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a50860c7-235d-46c2-ac7c-b0cd379382d2", "image_1": "Perception/single/a50860c7-235d-46c2-ac7c-b0cd379382d2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e5ab149e-787b-4926-a7f3-760e01fd01cb", "image_1": "Perception/single/e5ab149e-787b-4926-a7f3-760e01fd01cb_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b9870be2-c8b1-4519-9d59-5ed7846e7738", "image_1": "Perception/single/b9870be2-c8b1-4519-9d59-5ed7846e7738_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "f96f3a52-ed2e-4690-9c98-03e0fb1af8c8", "image_1": "Perception/single/f96f3a52-ed2e-4690-9c98-03e0fb1af8c8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f9012f98-712d-4b27-852f-b3be5adb4477", "image_1": "Perception/single/f9012f98-712d-4b27-852f-b3be5adb4477_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "33ca3dfc-ef75-452d-97d5-f7357c0c6b81", "image_1": "Perception/single/33ca3dfc-ef75-452d-97d5-f7357c0c6b81_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "e9db0b1c-a4cc-438e-ac64-344c3477cb5a", "image_1": "Perception/single/e9db0b1c-a4cc-438e-ac64-344c3477cb5a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "150111fb-e8ec-4b7e-81ac-fca0b09b8eba", "image_1": "Perception/single/150111fb-e8ec-4b7e-81ac-fca0b09b8eba_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "bb583185-f57c-486e-bfa3-0c058cb035f8", "image_1": "Perception/single/bb583185-f57c-486e-bfa3-0c058cb035f8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d85b266d-0282-470f-8b59-57898c96f89e", "image_1": "Perception/single/d85b266d-0282-470f-8b59-57898c96f89e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c84b36e6-5039-4684-979a-46bd4beb4805", "image_1": "Perception/single/c84b36e6-5039-4684-979a-46bd4beb4805_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "069b9f39-5cb1-4796-b5c7-6a04bfaada33", "image_1": "Perception/single/069b9f39-5cb1-4796-b5c7-6a04bfaada33_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a865fcc2-7036-4903-97a2-212aef3dea56", "image_1": "Perception/single/a865fcc2-7036-4903-97a2-212aef3dea56_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "eb6ee2fa-1ba9-4f49-ac46-a2c6f0772cb2", "image_1": "Perception/single/eb6ee2fa-1ba9-4f49-ac46-a2c6f0772cb2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d5b97863-bce1-4db8-b65a-b259a735900d", "image_1": "Perception/single/d5b97863-bce1-4db8-b65a-b259a735900d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5eb2d966-0439-48c1-aff7-406565736e48", "image_1": "Perception/single/5eb2d966-0439-48c1-aff7-406565736e48_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3d6addb3-ea5c-4363-9741-1277e7457638", "image_1": "Perception/single/3d6addb3-ea5c-4363-9741-1277e7457638_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "49d1bfdd-3357-4b41-8eb0-e5697d998bf7", "image_1": "Perception/single/49d1bfdd-3357-4b41-8eb0-e5697d998bf7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "ed146a78-a649-45b4-a059-325f27210f07", "image_1": "Perception/single/ed146a78-a649-45b4-a059-325f27210f07_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8c2596e5-3da3-4c26-b085-7ee0e9cc7ab8", "image_1": "Perception/single/8c2596e5-3da3-4c26-b085-7ee0e9cc7ab8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "4f80c404-cf7c-4248-9ed1-49cf1c6279bf", "image_1": "Perception/single/4f80c404-cf7c-4248-9ed1-49cf1c6279bf_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "fc4ba4a6-2c8b-4a6a-9db0-53d012485a2e", "image_1": "Perception/single/fc4ba4a6-2c8b-4a6a-9db0-53d012485a2e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "720baa18-7daf-439d-807c-3db97d948651", "image_1": "Perception/single/720baa18-7daf-439d-807c-3db97d948651_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "bdce7c65-4e20-4ab4-b0c0-64ce299117cc", "image_1": "Perception/single/bdce7c65-4e20-4ab4-b0c0-64ce299117cc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a4fbfc72-7a25-4333-950f-646585fc7f09", "image_1": "Perception/single/a4fbfc72-7a25-4333-950f-646585fc7f09_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "bd3b6fe3-2bd9-4b7a-8767-243fe248364d", "image_1": "Perception/single/bd3b6fe3-2bd9-4b7a-8767-243fe248364d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "599efd89-e6dc-4614-a35f-c30d788711e1", "image_1": "Perception/single/599efd89-e6dc-4614-a35f-c30d788711e1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "770aff65-f1ca-452f-8f72-4028ce8c4b4e", "image_1": "Perception/single/770aff65-f1ca-452f-8f72-4028ce8c4b4e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d101f451-7b21-4e7d-a126-40a4872077dc", "image_1": "Perception/single/d101f451-7b21-4e7d-a126-40a4872077dc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "b1b4a731-fcc9-48ee-99ef-75412beff8a3", "image_1": "Perception/single/b1b4a731-fcc9-48ee-99ef-75412beff8a3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "4a026c6c-2dec-4326-a316-735cdbba88ea", "image_1": "Perception/single/4a026c6c-2dec-4326-a316-735cdbba88ea_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "389e44b4-243a-4896-bac2-843d3764ee50", "image_1": "Perception/single/389e44b4-243a-4896-bac2-843d3764ee50_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "02f566d1-466a-42b1-a262-7577531776d0", "image_1": "Perception/single/02f566d1-466a-42b1-a262-7577531776d0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ea595b80-a51f-40d1-ab1e-9af9bb380f5c", "image_1": "Perception/single/ea595b80-a51f-40d1-ab1e-9af9bb380f5c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "bd171723-74e8-4f85-ba6a-407ece6702d4", "image_1": "Perception/single/bd171723-74e8-4f85-ba6a-407ece6702d4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3423eac4-8a43-47cd-b24f-b81d75eac811", "image_1": "Perception/single/3423eac4-8a43-47cd-b24f-b81d75eac811_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "50ee3770-4d96-4f0a-8eca-6ede6a88a114", "image_1": "Perception/single/50ee3770-4d96-4f0a-8eca-6ede6a88a114_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "dd5ae184-7bc9-4488-a18b-e746d44c53f7", "image_1": "Perception/single/dd5ae184-7bc9-4488-a18b-e746d44c53f7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "927ad2a9-4cf3-4c57-b12c-c84555b9d669", "image_1": "Perception/single/927ad2a9-4cf3-4c57-b12c-c84555b9d669_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "16b04e75-af4e-41b5-92af-eae9580507b1", "image_1": "Perception/single/16b04e75-af4e-41b5-92af-eae9580507b1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f51c7fff-5e27-47cf-b956-247c0ed5a83d", "image_1": "Perception/single/f51c7fff-5e27-47cf-b956-247c0ed5a83d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a65d80f0-30d1-49fd-bf9e-59a8087a4887", "image_1": "Perception/single/a65d80f0-30d1-49fd-bf9e-59a8087a4887_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "dac530c4-f541-4f3b-833c-1976f33435fd", "image_1": "Perception/single/dac530c4-f541-4f3b-833c-1976f33435fd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "95b598de-b953-46f6-9cab-94cdbdc5d7ff", "image_1": "Perception/single/95b598de-b953-46f6-9cab-94cdbdc5d7ff_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "a574f792-e881-4391-b17e-9fef1ac93df1", "image_1": "Perception/single/a574f792-e881-4391-b17e-9fef1ac93df1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "d4ebced0-df07-40e5-9a26-788d167d8d50", "image_1": "Perception/single/d4ebced0-df07-40e5-9a26-788d167d8d50_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b2cee908-4673-4fba-9234-6751f7b3a53d", "image_1": "Perception/single/b2cee908-4673-4fba-9234-6751f7b3a53d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "fb607d48-dc05-44fd-8172-9bd773bb506f", "image_1": "Perception/single/fb607d48-dc05-44fd-8172-9bd773bb506f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "cd65dde7-5dbe-43ef-8ee5-59f8369854d3", "image_1": "Perception/single/cd65dde7-5dbe-43ef-8ee5-59f8369854d3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c7031f87-afa6-4869-8bdf-a8a1de2afda2", "image_1": "Perception/single/c7031f87-afa6-4869-8bdf-a8a1de2afda2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "06308ab9-d747-434f-a1af-b896ea068248", "image_1": "Perception/single/06308ab9-d747-434f-a1af-b896ea068248_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "ba45af5f-e3a9-4b54-8778-695ab10fbd64", "image_1": "Perception/single/ba45af5f-e3a9-4b54-8778-695ab10fbd64_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e256b666-6bd5-4d6d-b1c2-7888bcdead53", "image_1": "Perception/single/e256b666-6bd5-4d6d-b1c2-7888bcdead53_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2da04d54-ee20-4cdc-854f-96aa4fa259bc", "image_1": "Perception/single/2da04d54-ee20-4cdc-854f-96aa4fa259bc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "45823cdc-d48e-4349-93e6-71505697f71b", "image_1": "Perception/single/45823cdc-d48e-4349-93e6-71505697f71b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "b3344704-d63e-4fb0-9fe7-24cbb6c5a45e", "image_1": "Perception/single/b3344704-d63e-4fb0-9fe7-24cbb6c5a45e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "9cce93e5-6f76-4e3e-a4a6-1ca980159a2a", "image_1": "Perception/single/9cce93e5-6f76-4e3e-a4a6-1ca980159a2a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "721ba779-032a-457a-96d4-2ae29bb64c56", "image_1": "Perception/single/721ba779-032a-457a-96d4-2ae29bb64c56_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "9b0698b4-e69d-4305-b14c-026c565b6a84", "image_1": "Perception/single/9b0698b4-e69d-4305-b14c-026c565b6a84_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "07cda93d-820a-4b3c-9a7c-08f96742801a", "image_1": "Perception/single/07cda93d-820a-4b3c-9a7c-08f96742801a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e8e83faf-ee28-4651-8354-febc298a8e28", "image_1": "Perception/single/e8e83faf-ee28-4651-8354-febc298a8e28_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1ac43e2b-499f-4200-9bb6-1cdee0c5941f", "image_1": "Perception/single/1ac43e2b-499f-4200-9bb6-1cdee0c5941f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "7ed2b0d9-3060-48d5-8772-a626e1233d4a", "image_1": "Perception/single/7ed2b0d9-3060-48d5-8772-a626e1233d4a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f3306f54-bc36-4c75-b94a-77bf45f85f15", "image_1": "Perception/single/f3306f54-bc36-4c75-b94a-77bf45f85f15_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e7fc134b-3de4-4397-8dfe-aa5b3e276376", "image_1": "Perception/single/e7fc134b-3de4-4397-8dfe-aa5b3e276376_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "64d89cd6-cb7d-4581-8d8a-5408a4721588", "image_1": "Perception/single/64d89cd6-cb7d-4581-8d8a-5408a4721588_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "65f7def0-4806-4212-875f-0e142f9b5fd4", "image_1": "Perception/single/65f7def0-4806-4212-875f-0e142f9b5fd4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "dc2fdcde-3365-4cf5-b7a8-a9719a83a693", "image_1": "Perception/single/dc2fdcde-3365-4cf5-b7a8-a9719a83a693_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c6bbea9b-017a-4418-b61e-3510bdf6c3db", "image_1": "Perception/single/c6bbea9b-017a-4418-b61e-3510bdf6c3db_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3f739d1c-d501-4511-9574-cbf6959ea770", "image_1": "Perception/single/3f739d1c-d501-4511-9574-cbf6959ea770_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "95da9213-4632-4831-a10b-330c04382e18", "image_1": "Perception/single/95da9213-4632-4831-a10b-330c04382e18_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "4a58836b-7ad1-4336-8cc8-83c55ea595df", "image_1": "Perception/single/4a58836b-7ad1-4336-8cc8-83c55ea595df_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "fefd2e36-d928-4af7-9500-eadb35cd189e", "image_1": "Perception/single/fefd2e36-d928-4af7-9500-eadb35cd189e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "52dc4d70-bfca-4e9a-b33a-acc5696f30c4", "image_1": "Perception/single/52dc4d70-bfca-4e9a-b33a-acc5696f30c4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7ffb5bda-bda9-4a65-ac8a-b0f0c29ed015", "image_1": "Perception/single/7ffb5bda-bda9-4a65-ac8a-b0f0c29ed015_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3e61e288-aa38-4e57-bc73-a86f39620735", "image_1": "Perception/single/3e61e288-aa38-4e57-bc73-a86f39620735_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0ac99c95-ae81-4cc7-9406-399ce8b5df64", "image_1": "Perception/single/0ac99c95-ae81-4cc7-9406-399ce8b5df64_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "dbd65b0c-be50-4a95-b74b-8bcda9afceba", "image_1": "Perception/single/dbd65b0c-be50-4a95-b74b-8bcda9afceba_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f0cd773e-02aa-46ca-b8c6-cd0b6fffd2f5", "image_1": "Perception/single/f0cd773e-02aa-46ca-b8c6-cd0b6fffd2f5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ecd04ec2-37d7-4fe3-896d-21334172424f", "image_1": "Perception/single/ecd04ec2-37d7-4fe3-896d-21334172424f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "fbbbd83d-cc71-4e26-9563-1be47c49a6d4", "image_1": "Perception/single/fbbbd83d-cc71-4e26-9563-1be47c49a6d4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3bc2cf03-ea53-40ca-b5ea-cb1c9ab756ec", "image_1": "Perception/single/3bc2cf03-ea53-40ca-b5ea-cb1c9ab756ec_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "6ff98cda-3e79-4535-99e7-2850b3fe875d", "image_1": "Perception/single/6ff98cda-3e79-4535-99e7-2850b3fe875d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "b8f4db22-3ed4-44ff-bca5-1889c616f2a4", "image_1": "Perception/single/b8f4db22-3ed4-44ff-bca5-1889c616f2a4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "9c01d9d7-5804-4155-999b-d9f3458c71c8", "image_1": "Perception/single/9c01d9d7-5804-4155-999b-d9f3458c71c8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "72ac6767-5287-4765-aede-1a0236ce8c6f", "image_1": "Perception/single/72ac6767-5287-4765-aede-1a0236ce8c6f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "cbf9e819-fa08-4c62-8875-3ab3937e49b1", "image_1": "Perception/single/cbf9e819-fa08-4c62-8875-3ab3937e49b1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "02f118d1-2c4d-4053-8d5a-dd8f2229e214", "image_1": "Perception/single/02f118d1-2c4d-4053-8d5a-dd8f2229e214_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3e4245a9-84eb-4214-a7dd-329fdbf49d03", "image_1": "Perception/single/3e4245a9-84eb-4214-a7dd-329fdbf49d03_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e30b70bc-3beb-4d87-a249-10fc6e7ee48b", "image_1": "Perception/single/e30b70bc-3beb-4d87-a249-10fc6e7ee48b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "abb39078-14e6-4394-bd96-5d72c9b1bc52", "image_1": "Perception/single/abb39078-14e6-4394-bd96-5d72c9b1bc52_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "1f6cd814-b819-4fb1-a9b7-2bfec8b122ab", "image_1": "Perception/single/1f6cd814-b819-4fb1-a9b7-2bfec8b122ab_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "7a162760-1f90-4c0f-99cd-362941d2d6bd", "image_1": "Perception/single/7a162760-1f90-4c0f-99cd-362941d2d6bd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "e4cdc153-f71c-48b3-8a69-e8b107462c65", "image_1": "Perception/single/e4cdc153-f71c-48b3-8a69-e8b107462c65_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "420b68a7-85c5-4c0f-a554-a57869dafe8c", "image_1": "Perception/single/420b68a7-85c5-4c0f-a554-a57869dafe8c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "b4ef3cf2-759d-4295-a521-3ea1671ebc84", "image_1": "Perception/single/b4ef3cf2-759d-4295-a521-3ea1671ebc84_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "4696341b-3403-41ad-9937-efa0fc2a3e58", "image_1": "Perception/single/4696341b-3403-41ad-9937-efa0fc2a3e58_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3d655b7c-382c-40ce-98cc-b3969216437e", "image_1": "Perception/single/3d655b7c-382c-40ce-98cc-b3969216437e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "db14d1fe-d01a-4d90-a072-82cb5ed2ab72", "image_1": "Perception/single/db14d1fe-d01a-4d90-a072-82cb5ed2ab72_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5ea008d0-d0b2-40df-b272-82cce98ea7c4", "image_1": "Perception/single/5ea008d0-d0b2-40df-b272-82cce98ea7c4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "6c609057-4b6b-4bff-ab2c-9f75a590765d", "image_1": "Perception/single/6c609057-4b6b-4bff-ab2c-9f75a590765d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c6f380d3-edd0-432b-b835-2a8cc940615d", "image_1": "Perception/single/c6f380d3-edd0-432b-b835-2a8cc940615d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "96ff9f1b-ffd2-41f1-bfbd-3b9c43b1625a", "image_1": "Perception/single/96ff9f1b-ffd2-41f1-bfbd-3b9c43b1625a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "016675ef-9f99-4495-89e4-0f40a93b9c5c", "image_1": "Perception/single/016675ef-9f99-4495-89e4-0f40a93b9c5c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "480f25d8-e119-4b03-b0ea-b6b617cfd76a", "image_1": "Perception/single/480f25d8-e119-4b03-b0ea-b6b617cfd76a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "cac5f4ba-3e81-4e67-8d15-4181f5029957", "image_1": "Perception/single/cac5f4ba-3e81-4e67-8d15-4181f5029957_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "64d9474d-f1f1-4eec-9025-df7cae6e6a2a", "image_1": "Perception/single/64d9474d-f1f1-4eec-9025-df7cae6e6a2a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "b29f59cb-f1b5-47d3-ae41-f1a50366919a", "image_1": "Perception/single/b29f59cb-f1b5-47d3-ae41-f1a50366919a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a29744c2-b7b4-4c66-af96-c385c81b2150", "image_1": "Perception/single/a29744c2-b7b4-4c66-af96-c385c81b2150_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7e63fc8d-a16d-47be-b45d-13e28e48d625", "image_1": "Perception/single/7e63fc8d-a16d-47be-b45d-13e28e48d625_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "6db8fe39-ec14-4022-87d1-e98a533bca58", "image_1": "Perception/single/6db8fe39-ec14-4022-87d1-e98a533bca58_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "659ba41a-0826-409c-9574-2dd9b44c8eab", "image_1": "Perception/single/659ba41a-0826-409c-9574-2dd9b44c8eab_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "335ffb0d-ec64-4638-b04b-5caac5b6cbf8", "image_1": "Perception/single/335ffb0d-ec64-4638-b04b-5caac5b6cbf8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "a02eb69c-e78e-4931-bccf-9e96919cc341", "image_1": "Perception/single/a02eb69c-e78e-4931-bccf-9e96919cc341_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "46f32c65-b700-41aa-9c40-9d3ea5eb50ea", "image_1": "Perception/single/46f32c65-b700-41aa-9c40-9d3ea5eb50ea_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f90f1e3a-9347-4615-9e70-95833b771dbc", "image_1": "Perception/single/f90f1e3a-9347-4615-9e70-95833b771dbc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "80368bde-c144-49c7-8965-fd4901ad7f3f", "image_1": "Perception/single/80368bde-c144-49c7-8965-fd4901ad7f3f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "b9f8c789-504b-4915-aba0-9fd4c4fc0644", "image_1": "Perception/single/b9f8c789-504b-4915-aba0-9fd4c4fc0644_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f144fb09-c850-451c-a9aa-aabbb0fbcc19", "image_1": "Perception/single/f144fb09-c850-451c-a9aa-aabbb0fbcc19_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "b6b341c1-04c4-4c54-8286-8e5010d07b05", "image_1": "Perception/single/b6b341c1-04c4-4c54-8286-8e5010d07b05_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b73057c1-34a8-4fc1-ab99-ed1ee48077a9", "image_1": "Perception/single/b73057c1-34a8-4fc1-ab99-ed1ee48077a9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ded48a08-c705-4a83-9f87-248782d23d3c", "image_1": "Perception/single/ded48a08-c705-4a83-9f87-248782d23d3c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7ec8b0ed-1795-4212-a40f-8dfeed1d155d", "image_1": "Perception/single/7ec8b0ed-1795-4212-a40f-8dfeed1d155d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "02d81b2c-603f-458a-b049-eede6293274d", "image_1": "Perception/single/02d81b2c-603f-458a-b049-eede6293274d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "408cd320-9192-44ad-b3c5-a9a827c8ecbf", "image_1": "Perception/single/408cd320-9192-44ad-b3c5-a9a827c8ecbf_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "56d5322a-9733-44ab-a2bb-e0e8e6e80cc5", "image_1": "Perception/single/56d5322a-9733-44ab-a2bb-e0e8e6e80cc5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "9d8db2b2-f242-470d-9bd9-c86a33176a1c", "image_1": "Perception/single/9d8db2b2-f242-470d-9bd9-c86a33176a1c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c38dfd94-1e2a-4877-9b1d-98608ae48b4f", "image_1": "Perception/single/c38dfd94-1e2a-4877-9b1d-98608ae48b4f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e2c2bc5a-0ded-4b8a-82ce-5d54f193ae5d", "image_1": "Perception/single/e2c2bc5a-0ded-4b8a-82ce-5d54f193ae5d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "fce37825-a36f-4762-92ee-77ae56405e80", "image_1": "Perception/single/fce37825-a36f-4762-92ee-77ae56405e80_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b42abbfd-26ca-47b2-973b-b74a96f08919", "image_1": "Perception/single/b42abbfd-26ca-47b2-973b-b74a96f08919_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "62b59540-0bf1-4d96-bea5-8c26a0de494d", "image_1": "Perception/single/62b59540-0bf1-4d96-bea5-8c26a0de494d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "de6ef5ef-74a9-4e49-954e-750c12271f5f", "image_1": "Perception/single/de6ef5ef-74a9-4e49-954e-750c12271f5f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a63f0c42-05f4-42cd-9dad-6b00504c52e2", "image_1": "Perception/single/a63f0c42-05f4-42cd-9dad-6b00504c52e2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3b3afe1c-209b-4ed4-9ec2-42be15bf9bf9", "image_1": "Perception/single/3b3afe1c-209b-4ed4-9ec2-42be15bf9bf9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "41df1dba-e97b-47a5-bf3d-83dff85c084a", "image_1": "Perception/single/41df1dba-e97b-47a5-bf3d-83dff85c084a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "12869bd7-7589-43f0-ae35-2f0faa90d0f7", "image_1": "Perception/single/12869bd7-7589-43f0-ae35-2f0faa90d0f7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "78df472a-3a1f-4ca4-8a56-68c1e9e2cd5a", "image_1": "Perception/single/78df472a-3a1f-4ca4-8a56-68c1e9e2cd5a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f2080e30-16e1-4f21-a11c-5262a9e7b5d0", "image_1": "Perception/single/f2080e30-16e1-4f21-a11c-5262a9e7b5d0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9b55dbfd-543a-4873-a537-7bbf06a011ae", "image_1": "Perception/single/9b55dbfd-543a-4873-a537-7bbf06a011ae_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3f2e063e-4173-4896-b44b-5f3f8b0fa74b", "image_1": "Perception/single/3f2e063e-4173-4896-b44b-5f3f8b0fa74b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "450de15e-207e-4dc1-8d5b-e844e8635494", "image_1": "Perception/single/450de15e-207e-4dc1-8d5b-e844e8635494_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "59ad399e-24b2-4fb6-9918-a4e9ee995655", "image_1": "Perception/single/59ad399e-24b2-4fb6-9918-a4e9ee995655_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "4165957e-be23-49cb-9e00-f46afbdfda87", "image_1": "Perception/single/4165957e-be23-49cb-9e00-f46afbdfda87_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "3a5fef73-da9b-4317-bd6a-8f48c19810a4", "image_1": "Perception/single/3a5fef73-da9b-4317-bd6a-8f48c19810a4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "36fa7fb7-6e7d-43c0-ada2-8f5c16cc9008", "image_1": "Perception/single/36fa7fb7-6e7d-43c0-ada2-8f5c16cc9008_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "810b0582-1f86-4d4c-bbcf-3580ef216ffd", "image_1": "Perception/single/810b0582-1f86-4d4c-bbcf-3580ef216ffd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "6792e539-4f61-4c6d-92c4-3723dbe11056", "image_1": "Perception/single/6792e539-4f61-4c6d-92c4-3723dbe11056_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "422e6276-004e-46e8-9999-869278112aa5", "image_1": "Perception/single/422e6276-004e-46e8-9999-869278112aa5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "5024ba17-d5d5-4c94-95b5-315254c7c49b", "image_1": "Perception/single/5024ba17-d5d5-4c94-95b5-315254c7c49b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3cc7c54e-b031-4f91-a76a-474b69846952", "image_1": "Perception/single/3cc7c54e-b031-4f91-a76a-474b69846952_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8d075695-3a81-4d87-ad1e-82f447a8ef80", "image_1": "Perception/single/8d075695-3a81-4d87-ad1e-82f447a8ef80_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8b61b968-d43e-4486-a1b4-5ddcc31e6bc4", "image_1": "Perception/single/8b61b968-d43e-4486-a1b4-5ddcc31e6bc4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d9a9174a-9887-421a-a248-9955e560f996", "image_1": "Perception/single/d9a9174a-9887-421a-a248-9955e560f996_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "476aab7b-7825-49b6-9f07-81294b202a12", "image_1": "Perception/single/476aab7b-7825-49b6-9f07-81294b202a12_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "fc0a41e7-d7bb-46aa-a50c-a0807f021395", "image_1": "Perception/single/fc0a41e7-d7bb-46aa-a50c-a0807f021395_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e7015009-3b54-4171-a8e8-4cffceea3de6", "image_1": "Perception/single/e7015009-3b54-4171-a8e8-4cffceea3de6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ca46780b-ae4d-4aab-b38b-67746576b92a", "image_1": "Perception/single/ca46780b-ae4d-4aab-b38b-67746576b92a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5267dd5a-086a-4244-8134-dcf016dc346a", "image_1": "Perception/single/5267dd5a-086a-4244-8134-dcf016dc346a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "2185b4f3-a244-4b5e-9691-29d22df894b4", "image_1": "Perception/single/2185b4f3-a244-4b5e-9691-29d22df894b4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "23eee792-c82a-4baa-871c-a4bc1d2b8d13", "image_1": "Perception/single/23eee792-c82a-4baa-871c-a4bc1d2b8d13_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ed646149-9e89-4d17-8aa7-861d1da40f38", "image_1": "Perception/single/ed646149-9e89-4d17-8aa7-861d1da40f38_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "154f2ec1-17dc-4c35-846d-1389edd8abe8", "image_1": "Perception/single/154f2ec1-17dc-4c35-846d-1389edd8abe8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "51fa41fe-b779-4c8e-a65c-282291f18a94", "image_1": "Perception/single/51fa41fe-b779-4c8e-a65c-282291f18a94_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0687c350-7b50-40f3-bc6c-c47d47f41e04", "image_1": "Perception/single/0687c350-7b50-40f3-bc6c-c47d47f41e04_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "bcf4a59f-5aab-43ad-89ac-7855ac86442d", "image_1": "Perception/single/bcf4a59f-5aab-43ad-89ac-7855ac86442d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "af932801-2201-4021-b5dc-cfde79abe1b4", "image_1": "Perception/single/af932801-2201-4021-b5dc-cfde79abe1b4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c3a03d61-9fd1-4ef2-b66b-a5cad8fa5fc2", "image_1": "Perception/single/c3a03d61-9fd1-4ef2-b66b-a5cad8fa5fc2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "4802746f-384e-4ab4-b9a8-1181a356b853", "image_1": "Perception/single/4802746f-384e-4ab4-b9a8-1181a356b853_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "5a746035-c1c1-4cf1-b8d0-2615786b5970", "image_1": "Perception/single/5a746035-c1c1-4cf1-b8d0-2615786b5970_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "050dc4bc-26c5-4c6d-99a0-e10ee22545be", "image_1": "Perception/single/050dc4bc-26c5-4c6d-99a0-e10ee22545be_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "cec76509-b21b-48f2-86fe-ecaeb505711f", "image_1": "Perception/single/cec76509-b21b-48f2-86fe-ecaeb505711f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "32076981-e518-4a3b-b6c0-de58550d9f77", "image_1": "Perception/single/32076981-e518-4a3b-b6c0-de58550d9f77_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "5d7c460e-e06d-4f78-95bd-127127a91d5a", "image_1": "Perception/single/5d7c460e-e06d-4f78-95bd-127127a91d5a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "92454e8e-d9a0-4ed5-a5bc-fd3ddf7e6929", "image_1": "Perception/single/92454e8e-d9a0-4ed5-a5bc-fd3ddf7e6929_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "405b3f8c-2acd-4aef-899c-a30cbc773918", "image_1": "Perception/single/405b3f8c-2acd-4aef-899c-a30cbc773918_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "eca51a9e-6264-484f-a884-92030593c78f", "image_1": "Perception/single/eca51a9e-6264-484f-a884-92030593c78f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "097f448a-e937-4164-ac51-52ea05a2ab21", "image_1": "Perception/single/097f448a-e937-4164-ac51-52ea05a2ab21_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "f0d82b73-872c-42f5-99ab-fed799d61e7a", "image_1": "Perception/single/f0d82b73-872c-42f5-99ab-fed799d61e7a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "80c3ce7e-f227-4b01-89e9-54995fec3cc1", "image_1": "Perception/single/80c3ce7e-f227-4b01-89e9-54995fec3cc1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7842464e-5a92-42a9-b4fe-11c4175ba61c", "image_1": "Perception/single/7842464e-5a92-42a9-b4fe-11c4175ba61c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "34897713-f938-4b5e-9258-96ca3f4f5cc5", "image_1": "Perception/single/34897713-f938-4b5e-9258-96ca3f4f5cc5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c7d3e257-0c55-437d-87ba-0d23f54701d1", "image_1": "Perception/single/c7d3e257-0c55-437d-87ba-0d23f54701d1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0d565613-1c87-4782-bd28-fbe93070c646", "image_1": "Perception/single/0d565613-1c87-4782-bd28-fbe93070c646_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7c2c6878-cc97-4f15-8f3e-215570a41a8e", "image_1": "Perception/single/7c2c6878-cc97-4f15-8f3e-215570a41a8e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2337a340-609a-4d6b-a752-a0680f94c2f0", "image_1": "Perception/single/2337a340-609a-4d6b-a752-a0680f94c2f0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "181fba9e-7e1a-4cab-8ea1-f367b2221cf9", "image_1": "Perception/single/181fba9e-7e1a-4cab-8ea1-f367b2221cf9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "2320cee2-b8e1-4fdf-9934-3fcd68344a27", "image_1": "Perception/single/2320cee2-b8e1-4fdf-9934-3fcd68344a27_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1f5f4686-c7d9-4180-9ddd-7c5508f6b1b5", "image_1": "Perception/single/1f5f4686-c7d9-4180-9ddd-7c5508f6b1b5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "7389dd23-c07b-45e1-a120-cde3873abae7", "image_1": "Perception/single/7389dd23-c07b-45e1-a120-cde3873abae7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f8a63eb3-f0c3-4a13-8d58-cf28425c3f99", "image_1": "Perception/single/f8a63eb3-f0c3-4a13-8d58-cf28425c3f99_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "fa67b143-11f4-445c-beb0-6652b0a8892d", "image_1": "Perception/single/fa67b143-11f4-445c-beb0-6652b0a8892d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "1440965b-42a0-4611-b521-2e66f7918bd7", "image_1": "Perception/single/1440965b-42a0-4611-b521-2e66f7918bd7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "7284b6f7-beff-401f-a218-a665bb08f81a", "image_1": "Perception/single/7284b6f7-beff-401f-a218-a665bb08f81a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3f0fb364-03ff-4fd1-89f0-614c12ce7028", "image_1": "Perception/single/3f0fb364-03ff-4fd1-89f0-614c12ce7028_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "f1a78aaf-0b18-4d90-ab41-337082705501", "image_1": "Perception/single/f1a78aaf-0b18-4d90-ab41-337082705501_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "bd88f26a-81de-4f30-a0d3-a1548a90dea4", "image_1": "Perception/single/bd88f26a-81de-4f30-a0d3-a1548a90dea4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "4a1d3674-1d20-4c3a-b7a0-fe3728a2130f", "image_1": "Perception/single/4a1d3674-1d20-4c3a-b7a0-fe3728a2130f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a1fa7b84-b7d8-43c7-9f0c-b15f230f89e1", "image_1": "Perception/single/a1fa7b84-b7d8-43c7-9f0c-b15f230f89e1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ce51f865-9bf6-4baf-b56a-d7cec7fe9169", "image_1": "Perception/single/ce51f865-9bf6-4baf-b56a-d7cec7fe9169_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "7d15f2b2-c423-42b6-add7-f9a9ef72b5a5", "image_1": "Perception/single/7d15f2b2-c423-42b6-add7-f9a9ef72b5a5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d185f63e-325d-46a1-b579-033882b89e36", "image_1": "Perception/single/d185f63e-325d-46a1-b579-033882b89e36_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5040ca2e-cf3f-4441-9019-97c0d1e7b669", "image_1": "Perception/single/5040ca2e-cf3f-4441-9019-97c0d1e7b669_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "6afb18f1-6f57-40c3-87f9-0d445d4ff837", "image_1": "Perception/single/6afb18f1-6f57-40c3-87f9-0d445d4ff837_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c3a7c9c3-5d35-4596-909e-554d2b6ba86d", "image_1": "Perception/single/c3a7c9c3-5d35-4596-909e-554d2b6ba86d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "ac437e08-a1ec-4c6c-a481-700ce5792f9e", "image_1": "Perception/single/ac437e08-a1ec-4c6c-a481-700ce5792f9e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "737977b7-f387-427f-8fa1-466d1fc82e1c", "image_1": "Perception/single/737977b7-f387-427f-8fa1-466d1fc82e1c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "54af69cf-f147-4153-81c3-89c0c6beb40f", "image_1": "Perception/single/54af69cf-f147-4153-81c3-89c0c6beb40f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b712f956-d4f7-4f71-843d-866004f5e0c3", "image_1": "Perception/single/b712f956-d4f7-4f71-843d-866004f5e0c3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "cf03d1c8-7a05-43e6-afd4-9565958ee971", "image_1": "Perception/single/cf03d1c8-7a05-43e6-afd4-9565958ee971_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "008fbd5f-2993-425b-9ab2-07f3a7416929", "image_1": "Perception/single/008fbd5f-2993-425b-9ab2-07f3a7416929_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "2d63cf10-8aaa-420c-9f08-9f7ada7ce4c8", "image_1": "Perception/single/2d63cf10-8aaa-420c-9f08-9f7ada7ce4c8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "bde5cd9d-d00e-455f-a44b-5e089a1c2250", "image_1": "Perception/single/bde5cd9d-d00e-455f-a44b-5e089a1c2250_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d7e002c7-16ff-48b0-872e-61172878940f", "image_1": "Perception/single/d7e002c7-16ff-48b0-872e-61172878940f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "14943f23-60a3-444d-86d8-ecc9cfe5e625", "image_1": "Perception/single/14943f23-60a3-444d-86d8-ecc9cfe5e625_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7291dee1-462a-4f64-8819-1ad2dd63e809", "image_1": "Perception/single/7291dee1-462a-4f64-8819-1ad2dd63e809_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "4ba5d984-af8e-47ec-ba2d-02f3fa9291fb", "image_1": "Perception/single/4ba5d984-af8e-47ec-ba2d-02f3fa9291fb_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "83a24b4f-3809-4f9b-9e2e-18f069121657", "image_1": "Perception/single/83a24b4f-3809-4f9b-9e2e-18f069121657_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "ca1af93a-3ffb-4d4b-988a-9827f8d89aca", "image_1": "Perception/single/ca1af93a-3ffb-4d4b-988a-9827f8d89aca_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "793af33c-6b98-4c0a-95fe-46bd56c020d9", "image_1": "Perception/single/793af33c-6b98-4c0a-95fe-46bd56c020d9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7c744384-f97d-4666-9705-ea3828487760", "image_1": "Perception/single/7c744384-f97d-4666-9705-ea3828487760_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f32499df-f405-4c77-bbb6-0a8a02900fe8", "image_1": "Perception/single/f32499df-f405-4c77-bbb6-0a8a02900fe8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "bdfe7c43-0a00-4d14-9cbf-7b9e59d9e635", "image_1": "Perception/single/bdfe7c43-0a00-4d14-9cbf-7b9e59d9e635_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ad83bf2a-fe0e-4d94-b7a6-1fc716f919a9", "image_1": "Perception/single/ad83bf2a-fe0e-4d94-b7a6-1fc716f919a9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "83472204-b568-41f7-8c85-ce912c8762f4", "image_1": "Perception/single/83472204-b568-41f7-8c85-ce912c8762f4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3a5775c6-427c-4ddd-a288-b6f72fca148a", "image_1": "Perception/single/3a5775c6-427c-4ddd-a288-b6f72fca148a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "27986f29-9004-49bf-8e35-c285461c984b", "image_1": "Perception/single/27986f29-9004-49bf-8e35-c285461c984b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "79a9ddab-bd93-4a5d-9ed5-90765403d6ce", "image_1": "Perception/single/79a9ddab-bd93-4a5d-9ed5-90765403d6ce_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "eacc7db3-c754-476e-a0fd-e513ebf0ed91", "image_1": "Perception/single/eacc7db3-c754-476e-a0fd-e513ebf0ed91_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "dd17202b-19fb-4cc5-969e-d0193289092b", "image_1": "Perception/single/dd17202b-19fb-4cc5-969e-d0193289092b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ceff0a06-f5e3-4a9d-ab69-b94df39afa9e", "image_1": "Perception/single/ceff0a06-f5e3-4a9d-ab69-b94df39afa9e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "3a3a4fe1-d2e1-4ea1-a89d-2a5bf8154952", "image_1": "Perception/single/3a3a4fe1-d2e1-4ea1-a89d-2a5bf8154952_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "af8be55b-5053-4ad1-80a0-ea9e9ad49549", "image_1": "Perception/single/af8be55b-5053-4ad1-80a0-ea9e9ad49549_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "992ead62-58d1-4dd7-a14c-b529bdb07280", "image_1": "Perception/single/992ead62-58d1-4dd7-a14c-b529bdb07280_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5b7260cc-c5ab-45c2-96c0-3dba85591ae8", "image_1": "Perception/single/5b7260cc-c5ab-45c2-96c0-3dba85591ae8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "b0497365-1167-41df-985c-3b6c07e42e06", "image_1": "Perception/single/b0497365-1167-41df-985c-3b6c07e42e06_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "2f978497-ef61-40f1-b74d-b629e75c89de", "image_1": "Perception/single/2f978497-ef61-40f1-b74d-b629e75c89de_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "7ab0b36e-6df2-411d-be9f-bd7d5c637e07", "image_1": "Perception/single/7ab0b36e-6df2-411d-be9f-bd7d5c637e07_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c0df44a8-d5a6-4927-8843-8256d0aab883", "image_1": "Perception/single/c0df44a8-d5a6-4927-8843-8256d0aab883_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "e3595ec7-3c45-427a-acf3-5b6d2971688d", "image_1": "Perception/single/e3595ec7-3c45-427a-acf3-5b6d2971688d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "54fa8233-5690-4bc1-9a1a-326efe2c930b", "image_1": "Perception/single/54fa8233-5690-4bc1-9a1a-326efe2c930b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b428261f-9143-4ac6-85c6-6b30c7072246", "image_1": "Perception/single/b428261f-9143-4ac6-85c6-6b30c7072246_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "eed57ac3-a06d-48de-aa3a-15ab9edbe460", "image_1": "Perception/single/eed57ac3-a06d-48de-aa3a-15ab9edbe460_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "bec58b24-d501-4194-8698-2593df47eced", "image_1": "Perception/single/bec58b24-d501-4194-8698-2593df47eced_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "38d83b66-94de-4b43-8a53-9332628dcdf2", "image_1": "Perception/single/38d83b66-94de-4b43-8a53-9332628dcdf2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "7111d097-d4eb-4a0b-aa6a-3f511fd2ed3c", "image_1": "Perception/single/7111d097-d4eb-4a0b-aa6a-3f511fd2ed3c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e0a5c260-c188-419e-b1cc-1f29ebd07c1a", "image_1": "Perception/single/e0a5c260-c188-419e-b1cc-1f29ebd07c1a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "18121a42-1f61-48da-a0c6-112d46ff861c", "image_1": "Perception/single/18121a42-1f61-48da-a0c6-112d46ff861c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "2a8a9e35-b4f4-484d-98a1-0392fda5b602", "image_1": "Perception/single/2a8a9e35-b4f4-484d-98a1-0392fda5b602_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "52e871c5-eaab-4dae-89db-db06a455e951", "image_1": "Perception/single/52e871c5-eaab-4dae-89db-db06a455e951_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "71bb938d-c937-4431-aba8-f4d474683db1", "image_1": "Perception/single/71bb938d-c937-4431-aba8-f4d474683db1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "91e105a2-62ba-4c10-a5b9-abf438bd22e2", "image_1": "Perception/single/91e105a2-62ba-4c10-a5b9-abf438bd22e2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5350f0fb-4ec4-419f-930c-871341e526f2", "image_1": "Perception/single/5350f0fb-4ec4-419f-930c-871341e526f2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d5fda949-f7e5-45a9-8ab4-b2b957a69ffa", "image_1": "Perception/single/d5fda949-f7e5-45a9-8ab4-b2b957a69ffa_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b9db8c30-c6ac-4c0c-94a8-ac4f3c6d59d7", "image_1": "Perception/single/b9db8c30-c6ac-4c0c-94a8-ac4f3c6d59d7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5a9ec1fd-6c90-4a39-be13-0edab6508520", "image_1": "Perception/single/5a9ec1fd-6c90-4a39-be13-0edab6508520_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b08fa768-b85e-4cc5-8870-732fa0e336af", "image_1": "Perception/single/b08fa768-b85e-4cc5-8870-732fa0e336af_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "470e86a1-4d48-4ea8-8027-8ed8d143126e", "image_1": "Perception/single/470e86a1-4d48-4ea8-8027-8ed8d143126e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "2b073c8f-a861-4cfa-a80e-9c08b2caefc5", "image_1": "Perception/single/2b073c8f-a861-4cfa-a80e-9c08b2caefc5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b1d764f1-9740-4a2b-9999-a4ee5f26a72c", "image_1": "Perception/single/b1d764f1-9740-4a2b-9999-a4ee5f26a72c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c253d6d5-30f8-4b3f-822a-c3be64288fc7", "image_1": "Perception/single/c253d6d5-30f8-4b3f-822a-c3be64288fc7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "43d38a1a-5b09-437e-bb24-1803f11ec023", "image_1": "Perception/single/43d38a1a-5b09-437e-bb24-1803f11ec023_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "36248d54-5744-4150-b863-54c78f27edb9", "image_1": "Perception/single/36248d54-5744-4150-b863-54c78f27edb9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e0b1217e-5484-496d-97e8-0712a3411fca", "image_1": "Perception/single/e0b1217e-5484-496d-97e8-0712a3411fca_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "fe4f6cba-c4f0-49d2-9dee-c2bf7f5abb43", "image_1": "Perception/single/fe4f6cba-c4f0-49d2-9dee-c2bf7f5abb43_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c0b549aa-31c3-4e9e-a42f-9f48e0b9e702", "image_1": "Perception/single/c0b549aa-31c3-4e9e-a42f-9f48e0b9e702_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d2db9a41-b819-4947-9fe4-37b31aa8c35f", "image_1": "Perception/single/d2db9a41-b819-4947-9fe4-37b31aa8c35f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "6334dc88-a650-4bbe-814d-6e889fcef9cf", "image_1": "Perception/single/6334dc88-a650-4bbe-814d-6e889fcef9cf_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "6dfbf476-1a2f-4b75-936d-27e5aff11ae6", "image_1": "Perception/single/6dfbf476-1a2f-4b75-936d-27e5aff11ae6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ee6b353f-c157-4d8f-b88a-ee2b8724729c", "image_1": "Perception/single/ee6b353f-c157-4d8f-b88a-ee2b8724729c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3c240387-08c5-4ada-9dfe-987a65bd2f03", "image_1": "Perception/single/3c240387-08c5-4ada-9dfe-987a65bd2f03_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "12ba2a29-618f-4f87-ad28-c22dda9199dc", "image_1": "Perception/single/12ba2a29-618f-4f87-ad28-c22dda9199dc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5b97940e-c6cd-4fe6-8a20-65b96beb7b70", "image_1": "Perception/single/5b97940e-c6cd-4fe6-8a20-65b96beb7b70_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "4dc21f06-988f-49a2-a16e-6bbe4b18d9a3", "image_1": "Perception/single/4dc21f06-988f-49a2-a16e-6bbe4b18d9a3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "4431bec2-9b8a-45af-9717-27509b3b70f8", "image_1": "Perception/single/4431bec2-9b8a-45af-9717-27509b3b70f8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "bd80e5bf-d9af-47a9-9093-def84558b37c", "image_1": "Perception/single/bd80e5bf-d9af-47a9-9093-def84558b37c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0acdcb12-db2d-460b-af0c-e89827de6ce8", "image_1": "Perception/single/0acdcb12-db2d-460b-af0c-e89827de6ce8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "644612ae-6379-4cec-9eb0-70626b315a7e", "image_1": "Perception/single/644612ae-6379-4cec-9eb0-70626b315a7e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2879b4c4-f8dc-4b43-96be-51afd42dc270", "image_1": "Perception/single/2879b4c4-f8dc-4b43-96be-51afd42dc270_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0f350aa0-38dc-4fff-80e0-97bf0c438516", "image_1": "Perception/single/0f350aa0-38dc-4fff-80e0-97bf0c438516_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e4495934-bf12-4a45-a81b-5a56b0d997f7", "image_1": "Perception/single/e4495934-bf12-4a45-a81b-5a56b0d997f7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a8516fb0-5374-48ad-9995-62267af292fc", "image_1": "Perception/single/a8516fb0-5374-48ad-9995-62267af292fc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "41167c65-b98a-4a7b-a220-c141aeee78db", "image_1": "Perception/single/41167c65-b98a-4a7b-a220-c141aeee78db_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "6e953bdc-6802-42d6-865e-def8a1726d64", "image_1": "Perception/single/6e953bdc-6802-42d6-865e-def8a1726d64_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e13d4fa2-d442-4671-89b4-d0a03c739f1c", "image_1": "Perception/single/e13d4fa2-d442-4671-89b4-d0a03c739f1c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7c3159fb-d5ef-4614-abd8-340e39791f45", "image_1": "Perception/single/7c3159fb-d5ef-4614-abd8-340e39791f45_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "cbf9fa52-4670-409a-b09d-2941b761bb95", "image_1": "Perception/single/cbf9fa52-4670-409a-b09d-2941b761bb95_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a5c1cc3b-b5fa-4d1f-95ab-42f38fefa2ec", "image_1": "Perception/single/a5c1cc3b-b5fa-4d1f-95ab-42f38fefa2ec_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7ae7733b-b1d5-4125-82d9-392c803cb9ef", "image_1": "Perception/single/7ae7733b-b1d5-4125-82d9-392c803cb9ef_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5944eba7-5b77-4a3c-a26b-f06891f51eb6", "image_1": "Perception/single/5944eba7-5b77-4a3c-a26b-f06891f51eb6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "72a8b6db-93b2-4613-bf95-abcf3503be43", "image_1": "Perception/single/72a8b6db-93b2-4613-bf95-abcf3503be43_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "49674ace-c3de-44b0-90d2-955e30c53609", "image_1": "Perception/single/49674ace-c3de-44b0-90d2-955e30c53609_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3a3421ee-c6dd-4e2e-972c-22acc2a4ac9c", "image_1": "Perception/single/3a3421ee-c6dd-4e2e-972c-22acc2a4ac9c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "453cc66a-44e7-48b0-bf87-c8e3fbbf0510", "image_1": "Perception/single/453cc66a-44e7-48b0-bf87-c8e3fbbf0510_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "fb17b841-5b88-4331-b1a5-809de01b26da", "image_1": "Perception/single/fb17b841-5b88-4331-b1a5-809de01b26da_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "e572d315-76cc-496d-8b1d-6588b0516e5b", "image_1": "Perception/single/e572d315-76cc-496d-8b1d-6588b0516e5b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "71104d3e-b70a-4e2b-90d3-6d0b51da2baf", "image_1": "Perception/single/71104d3e-b70a-4e2b-90d3-6d0b51da2baf_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7cab404e-b00a-4295-ac3c-bcfad42abafa", "image_1": "Perception/single/7cab404e-b00a-4295-ac3c-bcfad42abafa_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "4f27dc1c-fc87-403f-b32d-975149dd6ba8", "image_1": "Perception/single/4f27dc1c-fc87-403f-b32d-975149dd6ba8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d87b6561-9b00-4f54-a29c-4b5be4e878e7", "image_1": "Perception/single/d87b6561-9b00-4f54-a29c-4b5be4e878e7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "38fefbbe-55f0-49a7-8de6-3cc7b5be25f8", "image_1": "Perception/single/38fefbbe-55f0-49a7-8de6-3cc7b5be25f8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "4cce9273-ab62-4120-98ea-2e6f679ce5d8", "image_1": "Perception/single/4cce9273-ab62-4120-98ea-2e6f679ce5d8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c3175774-e29d-4bef-bb62-bf60a1b1204f", "image_1": "Perception/single/c3175774-e29d-4bef-bb62-bf60a1b1204f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "38e4adf8-c190-4a2e-859e-5e13bba38b5b", "image_1": "Perception/single/38e4adf8-c190-4a2e-859e-5e13bba38b5b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c0090de8-db15-405d-b90e-17ef1d312bb5", "image_1": "Perception/single/c0090de8-db15-405d-b90e-17ef1d312bb5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ecca212c-ed07-4a55-9f70-c01d88d0440c", "image_1": "Perception/single/ecca212c-ed07-4a55-9f70-c01d88d0440c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a5beb565-de19-4308-bfdb-03303cc43f2f", "image_1": "Perception/single/a5beb565-de19-4308-bfdb-03303cc43f2f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "1baceb97-d12f-4d8d-95fe-12ea4d92fcfc", "image_1": "Perception/single/1baceb97-d12f-4d8d-95fe-12ea4d92fcfc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c9792be8-471c-401f-999f-31c01d156d14", "image_1": "Perception/single/c9792be8-471c-401f-999f-31c01d156d14_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "baa1ea26-6fc5-4ab9-9352-7000870b9350", "image_1": "Perception/single/baa1ea26-6fc5-4ab9-9352-7000870b9350_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "646c1a08-0276-45fa-831a-d7e03c7c0b29", "image_1": "Perception/single/646c1a08-0276-45fa-831a-d7e03c7c0b29_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "2dc88621-7a0d-49f9-8bd7-4044abc0ca4c", "image_1": "Perception/single/2dc88621-7a0d-49f9-8bd7-4044abc0ca4c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "1f8000f7-7a59-4190-b5b7-74e01393e34c", "image_1": "Perception/single/1f8000f7-7a59-4190-b5b7-74e01393e34c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f919539a-5f55-49cf-960e-bd17f7b57e68", "image_1": "Perception/single/f919539a-5f55-49cf-960e-bd17f7b57e68_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3d98cce4-a21c-4163-aaf1-cb1d78dc0034", "image_1": "Perception/single/3d98cce4-a21c-4163-aaf1-cb1d78dc0034_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0d8542b0-0212-4976-b117-42f36dd0b350", "image_1": "Perception/single/0d8542b0-0212-4976-b117-42f36dd0b350_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "b482b024-6b40-449b-9426-c2da54c73a70", "image_1": "Perception/single/b482b024-6b40-449b-9426-c2da54c73a70_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "75f98baa-1b33-4601-b1ed-6921d91e4df9", "image_1": "Perception/single/75f98baa-1b33-4601-b1ed-6921d91e4df9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "bfd86893-681f-4e1b-907e-01ba59d99e62", "image_1": "Perception/single/bfd86893-681f-4e1b-907e-01ba59d99e62_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "68ac98ce-acd4-4ca4-9bbf-129d790972ac", "image_1": "Perception/single/68ac98ce-acd4-4ca4-9bbf-129d790972ac_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "90f17065-57e8-4645-a533-43247dacc96b", "image_1": "Perception/single/90f17065-57e8-4645-a533-43247dacc96b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b8f84b9c-9b74-4a0c-99a0-1262943ecb3f", "image_1": "Perception/single/b8f84b9c-9b74-4a0c-99a0-1262943ecb3f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c4813bb9-e9f7-46f9-9b57-ba756cd56ac0", "image_1": "Perception/single/c4813bb9-e9f7-46f9-9b57-ba756cd56ac0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "acae6120-7f65-4c15-8461-7913311f239c", "image_1": "Perception/single/acae6120-7f65-4c15-8461-7913311f239c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a17906e9-e4be-4de1-9bcf-4b0cd6b9b23b", "image_1": "Perception/single/a17906e9-e4be-4de1-9bcf-4b0cd6b9b23b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "26bc1646-6d64-4e8c-91a8-13c02bc8a2fe", "image_1": "Perception/single/26bc1646-6d64-4e8c-91a8-13c02bc8a2fe_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "4618269a-e9c9-4c31-9282-f02ab338406a", "image_1": "Perception/single/4618269a-e9c9-4c31-9282-f02ab338406a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ed5c5d6f-3b42-4424-8601-3df443114908", "image_1": "Perception/single/ed5c5d6f-3b42-4424-8601-3df443114908_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "71171e3c-04a3-4482-8223-c5283522e316", "image_1": "Perception/single/71171e3c-04a3-4482-8223-c5283522e316_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "d69dcb49-99be-4dac-ab46-2e04243cd904", "image_1": "Perception/single/d69dcb49-99be-4dac-ab46-2e04243cd904_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "b1613b8c-597b-402c-bee4-9ac00db74f4a", "image_1": "Perception/single/b1613b8c-597b-402c-bee4-9ac00db74f4a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "e79a2c55-3e28-4266-b351-99a1dfb424c0", "image_1": "Perception/single/e79a2c55-3e28-4266-b351-99a1dfb424c0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1179746e-2363-4c41-bff4-747ad1783dee", "image_1": "Perception/single/1179746e-2363-4c41-bff4-747ad1783dee_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a037d08d-ea9c-44e0-99a3-172f4fb72bc7", "image_1": "Perception/single/a037d08d-ea9c-44e0-99a3-172f4fb72bc7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5a5b750f-1672-4cce-a14a-bb914fc37969", "image_1": "Perception/single/5a5b750f-1672-4cce-a14a-bb914fc37969_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "73510daa-4fbd-4630-b75d-36fa9acfe062", "image_1": "Perception/single/73510daa-4fbd-4630-b75d-36fa9acfe062_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5c95a4c9-cb81-45d8-9449-d65a4e8840de", "image_1": "Perception/single/5c95a4c9-cb81-45d8-9449-d65a4e8840de_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "f438a2fe-b45d-4bb5-81fd-4922eb010cc8", "image_1": "Perception/single/f438a2fe-b45d-4bb5-81fd-4922eb010cc8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "e41667a3-c21d-4941-8de7-2031f7f124c7", "image_1": "Perception/single/e41667a3-c21d-4941-8de7-2031f7f124c7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "171e910e-1797-498e-baf0-ebf9862ec389", "image_1": "Perception/single/171e910e-1797-498e-baf0-ebf9862ec389_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ea2847ee-41c8-44e1-9eca-8065820d10c0", "image_1": "Perception/single/ea2847ee-41c8-44e1-9eca-8065820d10c0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "1d4f7d2d-fb09-4bcf-95d8-da9f3562513e", "image_1": "Perception/single/1d4f7d2d-fb09-4bcf-95d8-da9f3562513e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3283be94-3ef3-487d-8f3f-9224d132fcb3", "image_1": "Perception/single/3283be94-3ef3-487d-8f3f-9224d132fcb3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "35346ad2-eba7-4960-8aa7-631daaa7ea0b", "image_1": "Perception/single/35346ad2-eba7-4960-8aa7-631daaa7ea0b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9da84174-14d8-4ca6-a4a5-df4675e4deb9", "image_1": "Perception/single/9da84174-14d8-4ca6-a4a5-df4675e4deb9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "05ec268d-337f-43a9-82b1-25657ab4f139", "image_1": "Perception/single/05ec268d-337f-43a9-82b1-25657ab4f139_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "8e1adab8-a2e5-42b0-a413-9a4ae182dafa", "image_1": "Perception/single/8e1adab8-a2e5-42b0-a413-9a4ae182dafa_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8b70be1e-6eed-48d1-9468-90eb7ee58967", "image_1": "Perception/single/8b70be1e-6eed-48d1-9468-90eb7ee58967_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f701a7af-a4b9-4400-9f6c-2c4843478511", "image_1": "Perception/single/f701a7af-a4b9-4400-9f6c-2c4843478511_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c555ee9b-d4c3-40e3-bb46-3a7717cfeea6", "image_1": "Perception/single/c555ee9b-d4c3-40e3-bb46-3a7717cfeea6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e82e4bbd-bf6b-4871-acd3-cb6608ae79e3", "image_1": "Perception/single/e82e4bbd-bf6b-4871-acd3-cb6608ae79e3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f6112dbf-872b-4e05-82c7-a0c6e29b2d26", "image_1": "Perception/single/f6112dbf-872b-4e05-82c7-a0c6e29b2d26_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d779b92e-6f59-4aa5-bf2c-b3592d6bf79c", "image_1": "Perception/single/d779b92e-6f59-4aa5-bf2c-b3592d6bf79c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d1ce6f54-f4f5-4bbf-9e26-a953b72b7401", "image_1": "Perception/single/d1ce6f54-f4f5-4bbf-9e26-a953b72b7401_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "406c71cd-c7d3-4f04-a960-0f1b7ffd8804", "image_1": "Perception/single/406c71cd-c7d3-4f04-a960-0f1b7ffd8804_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "920515c6-0f7d-4211-b1b6-f5f94a8a7cbc", "image_1": "Perception/single/920515c6-0f7d-4211-b1b6-f5f94a8a7cbc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "97a5ad83-3eed-43aa-bc33-5921c21d25f7", "image_1": "Perception/single/97a5ad83-3eed-43aa-bc33-5921c21d25f7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1618abb9-34b0-4101-9932-9b7d1efd7af1", "image_1": "Perception/single/1618abb9-34b0-4101-9932-9b7d1efd7af1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "bee6d690-601c-4fae-b799-bcab87bc86c4", "image_1": "Perception/single/bee6d690-601c-4fae-b799-bcab87bc86c4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "2a7aab13-4397-408f-8327-3024defe327c", "image_1": "Perception/single/2a7aab13-4397-408f-8327-3024defe327c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "da9791ce-77e4-478f-9f64-653c99015357", "image_1": "Perception/single/da9791ce-77e4-478f-9f64-653c99015357_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ef05978b-393d-4bdd-b1ef-78793bef6a10", "image_1": "Perception/single/ef05978b-393d-4bdd-b1ef-78793bef6a10_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "66f81822-d17f-4840-96e5-cfd5ea978c4c", "image_1": "Perception/single/66f81822-d17f-4840-96e5-cfd5ea978c4c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e6b20d3c-5db4-4bc5-9507-d10d3b91cdb9", "image_1": "Perception/single/e6b20d3c-5db4-4bc5-9507-d10d3b91cdb9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "6026e65b-6d5c-4f32-a0fe-43a75267277e", "image_1": "Perception/single/6026e65b-6d5c-4f32-a0fe-43a75267277e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "515ed859-c7e4-4158-bb0e-2246df9cfc48", "image_1": "Perception/single/515ed859-c7e4-4158-bb0e-2246df9cfc48_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "006c83b3-2415-4834-a3f5-597deec44d19", "image_1": "Perception/single/006c83b3-2415-4834-a3f5-597deec44d19_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c786f96c-604e-46b5-9278-01df77088bf2", "image_1": "Perception/single/c786f96c-604e-46b5-9278-01df77088bf2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "674bb96a-a21e-4de2-9bb6-cb0de0342caf", "image_1": "Perception/single/674bb96a-a21e-4de2-9bb6-cb0de0342caf_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e71917ad-c728-4530-abcf-3b1aaaef1a80", "image_1": "Perception/single/e71917ad-c728-4530-abcf-3b1aaaef1a80_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "adc59bda-782e-42b1-bef0-9f5aa22fa6ee", "image_1": "Perception/single/adc59bda-782e-42b1-bef0-9f5aa22fa6ee_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "23466105-0548-4c78-9595-b188cf7ac8c9", "image_1": "Perception/single/23466105-0548-4c78-9595-b188cf7ac8c9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "87fab4bc-02dd-40cb-8c02-8fa457ca9f0f", "image_1": "Perception/single/87fab4bc-02dd-40cb-8c02-8fa457ca9f0f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d7817f2c-55b6-4b2d-afa4-4560d1756016", "image_1": "Perception/single/d7817f2c-55b6-4b2d-afa4-4560d1756016_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "83f7de09-7173-4c4a-a1f4-555169377947", "image_1": "Perception/single/83f7de09-7173-4c4a-a1f4-555169377947_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0ab24557-8a7d-43ec-a9c0-8508b61d7103", "image_1": "Perception/single/0ab24557-8a7d-43ec-a9c0-8508b61d7103_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "09763f27-2721-46e5-880f-40d0f7a85d17", "image_1": "Perception/single/09763f27-2721-46e5-880f-40d0f7a85d17_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "6647ea08-8ab1-483a-ae9f-ecdafe8f99f5", "image_1": "Perception/single/6647ea08-8ab1-483a-ae9f-ecdafe8f99f5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "69c30405-7d0e-465e-9c73-e194802544f0", "image_1": "Perception/single/69c30405-7d0e-465e-9c73-e194802544f0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "daeb6f6d-f329-4579-8807-c00122571853", "image_1": "Perception/single/daeb6f6d-f329-4579-8807-c00122571853_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "9bee271f-88b5-436d-8951-8175d6637ede", "image_1": "Perception/single/9bee271f-88b5-436d-8951-8175d6637ede_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "71b86e22-217b-429f-8b05-f214e41ea04d", "image_1": "Perception/single/71b86e22-217b-429f-8b05-f214e41ea04d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1acc0ee6-0bce-4220-bb12-2ce3d9c18b38", "image_1": "Perception/single/1acc0ee6-0bce-4220-bb12-2ce3d9c18b38_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5953cea6-2935-4cd0-ad05-77098ffbe3dd", "image_1": "Perception/single/5953cea6-2935-4cd0-ad05-77098ffbe3dd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "889bbc5f-762d-4c01-8178-67fcff7de104", "image_1": "Perception/single/889bbc5f-762d-4c01-8178-67fcff7de104_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f077c524-f932-4e7c-bafe-b6e3381b241d", "image_1": "Perception/single/f077c524-f932-4e7c-bafe-b6e3381b241d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3e3d7930-435c-4b47-880c-2ddf491cced3", "image_1": "Perception/single/3e3d7930-435c-4b47-880c-2ddf491cced3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ce25975f-b1fe-439d-97dd-d7b70df611ab", "image_1": "Perception/single/ce25975f-b1fe-439d-97dd-d7b70df611ab_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0bb79695-1024-44f5-8784-2905198039ac", "image_1": "Perception/single/0bb79695-1024-44f5-8784-2905198039ac_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "20e64bd4-6e53-405a-8bea-b79c7cb73518", "image_1": "Perception/single/20e64bd4-6e53-405a-8bea-b79c7cb73518_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "6fb5522d-f7f9-4313-9957-f3add5d978f2", "image_1": "Perception/single/6fb5522d-f7f9-4313-9957-f3add5d978f2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "954524bf-d3be-4b33-8b57-3f255dd16ae0", "image_1": "Perception/single/954524bf-d3be-4b33-8b57-3f255dd16ae0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "bb00d7c0-eff2-4d60-a794-ffe909c4cad8", "image_1": "Perception/single/bb00d7c0-eff2-4d60-a794-ffe909c4cad8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "caa7fae1-d3f1-4b29-86fe-d8d3cd958cb6", "image_1": "Perception/single/caa7fae1-d3f1-4b29-86fe-d8d3cd958cb6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "17ac820b-680c-4587-b2c3-70d8b0f15553", "image_1": "Perception/single/17ac820b-680c-4587-b2c3-70d8b0f15553_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e211975a-a5b8-49bc-8b21-fb552a8da762", "image_1": "Perception/single/e211975a-a5b8-49bc-8b21-fb552a8da762_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d8180dc2-0e52-40c2-acd6-c48980cb7840", "image_1": "Perception/single/d8180dc2-0e52-40c2-acd6-c48980cb7840_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "8646a6cd-f0ce-431c-b553-14265c4cabd1", "image_1": "Perception/single/8646a6cd-f0ce-431c-b553-14265c4cabd1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c761bf61-f85d-405b-8c2a-ee3b08ac9b60", "image_1": "Perception/single/c761bf61-f85d-405b-8c2a-ee3b08ac9b60_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "dfe160ce-a0ab-4210-b5e9-3eddc9b92081", "image_1": "Perception/single/dfe160ce-a0ab-4210-b5e9-3eddc9b92081_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f7074c8d-252f-4e30-98bf-e6f5ece494d4", "image_1": "Perception/single/f7074c8d-252f-4e30-98bf-e6f5ece494d4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "dc665928-1608-4429-ad1e-d9d9b071128d", "image_1": "Perception/single/dc665928-1608-4429-ad1e-d9d9b071128d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "736f42d5-892b-40a4-9dc6-69efe5dc0113", "image_1": "Perception/single/736f42d5-892b-40a4-9dc6-69efe5dc0113_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a72d9f18-a524-4ad5-a629-fe339b9c9dff", "image_1": "Perception/single/a72d9f18-a524-4ad5-a629-fe339b9c9dff_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "87491cb9-fd87-4fb7-86c5-d38c60b64cb7", "image_1": "Perception/single/87491cb9-fd87-4fb7-86c5-d38c60b64cb7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ef8ca7a4-200a-46a7-a3d8-a04bff0489cf", "image_1": "Perception/single/ef8ca7a4-200a-46a7-a3d8-a04bff0489cf_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "3d22d4c4-5db0-449a-93f0-351bca5c8a67", "image_1": "Perception/single/3d22d4c4-5db0-449a-93f0-351bca5c8a67_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "1f808261-aea8-4a84-b352-660a61d9f155", "image_1": "Perception/single/1f808261-aea8-4a84-b352-660a61d9f155_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e2318cda-9da0-4b83-9d8c-ea5f7efa0f6e", "image_1": "Perception/single/e2318cda-9da0-4b83-9d8c-ea5f7efa0f6e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5bc71b51-4c25-4a9a-88f0-197c06e9e53d", "image_1": "Perception/single/5bc71b51-4c25-4a9a-88f0-197c06e9e53d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d2765e4c-7d60-4757-9583-7b154385690a", "image_1": "Perception/single/d2765e4c-7d60-4757-9583-7b154385690a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "19c12c7c-d98c-4866-9914-faa17c2d6de5", "image_1": "Perception/single/19c12c7c-d98c-4866-9914-faa17c2d6de5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e695df4c-915d-4497-8f4b-b8dc541fbf44", "image_1": "Perception/single/e695df4c-915d-4497-8f4b-b8dc541fbf44_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d13214c6-3102-44c4-bf5e-d61e3a37593b", "image_1": "Perception/single/d13214c6-3102-44c4-bf5e-d61e3a37593b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f7684290-9d53-4f0a-bda8-7da77e77f7d3", "image_1": "Perception/single/f7684290-9d53-4f0a-bda8-7da77e77f7d3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ae28e10f-4354-4d92-8aca-96ffbd44f552", "image_1": "Perception/single/ae28e10f-4354-4d92-8aca-96ffbd44f552_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "50ce940e-f3d4-4a80-9084-4d3b9bdfdca2", "image_1": "Perception/single/50ce940e-f3d4-4a80-9084-4d3b9bdfdca2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3797d7fe-8290-474b-863d-52a69268ca8b", "image_1": "Perception/single/3797d7fe-8290-474b-863d-52a69268ca8b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "89a164b4-dd1d-4f1a-879b-98fca106a85f", "image_1": "Perception/single/89a164b4-dd1d-4f1a-879b-98fca106a85f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c8b5d3ce-fbb7-4936-be0d-a6b2a5f17286", "image_1": "Perception/single/c8b5d3ce-fbb7-4936-be0d-a6b2a5f17286_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "5459cbbe-a67b-4854-8f62-071abdc65703", "image_1": "Perception/single/5459cbbe-a67b-4854-8f62-071abdc65703_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f97ccd3f-b1d4-4c0e-b40f-e485a413ce18", "image_1": "Perception/single/f97ccd3f-b1d4-4c0e-b40f-e485a413ce18_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "87086497-df60-4d26-aab0-d210123a5ef7", "image_1": "Perception/single/87086497-df60-4d26-aab0-d210123a5ef7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "44bc77c3-c8f6-4224-a519-cdb0df27359e", "image_1": "Perception/single/44bc77c3-c8f6-4224-a519-cdb0df27359e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "21dc4049-da7b-4f56-8a83-880708235d59", "image_1": "Perception/single/21dc4049-da7b-4f56-8a83-880708235d59_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "7e16eea8-c820-4153-8f7a-b9867d83ced3", "image_1": "Perception/single/7e16eea8-c820-4153-8f7a-b9867d83ced3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "cdcb37c3-7882-4a74-9e50-68841b932bd6", "image_1": "Perception/single/cdcb37c3-7882-4a74-9e50-68841b932bd6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2b71788e-7247-4579-bc89-f33999912c27", "image_1": "Perception/single/2b71788e-7247-4579-bc89-f33999912c27_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2797e85f-8c9c-45fb-8fe4-3af34f0f0e0d", "image_1": "Perception/single/2797e85f-8c9c-45fb-8fe4-3af34f0f0e0d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c3b27aa4-acb5-4689-983a-ca31f774a922", "image_1": "Perception/single/c3b27aa4-acb5-4689-983a-ca31f774a922_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "29736b39-1e05-4910-98e2-cf0f0a6d85bc", "image_1": "Perception/single/29736b39-1e05-4910-98e2-cf0f0a6d85bc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b3d30f27-4d2a-469f-b326-6353d7caa317", "image_1": "Perception/single/b3d30f27-4d2a-469f-b326-6353d7caa317_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "ac5c8c9f-ea06-4f87-8687-4444af2eb74b", "image_1": "Perception/single/ac5c8c9f-ea06-4f87-8687-4444af2eb74b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "deb09cde-93ae-4f81-8f8c-5ab96dddb86c", "image_1": "Perception/single/deb09cde-93ae-4f81-8f8c-5ab96dddb86c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "1c538475-750a-4aee-8a6f-6be7f1dc6e1e", "image_1": "Perception/single/1c538475-750a-4aee-8a6f-6be7f1dc6e1e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "64efaf7f-8ef5-4924-8121-c161817a13bb", "image_1": "Perception/single/64efaf7f-8ef5-4924-8121-c161817a13bb_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "023b9582-428f-46fe-b893-f491c2f55ca1", "image_1": "Perception/single/023b9582-428f-46fe-b893-f491c2f55ca1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "91953a95-5f38-45f1-97eb-1906a5f902ac", "image_1": "Perception/single/91953a95-5f38-45f1-97eb-1906a5f902ac_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "e5ba620a-df11-4c21-af83-bcfe3ff566c0", "image_1": "Perception/single/e5ba620a-df11-4c21-af83-bcfe3ff566c0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0ce3ebdd-72ab-48cb-8afb-165689342126", "image_1": "Perception/single/0ce3ebdd-72ab-48cb-8afb-165689342126_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "8776cc73-f949-44eb-bf71-b2b376d5944f", "image_1": "Perception/single/8776cc73-f949-44eb-bf71-b2b376d5944f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "1b508465-5c3b-4b59-8c5b-10d3513e5e6b", "image_1": "Perception/single/1b508465-5c3b-4b59-8c5b-10d3513e5e6b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "603da48d-1c0c-4aa8-ac7d-6ad48d37631b", "image_1": "Perception/single/603da48d-1c0c-4aa8-ac7d-6ad48d37631b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "fd638e3b-8c11-48ad-95ae-020735020192", "image_1": "Perception/single/fd638e3b-8c11-48ad-95ae-020735020192_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "bbd834d4-f078-4d37-99d1-a2c2a0783271", "image_1": "Perception/single/bbd834d4-f078-4d37-99d1-a2c2a0783271_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "92d38ca6-eaee-4764-823b-6fb630014edc", "image_1": "Perception/single/92d38ca6-eaee-4764-823b-6fb630014edc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "17c0f1cd-0b75-46b3-81e5-0c5f2923ab9f", "image_1": "Perception/single/17c0f1cd-0b75-46b3-81e5-0c5f2923ab9f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "43403d3c-9ba7-4b2c-af1b-80927ae9581d", "image_1": "Perception/single/43403d3c-9ba7-4b2c-af1b-80927ae9581d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3d26e2b0-3957-4986-b3c0-9f4104670bcd", "image_1": "Perception/single/3d26e2b0-3957-4986-b3c0-9f4104670bcd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "3d36e683-747e-45d7-bf39-3a8377c5b9c5", "image_1": "Perception/single/3d36e683-747e-45d7-bf39-3a8377c5b9c5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "923ae2b7-3c9c-4592-a3a6-2cb51b7aec33", "image_1": "Perception/single/923ae2b7-3c9c-4592-a3a6-2cb51b7aec33_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "95f36ed4-a1f1-42f5-b4d3-5f1a5d3a0208", "image_1": "Perception/single/95f36ed4-a1f1-42f5-b4d3-5f1a5d3a0208_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "53af85d7-992f-45e9-b2be-276d66c561ed", "image_1": "Perception/single/53af85d7-992f-45e9-b2be-276d66c561ed_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "632c25c7-3617-4960-9886-a33e93551ac9", "image_1": "Perception/single/632c25c7-3617-4960-9886-a33e93551ac9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "63cb61bb-2249-47d2-8844-33531bd6f12c", "image_1": "Perception/single/63cb61bb-2249-47d2-8844-33531bd6f12c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "93ef318a-8ca7-4c8e-ad55-357a6ab5c103", "image_1": "Perception/single/93ef318a-8ca7-4c8e-ad55-357a6ab5c103_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8a87752a-0057-4580-9541-970d20d55e64", "image_1": "Perception/single/8a87752a-0057-4580-9541-970d20d55e64_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ec78311f-b8d1-419c-8bcf-2a30fde89131", "image_1": "Perception/single/ec78311f-b8d1-419c-8bcf-2a30fde89131_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ff62cb00-02a0-4082-9eb9-ccd102590874", "image_1": "Perception/single/ff62cb00-02a0-4082-9eb9-ccd102590874_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7341ef3f-a6aa-4181-aa87-966630518692", "image_1": "Perception/single/7341ef3f-a6aa-4181-aa87-966630518692_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e4b66d0d-9b63-4f69-a9bd-041d54f150be", "image_1": "Perception/single/e4b66d0d-9b63-4f69-a9bd-041d54f150be_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8d0769a4-7e0f-4fa3-8877-5930b278506c", "image_1": "Perception/single/8d0769a4-7e0f-4fa3-8877-5930b278506c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f0165824-d57c-4fcf-8f44-cf552bd16746", "image_1": "Perception/single/f0165824-d57c-4fcf-8f44-cf552bd16746_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "bd58f683-f792-47b5-bd52-8e758c6cedcf", "image_1": "Perception/single/bd58f683-f792-47b5-bd52-8e758c6cedcf_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a7ef00f6-7510-4edb-bc60-921e25b2a665", "image_1": "Perception/single/a7ef00f6-7510-4edb-bc60-921e25b2a665_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "425512a1-acc4-42bd-802e-28a05554c07f", "image_1": "Perception/single/425512a1-acc4-42bd-802e-28a05554c07f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0650b5c8-f934-43b7-a5df-429624b0bd78", "image_1": "Perception/single/0650b5c8-f934-43b7-a5df-429624b0bd78_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "9085ab1f-00d2-4233-aefb-3aaa52bfbf70", "image_1": "Perception/single/9085ab1f-00d2-4233-aefb-3aaa52bfbf70_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "7525bea7-aa1d-4070-aab6-50d9e1b511d1", "image_1": "Perception/single/7525bea7-aa1d-4070-aab6-50d9e1b511d1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1dc4c1c0-3141-4db2-949f-ad4b5d7ede4b", "image_1": "Perception/single/1dc4c1c0-3141-4db2-949f-ad4b5d7ede4b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "107425ae-f7f3-41ba-9745-289d0a66e4fd", "image_1": "Perception/single/107425ae-f7f3-41ba-9745-289d0a66e4fd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "447ddba6-63cc-4502-afd1-841af41f1cc4", "image_1": "Perception/single/447ddba6-63cc-4502-afd1-841af41f1cc4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "2300ed2a-f73c-4777-ac6d-b612acdb0963", "image_1": "Perception/single/2300ed2a-f73c-4777-ac6d-b612acdb0963_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7a16101e-9b41-4a8f-8cbf-dde9c40e3f69", "image_1": "Perception/single/7a16101e-9b41-4a8f-8cbf-dde9c40e3f69_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "a18e9836-3ee6-499c-a682-de468732a0b5", "image_1": "Perception/single/a18e9836-3ee6-499c-a682-de468732a0b5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5c03c63b-2cf0-4fe8-9f25-e8b0ea9a362a", "image_1": "Perception/single/5c03c63b-2cf0-4fe8-9f25-e8b0ea9a362a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "33517a1f-9fda-4a8f-ae45-7173f0709954", "image_1": "Perception/single/33517a1f-9fda-4a8f-ae45-7173f0709954_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c564cec0-ca1e-456d-9c7b-24270f850536", "image_1": "Perception/single/c564cec0-ca1e-456d-9c7b-24270f850536_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "8aea3daf-1cab-4564-8eca-81de186e5856", "image_1": "Perception/single/8aea3daf-1cab-4564-8eca-81de186e5856_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "7da3f89c-37a1-49e9-a358-67251f25c35c", "image_1": "Perception/single/7da3f89c-37a1-49e9-a358-67251f25c35c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "ab7477ce-0ffc-4885-ab65-df8414fec520", "image_1": "Perception/single/ab7477ce-0ffc-4885-ab65-df8414fec520_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "e2e9e54c-0a8b-4159-a489-7bfe5b57f463", "image_1": "Perception/single/e2e9e54c-0a8b-4159-a489-7bfe5b57f463_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "de753110-d6b1-47da-b926-a90bfdc4a5d4", "image_1": "Perception/single/de753110-d6b1-47da-b926-a90bfdc4a5d4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1ecce765-97a5-44fe-bd8e-e9d1a707d8f6", "image_1": "Perception/single/1ecce765-97a5-44fe-bd8e-e9d1a707d8f6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c7e27bf1-1f23-44a6-9f12-ee590a158cdc", "image_1": "Perception/single/c7e27bf1-1f23-44a6-9f12-ee590a158cdc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "094d48ee-78c9-46bc-96bd-9ba793678a97", "image_1": "Perception/single/094d48ee-78c9-46bc-96bd-9ba793678a97_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "56702ac8-76a9-4b58-85f7-bc71a56909d7", "image_1": "Perception/single/56702ac8-76a9-4b58-85f7-bc71a56909d7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3efe452d-d0f3-4415-9c79-4dcd57f43e9b", "image_1": "Perception/single/3efe452d-d0f3-4415-9c79-4dcd57f43e9b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5d71589e-5f1b-4ce9-9813-662452daff6d", "image_1": "Perception/single/5d71589e-5f1b-4ce9-9813-662452daff6d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5266d433-8b8c-4eca-9c0c-8d42a3462dfd", "image_1": "Perception/single/5266d433-8b8c-4eca-9c0c-8d42a3462dfd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "4c8d27d2-64f7-47d3-bfa3-276ea4f57115", "image_1": "Perception/single/4c8d27d2-64f7-47d3-bfa3-276ea4f57115_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "cd5596d6-14d0-4768-ba46-41f7ddc5a8df", "image_1": "Perception/single/cd5596d6-14d0-4768-ba46-41f7ddc5a8df_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "dcd1f0c8-93c5-4448-b991-a3e84d1b9aba", "image_1": "Perception/single/dcd1f0c8-93c5-4448-b991-a3e84d1b9aba_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2846aac2-d56a-4757-a497-f04f59c544b3", "image_1": "Perception/single/2846aac2-d56a-4757-a497-f04f59c544b3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ff78724a-550a-4b0d-be79-83e70fe1a071", "image_1": "Perception/single/ff78724a-550a-4b0d-be79-83e70fe1a071_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "aaf2a966-e7d2-4827-bd8b-75d5a33ce9db", "image_1": "Perception/single/aaf2a966-e7d2-4827-bd8b-75d5a33ce9db_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "62fb779c-e054-4368-91f3-6d40baeeabbb", "image_1": "Perception/single/62fb779c-e054-4368-91f3-6d40baeeabbb_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "85e4470e-ebff-4afd-a05c-39b80adc4a5e", "image_1": "Perception/single/85e4470e-ebff-4afd-a05c-39b80adc4a5e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "4a1f775c-d831-44e8-a117-8db7610cab9b", "image_1": "Perception/single/4a1f775c-d831-44e8-a117-8db7610cab9b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "2234aa9f-1480-493d-acf4-751f4410f2f3", "image_1": "Perception/single/2234aa9f-1480-493d-acf4-751f4410f2f3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "aa781235-28f1-4948-a17f-847c0707a391", "image_1": "Perception/single/aa781235-28f1-4948-a17f-847c0707a391_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "9d88418c-f7bb-4be8-9daf-757edb1dfc73", "image_1": "Perception/single/9d88418c-f7bb-4be8-9daf-757edb1dfc73_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "706e1c43-80cb-4518-bb06-061f24f0f79b", "image_1": "Perception/single/706e1c43-80cb-4518-bb06-061f24f0f79b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "21b7da40-f72e-4872-be42-0d440a4ce50d", "image_1": "Perception/single/21b7da40-f72e-4872-be42-0d440a4ce50d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "fb2549d3-29f3-4ab9-b21c-b237e5a17c9e", "image_1": "Perception/single/fb2549d3-29f3-4ab9-b21c-b237e5a17c9e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e047ce7a-25e6-4823-839d-f2fc598736a7", "image_1": "Perception/single/e047ce7a-25e6-4823-839d-f2fc598736a7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "aa996d12-81bd-4d84-a48b-d74ed98d18c4", "image_1": "Perception/single/aa996d12-81bd-4d84-a48b-d74ed98d18c4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "86b3561d-602c-4c11-9192-74f70d283ad0", "image_1": "Perception/single/86b3561d-602c-4c11-9192-74f70d283ad0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e10c4856-f00f-4fbe-9cbc-cd982e38db00", "image_1": "Perception/single/e10c4856-f00f-4fbe-9cbc-cd982e38db00_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "224537f6-cb95-4c61-9111-c1124be45efd", "image_1": "Perception/single/224537f6-cb95-4c61-9111-c1124be45efd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "1963e269-1bc5-448f-93ae-113c0884e8f5", "image_1": "Perception/single/1963e269-1bc5-448f-93ae-113c0884e8f5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5f8fd932-1d93-436e-8350-dc7adbf5be9e", "image_1": "Perception/single/5f8fd932-1d93-436e-8350-dc7adbf5be9e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e0863a61-4ba3-49c8-914a-6737fd378f85", "image_1": "Perception/single/e0863a61-4ba3-49c8-914a-6737fd378f85_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d132eb91-1d6c-4820-b3eb-7f168436f2b6", "image_1": "Perception/single/d132eb91-1d6c-4820-b3eb-7f168436f2b6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "408f331e-c279-4c22-9772-1df69b72d615", "image_1": "Perception/single/408f331e-c279-4c22-9772-1df69b72d615_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d27c27a3-b674-42e1-b8ca-a10179e9fff4", "image_1": "Perception/single/d27c27a3-b674-42e1-b8ca-a10179e9fff4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "3d230b91-56e3-49df-a5b7-c34925ca2393", "image_1": "Perception/single/3d230b91-56e3-49df-a5b7-c34925ca2393_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "77ab4fd4-a68c-4305-9277-3da33ab1616d", "image_1": "Perception/single/77ab4fd4-a68c-4305-9277-3da33ab1616d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1a54c99d-1e62-42ed-823a-c5c1c7cf4e0f", "image_1": "Perception/single/1a54c99d-1e62-42ed-823a-c5c1c7cf4e0f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "f34a0300-b4bb-4a9f-b20f-b60fa7ae86f4", "image_1": "Perception/single/f34a0300-b4bb-4a9f-b20f-b60fa7ae86f4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "31556af5-f610-4394-b783-61dcbc9a4e0f", "image_1": "Perception/single/31556af5-f610-4394-b783-61dcbc9a4e0f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c175f885-2b47-4027-8a43-d188ba635ee3", "image_1": "Perception/single/c175f885-2b47-4027-8a43-d188ba635ee3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "1730e706-cafb-457d-8bbc-d135a2fb15b8", "image_1": "Perception/single/1730e706-cafb-457d-8bbc-d135a2fb15b8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f15caf84-651b-4254-a736-5ae5836e7525", "image_1": "Perception/single/f15caf84-651b-4254-a736-5ae5836e7525_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "33cd3e22-22d7-45d7-9910-2829c2fa854a", "image_1": "Perception/single/33cd3e22-22d7-45d7-9910-2829c2fa854a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "21ec551d-258c-4b44-86a3-737f579c803b", "image_1": "Perception/single/21ec551d-258c-4b44-86a3-737f579c803b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "819b845a-ef17-4a93-94b1-6ad5e3b662a8", "image_1": "Perception/single/819b845a-ef17-4a93-94b1-6ad5e3b662a8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8b317d29-a36b-4e6d-8a0f-d94aee0684d6", "image_1": "Perception/single/8b317d29-a36b-4e6d-8a0f-d94aee0684d6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "40c51efb-ca85-4335-b85b-3e2445ec623b", "image_1": "Perception/single/40c51efb-ca85-4335-b85b-3e2445ec623b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5a8c4925-7af3-4396-ae84-34e0b01aa1b0", "image_1": "Perception/single/5a8c4925-7af3-4396-ae84-34e0b01aa1b0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "da3a2a76-c934-4363-985f-40db5994bdb0", "image_1": "Perception/single/da3a2a76-c934-4363-985f-40db5994bdb0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "9dc2f7cd-8a0f-4f5b-ba2c-f09772ca9d09", "image_1": "Perception/single/9dc2f7cd-8a0f-4f5b-ba2c-f09772ca9d09_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "02f34ed3-eb25-45ba-8a40-5df6853a163d", "image_1": "Perception/single/02f34ed3-eb25-45ba-8a40-5df6853a163d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "d1daad0e-6401-4bee-9f49-f1ca009602cd", "image_1": "Perception/single/d1daad0e-6401-4bee-9f49-f1ca009602cd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b08aee7b-1b76-4a16-b45e-e58e61e901b8", "image_1": "Perception/single/b08aee7b-1b76-4a16-b45e-e58e61e901b8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c32f3de1-2b5a-4991-9356-e4a31da7806b", "image_1": "Perception/single/c32f3de1-2b5a-4991-9356-e4a31da7806b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9b7e1c74-07f5-4e2a-b7a3-58073ec2f274", "image_1": "Perception/single/9b7e1c74-07f5-4e2a-b7a3-58073ec2f274_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "52117cd4-c50a-4f5a-9100-c21cf784df9e", "image_1": "Perception/single/52117cd4-c50a-4f5a-9100-c21cf784df9e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "428953a4-e519-493f-8db8-fcabc6b03c58", "image_1": "Perception/single/428953a4-e519-493f-8db8-fcabc6b03c58_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ab5388c7-2ee5-4a66-aaf2-249334abad31", "image_1": "Perception/single/ab5388c7-2ee5-4a66-aaf2-249334abad31_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "042ac92b-ad4b-4f7f-8746-cd12c84b124e", "image_1": "Perception/single/042ac92b-ad4b-4f7f-8746-cd12c84b124e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "5d3dbed6-231a-4fd3-8b21-7a4518b694fd", "image_1": "Perception/single/5d3dbed6-231a-4fd3-8b21-7a4518b694fd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1e7669a0-f68e-477f-a165-a7eed7ee2b00", "image_1": "Perception/single/1e7669a0-f68e-477f-a165-a7eed7ee2b00_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a3eb7975-f616-47e6-be6b-5d897a8b315a", "image_1": "Perception/single/a3eb7975-f616-47e6-be6b-5d897a8b315a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3348d6d7-bdc2-4937-81f6-63d2ff910335", "image_1": "Perception/single/3348d6d7-bdc2-4937-81f6-63d2ff910335_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "115be429-18b5-43ff-93d6-efc93d29f1fb", "image_1": "Perception/single/115be429-18b5-43ff-93d6-efc93d29f1fb_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7594e304-d7df-4dfb-b53d-ece818a084ce", "image_1": "Perception/single/7594e304-d7df-4dfb-b53d-ece818a084ce_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5fb4db40-5082-439a-b571-621701c138f0", "image_1": "Perception/single/5fb4db40-5082-439a-b571-621701c138f0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "33c8f85b-df6e-49ed-8b14-7c927b3dc89b", "image_1": "Perception/single/33c8f85b-df6e-49ed-8b14-7c927b3dc89b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c6167e82-5db5-4e70-bd18-022911badfd6", "image_1": "Perception/single/c6167e82-5db5-4e70-bd18-022911badfd6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "7bb97820-5455-45f3-961d-358a75fa461e", "image_1": "Perception/single/7bb97820-5455-45f3-961d-358a75fa461e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "62ecb832-7794-4a53-acb2-a4d3d8a45c43", "image_1": "Perception/single/62ecb832-7794-4a53-acb2-a4d3d8a45c43_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5c49d7a7-b55d-4e99-938f-ae4ada68dd42", "image_1": "Perception/single/5c49d7a7-b55d-4e99-938f-ae4ada68dd42_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2a53103c-5aa8-4e03-b61d-bfb6d0749851", "image_1": "Perception/single/2a53103c-5aa8-4e03-b61d-bfb6d0749851_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "6982e3c9-a071-4af2-97c5-107249ad92c7", "image_1": "Perception/single/6982e3c9-a071-4af2-97c5-107249ad92c7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a6997cf6-d05c-4287-8466-15f5a6a8c2fb", "image_1": "Perception/single/a6997cf6-d05c-4287-8466-15f5a6a8c2fb_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "0db3d846-dcc7-4bf5-8aa7-8faffd7c4343", "image_1": "Perception/single/0db3d846-dcc7-4bf5-8aa7-8faffd7c4343_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "4c854a3c-0438-460e-b9f1-84af6d25d613", "image_1": "Perception/single/4c854a3c-0438-460e-b9f1-84af6d25d613_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "fd5194c9-b3d8-4ea7-9b77-92d8d5288b29", "image_1": "Perception/single/fd5194c9-b3d8-4ea7-9b77-92d8d5288b29_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c7ce1c87-c297-4a3e-aaac-302a869df7a0", "image_1": "Perception/single/c7ce1c87-c297-4a3e-aaac-302a869df7a0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "cb23bcc1-eecf-4520-9289-f6ed4398e0ef", "image_1": "Perception/single/cb23bcc1-eecf-4520-9289-f6ed4398e0ef_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "6edd6922-cee9-4d43-8bbb-cf56b7b016fd", "image_1": "Perception/single/6edd6922-cee9-4d43-8bbb-cf56b7b016fd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "86d32897-5f9b-41e1-9eee-f3bb1b3f5bd1", "image_1": "Perception/single/86d32897-5f9b-41e1-9eee-f3bb1b3f5bd1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "698c2c56-938b-4026-8a2f-200f2aa5892a", "image_1": "Perception/single/698c2c56-938b-4026-8a2f-200f2aa5892a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3500233e-2ac3-4c20-b215-d064e41bd45c", "image_1": "Perception/single/3500233e-2ac3-4c20-b215-d064e41bd45c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "570271cf-de1a-42e4-abb8-2c20aeb8e50f", "image_1": "Perception/single/570271cf-de1a-42e4-abb8-2c20aeb8e50f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e5603c83-92ad-4df3-bfca-d2905e10876d", "image_1": "Perception/single/e5603c83-92ad-4df3-bfca-d2905e10876d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "25a29363-4371-4e85-831e-189311e1bd39", "image_1": "Perception/single/25a29363-4371-4e85-831e-189311e1bd39_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e17ee1d3-06d0-4d13-9eea-9618e6027ed2", "image_1": "Perception/single/e17ee1d3-06d0-4d13-9eea-9618e6027ed2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d6990b97-76fa-448d-b32b-d2fa88c87c44", "image_1": "Perception/single/d6990b97-76fa-448d-b32b-d2fa88c87c44_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "b3523604-76ff-4f80-9cba-ca7e4a5e3455", "image_1": "Perception/single/b3523604-76ff-4f80-9cba-ca7e4a5e3455_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "eb72f546-9085-4bf6-a613-a2e5de4559ac", "image_1": "Perception/single/eb72f546-9085-4bf6-a613-a2e5de4559ac_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "267a353c-2274-4e52-8b58-87f36c423cdd", "image_1": "Perception/single/267a353c-2274-4e52-8b58-87f36c423cdd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0c0a8972-66a7-4ac0-8286-55c511e96d0e", "image_1": "Perception/single/0c0a8972-66a7-4ac0-8286-55c511e96d0e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0965e321-e782-4f23-bd18-c3ca3fc3a315", "image_1": "Perception/single/0965e321-e782-4f23-bd18-c3ca3fc3a315_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d7a04871-55d4-4e87-8283-c1098366a862", "image_1": "Perception/single/d7a04871-55d4-4e87-8283-c1098366a862_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "dc1d9985-e68e-47a6-955d-8af8217349f9", "image_1": "Perception/single/dc1d9985-e68e-47a6-955d-8af8217349f9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "acea334b-f19a-41bd-b0e2-0c37825ef404", "image_1": "Perception/single/acea334b-f19a-41bd-b0e2-0c37825ef404_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "b60130c8-7887-4b49-a10d-f662fa2f84ec", "image_1": "Perception/single/b60130c8-7887-4b49-a10d-f662fa2f84ec_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "b361316a-9093-483b-9a11-7a0da36597e9", "image_1": "Perception/single/b361316a-9093-483b-9a11-7a0da36597e9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "10301f50-fb35-4804-bf0f-2932d1660060", "image_1": "Perception/single/10301f50-fb35-4804-bf0f-2932d1660060_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "f94d20d5-a5a8-4ddb-a7a0-dbee19ab0c26", "image_1": "Perception/single/f94d20d5-a5a8-4ddb-a7a0-dbee19ab0c26_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "8b642c27-3ec7-4957-a410-a8acdbcc9968", "image_1": "Perception/single/8b642c27-3ec7-4957-a410-a8acdbcc9968_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "2ff95b42-b26c-4e49-901e-d92c059c35c7", "image_1": "Perception/single/2ff95b42-b26c-4e49-901e-d92c059c35c7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "f27d5b5f-59bb-4686-8adc-8c8756fdc9b4", "image_1": "Perception/single/f27d5b5f-59bb-4686-8adc-8c8756fdc9b4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3c2a190a-61a6-4898-bdde-8d19cd4322db", "image_1": "Perception/single/3c2a190a-61a6-4898-bdde-8d19cd4322db_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "19d7e32e-0564-44a9-95c4-1be769cad4cf", "image_1": "Perception/single/19d7e32e-0564-44a9-95c4-1be769cad4cf_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "74c3aedc-c3c9-44e8-a8ce-056595683c5e", "image_1": "Perception/single/74c3aedc-c3c9-44e8-a8ce-056595683c5e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "13faccb7-5455-48f0-abf8-4c20d8d73a7e", "image_1": "Perception/single/13faccb7-5455-48f0-abf8-4c20d8d73a7e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "94f31d31-6d19-4580-9094-7cc47777e79c", "image_1": "Perception/single/94f31d31-6d19-4580-9094-7cc47777e79c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "aab0b2a2-06ef-449f-9559-484e16098169", "image_1": "Perception/single/aab0b2a2-06ef-449f-9559-484e16098169_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "531d0d9c-a0d1-4ca2-92b3-892021d35481", "image_1": "Perception/single/531d0d9c-a0d1-4ca2-92b3-892021d35481_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "3331998e-2b51-416a-9537-c8801227ee3e", "image_1": "Perception/single/3331998e-2b51-416a-9537-c8801227ee3e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7ae16204-80b0-4f95-884f-889c6afeae34", "image_1": "Perception/single/7ae16204-80b0-4f95-884f-889c6afeae34_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e4c351bb-e9f7-4527-aa42-b2b5acd36677", "image_1": "Perception/single/e4c351bb-e9f7-4527-aa42-b2b5acd36677_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c6aa46c0-17e1-4834-bad2-f8be95ba0264", "image_1": "Perception/single/c6aa46c0-17e1-4834-bad2-f8be95ba0264_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "bbd41ff6-4519-4941-93db-52d9932e1e6d", "image_1": "Perception/single/bbd41ff6-4519-4941-93db-52d9932e1e6d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f8c610e0-72c2-4c44-829f-f50788bf700d", "image_1": "Perception/single/f8c610e0-72c2-4c44-829f-f50788bf700d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "81f4e793-3021-4967-b05a-0455b6a54dd3", "image_1": "Perception/single/81f4e793-3021-4967-b05a-0455b6a54dd3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "9a0061f9-01fc-4406-bc1b-aeb8604bc435", "image_1": "Perception/single/9a0061f9-01fc-4406-bc1b-aeb8604bc435_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "21a90890-60fe-40c8-807f-b6287e0e7c7f", "image_1": "Perception/single/21a90890-60fe-40c8-807f-b6287e0e7c7f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c9045c4e-a14a-437e-8e40-d106cee123a1", "image_1": "Perception/single/c9045c4e-a14a-437e-8e40-d106cee123a1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c159e40e-a31e-4f30-9d33-d73ef6ff283a", "image_1": "Perception/single/c159e40e-a31e-4f30-9d33-d73ef6ff283a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "dc4383d1-2e9b-44fa-88be-1f89469b03b7", "image_1": "Perception/single/dc4383d1-2e9b-44fa-88be-1f89469b03b7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "7185c066-5c21-4bf3-84c2-0c00e25d1b12", "image_1": "Perception/single/7185c066-5c21-4bf3-84c2-0c00e25d1b12_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "9d37a1fd-713b-4862-af33-45f7a94d0137", "image_1": "Perception/single/9d37a1fd-713b-4862-af33-45f7a94d0137_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "58770bc4-736e-4723-9fc7-8d1baecf7b06", "image_1": "Perception/single/58770bc4-736e-4723-9fc7-8d1baecf7b06_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "9217eb41-b822-4eba-849d-2943a79aa87e", "image_1": "Perception/single/9217eb41-b822-4eba-849d-2943a79aa87e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "67b5e082-7050-498b-9394-0ffe573bdd9f", "image_1": "Perception/single/67b5e082-7050-498b-9394-0ffe573bdd9f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a78dcfb0-0cee-4748-a2b6-56236b380d54", "image_1": "Perception/single/a78dcfb0-0cee-4748-a2b6-56236b380d54_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0f8c1857-bc9d-4c98-bcc0-2add92993917", "image_1": "Perception/single/0f8c1857-bc9d-4c98-bcc0-2add92993917_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2f312667-79ac-4c9b-bd33-cc0d9118b22e", "image_1": "Perception/single/2f312667-79ac-4c9b-bd33-cc0d9118b22e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "8b4256a7-06ad-46be-96f8-2bce5df717a1", "image_1": "Perception/single/8b4256a7-06ad-46be-96f8-2bce5df717a1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "16f2d230-9fa5-4f89-91e1-9231f8280a3c", "image_1": "Perception/single/16f2d230-9fa5-4f89-91e1-9231f8280a3c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "24dc980e-c090-47ab-8405-de8c5275b91b", "image_1": "Perception/single/24dc980e-c090-47ab-8405-de8c5275b91b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "82072c7f-8f89-439d-bd88-728f51762c7a", "image_1": "Perception/single/82072c7f-8f89-439d-bd88-728f51762c7a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "4be12665-68c4-430f-9452-51081fac7f3c", "image_1": "Perception/single/4be12665-68c4-430f-9452-51081fac7f3c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e5903096-94c6-4549-92f9-dbac3757c438", "image_1": "Perception/single/e5903096-94c6-4549-92f9-dbac3757c438_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c1cf0dec-9614-4b0d-9250-34a712637782", "image_1": "Perception/single/c1cf0dec-9614-4b0d-9250-34a712637782_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ae86af8e-0acf-4bbe-86cb-e54a8e5c1cb3", "image_1": "Perception/single/ae86af8e-0acf-4bbe-86cb-e54a8e5c1cb3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5d84cc97-42b0-49ed-9b2b-7b8e93525d5a", "image_1": "Perception/single/5d84cc97-42b0-49ed-9b2b-7b8e93525d5a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "cb69be7b-b086-43c6-b080-b12b8f32a864", "image_1": "Perception/single/cb69be7b-b086-43c6-b080-b12b8f32a864_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "69e17332-6cb7-456c-976f-8cb4d0a927b0", "image_1": "Perception/single/69e17332-6cb7-456c-976f-8cb4d0a927b0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "380b3cdf-47b5-4920-856a-3764bb460dc9", "image_1": "Perception/single/380b3cdf-47b5-4920-856a-3764bb460dc9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "65a9c101-5400-40ca-a386-816651c0e06e", "image_1": "Perception/single/65a9c101-5400-40ca-a386-816651c0e06e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "5b190746-8140-49d5-989d-ba32b53de5a1", "image_1": "Perception/single/5b190746-8140-49d5-989d-ba32b53de5a1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "926c293c-3100-4987-b843-0486c9896a89", "image_1": "Perception/single/926c293c-3100-4987-b843-0486c9896a89_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "34f9ceab-e7a0-4316-bbba-65e57f2a7a86", "image_1": "Perception/single/34f9ceab-e7a0-4316-bbba-65e57f2a7a86_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e0c209fa-771f-432c-a7b4-8b80c0c4c98e", "image_1": "Perception/single/e0c209fa-771f-432c-a7b4-8b80c0c4c98e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "6acc5aa1-a19a-4e14-b895-53825439bd9f", "image_1": "Perception/single/6acc5aa1-a19a-4e14-b895-53825439bd9f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "ae6fed19-d6ed-4672-9674-a1c0b5c7878e", "image_1": "Perception/single/ae6fed19-d6ed-4672-9674-a1c0b5c7878e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c740176c-7ed1-4625-9644-dac511eebf0f", "image_1": "Perception/single/c740176c-7ed1-4625-9644-dac511eebf0f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2f24cf7e-1a4b-48c3-b044-772262e47e92", "image_1": "Perception/single/2f24cf7e-1a4b-48c3-b044-772262e47e92_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9944ae2a-f424-4d22-ac28-4bddaba1f853", "image_1": "Perception/single/9944ae2a-f424-4d22-ac28-4bddaba1f853_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ac2cbdaa-86c8-4239-b2f3-12ead3b3a0af", "image_1": "Perception/single/ac2cbdaa-86c8-4239-b2f3-12ead3b3a0af_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d7d20b19-78ed-40a6-9407-83e486037226", "image_1": "Perception/single/d7d20b19-78ed-40a6-9407-83e486037226_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "8a54fefd-c17b-40dd-beca-98206b40b2e8", "image_1": "Perception/single/8a54fefd-c17b-40dd-beca-98206b40b2e8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c1752c4c-124e-40c6-9a6a-0e30c16d3ee0", "image_1": "Perception/single/c1752c4c-124e-40c6-9a6a-0e30c16d3ee0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "b8ec1486-37b3-48dd-956c-aa60b6b39144", "image_1": "Perception/single/b8ec1486-37b3-48dd-956c-aa60b6b39144_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "adac7985-d0fc-43a8-b5d0-c1186014409e", "image_1": "Perception/single/adac7985-d0fc-43a8-b5d0-c1186014409e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e1b62a79-ef3d-461b-8a78-96d8446893b9", "image_1": "Perception/single/e1b62a79-ef3d-461b-8a78-96d8446893b9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "106b2e79-2ebc-44e5-9228-32eb2a1299c8", "image_1": "Perception/single/106b2e79-2ebc-44e5-9228-32eb2a1299c8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "7d47007e-7c8a-4232-bcd6-27a60141e108", "image_1": "Perception/single/7d47007e-7c8a-4232-bcd6-27a60141e108_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "24312d08-6e13-4755-8819-fed130e29e56", "image_1": "Perception/single/24312d08-6e13-4755-8819-fed130e29e56_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d4ed8538-5c47-4de0-9fe8-d5e93b767c11", "image_1": "Perception/single/d4ed8538-5c47-4de0-9fe8-d5e93b767c11_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "204a9218-e363-48a9-9b65-46d2f9dd06b2", "image_1": "Perception/single/204a9218-e363-48a9-9b65-46d2f9dd06b2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "137b39ae-7c08-46cc-aa0d-b30e5049d60c", "image_1": "Perception/single/137b39ae-7c08-46cc-aa0d-b30e5049d60c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "519dfe19-e516-46b9-8365-73f63c24a707", "image_1": "Perception/single/519dfe19-e516-46b9-8365-73f63c24a707_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3fcbc492-6b5f-4ad9-8ea3-aa3166d3dcd7", "image_1": "Perception/single/3fcbc492-6b5f-4ad9-8ea3-aa3166d3dcd7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "4e876781-a095-4382-8f5e-2a88817088f8", "image_1": "Perception/single/4e876781-a095-4382-8f5e-2a88817088f8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "81879d17-3e20-4ad8-91d1-4f02865bdb10", "image_1": "Perception/single/81879d17-3e20-4ad8-91d1-4f02865bdb10_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "465dcebf-32bc-4419-a482-7d6230133092", "image_1": "Perception/single/465dcebf-32bc-4419-a482-7d6230133092_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "890fd1d2-7997-4b6c-867d-45d28b45faeb", "image_1": "Perception/single/890fd1d2-7997-4b6c-867d-45d28b45faeb_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "3c1f1b9c-fd53-41e7-9352-501085000b81", "image_1": "Perception/single/3c1f1b9c-fd53-41e7-9352-501085000b81_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "beb70314-d21f-4f65-bf47-3bf8489bfac9", "image_1": "Perception/single/beb70314-d21f-4f65-bf47-3bf8489bfac9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "77eaed06-5d64-460f-bbf2-bc355d811ed8", "image_1": "Perception/single/77eaed06-5d64-460f-bbf2-bc355d811ed8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c2ae9b30-49ca-40af-982f-a97833416f87", "image_1": "Perception/single/c2ae9b30-49ca-40af-982f-a97833416f87_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "1297641c-c3b0-40c1-8782-d42e70054ec3", "image_1": "Perception/single/1297641c-c3b0-40c1-8782-d42e70054ec3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "dfbdab68-5274-4b74-bb46-4a24f29c2e3a", "image_1": "Perception/single/dfbdab68-5274-4b74-bb46-4a24f29c2e3a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "18c53a2a-2fa6-41f7-9083-dc8698bf9a21", "image_1": "Perception/single/18c53a2a-2fa6-41f7-9083-dc8698bf9a21_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "498efaf9-f289-48da-a9d3-1e1b3ce8d74b", "image_1": "Perception/single/498efaf9-f289-48da-a9d3-1e1b3ce8d74b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ec9107cd-fbfc-49e9-9ed3-841cc5bd8177", "image_1": "Perception/single/ec9107cd-fbfc-49e9-9ed3-841cc5bd8177_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5625487a-e822-4e1a-992b-2b3d23974075", "image_1": "Perception/single/5625487a-e822-4e1a-992b-2b3d23974075_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "da35d865-3a1d-4ca7-9b77-3d506328be6d", "image_1": "Perception/single/da35d865-3a1d-4ca7-9b77-3d506328be6d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "6a907862-f030-4438-b647-ec566b8dc94d", "image_1": "Perception/single/6a907862-f030-4438-b647-ec566b8dc94d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1621848b-07e3-44ce-8620-4463cd673c07", "image_1": "Perception/single/1621848b-07e3-44ce-8620-4463cd673c07_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "74f1d7f6-3457-40cd-82f5-75dae6739506", "image_1": "Perception/single/74f1d7f6-3457-40cd-82f5-75dae6739506_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d7d9fb01-86b8-4d05-a2fb-02dc271c5069", "image_1": "Perception/single/d7d9fb01-86b8-4d05-a2fb-02dc271c5069_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e72e031f-83f5-43ad-a738-8710d656ae60", "image_1": "Perception/single/e72e031f-83f5-43ad-a738-8710d656ae60_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "70097e7f-100f-4013-af63-1dbde82c1637", "image_1": "Perception/single/70097e7f-100f-4013-af63-1dbde82c1637_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "e8cdb17f-5b9f-4897-a550-89ee0440f0ea", "image_1": "Perception/single/e8cdb17f-5b9f-4897-a550-89ee0440f0ea_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "3cd498c7-d02e-46fb-8143-d307a5a98dd2", "image_1": "Perception/single/3cd498c7-d02e-46fb-8143-d307a5a98dd2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "30ba1710-61bc-40f1-a8e3-a7da32cc6aec", "image_1": "Perception/single/30ba1710-61bc-40f1-a8e3-a7da32cc6aec_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d5014e3c-e7e2-4a00-b9c7-db06b0bfaab9", "image_1": "Perception/single/d5014e3c-e7e2-4a00-b9c7-db06b0bfaab9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5de16433-c87a-44db-a29f-1fb129c3485d", "image_1": "Perception/single/5de16433-c87a-44db-a29f-1fb129c3485d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "775b558d-82f5-475a-b072-233c3b5db0a0", "image_1": "Perception/single/775b558d-82f5-475a-b072-233c3b5db0a0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e62d4d00-d792-420b-9d11-f8e02d7a8241", "image_1": "Perception/single/e62d4d00-d792-420b-9d11-f8e02d7a8241_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c0730442-6ae6-49f2-91d0-b3a6fbb83918", "image_1": "Perception/single/c0730442-6ae6-49f2-91d0-b3a6fbb83918_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f57ecae7-01a8-49ef-9448-4daa1782974a", "image_1": "Perception/single/f57ecae7-01a8-49ef-9448-4daa1782974a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c4da80ea-67c9-4419-9ead-1f2a2baaa116", "image_1": "Perception/single/c4da80ea-67c9-4419-9ead-1f2a2baaa116_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "12e4cf2f-a050-43aa-b362-e4efdc65c8b0", "image_1": "Perception/single/12e4cf2f-a050-43aa-b362-e4efdc65c8b0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "fdbcc743-f994-4622-bb63-616aae924b1c", "image_1": "Perception/single/fdbcc743-f994-4622-bb63-616aae924b1c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d1604b02-776e-48ee-88f8-875e2e0975d2", "image_1": "Perception/single/d1604b02-776e-48ee-88f8-875e2e0975d2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5a86eb5b-268f-42f7-93ff-e637b854efed", "image_1": "Perception/single/5a86eb5b-268f-42f7-93ff-e637b854efed_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "14117f38-ab2a-43e2-b36c-f00122c557c4", "image_1": "Perception/single/14117f38-ab2a-43e2-b36c-f00122c557c4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "27388c94-990d-47f5-b973-637c819a4bd2", "image_1": "Perception/single/27388c94-990d-47f5-b973-637c819a4bd2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "06cb0316-290b-41b5-afd7-005a57dddf83", "image_1": "Perception/single/06cb0316-290b-41b5-afd7-005a57dddf83_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "6331ec1e-01c2-4f6f-a0c4-98d99863ff2f", "image_1": "Perception/single/6331ec1e-01c2-4f6f-a0c4-98d99863ff2f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "d52dd237-2adc-4ecb-a0d2-cddf98773b69", "image_1": "Perception/single/d52dd237-2adc-4ecb-a0d2-cddf98773b69_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "73761822-c9dd-4fd0-9331-f373c079b261", "image_1": "Perception/single/73761822-c9dd-4fd0-9331-f373c079b261_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5d4e12ca-5aa9-4aa8-8d4c-514d5b32bfe5", "image_1": "Perception/single/5d4e12ca-5aa9-4aa8-8d4c-514d5b32bfe5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "da49f8ec-2e9e-4221-8a02-7b41d81b7885", "image_1": "Perception/single/da49f8ec-2e9e-4221-8a02-7b41d81b7885_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "8200b8df-af72-42bf-a78c-04bc415e75b9", "image_1": "Perception/single/8200b8df-af72-42bf-a78c-04bc415e75b9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "87958a41-42fe-44a9-a6ae-c679048c73e3", "image_1": "Perception/single/87958a41-42fe-44a9-a6ae-c679048c73e3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "56d613f9-9630-4093-980f-181520fb3d25", "image_1": "Perception/single/56d613f9-9630-4093-980f-181520fb3d25_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "f11c335e-c756-40c5-a7b5-e8a849570db3", "image_1": "Perception/single/f11c335e-c756-40c5-a7b5-e8a849570db3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "777ee2d2-0278-4a35-9df2-f43555135978", "image_1": "Perception/single/777ee2d2-0278-4a35-9df2-f43555135978_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2340bf98-aa5c-4d5f-8cb1-017ffa30bb53", "image_1": "Perception/single/2340bf98-aa5c-4d5f-8cb1-017ffa30bb53_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "9c95b81d-ddfb-4145-957f-13e2fa45d32e", "image_1": "Perception/single/9c95b81d-ddfb-4145-957f-13e2fa45d32e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "11901f13-e543-4c71-9690-772c3bf5bbbd", "image_1": "Perception/single/11901f13-e543-4c71-9690-772c3bf5bbbd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3a61300f-b887-421f-93f4-d182ae950789", "image_1": "Perception/single/3a61300f-b887-421f-93f4-d182ae950789_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a010ab5e-d67d-4ee3-9ed5-99ee90ec42fa", "image_1": "Perception/single/a010ab5e-d67d-4ee3-9ed5-99ee90ec42fa_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c1eba15f-51b5-4f28-a542-dd47cb8f3e27", "image_1": "Perception/single/c1eba15f-51b5-4f28-a542-dd47cb8f3e27_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "c20812bf-f168-477e-9f08-d5267266e2a0", "image_1": "Perception/single/c20812bf-f168-477e-9f08-d5267266e2a0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "6a8d3680-3454-495a-9dba-0c3e96fa1f22", "image_1": "Perception/single/6a8d3680-3454-495a-9dba-0c3e96fa1f22_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e75ed81c-fa83-4c33-942d-639fc9b9bcf1", "image_1": "Perception/single/e75ed81c-fa83-4c33-942d-639fc9b9bcf1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "be8c7d8e-a735-4e1d-a793-fe73e98ff0ac", "image_1": "Perception/single/be8c7d8e-a735-4e1d-a793-fe73e98ff0ac_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "6d71f2fe-6d4f-4533-88f6-1c689260556e", "image_1": "Perception/single/6d71f2fe-6d4f-4533-88f6-1c689260556e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8e089bc6-d386-438f-bd57-6e766e522d03", "image_1": "Perception/single/8e089bc6-d386-438f-bd57-6e766e522d03_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f8442257-cf55-467e-9a31-4fa63d585957", "image_1": "Perception/single/f8442257-cf55-467e-9a31-4fa63d585957_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "37dcf8b4-18d4-4545-b231-269cd70b6228", "image_1": "Perception/single/37dcf8b4-18d4-4545-b231-269cd70b6228_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "21273fcd-a5e4-4031-a2ba-c2922cc224d5", "image_1": "Perception/single/21273fcd-a5e4-4031-a2ba-c2922cc224d5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d7f7e5e1-2fb3-4ff9-91e9-46f5e4ba790a", "image_1": "Perception/single/d7f7e5e1-2fb3-4ff9-91e9-46f5e4ba790a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "62d364dd-766d-4782-ad32-dac0ad9dbff9", "image_1": "Perception/single/62d364dd-766d-4782-ad32-dac0ad9dbff9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "09e5ba48-5679-4ae7-981a-2da9282d45f0", "image_1": "Perception/single/09e5ba48-5679-4ae7-981a-2da9282d45f0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e4c2f938-50f3-4ba3-a093-fe1b5e6ea42d", "image_1": "Perception/single/e4c2f938-50f3-4ba3-a093-fe1b5e6ea42d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a4d0b723-c91b-4fb3-a581-18750d0d594f", "image_1": "Perception/single/a4d0b723-c91b-4fb3-a581-18750d0d594f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0656b605-9500-41c8-a4de-104ddb30dedd", "image_1": "Perception/single/0656b605-9500-41c8-a4de-104ddb30dedd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "aff9a113-6e8d-48d7-8c7d-502cc3059933", "image_1": "Perception/single/aff9a113-6e8d-48d7-8c7d-502cc3059933_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f9b19972-9efa-4097-849b-b196b6a234a1", "image_1": "Perception/single/f9b19972-9efa-4097-849b-b196b6a234a1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "42de27cc-9646-414e-b21a-37da2ab7a1fe", "image_1": "Perception/single/42de27cc-9646-414e-b21a-37da2ab7a1fe_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "88a78a96-ea7f-4416-beb1-c0a175ebc39c", "image_1": "Perception/single/88a78a96-ea7f-4416-beb1-c0a175ebc39c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "d7fe7411-b1d8-4cae-81f3-568ef8c2e628", "image_1": "Perception/single/d7fe7411-b1d8-4cae-81f3-568ef8c2e628_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ea1d6843-b5e8-44ff-b3e8-94f8992e0de7", "image_1": "Perception/single/ea1d6843-b5e8-44ff-b3e8-94f8992e0de7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d07d5ab0-b39e-4d07-aaa2-42a156e1512c", "image_1": "Perception/single/d07d5ab0-b39e-4d07-aaa2-42a156e1512c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "2a432214-6843-4787-b940-88094f8dc268", "image_1": "Perception/single/2a432214-6843-4787-b940-88094f8dc268_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "482d7c14-d466-4414-bdfb-f0e67a657e2e", "image_1": "Perception/single/482d7c14-d466-4414-bdfb-f0e67a657e2e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a2f918d8-9f10-4d16-b86f-3ef17f3edef3", "image_1": "Perception/single/a2f918d8-9f10-4d16-b86f-3ef17f3edef3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "04b90aa8-01e6-4d18-93e3-d8591416f756", "image_1": "Perception/single/04b90aa8-01e6-4d18-93e3-d8591416f756_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "17751387-426a-4a7f-957a-261e6c584033", "image_1": "Perception/single/17751387-426a-4a7f-957a-261e6c584033_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "e39eae9e-f972-4b8d-96d8-55ed369b02f1", "image_1": "Perception/single/e39eae9e-f972-4b8d-96d8-55ed369b02f1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "80fae66c-3706-485d-875f-e3ceaccb0fb0", "image_1": "Perception/single/80fae66c-3706-485d-875f-e3ceaccb0fb0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "cd8ef86b-7d05-419b-8922-7c5352b8de00", "image_1": "Perception/single/cd8ef86b-7d05-419b-8922-7c5352b8de00_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "30756f4e-5a79-49a1-abfa-0c996222289f", "image_1": "Perception/single/30756f4e-5a79-49a1-abfa-0c996222289f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "95004079-34e7-4d4a-b0e0-503f393769e1", "image_1": "Perception/single/95004079-34e7-4d4a-b0e0-503f393769e1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "09484af2-27e2-4332-8897-ee26abbf8623", "image_1": "Perception/single/09484af2-27e2-4332-8897-ee26abbf8623_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c171255d-678b-41b1-8555-7823dc740bff", "image_1": "Perception/single/c171255d-678b-41b1-8555-7823dc740bff_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8ed8968c-6a88-451b-a974-f67efb1f9c5f", "image_1": "Perception/single/8ed8968c-6a88-451b-a974-f67efb1f9c5f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "39d9427c-d0df-4f4d-aacc-b2e18bad4cdc", "image_1": "Perception/single/39d9427c-d0df-4f4d-aacc-b2e18bad4cdc_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "acd1c81e-a6ad-4508-9e34-0870c8361455", "image_1": "Perception/single/acd1c81e-a6ad-4508-9e34-0870c8361455_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "10b7e33a-4a64-4dbc-b85b-596b69393ec6", "image_1": "Perception/single/10b7e33a-4a64-4dbc-b85b-596b69393ec6_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "fe21b448-177e-4fc9-acee-f04b12d6d47c", "image_1": "Perception/single/fe21b448-177e-4fc9-acee-f04b12d6d47c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f8bb51c2-7c1c-4d67-a637-3f4fc0d72c0c", "image_1": "Perception/single/f8bb51c2-7c1c-4d67-a637-3f4fc0d72c0c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d4b5271c-f99a-4d2d-a845-cad33b9c5508", "image_1": "Perception/single/d4b5271c-f99a-4d2d-a845-cad33b9c5508_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a579ea01-5fb9-4ac2-baf1-0a93be868a10", "image_1": "Perception/single/a579ea01-5fb9-4ac2-baf1-0a93be868a10_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "29b34c8f-828c-4750-b44c-043870a08015", "image_1": "Perception/single/29b34c8f-828c-4750-b44c-043870a08015_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "febac4b6-fce0-4aa9-976d-7fcc2b479589", "image_1": "Perception/single/febac4b6-fce0-4aa9-976d-7fcc2b479589_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b3b51c51-f333-4b4e-8b54-4767eb2fff79", "image_1": "Perception/single/b3b51c51-f333-4b4e-8b54-4767eb2fff79_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "429b4dd2-2c6d-476a-b36c-11f1f9aeef8d", "image_1": "Perception/single/429b4dd2-2c6d-476a-b36c-11f1f9aeef8d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1409a160-967c-494c-a11c-8c37b4dac80b", "image_1": "Perception/single/1409a160-967c-494c-a11c-8c37b4dac80b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "a92c5d4c-9981-4f4b-a2ec-f7717c64c2cf", "image_1": "Perception/single/a92c5d4c-9981-4f4b-a2ec-f7717c64c2cf_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0c796cbc-c6c6-4722-9b82-dfd5ef65254a", "image_1": "Perception/single/0c796cbc-c6c6-4722-9b82-dfd5ef65254a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "99e5fc9a-d392-4915-8e65-388caed92237", "image_1": "Perception/single/99e5fc9a-d392-4915-8e65-388caed92237_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "bee7e4f3-43fd-43d3-abba-ee2cfcbc17ce", "image_1": "Perception/single/bee7e4f3-43fd-43d3-abba-ee2cfcbc17ce_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "2d0838ba-30c7-4a3d-96b6-1a0f235a65e4", "image_1": "Perception/single/2d0838ba-30c7-4a3d-96b6-1a0f235a65e4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "8cd86053-00e8-49fb-8b48-3ac20fed076d", "image_1": "Perception/single/8cd86053-00e8-49fb-8b48-3ac20fed076d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "bbc0532b-e162-457d-8859-8461b552c643", "image_1": "Perception/single/bbc0532b-e162-457d-8859-8461b552c643_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ac81ed14-f345-428e-8047-3faf278bc1a2", "image_1": "Perception/single/ac81ed14-f345-428e-8047-3faf278bc1a2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "ba2b5dbf-2416-41a0-89df-45d36bb3b59d", "image_1": "Perception/single/ba2b5dbf-2416-41a0-89df-45d36bb3b59d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "103384fa-0bca-4dc6-9fcf-ea2215e1c532", "image_1": "Perception/single/103384fa-0bca-4dc6-9fcf-ea2215e1c532_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "078ffbc5-5777-41fb-bf34-a204d24cd6be", "image_1": "Perception/single/078ffbc5-5777-41fb-bf34-a204d24cd6be_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ab7f3c0a-f0e7-4785-a7db-d9d6f4671e4f", "image_1": "Perception/single/ab7f3c0a-f0e7-4785-a7db-d9d6f4671e4f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "262b0745-baa1-42fa-8201-49582ae8e0de", "image_1": "Perception/single/262b0745-baa1-42fa-8201-49582ae8e0de_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "90652b0e-f566-4356-a92b-48227421f5ac", "image_1": "Perception/single/90652b0e-f566-4356-a92b-48227421f5ac_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f7520cfb-c77a-42e3-8700-c05eac2c8396", "image_1": "Perception/single/f7520cfb-c77a-42e3-8700-c05eac2c8396_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c721355f-be73-4447-a887-167971e902a2", "image_1": "Perception/single/c721355f-be73-4447-a887-167971e902a2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "cd39bc3d-7965-4bd3-9df6-9eee049e0eff", "image_1": "Perception/single/cd39bc3d-7965-4bd3-9df6-9eee049e0eff_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "7ccf556c-957d-41f4-bbbf-3aded3bec323", "image_1": "Perception/single/7ccf556c-957d-41f4-bbbf-3aded3bec323_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "e958d892-ba75-4ad2-8eb5-326eb9fe10a9", "image_1": "Perception/single/e958d892-ba75-4ad2-8eb5-326eb9fe10a9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "89729d68-5f09-4389-86f0-97ced42057f8", "image_1": "Perception/single/89729d68-5f09-4389-86f0-97ced42057f8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e51d0521-69af-41c2-9dd4-71d8afe7e5e3", "image_1": "Perception/single/e51d0521-69af-41c2-9dd4-71d8afe7e5e3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "07b15f6b-43f1-47fe-b7a9-3f0405c63075", "image_1": "Perception/single/07b15f6b-43f1-47fe-b7a9-3f0405c63075_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "65931a0a-e4f7-4807-80c4-083fba6905ad", "image_1": "Perception/single/65931a0a-e4f7-4807-80c4-083fba6905ad_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "03f3ea7b-9e09-4a31-bfc9-bf3ea07b14b5", "image_1": "Perception/single/03f3ea7b-9e09-4a31-bfc9-bf3ea07b14b5_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0b661e43-2a0f-4ad0-b0e0-083b75ada4ce", "image_1": "Perception/single/0b661e43-2a0f-4ad0-b0e0-083b75ada4ce_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c206472e-a2c9-44a7-8a38-cac75f13bb37", "image_1": "Perception/single/c206472e-a2c9-44a7-8a38-cac75f13bb37_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "366c595b-a6c8-4878-9ed9-52cd2f611e32", "image_1": "Perception/single/366c595b-a6c8-4878-9ed9-52cd2f611e32_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "07b9bcce-8601-4f03-8078-8112ab3ee827", "image_1": "Perception/single/07b9bcce-8601-4f03-8078-8112ab3ee827_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "bf4031a5-6a70-4c95-a83a-7789be71c2a2", "image_1": "Perception/single/bf4031a5-6a70-4c95-a83a-7789be71c2a2_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "ee5676df-7778-42b3-a039-7446544dba31", "image_1": "Perception/single/ee5676df-7778-42b3-a039-7446544dba31_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "7f84e28e-9bab-4baf-9214-b1835f797972", "image_1": "Perception/single/7f84e28e-9bab-4baf-9214-b1835f797972_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "de57b541-3b0f-4e3b-9786-0a3f4dc87a64", "image_1": "Perception/single/de57b541-3b0f-4e3b-9786-0a3f4dc87a64_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "6fa9a23d-5b3d-4dfe-bf09-090601a77c6c", "image_1": "Perception/single/6fa9a23d-5b3d-4dfe-bf09-090601a77c6c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "acef3a08-8d62-437d-a730-8b116f23aa14", "image_1": "Perception/single/acef3a08-8d62-437d-a730-8b116f23aa14_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "949767d0-84ea-4f31-bf50-d28448a9860f", "image_1": "Perception/single/949767d0-84ea-4f31-bf50-d28448a9860f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "ad3c7fdd-800b-46bf-ae40-c547629badef", "image_1": "Perception/single/ad3c7fdd-800b-46bf-ae40-c547629badef_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "e2116a9a-d463-4e59-aaed-6e5cca005697", "image_1": "Perception/single/e2116a9a-d463-4e59-aaed-6e5cca005697_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "8b72356d-bfe0-4203-b769-2df7d4e36a85", "image_1": "Perception/single/8b72356d-bfe0-4203-b769-2df7d4e36a85_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a2340c38-d4c4-4f2f-816c-480e92f7376b", "image_1": "Perception/single/a2340c38-d4c4-4f2f-816c-480e92f7376b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "34267b8d-7c23-4aa5-9f99-949aaafbac91", "image_1": "Perception/single/34267b8d-7c23-4aa5-9f99-949aaafbac91_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "94bd97fb-df8f-43fd-ab26-9ab4de31c4cd", "image_1": "Perception/single/94bd97fb-df8f-43fd-ab26-9ab4de31c4cd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f1cc29c7-b8f2-4d1f-a7dc-79df1b2a4346", "image_1": "Perception/single/f1cc29c7-b8f2-4d1f-a7dc-79df1b2a4346_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "be164a90-293a-461d-b8c7-37df6b7302a8", "image_1": "Perception/single/be164a90-293a-461d-b8c7-37df6b7302a8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "75817632-291d-4d31-bc05-03a6e15f25b9", "image_1": "Perception/single/75817632-291d-4d31-bc05-03a6e15f25b9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "4c8b053e-feb2-43da-a3df-c2f7ce3b65d3", "image_1": "Perception/single/4c8b053e-feb2-43da-a3df-c2f7ce3b65d3_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "19d5f025-292f-4b96-9872-254736a9b836", "image_1": "Perception/single/19d5f025-292f-4b96-9872-254736a9b836_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1a835534-579a-44d0-9c0f-5ce364943a34", "image_1": "Perception/single/1a835534-579a-44d0-9c0f-5ce364943a34_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "ae04b3dc-6074-4804-af39-e34453001f3f", "image_1": "Perception/single/ae04b3dc-6074-4804-af39-e34453001f3f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "c80980c4-ab19-46f2-9569-f1b8ca019728", "image_1": "Perception/single/c80980c4-ab19-46f2-9569-f1b8ca019728_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "19f7269d-b72f-41d3-b47a-dd257802ce2d", "image_1": "Perception/single/19f7269d-b72f-41d3-b47a-dd257802ce2d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "9ca700e1-d85a-4d2c-84b3-08136bb1e4df", "image_1": "Perception/single/9ca700e1-d85a-4d2c-84b3-08136bb1e4df_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "91fb46fb-a545-40b8-9d5c-ebe8f1024d1e", "image_1": "Perception/single/91fb46fb-a545-40b8-9d5c-ebe8f1024d1e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2f47f388-1d8e-4439-9c27-4b04434cb2ab", "image_1": "Perception/single/2f47f388-1d8e-4439-9c27-4b04434cb2ab_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e044c967-5852-45cc-a9d6-62f02772075f", "image_1": "Perception/single/e044c967-5852-45cc-a9d6-62f02772075f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "28653502-b952-42b4-ae76-62b52525a6d4", "image_1": "Perception/single/28653502-b952-42b4-ae76-62b52525a6d4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5a71b318-a5e4-42c1-966b-b1a63edb828e", "image_1": "Perception/single/5a71b318-a5e4-42c1-966b-b1a63edb828e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c3818423-8832-4715-941d-8b092f9983a0", "image_1": "Perception/single/c3818423-8832-4715-941d-8b092f9983a0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "dbc583ef-c4ec-44b6-a31f-6f4fe18403f1", "image_1": "Perception/single/dbc583ef-c4ec-44b6-a31f-6f4fe18403f1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "842bec77-2274-4693-aa3e-2b6dee6704a9", "image_1": "Perception/single/842bec77-2274-4693-aa3e-2b6dee6704a9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "75bb3d10-fb5f-4e8f-97c1-d738345604ff", "image_1": "Perception/single/75bb3d10-fb5f-4e8f-97c1-d738345604ff_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "72a77dd7-a186-456d-b0e4-f9873144aa1a", "image_1": "Perception/single/72a77dd7-a186-456d-b0e4-f9873144aa1a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "e2bfef5f-a110-4b35-a4e2-6f571170659b", "image_1": "Perception/single/e2bfef5f-a110-4b35-a4e2-6f571170659b_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "bbd970d7-0c7c-4d85-9679-1f0a500e8603", "image_1": "Perception/single/bbd970d7-0c7c-4d85-9679-1f0a500e8603_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "29e0ec08-dffb-4369-a6af-3b5297a99303", "image_1": "Perception/single/29e0ec08-dffb-4369-a6af-3b5297a99303_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "36d8a3c3-323e-4f9c-9328-f08e54b04787", "image_1": "Perception/single/36d8a3c3-323e-4f9c-9328-f08e54b04787_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "635e06ed-7b5b-4e33-af2b-7da0f22cf4ff", "image_1": "Perception/single/635e06ed-7b5b-4e33-af2b-7da0f22cf4ff_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2efb8458-85be-4473-bd26-f94d36680855", "image_1": "Perception/single/2efb8458-85be-4473-bd26-f94d36680855_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "8c07ac60-c609-4f71-9691-b258aa03be65", "image_1": "Perception/single/8c07ac60-c609-4f71-9691-b258aa03be65_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "7e768380-8101-4d4f-869a-decd6dbea368", "image_1": "Perception/single/7e768380-8101-4d4f-869a-decd6dbea368_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "647e18ac-6ceb-4520-bb00-3e4354b79bad", "image_1": "Perception/single/647e18ac-6ceb-4520-bb00-3e4354b79bad_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "35376833-9d91-4d03-9023-46ce995b5a0d", "image_1": "Perception/single/35376833-9d91-4d03-9023-46ce995b5a0d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "8be50591-ed37-47ff-81fe-6477e136d3a9", "image_1": "Perception/single/8be50591-ed37-47ff-81fe-6477e136d3a9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a08c5124-f2d7-4682-911b-3e9773dd36d8", "image_1": "Perception/single/a08c5124-f2d7-4682-911b-3e9773dd36d8_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "6504053a-e822-4958-87bb-1c115e1f82c4", "image_1": "Perception/single/6504053a-e822-4958-87bb-1c115e1f82c4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8d4f9743-9bfd-452d-98e4-7cfdbeab3c0a", "image_1": "Perception/single/8d4f9743-9bfd-452d-98e4-7cfdbeab3c0a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "216e188b-58b1-4e72-a6cc-e140e938a007", "image_1": "Perception/single/216e188b-58b1-4e72-a6cc-e140e938a007_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "9b2197df-6d48-4f97-86bd-b5305ae15bfb", "image_1": "Perception/single/9b2197df-6d48-4f97-86bd-b5305ae15bfb_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0ccb04ae-9c96-4ed6-b633-5ddfd597de09", "image_1": "Perception/single/0ccb04ae-9c96-4ed6-b633-5ddfd597de09_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2fcbbbe3-5c4d-4285-b816-53f32959adf1", "image_1": "Perception/single/2fcbbbe3-5c4d-4285-b816-53f32959adf1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "7ece4338-11d9-4515-95d2-a75c7f005640", "image_1": "Perception/single/7ece4338-11d9-4515-95d2-a75c7f005640_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "148d0a67-c365-4207-8fe3-d3b8d966705e", "image_1": "Perception/single/148d0a67-c365-4207-8fe3-d3b8d966705e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "db7ff525-3d73-4bdb-96f0-50d564173a66", "image_1": "Perception/single/db7ff525-3d73-4bdb-96f0-50d564173a66_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "3ca345a4-cf6a-4fc9-9433-d3d748cddb2c", "image_1": "Perception/single/3ca345a4-cf6a-4fc9-9433-d3d748cddb2c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8e2c5e92-be8a-4293-9ab1-4af077de0951", "image_1": "Perception/single/8e2c5e92-be8a-4293-9ab1-4af077de0951_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "f7853f7a-3a87-4c5d-8548-93edff74db38", "image_1": "Perception/single/f7853f7a-3a87-4c5d-8548-93edff74db38_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "40dfc654-2c55-4a9b-bc23-9e98af71dce7", "image_1": "Perception/single/40dfc654-2c55-4a9b-bc23-9e98af71dce7_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "8d25f636-ff6a-4c7c-9671-0e2348bc1fd4", "image_1": "Perception/single/8d25f636-ff6a-4c7c-9671-0e2348bc1fd4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5613615f-45ce-4282-b9cc-d6fb51b90473", "image_1": "Perception/single/5613615f-45ce-4282-b9cc-d6fb51b90473_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "78ecaea7-593c-47d9-b0fe-5062178acc04", "image_1": "Perception/single/78ecaea7-593c-47d9-b0fe-5062178acc04_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "5eda1c6a-c334-47e8-bb2d-1d2a19d2205c", "image_1": "Perception/single/5eda1c6a-c334-47e8-bb2d-1d2a19d2205c_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "d45af25a-b92f-4eae-a0e9-d1352c69d803", "image_1": "Perception/single/d45af25a-b92f-4eae-a0e9-d1352c69d803_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "6f86128b-ebc6-4ae6-b0ef-76676a69cea4", "image_1": "Perception/single/6f86128b-ebc6-4ae6-b0ef-76676a69cea4_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "44986fd0-1d4f-41dd-b622-6792c54409cf", "image_1": "Perception/single/44986fd0-1d4f-41dd-b622-6792c54409cf_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "661cd2eb-391c-4345-9522-713eb9ed9e8a", "image_1": "Perception/single/661cd2eb-391c-4345-9522-713eb9ed9e8a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "0dea633e-0369-4f3f-b4d6-14186aff3136", "image_1": "Perception/single/0dea633e-0369-4f3f-b4d6-14186aff3136_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "63417776-16fd-4804-ae22-12a19eff0903", "image_1": "Perception/single/63417776-16fd-4804-ae22-12a19eff0903_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "0a938e4a-81ed-4849-bc99-798de46600a0", "image_1": "Perception/single/0a938e4a-81ed-4849-bc99-798de46600a0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "50b91790-6b65-44ec-9792-c8e32a1f6d71", "image_1": "Perception/single/50b91790-6b65-44ec-9792-c8e32a1f6d71_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a437297a-0e5b-405f-871d-1b2510661ac0", "image_1": "Perception/single/a437297a-0e5b-405f-871d-1b2510661ac0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "5d144a0c-0ff4-4f08-bb42-2d6ec31bf9e9", "image_1": "Perception/single/5d144a0c-0ff4-4f08-bb42-2d6ec31bf9e9_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "59fdae96-d155-4dea-998f-cc4cdee81e55", "image_1": "Perception/single/59fdae96-d155-4dea-998f-cc4cdee81e55_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "66c76a1a-4d0a-4f68-9aff-36175d610774", "image_1": "Perception/single/66c76a1a-4d0a-4f68-9aff-36175d610774_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "eaf9f1e0-0327-4358-a4b4-4faec04e465d", "image_1": "Perception/single/eaf9f1e0-0327-4358-a4b4-4faec04e465d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "2a5d8f23-1899-480f-a451-e4886aa291ec", "image_1": "Perception/single/2a5d8f23-1899-480f-a451-e4886aa291ec_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "9d22322f-1b38-4321-b9f1-6c318ff85921", "image_1": "Perception/single/9d22322f-1b38-4321-b9f1-6c318ff85921_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "8d53d0eb-d21d-4f53-b9f2-330c473deaef", "image_1": "Perception/single/8d53d0eb-d21d-4f53-b9f2-330c473deaef_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "6b553fda-3a65-4a13-8cca-45ca3677ceb0", "image_1": "Perception/single/6b553fda-3a65-4a13-8cca-45ca3677ceb0_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "67685044-930f-43d8-b204-0688ad8d7962", "image_1": "Perception/single/67685044-930f-43d8-b204-0688ad8d7962_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "b62abc25-373a-424e-9db4-d16698b2ff21", "image_1": "Perception/single/b62abc25-373a-424e-9db4-d16698b2ff21_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "a5d9ed5e-39bb-4c26-990f-11d9f1a4e6cd", "image_1": "Perception/single/a5d9ed5e-39bb-4c26-990f-11d9f1a4e6cd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "e50001cf-e24b-40b7-8f67-5ef39ceb496a", "image_1": "Perception/single/e50001cf-e24b-40b7-8f67-5ef39ceb496a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c8ac2f3e-d280-4aeb-ba23-39f37824de8a", "image_1": "Perception/single/c8ac2f3e-d280-4aeb-ba23-39f37824de8a_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "a165f7d2-1d16-490a-9818-042d7d403138", "image_1": "Perception/single/a165f7d2-1d16-490a-9818-042d7d403138_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "d33a43e1-c31a-4611-bb0e-b2ee7cb371a1", "image_1": "Perception/single/d33a43e1-c31a-4611-bb0e-b2ee7cb371a1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "aff768eb-9351-4b94-83fa-bb7c81014865", "image_1": "Perception/single/aff768eb-9351-4b94-83fa-bb7c81014865_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "39659a16-0bbc-4b18-99ae-4693dbe47054", "image_1": "Perception/single/39659a16-0bbc-4b18-99ae-4693dbe47054_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "2c28d56e-4aec-44f8-8340-49633e0d4f73", "image_1": "Perception/single/2c28d56e-4aec-44f8-8340-49633e0d4f73_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "7d339914-5b00-4cc0-8571-e0aa93c217d1", "image_1": "Perception/single/7d339914-5b00-4cc0-8571-e0aa93c217d1_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "95c233ec-63a8-4076-b28e-1119a376763f", "image_1": "Perception/single/95c233ec-63a8-4076-b28e-1119a376763f_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "c4b77d13-8a9c-4402-a0aa-a7d57245543d", "image_1": "Perception/single/c4b77d13-8a9c-4402-a0aa-a7d57245543d_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "e8126594-ef87-4438-82aa-f5bf570abddd", "image_1": "Perception/single/e8126594-ef87-4438-82aa-f5bf570abddd_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "B"}
{"id": "b438966a-f553-4d1c-ba9b-031070dd2974", "image_1": "Perception/single/b438966a-f553-4d1c-ba9b-031070dd2974_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "417c8b46-1095-44da-acff-a1572637edfb", "image_1": "Perception/single/417c8b46-1095-44da-acff-a1572637edfb_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "7395169f-0a18-4c24-9c46-343497a62b0e", "image_1": "Perception/single/7395169f-0a18-4c24-9c46-343497a62b0e_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "A"}
{"id": "02e34845-1378-4a6d-aa99-e818ab372754", "image_1": "Perception/single/02e34845-1378-4a6d-aa99-e818ab372754_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "f7a4f8f5-695d-4d04-8d7a-36575cd32f39", "image_1": "Perception/single/f7a4f8f5-695d-4d04-8d7a-36575cd32f39_0.png", "image_2": null, "question": "Provide an overall quality rating for this remote sensing image based on the following three levels of distortion:\nA. No/Slight distortion\nB. Moderate distortion\nC. Severe distortion", "answer": "C"}
{"id": "1d1ad5b7-d485-4da6-8250-33e539d614d8", "image_1": "Perception/single/1d1ad5b7-d485-4da6-8250-33e539d614d8_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.striping\nD.ghosting", "answer": "A"}
{"id": "55b6c987-93bd-4e25-bc41-19ade3d282af", "image_1": "Perception/single/55b6c987-93bd-4e25-bc41-19ade3d282af_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "B"}
{"id": "03881175-2173-418b-9d23-4b262b7269d1", "image_1": "Perception/single/03881175-2173-418b-9d23-4b262b7269d1_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "A"}
{"id": "1c952d2e-ec94-40b7-923c-3281b907fde7", "image_1": "Perception/single/1c952d2e-ec94-40b7-923c-3281b907fde7_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "A"}
{"id": "a5ecf580-d255-4d86-bdf5-a3a2a52094ec", "image_1": "Perception/single/a5ecf580-d255-4d86-bdf5-a3a2a52094ec_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "A"}
{"id": "7202db69-0f00-4b08-8003-b6038811994c", "image_1": "Perception/single/7202db69-0f00-4b08-8003-b6038811994c_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "B"}
{"id": "d5abe0d8-9196-45f9-9441-adbb35b25802", "image_1": "Perception/single/d5abe0d8-9196-45f9-9441-adbb35b25802_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "055e225f-d0c4-47dd-b13d-6316fb104754", "image_1": "Perception/single/055e225f-d0c4-47dd-b13d-6316fb104754_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.striping\nD.ghosting", "answer": "A"}
{"id": "5c897ebc-59f1-4ad2-88c9-9021605e38f0", "image_1": "Perception/single/5c897ebc-59f1-4ad2-88c9-9021605e38f0_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "A"}
{"id": "0fb89f64-933c-48f0-a8ab-d4851218b3b6", "image_1": "Perception/single/0fb89f64-933c-48f0-a8ab-d4851218b3b6_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.speckle\nD.ghosting", "answer": "A"}
{"id": "3b73a030-762a-4cc6-9da0-4050ef7f93cc", "image_1": "Perception/single/3b73a030-762a-4cc6-9da0-4050ef7f93cc_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.ghosting\nD.speckle", "answer": "B"}
{"id": "72e13727-0713-4679-8fea-d50920601213", "image_1": "Perception/single/72e13727-0713-4679-8fea-d50920601213_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.striping\nD.speckle", "answer": "B"}
{"id": "d4f2f52a-fe31-4ef2-b751-9bda54e241ef", "image_1": "Perception/single/d4f2f52a-fe31-4ef2-b751-9bda54e241ef_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "7aebb1bc-560a-420a-bb46-90fd96e93a28", "image_1": "Perception/single/7aebb1bc-560a-420a-bb46-90fd96e93a28_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.striping\nD.ghosting", "answer": "A"}
{"id": "0d3adebf-fc95-4cad-8243-535046e6024e", "image_1": "Perception/single/0d3adebf-fc95-4cad-8243-535046e6024e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "bff47bc6-6f11-48e0-917f-4e43f0f278b2", "image_1": "Perception/single/bff47bc6-6f11-48e0-917f-4e43f0f278b2_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.sidelobe\nD.speckle", "answer": "C"}
{"id": "34b94f02-5cdc-45ee-80fd-422ac4b0b25d", "image_1": "Perception/single/34b94f02-5cdc-45ee-80fd-422ac4b0b25d_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.striping\nD.ghosting", "answer": "A"}
{"id": "4e2f73ee-ea33-4769-946d-5b7fa9e29f85", "image_1": "Perception/single/4e2f73ee-ea33-4769-946d-5b7fa9e29f85_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "A"}
{"id": "f6c36076-79ea-4f22-8a10-b016862e15ba", "image_1": "Perception/single/f6c36076-79ea-4f22-8a10-b016862e15ba_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "7ce25a44-4b0a-4401-bef4-597662de0485", "image_1": "Perception/single/7ce25a44-4b0a-4401-bef4-597662de0485_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "3b4cdab5-d98f-454c-aad1-26668459df0a", "image_1": "Perception/single/3b4cdab5-d98f-454c-aad1-26668459df0a_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.sidelobe\nD.speckle", "answer": "C"}
{"id": "84626988-3dc2-4c34-af85-8d32de95c20e", "image_1": "Perception/single/84626988-3dc2-4c34-af85-8d32de95c20e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "B"}
{"id": "b7bb8062-3b38-4653-89a4-61647a3be7cc", "image_1": "Perception/single/b7bb8062-3b38-4653-89a4-61647a3be7cc_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.striping\nD.ghosting", "answer": "A"}
{"id": "ace81c3b-1d61-4f05-802a-dc6ac26f33f4", "image_1": "Perception/single/ace81c3b-1d61-4f05-802a-dc6ac26f33f4_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "a75cf8f0-81e4-4468-9d44-fa21d3566c28", "image_1": "Perception/single/a75cf8f0-81e4-4468-9d44-fa21d3566c28_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "B"}
{"id": "e9f3a816-48dc-4ee5-ac1b-17115fe6a08a", "image_1": "Perception/single/e9f3a816-48dc-4ee5-ac1b-17115fe6a08a_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.ghosting\nD.sidelobe", "answer": "D"}
{"id": "19f1b36d-8fdc-43b4-85d3-8f4a615cb522", "image_1": "Perception/single/19f1b36d-8fdc-43b4-85d3-8f4a615cb522_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "D"}
{"id": "0729fb32-dd24-4db6-8b0a-d2a40bcd7bde", "image_1": "Perception/single/0729fb32-dd24-4db6-8b0a-d2a40bcd7bde_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "bbfe506f-d06c-4b6c-973d-603561d7de00", "image_1": "Perception/single/bbfe506f-d06c-4b6c-973d-603561d7de00_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "D"}
{"id": "1c6e3ef4-dd11-429a-8051-52813f40ad8e", "image_1": "Perception/single/1c6e3ef4-dd11-429a-8051-52813f40ad8e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "B"}
{"id": "2c5d5f10-f15b-4659-8713-0ca13b5709bb", "image_1": "Perception/single/2c5d5f10-f15b-4659-8713-0ca13b5709bb_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "aa292da5-7b9b-43b1-b072-119f78e18e8f", "image_1": "Perception/single/aa292da5-7b9b-43b1-b072-119f78e18e8f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.speckle\nD.ghosting", "answer": "A"}
{"id": "ba9602b7-135a-4d01-b5d8-b3e45049bf76", "image_1": "Perception/single/ba9602b7-135a-4d01-b5d8-b3e45049bf76_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "B"}
{"id": "2d7ad250-7374-432b-8920-45e1158442b1", "image_1": "Perception/single/2d7ad250-7374-432b-8920-45e1158442b1_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "18d56a69-b5ce-4e7f-94d5-43c2461f83c7", "image_1": "Perception/single/18d56a69-b5ce-4e7f-94d5-43c2461f83c7_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "c04ec1f1-5c77-45b5-9e0f-a255f6b77400", "image_1": "Perception/single/c04ec1f1-5c77-45b5-9e0f-a255f6b77400_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.sidelobe\nD.speckle", "answer": "C"}
{"id": "db497996-d5cf-42e7-8f77-a19e9f903bdf", "image_1": "Perception/single/db497996-d5cf-42e7-8f77-a19e9f903bdf_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "B"}
{"id": "4828338b-020d-4ce4-9e6d-72bfbf7df3f6", "image_1": "Perception/single/4828338b-020d-4ce4-9e6d-72bfbf7df3f6_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.speckle\nD.striping", "answer": "A"}
{"id": "471b4945-0531-4f7f-8821-0134292a95fa", "image_1": "Perception/single/471b4945-0531-4f7f-8821-0134292a95fa_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.sidelobe\nD.speckle", "answer": "C"}
{"id": "53f4ac1c-8361-4189-93e1-e3127f09bbc6", "image_1": "Perception/single/53f4ac1c-8361-4189-93e1-e3127f09bbc6_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "A"}
{"id": "961fee47-0099-42ee-bd6d-48847152788b", "image_1": "Perception/single/961fee47-0099-42ee-bd6d-48847152788b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "D"}
{"id": "feec8ef1-a96e-443d-a3f9-a9f360361191", "image_1": "Perception/single/feec8ef1-a96e-443d-a3f9-a9f360361191_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "278a6664-491b-4ee5-8e94-31958945746e", "image_1": "Perception/single/278a6664-491b-4ee5-8e94-31958945746e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "e7c29b28-0b74-4a42-8c3e-41940c156d8c", "image_1": "Perception/single/e7c29b28-0b74-4a42-8c3e-41940c156d8c_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "A"}
{"id": "6aaa92bc-ca4c-4bcb-8724-ccb65317407f", "image_1": "Perception/single/6aaa92bc-ca4c-4bcb-8724-ccb65317407f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "A"}
{"id": "67e7a24b-3115-41a6-ab5a-fe0ddcb03e98", "image_1": "Perception/single/67e7a24b-3115-41a6-ab5a-fe0ddcb03e98_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.ghosting\nD.sidelobe", "answer": "D"}
{"id": "70e086b4-cd51-41a1-9443-0288dd5c40aa", "image_1": "Perception/single/70e086b4-cd51-41a1-9443-0288dd5c40aa_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "c73412f4-ac95-492a-89df-c8a9a3895b1e", "image_1": "Perception/single/c73412f4-ac95-492a-89df-c8a9a3895b1e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "A"}
{"id": "570286bc-527d-493c-8c3e-cf07617e88c7", "image_1": "Perception/single/570286bc-527d-493c-8c3e-cf07617e88c7_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.sidelobe\nD.striping", "answer": "C"}
{"id": "427563da-dad0-49e1-93b0-6683d4854a97", "image_1": "Perception/single/427563da-dad0-49e1-93b0-6683d4854a97_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "22164e30-d663-4595-9006-efbf0a07432d", "image_1": "Perception/single/22164e30-d663-4595-9006-efbf0a07432d_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "B"}
{"id": "8e919876-9c46-46b2-bd15-45950bfb00c4", "image_1": "Perception/single/8e919876-9c46-46b2-bd15-45950bfb00c4_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "084d58b5-e370-4a62-bef7-56bc28dd44c5", "image_1": "Perception/single/084d58b5-e370-4a62-bef7-56bc28dd44c5_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "d4955835-c880-49a5-b7c6-fa95a0823a31", "image_1": "Perception/single/d4955835-c880-49a5-b7c6-fa95a0823a31_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "ce32c6e9-894b-495b-8f59-4274e3fe4adb", "image_1": "Perception/single/ce32c6e9-894b-495b-8f59-4274e3fe4adb_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "B"}
{"id": "d496263c-e975-4326-ba14-5e7500248ffc", "image_1": "Perception/single/d496263c-e975-4326-ba14-5e7500248ffc_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "D"}
{"id": "edcb0efa-eddf-4049-957f-344a8a9154e3", "image_1": "Perception/single/edcb0efa-eddf-4049-957f-344a8a9154e3_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "4ded885f-a903-4c41-a48f-739807b11bd2", "image_1": "Perception/single/4ded885f-a903-4c41-a48f-739807b11bd2_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.ghosting\nD.sidelobe", "answer": "D"}
{"id": "89f1d8d0-ac39-46aa-af04-d6499fd9467e", "image_1": "Perception/single/89f1d8d0-ac39-46aa-af04-d6499fd9467e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "B"}
{"id": "12f26709-68e6-4274-940d-2c5b07242226", "image_1": "Perception/single/12f26709-68e6-4274-940d-2c5b07242226_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "B"}
{"id": "1773789b-6487-43f2-9181-b941edcb03a8", "image_1": "Perception/single/1773789b-6487-43f2-9181-b941edcb03a8_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.sidelobe\nD.speckle", "answer": "C"}
{"id": "fbce611c-99f7-4bc0-9fe1-237dce145d6d", "image_1": "Perception/single/fbce611c-99f7-4bc0-9fe1-237dce145d6d_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.speckle\nD.ghosting", "answer": "A"}
{"id": "b3e405fd-0ebd-4528-891f-bfb3cc4e24d8", "image_1": "Perception/single/b3e405fd-0ebd-4528-891f-bfb3cc4e24d8_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "c92fb3ab-c024-4817-b087-1762e40f6b14", "image_1": "Perception/single/c92fb3ab-c024-4817-b087-1762e40f6b14_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.ghosting\nD.sidelobe", "answer": "D"}
{"id": "e8625a3d-cac2-4dab-acd4-b51651db7c7e", "image_1": "Perception/single/e8625a3d-cac2-4dab-acd4-b51651db7c7e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "22caad38-f90b-4b12-b415-9c61f191ac7a", "image_1": "Perception/single/22caad38-f90b-4b12-b415-9c61f191ac7a_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.sidelobe\nD.speckle", "answer": "C"}
{"id": "f22b8d29-bbee-4128-905e-e52930decb08", "image_1": "Perception/single/f22b8d29-bbee-4128-905e-e52930decb08_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.speckle\nD.ghosting", "answer": "A"}
{"id": "51b44831-ae38-423b-a49c-2df968a64807", "image_1": "Perception/single/51b44831-ae38-423b-a49c-2df968a64807_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.striping\nD.speckle", "answer": "B"}
{"id": "e32f6fac-94c5-4612-b341-1e83465e54bf", "image_1": "Perception/single/e32f6fac-94c5-4612-b341-1e83465e54bf_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "B"}
{"id": "72980556-fcd5-4a71-a869-704fe3c767df", "image_1": "Perception/single/72980556-fcd5-4a71-a869-704fe3c767df_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "30fb3011-10ef-483b-834d-14e0afd3bf06", "image_1": "Perception/single/30fb3011-10ef-483b-834d-14e0afd3bf06_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.sidelobe\nD.speckle", "answer": "C"}
{"id": "f9b4383d-4873-48fb-9ed3-39cd3c758ad4", "image_1": "Perception/single/f9b4383d-4873-48fb-9ed3-39cd3c758ad4_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "A"}
{"id": "283f4977-b5e3-4132-a91b-afdb46c0ab64", "image_1": "Perception/single/283f4977-b5e3-4132-a91b-afdb46c0ab64_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.ghosting\nD.speckle", "answer": "B"}
{"id": "0a8beeb6-b07e-4a5b-a414-afd2dfaa708a", "image_1": "Perception/single/0a8beeb6-b07e-4a5b-a414-afd2dfaa708a_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "D"}
{"id": "88a6930b-e190-4873-8144-b009f2cb771b", "image_1": "Perception/single/88a6930b-e190-4873-8144-b009f2cb771b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.sidelobe\nD.striping", "answer": "C"}
{"id": "cd3a005e-5191-4a30-922d-e9e044d5be3a", "image_1": "Perception/single/cd3a005e-5191-4a30-922d-e9e044d5be3a_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.striping\nD.speckle", "answer": "B"}
{"id": "1dbd0a28-6003-48f6-b46a-4a1fa6d1d766", "image_1": "Perception/single/1dbd0a28-6003-48f6-b46a-4a1fa6d1d766_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "cc8665b1-0109-4158-9e65-1c8e16a08d89", "image_1": "Perception/single/cc8665b1-0109-4158-9e65-1c8e16a08d89_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.sidelobe\nD.striping", "answer": "C"}
{"id": "306f0af1-4c50-4d21-84fb-4caef6412f48", "image_1": "Perception/single/306f0af1-4c50-4d21-84fb-4caef6412f48_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.speckle\nD.ghosting", "answer": "A"}
{"id": "080706e2-2f99-4bb9-a4ac-d2873ef83cd5", "image_1": "Perception/single/080706e2-2f99-4bb9-a4ac-d2873ef83cd5_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "B"}
{"id": "65e09ef9-c506-4f38-a57d-0dc11514d72a", "image_1": "Perception/single/65e09ef9-c506-4f38-a57d-0dc11514d72a_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.speckle\nD.ghosting", "answer": "A"}
{"id": "6cbcbbab-9ce6-41c8-88d7-bdbf347a93e2", "image_1": "Perception/single/6cbcbbab-9ce6-41c8-88d7-bdbf347a93e2_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "19d7bea1-28e1-47fc-abf4-f5db537d780f", "image_1": "Perception/single/19d7bea1-28e1-47fc-abf4-f5db537d780f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "dc24eca6-ee13-4a05-b8db-8080c4108762", "image_1": "Perception/single/dc24eca6-ee13-4a05-b8db-8080c4108762_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "A"}
{"id": "5d716720-0afb-492f-a72c-c346d2895d3f", "image_1": "Perception/single/5d716720-0afb-492f-a72c-c346d2895d3f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "B"}
{"id": "9d1db509-1287-4a22-b44d-687d91d0630d", "image_1": "Perception/single/9d1db509-1287-4a22-b44d-687d91d0630d_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "B"}
{"id": "0b76fe89-3e52-4826-92e6-851613d37ed7", "image_1": "Perception/single/0b76fe89-3e52-4826-92e6-851613d37ed7_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.ghosting\nD.speckle", "answer": "B"}
{"id": "9514fc76-31ec-4220-bfdf-71549e58556c", "image_1": "Perception/single/9514fc76-31ec-4220-bfdf-71549e58556c_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.sidelobe\nD.striping", "answer": "C"}
{"id": "d6ea5a52-12de-4d63-8fce-0de8349b267b", "image_1": "Perception/single/d6ea5a52-12de-4d63-8fce-0de8349b267b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.ghosting\nD.speckle", "answer": "B"}
{"id": "e045eb50-2bc8-45c5-bce8-40e577f35ded", "image_1": "Perception/single/e045eb50-2bc8-45c5-bce8-40e577f35ded_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "D"}
{"id": "1a249819-6146-4b84-acdc-a5794a0a60af", "image_1": "Perception/single/1a249819-6146-4b84-acdc-a5794a0a60af_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "B"}
{"id": "071e13a4-dcf5-471b-8573-a3f9f0446c33", "image_1": "Perception/single/071e13a4-dcf5-471b-8573-a3f9f0446c33_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.sidelobe\nD.striping", "answer": "C"}
{"id": "2675ae2a-54c2-4664-b6ac-e93878062d90", "image_1": "Perception/single/2675ae2a-54c2-4664-b6ac-e93878062d90_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.speckle\nD.striping", "answer": "A"}
{"id": "2bb57ab6-10ba-448e-a087-9d3be86a0bfb", "image_1": "Perception/single/2bb57ab6-10ba-448e-a087-9d3be86a0bfb_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "B"}
{"id": "37581065-291f-454f-9e74-dc74072df254", "image_1": "Perception/single/37581065-291f-454f-9e74-dc74072df254_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.striping\nD.speckle", "answer": "B"}
{"id": "bbdd4f63-b789-47b3-9142-de147ee71769", "image_1": "Perception/single/bbdd4f63-b789-47b3-9142-de147ee71769_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.striping\nD.ghosting", "answer": "A"}
{"id": "843ddae9-2c68-4feb-9116-1fe39d0a70d2", "image_1": "Perception/single/843ddae9-2c68-4feb-9116-1fe39d0a70d2_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "B"}
{"id": "db42c26b-d15e-40e7-9b9d-7a23c1d5041b", "image_1": "Perception/single/db42c26b-d15e-40e7-9b9d-7a23c1d5041b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "A"}
{"id": "288081c1-7cb3-4e67-a787-11ddb076e026", "image_1": "Perception/single/288081c1-7cb3-4e67-a787-11ddb076e026_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "A"}
{"id": "9336ce13-4ff5-42da-8cda-96b786701dc0", "image_1": "Perception/single/9336ce13-4ff5-42da-8cda-96b786701dc0_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "d47b5ff6-8973-4a0b-92d7-c1a0b9de710a", "image_1": "Perception/single/d47b5ff6-8973-4a0b-92d7-c1a0b9de710a_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "A"}
{"id": "1a36fa89-bd00-477a-9f4a-820970e85d48", "image_1": "Perception/single/1a36fa89-bd00-477a-9f4a-820970e85d48_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "B"}
{"id": "740ebfb3-1fed-40cb-9ff7-b28ec10e75cd", "image_1": "Perception/single/740ebfb3-1fed-40cb-9ff7-b28ec10e75cd_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "97bf3de4-a9fd-400e-b556-6040e76fb91f", "image_1": "Perception/single/97bf3de4-a9fd-400e-b556-6040e76fb91f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "A"}
{"id": "39ac6d7e-2d6a-4eec-a63a-db6ec0b2fa96", "image_1": "Perception/single/39ac6d7e-2d6a-4eec-a63a-db6ec0b2fa96_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "B"}
{"id": "9e30d926-402e-4123-aa59-ba36f1894c1e", "image_1": "Perception/single/9e30d926-402e-4123-aa59-ba36f1894c1e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "B"}
{"id": "ca54d7ac-bd2a-4d62-af95-512dd47496e1", "image_1": "Perception/single/ca54d7ac-bd2a-4d62-af95-512dd47496e1_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "52d599ad-f13e-4568-847d-777a7ca483e0", "image_1": "Perception/single/52d599ad-f13e-4568-847d-777a7ca483e0_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "3e50498b-d171-403e-8110-5c5469d4b0c6", "image_1": "Perception/single/3e50498b-d171-403e-8110-5c5469d4b0c6_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "B"}
{"id": "8735669a-afe2-4aee-9b44-89d535f7b842", "image_1": "Perception/single/8735669a-afe2-4aee-9b44-89d535f7b842_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.striping\nD.ghosting", "answer": "A"}
{"id": "566be99b-1e8e-4698-9d4d-aeaa0054ef71", "image_1": "Perception/single/566be99b-1e8e-4698-9d4d-aeaa0054ef71_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "be798444-7afa-4282-8171-4c963c66e224", "image_1": "Perception/single/be798444-7afa-4282-8171-4c963c66e224_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "A"}
{"id": "ec2718c5-67c2-4e2c-ac61-1504722d538d", "image_1": "Perception/single/ec2718c5-67c2-4e2c-ac61-1504722d538d_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.sidelobe\nD.speckle", "answer": "C"}
{"id": "804fbca0-f853-4ea6-957c-e8f27323663b", "image_1": "Perception/single/804fbca0-f853-4ea6-957c-e8f27323663b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "e666f909-233d-4505-9957-0b0f4f73368a", "image_1": "Perception/single/e666f909-233d-4505-9957-0b0f4f73368a_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.striping\nD.speckle", "answer": "B"}
{"id": "22445b28-0ee9-49d0-a39d-5f341bb4e14e", "image_1": "Perception/single/22445b28-0ee9-49d0-a39d-5f341bb4e14e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.ghosting\nD.speckle", "answer": "B"}
{"id": "bdc06ebd-accc-4896-947c-dcf433e098e4", "image_1": "Perception/single/bdc06ebd-accc-4896-947c-dcf433e098e4_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.sidelobe\nD.striping", "answer": "C"}
{"id": "a3413682-a7c2-4812-8261-f06c3a742a76", "image_1": "Perception/single/a3413682-a7c2-4812-8261-f06c3a742a76_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "B"}
{"id": "a3fa362e-bd86-4679-828e-55349f53c677", "image_1": "Perception/single/a3fa362e-bd86-4679-828e-55349f53c677_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "f563d4e9-d398-442d-b852-646e0ea4adfc", "image_1": "Perception/single/f563d4e9-d398-442d-b852-646e0ea4adfc_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.sidelobe\nD.striping", "answer": "C"}
{"id": "5162ac60-377f-4712-9c00-451e69204b45", "image_1": "Perception/single/5162ac60-377f-4712-9c00-451e69204b45_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "9e8c5895-8335-4aaa-96c9-fc779be54c28", "image_1": "Perception/single/9e8c5895-8335-4aaa-96c9-fc779be54c28_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.sidelobe\nD.striping", "answer": "C"}
{"id": "5f90caae-de31-4904-b957-4c5adda0e244", "image_1": "Perception/single/5f90caae-de31-4904-b957-4c5adda0e244_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "A"}
{"id": "daf67cad-2b9c-47d6-b939-9d1922937ca1", "image_1": "Perception/single/daf67cad-2b9c-47d6-b939-9d1922937ca1_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "8563c2e6-7436-4174-8596-b0f6593d81c6", "image_1": "Perception/single/8563c2e6-7436-4174-8596-b0f6593d81c6_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "A"}
{"id": "aab943d7-2bf0-4e8a-bb04-932beeab45b7", "image_1": "Perception/single/aab943d7-2bf0-4e8a-bb04-932beeab45b7_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.striping\nD.speckle", "answer": "B"}
{"id": "791c2e10-6ecd-4d6e-bbdf-b6748ce92cf9", "image_1": "Perception/single/791c2e10-6ecd-4d6e-bbdf-b6748ce92cf9_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "06ac2354-b25f-44a7-a2d9-6ff73285ce33", "image_1": "Perception/single/06ac2354-b25f-44a7-a2d9-6ff73285ce33_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.speckle\nD.ghosting", "answer": "A"}
{"id": "5202c7fb-14c0-4417-9fd3-e8d81ebe6a5e", "image_1": "Perception/single/5202c7fb-14c0-4417-9fd3-e8d81ebe6a5e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.speckle\nD.striping", "answer": "A"}
{"id": "30a633fa-f64c-41da-aa84-0d13599c52dd", "image_1": "Perception/single/30a633fa-f64c-41da-aa84-0d13599c52dd_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "28190cfa-312d-4550-aa94-c5dba4d17c57", "image_1": "Perception/single/28190cfa-312d-4550-aa94-c5dba4d17c57_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "abd3515c-92f6-4ebe-9a1f-a54768d6a1d1", "image_1": "Perception/single/abd3515c-92f6-4ebe-9a1f-a54768d6a1d1_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.sidelobe\nD.speckle", "answer": "C"}
{"id": "825ac3a5-df37-4dd0-af26-92fc00254110", "image_1": "Perception/single/825ac3a5-df37-4dd0-af26-92fc00254110_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.sidelobe\nD.speckle", "answer": "C"}
{"id": "b1dd7140-491e-4389-9a34-84b21f2b397b", "image_1": "Perception/single/b1dd7140-491e-4389-9a34-84b21f2b397b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "A"}
{"id": "b2374355-900a-4e7a-afa0-98a8019cf6c0", "image_1": "Perception/single/b2374355-900a-4e7a-afa0-98a8019cf6c0_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.sidelobe\nD.striping", "answer": "C"}
{"id": "46047f96-7cd0-4cef-afc5-d1b14586c39c", "image_1": "Perception/single/46047f96-7cd0-4cef-afc5-d1b14586c39c_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "2ed411fb-0704-472c-b244-37c46eb5ecf4", "image_1": "Perception/single/2ed411fb-0704-472c-b244-37c46eb5ecf4_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "B"}
{"id": "576ee63b-10e6-431c-a30c-454086f07386", "image_1": "Perception/single/576ee63b-10e6-431c-a30c-454086f07386_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.sidelobe\nD.speckle", "answer": "C"}
{"id": "6ee9799c-73fb-472e-a007-7b122df1fdf3", "image_1": "Perception/single/6ee9799c-73fb-472e-a007-7b122df1fdf3_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "B"}
{"id": "5f62894d-c3a4-43e9-b558-f555d9bdcd71", "image_1": "Perception/single/5f62894d-c3a4-43e9-b558-f555d9bdcd71_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "B"}
{"id": "a0bf1635-c763-4513-bdd8-f2af7a76323a", "image_1": "Perception/single/a0bf1635-c763-4513-bdd8-f2af7a76323a_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "B"}
{"id": "d9d7dc95-546f-496a-bd5b-93f158b4cd29", "image_1": "Perception/single/d9d7dc95-546f-496a-bd5b-93f158b4cd29_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "A"}
{"id": "b80c59f0-6188-4199-af68-6af3095096bd", "image_1": "Perception/single/b80c59f0-6188-4199-af68-6af3095096bd_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "A"}
{"id": "6608d3e9-74c4-4890-99d1-281a9241bff8", "image_1": "Perception/single/6608d3e9-74c4-4890-99d1-281a9241bff8_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.striping\nD.speckle", "answer": "B"}
{"id": "f9555711-46a6-4dbb-bcb4-4fc73151a852", "image_1": "Perception/single/f9555711-46a6-4dbb-bcb4-4fc73151a852_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "B"}
{"id": "28c660cc-f62a-473f-b549-ee703eb15857", "image_1": "Perception/single/28c660cc-f62a-473f-b549-ee703eb15857_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "68c04b06-00e7-4033-a94e-259e0be794c5", "image_1": "Perception/single/68c04b06-00e7-4033-a94e-259e0be794c5_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "D"}
{"id": "4a84c93f-18f0-44f5-be67-18ec390aac94", "image_1": "Perception/single/4a84c93f-18f0-44f5-be67-18ec390aac94_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.sidelobe\nD.speckle", "answer": "C"}
{"id": "d25b16b8-b47b-4e42-ad16-200bdcbb99b9", "image_1": "Perception/single/d25b16b8-b47b-4e42-ad16-200bdcbb99b9_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "A"}
{"id": "9547e2b0-cdd0-4fa5-9986-9a1f65be8244", "image_1": "Perception/single/9547e2b0-cdd0-4fa5-9986-9a1f65be8244_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "B"}
{"id": "f59a4ca3-f5f1-4246-9e3c-5ca36b4a9349", "image_1": "Perception/single/f59a4ca3-f5f1-4246-9e3c-5ca36b4a9349_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.speckle\nD.ghosting", "answer": "A"}
{"id": "b8d9ea4f-e1a0-40ae-a68d-ec1ddbe26595", "image_1": "Perception/single/b8d9ea4f-e1a0-40ae-a68d-ec1ddbe26595_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.ghosting\nD.sidelobe", "answer": "D"}
{"id": "30a6910c-88d2-4a11-bccf-75fbf66e4533", "image_1": "Perception/single/30a6910c-88d2-4a11-bccf-75fbf66e4533_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "e9193c06-c62a-451a-b31d-ef4233a38f09", "image_1": "Perception/single/e9193c06-c62a-451a-b31d-ef4233a38f09_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "33b1cca0-6dbc-442c-9e61-c59f471bf066", "image_1": "Perception/single/33b1cca0-6dbc-442c-9e61-c59f471bf066_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "66cda364-7d31-4243-9bf1-a0331e57dcae", "image_1": "Perception/single/66cda364-7d31-4243-9bf1-a0331e57dcae_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.speckle\nD.striping", "answer": "A"}
{"id": "4881bc18-79fc-459b-a3e6-5817a103fae5", "image_1": "Perception/single/4881bc18-79fc-459b-a3e6-5817a103fae5_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.ghosting\nD.speckle", "answer": "B"}
{"id": "b913b538-e085-490f-baa6-145105d7a04d", "image_1": "Perception/single/b913b538-e085-490f-baa6-145105d7a04d_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "B"}
{"id": "d9b1f701-f05b-4fec-b787-1565b8eb4bed", "image_1": "Perception/single/d9b1f701-f05b-4fec-b787-1565b8eb4bed_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "55b85a94-f815-4e71-a3aa-1450736cd9a3", "image_1": "Perception/single/55b85a94-f815-4e71-a3aa-1450736cd9a3_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "D"}
{"id": "82396c4e-692a-4c4c-bc22-231f95223160", "image_1": "Perception/single/82396c4e-692a-4c4c-bc22-231f95223160_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "1cf59a03-bd58-495a-ad35-280f2baeae27", "image_1": "Perception/single/1cf59a03-bd58-495a-ad35-280f2baeae27_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "a9b0f83f-7336-4ed4-a356-72cf51aa8362", "image_1": "Perception/single/a9b0f83f-7336-4ed4-a356-72cf51aa8362_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.sidelobe\nD.striping", "answer": "C"}
{"id": "e40b8e46-a478-44b7-b525-2feb3c73c485", "image_1": "Perception/single/e40b8e46-a478-44b7-b525-2feb3c73c485_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "07a97508-8f4a-4305-a5f5-43a0570eb235", "image_1": "Perception/single/07a97508-8f4a-4305-a5f5-43a0570eb235_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "A"}
{"id": "97edb7c3-42fb-478c-a714-e05bfebba25c", "image_1": "Perception/single/97edb7c3-42fb-478c-a714-e05bfebba25c_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.sidelobe\nD.striping", "answer": "C"}
{"id": "8c226764-6780-4212-93e1-65c17f9217ae", "image_1": "Perception/single/8c226764-6780-4212-93e1-65c17f9217ae_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.speckle\nD.ghosting", "answer": "A"}
{"id": "c89f897f-9de6-4e47-a058-34dee40dcc1f", "image_1": "Perception/single/c89f897f-9de6-4e47-a058-34dee40dcc1f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "B"}
{"id": "18ab2d52-889c-4f73-9de3-5502a72a8de0", "image_1": "Perception/single/18ab2d52-889c-4f73-9de3-5502a72a8de0_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "e87c49ad-0e70-48a8-adde-c771424a02c2", "image_1": "Perception/single/e87c49ad-0e70-48a8-adde-c771424a02c2_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "A"}
{"id": "8f20c1ab-5b0b-48aa-9922-194964ea0d4f", "image_1": "Perception/single/8f20c1ab-5b0b-48aa-9922-194964ea0d4f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "f85c5598-136d-4591-8a70-963201117e06", "image_1": "Perception/single/f85c5598-136d-4591-8a70-963201117e06_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "f2a2b47a-edc2-40a7-b6d1-54624ac1c93f", "image_1": "Perception/single/f2a2b47a-edc2-40a7-b6d1-54624ac1c93f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "B"}
{"id": "141c9664-5474-4854-8c6e-68d7c7646f16", "image_1": "Perception/single/141c9664-5474-4854-8c6e-68d7c7646f16_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.sidelobe\nD.striping", "answer": "C"}
{"id": "4326fb10-6571-4bc6-8583-2596d878027a", "image_1": "Perception/single/4326fb10-6571-4bc6-8583-2596d878027a_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.sidelobe\nD.striping", "answer": "C"}
{"id": "a31ff1db-e2c9-4175-8145-8fb803ab00cb", "image_1": "Perception/single/a31ff1db-e2c9-4175-8145-8fb803ab00cb_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "baff3998-12fb-41fa-b594-6692b5c5b801", "image_1": "Perception/single/baff3998-12fb-41fa-b594-6692b5c5b801_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "e9805e83-435d-4711-a33f-7bae550dbcad", "image_1": "Perception/single/e9805e83-435d-4711-a33f-7bae550dbcad_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "B"}
{"id": "34cbb5e9-58f6-40cc-a8ce-736fbf4039ca", "image_1": "Perception/single/34cbb5e9-58f6-40cc-a8ce-736fbf4039ca_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "44a2a6a9-9f9d-421b-8c87-347135544eca", "image_1": "Perception/single/44a2a6a9-9f9d-421b-8c87-347135544eca_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.speckle\nD.ghosting", "answer": "A"}
{"id": "40772e00-d570-4a7f-8c67-2fa25207ad9b", "image_1": "Perception/single/40772e00-d570-4a7f-8c67-2fa25207ad9b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "B"}
{"id": "b9575f1e-c3f6-46b5-ac6f-c9aae63ce143", "image_1": "Perception/single/b9575f1e-c3f6-46b5-ac6f-c9aae63ce143_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "ed0ac7d8-7bea-4533-8610-066d55c8efe9", "image_1": "Perception/single/ed0ac7d8-7bea-4533-8610-066d55c8efe9_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "D"}
{"id": "7e4b91fa-90b1-4029-9925-df90e6a83278", "image_1": "Perception/single/7e4b91fa-90b1-4029-9925-df90e6a83278_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "6d8d4b9e-ea28-49e2-a79b-1de91b4d20b4", "image_1": "Perception/single/6d8d4b9e-ea28-49e2-a79b-1de91b4d20b4_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "c30c6196-d1a4-47eb-8bd6-0dc2c7d68407", "image_1": "Perception/single/c30c6196-d1a4-47eb-8bd6-0dc2c7d68407_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "D"}
{"id": "3a2b6457-d554-4291-afc8-62f01e785780", "image_1": "Perception/single/3a2b6457-d554-4291-afc8-62f01e785780_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "C"}
{"id": "f9cb527a-5da9-48e7-8cd9-a1b2516c7ad9", "image_1": "Perception/single/f9cb527a-5da9-48e7-8cd9-a1b2516c7ad9_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "B"}
{"id": "0614f775-aaca-4f84-9dbc-34d49aab4ec7", "image_1": "Perception/single/0614f775-aaca-4f84-9dbc-34d49aab4ec7_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "A"}
{"id": "0dfcbc79-fd8c-4813-93d0-3a7ff14d0035", "image_1": "Perception/single/0dfcbc79-fd8c-4813-93d0-3a7ff14d0035_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "D"}
{"id": "745b1458-a02e-43fd-a282-4ef3fb6678f3", "image_1": "Perception/single/745b1458-a02e-43fd-a282-4ef3fb6678f3_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "A"}
{"id": "a2b4c80e-62d5-45bf-9912-42e8e3368072", "image_1": "Perception/single/a2b4c80e-62d5-45bf-9912-42e8e3368072_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.striping\nD.speckle", "answer": "B"}
{"id": "8a0188bc-5126-4203-9546-964cf687bc28", "image_1": "Perception/single/8a0188bc-5126-4203-9546-964cf687bc28_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "B"}
{"id": "d3bbe173-9eba-48be-8b57-cc09ee7a5b3d", "image_1": "Perception/single/d3bbe173-9eba-48be-8b57-cc09ee7a5b3d_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.sidelobe\nD.speckle", "answer": "C"}
{"id": "26462ba5-5721-41f2-aa71-b2fa5870dce2", "image_1": "Perception/single/26462ba5-5721-41f2-aa71-b2fa5870dce2_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "A"}
{"id": "b839945d-55b3-44fd-b61d-01e71c91e383", "image_1": "Perception/single/b839945d-55b3-44fd-b61d-01e71c91e383_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "A"}
{"id": "50daea93-6662-410b-9dd3-907dbea41183", "image_1": "Perception/single/50daea93-6662-410b-9dd3-907dbea41183_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "6868d20d-41f2-49de-89b9-ab89d58ad244", "image_1": "Perception/single/6868d20d-41f2-49de-89b9-ab89d58ad244_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "A"}
{"id": "5c642e2c-0372-4981-b531-5e848eb033d8", "image_1": "Perception/single/5c642e2c-0372-4981-b531-5e848eb033d8_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "D"}
{"id": "b2f86ee3-d749-4393-b6c5-0a7428bf28d3", "image_1": "Perception/single/b2f86ee3-d749-4393-b6c5-0a7428bf28d3_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.sidelobe\nD.speckle", "answer": "C"}
{"id": "025fb765-fc20-4b91-ba18-54004d669b68", "image_1": "Perception/single/025fb765-fc20-4b91-ba18-54004d669b68_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "24a81482-4680-4d21-af2e-6d3484d17894", "image_1": "Perception/single/24a81482-4680-4d21-af2e-6d3484d17894_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "A"}
{"id": "83115681-80a2-4fbe-ba6e-cd9cf48d9bfa", "image_1": "Perception/single/83115681-80a2-4fbe-ba6e-cd9cf48d9bfa_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.striping\nD.speckle", "answer": "D"}
{"id": "21dadb05-bf47-4b6a-b6b7-f45f2703c78e", "image_1": "Perception/single/21dadb05-bf47-4b6a-b6b7-f45f2703c78e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "515f3a6a-db44-4fa8-8991-e8734f06f299", "image_1": "Perception/single/515f3a6a-db44-4fa8-8991-e8734f06f299_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "A"}
{"id": "9d10b3e8-6fd7-46c5-b2e7-3305f53c2aad", "image_1": "Perception/single/9d10b3e8-6fd7-46c5-b2e7-3305f53c2aad_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "A"}
{"id": "df32e1f7-3704-4dbb-bcc9-8a5101740865", "image_1": "Perception/single/df32e1f7-3704-4dbb-bcc9-8a5101740865_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "A"}
{"id": "c1f4afe4-ac4d-45e3-9946-03d4bfd0742f", "image_1": "Perception/single/c1f4afe4-ac4d-45e3-9946-03d4bfd0742f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "A"}
{"id": "a5293851-8266-4b35-9df2-768c7628979d", "image_1": "Perception/single/a5293851-8266-4b35-9df2-768c7628979d_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.sidelobe\nD.speckle", "answer": "D"}
{"id": "63a7028a-9a1d-4bfb-8300-bd32e9e93bc4", "image_1": "Perception/single/63a7028a-9a1d-4bfb-8300-bd32e9e93bc4_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.striping\nD.ghosting", "answer": "B"}
{"id": "52f020ca-3c24-4072-bdf6-5b4e152e24cb", "image_1": "Perception/single/52f020ca-3c24-4072-bdf6-5b4e152e24cb_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.striping\nD.ghosting", "answer": "B"}
{"id": "f0ceb21b-8b7c-4d84-baac-1624a1da9d82", "image_1": "Perception/single/f0ceb21b-8b7c-4d84-baac-1624a1da9d82_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.sidelobe\nD.speckle", "answer": "D"}
{"id": "9e4dce7f-aa4a-43f0-ab64-af42a058cd3c", "image_1": "Perception/single/9e4dce7f-aa4a-43f0-ab64-af42a058cd3c_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.sidelobe\nD.striping", "answer": "B"}
{"id": "b41a7e79-8f1c-4f8a-b615-fccdecc417dc", "image_1": "Perception/single/b41a7e79-8f1c-4f8a-b615-fccdecc417dc_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.sidelobe\nD.striping", "answer": "B"}
{"id": "e234b514-b2d9-4e0f-b0de-ef738f006fba", "image_1": "Perception/single/e234b514-b2d9-4e0f-b0de-ef738f006fba_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "B"}
{"id": "4ae1839c-dbea-423c-8969-2c001d52dce5", "image_1": "Perception/single/4ae1839c-dbea-423c-8969-2c001d52dce5_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.ghosting\nD.sidelobe", "answer": "B"}
{"id": "95546c1e-a371-41cf-bc07-928bb84d7792", "image_1": "Perception/single/95546c1e-a371-41cf-bc07-928bb84d7792_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "D"}
{"id": "fe89d49f-aa7c-4084-bf0c-0094dd65a759", "image_1": "Perception/single/fe89d49f-aa7c-4084-bf0c-0094dd65a759_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "784ceb1b-b246-4cf0-90b0-e0cdfcb96eb3", "image_1": "Perception/single/784ceb1b-b246-4cf0-90b0-e0cdfcb96eb3_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.speckle\nD.ghosting", "answer": "C"}
{"id": "8f643bf6-5f70-4b20-b43b-6c01999524c0", "image_1": "Perception/single/8f643bf6-5f70-4b20-b43b-6c01999524c0_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "D"}
{"id": "ab30e020-1e64-4ebe-adf0-36671e86e5f1", "image_1": "Perception/single/ab30e020-1e64-4ebe-adf0-36671e86e5f1_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "A"}
{"id": "9db5e65d-0bcf-40b1-9ea0-9a814dbd7ebf", "image_1": "Perception/single/9db5e65d-0bcf-40b1-9ea0-9a814dbd7ebf_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "C"}
{"id": "160ea20b-77c9-43eb-96ac-eea0fb276625", "image_1": "Perception/single/160ea20b-77c9-43eb-96ac-eea0fb276625_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.sidelobe\nD.striping", "answer": "B"}
{"id": "77fe3d68-0da9-4da6-9efe-94d69fabe412", "image_1": "Perception/single/77fe3d68-0da9-4da6-9efe-94d69fabe412_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.striping\nD.ghosting", "answer": "B"}
{"id": "a5e2c5c5-c210-4d4c-8c75-c60fc562f6af", "image_1": "Perception/single/a5e2c5c5-c210-4d4c-8c75-c60fc562f6af_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.sidelobe\nD.speckle", "answer": "D"}
{"id": "8f309eaf-0130-473f-addd-4521d86e9032", "image_1": "Perception/single/8f309eaf-0130-473f-addd-4521d86e9032_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "70df3f48-79cd-4d60-a29c-62dda4b146f3", "image_1": "Perception/single/70df3f48-79cd-4d60-a29c-62dda4b146f3_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "B"}
{"id": "31580ee7-1944-4385-80d3-b10309548da6", "image_1": "Perception/single/31580ee7-1944-4385-80d3-b10309548da6_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "C"}
{"id": "aa08aaae-9366-41c4-82bf-674e4514197f", "image_1": "Perception/single/aa08aaae-9366-41c4-82bf-674e4514197f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.striping\nD.ghosting", "answer": "B"}
{"id": "bcae2d1e-ff7f-44e4-a1c0-34db6b2c3598", "image_1": "Perception/single/bcae2d1e-ff7f-44e4-a1c0-34db6b2c3598_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.ghosting\nD.sidelobe", "answer": "B"}
{"id": "30866fb1-7c68-40bf-998a-a7fffae64628", "image_1": "Perception/single/30866fb1-7c68-40bf-998a-a7fffae64628_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.ghosting\nD.sidelobe", "answer": "B"}
{"id": "c58df1bb-dd54-40bc-9666-99e67a3ab749", "image_1": "Perception/single/c58df1bb-dd54-40bc-9666-99e67a3ab749_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.sidelobe\nD.striping", "answer": "A"}
{"id": "1c45fd71-6959-4f39-b0ec-1371754c9d9e", "image_1": "Perception/single/1c45fd71-6959-4f39-b0ec-1371754c9d9e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.striping\nD.ghosting", "answer": "B"}
{"id": "eb6feaf5-84b3-4a3a-8194-7776cc11abb8", "image_1": "Perception/single/eb6feaf5-84b3-4a3a-8194-7776cc11abb8_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "53bdab1c-2f8c-47b0-952a-f18c18b75d45", "image_1": "Perception/single/53bdab1c-2f8c-47b0-952a-f18c18b75d45_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.ghosting\nD.sidelobe", "answer": "B"}
{"id": "97f67537-8ec8-469a-9130-014b7a71c271", "image_1": "Perception/single/97f67537-8ec8-469a-9130-014b7a71c271_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.sidelobe\nD.striping", "answer": "A"}
{"id": "2c4bdb2d-736e-4223-9fd6-d7cef4a58ebe", "image_1": "Perception/single/2c4bdb2d-736e-4223-9fd6-d7cef4a58ebe_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.speckle\nD.ghosting", "answer": "C"}
{"id": "f7d50e0c-41d6-4611-847a-05baa2c60558", "image_1": "Perception/single/f7d50e0c-41d6-4611-847a-05baa2c60558_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "64f8d0d1-5f89-4fe9-8c81-6339ee6ccec2", "image_1": "Perception/single/64f8d0d1-5f89-4fe9-8c81-6339ee6ccec2_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "D"}
{"id": "908971e8-cbed-4ad9-9594-20adf44b4064", "image_1": "Perception/single/908971e8-cbed-4ad9-9594-20adf44b4064_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "B"}
{"id": "86473e04-d273-4d9e-a99f-b695a9b8af37", "image_1": "Perception/single/86473e04-d273-4d9e-a99f-b695a9b8af37_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "e7d1e0cf-da88-40d5-bee0-38fa15cab349", "image_1": "Perception/single/e7d1e0cf-da88-40d5-bee0-38fa15cab349_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "A"}
{"id": "33ba70a6-997b-48b1-ab7e-d1fdd186e5d2", "image_1": "Perception/single/33ba70a6-997b-48b1-ab7e-d1fdd186e5d2_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.sidelobe\nD.speckle", "answer": "D"}
{"id": "5d9a729e-a029-4d31-841d-3cfad8f2d82b", "image_1": "Perception/single/5d9a729e-a029-4d31-841d-3cfad8f2d82b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.ghosting\nD.sidelobe", "answer": "B"}
{"id": "798d223c-c76f-4ad7-8a17-8ac2cfdf6c66", "image_1": "Perception/single/798d223c-c76f-4ad7-8a17-8ac2cfdf6c66_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "8b1e5f80-de32-4502-bd5b-f77280e299b6", "image_1": "Perception/single/8b1e5f80-de32-4502-bd5b-f77280e299b6_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "C"}
{"id": "3741c35b-db11-407d-a53c-e8aebc2093f5", "image_1": "Perception/single/3741c35b-db11-407d-a53c-e8aebc2093f5_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "D"}
{"id": "69c703dc-4b94-48e5-a0aa-420dafdc498b", "image_1": "Perception/single/69c703dc-4b94-48e5-a0aa-420dafdc498b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "6100065a-822b-4f28-9b84-cbe9f2b30f33", "image_1": "Perception/single/6100065a-822b-4f28-9b84-cbe9f2b30f33_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.striping\nD.ghosting", "answer": "B"}
{"id": "ffb31f9e-928a-4e07-9e98-740b7a853ed7", "image_1": "Perception/single/ffb31f9e-928a-4e07-9e98-740b7a853ed7_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "C"}
{"id": "7200f9a1-b808-4774-8521-63f5a93bd67d", "image_1": "Perception/single/7200f9a1-b808-4774-8521-63f5a93bd67d_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.striping\nD.speckle", "answer": "D"}
{"id": "67148326-e9a5-4097-951b-8a49a1e9df04", "image_1": "Perception/single/67148326-e9a5-4097-951b-8a49a1e9df04_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "A"}
{"id": "3d079e89-8039-4baa-abad-faf152507649", "image_1": "Perception/single/3d079e89-8039-4baa-abad-faf152507649_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.striping\nD.speckle", "answer": "D"}
{"id": "77f00309-a6a6-414a-a5f7-9cd6425bbb2e", "image_1": "Perception/single/77f00309-a6a6-414a-a5f7-9cd6425bbb2e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "5c3f5219-6a39-4fad-bed8-f484065190df", "image_1": "Perception/single/5c3f5219-6a39-4fad-bed8-f484065190df_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "A"}
{"id": "fa558556-06c4-4de3-9cfa-1f1a9a1a37ca", "image_1": "Perception/single/fa558556-06c4-4de3-9cfa-1f1a9a1a37ca_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "C"}
{"id": "86007005-8e46-4cb0-b664-e05f0b1811bf", "image_1": "Perception/single/86007005-8e46-4cb0-b664-e05f0b1811bf_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "A"}
{"id": "a518b60a-f275-437a-9d07-b6dc07aeeea3", "image_1": "Perception/single/a518b60a-f275-437a-9d07-b6dc07aeeea3_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "B"}
{"id": "8a8b8331-f343-4c13-9195-8d5b5b8898c2", "image_1": "Perception/single/8a8b8331-f343-4c13-9195-8d5b5b8898c2_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "A"}
{"id": "a69df805-f285-4c02-b9e3-8197549772d2", "image_1": "Perception/single/a69df805-f285-4c02-b9e3-8197549772d2_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "A"}
{"id": "53adbebd-56b7-4cb7-9ae6-b1ee03e95713", "image_1": "Perception/single/53adbebd-56b7-4cb7-9ae6-b1ee03e95713_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.striping\nD.speckle", "answer": "D"}
{"id": "a8010d91-bf97-4d47-aff8-eabcaf6ba7b0", "image_1": "Perception/single/a8010d91-bf97-4d47-aff8-eabcaf6ba7b0_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "C"}
{"id": "4a36252e-41ad-4df6-a480-9133ce1ed7ab", "image_1": "Perception/single/4a36252e-41ad-4df6-a480-9133ce1ed7ab_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "B"}
{"id": "1ba80212-cae3-4631-a4e5-018788fb80c4", "image_1": "Perception/single/1ba80212-cae3-4631-a4e5-018788fb80c4_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "A"}
{"id": "3ed0ede9-ea92-4ffb-9f8a-e14086fb2d0f", "image_1": "Perception/single/3ed0ede9-ea92-4ffb-9f8a-e14086fb2d0f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "D"}
{"id": "26a98c79-c40a-4bbe-8077-f267c6060a35", "image_1": "Perception/single/26a98c79-c40a-4bbe-8077-f267c6060a35_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "D"}
{"id": "82b56ef4-999c-4ef1-905f-5bc3a5746066", "image_1": "Perception/single/82b56ef4-999c-4ef1-905f-5bc3a5746066_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.sidelobe\nD.speckle", "answer": "D"}
{"id": "f40d656f-7530-4285-ae1c-3afe80ddd6ff", "image_1": "Perception/single/f40d656f-7530-4285-ae1c-3afe80ddd6ff_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "C"}
{"id": "40cb9d2d-3c83-4aef-bcef-cf485008ea5a", "image_1": "Perception/single/40cb9d2d-3c83-4aef-bcef-cf485008ea5a_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "C"}
{"id": "1dce264f-8840-406a-a140-f0d026e91007", "image_1": "Perception/single/1dce264f-8840-406a-a140-f0d026e91007_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "450c10c4-65ad-486c-91d8-da53d4a20d30", "image_1": "Perception/single/450c10c4-65ad-486c-91d8-da53d4a20d30_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "C"}
{"id": "5076e979-b7bb-41e5-975d-e23734807b51", "image_1": "Perception/single/5076e979-b7bb-41e5-975d-e23734807b51_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "ec1d9453-a12b-4bb9-ad40-f0ac78984744", "image_1": "Perception/single/ec1d9453-a12b-4bb9-ad40-f0ac78984744_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "959518ae-9e83-4ab2-9ae2-9facc6c588bc", "image_1": "Perception/single/959518ae-9e83-4ab2-9ae2-9facc6c588bc_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "B"}
{"id": "73ac8f5d-ce6c-4fe7-9d45-bab64c9a6d8e", "image_1": "Perception/single/73ac8f5d-ce6c-4fe7-9d45-bab64c9a6d8e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "A"}
{"id": "3e758c57-9144-49a9-87d9-dedff4a6c89f", "image_1": "Perception/single/3e758c57-9144-49a9-87d9-dedff4a6c89f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "A"}
{"id": "5b43e745-6bb4-4a1c-b9f7-f4e42e78730f", "image_1": "Perception/single/5b43e745-6bb4-4a1c-b9f7-f4e42e78730f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.speckle\nD.striping", "answer": "C"}
{"id": "15addda5-4bf9-4c8c-98a3-862fea7e5396", "image_1": "Perception/single/15addda5-4bf9-4c8c-98a3-862fea7e5396_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "A"}
{"id": "48784bc2-8782-4107-8ab1-b0fb9bb2810f", "image_1": "Perception/single/48784bc2-8782-4107-8ab1-b0fb9bb2810f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "5e6b2773-c7c0-4b4f-83b1-6835439f69b4", "image_1": "Perception/single/5e6b2773-c7c0-4b4f-83b1-6835439f69b4_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "A"}
{"id": "f47eda0c-af45-4124-9f0e-269e1ec747a2", "image_1": "Perception/single/f47eda0c-af45-4124-9f0e-269e1ec747a2_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "A"}
{"id": "57fcfa78-3f4a-48a8-b706-b0207e2a2f42", "image_1": "Perception/single/57fcfa78-3f4a-48a8-b706-b0207e2a2f42_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "6a500be9-92a1-4744-b35b-41621267dfaf", "image_1": "Perception/single/6a500be9-92a1-4744-b35b-41621267dfaf_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "A"}
{"id": "5a387e2f-feb0-4f8c-925e-19b0745623f4", "image_1": "Perception/single/5a387e2f-feb0-4f8c-925e-19b0745623f4_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "B"}
{"id": "60326ee5-66fb-4865-a094-cb9fd9f8c6c2", "image_1": "Perception/single/60326ee5-66fb-4865-a094-cb9fd9f8c6c2_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.sidelobe\nD.speckle", "answer": "D"}
{"id": "09868960-b8aa-4418-81ec-57f42d7b8f78", "image_1": "Perception/single/09868960-b8aa-4418-81ec-57f42d7b8f78_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.sidelobe\nD.striping", "answer": "A"}
{"id": "841b3283-6c98-4cd6-848c-a6c4c836ff5b", "image_1": "Perception/single/841b3283-6c98-4cd6-848c-a6c4c836ff5b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.sidelobe\nD.speckle", "answer": "D"}
{"id": "2cc6dc0e-8dc5-4358-a259-31839e4c362d", "image_1": "Perception/single/2cc6dc0e-8dc5-4358-a259-31839e4c362d_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "D"}
{"id": "9ede810b-acef-47fa-a230-aa87352c3366", "image_1": "Perception/single/9ede810b-acef-47fa-a230-aa87352c3366_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.ghosting\nD.sidelobe", "answer": "B"}
{"id": "19769e72-4e18-4c45-9533-8e8f7ba23bf0", "image_1": "Perception/single/19769e72-4e18-4c45-9533-8e8f7ba23bf0_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.speckle\nD.striping", "answer": "C"}
{"id": "83ba30e3-7ce7-4720-9f89-8b94ea28d059", "image_1": "Perception/single/83ba30e3-7ce7-4720-9f89-8b94ea28d059_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.sidelobe\nD.striping", "answer": "A"}
{"id": "c344bf57-4562-45e3-a9ed-7342133dc8a8", "image_1": "Perception/single/c344bf57-4562-45e3-a9ed-7342133dc8a8_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "D"}
{"id": "fa2d9b19-ae85-474c-a108-d06430366eef", "image_1": "Perception/single/fa2d9b19-ae85-474c-a108-d06430366eef_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.speckle\nD.striping", "answer": "C"}
{"id": "2eafee70-6391-413b-aedf-15d687703dc9", "image_1": "Perception/single/2eafee70-6391-413b-aedf-15d687703dc9_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "3141537b-a0e2-4bfc-9d43-4ca1865e1d49", "image_1": "Perception/single/3141537b-a0e2-4bfc-9d43-4ca1865e1d49_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.striping\nD.speckle", "answer": "D"}
{"id": "ba9f8d7a-9d4c-4304-a9fa-9d2f51a42a3b", "image_1": "Perception/single/ba9f8d7a-9d4c-4304-a9fa-9d2f51a42a3b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "6379579a-8475-4c90-ae85-6e6795840f79", "image_1": "Perception/single/6379579a-8475-4c90-ae85-6e6795840f79_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "A"}
{"id": "83fe9a6c-b67d-4258-a85d-a15d345a2e3e", "image_1": "Perception/single/83fe9a6c-b67d-4258-a85d-a15d345a2e3e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.sidelobe\nD.striping", "answer": "B"}
{"id": "53d6300d-042f-46af-a854-19fb786930be", "image_1": "Perception/single/53d6300d-042f-46af-a854-19fb786930be_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "A"}
{"id": "3c63271c-5a8e-42ac-ae34-18a266d2ca4f", "image_1": "Perception/single/3c63271c-5a8e-42ac-ae34-18a266d2ca4f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "A"}
{"id": "88dc3260-72ca-4d15-b171-7c4b2887a073", "image_1": "Perception/single/88dc3260-72ca-4d15-b171-7c4b2887a073_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.speckle\nD.striping", "answer": "C"}
{"id": "ec411620-690d-432f-8b27-a12f6ec7d4bb", "image_1": "Perception/single/ec411620-690d-432f-8b27-a12f6ec7d4bb_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.striping\nD.speckle", "answer": "D"}
{"id": "a5984cd3-4bb5-45f1-a62c-7a4c7fbbccbb", "image_1": "Perception/single/a5984cd3-4bb5-45f1-a62c-7a4c7fbbccbb_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "D"}
{"id": "dc710e14-e41f-4f3c-836d-33e8e6b28aaf", "image_1": "Perception/single/dc710e14-e41f-4f3c-836d-33e8e6b28aaf_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.sidelobe\nD.speckle", "answer": "D"}
{"id": "49945f64-79bf-483b-a3f1-a88cd9378678", "image_1": "Perception/single/49945f64-79bf-483b-a3f1-a88cd9378678_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "C"}
{"id": "25d5ad15-135b-4256-86bf-2ba524a2d565", "image_1": "Perception/single/25d5ad15-135b-4256-86bf-2ba524a2d565_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "5d44fa16-f0bb-4f89-8e3c-26bd3fbd5821", "image_1": "Perception/single/5d44fa16-f0bb-4f89-8e3c-26bd3fbd5821_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "B"}
{"id": "ea096bbf-11e5-4097-82f0-814fac1108f8", "image_1": "Perception/single/ea096bbf-11e5-4097-82f0-814fac1108f8_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "A"}
{"id": "f4bce789-c1b4-4c71-895d-a5f586d323e9", "image_1": "Perception/single/f4bce789-c1b4-4c71-895d-a5f586d323e9_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "db43cdb3-087c-441a-9992-28f78291c490", "image_1": "Perception/single/db43cdb3-087c-441a-9992-28f78291c490_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.sidelobe\nD.striping", "answer": "B"}
{"id": "2c8147b4-acb8-4838-911e-1cdc1e14634f", "image_1": "Perception/single/2c8147b4-acb8-4838-911e-1cdc1e14634f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "D"}
{"id": "e8ec8095-7900-49b8-8649-c33e50b22341", "image_1": "Perception/single/e8ec8095-7900-49b8-8649-c33e50b22341_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "C"}
{"id": "af8f0d50-0f33-44fa-8a24-8a00ab47df6f", "image_1": "Perception/single/af8f0d50-0f33-44fa-8a24-8a00ab47df6f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "C"}
{"id": "5dd5b4e6-653c-43a1-bea7-73ea5f779d4b", "image_1": "Perception/single/5dd5b4e6-653c-43a1-bea7-73ea5f779d4b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.sidelobe\nD.striping", "answer": "A"}
{"id": "0f1057a6-9b61-41a7-b9f2-94f2e176bc08", "image_1": "Perception/single/0f1057a6-9b61-41a7-b9f2-94f2e176bc08_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "C"}
{"id": "2466bb71-ac4e-4214-b71c-1ab5e09f0b2a", "image_1": "Perception/single/2466bb71-ac4e-4214-b71c-1ab5e09f0b2a_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.speckle\nD.striping", "answer": "C"}
{"id": "f6309b8b-c574-4aa4-9d1e-c7f488b70dde", "image_1": "Perception/single/f6309b8b-c574-4aa4-9d1e-c7f488b70dde_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "A"}
{"id": "100232e5-5e99-478a-9c4f-39d3efc0fdfd", "image_1": "Perception/single/100232e5-5e99-478a-9c4f-39d3efc0fdfd_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.striping\nD.speckle", "answer": "D"}
{"id": "320633aa-d5d7-4408-b107-ae7c5619cd3c", "image_1": "Perception/single/320633aa-d5d7-4408-b107-ae7c5619cd3c_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "A"}
{"id": "743cfd6b-7a6a-42e3-989b-00983dae6835", "image_1": "Perception/single/743cfd6b-7a6a-42e3-989b-00983dae6835_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "ef26d797-8790-48d2-8798-f1266b9e9e0b", "image_1": "Perception/single/ef26d797-8790-48d2-8798-f1266b9e9e0b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "B"}
{"id": "934f548f-b0ed-4974-968e-e4bd2596fd92", "image_1": "Perception/single/934f548f-b0ed-4974-968e-e4bd2596fd92_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "b5bb4e9f-f5ad-47e1-89b7-4771eb30400d", "image_1": "Perception/single/b5bb4e9f-f5ad-47e1-89b7-4771eb30400d_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "A"}
{"id": "7ae4ab49-f92f-4901-bd63-92b92d933c37", "image_1": "Perception/single/7ae4ab49-f92f-4901-bd63-92b92d933c37_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "e6f6a318-9117-4417-bb7b-68429c3e7d06", "image_1": "Perception/single/e6f6a318-9117-4417-bb7b-68429c3e7d06_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "0bf94a67-4eec-4a73-aa99-9a5c03e2b1ac", "image_1": "Perception/single/0bf94a67-4eec-4a73-aa99-9a5c03e2b1ac_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "2b214ba7-9567-48ea-a3ff-4f73a2d79a5b", "image_1": "Perception/single/2b214ba7-9567-48ea-a3ff-4f73a2d79a5b_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "B"}
{"id": "7e1f233a-3670-4103-bef4-9819f5b749b0", "image_1": "Perception/single/7e1f233a-3670-4103-bef4-9819f5b749b0_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "A"}
{"id": "40f959b8-6698-4bb6-bcd7-e483d1072abe", "image_1": "Perception/single/40f959b8-6698-4bb6-bcd7-e483d1072abe_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "B"}
{"id": "c396172b-78cf-4f20-a122-9f618f14f7c6", "image_1": "Perception/single/c396172b-78cf-4f20-a122-9f618f14f7c6_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.sidelobe\nD.speckle", "answer": "D"}
{"id": "11df8808-5cd3-4644-b4d9-c8ffad89c96b", "image_1": "Perception/single/11df8808-5cd3-4644-b4d9-c8ffad89c96b_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "D"}
{"id": "58536b31-b78c-48b4-b717-0cffc90094da", "image_1": "Perception/single/58536b31-b78c-48b4-b717-0cffc90094da_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "A"}
{"id": "19c061c3-645f-4b96-93dd-fcb79dfc5265", "image_1": "Perception/single/19c061c3-645f-4b96-93dd-fcb79dfc5265_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "B"}
{"id": "ea598d5f-a990-4a6c-9522-327b17bfed2a", "image_1": "Perception/single/ea598d5f-a990-4a6c-9522-327b17bfed2a_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.striping\nD.ghosting", "answer": "A"}
{"id": "8289808b-59be-4d64-8779-8d6aa29edb14", "image_1": "Perception/single/8289808b-59be-4d64-8779-8d6aa29edb14_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.sidelobe\nD.striping", "answer": "A"}
{"id": "9871b5ee-28f3-41cc-b8ea-16c3eaf14e77", "image_1": "Perception/single/9871b5ee-28f3-41cc-b8ea-16c3eaf14e77_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "C"}
{"id": "5c9477ad-6e91-4d12-afd4-57e777e7ce33", "image_1": "Perception/single/5c9477ad-6e91-4d12-afd4-57e777e7ce33_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "B"}
{"id": "3cb69945-4282-4bad-9d27-2224638bbdc5", "image_1": "Perception/single/3cb69945-4282-4bad-9d27-2224638bbdc5_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "A"}
{"id": "d21a3d59-31b6-4bbc-8a6a-50d3f816f9d2", "image_1": "Perception/single/d21a3d59-31b6-4bbc-8a6a-50d3f816f9d2_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "C"}
{"id": "d3190916-3aec-4bda-8579-5a422941b3d8", "image_1": "Perception/single/d3190916-3aec-4bda-8579-5a422941b3d8_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "D"}
{"id": "cabdca29-33d2-4a0f-b92a-5414a3a7a6a2", "image_1": "Perception/single/cabdca29-33d2-4a0f-b92a-5414a3a7a6a2_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "28089dce-84b2-4174-965c-cb76f44c5341", "image_1": "Perception/single/28089dce-84b2-4174-965c-cb76f44c5341_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "B"}
{"id": "651fb4d0-a875-4df5-82f5-01890bcd2201", "image_1": "Perception/single/651fb4d0-a875-4df5-82f5-01890bcd2201_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "A"}
{"id": "e7668f89-e9d1-4157-90b7-72fa7b794ebc", "image_1": "Perception/single/e7668f89-e9d1-4157-90b7-72fa7b794ebc_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "B"}
{"id": "d82c31df-426b-4d69-b0e6-0573b777c1fc", "image_1": "Perception/single/d82c31df-426b-4d69-b0e6-0573b777c1fc_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "C"}
{"id": "f6374c61-3f94-4e5c-9ce7-1122a404e46f", "image_1": "Perception/single/f6374c61-3f94-4e5c-9ce7-1122a404e46f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "A"}
{"id": "eca78b95-6a13-4b2a-b9fc-7f292901af9b", "image_1": "Perception/single/eca78b95-6a13-4b2a-b9fc-7f292901af9b_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "C"}
{"id": "c9e04c3e-2764-4f65-8d8d-4a9bdf38c286", "image_1": "Perception/single/c9e04c3e-2764-4f65-8d8d-4a9bdf38c286_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.sidelobe\nD.speckle", "answer": "D"}
{"id": "3ed885d8-8982-4e53-8d13-236f3634e880", "image_1": "Perception/single/3ed885d8-8982-4e53-8d13-236f3634e880_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "D"}
{"id": "2e2bf618-c518-4151-9fd6-a1d4e5e764e7", "image_1": "Perception/single/2e2bf618-c518-4151-9fd6-a1d4e5e764e7_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "C"}
{"id": "3f8d0091-4bbe-4e48-89e2-b3d563c34963", "image_1": "Perception/single/3f8d0091-4bbe-4e48-89e2-b3d563c34963_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "B"}
{"id": "3ea58174-d505-44b6-ac18-ee2acaafe6e3", "image_1": "Perception/single/3ea58174-d505-44b6-ac18-ee2acaafe6e3_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.sidelobe\nC.speckle\nD.ghosting", "answer": "C"}
{"id": "67c73126-265b-471e-9610-57d9e32debeb", "image_1": "Perception/single/67c73126-265b-471e-9610-57d9e32debeb_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "A"}
{"id": "1c1d87f2-e1c6-424d-9a6d-2e754d471985", "image_1": "Perception/single/1c1d87f2-e1c6-424d-9a6d-2e754d471985_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.speckle\nD.ghosting", "answer": "C"}
{"id": "f24898e4-9a0e-445e-a097-974065726dd8", "image_1": "Perception/single/f24898e4-9a0e-445e-a097-974065726dd8_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "A"}
{"id": "4e7af0b3-7a56-4912-a1cd-eaa82c266c59", "image_1": "Perception/single/4e7af0b3-7a56-4912-a1cd-eaa82c266c59_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.speckle\nD.striping", "answer": "C"}
{"id": "ab109e95-4c12-47a4-98a0-2184235e4eda", "image_1": "Perception/single/ab109e95-4c12-47a4-98a0-2184235e4eda_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "B"}
{"id": "d9b7a39d-010c-4656-9027-68ddbe9d69f7", "image_1": "Perception/single/d9b7a39d-010c-4656-9027-68ddbe9d69f7_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "B"}
{"id": "dfb7aca7-bd49-45f1-9ecf-51953eddc379", "image_1": "Perception/single/dfb7aca7-bd49-45f1-9ecf-51953eddc379_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "73c3b984-65fd-46e0-aa46-2d8f61876398", "image_1": "Perception/single/73c3b984-65fd-46e0-aa46-2d8f61876398_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.striping\nD.ghosting", "answer": "B"}
{"id": "532e7045-1e2e-4d47-88c5-f8071883a6b9", "image_1": "Perception/single/532e7045-1e2e-4d47-88c5-f8071883a6b9_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "A"}
{"id": "88eb85ed-0641-40dd-b995-7b50c94db550", "image_1": "Perception/single/88eb85ed-0641-40dd-b995-7b50c94db550_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.sidelobe\nC.ghosting\nD.striping", "answer": "A"}
{"id": "f4e7c61a-bb62-40ee-a62e-f2398a393a11", "image_1": "Perception/single/f4e7c61a-bb62-40ee-a62e-f2398a393a11_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.sidelobe\nD.striping", "answer": "A"}
{"id": "4dea2dbe-24e0-45e8-8362-d6464259d952", "image_1": "Perception/single/4dea2dbe-24e0-45e8-8362-d6464259d952_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.ghosting\nD.sidelobe", "answer": "B"}
{"id": "a09e1359-cf96-4c9e-8efd-a5406f940eab", "image_1": "Perception/single/a09e1359-cf96-4c9e-8efd-a5406f940eab_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "027f00c2-fc4a-4160-94de-904fd9e4c121", "image_1": "Perception/single/027f00c2-fc4a-4160-94de-904fd9e4c121_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.speckle\nD.ghosting", "answer": "C"}
{"id": "23902334-96aa-49db-b209-29cd48c5b739", "image_1": "Perception/single/23902334-96aa-49db-b209-29cd48c5b739_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.ghosting\nD.sidelobe", "answer": "B"}
{"id": "bb0a09f7-d3df-432a-95d8-b528eea2c5f8", "image_1": "Perception/single/bb0a09f7-d3df-432a-95d8-b528eea2c5f8_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.speckle\nD.ghosting", "answer": "C"}
{"id": "2dc7363e-14ca-4eb7-8f0b-3b69b15c48ab", "image_1": "Perception/single/2dc7363e-14ca-4eb7-8f0b-3b69b15c48ab_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "B"}
{"id": "426956fa-f505-424a-994b-43a1340b18e5", "image_1": "Perception/single/426956fa-f505-424a-994b-43a1340b18e5_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "A"}
{"id": "f186ccbe-da43-4a2a-9d7f-1f467a9cc677", "image_1": "Perception/single/f186ccbe-da43-4a2a-9d7f-1f467a9cc677_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "1a793d2d-0095-4d3d-9d63-e993028570cb", "image_1": "Perception/single/1a793d2d-0095-4d3d-9d63-e993028570cb_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "B"}
{"id": "903f4140-d5d0-4954-b428-51d4e17aeef7", "image_1": "Perception/single/903f4140-d5d0-4954-b428-51d4e17aeef7_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.striping\nD.ghosting", "answer": "B"}
{"id": "5438ca28-1f41-44c2-8108-39e0504b0b73", "image_1": "Perception/single/5438ca28-1f41-44c2-8108-39e0504b0b73_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "B"}
{"id": "c93d49bd-8ca5-4485-ad85-ca87bb403590", "image_1": "Perception/single/c93d49bd-8ca5-4485-ad85-ca87bb403590_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "f39da459-d53a-44a8-b6e2-5ee2eff48dc5", "image_1": "Perception/single/f39da459-d53a-44a8-b6e2-5ee2eff48dc5_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "B"}
{"id": "d9825c98-e96a-42b6-9f6f-18798445559b", "image_1": "Perception/single/d9825c98-e96a-42b6-9f6f-18798445559b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "ef75c652-a3a1-4192-954e-3753477475c7", "image_1": "Perception/single/ef75c652-a3a1-4192-954e-3753477475c7_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "b21197d7-4273-471f-99b6-cdab4bd80a43", "image_1": "Perception/single/b21197d7-4273-471f-99b6-cdab4bd80a43_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.striping\nD.speckle", "answer": "D"}
{"id": "89a4dbe8-3329-45e6-be30-d194f9a51912", "image_1": "Perception/single/89a4dbe8-3329-45e6-be30-d194f9a51912_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.striping\nD.sidelobe", "answer": "A"}
{"id": "8430dcef-4830-4092-8a2b-2f0695252387", "image_1": "Perception/single/8430dcef-4830-4092-8a2b-2f0695252387_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.sidelobe\nD.speckle", "answer": "D"}
{"id": "b94a0638-6f0b-46ef-a819-e93be4296f1e", "image_1": "Perception/single/b94a0638-6f0b-46ef-a819-e93be4296f1e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "A"}
{"id": "22af873d-6925-4c77-87d1-bf9d55aef027", "image_1": "Perception/single/22af873d-6925-4c77-87d1-bf9d55aef027_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.sidelobe\nD.striping", "answer": "B"}
{"id": "ce6dd21d-1caf-494a-9e29-72fbda433672", "image_1": "Perception/single/ce6dd21d-1caf-494a-9e29-72fbda433672_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "4692e209-98a8-4066-afb6-50c383c7192e", "image_1": "Perception/single/4692e209-98a8-4066-afb6-50c383c7192e_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "a87b0356-b627-46ce-94e8-070486d50360", "image_1": "Perception/single/a87b0356-b627-46ce-94e8-070486d50360_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "B"}
{"id": "d639942e-b07a-4042-9f1f-cc12d2a6ab59", "image_1": "Perception/single/d639942e-b07a-4042-9f1f-cc12d2a6ab59_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.striping\nC.speckle\nD.sidelobe", "answer": "C"}
{"id": "299e5e0a-37be-40d2-94a4-564dde4cf17b", "image_1": "Perception/single/299e5e0a-37be-40d2-94a4-564dde4cf17b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.striping\nD.sidelobe", "answer": "B"}
{"id": "f5b9f1de-d6f5-4dbf-b6cb-1250624523bd", "image_1": "Perception/single/f5b9f1de-d6f5-4dbf-b6cb-1250624523bd_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.ghosting\nC.sidelobe\nD.speckle", "answer": "D"}
{"id": "67df5e76-b40c-4e14-827b-ab629a91e918", "image_1": "Perception/single/67df5e76-b40c-4e14-827b-ab629a91e918_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.ghosting\nC.speckle\nD.striping", "answer": "C"}
{"id": "b552001f-a171-40bb-99ad-5c687ddebf7b", "image_1": "Perception/single/b552001f-a171-40bb-99ad-5c687ddebf7b_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.sidelobe\nC.speckle\nD.striping", "answer": "C"}
{"id": "8844363f-9006-4dbe-b14a-79322b217f1d", "image_1": "Perception/single/8844363f-9006-4dbe-b14a-79322b217f1d_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "A"}
{"id": "d67166d2-28fe-4337-8ecb-d38a31fe356f", "image_1": "Perception/single/d67166d2-28fe-4337-8ecb-d38a31fe356f_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.ghosting\nC.sidelobe\nD.striping", "answer": "A"}
{"id": "346ef561-ef28-4fc0-b055-40cd0be1faa1", "image_1": "Perception/single/346ef561-ef28-4fc0-b055-40cd0be1faa1_0.png", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.speckle\nC.ghosting\nD.striping", "answer": "B"}
{"id": "b946dbe8-4ef8-483c-ac27-66c7594d4583", "image_1": "Perception/single/b946dbe8-4ef8-483c-ac27-66c7594d4583_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.sidelobe\nD.ghosting", "answer": "A"}
{"id": "2eb057cc-eb08-4247-8a4e-8282697ed195", "image_1": "Perception/single/2eb057cc-eb08-4247-8a4e-8282697ed195_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.ghosting\nB.speckle\nC.sidelobe\nD.striping", "answer": "B"}
{"id": "045a0532-fd07-42d0-94eb-3c08f6dde6ef", "image_1": "Perception/single/045a0532-fd07-42d0-94eb-3c08f6dde6ef_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.speckle\nB.striping\nC.ghosting\nD.sidelobe", "answer": "A"}
{"id": "f56072d3-85c3-4a83-ae74-8206c66e7b44", "image_1": "Perception/single/f56072d3-85c3-4a83-ae74-8206c66e7b44_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.sidelobe\nD.ghosting", "answer": "B"}
{"id": "c8f7c436-dde3-41b3-8a4c-68cc2a94486b", "image_1": "Perception/single/c8f7c436-dde3-41b3-8a4c-68cc2a94486b_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.striping\nB.speckle\nC.ghosting\nD.sidelobe", "answer": "B"}
{"id": "4666860a-2d36-437b-b5bc-64031447e98c", "image_1": "Perception/single/4666860a-2d36-437b-b5bc-64031447e98c_0.jpg", "image_2": null, "question": "What is the primary distortion that most seriously degrades the quality of this SAR image?\nA.sidelobe\nB.striping\nC.ghosting\nD.speckle", "answer": "D"}
{"id": "1dcd864e-bfe5-4d7b-bd38-e6180c4f17e7", "image_1": "Perception/single/1dcd864e-bfe5-4d7b-bd38-e6180c4f17e7_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.cloud\nC.blur\nD.image compression", "answer": "C"}
{"id": "6aab53a3-39fe-48dd-8b9b-2349675938e9", "image_1": "Perception/single/6aab53a3-39fe-48dd-8b9b-2349675938e9_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image compression\nC.haze\nD.No distortion", "answer": "D"}
{"id": "10da5a12-cdc6-4029-9867-b282f5d10b3d", "image_1": "Perception/single/10da5a12-cdc6-4029-9867-b282f5d10b3d_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.image compression\nC.blur\nD.noise", "answer": "C"}
{"id": "a2dc0d7b-86c0-4bdf-b5bd-14e8fae6f769", "image_1": "Perception/single/a2dc0d7b-86c0-4bdf-b5bd-14e8fae6f769_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.blur\nB.dead pixel\nC.image compression\nD.noise", "answer": "A"}
{"id": "04b70b09-ba21-4b57-8dc0-a92aee4c2ecc", "image_1": "Perception/single/04b70b09-ba21-4b57-8dc0-a92aee4c2ecc_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.image compression\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "21a7967a-f48e-4069-a454-ce7855a93af0", "image_1": "Perception/single/21a7967a-f48e-4069-a454-ce7855a93af0_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.noise\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "a841a5e7-e54c-4dc2-bcb5-1c464f301f29", "image_1": "Perception/single/a841a5e7-e54c-4dc2-bcb5-1c464f301f29_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.No distortion\nB.color distortion\nC.cloud\nD.blur", "answer": "A"}
{"id": "e3163048-7a2a-41a0-9ef7-9a749677a1c4", "image_1": "Perception/single/e3163048-7a2a-41a0-9ef7-9a749677a1c4_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "8909cc64-bc45-4f65-8777-ad438749fa56", "image_1": "Perception/single/8909cc64-bc45-4f65-8777-ad438749fa56_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.missing tiles\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "2d990e31-083b-4ff2-8e32-8f700879853f", "image_1": "Perception/single/2d990e31-083b-4ff2-8e32-8f700879853f_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.blur\nC.missing tiles\nD.image stretching", "answer": "B"}
{"id": "7d968527-5eee-4f00-ac77-6b6b2a3a18b6", "image_1": "Perception/single/7d968527-5eee-4f00-ac77-6b6b2a3a18b6_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.No distortion\nC.image stretching\nD.missing tiles", "answer": "A"}
{"id": "d711e0e3-a95e-48f9-9a1b-df71ed5064f3", "image_1": "Perception/single/d711e0e3-a95e-48f9-9a1b-df71ed5064f3_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.image compression\nC.noise\nD.blur", "answer": "D"}
{"id": "383b85ef-e4fe-4123-91c6-95fd99910537", "image_1": "Perception/single/383b85ef-e4fe-4123-91c6-95fd99910537_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.cloud\nB.missing tiles\nC.blur\nD.No distortion", "answer": "C"}
{"id": "8513b3ad-6cf5-4bc0-aab2-85a4df990878", "image_1": "Perception/single/8513b3ad-6cf5-4bc0-aab2-85a4df990878_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.image stretching\nC.blur\nD.haze", "answer": "C"}
{"id": "3deab8d1-79a7-4a69-8396-b209ebb16d82", "image_1": "Perception/single/3deab8d1-79a7-4a69-8396-b209ebb16d82_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.No distortion\nB.blur\nC.noise\nD.color distortion", "answer": "A"}
{"id": "ea6012f9-a445-4b92-9350-bda37d89153b", "image_1": "Perception/single/ea6012f9-a445-4b92-9350-bda37d89153b_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.haze\nC.missing tiles\nD.image compression", "answer": "A"}
{"id": "aefb6cd4-9ba2-4065-b889-bd147a976d31", "image_1": "Perception/single/aefb6cd4-9ba2-4065-b889-bd147a976d31_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.color distortion\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "97b9b43e-b37e-40b5-8f59-c91e27c84854", "image_1": "Perception/single/97b9b43e-b37e-40b5-8f59-c91e27c84854_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.blur\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "61061234-8684-4e95-a6ca-ddf256ab4abf", "image_1": "Perception/single/61061234-8684-4e95-a6ca-ddf256ab4abf_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.dead pixel\nB.blur\nC.image compression\nD.haze", "answer": "B"}
{"id": "4d24441d-0b7c-41de-970c-f651497ffb3c", "image_1": "Perception/single/4d24441d-0b7c-41de-970c-f651497ffb3c_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.color distortion\nC.No distortion\nD.blur", "answer": "C"}
{"id": "00b96af5-4a9b-40db-bdad-40816315354b", "image_1": "Perception/single/00b96af5-4a9b-40db-bdad-40816315354b_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.No distortion\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "7b87dbe7-0f34-452f-8ab2-fbb72c0f1746", "image_1": "Perception/single/7b87dbe7-0f34-452f-8ab2-fbb72c0f1746_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.cloud\nC.missing tiles\nD.blur", "answer": "D"}
{"id": "c85127b4-6aff-455c-b170-b27879a53639", "image_1": "Perception/single/c85127b4-6aff-455c-b170-b27879a53639_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.color distortion\nC.blur\nD.haze", "answer": "C"}
{"id": "ddf52541-30cc-4001-bbac-1fc6a6281ab6", "image_1": "Perception/single/ddf52541-30cc-4001-bbac-1fc6a6281ab6_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.missing tiles\nC.color distortion\nD.cloud", "answer": "A"}
{"id": "384835a8-f6a6-4f3b-a1f9-6a5a370e8829", "image_1": "Perception/single/384835a8-f6a6-4f3b-a1f9-6a5a370e8829_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.haze\nC.blur\nD.cloud", "answer": "C"}
{"id": "077c0ec9-298e-4198-b868-38022001217c", "image_1": "Perception/single/077c0ec9-298e-4198-b868-38022001217c_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.blur\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "56add469-6923-4138-814a-884426557e25", "image_1": "Perception/single/56add469-6923-4138-814a-884426557e25_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "37b5f939-2495-4878-9dae-a82b77ae3d2e", "image_1": "Perception/single/37b5f939-2495-4878-9dae-a82b77ae3d2e_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.No distortion\nC.blur\nD.dead pixel", "answer": "C"}
{"id": "985fafe4-6530-46f9-b92a-01a56392d93b", "image_1": "Perception/single/985fafe4-6530-46f9-b92a-01a56392d93b_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.haze\nC.blur\nD.color distortion", "answer": "C"}
{"id": "92513ab9-7b8a-43da-9d08-adcd0dcee0ad", "image_1": "Perception/single/92513ab9-7b8a-43da-9d08-adcd0dcee0ad_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.blur\nC.color distortion\nD.No distortion", "answer": "B"}
{"id": "aba79266-6f7f-45ea-b788-d2f9e4b7fe81", "image_1": "Perception/single/aba79266-6f7f-45ea-b788-d2f9e4b7fe81_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.noise\nC.blur\nD.color distortion", "answer": "C"}
{"id": "53226f7c-b96d-490a-8a35-c41757d37c3f", "image_1": "Perception/single/53226f7c-b96d-490a-8a35-c41757d37c3f_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.No distortion\nC.blur\nD.missing tiles", "answer": "C"}
{"id": "41e82577-84dd-4244-a6a7-4a25b5dd5252", "image_1": "Perception/single/41e82577-84dd-4244-a6a7-4a25b5dd5252_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.missing tiles\nC.image stretching\nD.blur", "answer": "D"}
{"id": "45245f44-1e58-4ac8-b564-9f6983267ad8", "image_1": "Perception/single/45245f44-1e58-4ac8-b564-9f6983267ad8_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.blur\nC.No distortion\nD.image stretching", "answer": "B"}
{"id": "99f65c0b-f973-4a31-971c-1b28a7d296c1", "image_1": "Perception/single/99f65c0b-f973-4a31-971c-1b28a7d296c1_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.dead pixel\nC.image compression\nD.blur", "answer": "D"}
{"id": "445d78dc-ce1f-4ef7-949f-693aded954a2", "image_1": "Perception/single/445d78dc-ce1f-4ef7-949f-693aded954a2_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.color distortion\nC.No distortion\nD.noise", "answer": "C"}
{"id": "b3d01618-6dfb-468c-aeab-d59b77f805d3", "image_1": "Perception/single/b3d01618-6dfb-468c-aeab-d59b77f805d3_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.cloud\nB.No distortion\nC.image compression\nD.blur", "answer": "D"}
{"id": "e910592c-f80e-4bc7-a22d-c35a343090c8", "image_1": "Perception/single/e910592c-f80e-4bc7-a22d-c35a343090c8_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.cloud\nB.haze\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "cb0c8a54-af58-42ba-a6b4-75553a598534", "image_1": "Perception/single/cb0c8a54-af58-42ba-a6b4-75553a598534_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.blur\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "f2bf8458-4e50-4315-802f-1ead5f60e2aa", "image_1": "Perception/single/f2bf8458-4e50-4315-802f-1ead5f60e2aa_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.blur\nC.image compression\nD.missing tiles", "answer": "B"}
{"id": "b4e09ba3-52d8-459f-a165-b5e73c218be2", "image_1": "Perception/single/b4e09ba3-52d8-459f-a165-b5e73c218be2_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.image stretching\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "56df0d04-0ce2-4351-a9d3-ae20084b0fab", "image_1": "Perception/single/56df0d04-0ce2-4351-a9d3-ae20084b0fab_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.blur\nC.missing tiles\nD.image compression", "answer": "B"}
{"id": "f46906a8-a44a-48f4-a858-24d24cea0b6f", "image_1": "Perception/single/f46906a8-a44a-48f4-a858-24d24cea0b6f_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image stretching\nC.blur\nD.No distortion", "answer": "C"}
{"id": "51a5c75e-e515-4052-bb9c-ced140c9dcc0", "image_1": "Perception/single/51a5c75e-e515-4052-bb9c-ced140c9dcc0_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.noise\nC.missing tiles\nD.dead pixel", "answer": "A"}
{"id": "a8c78f06-212d-45bf-9012-662384e3a31b", "image_1": "Perception/single/a8c78f06-212d-45bf-9012-662384e3a31b_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "e6be2a71-1161-4be0-b84d-c6547bce1bc5", "image_1": "Perception/single/e6be2a71-1161-4be0-b84d-c6547bce1bc5_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.blur\nC.haze\nD.dead pixel", "answer": "B"}
{"id": "c78afffd-b9f1-4975-889e-c021404abb57", "image_1": "Perception/single/c78afffd-b9f1-4975-889e-c021404abb57_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.blur\nC.No distortion\nD.haze", "answer": "B"}
{"id": "c4d27e7c-8aae-468e-ab12-07541973f66b", "image_1": "Perception/single/c4d27e7c-8aae-468e-ab12-07541973f66b_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image compression\nC.color distortion\nD.blur", "answer": "D"}
{"id": "80d2cb6f-2b21-4de2-b081-c104da99c18a", "image_1": "Perception/single/80d2cb6f-2b21-4de2-b081-c104da99c18a_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.dead pixel\nB.blur\nC.haze\nD.cloud", "answer": "B"}
{"id": "784ca79c-3af7-49d8-b7c8-ef58bfdacfc5", "image_1": "Perception/single/784ca79c-3af7-49d8-b7c8-ef58bfdacfc5_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.dead pixel\nB.cloud\nC.missing tiles\nD.blur", "answer": "D"}
{"id": "692d73f0-c886-4b4c-bbac-eb57ac5145b3", "image_1": "Perception/single/692d73f0-c886-4b4c-bbac-eb57ac5145b3_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.blur\nD.image compression", "answer": "C"}
{"id": "ac895d56-53c5-47ac-9469-956b94647680", "image_1": "Perception/single/ac895d56-53c5-47ac-9469-956b94647680_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.blur\nC.missing tiles\nD.dead pixel", "answer": "B"}
{"id": "73551621-f21a-489c-88c8-cdb56f644a39", "image_1": "Perception/single/73551621-f21a-489c-88c8-cdb56f644a39_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.blur", "answer": "D"}
{"id": "c427db80-ee43-48fe-a662-c4c68a6dd4e7", "image_1": "Perception/single/c427db80-ee43-48fe-a662-c4c68a6dd4e7_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.cloud\nB.missing tiles\nC.No distortion\nD.blur", "answer": "D"}
{"id": "84ea32d9-437b-40c8-b377-0123973a4da6", "image_1": "Perception/single/84ea32d9-437b-40c8-b377-0123973a4da6_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.blur\nB.image stretching\nC.No distortion\nD.color distortion", "answer": "A"}
{"id": "0ae9f84e-480b-4fce-af80-e20d585de633", "image_1": "Perception/single/0ae9f84e-480b-4fce-af80-e20d585de633_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.noise\nD.No distortion", "answer": "A"}
{"id": "316348a5-f558-40ff-8103-cb76c8d3a777", "image_1": "Perception/single/316348a5-f558-40ff-8103-cb76c8d3a777_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.blur\nB.missing tiles\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "df6b2c6e-0851-40d9-9e67-54cd33628e9c", "image_1": "Perception/single/df6b2c6e-0851-40d9-9e67-54cd33628e9c_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.image stretching\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "69ba1758-d1ce-481d-91fb-b1bf3a2cb6eb", "image_1": "Perception/single/69ba1758-d1ce-481d-91fb-b1bf3a2cb6eb_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.No distortion\nC.noise\nD.blur", "answer": "D"}
{"id": "7a405b35-daa3-42e6-9de2-71147f79574b", "image_1": "Perception/single/7a405b35-daa3-42e6-9de2-71147f79574b_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.blur\nB.color distortion\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "72c5eee3-d048-46ef-9f42-786245c30268", "image_1": "Perception/single/72c5eee3-d048-46ef-9f42-786245c30268_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.noise\nC.image stretching\nD.blur", "answer": "D"}
{"id": "94945d60-5960-4cbd-bcbc-459f22f9c51e", "image_1": "Perception/single/94945d60-5960-4cbd-bcbc-459f22f9c51e_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.blur\nB.cloud\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "9ad011e2-fa3b-42de-b5ab-2af24c350a73", "image_1": "Perception/single/9ad011e2-fa3b-42de-b5ab-2af24c350a73_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.blur\nC.color distortion\nD.noise", "answer": "B"}
{"id": "0b223454-04ef-4323-bc71-e2732b88d664", "image_1": "Perception/single/0b223454-04ef-4323-bc71-e2732b88d664_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.color distortion\nC.blur\nD.image compression", "answer": "C"}
{"id": "4b5daad2-f13d-4c17-8ae8-8ed7fbd6461b", "image_1": "Perception/single/4b5daad2-f13d-4c17-8ae8-8ed7fbd6461b_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.dead pixel\nC.image stretching\nD.haze", "answer": "A"}
{"id": "73ee6102-ee26-4a11-a722-82b88588dc0b", "image_1": "Perception/single/73ee6102-ee26-4a11-a722-82b88588dc0b_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.missing tiles\nB.haze\nC.blur\nD.cloud", "answer": "C"}
{"id": "df2fc94b-5201-4bd6-a609-f834203c8a4e", "image_1": "Perception/single/df2fc94b-5201-4bd6-a609-f834203c8a4e_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.image stretching\nC.missing tiles\nD.blur", "answer": "D"}
{"id": "10620ef2-a38e-49d9-ad4f-b62d268202d1", "image_1": "Perception/single/10620ef2-a38e-49d9-ad4f-b62d268202d1_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.blur\nB.No distortion\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "e6506348-821d-41d9-b169-6f68a6db5823", "image_1": "Perception/single/e6506348-821d-41d9-b169-6f68a6db5823_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.color distortion\nC.missing tiles\nD.blur", "answer": "D"}
{"id": "ae5d36db-6c32-45a0-8aa0-d1bc41540e9f", "image_1": "Perception/single/ae5d36db-6c32-45a0-8aa0-d1bc41540e9f_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "6b92b566-5b4d-421b-842e-c9aeffb8ff49", "image_1": "Perception/single/6b92b566-5b4d-421b-842e-c9aeffb8ff49_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.blur\nB.haze\nC.noise\nD.color distortion", "answer": "A"}
{"id": "fdaa7fc4-4e3f-440f-b89a-98f89233c40c", "image_1": "Perception/single/fdaa7fc4-4e3f-440f-b89a-98f89233c40c_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.dead pixel\nC.blur\nD.haze", "answer": "C"}
{"id": "ada75b8a-d8ff-41ac-b66d-b3b18f22cc5b", "image_1": "Perception/single/ada75b8a-d8ff-41ac-b66d-b3b18f22cc5b_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.haze\nC.blur\nD.dead pixel", "answer": "C"}
{"id": "5de2524b-6f91-4749-8b84-d83730bd304e", "image_1": "Perception/single/5de2524b-6f91-4749-8b84-d83730bd304e_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.cloud\nB.noise\nC.dead pixel\nD.blur", "answer": "D"}
{"id": "660ce933-7682-47fd-a833-6c377efcfaad", "image_1": "Perception/single/660ce933-7682-47fd-a833-6c377efcfaad_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.blur\nD.color distortion", "answer": "C"}
{"id": "12a5e6b2-bfc1-4268-8ed4-e974ee1a31e2", "image_1": "Perception/single/12a5e6b2-bfc1-4268-8ed4-e974ee1a31e2_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.noise\nC.No distortion\nD.blur", "answer": "D"}
{"id": "964e57b2-6e86-40de-a7fd-422f27555246", "image_1": "Perception/single/964e57b2-6e86-40de-a7fd-422f27555246_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.color distortion\nC.image compression\nD.blur", "answer": "D"}
{"id": "6baa1a7e-89c9-4bd2-9bf2-9e9c51927142", "image_1": "Perception/single/6baa1a7e-89c9-4bd2-9bf2-9e9c51927142_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.dead pixel\nC.haze\nD.color distortion", "answer": "A"}
{"id": "2833e079-8904-46a0-b2d7-48052f470777", "image_1": "Perception/single/2833e079-8904-46a0-b2d7-48052f470777_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.No distortion\nC.color distortion\nD.missing tiles", "answer": "B"}
{"id": "b8dfcc5b-49c1-4ffb-a69c-a8481fb93fa2", "image_1": "Perception/single/b8dfcc5b-49c1-4ffb-a69c-a8481fb93fa2_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.dead pixel\nC.No distortion\nD.blur", "answer": "D"}
{"id": "e0b3f321-bb54-4d76-ac94-eb95a36aca63", "image_1": "Perception/single/e0b3f321-bb54-4d76-ac94-eb95a36aca63_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.image compression\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "e4dae839-58ac-4d48-be11-9a00d87ee4f2", "image_1": "Perception/single/e4dae839-58ac-4d48-be11-9a00d87ee4f2_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.noise\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "31d0199a-c05d-4ade-9a91-d0d1212d07a3", "image_1": "Perception/single/31d0199a-c05d-4ade-9a91-d0d1212d07a3_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.image compression\nC.missing tiles\nD.blur", "answer": "D"}
{"id": "d4e71e27-45d9-44d3-ae8c-605c7044c013", "image_1": "Perception/single/d4e71e27-45d9-44d3-ae8c-605c7044c013_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.image stretching\nC.blur\nD.image compression", "answer": "C"}
{"id": "846e7cc6-b35e-4954-a022-2d6fe96515be", "image_1": "Perception/single/846e7cc6-b35e-4954-a022-2d6fe96515be_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.haze\nD.blur", "answer": "D"}
{"id": "0887d474-155b-4e3f-b198-08dc0ed76149", "image_1": "Perception/single/0887d474-155b-4e3f-b198-08dc0ed76149_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.cloud\nC.missing tiles\nD.blur", "answer": "D"}
{"id": "63e9940e-3d22-47cc-8aad-543c6caf8362", "image_1": "Perception/single/63e9940e-3d22-47cc-8aad-543c6caf8362_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.blur\nC.image compression\nD.haze", "answer": "B"}
{"id": "eabd4230-d16f-4c29-b63b-61adc787d6c5", "image_1": "Perception/single/eabd4230-d16f-4c29-b63b-61adc787d6c5_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.blur\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "d96a9d07-9d34-4e6d-813e-ead6ecf79155", "image_1": "Perception/single/d96a9d07-9d34-4e6d-813e-ead6ecf79155_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.noise\nC.blur\nD.color distortion", "answer": "C"}
{"id": "30cf33b6-cafb-4d98-94c5-4ce4ada4a653", "image_1": "Perception/single/30cf33b6-cafb-4d98-94c5-4ce4ada4a653_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.haze\nC.color distortion\nD.image compression", "answer": "A"}
{"id": "ded52af3-f18a-43c4-8089-3e6e32c8ac62", "image_1": "Perception/single/ded52af3-f18a-43c4-8089-3e6e32c8ac62_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.blur\nB.color distortion\nC.noise\nD.dead pixel", "answer": "A"}
{"id": "39759dc1-043a-4be3-ac4b-df601184bfcf", "image_1": "Perception/single/39759dc1-043a-4be3-ac4b-df601184bfcf_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.missing tiles\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "0d5cfbc8-fcc7-4c91-88cd-6c8f637d0dba", "image_1": "Perception/single/0d5cfbc8-fcc7-4c91-88cd-6c8f637d0dba_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.blur\nC.No distortion\nD.cloud", "answer": "B"}
{"id": "e7db7318-3f13-43a7-8a89-ff272543cb89", "image_1": "Perception/single/e7db7318-3f13-43a7-8a89-ff272543cb89_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.blur\nB.dead pixel\nC.No distortion\nD.noise", "answer": "A"}
{"id": "6da2c79d-408d-4979-9734-fb68202d771f", "image_1": "Perception/single/6da2c79d-408d-4979-9734-fb68202d771f_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.haze\nC.image stretching\nD.blur", "answer": "D"}
{"id": "ddb02479-2c5e-4606-8157-a044eb19c611", "image_1": "Perception/single/ddb02479-2c5e-4606-8157-a044eb19c611_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image stretching\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "6330a27f-298d-423c-b45c-bc986281117b", "image_1": "Perception/single/6330a27f-298d-423c-b45c-bc986281117b_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.blur\nD.image compression", "answer": "C"}
{"id": "fbe1628c-9066-4402-acb6-45e725cada7c", "image_1": "Perception/single/fbe1628c-9066-4402-acb6-45e725cada7c_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.No distortion\nC.cloud\nD.noise", "answer": "A"}
{"id": "3c687537-e8b3-4217-9a6e-e8b70447b144", "image_1": "Perception/single/3c687537-e8b3-4217-9a6e-e8b70447b144_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.dead pixel\nC.blur\nD.cloud", "answer": "C"}
{"id": "5b5fab82-0e5f-4a95-8777-27b7dcfd5d96", "image_1": "Perception/single/5b5fab82-0e5f-4a95-8777-27b7dcfd5d96_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.blur\nC.No distortion\nD.noise", "answer": "C"}
{"id": "f68d958b-114e-4593-9b51-448c7a1c7e52", "image_1": "Perception/single/f68d958b-114e-4593-9b51-448c7a1c7e52_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.cloud\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "f7af92f4-9527-4ed2-b5ef-96b3910a74bb", "image_1": "Perception/single/f7af92f4-9527-4ed2-b5ef-96b3910a74bb_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image compression\nC.haze\nD.blur", "answer": "D"}
{"id": "75797578-1152-40ec-94ea-82bddba71c6d", "image_1": "Perception/single/75797578-1152-40ec-94ea-82bddba71c6d_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.image compression\nC.blur\nD.noise", "answer": "C"}
{"id": "6ceacdb7-b9ec-4db2-b9a2-cf413ccb6055", "image_1": "Perception/single/6ceacdb7-b9ec-4db2-b9a2-cf413ccb6055_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.blur\nB.dead pixel\nC.image compression\nD.noise", "answer": "A"}
{"id": "df0b5f7b-51e6-4c91-b2bb-abb7fca2fb08", "image_1": "Perception/single/df0b5f7b-51e6-4c91-b2bb-abb7fca2fb08_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.image compression\nC.No distortion\nD.blur", "answer": "D"}
{"id": "79944ef2-2fd6-4a50-8d51-b9bce78e563f", "image_1": "Perception/single/79944ef2-2fd6-4a50-8d51-b9bce78e563f_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.noise\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "a60df0cf-10b4-4b83-9881-4195774da3bb", "image_1": "Perception/single/a60df0cf-10b4-4b83-9881-4195774da3bb_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.color distortion\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "67796e95-d614-4071-b930-553434da444b", "image_1": "Perception/single/67796e95-d614-4071-b930-553434da444b_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.blur\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "af87e2a1-562a-4d36-8bbc-909b280f7c90", "image_1": "Perception/single/af87e2a1-562a-4d36-8bbc-909b280f7c90_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.missing tiles\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "a5fbcffa-1d1e-49ed-b8a6-bf658b203816", "image_1": "Perception/single/a5fbcffa-1d1e-49ed-b8a6-bf658b203816_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.blur\nC.missing tiles\nD.image stretching", "answer": "B"}
{"id": "5b310741-ad32-4a4d-bd2c-7a0f4eb6cbe6", "image_1": "Perception/single/5b310741-ad32-4a4d-bd2c-7a0f4eb6cbe6_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.No distortion\nC.image stretching\nD.missing tiles", "answer": "A"}
{"id": "b7990f3f-7202-4b30-8bb3-08feb1fd5480", "image_1": "Perception/single/b7990f3f-7202-4b30-8bb3-08feb1fd5480_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.image compression\nC.noise\nD.blur", "answer": "D"}
{"id": "9808bffe-ccf4-41fe-be4a-70d7cad12633", "image_1": "Perception/single/9808bffe-ccf4-41fe-be4a-70d7cad12633_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.cloud\nB.blur\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "15c78535-afd7-4b9a-bd19-667ccd6d6603", "image_1": "Perception/single/15c78535-afd7-4b9a-bd19-667ccd6d6603_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.image stretching\nC.blur\nD.haze", "answer": "C"}
{"id": "422f89b3-8218-4ee8-8fc7-72cc6516a89d", "image_1": "Perception/single/422f89b3-8218-4ee8-8fc7-72cc6516a89d_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.blur\nB.missing tiles\nC.noise\nD.color distortion", "answer": "A"}
{"id": "fb93a995-624a-4115-8f97-3de426c63687", "image_1": "Perception/single/fb93a995-624a-4115-8f97-3de426c63687_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.haze\nC.missing tiles\nD.image compression", "answer": "A"}
{"id": "706ec028-0724-409b-965b-2b5b03a42a6d", "image_1": "Perception/single/706ec028-0724-409b-965b-2b5b03a42a6d_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.color distortion\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "8e6ab35a-100d-440a-9d2d-72f8ad92daec", "image_1": "Perception/single/8e6ab35a-100d-440a-9d2d-72f8ad92daec_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.blur\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "32278926-a122-43cb-9a0d-b75c79ba719a", "image_1": "Perception/single/32278926-a122-43cb-9a0d-b75c79ba719a_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.dead pixel\nB.blur\nC.image compression\nD.haze", "answer": "B"}
{"id": "e6685fc9-2c7e-48f4-8252-a8a733fae87d", "image_1": "Perception/single/e6685fc9-2c7e-48f4-8252-a8a733fae87d_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.color distortion\nC.blur\nD.missing tiles", "answer": "C"}
{"id": "ef6c097a-c9b5-47b6-a00b-dc438304a78d", "image_1": "Perception/single/ef6c097a-c9b5-47b6-a00b-dc438304a78d_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.blur\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "4b66978d-c15b-4988-a165-81c82f090243", "image_1": "Perception/single/4b66978d-c15b-4988-a165-81c82f090243_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.cloud\nC.missing tiles\nD.blur", "answer": "D"}
{"id": "2d1ec39c-61c3-4b9a-98c3-914a55f26e02", "image_1": "Perception/single/2d1ec39c-61c3-4b9a-98c3-914a55f26e02_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.color distortion\nC.No distortion\nD.haze", "answer": "C"}
{"id": "6aa3f6bb-e46c-4452-a9fe-6b94921059de", "image_1": "Perception/single/6aa3f6bb-e46c-4452-a9fe-6b94921059de_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.missing tiles\nC.color distortion\nD.cloud", "answer": "A"}
{"id": "7b4ff839-1669-468c-914f-08d55c0ff70d", "image_1": "Perception/single/7b4ff839-1669-468c-914f-08d55c0ff70d_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.haze\nC.blur\nD.cloud", "answer": "C"}
{"id": "f7beb4fe-7e05-4731-898b-0bad3a925b1c", "image_1": "Perception/single/f7beb4fe-7e05-4731-898b-0bad3a925b1c_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.blur\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "3e462e05-de36-4222-93f6-99601515576b", "image_1": "Perception/single/3e462e05-de36-4222-93f6-99601515576b_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.missing tiles\nC.image stretching\nD.blur", "answer": "D"}
{"id": "c827c68f-959b-46ea-babe-8c25dd82bf08", "image_1": "Perception/single/c827c68f-959b-46ea-babe-8c25dd82bf08_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.No distortion\nC.blur\nD.dead pixel", "answer": "C"}
{"id": "14b93ba1-4808-40b7-853c-b9bc861b1d6c", "image_1": "Perception/single/14b93ba1-4808-40b7-853c-b9bc861b1d6c_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.haze\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "304c3871-c850-4a73-9471-db3993e3b5d9", "image_1": "Perception/single/304c3871-c850-4a73-9471-db3993e3b5d9_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.blur\nC.color distortion\nD.No distortion", "answer": "B"}
{"id": "35093c29-9c81-4532-8045-b2eb67395460", "image_1": "Perception/single/35093c29-9c81-4532-8045-b2eb67395460_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.noise\nC.blur\nD.color distortion", "answer": "C"}
{"id": "15a73fd8-ec20-4ed5-9067-0b1a215a74f4", "image_1": "Perception/single/15a73fd8-ec20-4ed5-9067-0b1a215a74f4_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.No distortion\nC.blur\nD.missing tiles", "answer": "C"}
{"id": "1e371ab9-3588-469c-bd88-a25913e84033", "image_1": "Perception/single/1e371ab9-3588-469c-bd88-a25913e84033_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.missing tiles\nC.image stretching\nD.blur", "answer": "D"}
{"id": "547b5be7-a2f7-47a9-9b2a-62b1f24a3d43", "image_1": "Perception/single/547b5be7-a2f7-47a9-9b2a-62b1f24a3d43_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.No distortion\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "8dab66b3-2c51-417e-bbb7-eb04bcf736a2", "image_1": "Perception/single/8dab66b3-2c51-417e-bbb7-eb04bcf736a2_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.dead pixel\nC.image compression\nD.blur", "answer": "D"}
{"id": "208aaab0-032e-44e1-9ace-ae3c49c99686", "image_1": "Perception/single/208aaab0-032e-44e1-9ace-ae3c49c99686_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.color distortion\nC.blur\nD.noise", "answer": "C"}
{"id": "3aa51ab7-4860-45ca-adfd-e0e74de2c6df", "image_1": "Perception/single/3aa51ab7-4860-45ca-adfd-e0e74de2c6df_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.cloud\nB.No distortion\nC.image compression\nD.blur", "answer": "D"}
{"id": "bd2f1056-5c7d-4eac-a97f-ef0db09c23d8", "image_1": "Perception/single/bd2f1056-5c7d-4eac-a97f-ef0db09c23d8_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.cloud\nB.haze\nC.blur\nD.image compression", "answer": "C"}
{"id": "13d432e6-11c1-4940-98d3-d7c46b7a2128", "image_1": "Perception/single/13d432e6-11c1-4940-98d3-d7c46b7a2128_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.blur\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "904bc8a5-77f7-4de0-9b58-eb83827db5bd", "image_1": "Perception/single/904bc8a5-77f7-4de0-9b58-eb83827db5bd_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.blur\nC.image compression\nD.missing tiles", "answer": "B"}
{"id": "1f858a7d-6351-4391-9fe6-2d448995580b", "image_1": "Perception/single/1f858a7d-6351-4391-9fe6-2d448995580b_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.blur\nB.image stretching\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "0230c54d-7645-48bd-8208-a319cb2ad5df", "image_1": "Perception/single/0230c54d-7645-48bd-8208-a319cb2ad5df_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.blur\nC.missing tiles\nD.image compression", "answer": "B"}
{"id": "675e3d69-d995-4b15-9114-8d299d5f70b2", "image_1": "Perception/single/675e3d69-d995-4b15-9114-8d299d5f70b2_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image stretching\nC.blur\nD.No distortion", "answer": "C"}
{"id": "6e88933f-277c-4f0b-b401-60cbea272f54", "image_1": "Perception/single/6e88933f-277c-4f0b-b401-60cbea272f54_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.noise\nC.dead pixel\nD.No distortion", "answer": "A"}
{"id": "5cd93c80-dfc7-413d-81e6-ae9892d453d6", "image_1": "Perception/single/5cd93c80-dfc7-413d-81e6-ae9892d453d6_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "30be68cc-5f7f-49f9-ae01-009f02412746", "image_1": "Perception/single/30be68cc-5f7f-49f9-ae01-009f02412746_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.blur\nC.haze\nD.dead pixel", "answer": "B"}
{"id": "68e98387-7b7c-4d3d-83b4-bf1551ef0ba1", "image_1": "Perception/single/68e98387-7b7c-4d3d-83b4-bf1551ef0ba1_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.blur\nC.No distortion\nD.haze", "answer": "B"}
{"id": "17f2467b-361f-48e7-8057-07b83b9d87ee", "image_1": "Perception/single/17f2467b-361f-48e7-8057-07b83b9d87ee_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image compression\nC.color distortion\nD.blur", "answer": "D"}
{"id": "f3b1cc3d-b3a7-494c-bb2c-e417ff9b79fc", "image_1": "Perception/single/f3b1cc3d-b3a7-494c-bb2c-e417ff9b79fc_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.dead pixel\nB.blur\nC.haze\nD.cloud", "answer": "B"}
{"id": "738aae72-1cc2-4669-ae2f-62cd538a22a9", "image_1": "Perception/single/738aae72-1cc2-4669-ae2f-62cd538a22a9_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.cloud\nC.blur\nD.No distortion", "answer": "D"}
{"id": "e0a06d67-eb7f-40e6-886c-4b150f061427", "image_1": "Perception/single/e0a06d67-eb7f-40e6-886c-4b150f061427_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.blur\nD.image compression", "answer": "C"}
{"id": "a29ab703-9952-4db9-b29e-8ed6af9ddc26", "image_1": "Perception/single/a29ab703-9952-4db9-b29e-8ed6af9ddc26_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.blur\nC.missing tiles\nD.dead pixel", "answer": "B"}
{"id": "63e32a28-efbf-4389-b719-344ee2df83a3", "image_1": "Perception/single/63e32a28-efbf-4389-b719-344ee2df83a3_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.blur", "answer": "D"}
{"id": "c558ec88-a809-48d2-95d4-4e87eeebcab9", "image_1": "Perception/single/c558ec88-a809-48d2-95d4-4e87eeebcab9_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.cloud\nB.missing tiles\nC.No distortion\nD.blur", "answer": "D"}
{"id": "109a543b-7054-4cc9-aded-ba3079276786", "image_1": "Perception/single/109a543b-7054-4cc9-aded-ba3079276786_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.image stretching\nC.dead pixel\nD.color distortion", "answer": "A"}
{"id": "3573dec5-efff-4e3c-be83-d93287aa69cf", "image_1": "Perception/single/3573dec5-efff-4e3c-be83-d93287aa69cf_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.noise\nD.No distortion", "answer": "A"}
{"id": "564b4958-4702-46e0-8b67-73dca0d14a18", "image_1": "Perception/single/564b4958-4702-46e0-8b67-73dca0d14a18_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.blur\nB.missing tiles\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "5dfd5f12-687b-4e51-b9cd-4a79a9f4d246", "image_1": "Perception/single/5dfd5f12-687b-4e51-b9cd-4a79a9f4d246_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.missing tiles\nB.image stretching\nC.blur\nD.cloud", "answer": "C"}
{"id": "efefe90d-9eb2-42ab-8360-700e389f615d", "image_1": "Perception/single/efefe90d-9eb2-42ab-8360-700e389f615d_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.No distortion\nC.noise\nD.blur", "answer": "D"}
{"id": "1fc85de8-27c7-4854-9dd7-5d458756bf88", "image_1": "Perception/single/1fc85de8-27c7-4854-9dd7-5d458756bf88_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.blur\nB.color distortion\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "d0e3910a-64cb-484b-a7b4-ccea05de476f", "image_1": "Perception/single/d0e3910a-64cb-484b-a7b4-ccea05de476f_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.noise\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "6c3b04b2-4d75-42e7-8cad-1d1c3d10a567", "image_1": "Perception/single/6c3b04b2-4d75-42e7-8cad-1d1c3d10a567_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.blur\nB.cloud\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "fe3557c1-8b57-4b0c-a88c-e3533d5bbd6f", "image_1": "Perception/single/fe3557c1-8b57-4b0c-a88c-e3533d5bbd6f_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.blur\nC.color distortion\nD.noise", "answer": "B"}
{"id": "3045c33b-81df-4630-8c92-9cadac27d532", "image_1": "Perception/single/3045c33b-81df-4630-8c92-9cadac27d532_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "8a453815-7032-4343-9a1a-e0c05d6e3278", "image_1": "Perception/single/8a453815-7032-4343-9a1a-e0c05d6e3278_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.dead pixel\nC.image stretching\nD.haze", "answer": "A"}
{"id": "0aad2e9b-5282-4272-aa50-37a885cc2b22", "image_1": "Perception/single/0aad2e9b-5282-4272-aa50-37a885cc2b22_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.missing tiles\nB.haze\nC.blur\nD.cloud", "answer": "C"}
{"id": "bfb40e93-a4ac-48a1-bc5d-e8885226165d", "image_1": "Perception/single/bfb40e93-a4ac-48a1-bc5d-e8885226165d_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.image stretching\nC.missing tiles\nD.blur", "answer": "D"}
{"id": "96e27678-05b2-4fc1-8bba-68904d0d816f", "image_1": "Perception/single/96e27678-05b2-4fc1-8bba-68904d0d816f_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.blur\nB.No distortion\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "c813856d-abea-43c8-8b32-8e8aaefd65e5", "image_1": "Perception/single/c813856d-abea-43c8-8b32-8e8aaefd65e5_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.color distortion\nC.missing tiles\nD.blur", "answer": "D"}
{"id": "cbf2e20c-810b-4e47-b037-0f3e141cb4be", "image_1": "Perception/single/cbf2e20c-810b-4e47-b037-0f3e141cb4be_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.blur\nD.dead pixel", "answer": "C"}
{"id": "fc23fb88-4ef3-4e24-83af-37963410c354", "image_1": "Perception/single/fc23fb88-4ef3-4e24-83af-37963410c354_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.blur\nB.haze\nC.noise\nD.color distortion", "answer": "A"}
{"id": "ecd9a4ee-0330-4a03-8e52-91129533bf25", "image_1": "Perception/single/ecd9a4ee-0330-4a03-8e52-91129533bf25_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.dead pixel\nC.blur\nD.haze", "answer": "C"}
{"id": "69032c1a-f78b-400b-805e-a754bca9422c", "image_1": "Perception/single/69032c1a-f78b-400b-805e-a754bca9422c_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.haze\nC.blur\nD.dead pixel", "answer": "C"}
{"id": "d3ad2c6a-a7ca-4093-a170-c35578ba8dfd", "image_1": "Perception/single/d3ad2c6a-a7ca-4093-a170-c35578ba8dfd_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.cloud\nB.noise\nC.missing tiles\nD.No distortion", "answer": "D"}
{"id": "518be440-7d17-44f6-a066-881b6e6c4c7a", "image_1": "Perception/single/518be440-7d17-44f6-a066-881b6e6c4c7a_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.blur\nD.color distortion", "answer": "C"}
{"id": "b6a2d6d1-c789-46b9-ace6-b880456d28e0", "image_1": "Perception/single/b6a2d6d1-c789-46b9-ace6-b880456d28e0_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.noise\nC.No distortion\nD.blur", "answer": "D"}
{"id": "8aa5808a-5aa1-49a3-a6ce-3331e8757013", "image_1": "Perception/single/8aa5808a-5aa1-49a3-a6ce-3331e8757013_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.color distortion\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "eca8f5c9-f4a5-4009-803f-77d7ff04edbb", "image_1": "Perception/single/eca8f5c9-f4a5-4009-803f-77d7ff04edbb_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.dead pixel\nC.haze\nD.color distortion", "answer": "A"}
{"id": "305cdadb-3e7d-4456-9cf6-35fdefda4d9b", "image_1": "Perception/single/305cdadb-3e7d-4456-9cf6-35fdefda4d9b_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.blur\nC.color distortion\nD.dead pixel", "answer": "B"}
{"id": "ebee893f-1cb9-4bb2-8ea8-2097cbf78886", "image_1": "Perception/single/ebee893f-1cb9-4bb2-8ea8-2097cbf78886_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.dead pixel\nC.No distortion\nD.blur", "answer": "D"}
{"id": "bee80ee1-c9c1-4346-8f4e-ab29c2d91b84", "image_1": "Perception/single/bee80ee1-c9c1-4346-8f4e-ab29c2d91b84_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.image compression\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "dce77ef5-ab4f-40fa-9fc8-382b6fb155b8", "image_1": "Perception/single/dce77ef5-ab4f-40fa-9fc8-382b6fb155b8_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.noise\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "782c7319-d476-4cf7-9c68-659b5e6c7ad8", "image_1": "Perception/single/782c7319-d476-4cf7-9c68-659b5e6c7ad8_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.image compression\nC.missing tiles\nD.blur", "answer": "D"}
{"id": "d0282c28-b67f-40c8-a624-279f8a90b4ca", "image_1": "Perception/single/d0282c28-b67f-40c8-a624-279f8a90b4ca_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.image stretching\nC.blur\nD.image compression", "answer": "C"}
{"id": "09d86433-95aa-4508-80ea-cf28a1b97786", "image_1": "Perception/single/09d86433-95aa-4508-80ea-cf28a1b97786_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.haze\nD.blur", "answer": "D"}
{"id": "dcacbb4a-0889-4dd8-83e7-8696f55a9426", "image_1": "Perception/single/dcacbb4a-0889-4dd8-83e7-8696f55a9426_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.cloud\nC.missing tiles\nD.blur", "answer": "D"}
{"id": "38439281-fc0c-4aec-a3e9-f3149b238540", "image_1": "Perception/single/38439281-fc0c-4aec-a3e9-f3149b238540_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.No distortion\nC.image compression\nD.haze", "answer": "B"}
{"id": "e60205c8-bc5d-42d0-b80e-16dde3a5b4fc", "image_1": "Perception/single/e60205c8-bc5d-42d0-b80e-16dde3a5b4fc_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.blur\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "cacef5ba-7ede-4bc8-afe3-7062371a5e07", "image_1": "Perception/single/cacef5ba-7ede-4bc8-afe3-7062371a5e07_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "2fb7d7cf-2824-44fc-9989-841de8247091", "image_1": "Perception/single/2fb7d7cf-2824-44fc-9989-841de8247091_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.haze\nC.color distortion\nD.image compression", "answer": "A"}
{"id": "bbaf6580-8b9d-462b-a516-ac1db2bd1935", "image_1": "Perception/single/bbaf6580-8b9d-462b-a516-ac1db2bd1935_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "afd4468f-4589-4f1e-ab7d-089e769746eb", "image_1": "Perception/single/afd4468f-4589-4f1e-ab7d-089e769746eb_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.missing tiles\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "2790b33d-d7c2-46c1-a8b2-d54a0d307fff", "image_1": "Perception/single/2790b33d-d7c2-46c1-a8b2-d54a0d307fff_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.No distortion\nC.dead pixel\nD.cloud", "answer": "B"}
{"id": "ac62033e-2583-4548-b705-5e1df471c477", "image_1": "Perception/single/ac62033e-2583-4548-b705-5e1df471c477_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.blur\nB.dead pixel\nC.No distortion\nD.noise", "answer": "A"}
{"id": "8d846ce2-0a36-4f41-9a46-c6414852147c", "image_1": "Perception/single/8d846ce2-0a36-4f41-9a46-c6414852147c_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.haze\nC.image stretching\nD.blur", "answer": "D"}
{"id": "138b84ac-fa40-4aba-b737-cf31f5f830c3", "image_1": "Perception/single/138b84ac-fa40-4aba-b737-cf31f5f830c3_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.image stretching\nC.color distortion\nD.No distortion", "answer": "A"}
{"id": "6be86479-100d-4d40-9361-88bda22094af", "image_1": "Perception/single/6be86479-100d-4d40-9361-88bda22094af_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "e3a23093-5981-4de4-9a7a-93524ef80a3f", "image_1": "Perception/single/e3a23093-5981-4de4-9a7a-93524ef80a3f_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.dead pixel\nC.cloud\nD.noise", "answer": "A"}
{"id": "7a155840-9d70-4113-8453-4949ba7cc3c9", "image_1": "Perception/single/7a155840-9d70-4113-8453-4949ba7cc3c9_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.dead pixel\nC.blur\nD.cloud", "answer": "C"}
{"id": "3312ef2e-c21e-4d31-8bc3-76f79f50de97", "image_1": "Perception/single/3312ef2e-c21e-4d31-8bc3-76f79f50de97_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.missing tiles\nC.blur\nD.noise", "answer": "C"}
{"id": "c911863a-bfb3-442e-aadc-62e85adb83b1", "image_1": "Perception/single/c911863a-bfb3-442e-aadc-62e85adb83b1_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.cloud\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "7b6f3a6c-13ac-4400-967a-6374c7055b07", "image_1": "Perception/single/7b6f3a6c-13ac-4400-967a-6374c7055b07_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image compression\nC.haze\nD.No distortion", "answer": "D"}
{"id": "b31b9506-1812-4a5c-a11b-ce7dd1e0632f", "image_1": "Perception/single/b31b9506-1812-4a5c-a11b-ce7dd1e0632f_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.image compression\nC.haze\nD.cloud", "answer": "C"}
{"id": "97b05bba-fa1f-487b-bd5f-5e531c491384", "image_1": "Perception/single/97b05bba-fa1f-487b-bd5f-5e531c491384_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.missing tiles\nC.image compression\nD.cloud", "answer": "A"}
{"id": "ebcf6323-d208-49f9-ae42-0fb13574b7f4", "image_1": "Perception/single/ebcf6323-d208-49f9-ae42-0fb13574b7f4_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.cloud\nB.image compression\nC.dead pixel\nD.haze", "answer": "D"}
{"id": "1a6ed6d9-929d-4ef0-94a4-85008c0c3095", "image_1": "Perception/single/1a6ed6d9-929d-4ef0-94a4-85008c0c3095_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.noise\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "349f8168-6b0a-4ab9-b703-0d515b4118de", "image_1": "Perception/single/349f8168-6b0a-4ab9-b703-0d515b4118de_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.haze\nB.noise\nC.No distortion\nD.blur", "answer": "A"}
{"id": "438320d6-ca89-468c-bf4f-6cbd74f2ef50", "image_1": "Perception/single/438320d6-ca89-468c-bf4f-6cbd74f2ef50_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.haze\nC.cloud\nD.blur", "answer": "B"}
{"id": "35053b8b-d6ce-40e6-935f-cd08c1577555", "image_1": "Perception/single/35053b8b-d6ce-40e6-935f-cd08c1577555_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.blur\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "b5f63008-0ad1-4d89-91e5-37b01b4f6644", "image_1": "Perception/single/b5f63008-0ad1-4d89-91e5-37b01b4f6644_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.haze\nC.blur\nD.image stretching", "answer": "B"}
{"id": "8805d20f-3bdc-4416-9ece-9ab7493017dc", "image_1": "Perception/single/8805d20f-3bdc-4416-9ece-9ab7493017dc_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.haze\nB.dead pixel\nC.image stretching\nD.blur", "answer": "A"}
{"id": "d22e690a-c8e9-4d97-aee9-ffb22ed2c357", "image_1": "Perception/single/d22e690a-c8e9-4d97-aee9-ffb22ed2c357_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.cloud\nD.haze", "answer": "D"}
{"id": "0efa529a-f934-47e8-81d1-9eaf8cdb3128", "image_1": "Perception/single/0efa529a-f934-47e8-81d1-9eaf8cdb3128_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.haze\nD.dead pixel", "answer": "C"}
{"id": "63c4d0b0-37ae-46c5-8150-da0fe37984e5", "image_1": "Perception/single/63c4d0b0-37ae-46c5-8150-da0fe37984e5_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.missing tiles\nB.image stretching\nC.haze\nD.color distortion", "answer": "C"}
{"id": "db7df044-40b8-4aea-908e-d54d4e486102", "image_1": "Perception/single/db7df044-40b8-4aea-908e-d54d4e486102_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.blur\nC.cloud\nD.noise", "answer": "A"}
{"id": "595acc56-8ed2-463b-b404-5169b81b237b", "image_1": "Perception/single/595acc56-8ed2-463b-b404-5169b81b237b_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.color distortion\nC.blur\nD.image compression", "answer": "A"}
{"id": "02412a59-58ff-4eb9-a285-67ab7a43701a", "image_1": "Perception/single/02412a59-58ff-4eb9-a285-67ab7a43701a_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.color distortion\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "083df404-6233-4e41-ba0e-f3a4d290ce69", "image_1": "Perception/single/083df404-6233-4e41-ba0e-f3a4d290ce69_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.noise\nB.blur\nC.haze\nD.No distortion", "answer": "C"}
{"id": "9091ebf3-4aab-425f-aa28-b3884f0b75a6", "image_1": "Perception/single/9091ebf3-4aab-425f-aa28-b3884f0b75a6_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.missing tiles\nB.No distortion\nC.image compression\nD.haze", "answer": "B"}
{"id": "fc16e790-2026-48f7-982a-f88f2da7b4b5", "image_1": "Perception/single/fc16e790-2026-48f7-982a-f88f2da7b4b5_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.noise\nC.haze\nD.blur", "answer": "C"}
{"id": "fb308b1c-e75f-4ddb-b9ee-346fd6bdd0c6", "image_1": "Perception/single/fb308b1c-e75f-4ddb-b9ee-346fd6bdd0c6_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.haze\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "1fe096e8-4c83-4735-a2d2-b3eda7bf43ae", "image_1": "Perception/single/1fe096e8-4c83-4735-a2d2-b3eda7bf43ae_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.No distortion\nC.blur\nD.haze", "answer": "D"}
{"id": "68c8a531-1f69-4721-a262-ab613b0364e0", "image_1": "Perception/single/68c8a531-1f69-4721-a262-ab613b0364e0_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.noise\nC.haze\nD.color distortion", "answer": "C"}
{"id": "3434d65a-f3eb-4687-b911-c4d403a8585e", "image_1": "Perception/single/3434d65a-f3eb-4687-b911-c4d403a8585e_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.haze\nB.blur\nC.noise\nD.No distortion", "answer": "A"}
{"id": "09d85e77-de6b-4730-a432-908dfc158822", "image_1": "Perception/single/09d85e77-de6b-4730-a432-908dfc158822_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.cloud\nB.color distortion\nC.haze\nD.No distortion", "answer": "C"}
{"id": "27274064-534e-4e15-be89-d1b14021e9d4", "image_1": "Perception/single/27274064-534e-4e15-be89-d1b14021e9d4_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.haze\nC.cloud\nD.blur", "answer": "B"}
{"id": "7e22f739-07a6-4892-80ac-f5bf7c56fcca", "image_1": "Perception/single/7e22f739-07a6-4892-80ac-f5bf7c56fcca_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.image stretching\nD.haze", "answer": "D"}
{"id": "f5b67a76-fb48-4e79-b127-60bb9700a759", "image_1": "Perception/single/f5b67a76-fb48-4e79-b127-60bb9700a759_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "ffc1e77a-2b41-45f0-afc2-d159ae20dc4b", "image_1": "Perception/single/ffc1e77a-2b41-45f0-afc2-d159ae20dc4b_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.color distortion\nC.haze\nD.noise", "answer": "C"}
{"id": "e0ed6b24-5287-4cf0-b08f-76f77afa3d09", "image_1": "Perception/single/e0ed6b24-5287-4cf0-b08f-76f77afa3d09_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.haze\nC.noise\nD.dead pixel", "answer": "B"}
{"id": "a8905fcf-bbbd-4383-889b-511e939af56f", "image_1": "Perception/single/a8905fcf-bbbd-4383-889b-511e939af56f_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "2572373c-e511-4ff9-8a40-676008defc21", "image_1": "Perception/single/2572373c-e511-4ff9-8a40-676008defc21_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.color distortion\nB.dead pixel\nC.haze\nD.blur", "answer": "C"}
{"id": "2fce2210-e909-4f85-9ea3-5dc94359597b", "image_1": "Perception/single/2fce2210-e909-4f85-9ea3-5dc94359597b_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.blur\nC.image stretching\nD.haze", "answer": "D"}
{"id": "c391692b-2aa6-437a-91b6-918f3ffd5b7c", "image_1": "Perception/single/c391692b-2aa6-437a-91b6-918f3ffd5b7c_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.haze\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "89eb410d-020e-4f65-853b-ebb6a6cb37ca", "image_1": "Perception/single/89eb410d-020e-4f65-853b-ebb6a6cb37ca_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.haze", "answer": "D"}
{"id": "4c14b983-b2f3-495b-9f4c-a0fa2736a79e", "image_1": "Perception/single/4c14b983-b2f3-495b-9f4c-a0fa2736a79e_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.noise\nC.haze\nD.cloud", "answer": "C"}
{"id": "6e531036-bbbb-45db-aeb9-698bb61344b3", "image_1": "Perception/single/6e531036-bbbb-45db-aeb9-698bb61344b3_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.dead pixel\nC.image compression\nD.haze", "answer": "D"}
{"id": "54c807d1-704d-4b59-9515-bc24aa37c372", "image_1": "Perception/single/54c807d1-704d-4b59-9515-bc24aa37c372_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.cloud\nB.haze\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "d6e9d94e-d77f-4857-8536-2a8174d247c0", "image_1": "Perception/single/d6e9d94e-d77f-4857-8536-2a8174d247c0_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.haze\nC.cloud\nD.blur", "answer": "B"}
{"id": "70debad1-0070-4368-8b97-fd5d9cb6ff1b", "image_1": "Perception/single/70debad1-0070-4368-8b97-fd5d9cb6ff1b_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.haze\nC.image compression\nD.blur", "answer": "B"}
{"id": "d0e2c291-49e1-4f90-882f-c1e5cf266318", "image_1": "Perception/single/d0e2c291-49e1-4f90-882f-c1e5cf266318_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.haze\nB.image stretching\nC.No distortion\nD.dead pixel", "answer": "A"}
{"id": "31401671-b304-4616-a91d-aeabc56c0e6c", "image_1": "Perception/single/31401671-b304-4616-a91d-aeabc56c0e6c_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.haze\nC.blur\nD.image compression", "answer": "B"}
{"id": "1db675a4-e1be-47c3-b5ed-f5f4bbc51076", "image_1": "Perception/single/1db675a4-e1be-47c3-b5ed-f5f4bbc51076_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image stretching\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "b207e460-b0ec-4855-8488-3a0aa3464860", "image_1": "Perception/single/b207e460-b0ec-4855-8488-3a0aa3464860_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.noise\nC.missing tiles\nD.dead pixel", "answer": "A"}
{"id": "600d40ca-451e-4c04-86c9-49a89fb74485", "image_1": "Perception/single/600d40ca-451e-4c04-86c9-49a89fb74485_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.image compression\nC.cloud\nD.haze", "answer": "D"}
{"id": "668865aa-3c04-40d7-8a7c-3f6f2b4db254", "image_1": "Perception/single/668865aa-3c04-40d7-8a7c-3f6f2b4db254_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.No distortion\nC.haze\nD.missing tiles", "answer": "B"}
{"id": "c87f8ed1-8f2a-41d3-8800-2896f4c06f02", "image_1": "Perception/single/c87f8ed1-8f2a-41d3-8800-2896f4c06f02_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.haze\nC.dead pixel\nD.color distortion", "answer": "B"}
{"id": "7f5c6248-06e2-4e3b-82ca-b68d71ad9772", "image_1": "Perception/single/7f5c6248-06e2-4e3b-82ca-b68d71ad9772_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image compression\nC.color distortion\nD.No distortion", "answer": "D"}
{"id": "f3c8ee98-b1fa-4a65-bce8-c117904c5879", "image_1": "Perception/single/f3c8ee98-b1fa-4a65-bce8-c117904c5879_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.haze\nC.color distortion\nD.No distortion", "answer": "B"}
{"id": "d03ffe7c-8f35-462a-b873-3bf2951f512b", "image_1": "Perception/single/d03ffe7c-8f35-462a-b873-3bf2951f512b_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.No distortion\nC.blur\nD.haze", "answer": "D"}
{"id": "73bf04da-9929-4fe6-a46b-42af0b1bbbfe", "image_1": "Perception/single/73bf04da-9929-4fe6-a46b-42af0b1bbbfe_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.missing tiles\nC.haze\nD.image compression", "answer": "C"}
{"id": "73c4de9d-5229-48ab-9cd2-de1c35acddcb", "image_1": "Perception/single/73c4de9d-5229-48ab-9cd2-de1c35acddcb_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.dead pixel\nB.haze\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "cc04e4df-a60d-453f-bf97-843e8f822069", "image_1": "Perception/single/cc04e4df-a60d-453f-bf97-843e8f822069_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.haze", "answer": "D"}
{"id": "e5086e8b-33a7-4488-a355-89bc318ada9e", "image_1": "Perception/single/e5086e8b-33a7-4488-a355-89bc318ada9e_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.cloud\nB.blur\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "7f09207b-f6b0-4d77-8739-72de0d0e4c24", "image_1": "Perception/single/7f09207b-f6b0-4d77-8739-72de0d0e4c24_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.image stretching\nC.dead pixel\nD.color distortion", "answer": "A"}
{"id": "4224a528-02e0-4a89-ba52-2052f5d51f20", "image_1": "Perception/single/4224a528-02e0-4a89-ba52-2052f5d51f20_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "8344707f-bd8e-4e7c-82ac-4bf844e65990", "image_1": "Perception/single/8344707f-bd8e-4e7c-82ac-4bf844e65990_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.blur\nC.No distortion\nD.missing tiles", "answer": "A"}
{"id": "c0a4ec19-528c-4435-ae8a-c8f56dc57f31", "image_1": "Perception/single/c0a4ec19-528c-4435-ae8a-c8f56dc57f31_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.image stretching\nC.haze\nD.No distortion", "answer": "C"}
{"id": "383aeb73-217b-4b26-a17d-c58254fda395", "image_1": "Perception/single/383aeb73-217b-4b26-a17d-c58254fda395_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.cloud\nD.haze", "answer": "D"}
{"id": "c2762593-2eb4-49a1-9cad-c051b2ca1a03", "image_1": "Perception/single/c2762593-2eb4-49a1-9cad-c051b2ca1a03_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.noise\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "5043bd97-cd2d-48c8-b5d1-6160479cd247", "image_1": "Perception/single/5043bd97-cd2d-48c8-b5d1-6160479cd247_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.cloud\nC.image stretching\nD.haze", "answer": "D"}
{"id": "cd1ad85a-33ce-4150-a408-4ebea1a6dd71", "image_1": "Perception/single/cd1ad85a-33ce-4150-a408-4ebea1a6dd71_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.haze\nB.No distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "7746237b-6880-48b5-a9ba-2dd790b4e173", "image_1": "Perception/single/7746237b-6880-48b5-a9ba-2dd790b4e173_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.haze\nC.noise\nD.cloud", "answer": "B"}
{"id": "28d6a7da-a217-4279-a319-562a06903e9f", "image_1": "Perception/single/28d6a7da-a217-4279-a319-562a06903e9f_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.missing tiles\nB.noise\nC.haze\nD.image compression", "answer": "C"}
{"id": "9f66e6af-9f7b-45da-ae70-321c86d15416", "image_1": "Perception/single/9f66e6af-9f7b-45da-ae70-321c86d15416_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.haze\nB.dead pixel\nC.image stretching\nD.color distortion", "answer": "A"}
{"id": "412bc8cf-5b2b-4e07-8b0e-cc7c7d0b28e6", "image_1": "Perception/single/412bc8cf-5b2b-4e07-8b0e-cc7c7d0b28e6_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.color distortion\nC.haze\nD.No distortion", "answer": "C"}
{"id": "f5990cc5-b984-4298-85e5-10bea4b11ef3", "image_1": "Perception/single/f5990cc5-b984-4298-85e5-10bea4b11ef3_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.image stretching\nC.blur\nD.haze", "answer": "D"}
{"id": "111ddd31-23eb-40fc-891b-c7ff456f8252", "image_1": "Perception/single/111ddd31-23eb-40fc-891b-c7ff456f8252_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.haze\nB.dead pixel\nC.color distortion\nD.blur", "answer": "A"}
{"id": "9f5123dd-33ce-40be-8a57-7296ab23fe94", "image_1": "Perception/single/9f5123dd-33ce-40be-8a57-7296ab23fe94_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.noise\nC.blur\nD.haze", "answer": "D"}
{"id": "cef1804a-fcad-44fb-b5ec-2511b90a2695", "image_1": "Perception/single/cef1804a-fcad-44fb-b5ec-2511b90a2695_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.color distortion\nB.image compression\nC.haze\nD.missing tiles", "answer": "C"}
{"id": "75a5f230-2bcf-4b82-abf9-a2b43ee237bb", "image_1": "Perception/single/75a5f230-2bcf-4b82-abf9-a2b43ee237bb_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.haze\nB.color distortion\nC.cloud\nD.noise", "answer": "A"}
{"id": "36c3eb35-eb5d-431d-9739-a2c4801ef2aa", "image_1": "Perception/single/36c3eb35-eb5d-431d-9739-a2c4801ef2aa_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.missing tiles\nC.haze\nD.color distortion", "answer": "C"}
{"id": "db5ac059-2623-4491-af63-d68ae87cac5c", "image_1": "Perception/single/db5ac059-2623-4491-af63-d68ae87cac5c_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.color distortion\nC.haze\nD.missing tiles", "answer": "C"}
{"id": "0231dcce-ba8a-4368-bbb0-a5564af872a6", "image_1": "Perception/single/0231dcce-ba8a-4368-bbb0-a5564af872a6_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.cloud\nC.missing tiles\nD.haze", "answer": "D"}
{"id": "2022bfe0-d4f7-44be-9399-660b28469660", "image_1": "Perception/single/2022bfe0-d4f7-44be-9399-660b28469660_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "87f6f765-8b01-411a-990c-1f7e54eb55b6", "image_1": "Perception/single/87f6f765-8b01-411a-990c-1f7e54eb55b6_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.color distortion\nB.cloud\nC.dead pixel\nD.haze", "answer": "D"}
{"id": "9d4bd386-9c6b-4d94-b34e-5421f36e1fa6", "image_1": "Perception/single/9d4bd386-9c6b-4d94-b34e-5421f36e1fa6_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.noise\nC.image compression\nD.haze", "answer": "D"}
{"id": "a62f7534-1486-42de-8df5-fb344ed3f814", "image_1": "Perception/single/a62f7534-1486-42de-8df5-fb344ed3f814_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.dead pixel\nC.haze\nD.color distortion", "answer": "A"}
{"id": "56af05e2-5795-485a-a1cf-56a8906e8e03", "image_1": "Perception/single/56af05e2-5795-485a-a1cf-56a8906e8e03_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.haze\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "9b8e0665-1beb-45e0-9503-28629b7c9e76", "image_1": "Perception/single/9b8e0665-1beb-45e0-9503-28629b7c9e76_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.missing tiles\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "22b20015-fdcf-4a19-ac64-1fe7c61c5e44", "image_1": "Perception/single/22b20015-fdcf-4a19-ac64-1fe7c61c5e44_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.haze\nB.image compression\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "6a830f6b-d888-430b-91d1-aeec8f1c54f8", "image_1": "Perception/single/6a830f6b-d888-430b-91d1-aeec8f1c54f8_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.noise\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "56e66518-a9d9-42d6-b6ab-f4bb7c041fb2", "image_1": "Perception/single/56e66518-a9d9-42d6-b6ab-f4bb7c041fb2_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.color distortion\nB.image compression\nC.blur\nD.haze", "answer": "D"}
{"id": "2f50e0d1-8b67-474a-98eb-1331f1637ba2", "image_1": "Perception/single/2f50e0d1-8b67-474a-98eb-1331f1637ba2_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.image stretching\nC.haze\nD.image compression", "answer": "C"}
{"id": "bb8b8e6c-2483-4b8f-86b8-3138a9a82aed", "image_1": "Perception/single/bb8b8e6c-2483-4b8f-86b8-3138a9a82aed_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.cloud\nC.color distortion\nD.haze", "answer": "D"}
{"id": "48090226-0d2e-40b4-99fb-50eb52380464", "image_1": "Perception/single/48090226-0d2e-40b4-99fb-50eb52380464_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.cloud\nC.blur\nD.No distortion", "answer": "D"}
{"id": "42adcc45-1504-427e-b42f-4b411dd6ae8c", "image_1": "Perception/single/42adcc45-1504-427e-b42f-4b411dd6ae8c_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.No distortion\nB.haze\nC.image compression\nD.color distortion", "answer": "B"}
{"id": "e429c581-8e34-48ea-bfd9-1d12c1c7221f", "image_1": "Perception/single/e429c581-8e34-48ea-bfd9-1d12c1c7221f_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.haze\nC.cloud\nD.blur", "answer": "B"}
{"id": "d6b9857f-2fca-4de8-a9ff-29b70955011c", "image_1": "Perception/single/d6b9857f-2fca-4de8-a9ff-29b70955011c_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.cloud\nC.haze\nD.noise", "answer": "C"}
{"id": "5090e950-7658-4881-b54d-f5583a97d613", "image_1": "Perception/single/5090e950-7658-4881-b54d-f5583a97d613_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.haze\nB.color distortion\nC.noise\nD.image compression", "answer": "A"}
{"id": "7fce774c-4470-41bf-ad84-38ee4443c89d", "image_1": "Perception/single/7fce774c-4470-41bf-ad84-38ee4443c89d_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.haze\nB.noise\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "2af22660-68c2-47c5-a6ef-c56682cc98be", "image_1": "Perception/single/2af22660-68c2-47c5-a6ef-c56682cc98be_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.missing tiles\nC.haze\nD.noise", "answer": "C"}
{"id": "13b2f299-3071-45c8-bd4e-2139edee2ac6", "image_1": "Perception/single/13b2f299-3071-45c8-bd4e-2139edee2ac6_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.color distortion\nB.haze\nC.dead pixel\nD.No distortion", "answer": "B"}
{"id": "bccece94-3f67-4920-ab49-50f14c7531fb", "image_1": "Perception/single/bccece94-3f67-4920-ab49-50f14c7531fb_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.haze\nB.missing tiles\nC.dead pixel\nD.cloud", "answer": "A"}
{"id": "a1db0c1a-7cbe-4a43-a502-72c5f668d20b", "image_1": "Perception/single/a1db0c1a-7cbe-4a43-a502-72c5f668d20b_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.haze\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "fd6eb2dd-d2fe-4e7c-8f56-bd3d18cff5b1", "image_1": "Perception/single/fd6eb2dd-d2fe-4e7c-8f56-bd3d18cff5b1_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.image stretching\nC.noise\nD.dead pixel", "answer": "A"}
{"id": "bd213772-af65-4e4c-8cc1-b44e262f0751", "image_1": "Perception/single/bd213772-af65-4e4c-8cc1-b44e262f0751_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.color distortion\nC.haze\nD.image compression", "answer": "C"}
{"id": "5cb98516-6817-456d-a891-a385208fd787", "image_1": "Perception/single/5cb98516-6817-456d-a891-a385208fd787_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.dead pixel\nC.No distortion\nD.cloud", "answer": "A"}
{"id": "7d4bb3c4-c954-43fb-8526-0e2ea66890fd", "image_1": "Perception/single/7d4bb3c4-c954-43fb-8526-0e2ea66890fd_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.missing tiles\nC.haze\nD.No distortion", "answer": "C"}
{"id": "d6981870-4321-48bd-9295-5b9d848f4185", "image_1": "Perception/single/d6981870-4321-48bd-9295-5b9d848f4185_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.blur\nC.haze\nD.cloud", "answer": "C"}
{"id": "495f9ce8-bb5f-4599-95c1-5433ee62ad2e", "image_1": "Perception/single/495f9ce8-bb5f-4599-95c1-5433ee62ad2e_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.cloud\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "9d08d534-d174-408b-8e50-a12ecbaaac22", "image_1": "Perception/single/9d08d534-d174-408b-8e50-a12ecbaaac22_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image compression\nC.haze\nD.No distortion", "answer": "D"}
{"id": "6f02b6c9-bbde-4175-bd98-3904fb71aa7e", "image_1": "Perception/single/6f02b6c9-bbde-4175-bd98-3904fb71aa7e_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.image compression\nC.No distortion\nD.noise", "answer": "C"}
{"id": "e9899b3f-19d2-4f40-8f4f-05b1daeb808c", "image_1": "Perception/single/e9899b3f-19d2-4f40-8f4f-05b1daeb808c_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.missing tiles\nC.image compression\nD.noise", "answer": "A"}
{"id": "59cb5a5d-97aa-423e-99ea-4422df2f5092", "image_1": "Perception/single/59cb5a5d-97aa-423e-99ea-4422df2f5092_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.image compression\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "0e3cf6e9-760b-4b97-bf91-1276f83474d0", "image_1": "Perception/single/0e3cf6e9-760b-4b97-bf91-1276f83474d0_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.noise\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "7b696502-929c-4e21-9b0a-1de7290ee088", "image_1": "Perception/single/7b696502-929c-4e21-9b0a-1de7290ee088_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.No distortion\nB.color distortion\nC.cloud\nD.blur", "answer": "A"}
{"id": "76637853-dc10-4cb0-8339-1defcf90ad5b", "image_1": "Perception/single/76637853-dc10-4cb0-8339-1defcf90ad5b_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "3ed5aa8d-1d86-4cb7-9065-29b32f35dec9", "image_1": "Perception/single/3ed5aa8d-1d86-4cb7-9065-29b32f35dec9_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.blur\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "7e379cc9-fcde-48f4-b714-4cf797a860ae", "image_1": "Perception/single/7e379cc9-fcde-48f4-b714-4cf797a860ae_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.No distortion\nC.blur\nD.image stretching", "answer": "B"}
{"id": "bc59542c-f622-454f-8e00-e1ab388f7779", "image_1": "Perception/single/bc59542c-f622-454f-8e00-e1ab388f7779_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.dead pixel\nC.image stretching\nD.blur", "answer": "A"}
{"id": "3f0fad8e-47a0-4744-90b6-e232fb90248c", "image_1": "Perception/single/3f0fad8e-47a0-4744-90b6-e232fb90248c_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "0f6b12d8-aaf8-4735-b0bd-1ba9d486f973", "image_1": "Perception/single/0f6b12d8-aaf8-4735-b0bd-1ba9d486f973_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.cloud\nB.blur\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "5823ec7c-1167-4d69-b460-f2ce710bb17e", "image_1": "Perception/single/5823ec7c-1167-4d69-b460-f2ce710bb17e_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.missing tiles\nB.image stretching\nC.No distortion\nD.haze", "answer": "C"}
{"id": "5d6616e4-a2a0-444b-921a-0841df9aa73d", "image_1": "Perception/single/5d6616e4-a2a0-444b-921a-0841df9aa73d_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.No distortion\nB.blur\nC.noise\nD.color distortion", "answer": "A"}
{"id": "4f1aceda-facd-4498-89d0-b00c9d34d202", "image_1": "Perception/single/4f1aceda-facd-4498-89d0-b00c9d34d202_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.haze\nC.blur\nD.image compression", "answer": "A"}
{"id": "f50b65dc-8f20-44a6-8692-c5543acdbea2", "image_1": "Perception/single/f50b65dc-8f20-44a6-8692-c5543acdbea2_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.color distortion\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "a4bcf593-2cb0-4837-8db8-6fe0fb54bda8", "image_1": "Perception/single/a4bcf593-2cb0-4837-8db8-6fe0fb54bda8_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.blur\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "aa129a68-dce2-43ba-860e-bc082d7c3385", "image_1": "Perception/single/aa129a68-dce2-43ba-860e-bc082d7c3385_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.missing tiles\nB.No distortion\nC.image compression\nD.haze", "answer": "B"}
{"id": "3410aa30-be78-45b5-9167-fac2f16f90b6", "image_1": "Perception/single/3410aa30-be78-45b5-9167-fac2f16f90b6_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.color distortion\nC.No distortion\nD.blur", "answer": "C"}
{"id": "78aa7a4a-b4d5-4d89-8212-9eb032065b2d", "image_1": "Perception/single/78aa7a4a-b4d5-4d89-8212-9eb032065b2d_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.No distortion\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "af929255-417b-433b-af96-7f9fb663f7ab", "image_1": "Perception/single/af929255-417b-433b-af96-7f9fb663f7ab_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.cloud\nC.blur\nD.No distortion", "answer": "D"}
{"id": "e4648637-ba79-4093-b9e9-a93ba154345f", "image_1": "Perception/single/e4648637-ba79-4093-b9e9-a93ba154345f_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.color distortion\nC.No distortion\nD.haze", "answer": "C"}
{"id": "6c354651-173d-4a26-9fc6-d2099e713b88", "image_1": "Perception/single/6c354651-173d-4a26-9fc6-d2099e713b88_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.blur\nC.color distortion\nD.cloud", "answer": "A"}
{"id": "1a2c4017-b5e9-430a-9eff-0d9ce44b148c", "image_1": "Perception/single/1a2c4017-b5e9-430a-9eff-0d9ce44b148c_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.haze\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "265b6e32-4b6f-494c-a5bd-54a4a880f0bf", "image_1": "Perception/single/265b6e32-4b6f-494c-a5bd-54a4a880f0bf_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "93da92c1-cdd6-46cb-a6e5-2bcaeb844fff", "image_1": "Perception/single/93da92c1-cdd6-46cb-a6e5-2bcaeb844fff_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "df0c6092-1aa3-4f63-8943-f74740648213", "image_1": "Perception/single/df0c6092-1aa3-4f63-8943-f74740648213_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "91747c3e-7c5d-4740-8918-add9f4a8affd", "image_1": "Perception/single/91747c3e-7c5d-4740-8918-add9f4a8affd_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.haze\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "257c03ad-c790-4e75-89f7-8c5070219db8", "image_1": "Perception/single/257c03ad-c790-4e75-89f7-8c5070219db8_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.No distortion\nC.color distortion\nD.dead pixel", "answer": "B"}
{"id": "a4a0ff51-4715-4926-9ead-783eca00c41e", "image_1": "Perception/single/a4a0ff51-4715-4926-9ead-783eca00c41e_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "d63cdb1f-6cf0-452e-9836-39a136100f8b", "image_1": "Perception/single/d63cdb1f-6cf0-452e-9836-39a136100f8b_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.dead pixel\nC.No distortion\nD.blur", "answer": "C"}
{"id": "cb635704-7231-42e8-a246-aaf2faadbff9", "image_1": "Perception/single/cb635704-7231-42e8-a246-aaf2faadbff9_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.blur\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "abf61950-a8e0-437b-b797-8d1d392db916", "image_1": "Perception/single/abf61950-a8e0-437b-b797-8d1d392db916_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.No distortion\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "2c8dd8e9-7082-4c26-9aa0-f216cf10a307", "image_1": "Perception/single/2c8dd8e9-7082-4c26-9aa0-f216cf10a307_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "f38d2757-ff3e-4076-8ab3-19eb0856a869", "image_1": "Perception/single/f38d2757-ff3e-4076-8ab3-19eb0856a869_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.color distortion\nC.No distortion\nD.noise", "answer": "C"}
{"id": "3740a38e-9fea-42b9-ad2b-b06e2ec230b6", "image_1": "Perception/single/3740a38e-9fea-42b9-ad2b-b06e2ec230b6_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.cloud\nB.dead pixel\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "e41be5ea-c388-4c78-9c53-3ac0592548b3", "image_1": "Perception/single/e41be5ea-c388-4c78-9c53-3ac0592548b3_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.cloud\nB.haze\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "33f8a4ec-154e-4bee-b8ea-0aa076d4cca7", "image_1": "Perception/single/33f8a4ec-154e-4bee-b8ea-0aa076d4cca7_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "7118a277-d165-436b-b2b6-c70f962eb6f6", "image_1": "Perception/single/7118a277-d165-436b-b2b6-c70f962eb6f6_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.No distortion\nC.image compression\nD.blur", "answer": "B"}
{"id": "0fcdc41d-d4df-47df-9608-22a2e1551187", "image_1": "Perception/single/0fcdc41d-d4df-47df-9608-22a2e1551187_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.image stretching\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "643f6ac3-d091-47ed-a083-92a6eeddd5d1", "image_1": "Perception/single/643f6ac3-d091-47ed-a083-92a6eeddd5d1_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.No distortion\nC.blur\nD.image compression", "answer": "B"}
{"id": "45fe771e-7b55-496c-8565-6cdf0dd6fe06", "image_1": "Perception/single/45fe771e-7b55-496c-8565-6cdf0dd6fe06_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image stretching\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "5a49f760-f1d7-445e-ad19-798aa17a44dd", "image_1": "Perception/single/5a49f760-f1d7-445e-ad19-798aa17a44dd_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.noise\nC.missing tiles\nD.dead pixel", "answer": "A"}
{"id": "3caf5629-f1a8-4142-bca3-892eb4e2eb07", "image_1": "Perception/single/3caf5629-f1a8-4142-bca3-892eb4e2eb07_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "2534abea-3466-478f-a3c7-0ebb0bb3d080", "image_1": "Perception/single/2534abea-3466-478f-a3c7-0ebb0bb3d080_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.No distortion\nC.haze\nD.missing tiles", "answer": "B"}
{"id": "e3c6f462-9005-4826-a04f-16b131cd55cb", "image_1": "Perception/single/e3c6f462-9005-4826-a04f-16b131cd55cb_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.No distortion\nC.dead pixel\nD.haze", "answer": "B"}
{"id": "3a1c9eb0-3c80-41b8-8a0c-ef02a595240c", "image_1": "Perception/single/3a1c9eb0-3c80-41b8-8a0c-ef02a595240c_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image compression\nC.color distortion\nD.No distortion", "answer": "D"}
{"id": "97e58668-9067-4a5b-a2eb-6c16e6a78240", "image_1": "Perception/single/97e58668-9067-4a5b-a2eb-6c16e6a78240_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.No distortion\nC.haze\nD.cloud", "answer": "B"}
{"id": "7376eccd-55e4-45c9-a283-9b97b375dbe3", "image_1": "Perception/single/7376eccd-55e4-45c9-a283-9b97b375dbe3_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.cloud\nC.blur\nD.No distortion", "answer": "D"}
{"id": "d8dae564-1eb9-48e8-9705-7fb08fa23a6d", "image_1": "Perception/single/d8dae564-1eb9-48e8-9705-7fb08fa23a6d_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.missing tiles\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "ead248e8-f1c9-46f7-a369-b64029d50f42", "image_1": "Perception/single/ead248e8-f1c9-46f7-a369-b64029d50f42_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.dead pixel\nB.No distortion\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "b951c021-931c-4373-bfaa-32ebe2f89e23", "image_1": "Perception/single/b951c021-931c-4373-bfaa-32ebe2f89e23_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "b4fbab2e-06ea-4003-9586-a7e83578fc7f", "image_1": "Perception/single/b4fbab2e-06ea-4003-9586-a7e83578fc7f_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.cloud\nB.blur\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "217e8463-2397-45a6-8e15-7958102a72cc", "image_1": "Perception/single/217e8463-2397-45a6-8e15-7958102a72cc_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.image stretching\nC.dead pixel\nD.color distortion", "answer": "A"}
{"id": "0e589161-6519-40bc-a2b2-7f9cad245a47", "image_1": "Perception/single/0e589161-6519-40bc-a2b2-7f9cad245a47_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.image compression\nC.noise\nD.dead pixel", "answer": "A"}
{"id": "4b350319-1a01-4dc5-afc0-63fbb1e439e6", "image_1": "Perception/single/4b350319-1a01-4dc5-afc0-63fbb1e439e6_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "9f091139-0444-4199-8be5-91e29ee7a8fa", "image_1": "Perception/single/9f091139-0444-4199-8be5-91e29ee7a8fa_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.image stretching\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "edb2381f-7324-4d5e-b77f-033b3621ad85", "image_1": "Perception/single/edb2381f-7324-4d5e-b77f-033b3621ad85_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.noise\nD.No distortion", "answer": "D"}
{"id": "558b6058-3e77-4503-b264-7ad61f15dc13", "image_1": "Perception/single/558b6058-3e77-4503-b264-7ad61f15dc13_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.color distortion\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "e6579565-3a1d-42c2-bd03-16f5388429a4", "image_1": "Perception/single/e6579565-3a1d-42c2-bd03-16f5388429a4_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.noise\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "6f40f753-48b2-4922-ab13-0567fae737a7", "image_1": "Perception/single/6f40f753-48b2-4922-ab13-0567fae737a7_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.cloud\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "b3947958-4a07-4d0e-bff7-4f47af34e369", "image_1": "Perception/single/b3947958-4a07-4d0e-bff7-4f47af34e369_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.No distortion\nC.color distortion\nD.noise", "answer": "B"}
{"id": "877d7586-67b6-4cc6-b4d4-09fbbe5bbe3c", "image_1": "Perception/single/877d7586-67b6-4cc6-b4d4-09fbbe5bbe3c_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "afdecceb-8f1d-4ef1-94bf-b5d1f9be7f83", "image_1": "Perception/single/afdecceb-8f1d-4ef1-94bf-b5d1f9be7f83_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.dead pixel\nC.image stretching\nD.haze", "answer": "A"}
{"id": "937f058d-1691-4770-8f6f-8b3292a1b642", "image_1": "Perception/single/937f058d-1691-4770-8f6f-8b3292a1b642_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.haze\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "2df38d43-5265-4ccd-ab06-4cfd45ae3932", "image_1": "Perception/single/2df38d43-5265-4ccd-ab06-4cfd45ae3932_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.image stretching\nC.blur\nD.No distortion", "answer": "D"}
{"id": "49cc2a80-96ae-49c0-b78a-d7be25aa1079", "image_1": "Perception/single/49cc2a80-96ae-49c0-b78a-d7be25aa1079_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.dead pixel\nC.haze\nD.blur", "answer": "A"}
{"id": "d9fae953-48b4-4407-87c9-9fa2e9a84fb7", "image_1": "Perception/single/d9fae953-48b4-4407-87c9-9fa2e9a84fb7_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.color distortion\nC.blur\nD.No distortion", "answer": "D"}
{"id": "38e460fb-7d59-4cb2-ad49-294ad37e3343", "image_1": "Perception/single/38e460fb-7d59-4cb2-ad49-294ad37e3343_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "a606b348-d253-48b6-b13a-d020af3dafdb", "image_1": "Perception/single/a606b348-d253-48b6-b13a-d020af3dafdb_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.haze\nC.noise\nD.color distortion", "answer": "A"}
{"id": "93cd8644-d3b3-479d-938d-3dd8cb95187c", "image_1": "Perception/single/93cd8644-d3b3-479d-938d-3dd8cb95187c_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.missing tiles\nC.No distortion\nD.haze", "answer": "C"}
{"id": "65692a7e-bab3-413d-a50e-81aff4481a4b", "image_1": "Perception/single/65692a7e-bab3-413d-a50e-81aff4481a4b_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.haze\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "1955b4cb-876f-451d-8fb0-60b55a683619", "image_1": "Perception/single/1955b4cb-876f-451d-8fb0-60b55a683619_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.cloud\nB.noise\nC.missing tiles\nD.No distortion", "answer": "D"}
{"id": "2261d0fb-1337-4256-93a9-1ba8ccce3ad4", "image_1": "Perception/single/2261d0fb-1337-4256-93a9-1ba8ccce3ad4_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "1e3b2489-80a6-449b-9e4d-18f799f42e42", "image_1": "Perception/single/1e3b2489-80a6-449b-9e4d-18f799f42e42_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.noise\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "7e0989ac-171c-4911-9fdc-57565be11af8", "image_1": "Perception/single/7e0989ac-171c-4911-9fdc-57565be11af8_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.color distortion\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "4f283518-649e-4183-b50f-4963d8a70d5d", "image_1": "Perception/single/4f283518-649e-4183-b50f-4963d8a70d5d_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.dead pixel\nC.haze\nD.color distortion", "answer": "A"}
{"id": "a8112e02-c415-43be-912f-6db97de99f6c", "image_1": "Perception/single/a8112e02-c415-43be-912f-6db97de99f6c_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.No distortion\nC.color distortion\nD.missing tiles", "answer": "B"}
{"id": "5a12896d-e214-4fea-b4f6-1289a1905545", "image_1": "Perception/single/5a12896d-e214-4fea-b4f6-1289a1905545_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.missing tiles\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "55791975-1f46-468f-afb2-6b47b638d9e3", "image_1": "Perception/single/55791975-1f46-468f-afb2-6b47b638d9e3_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.image compression\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "eff5861b-e996-4df1-8cc3-df862fc56607", "image_1": "Perception/single/eff5861b-e996-4df1-8cc3-df862fc56607_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.noise\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "87fcb1a7-8f0b-46c2-a26d-3bb77fa22c66", "image_1": "Perception/single/87fcb1a7-8f0b-46c2-a26d-3bb77fa22c66_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.image compression\nC.blur\nD.No distortion", "answer": "D"}
{"id": "f448833c-1379-4bf5-a86f-d154866f5609", "image_1": "Perception/single/f448833c-1379-4bf5-a86f-d154866f5609_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.image stretching\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "2413f089-6bab-4392-a898-2a3441fdc33d", "image_1": "Perception/single/2413f089-6bab-4392-a898-2a3441fdc33d_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.noise\nC.haze\nD.No distortion", "answer": "D"}
{"id": "2acc1e51-3b88-43ad-b519-7fb3cb120ddc", "image_1": "Perception/single/2acc1e51-3b88-43ad-b519-7fb3cb120ddc_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.cloud\nC.blur\nD.No distortion", "answer": "D"}
{"id": "6819d07d-73a5-49e5-8839-8be25cfff80a", "image_1": "Perception/single/6819d07d-73a5-49e5-8839-8be25cfff80a_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.No distortion\nC.image compression\nD.haze", "answer": "B"}
{"id": "1cb6670e-c2aa-472b-93b1-d7ed79c3f551", "image_1": "Perception/single/1cb6670e-c2aa-472b-93b1-d7ed79c3f551_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "e4443e48-f93d-4091-b349-7182dd2df32e", "image_1": "Perception/single/e4443e48-f93d-4091-b349-7182dd2df32e_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "08ae5cee-79b9-4e8e-b234-e3d86e15223c", "image_1": "Perception/single/08ae5cee-79b9-4e8e-b234-e3d86e15223c_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.No distortion\nB.haze\nC.color distortion\nD.image compression", "answer": "A"}
{"id": "d6e37671-7cb7-42f2-865a-825ef7f92d4f", "image_1": "Perception/single/d6e37671-7cb7-42f2-865a-825ef7f92d4f_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "7f91fcdd-6ec6-4fd8-bea3-f20bbccfe7ea", "image_1": "Perception/single/7f91fcdd-6ec6-4fd8-bea3-f20bbccfe7ea_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.missing tiles\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "d8e020f3-e5ef-4dd6-99e5-850348e2f265", "image_1": "Perception/single/d8e020f3-e5ef-4dd6-99e5-850348e2f265_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.No distortion\nC.dead pixel\nD.cloud", "answer": "B"}
{"id": "fe03d6e0-f207-41c0-b54b-9703182ea341", "image_1": "Perception/single/fe03d6e0-f207-41c0-b54b-9703182ea341_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "A"}
{"id": "6945acfc-0cc3-4187-af0b-f4fe8e1c9e3e", "image_1": "Perception/single/6945acfc-0cc3-4187-af0b-f4fe8e1c9e3e_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.haze\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "69fee6b8-83b1-47f0-98d1-bf2f731444af", "image_1": "Perception/single/69fee6b8-83b1-47f0-98d1-bf2f731444af_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image stretching\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "174186fa-c815-417b-95ba-93adf735014e", "image_1": "Perception/single/174186fa-c815-417b-95ba-93adf735014e_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "fb9ad839-301f-4feb-932f-dec27031a832", "image_1": "Perception/single/fb9ad839-301f-4feb-932f-dec27031a832_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.dead pixel\nC.cloud\nD.noise", "answer": "A"}
{"id": "58a5463a-d8b8-4f03-866a-d4b7698a869d", "image_1": "Perception/single/58a5463a-d8b8-4f03-866a-d4b7698a869d_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.missing tiles\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "7160e68f-473d-4f7f-82b5-a5868e50fa6f", "image_1": "Perception/single/7160e68f-473d-4f7f-82b5-a5868e50fa6f_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.blur\nC.No distortion\nD.noise", "answer": "C"}
{"id": "c745df72-73de-4259-a4d1-9b7d118ca936", "image_1": "Perception/single/c745df72-73de-4259-a4d1-9b7d118ca936_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.cloud\nC.image compression\nD.blur", "answer": "C"}
{"id": "940a3990-c24f-41b7-88e0-458a1e23f754", "image_1": "Perception/single/940a3990-c24f-41b7-88e0-458a1e23f754_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.blur\nC.haze\nD.image compression", "answer": "D"}
{"id": "9eae28a8-b6f2-4250-bf56-cc6b61ecf02b", "image_1": "Perception/single/9eae28a8-b6f2-4250-bf56-cc6b61ecf02b_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.blur\nC.image compression\nD.noise", "answer": "C"}
{"id": "e500a5dd-2562-46fb-ba04-d233de8879d0", "image_1": "Perception/single/e500a5dd-2562-46fb-ba04-d233de8879d0_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.missing tiles\nC.image compression\nD.noise", "answer": "A"}
{"id": "4d892ca5-2ea2-4ec2-9a0f-932048658738", "image_1": "Perception/single/4d892ca5-2ea2-4ec2-9a0f-932048658738_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.blur\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "85fc753a-8e35-4746-b06e-07c368b254cf", "image_1": "Perception/single/85fc753a-8e35-4746-b06e-07c368b254cf_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.noise\nC.cloud\nD.image compression", "answer": "D"}
{"id": "93161a32-d7e9-4b4b-b553-af45b6134315", "image_1": "Perception/single/93161a32-d7e9-4b4b-b553-af45b6134315_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.color distortion\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "cfc692fb-ed58-42fe-8eef-4c59dea368c8", "image_1": "Perception/single/cfc692fb-ed58-42fe-8eef-4c59dea368c8_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "33211612-bd3f-4e38-821f-ccc360d8dea0", "image_1": "Perception/single/33211612-bd3f-4e38-821f-ccc360d8dea0_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.blur\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "09bd7b91-a6a0-4272-b840-d02f5f42bf40", "image_1": "Perception/single/09bd7b91-a6a0-4272-b840-d02f5f42bf40_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.image compression\nC.missing tiles\nD.image stretching", "answer": "B"}
{"id": "25648030-7a05-4479-b80b-31ce26ca5d50", "image_1": "Perception/single/25648030-7a05-4479-b80b-31ce26ca5d50_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image compression\nB.No distortion\nC.image stretching\nD.missing tiles", "answer": "A"}
{"id": "dcde8763-9473-4eeb-9a1e-8c503b58815b", "image_1": "Perception/single/dcde8763-9473-4eeb-9a1e-8c503b58815b_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.blur\nC.noise\nD.image compression", "answer": "D"}
{"id": "a5d86c5d-d414-49ee-8bc3-094d683ed878", "image_1": "Perception/single/a5d86c5d-d414-49ee-8bc3-094d683ed878_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.cloud\nB.blur\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "886ad187-5487-4379-9821-e25d240a4bbf", "image_1": "Perception/single/886ad187-5487-4379-9821-e25d240a4bbf_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.missing tiles\nB.image stretching\nC.No distortion\nD.haze", "answer": "C"}
{"id": "c9c0f9fd-29c7-4d78-ad89-f66382e4a22c", "image_1": "Perception/single/c9c0f9fd-29c7-4d78-ad89-f66382e4a22c_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image compression\nB.missing tiles\nC.noise\nD.color distortion", "answer": "A"}
{"id": "a9a70b65-220d-4a50-bdf3-26d1f481c8ed", "image_1": "Perception/single/a9a70b65-220d-4a50-bdf3-26d1f481c8ed_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image compression\nB.haze\nC.missing tiles\nD.blur", "answer": "A"}
{"id": "e71fd91d-4902-4b56-9eb4-277aa067d710", "image_1": "Perception/single/e71fd91d-4902-4b56-9eb4-277aa067d710_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image compression\nB.color distortion\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "9292bc88-fcb9-4487-99d0-fe827ed0d6b1", "image_1": "Perception/single/9292bc88-fcb9-4487-99d0-fe827ed0d6b1_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.blur\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "e80f5b39-c6c7-4d19-9ed0-62d4e27015e6", "image_1": "Perception/single/e80f5b39-c6c7-4d19-9ed0-62d4e27015e6_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.missing tiles\nB.No distortion\nC.image compression\nD.haze", "answer": "B"}
{"id": "dc5795c0-85aa-45c0-8ac2-c400c4ff28cb", "image_1": "Perception/single/dc5795c0-85aa-45c0-8ac2-c400c4ff28cb_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.color distortion\nC.image compression\nD.missing tiles", "answer": "C"}
{"id": "256d8d14-2808-4be1-8ce9-219fa17832f7", "image_1": "Perception/single/256d8d14-2808-4be1-8ce9-219fa17832f7_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.image compression\nC.image stretching\nD.blur", "answer": "B"}
{"id": "36d17d4d-4fc0-40e4-833d-1c9ab99c228f", "image_1": "Perception/single/36d17d4d-4fc0-40e4-833d-1c9ab99c228f_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.cloud\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "17e84016-7168-48c8-8fb9-d20a0ed48e96", "image_1": "Perception/single/17e84016-7168-48c8-8fb9-d20a0ed48e96_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.color distortion\nC.image compression\nD.haze", "answer": "C"}
{"id": "cdd075b2-3ed7-455c-85f0-89fae93b6623", "image_1": "Perception/single/cdd075b2-3ed7-455c-85f0-89fae93b6623_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image compression\nB.missing tiles\nC.color distortion\nD.cloud", "answer": "A"}
{"id": "4bd9e47a-59c7-4a6b-a4e4-ff52317d507f", "image_1": "Perception/single/4bd9e47a-59c7-4a6b-a4e4-ff52317d507f_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.haze\nC.image compression\nD.cloud", "answer": "C"}
{"id": "d9163ee3-0038-42e2-9f04-bf5cad0d69a2", "image_1": "Perception/single/d9163ee3-0038-42e2-9f04-bf5cad0d69a2_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "c3833ea0-32de-4412-8c88-e904401c6e34", "image_1": "Perception/single/c3833ea0-32de-4412-8c88-e904401c6e34_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.missing tiles\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "3292b2d4-f19e-4560-aeda-cbcafa3d175c", "image_1": "Perception/single/3292b2d4-f19e-4560-aeda-cbcafa3d175c_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.No distortion\nC.image compression\nD.dead pixel", "answer": "C"}
{"id": "f1bb8810-8122-49c4-a29c-bcba5d258f79", "image_1": "Perception/single/f1bb8810-8122-49c4-a29c-bcba5d258f79_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.haze\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "75cb61b1-d637-4425-b6df-cfd09b9baa81", "image_1": "Perception/single/75cb61b1-d637-4425-b6df-cfd09b9baa81_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.image compression\nC.color distortion\nD.No distortion", "answer": "B"}
{"id": "059f9fea-8069-481c-a08e-162b1db52287", "image_1": "Perception/single/059f9fea-8069-481c-a08e-162b1db52287_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.noise\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "d67daa18-7f0f-4ee4-9661-e83eb3ff0951", "image_1": "Perception/single/d67daa18-7f0f-4ee4-9661-e83eb3ff0951_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.No distortion\nC.image compression\nD.missing tiles", "answer": "C"}
{"id": "891a8b89-04ac-48ff-982c-b91c623bf4a2", "image_1": "Perception/single/891a8b89-04ac-48ff-982c-b91c623bf4a2_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.blur\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "c4649f61-fe7d-4c6c-95b8-65278d2dac71", "image_1": "Perception/single/c4649f61-fe7d-4c6c-95b8-65278d2dac71_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.No distortion\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "15cc54ad-e11d-44b0-805e-a5bc0cf573a2", "image_1": "Perception/single/15cc54ad-e11d-44b0-805e-a5bc0cf573a2_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.dead pixel\nC.blur\nD.image compression", "answer": "D"}
{"id": "072db838-8b20-4386-8560-07377c075271", "image_1": "Perception/single/072db838-8b20-4386-8560-07377c075271_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.color distortion\nC.image compression\nD.noise", "answer": "C"}
{"id": "3e7374d1-ab9b-441b-8cb6-6c1e2ed0c428", "image_1": "Perception/single/3e7374d1-ab9b-441b-8cb6-6c1e2ed0c428_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.cloud\nB.dead pixel\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "8a1cee3b-d3c6-4b27-a42a-a2f3509020f0", "image_1": "Perception/single/8a1cee3b-d3c6-4b27-a42a-a2f3509020f0_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.cloud\nB.haze\nC.image compression\nD.blur", "answer": "C"}
{"id": "736c3b98-872c-4975-a925-8fe7baaebbb7", "image_1": "Perception/single/736c3b98-872c-4975-a925-8fe7baaebbb7_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.image compression\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "cc8fd051-48fd-483b-93a2-bdb2a002b1ad", "image_1": "Perception/single/cc8fd051-48fd-483b-93a2-bdb2a002b1ad_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.No distortion\nC.image compression\nD.blur", "answer": "B"}
{"id": "7463f526-ec9a-418b-94a8-f1cb1f0ab9d4", "image_1": "Perception/single/7463f526-ec9a-418b-94a8-f1cb1f0ab9d4_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.image compression\nB.image stretching\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "f78a04aa-af8b-453b-82b4-1fe545957dd2", "image_1": "Perception/single/f78a04aa-af8b-453b-82b4-1fe545957dd2_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.No distortion\nC.blur\nD.image compression", "answer": "B"}
{"id": "efce2bc3-7cc4-4b09-9bb9-ef6fb03d39e3", "image_1": "Perception/single/efce2bc3-7cc4-4b09-9bb9-ef6fb03d39e3_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image stretching\nC.image compression\nD.No distortion", "answer": "C"}
{"id": "fe0f9f3d-d99c-4084-988a-23752eee4fe4", "image_1": "Perception/single/fe0f9f3d-d99c-4084-988a-23752eee4fe4_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.noise\nC.missing tiles\nD.dead pixel", "answer": "A"}
{"id": "e09e213f-9438-46b0-9229-e2c066c44d2f", "image_1": "Perception/single/e09e213f-9438-46b0-9229-e2c066c44d2f_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "156ee7a5-af36-4dc9-af3f-a008f9051143", "image_1": "Perception/single/156ee7a5-af36-4dc9-af3f-a008f9051143_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.image compression\nC.haze\nD.dead pixel", "answer": "B"}
{"id": "4a8d4d43-ece5-4ea2-a063-9f5ed2538311", "image_1": "Perception/single/4a8d4d43-ece5-4ea2-a063-9f5ed2538311_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.image compression\nC.No distortion\nD.haze", "answer": "B"}
{"id": "18d92143-431a-4142-a4d0-a51405d2611e", "image_1": "Perception/single/18d92143-431a-4142-a4d0-a51405d2611e_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.blur\nC.color distortion\nD.image compression", "answer": "D"}
{"id": "9e4cbd0f-3428-4c31-b744-c96db6f0437d", "image_1": "Perception/single/9e4cbd0f-3428-4c31-b744-c96db6f0437d_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.No distortion\nC.haze\nD.cloud", "answer": "B"}
{"id": "f9bac488-c1d6-4036-8aca-eee463817900", "image_1": "Perception/single/f9bac488-c1d6-4036-8aca-eee463817900_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.dead pixel\nB.cloud\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "118f649b-6dd3-48e3-a573-ea17f1ea3b09", "image_1": "Perception/single/118f649b-6dd3-48e3-a573-ea17f1ea3b09_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.image compression\nD.blur", "answer": "C"}
{"id": "0803ae75-6c57-41ed-98f1-d73e47c0e2a7", "image_1": "Perception/single/0803ae75-6c57-41ed-98f1-d73e47c0e2a7_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.image compression\nC.missing tiles\nD.dead pixel", "answer": "B"}
{"id": "828235d3-b566-43e5-9c07-b015d53d034a", "image_1": "Perception/single/828235d3-b566-43e5-9c07-b015d53d034a_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "8c0306cf-9701-4abb-a2ed-7d0113f2d6fd", "image_1": "Perception/single/8c0306cf-9701-4abb-a2ed-7d0113f2d6fd_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.cloud\nB.missing tiles\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "882d9f15-db41-4297-a459-34ef85265965", "image_1": "Perception/single/882d9f15-db41-4297-a459-34ef85265965_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.image stretching\nC.No distortion\nD.color distortion", "answer": "A"}
{"id": "29a48165-ed32-4ec3-b30a-5122c093f9c3", "image_1": "Perception/single/29a48165-ed32-4ec3-b30a-5122c093f9c3_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.image compression\nC.noise\nD.dead pixel", "answer": "A"}
{"id": "742818b1-1abd-427e-b8a7-4dbe5d32796a", "image_1": "Perception/single/742818b1-1abd-427e-b8a7-4dbe5d32796a_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.image compression\nB.missing tiles\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "87e81342-4151-43d9-b54b-7504b48adc97", "image_1": "Perception/single/87e81342-4151-43d9-b54b-7504b48adc97_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.image stretching\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "d7b19d78-1ed2-4964-abc6-c1e85ce5309e", "image_1": "Perception/single/d7b19d78-1ed2-4964-abc6-c1e85ce5309e_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.No distortion\nC.noise\nD.image compression", "answer": "D"}
{"id": "f94c04ac-aa5a-4638-9f67-ad6ed9baf0b6", "image_1": "Perception/single/f94c04ac-aa5a-4638-9f67-ad6ed9baf0b6_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.image compression\nB.color distortion\nC.image stretching\nD.blur", "answer": "A"}
{"id": "605e6d7f-7ba9-4b25-8524-3007f9d77473", "image_1": "Perception/single/605e6d7f-7ba9-4b25-8524-3007f9d77473_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.noise\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "5b012166-4903-4be7-af4c-4b9372e6c597", "image_1": "Perception/single/5b012166-4903-4be7-af4c-4b9372e6c597_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.image compression\nB.cloud\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "6604a070-5144-41de-8d22-8aa10a42d79e", "image_1": "Perception/single/6604a070-5144-41de-8d22-8aa10a42d79e_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.image compression\nC.color distortion\nD.noise", "answer": "B"}
{"id": "d7b37442-ac22-46e7-bafa-44ae31d31a5b", "image_1": "Perception/single/d7b37442-ac22-46e7-bafa-44ae31d31a5b_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.color distortion\nC.image compression\nD.blur", "answer": "C"}
{"id": "f6764b28-ef33-485f-9e00-4e582879331c", "image_1": "Perception/single/f6764b28-ef33-485f-9e00-4e582879331c_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.image compression\nB.No distortion\nC.image stretching\nD.haze", "answer": "A"}
{"id": "117d7d82-d597-4da1-b178-18e7193e9b9a", "image_1": "Perception/single/117d7d82-d597-4da1-b178-18e7193e9b9a_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.haze\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "0d0e5923-44df-4810-9b70-1a8ddf1f4106", "image_1": "Perception/single/0d0e5923-44df-4810-9b70-1a8ddf1f4106_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.image stretching\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "88c4cffc-5526-4e2a-b8b8-9ddd8f52779d", "image_1": "Perception/single/88c4cffc-5526-4e2a-b8b8-9ddd8f52779d_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.No distortion\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "0d732cd4-2959-455f-b918-b1024c03b55f", "image_1": "Perception/single/0d732cd4-2959-455f-b918-b1024c03b55f_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.color distortion\nC.blur\nD.No distortion", "answer": "D"}
{"id": "d5dd4eb9-7f58-459a-bf5c-aedc969b264e", "image_1": "Perception/single/d5dd4eb9-7f58-459a-bf5c-aedc969b264e_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "793ec80f-3c8d-4e00-bb10-881516da5943", "image_1": "Perception/single/793ec80f-3c8d-4e00-bb10-881516da5943_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.image compression\nB.haze\nC.noise\nD.color distortion", "answer": "A"}
{"id": "ea494c95-5fa0-4a8d-92f9-5dba8e11dfe2", "image_1": "Perception/single/ea494c95-5fa0-4a8d-92f9-5dba8e11dfe2_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.dead pixel\nC.image compression\nD.haze", "answer": "C"}
{"id": "03a2c4fe-d74c-4df7-a92b-8f24ef740f35", "image_1": "Perception/single/03a2c4fe-d74c-4df7-a92b-8f24ef740f35_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.haze\nC.image compression\nD.dead pixel", "answer": "C"}
{"id": "42e455c8-aab7-471d-b25b-c612a481c63a", "image_1": "Perception/single/42e455c8-aab7-471d-b25b-c612a481c63a_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.cloud\nB.noise\nC.dead pixel\nD.image compression", "answer": "D"}
{"id": "59973b74-4c87-406f-94f2-1542a194b54f", "image_1": "Perception/single/59973b74-4c87-406f-94f2-1542a194b54f_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "c3681269-bdcb-4e71-ab54-07578d4294ff", "image_1": "Perception/single/c3681269-bdcb-4e71-ab54-07578d4294ff_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.noise\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "87aa503c-e8ae-4af0-a1ea-69768ebfb31a", "image_1": "Perception/single/87aa503c-e8ae-4af0-a1ea-69768ebfb31a_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.color distortion\nC.blur\nD.image compression", "answer": "D"}
{"id": "d833f5d2-c98d-41bc-a70d-d684fed31072", "image_1": "Perception/single/d833f5d2-c98d-41bc-a70d-d684fed31072_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.image compression\nB.No distortion\nC.haze\nD.color distortion", "answer": "A"}
{"id": "d5a2d0cc-5ccf-4925-a081-a8b151fa8614", "image_1": "Perception/single/d5a2d0cc-5ccf-4925-a081-a8b151fa8614_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.blur\nB.image compression\nC.color distortion\nD.dead pixel", "answer": "B"}
{"id": "138610a5-1fa7-42d4-8edf-c57736e6068d", "image_1": "Perception/single/138610a5-1fa7-42d4-8edf-c57736e6068d_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.blur\nB.dead pixel\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "a857c823-aa9f-41ed-bc33-8d2bb19dfed0", "image_1": "Perception/single/a857c823-aa9f-41ed-bc33-8d2bb19dfed0_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.image compression\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "5ac1fee9-adf5-4b77-8adf-0829445ad892", "image_1": "Perception/single/5ac1fee9-adf5-4b77-8adf-0829445ad892_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.noise\nC.haze\nD.dead pixel", "answer": "A"}
{"id": "3f7cfd31-eee6-4802-8d01-3d6c944837da", "image_1": "Perception/single/3f7cfd31-eee6-4802-8d01-3d6c944837da_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.image compression\nC.blur\nD.No distortion", "answer": "D"}
{"id": "113416e4-7e17-4d2c-8c4e-22a29bbb9f8c", "image_1": "Perception/single/113416e4-7e17-4d2c-8c4e-22a29bbb9f8c_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.image stretching\nC.image compression\nD.blur", "answer": "C"}
{"id": "8c6bfbc6-166e-46a9-828b-a975e437a3fe", "image_1": "Perception/single/8c6bfbc6-166e-46a9-828b-a975e437a3fe_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.haze\nD.image compression", "answer": "D"}
{"id": "820f45ac-e701-4fea-ad5a-0e9373a4c10f", "image_1": "Perception/single/820f45ac-e701-4fea-ad5a-0e9373a4c10f_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.cloud\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "b4294184-0fa9-4a41-995e-37c12b28954f", "image_1": "Perception/single/b4294184-0fa9-4a41-995e-37c12b28954f_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.image compression\nC.blur\nD.haze", "answer": "B"}
{"id": "b3ae9582-dfe8-4844-bc97-60760562ba75", "image_1": "Perception/single/b3ae9582-dfe8-4844-bc97-60760562ba75_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "81e6726a-f406-40d6-84da-fb0bd0511f03", "image_1": "Perception/single/81e6726a-f406-40d6-84da-fb0bd0511f03_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.noise\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "3e9a6b0e-8011-4eb7-9f78-9727a84e6108", "image_1": "Perception/single/3e9a6b0e-8011-4eb7-9f78-9727a84e6108_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.haze\nC.color distortion\nD.blur", "answer": "A"}
{"id": "671b7b0c-cfa8-45b1-93c9-f73f046316e8", "image_1": "Perception/single/671b7b0c-cfa8-45b1-93c9-f73f046316e8_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.image compression\nB.color distortion\nC.noise\nD.dead pixel", "answer": "A"}
{"id": "75927e8f-4fd7-406f-9409-d7bc69e21a7f", "image_1": "Perception/single/75927e8f-4fd7-406f-9409-d7bc69e21a7f_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.dead pixel\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "4f9b7477-08a6-484f-87b4-5c39ac0482df", "image_1": "Perception/single/4f9b7477-08a6-484f-87b4-5c39ac0482df_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.No distortion\nC.dead pixel\nD.cloud", "answer": "B"}
{"id": "c7b9e93d-16d8-4a8f-920a-c4859f178d74", "image_1": "Perception/single/c7b9e93d-16d8-4a8f-920a-c4859f178d74_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "A"}
{"id": "4794befe-5dfb-4227-b15d-3e2cc22c5619", "image_1": "Perception/single/4794befe-5dfb-4227-b15d-3e2cc22c5619_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.haze\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "21163c32-fe79-41da-bddc-88c0c8a6e490", "image_1": "Perception/single/21163c32-fe79-41da-bddc-88c0c8a6e490_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image compression\nB.image stretching\nC.color distortion\nD.No distortion", "answer": "A"}
{"id": "49a3b440-2a1a-42a8-ae2b-a59c5ea353cf", "image_1": "Perception/single/49a3b440-2a1a-42a8-ae2b-a59c5ea353cf_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.image compression\nD.blur", "answer": "C"}
{"id": "07c22518-b7c1-41ce-b245-b51caf7853d9", "image_1": "Perception/single/07c22518-b7c1-41ce-b245-b51caf7853d9_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.No distortion\nC.cloud\nD.noise", "answer": "A"}
{"id": "22f58c6d-5f59-48db-8a89-c59f062a3440", "image_1": "Perception/single/22f58c6d-5f59-48db-8a89-c59f062a3440_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.dead pixel\nC.image compression\nD.cloud", "answer": "C"}
{"id": "8321bf23-1a97-47c3-a511-bf79eb72beb8", "image_1": "Perception/single/8321bf23-1a97-47c3-a511-bf79eb72beb8_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.missing tiles\nC.image compression\nD.noise", "answer": "C"}
{"id": "15b2540c-dbf4-4575-8751-4f9935594724", "image_1": "Perception/single/15b2540c-dbf4-4575-8751-4f9935594724_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.cloud\nC.image compression\nD.blur", "answer": "C"}
{"id": "09e7d656-4815-44a3-92ee-b21278488704", "image_1": "Perception/single/09e7d656-4815-44a3-92ee-b21278488704_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image compression\nC.haze\nD.No distortion", "answer": "D"}
{"id": "8d28f7e1-ad4d-44d0-ac54-dad906d7332a", "image_1": "Perception/single/8d28f7e1-ad4d-44d0-ac54-dad906d7332a_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.image compression\nC.No distortion\nD.noise", "answer": "C"}
{"id": "be13126d-c3c4-450c-9d51-8a11fb1a02c7", "image_1": "Perception/single/be13126d-c3c4-450c-9d51-8a11fb1a02c7_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.missing tiles\nC.image compression\nD.noise", "answer": "A"}
{"id": "4d139680-e5c2-475c-9e66-aa3ce7853fa6", "image_1": "Perception/single/4d139680-e5c2-475c-9e66-aa3ce7853fa6_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.blur\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "8762d0ec-6d04-4662-83d4-66ccf2d0eb41", "image_1": "Perception/single/8762d0ec-6d04-4662-83d4-66ccf2d0eb41_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.noise\nC.cloud\nD.image compression", "answer": "D"}
{"id": "d04be04b-b9fe-4ff2-9fab-917e1f94ab02", "image_1": "Perception/single/d04be04b-b9fe-4ff2-9fab-917e1f94ab02_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.color distortion\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "0cb5d234-4ec1-4a03-a124-0d91540afea3", "image_1": "Perception/single/0cb5d234-4ec1-4a03-a124-0d91540afea3_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "1220fe4f-f54c-4f5b-8201-bdd802c9faef", "image_1": "Perception/single/1220fe4f-f54c-4f5b-8201-bdd802c9faef_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.blur\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "2af01f1e-a5da-4e7b-ae40-ef5b58197e9f", "image_1": "Perception/single/2af01f1e-a5da-4e7b-ae40-ef5b58197e9f_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.image compression\nC.missing tiles\nD.image stretching", "answer": "B"}
{"id": "42955ee4-f61a-490b-a10b-d2ca1b62d2b4", "image_1": "Perception/single/42955ee4-f61a-490b-a10b-d2ca1b62d2b4_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.dead pixel\nC.image stretching\nD.blur", "answer": "A"}
{"id": "98401f01-2f11-4d4d-8c4e-42d36111be14", "image_1": "Perception/single/98401f01-2f11-4d4d-8c4e-42d36111be14_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.blur\nC.noise\nD.image compression", "answer": "D"}
{"id": "7cd81070-edc7-4b7a-af39-7c96907209f7", "image_1": "Perception/single/7cd81070-edc7-4b7a-af39-7c96907209f7_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.cloud\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "C"}
{"id": "5f3f2e9c-8407-4a0a-9f42-deab6cded1dd", "image_1": "Perception/single/5f3f2e9c-8407-4a0a-9f42-deab6cded1dd_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.image stretching\nC.image compression\nD.haze", "answer": "C"}
{"id": "b24910d1-4822-40b9-9c76-5628546a5e09", "image_1": "Perception/single/b24910d1-4822-40b9-9c76-5628546a5e09_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image compression\nB.missing tiles\nC.noise\nD.color distortion", "answer": "A"}
{"id": "73eb51b5-c6ec-45df-8ac7-09bc7a7d1ac3", "image_1": "Perception/single/73eb51b5-c6ec-45df-8ac7-09bc7a7d1ac3_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image compression\nB.haze\nC.missing tiles\nD.blur", "answer": "A"}
{"id": "acaf761c-53fa-424e-933a-3d86fd6d9cc1", "image_1": "Perception/single/acaf761c-53fa-424e-933a-3d86fd6d9cc1_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image compression\nB.color distortion\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "22f52545-97cc-49fc-86da-f199414a83a1", "image_1": "Perception/single/22f52545-97cc-49fc-86da-f199414a83a1_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.blur\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "c25e6c95-6ae7-4571-b235-1b75cca8123a", "image_1": "Perception/single/c25e6c95-6ae7-4571-b235-1b75cca8123a_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.dead pixel\nB.image compression\nC.blur\nD.haze", "answer": "B"}
{"id": "54f4b973-892f-458f-bea6-23462cc5ffc5", "image_1": "Perception/single/54f4b973-892f-458f-bea6-23462cc5ffc5_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.color distortion\nC.image compression\nD.missing tiles", "answer": "C"}
{"id": "c8e90ca6-99ad-400b-a3d0-465330e4afa5", "image_1": "Perception/single/c8e90ca6-99ad-400b-a3d0-465330e4afa5_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.image compression\nC.image stretching\nD.blur", "answer": "B"}
{"id": "4bf99b5c-5e52-43b5-a30e-706a272806bc", "image_1": "Perception/single/4bf99b5c-5e52-43b5-a30e-706a272806bc_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.cloud\nC.blur\nD.No distortion", "answer": "D"}
{"id": "20d06f1c-d4ac-4b0f-a73b-1c24abe97953", "image_1": "Perception/single/20d06f1c-d4ac-4b0f-a73b-1c24abe97953_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.color distortion\nC.image compression\nD.haze", "answer": "C"}
{"id": "61491aae-8922-40e7-be8c-5c5bc52ac559", "image_1": "Perception/single/61491aae-8922-40e7-be8c-5c5bc52ac559_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image compression\nB.missing tiles\nC.color distortion\nD.cloud", "answer": "A"}
{"id": "82bf7426-de31-4577-b13a-2641de0ee714", "image_1": "Perception/single/82bf7426-de31-4577-b13a-2641de0ee714_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.haze\nC.image compression\nD.cloud", "answer": "C"}
{"id": "4c5c9ee7-37f2-4b44-8d23-94ec9ad084c9", "image_1": "Perception/single/4c5c9ee7-37f2-4b44-8d23-94ec9ad084c9_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "5a2a3ee6-0150-429b-882f-e42b7e89ee17", "image_1": "Perception/single/5a2a3ee6-0150-429b-882f-e42b7e89ee17_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.missing tiles\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "5e73479f-3bf6-4bee-9eac-ce16b8392053", "image_1": "Perception/single/5e73479f-3bf6-4bee-9eac-ce16b8392053_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.No distortion\nC.image compression\nD.dead pixel", "answer": "C"}
{"id": "f611f68d-1c4d-4f6c-95d4-ef6648bf0067", "image_1": "Perception/single/f611f68d-1c4d-4f6c-95d4-ef6648bf0067_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.haze\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "f179df7e-c307-456e-8936-139a9d7580c6", "image_1": "Perception/single/f179df7e-c307-456e-8936-139a9d7580c6_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.image compression\nC.color distortion\nD.No distortion", "answer": "B"}
{"id": "9ac554f5-695f-42e9-beb9-9c6ca431e933", "image_1": "Perception/single/9ac554f5-695f-42e9-beb9-9c6ca431e933_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "4dea3203-566c-4ec9-8cc2-b16d0af882cc", "image_1": "Perception/single/4dea3203-566c-4ec9-8cc2-b16d0af882cc_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.dead pixel\nC.No distortion\nD.blur", "answer": "C"}
{"id": "49e11752-4d7c-450e-8392-e14b691b0dc8", "image_1": "Perception/single/49e11752-4d7c-450e-8392-e14b691b0dc8_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.missing tiles\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "ec071aca-fe72-4405-8437-6285c2f29836", "image_1": "Perception/single/ec071aca-fe72-4405-8437-6285c2f29836_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.image compression\nC.No distortion\nD.image stretching", "answer": "B"}
{"id": "2ad04194-0542-4bcc-8d4f-94530b110779", "image_1": "Perception/single/2ad04194-0542-4bcc-8d4f-94530b110779_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "422d4050-4ada-43a7-9107-63eb610b70f8", "image_1": "Perception/single/422d4050-4ada-43a7-9107-63eb610b70f8_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.color distortion\nC.No distortion\nD.noise", "answer": "C"}
{"id": "01ac0def-e123-4364-9a90-1265f9c9f72f", "image_1": "Perception/single/01ac0def-e123-4364-9a90-1265f9c9f72f_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.cloud\nB.No distortion\nC.blur\nD.image compression", "answer": "D"}
{"id": "249b1a4e-51ae-4943-abcb-e7a16637b2a9", "image_1": "Perception/single/249b1a4e-51ae-4943-abcb-e7a16637b2a9_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.cloud\nB.haze\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "afcd9a0d-13e2-4125-bb70-cef03c7a5b8b", "image_1": "Perception/single/afcd9a0d-13e2-4125-bb70-cef03c7a5b8b_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.image compression\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "b54125d0-4694-494f-a065-cfa269299918", "image_1": "Perception/single/b54125d0-4694-494f-a065-cfa269299918_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.image compression\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "40334458-2e6a-46b2-9e9c-376731c5d515", "image_1": "Perception/single/40334458-2e6a-46b2-9e9c-376731c5d515_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.image compression\nB.image stretching\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "76b2d384-f5f9-4ebe-b00e-599e6d3ef50b", "image_1": "Perception/single/76b2d384-f5f9-4ebe-b00e-599e6d3ef50b_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.image compression\nC.missing tiles\nD.blur", "answer": "B"}
{"id": "be244d58-99a9-4256-ae80-e3a5ea9ad006", "image_1": "Perception/single/be244d58-99a9-4256-ae80-e3a5ea9ad006_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image stretching\nC.image compression\nD.No distortion", "answer": "C"}
{"id": "30a89d09-9122-4eec-917d-338d3d206d57", "image_1": "Perception/single/30a89d09-9122-4eec-917d-338d3d206d57_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image compression\nB.noise\nC.dead pixel\nD.No distortion", "answer": "A"}
{"id": "bf2d0b45-4325-457b-ad6f-a4d6a0294001", "image_1": "Perception/single/bf2d0b45-4325-457b-ad6f-a4d6a0294001_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "150e3ecf-5aba-4170-bf46-fc762ca43657", "image_1": "Perception/single/150e3ecf-5aba-4170-bf46-fc762ca43657_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.image compression\nC.haze\nD.dead pixel", "answer": "B"}
{"id": "e9edb3f5-0e8b-4b65-8024-a70dc5e236bd", "image_1": "Perception/single/e9edb3f5-0e8b-4b65-8024-a70dc5e236bd_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.image compression\nC.No distortion\nD.haze", "answer": "B"}
{"id": "46b9b524-acf4-453e-989f-8f2e4ca6fdb7", "image_1": "Perception/single/46b9b524-acf4-453e-989f-8f2e4ca6fdb7_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.blur\nC.color distortion\nD.image compression", "answer": "D"}
{"id": "86bea87c-68ec-405d-9b52-7d265de36555", "image_1": "Perception/single/86bea87c-68ec-405d-9b52-7d265de36555_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.dead pixel\nB.image compression\nC.haze\nD.cloud", "answer": "B"}
{"id": "69f9b534-defa-43c6-a418-6d62934f658d", "image_1": "Perception/single/69f9b534-defa-43c6-a418-6d62934f658d_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.dead pixel\nB.cloud\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "0c4d9e3b-f6c5-4daa-9639-7d4dd88e01d0", "image_1": "Perception/single/0c4d9e3b-f6c5-4daa-9639-7d4dd88e01d0_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.image compression\nD.blur", "answer": "C"}
{"id": "6f13b9ba-548f-4ee3-a4cb-bd68866ce5cb", "image_1": "Perception/single/6f13b9ba-548f-4ee3-a4cb-bd68866ce5cb_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.image compression\nC.missing tiles\nD.dead pixel", "answer": "B"}
{"id": "b6cfd686-2455-4aac-a79e-9ae8f9752c98", "image_1": "Perception/single/b6cfd686-2455-4aac-a79e-9ae8f9752c98_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "071dc180-2ade-45d7-8539-6b44e32c210c", "image_1": "Perception/single/071dc180-2ade-45d7-8539-6b44e32c210c_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.cloud\nB.missing tiles\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "329b041f-a3fa-4739-8131-e2095d0be821", "image_1": "Perception/single/329b041f-a3fa-4739-8131-e2095d0be821_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.image stretching\nC.dead pixel\nD.color distortion", "answer": "A"}
{"id": "fe0d7e65-4b60-4064-84c1-aa59f97c4eae", "image_1": "Perception/single/fe0d7e65-4b60-4064-84c1-aa59f97c4eae_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.blur\nC.noise\nD.No distortion", "answer": "A"}
{"id": "33074d72-d17c-4538-ac27-4dc3df1f20a9", "image_1": "Perception/single/33074d72-d17c-4538-ac27-4dc3df1f20a9_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "17b38ff8-4a2a-4155-a098-51f40b628248", "image_1": "Perception/single/17b38ff8-4a2a-4155-a098-51f40b628248_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.missing tiles\nB.image stretching\nC.image compression\nD.cloud", "answer": "C"}
{"id": "e1865776-c800-4cc1-a8a3-aaa48b1d7557", "image_1": "Perception/single/e1865776-c800-4cc1-a8a3-aaa48b1d7557_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.No distortion\nC.noise\nD.image compression", "answer": "D"}
{"id": "34098bfc-d51f-4f50-832c-daf5c28ac2b5", "image_1": "Perception/single/34098bfc-d51f-4f50-832c-daf5c28ac2b5_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.color distortion\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "3f9b2de0-6cd2-45d3-a265-943d018675f4", "image_1": "Perception/single/3f9b2de0-6cd2-45d3-a265-943d018675f4_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.noise\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "f8504987-5590-46ff-94e2-8a8d57423d15", "image_1": "Perception/single/f8504987-5590-46ff-94e2-8a8d57423d15_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.image compression\nB.cloud\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "cd232fda-4805-47a8-8454-fcb9375549c0", "image_1": "Perception/single/cd232fda-4805-47a8-8454-fcb9375549c0_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.image compression\nC.color distortion\nD.noise", "answer": "B"}
{"id": "2936d67f-08eb-46d1-9d9b-d62c81231f6b", "image_1": "Perception/single/2936d67f-08eb-46d1-9d9b-d62c81231f6b_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "2ac6b84a-ce5a-49c3-a87b-daa0ac07b731", "image_1": "Perception/single/2ac6b84a-ce5a-49c3-a87b-daa0ac07b731_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.dead pixel\nC.image stretching\nD.haze", "answer": "A"}
{"id": "920d2a29-7fd2-420b-8829-7f18d1faf772", "image_1": "Perception/single/920d2a29-7fd2-420b-8829-7f18d1faf772_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.missing tiles\nB.haze\nC.image compression\nD.cloud", "answer": "C"}
{"id": "f2b375d2-1afe-4432-a0c1-dc4a75de6c53", "image_1": "Perception/single/f2b375d2-1afe-4432-a0c1-dc4a75de6c53_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.image stretching\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "2a90614b-7833-4b18-bec0-5b0480f6ef59", "image_1": "Perception/single/2a90614b-7833-4b18-bec0-5b0480f6ef59_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.No distortion\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "b66d845d-c6ed-422e-83b4-cd2c4b066982", "image_1": "Perception/single/b66d845d-c6ed-422e-83b4-cd2c4b066982_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.color distortion\nC.blur\nD.No distortion", "answer": "D"}
{"id": "95285133-b02d-454c-a5ea-7d4232a729a8", "image_1": "Perception/single/95285133-b02d-454c-a5ea-7d4232a729a8_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.blur\nC.image compression\nD.dead pixel", "answer": "C"}
{"id": "ee884367-3a65-4d58-a3a9-461129a80696", "image_1": "Perception/single/ee884367-3a65-4d58-a3a9-461129a80696_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.haze\nC.noise\nD.color distortion", "answer": "A"}
{"id": "603b26e1-a5d0-428d-bf28-0d399c9798d1", "image_1": "Perception/single/603b26e1-a5d0-428d-bf28-0d399c9798d1_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.dead pixel\nC.image compression\nD.haze", "answer": "C"}
{"id": "361310c8-6bb6-4668-9960-919fab9afa3c", "image_1": "Perception/single/361310c8-6bb6-4668-9960-919fab9afa3c_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.haze\nC.image compression\nD.dead pixel", "answer": "C"}
{"id": "640ce3ac-a3f3-4698-9a3a-add58dff023b", "image_1": "Perception/single/640ce3ac-a3f3-4698-9a3a-add58dff023b_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.cloud\nB.noise\nC.dead pixel\nD.image compression", "answer": "D"}
{"id": "f1e2b7aa-14e4-471d-ac91-c589c3eddaeb", "image_1": "Perception/single/f1e2b7aa-14e4-471d-ac91-c589c3eddaeb_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "ef4c5862-71d8-46f2-9315-959b434cee29", "image_1": "Perception/single/ef4c5862-71d8-46f2-9315-959b434cee29_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.noise\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "cfa6c5cd-67f0-4a89-b555-e0a8ff3e28df", "image_1": "Perception/single/cfa6c5cd-67f0-4a89-b555-e0a8ff3e28df_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.color distortion\nC.blur\nD.image compression", "answer": "D"}
{"id": "3cc344dd-94a6-4c59-9a5f-f31f6c63d642", "image_1": "Perception/single/3cc344dd-94a6-4c59-9a5f-f31f6c63d642_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.image compression\nB.No distortion\nC.haze\nD.color distortion", "answer": "A"}
{"id": "a3542b35-e0d9-4a70-99eb-5738cb190a0b", "image_1": "Perception/single/a3542b35-e0d9-4a70-99eb-5738cb190a0b_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.blur\nB.image compression\nC.color distortion\nD.dead pixel", "answer": "B"}
{"id": "4412804e-204c-4073-8829-f268488caeb2", "image_1": "Perception/single/4412804e-204c-4073-8829-f268488caeb2_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.blur\nB.dead pixel\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "62584eb6-23df-4b33-a618-80d4d214cff4", "image_1": "Perception/single/62584eb6-23df-4b33-a618-80d4d214cff4_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.image compression\nB.blur\nC.haze\nD.dead pixel", "answer": "A"}
{"id": "ae8f1133-6628-4863-abf8-b5f69541e1f8", "image_1": "Perception/single/ae8f1133-6628-4863-abf8-b5f69541e1f8_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.noise\nC.haze\nD.dead pixel", "answer": "A"}
{"id": "ce478002-2aff-4720-a4b8-4baeaa51aa42", "image_1": "Perception/single/ce478002-2aff-4720-a4b8-4baeaa51aa42_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.blur\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "d964ceaa-7c2d-4f2a-956c-37f8012f5d09", "image_1": "Perception/single/d964ceaa-7c2d-4f2a-956c-37f8012f5d09_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.image stretching\nC.image compression\nD.blur", "answer": "C"}
{"id": "d6b35757-4840-4252-ad5c-bb9574c80360", "image_1": "Perception/single/d6b35757-4840-4252-ad5c-bb9574c80360_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.haze\nD.image compression", "answer": "D"}
{"id": "06c00ccb-e808-474d-a14c-41f7df8345ff", "image_1": "Perception/single/06c00ccb-e808-474d-a14c-41f7df8345ff_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.cloud\nC.blur\nD.No distortion", "answer": "D"}
{"id": "a23d8c3a-e221-4550-b281-2cb29001972c", "image_1": "Perception/single/a23d8c3a-e221-4550-b281-2cb29001972c_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.image compression\nC.blur\nD.haze", "answer": "B"}
{"id": "0ffb530c-43eb-45da-b8dd-e06e0be7b0b7", "image_1": "Perception/single/0ffb530c-43eb-45da-b8dd-e06e0be7b0b7_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image compression\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "42a5e20f-3de7-4636-82a6-d03460d9ef45", "image_1": "Perception/single/42a5e20f-3de7-4636-82a6-d03460d9ef45_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.noise\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "62b2dedf-0f25-4294-85cb-7ca5402bf4ab", "image_1": "Perception/single/62b2dedf-0f25-4294-85cb-7ca5402bf4ab_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.haze\nC.color distortion\nD.blur", "answer": "A"}
{"id": "095661c4-f71c-413b-a818-10892b776f07", "image_1": "Perception/single/095661c4-f71c-413b-a818-10892b776f07_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.image compression\nB.color distortion\nC.noise\nD.dead pixel", "answer": "A"}
{"id": "d4e1988a-492c-46fd-9a50-811cdea6ed71", "image_1": "Perception/single/d4e1988a-492c-46fd-9a50-811cdea6ed71_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.dead pixel\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "b93e39d4-ef20-4845-a649-0e61b47429d4", "image_1": "Perception/single/b93e39d4-ef20-4845-a649-0e61b47429d4_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.No distortion\nC.dead pixel\nD.cloud", "answer": "B"}
{"id": "57af60bd-6b1d-4ff1-8ea8-b6a9c5d552a9", "image_1": "Perception/single/57af60bd-6b1d-4ff1-8ea8-b6a9c5d552a9_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "A"}
{"id": "d450dd2b-fd63-4405-916d-6dcd500606a8", "image_1": "Perception/single/d450dd2b-fd63-4405-916d-6dcd500606a8_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.haze\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "fbc8959b-4547-430d-9c92-c68091062d14", "image_1": "Perception/single/fbc8959b-4547-430d-9c92-c68091062d14_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image stretching\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "8ab54625-b33a-4df8-8750-ec6223614540", "image_1": "Perception/single/8ab54625-b33a-4df8-8750-ec6223614540_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.image compression\nD.blur", "answer": "C"}
{"id": "9af4ebbe-2370-4123-9b00-00b69a5fee00", "image_1": "Perception/single/9af4ebbe-2370-4123-9b00-00b69a5fee00_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.No distortion\nC.cloud\nD.noise", "answer": "A"}
{"id": "167bb23c-4575-49de-82a6-aac632b82afe", "image_1": "Perception/single/167bb23c-4575-49de-82a6-aac632b82afe_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.dead pixel\nC.image compression\nD.cloud", "answer": "C"}
{"id": "0c4151e7-ad9f-4d9f-abf0-852281181121", "image_1": "Perception/single/0c4151e7-ad9f-4d9f-abf0-852281181121_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.missing tiles\nC.image compression\nD.noise", "answer": "C"}
{"id": "d9a44148-f39e-4a45-aa73-12a48906dfbf", "image_1": "Perception/single/d9a44148-f39e-4a45-aa73-12a48906dfbf_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.cloud\nC.image compression\nD.blur", "answer": "C"}
{"id": "cb0d8520-7e23-4a54-ade3-2087cb59fa9c", "image_1": "Perception/single/cb0d8520-7e23-4a54-ade3-2087cb59fa9c_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.blur\nC.haze\nD.image compression", "answer": "D"}
{"id": "448d127f-fdf4-4ae9-91f6-9f10db1e2891", "image_1": "Perception/single/448d127f-fdf4-4ae9-91f6-9f10db1e2891_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.blur\nC.image compression\nD.noise", "answer": "C"}
{"id": "3c1437ac-605f-49a2-bd3f-f86876ea8771", "image_1": "Perception/single/3c1437ac-605f-49a2-bd3f-f86876ea8771_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.image compression\nB.dead pixel\nC.blur\nD.noise", "answer": "A"}
{"id": "e957cb63-b20f-4953-9f8c-9fa6c24b16b9", "image_1": "Perception/single/e957cb63-b20f-4953-9f8c-9fa6c24b16b9_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.blur\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "019d7951-b608-448e-b977-17f624b8dac1", "image_1": "Perception/single/019d7951-b608-448e-b977-17f624b8dac1_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.noise\nC.cloud\nD.image compression", "answer": "D"}
{"id": "f2a2aa80-f4a1-4448-9ebf-2af1afde4fe1", "image_1": "Perception/single/f2a2aa80-f4a1-4448-9ebf-2af1afde4fe1_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.color distortion\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "d704cce4-909d-45ac-85b5-18245f845a19", "image_1": "Perception/single/d704cce4-909d-45ac-85b5-18245f845a19_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "8e634a16-4317-41a2-ae5d-08bad57e673b", "image_1": "Perception/single/8e634a16-4317-41a2-ae5d-08bad57e673b_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.missing tiles\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "fe9e581f-3ba2-4304-8778-928522b88127", "image_1": "Perception/single/fe9e581f-3ba2-4304-8778-928522b88127_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.image compression\nC.missing tiles\nD.image stretching", "answer": "B"}
{"id": "db93510d-2a7b-4e12-aa75-364420c71ca3", "image_1": "Perception/single/db93510d-2a7b-4e12-aa75-364420c71ca3_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image compression\nB.No distortion\nC.image stretching\nD.missing tiles", "answer": "A"}
{"id": "6b09acf0-4825-44ea-8d38-c4e6b85f2686", "image_1": "Perception/single/6b09acf0-4825-44ea-8d38-c4e6b85f2686_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.blur\nC.noise\nD.image compression", "answer": "D"}
{"id": "5d45fc80-d4a1-4236-862a-65189de63c32", "image_1": "Perception/single/5d45fc80-d4a1-4236-862a-65189de63c32_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.cloud\nB.blur\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "207fd380-2456-4353-ba27-c92a09715712", "image_1": "Perception/single/207fd380-2456-4353-ba27-c92a09715712_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.image stretching\nC.image compression\nD.haze", "answer": "C"}
{"id": "0b6a530d-7bf7-4c24-b4b7-0e0cbd42ee4e", "image_1": "Perception/single/0b6a530d-7bf7-4c24-b4b7-0e0cbd42ee4e_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image compression\nB.missing tiles\nC.noise\nD.color distortion", "answer": "A"}
{"id": "b7df2529-b53a-4b32-890a-5a11ec0d4e98", "image_1": "Perception/single/b7df2529-b53a-4b32-890a-5a11ec0d4e98_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image compression\nB.haze\nC.missing tiles\nD.blur", "answer": "A"}
{"id": "3bbdec5f-019e-4842-a0df-3736e3ce7786", "image_1": "Perception/single/3bbdec5f-019e-4842-a0df-3736e3ce7786_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.color distortion\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "fc35ee1a-fe92-46c7-a860-1358404a5c76", "image_1": "Perception/single/fc35ee1a-fe92-46c7-a860-1358404a5c76_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.missing tiles\nC.image compression\nD.cloud", "answer": "C"}
{"id": "a8255ad9-316f-463a-b820-1c41e84e00f6", "image_1": "Perception/single/a8255ad9-316f-463a-b820-1c41e84e00f6_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.dead pixel\nB.image compression\nC.blur\nD.haze", "answer": "B"}
{"id": "5cd40500-b319-454d-8fa0-6532a7d3c04b", "image_1": "Perception/single/5cd40500-b319-454d-8fa0-6532a7d3c04b_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.color distortion\nC.image compression\nD.missing tiles", "answer": "C"}
{"id": "f4095891-b6b5-4daf-969e-ad2548f3787f", "image_1": "Perception/single/f4095891-b6b5-4daf-969e-ad2548f3787f_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.image compression\nC.image stretching\nD.blur", "answer": "B"}
{"id": "254b35a1-6c30-44b9-b189-c4e21ee230cb", "image_1": "Perception/single/254b35a1-6c30-44b9-b189-c4e21ee230cb_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.cloud\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "8d4b981d-4356-4f72-bfc7-243ad2c3492f", "image_1": "Perception/single/8d4b981d-4356-4f72-bfc7-243ad2c3492f_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.color distortion\nC.image compression\nD.haze", "answer": "C"}
{"id": "f8b4b133-1b9b-48a5-9dc0-b347f83d66ab", "image_1": "Perception/single/f8b4b133-1b9b-48a5-9dc0-b347f83d66ab_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.blur\nC.color distortion\nD.cloud", "answer": "A"}
{"id": "d6dd4cef-b274-4d56-abaf-39bf30b2000c", "image_1": "Perception/single/d6dd4cef-b274-4d56-abaf-39bf30b2000c_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.haze\nC.image compression\nD.cloud", "answer": "C"}
{"id": "6302b7a7-dc08-4cbb-ab41-305de4e2443c", "image_1": "Perception/single/6302b7a7-dc08-4cbb-ab41-305de4e2443c_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "d43fb528-3f75-4e6e-8680-a2a652334178", "image_1": "Perception/single/d43fb528-3f75-4e6e-8680-a2a652334178_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "da56acb3-c783-413e-bab9-259bcde08a20", "image_1": "Perception/single/da56acb3-c783-413e-bab9-259bcde08a20_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "f20f1822-d12a-4383-8293-bc69308b1c20", "image_1": "Perception/single/f20f1822-d12a-4383-8293-bc69308b1c20_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.haze\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "6314e67a-25a5-4871-a8ea-80888afb4b49", "image_1": "Perception/single/6314e67a-25a5-4871-a8ea-80888afb4b49_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.image compression\nC.color distortion\nD.No distortion", "answer": "B"}
{"id": "dcdd3fff-35de-4ca2-a478-e608252d8dbc", "image_1": "Perception/single/dcdd3fff-35de-4ca2-a478-e608252d8dbc_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.noise\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "78156ef4-20d5-4d20-a195-6e22391b04fd", "image_1": "Perception/single/78156ef4-20d5-4d20-a195-6e22391b04fd_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.dead pixel\nC.No distortion\nD.blur", "answer": "C"}
{"id": "36a52a36-c42a-4f38-92b2-8c656d0f3d9c", "image_1": "Perception/single/36a52a36-c42a-4f38-92b2-8c656d0f3d9c_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.missing tiles\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "27b8a582-d782-4638-809d-770cf0fe031f", "image_1": "Perception/single/27b8a582-d782-4638-809d-770cf0fe031f_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.image compression\nC.No distortion\nD.image stretching", "answer": "B"}
{"id": "17ec50aa-7663-415c-bd45-3d9e3216b70a", "image_1": "Perception/single/17ec50aa-7663-415c-bd45-3d9e3216b70a_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "adabc26e-3ca4-42ea-8804-53308c72f620", "image_1": "Perception/single/adabc26e-3ca4-42ea-8804-53308c72f620_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.color distortion\nC.No distortion\nD.noise", "answer": "C"}
{"id": "062ff685-fe7a-4fb1-82cd-7e5ece5a75d7", "image_1": "Perception/single/062ff685-fe7a-4fb1-82cd-7e5ece5a75d7_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.cloud\nB.dead pixel\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "70abdaeb-fdac-46b5-a951-0f5acb9b195e", "image_1": "Perception/single/70abdaeb-fdac-46b5-a951-0f5acb9b195e_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.cloud\nB.haze\nC.image compression\nD.blur", "answer": "C"}
{"id": "ed6d8580-0b71-4ce5-98f1-8a04d576bf43", "image_1": "Perception/single/ed6d8580-0b71-4ce5-98f1-8a04d576bf43_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.image compression\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "23d75798-f9ec-42f3-8585-c621a1113580", "image_1": "Perception/single/23d75798-f9ec-42f3-8585-c621a1113580_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.No distortion\nC.image compression\nD.blur", "answer": "B"}
{"id": "ce6ba963-5f9d-4c40-b8e1-c17a9e284b56", "image_1": "Perception/single/ce6ba963-5f9d-4c40-b8e1-c17a9e284b56_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.image compression\nB.image stretching\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "7d3796d0-cc1c-4ab6-8d20-abebe32c3866", "image_1": "Perception/single/7d3796d0-cc1c-4ab6-8d20-abebe32c3866_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.image compression\nC.missing tiles\nD.blur", "answer": "B"}
{"id": "9a8345db-4551-4658-b672-f06098aeacfd", "image_1": "Perception/single/9a8345db-4551-4658-b672-f06098aeacfd_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image stretching\nC.image compression\nD.No distortion", "answer": "C"}
{"id": "2cfb045c-af1b-40e9-83d1-2b5fae4508a2", "image_1": "Perception/single/2cfb045c-af1b-40e9-83d1-2b5fae4508a2_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image compression\nB.noise\nC.dead pixel\nD.No distortion", "answer": "A"}
{"id": "12d9d4c2-1bb5-455a-a684-188ae1d1392b", "image_1": "Perception/single/12d9d4c2-1bb5-455a-a684-188ae1d1392b_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.blur\nC.noise\nD.image compression", "answer": "D"}
{"id": "a0013f9b-da22-4341-a938-30f66c4845a2", "image_1": "Perception/single/a0013f9b-da22-4341-a938-30f66c4845a2_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.No distortion\nC.haze\nD.missing tiles", "answer": "B"}
{"id": "11363d89-d9fc-4557-bddd-df0a9674fb36", "image_1": "Perception/single/11363d89-d9fc-4557-bddd-df0a9674fb36_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.image compression\nC.No distortion\nD.haze", "answer": "B"}
{"id": "4f96b1a7-baa2-4a45-a83a-cb331ff0d9a3", "image_1": "Perception/single/4f96b1a7-baa2-4a45-a83a-cb331ff0d9a3_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.blur\nC.color distortion\nD.image compression", "answer": "D"}
{"id": "752d1af2-6913-42e4-8bc0-a2f3750ae761", "image_1": "Perception/single/752d1af2-6913-42e4-8bc0-a2f3750ae761_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.No distortion\nC.haze\nD.cloud", "answer": "B"}
{"id": "055a1989-a22f-4d72-8482-891617c89fa4", "image_1": "Perception/single/055a1989-a22f-4d72-8482-891617c89fa4_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.dead pixel\nB.cloud\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "408d0869-b254-4e6d-bcd1-cf7963ff473f", "image_1": "Perception/single/408d0869-b254-4e6d-bcd1-cf7963ff473f_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.image compression\nD.blur", "answer": "C"}
{"id": "60e06d0c-cc6f-44e8-b71f-99dfdc9278a4", "image_1": "Perception/single/60e06d0c-cc6f-44e8-b71f-99dfdc9278a4_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.image compression\nC.missing tiles\nD.dead pixel", "answer": "B"}
{"id": "20a15922-2508-4c86-84e2-65e0dc611047", "image_1": "Perception/single/20a15922-2508-4c86-84e2-65e0dc611047_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "19381f5a-a988-4794-afc3-e606f8171f68", "image_1": "Perception/single/19381f5a-a988-4794-afc3-e606f8171f68_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.cloud\nB.missing tiles\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "c4e1d747-2f65-49d6-b1bc-2f529cb712cb", "image_1": "Perception/single/c4e1d747-2f65-49d6-b1bc-2f529cb712cb_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.image stretching\nC.No distortion\nD.color distortion", "answer": "A"}
{"id": "09e1b2a8-9d31-47fb-b3bc-76f825fbea1b", "image_1": "Perception/single/09e1b2a8-9d31-47fb-b3bc-76f825fbea1b_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.blur\nC.noise\nD.No distortion", "answer": "A"}
{"id": "80f53715-7581-43e3-bb0b-d3b24c60dc35", "image_1": "Perception/single/80f53715-7581-43e3-bb0b-d3b24c60dc35_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.image compression\nB.missing tiles\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "3b9796e5-bdbb-4e03-9c76-9a46b50b4026", "image_1": "Perception/single/3b9796e5-bdbb-4e03-9c76-9a46b50b4026_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.missing tiles\nB.image stretching\nC.image compression\nD.cloud", "answer": "C"}
{"id": "6e75de55-1852-49e0-92f5-1654db2fc714", "image_1": "Perception/single/6e75de55-1852-49e0-92f5-1654db2fc714_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.No distortion\nC.noise\nD.image compression", "answer": "D"}
{"id": "b18cf6aa-c71e-47c9-b035-a20e3c40b0f5", "image_1": "Perception/single/b18cf6aa-c71e-47c9-b035-a20e3c40b0f5_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.color distortion\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "310349a4-8ee8-4c3e-869a-c8e4a6acd673", "image_1": "Perception/single/310349a4-8ee8-4c3e-869a-c8e4a6acd673_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.noise\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "d7ad289e-ff60-459b-bd77-d791e8f32cbb", "image_1": "Perception/single/d7ad289e-ff60-459b-bd77-d791e8f32cbb_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.image compression\nB.cloud\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "a9fafe6e-0912-4197-95e9-0c0c929bdad3", "image_1": "Perception/single/a9fafe6e-0912-4197-95e9-0c0c929bdad3_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.image compression\nC.color distortion\nD.noise", "answer": "B"}
{"id": "405fe72a-c5d8-4874-9eaa-b2f7b1d3605c", "image_1": "Perception/single/405fe72a-c5d8-4874-9eaa-b2f7b1d3605c_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.color distortion\nC.image compression\nD.blur", "answer": "C"}
{"id": "294d6e9e-9ecb-4919-8be2-3a8863a8d0fd", "image_1": "Perception/single/294d6e9e-9ecb-4919-8be2-3a8863a8d0fd_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.dead pixel\nC.image stretching\nD.haze", "answer": "A"}
{"id": "950ff3f7-c1e4-4485-a71e-b560af3fbb5e", "image_1": "Perception/single/950ff3f7-c1e4-4485-a71e-b560af3fbb5e_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.missing tiles\nB.haze\nC.image compression\nD.cloud", "answer": "C"}
{"id": "64cc3d23-8152-41ef-b04c-7f04d96c9f0f", "image_1": "Perception/single/64cc3d23-8152-41ef-b04c-7f04d96c9f0f_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.image stretching\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "7cc4a95e-d42d-4943-9c02-7021dfff964b", "image_1": "Perception/single/7cc4a95e-d42d-4943-9c02-7021dfff964b_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.dead pixel\nC.haze\nD.blur", "answer": "A"}
{"id": "791a1204-62ed-46e4-b934-28805b6e54cf", "image_1": "Perception/single/791a1204-62ed-46e4-b934-28805b6e54cf_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.color distortion\nC.blur\nD.No distortion", "answer": "D"}
{"id": "f74c0b78-1777-4038-b840-c06650431238", "image_1": "Perception/single/f74c0b78-1777-4038-b840-c06650431238_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.blur\nC.image compression\nD.dead pixel", "answer": "C"}
{"id": "ae8d17d6-c7f2-4bac-b9aa-16a0a3b8e363", "image_1": "Perception/single/ae8d17d6-c7f2-4bac-b9aa-16a0a3b8e363_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.haze\nC.noise\nD.color distortion", "answer": "A"}
{"id": "f996a5a4-7c32-43be-a4fb-0c7a7bc68578", "image_1": "Perception/single/f996a5a4-7c32-43be-a4fb-0c7a7bc68578_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.dead pixel\nC.image compression\nD.haze", "answer": "C"}
{"id": "29fcaa72-7e00-4282-85f9-10d6c5f62447", "image_1": "Perception/single/29fcaa72-7e00-4282-85f9-10d6c5f62447_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.haze\nC.image compression\nD.dead pixel", "answer": "C"}
{"id": "973160b2-b953-4de0-a89d-aa1b39f1e2a9", "image_1": "Perception/single/973160b2-b953-4de0-a89d-aa1b39f1e2a9_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.cloud\nB.noise\nC.dead pixel\nD.image compression", "answer": "D"}
{"id": "642c6a6e-86a1-492e-a71d-08899c6e8989", "image_1": "Perception/single/642c6a6e-86a1-492e-a71d-08899c6e8989_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "c22ac05d-8f99-47e2-9506-e79f28aa199a", "image_1": "Perception/single/c22ac05d-8f99-47e2-9506-e79f28aa199a_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.noise\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "c79b93a4-fe6b-4f20-970c-a1ba1469a3ce", "image_1": "Perception/single/c79b93a4-fe6b-4f20-970c-a1ba1469a3ce_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.color distortion\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "0b1031c1-68ce-4118-b059-d59c0dbaac5c", "image_1": "Perception/single/0b1031c1-68ce-4118-b059-d59c0dbaac5c_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.image compression\nB.No distortion\nC.haze\nD.color distortion", "answer": "A"}
{"id": "aae1edd7-ab18-42eb-967d-2d524cd0d51e", "image_1": "Perception/single/aae1edd7-ab18-42eb-967d-2d524cd0d51e_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.blur\nB.image compression\nC.color distortion\nD.dead pixel", "answer": "B"}
{"id": "4f56d470-6e57-4c40-9ba4-cca93c223492", "image_1": "Perception/single/4f56d470-6e57-4c40-9ba4-cca93c223492_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.blur\nB.dead pixel\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "4b53570a-d838-4f61-b851-4e84db438106", "image_1": "Perception/single/4b53570a-d838-4f61-b851-4e84db438106_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.image compression\nB.blur\nC.haze\nD.dead pixel", "answer": "A"}
{"id": "7faf0e60-f1d3-4715-a119-1b8a1614158c", "image_1": "Perception/single/7faf0e60-f1d3-4715-a119-1b8a1614158c_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.noise\nC.haze\nD.dead pixel", "answer": "A"}
{"id": "a2c08437-acc2-4070-9c76-c78268f00364", "image_1": "Perception/single/a2c08437-acc2-4070-9c76-c78268f00364_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.image compression\nC.blur\nD.No distortion", "answer": "D"}
{"id": "d281d51c-ad70-4614-aa57-77a037c76238", "image_1": "Perception/single/d281d51c-ad70-4614-aa57-77a037c76238_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.image stretching\nC.image compression\nD.blur", "answer": "C"}
{"id": "349cf373-ea20-488a-a3b3-8c51e91cb4e9", "image_1": "Perception/single/349cf373-ea20-488a-a3b3-8c51e91cb4e9_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.haze\nD.image compression", "answer": "D"}
{"id": "72c03d90-08ec-49a9-ad61-b082c4ed9486", "image_1": "Perception/single/72c03d90-08ec-49a9-ad61-b082c4ed9486_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.cloud\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "c60c0620-6602-43a2-9488-1bcb1a763bdf", "image_1": "Perception/single/c60c0620-6602-43a2-9488-1bcb1a763bdf_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.image compression\nC.blur\nD.haze", "answer": "B"}
{"id": "691e3c23-43e4-4be0-9818-4ecaee6b2638", "image_1": "Perception/single/691e3c23-43e4-4be0-9818-4ecaee6b2638_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image compression\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "4c6367a6-72ac-4f9f-8a8c-29678f1e4951", "image_1": "Perception/single/4c6367a6-72ac-4f9f-8a8c-29678f1e4951_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.noise\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "8921b78e-60aa-48ea-947d-05cbb7b2ce71", "image_1": "Perception/single/8921b78e-60aa-48ea-947d-05cbb7b2ce71_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.haze\nC.color distortion\nD.blur", "answer": "A"}
{"id": "058228d7-76ae-444d-aa9b-23b27c768516", "image_1": "Perception/single/058228d7-76ae-444d-aa9b-23b27c768516_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.image compression\nB.color distortion\nC.noise\nD.dead pixel", "answer": "A"}
{"id": "21c90113-5a15-4ff5-b143-5e96e82db56f", "image_1": "Perception/single/21c90113-5a15-4ff5-b143-5e96e82db56f_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.missing tiles\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "1ef062f2-bbc9-4b32-a737-676f578bbd23", "image_1": "Perception/single/1ef062f2-bbc9-4b32-a737-676f578bbd23_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.image compression\nC.No distortion\nD.cloud", "answer": "B"}
{"id": "91ec40c6-7a0b-47c0-85eb-0b906deca37c", "image_1": "Perception/single/91ec40c6-7a0b-47c0-85eb-0b906deca37c_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.dead pixel\nC.No distortion\nD.noise", "answer": "A"}
{"id": "bb7c658e-79c4-4c7a-ab20-3b5f4b3c9068", "image_1": "Perception/single/bb7c658e-79c4-4c7a-ab20-3b5f4b3c9068_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.haze\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "70f23fe4-239c-4407-81ed-638603bf809f", "image_1": "Perception/single/70f23fe4-239c-4407-81ed-638603bf809f_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image stretching\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "d4d1a0ce-08e9-4bf1-92ee-df8ed729b373", "image_1": "Perception/single/d4d1a0ce-08e9-4bf1-92ee-df8ed729b373_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "7d429702-7f00-4715-8996-2c4d70b26154", "image_1": "Perception/single/7d429702-7f00-4715-8996-2c4d70b26154_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.No distortion\nC.cloud\nD.noise", "answer": "A"}
{"id": "269045ca-3d46-4cb8-a271-5ec140cb6501", "image_1": "Perception/single/269045ca-3d46-4cb8-a271-5ec140cb6501_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.dead pixel\nC.image compression\nD.cloud", "answer": "C"}
{"id": "0075965c-f649-4a80-b75e-b974c17d7752", "image_1": "Perception/single/0075965c-f649-4a80-b75e-b974c17d7752_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.missing tiles\nC.image compression\nD.noise", "answer": "C"}
{"id": "f6795791-d620-4c87-a1a0-dd8a370a838c", "image_1": "Perception/single/f6795791-d620-4c87-a1a0-dd8a370a838c_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.cloud\nC.image compression\nD.blur", "answer": "C"}
{"id": "fd5822eb-69c7-4b2d-bb41-eef949093bd6", "image_1": "Perception/single/fd5822eb-69c7-4b2d-bb41-eef949093bd6_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.blur\nC.haze\nD.image compression", "answer": "D"}
{"id": "c7457444-d2d2-4455-bac6-6ffd210c229e", "image_1": "Perception/single/c7457444-d2d2-4455-bac6-6ffd210c229e_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.image compression\nC.No distortion\nD.noise", "answer": "C"}
{"id": "6722a0f4-a0e2-40ca-86af-abb83fbbeb07", "image_1": "Perception/single/6722a0f4-a0e2-40ca-86af-abb83fbbeb07_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.image compression\nB.dead pixel\nC.blur\nD.noise", "answer": "A"}
{"id": "8df84ddf-ea41-44f2-84fe-09194b04fe1f", "image_1": "Perception/single/8df84ddf-ea41-44f2-84fe-09194b04fe1f_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.blur\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "ceb6511f-2cac-4201-bd76-413574f8cbc7", "image_1": "Perception/single/ceb6511f-2cac-4201-bd76-413574f8cbc7_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.noise\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "1f91be37-cf90-4c76-9bf9-ca07bd47d695", "image_1": "Perception/single/1f91be37-cf90-4c76-9bf9-ca07bd47d695_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.No distortion\nB.color distortion\nC.cloud\nD.blur", "answer": "A"}
{"id": "5830ca07-e177-4c1c-ad9d-ec518456e80e", "image_1": "Perception/single/5830ca07-e177-4c1c-ad9d-ec518456e80e_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.blur\nB.image compression\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "181af962-97ac-43ce-b497-86fd0bcc4485", "image_1": "Perception/single/181af962-97ac-43ce-b497-86fd0bcc4485_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.missing tiles\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "f8393d24-ebba-448e-817e-865b100e2c38", "image_1": "Perception/single/f8393d24-ebba-448e-817e-865b100e2c38_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.image compression\nC.missing tiles\nD.image stretching", "answer": "B"}
{"id": "10064ef4-c954-482a-834c-e81b408bcc67", "image_1": "Perception/single/10064ef4-c954-482a-834c-e81b408bcc67_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image compression\nB.No distortion\nC.image stretching\nD.missing tiles", "answer": "A"}
{"id": "0662a34a-d609-4eb4-9175-0084dcf9ccaf", "image_1": "Perception/single/0662a34a-d609-4eb4-9175-0084dcf9ccaf_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.blur\nC.noise\nD.image compression", "answer": "D"}
{"id": "68867d84-dcf8-4566-864b-7ca02774385a", "image_1": "Perception/single/68867d84-dcf8-4566-864b-7ca02774385a_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.cloud\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "C"}
{"id": "17d1eff0-deaf-4d95-9983-ee5b5efaa0a6", "image_1": "Perception/single/17d1eff0-deaf-4d95-9983-ee5b5efaa0a6_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.image stretching\nC.image compression\nD.haze", "answer": "C"}
{"id": "839e1a55-6c7d-4753-9926-11db0e11b60f", "image_1": "Perception/single/839e1a55-6c7d-4753-9926-11db0e11b60f_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image compression\nB.missing tiles\nC.noise\nD.color distortion", "answer": "A"}
{"id": "49e6cbe8-20bc-469d-880a-7c0bb03a9faa", "image_1": "Perception/single/49e6cbe8-20bc-469d-880a-7c0bb03a9faa_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image compression\nB.haze\nC.missing tiles\nD.blur", "answer": "A"}
{"id": "4d95c2a9-974d-4fcb-9e95-023b4f5170b7", "image_1": "Perception/single/4d95c2a9-974d-4fcb-9e95-023b4f5170b7_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image compression\nB.color distortion\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "586a5bf8-e187-46b0-83ab-cb8d9f3cf413", "image_1": "Perception/single/586a5bf8-e187-46b0-83ab-cb8d9f3cf413_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.missing tiles\nC.image compression\nD.cloud", "answer": "C"}
{"id": "5e1fec12-7bd9-4cbc-98f7-d18efb71ba9e", "image_1": "Perception/single/5e1fec12-7bd9-4cbc-98f7-d18efb71ba9e_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.dead pixel\nB.image compression\nC.blur\nD.haze", "answer": "B"}
{"id": "6db138d9-9269-4adc-8197-900a7a035a55", "image_1": "Perception/single/6db138d9-9269-4adc-8197-900a7a035a55_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.color distortion\nC.image compression\nD.missing tiles", "answer": "C"}
{"id": "d90c2d00-7fae-41bc-8242-ef2a82680189", "image_1": "Perception/single/d90c2d00-7fae-41bc-8242-ef2a82680189_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.No distortion\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "17dd9cfd-0869-4e11-98d0-207777f39729", "image_1": "Perception/single/17dd9cfd-0869-4e11-98d0-207777f39729_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.cloud\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "ae3a232e-2f3c-4133-8df7-3a6ac9f9f3fb", "image_1": "Perception/single/ae3a232e-2f3c-4133-8df7-3a6ac9f9f3fb_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.color distortion\nC.No distortion\nD.haze", "answer": "C"}
{"id": "6c5932bd-3ed1-4f5f-9dc7-d7ceb77f6787", "image_1": "Perception/single/6c5932bd-3ed1-4f5f-9dc7-d7ceb77f6787_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image compression\nB.missing tiles\nC.color distortion\nD.cloud", "answer": "A"}
{"id": "c50ba014-59f9-431a-8715-2a5e70a315e9", "image_1": "Perception/single/c50ba014-59f9-431a-8715-2a5e70a315e9_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.haze\nC.image compression\nD.cloud", "answer": "C"}
{"id": "e9e9fe84-a36b-4fcb-8b7c-8213950eda5d", "image_1": "Perception/single/e9e9fe84-a36b-4fcb-8b7c-8213950eda5d_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "7b3b053a-69f6-4718-a196-2bdf5a25be43", "image_1": "Perception/single/7b3b053a-69f6-4718-a196-2bdf5a25be43_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.missing tiles\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "289077ba-a9d6-4707-aa72-e6690eecc0e8", "image_1": "Perception/single/289077ba-a9d6-4707-aa72-e6690eecc0e8_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.No distortion\nC.image compression\nD.dead pixel", "answer": "C"}
{"id": "16a1490f-0b5e-46a2-9d6e-8d8720baa69a", "image_1": "Perception/single/16a1490f-0b5e-46a2-9d6e-8d8720baa69a_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.haze\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "2ae3a419-e645-4462-a805-2c2f94c07234", "image_1": "Perception/single/2ae3a419-e645-4462-a805-2c2f94c07234_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.No distortion\nC.color distortion\nD.dead pixel", "answer": "B"}
{"id": "21912e33-1d58-42d7-a265-233e584954a9", "image_1": "Perception/single/21912e33-1d58-42d7-a265-233e584954a9_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "49faad20-8411-4b1e-b0b7-44f1ac44535c", "image_1": "Perception/single/49faad20-8411-4b1e-b0b7-44f1ac44535c_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.No distortion\nC.image compression\nD.missing tiles", "answer": "C"}
{"id": "a191d5ff-4541-4b98-a8ba-96bc04f6fc3a", "image_1": "Perception/single/a191d5ff-4541-4b98-a8ba-96bc04f6fc3a_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.missing tiles\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "b8faff65-2a14-47f6-9247-cde6234b1887", "image_1": "Perception/single/b8faff65-2a14-47f6-9247-cde6234b1887_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.No distortion\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "7130c023-bc22-4b58-b0d3-389c7bc90c05", "image_1": "Perception/single/7130c023-bc22-4b58-b0d3-389c7bc90c05_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "e8011ba8-d9d1-4086-9d8d-703444cf2def", "image_1": "Perception/single/e8011ba8-d9d1-4086-9d8d-703444cf2def_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.color distortion\nC.image compression\nD.noise", "answer": "C"}
{"id": "5f896957-18c7-4bbd-9b09-7130c7e21c8a", "image_1": "Perception/single/5f896957-18c7-4bbd-9b09-7130c7e21c8a_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.cloud\nB.No distortion\nC.blur\nD.image compression", "answer": "D"}
{"id": "d4382d01-f3c9-4a8a-a669-3d5d3dbb3285", "image_1": "Perception/single/d4382d01-f3c9-4a8a-a669-3d5d3dbb3285_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.cloud\nB.haze\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "232e8e24-9a3a-488b-9cbe-a09ac7e25277", "image_1": "Perception/single/232e8e24-9a3a-488b-9cbe-a09ac7e25277_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.image compression\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "be9f2ea8-792a-4f61-b1ac-8ce3aba34c10", "image_1": "Perception/single/be9f2ea8-792a-4f61-b1ac-8ce3aba34c10_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.image compression\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "03d76db1-2c14-4759-8887-a77d52cc0c3c", "image_1": "Perception/single/03d76db1-2c14-4759-8887-a77d52cc0c3c_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.image compression\nB.image stretching\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "a45ab504-2b13-4a82-b619-25dd0c88a58e", "image_1": "Perception/single/a45ab504-2b13-4a82-b619-25dd0c88a58e_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.No distortion\nC.blur\nD.image compression", "answer": "B"}
{"id": "49d724e0-14a1-4fa7-9eed-2aed61899329", "image_1": "Perception/single/49d724e0-14a1-4fa7-9eed-2aed61899329_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image stretching\nC.image compression\nD.No distortion", "answer": "C"}
{"id": "7abd23b9-b59d-45fb-959b-60cb0404972f", "image_1": "Perception/single/7abd23b9-b59d-45fb-959b-60cb0404972f_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image compression\nB.noise\nC.dead pixel\nD.No distortion", "answer": "A"}
{"id": "8f3c1309-dc15-4a90-850f-703c6c89f90a", "image_1": "Perception/single/8f3c1309-dc15-4a90-850f-703c6c89f90a_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.blur\nC.noise\nD.image compression", "answer": "D"}
{"id": "3ccce423-e95e-42c7-a34d-cef6c89f038b", "image_1": "Perception/single/3ccce423-e95e-42c7-a34d-cef6c89f038b_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.image compression\nC.haze\nD.dead pixel", "answer": "B"}
{"id": "e81a2697-89ab-4dac-a350-53af67507b3d", "image_1": "Perception/single/e81a2697-89ab-4dac-a350-53af67507b3d_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.image compression\nC.No distortion\nD.haze", "answer": "B"}
{"id": "f3c62992-a278-4b67-87c0-2597dea91b26", "image_1": "Perception/single/f3c62992-a278-4b67-87c0-2597dea91b26_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.blur\nC.color distortion\nD.image compression", "answer": "D"}
{"id": "7188d56e-e45d-40bd-ab52-c365a5794d74", "image_1": "Perception/single/7188d56e-e45d-40bd-ab52-c365a5794d74_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.dead pixel\nB.image compression\nC.haze\nD.cloud", "answer": "B"}
{"id": "ea1327af-b0af-4b4a-9197-54f987ab9952", "image_1": "Perception/single/ea1327af-b0af-4b4a-9197-54f987ab9952_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.dead pixel\nB.cloud\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "a92f6036-67d1-4197-a5e1-36ad6be61ba9", "image_1": "Perception/single/a92f6036-67d1-4197-a5e1-36ad6be61ba9_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.image compression\nD.blur", "answer": "C"}
{"id": "138207cb-2ca2-4cbb-9a41-8213dca1b751", "image_1": "Perception/single/138207cb-2ca2-4cbb-9a41-8213dca1b751_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.image compression\nC.missing tiles\nD.dead pixel", "answer": "B"}
{"id": "32d8cb02-9a93-4f51-b5f4-8fc449842684", "image_1": "Perception/single/32d8cb02-9a93-4f51-b5f4-8fc449842684_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "fc9a4ae2-22d4-47b6-a782-25c3823fec08", "image_1": "Perception/single/fc9a4ae2-22d4-47b6-a782-25c3823fec08_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.cloud\nB.blur\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "b29355e5-9e5e-448c-a398-b8f55a1626b3", "image_1": "Perception/single/b29355e5-9e5e-448c-a398-b8f55a1626b3_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.image stretching\nC.dead pixel\nD.color distortion", "answer": "A"}
{"id": "b538d6a1-b9ea-43fe-99ce-b847cfc45e84", "image_1": "Perception/single/b538d6a1-b9ea-43fe-99ce-b847cfc45e84_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.image compression\nC.noise\nD.dead pixel", "answer": "A"}
{"id": "c958166d-b03f-4687-832b-00b0e3524290", "image_1": "Perception/single/c958166d-b03f-4687-832b-00b0e3524290_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.image compression\nB.missing tiles\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "7758c141-01b3-45fe-bb0d-42c4e16248f8", "image_1": "Perception/single/7758c141-01b3-45fe-bb0d-42c4e16248f8_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.missing tiles\nB.image stretching\nC.image compression\nD.cloud", "answer": "C"}
{"id": "fdb1e986-4677-43d1-bcf0-2452b7e6088e", "image_1": "Perception/single/fdb1e986-4677-43d1-bcf0-2452b7e6088e_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.No distortion\nC.noise\nD.image compression", "answer": "D"}
{"id": "7691550b-494e-4aba-aebc-1037c57c7b99", "image_1": "Perception/single/7691550b-494e-4aba-aebc-1037c57c7b99_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.image compression\nB.color distortion\nC.image stretching\nD.blur", "answer": "A"}
{"id": "57a552d8-ded3-4bb9-b8ef-f3923cf86719", "image_1": "Perception/single/57a552d8-ded3-4bb9-b8ef-f3923cf86719_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.noise\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "19f18f8f-e49b-43b5-89df-58e89a0792e8", "image_1": "Perception/single/19f18f8f-e49b-43b5-89df-58e89a0792e8_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.cloud\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "8fd11568-6c19-426b-bcf7-2b8bce352f75", "image_1": "Perception/single/8fd11568-6c19-426b-bcf7-2b8bce352f75_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.image compression\nC.color distortion\nD.noise", "answer": "B"}
{"id": "15e15944-790b-47f3-a2b3-830e77e18676", "image_1": "Perception/single/15e15944-790b-47f3-a2b3-830e77e18676_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.color distortion\nC.image compression\nD.blur", "answer": "C"}
{"id": "ee9916e5-d5fb-4da8-a626-a3d1332ea852", "image_1": "Perception/single/ee9916e5-d5fb-4da8-a626-a3d1332ea852_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.image compression\nB.No distortion\nC.image stretching\nD.haze", "answer": "A"}
{"id": "fee64a83-3231-4e26-8473-d2b46aca210c", "image_1": "Perception/single/fee64a83-3231-4e26-8473-d2b46aca210c_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.missing tiles\nB.haze\nC.image compression\nD.cloud", "answer": "C"}
{"id": "3ec62724-0452-41ba-8ba0-27c489bcaaa0", "image_1": "Perception/single/3ec62724-0452-41ba-8ba0-27c489bcaaa0_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.image stretching\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "2db3b128-18df-4bb3-8571-e9cfe4c08c34", "image_1": "Perception/single/2db3b128-18df-4bb3-8571-e9cfe4c08c34_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.dead pixel\nC.haze\nD.blur", "answer": "A"}
{"id": "f32b153c-6c0d-48d8-bc23-05cd77d2136f", "image_1": "Perception/single/f32b153c-6c0d-48d8-bc23-05cd77d2136f_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.color distortion\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "77833f07-d1a4-40df-8f5e-be7a941a7c89", "image_1": "Perception/single/77833f07-d1a4-40df-8f5e-be7a941a7c89_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "77e928d4-5c12-4d85-962c-4a51afc1d262", "image_1": "Perception/single/77e928d4-5c12-4d85-962c-4a51afc1d262_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.image compression\nB.haze\nC.noise\nD.color distortion", "answer": "A"}
{"id": "1bcb68b2-d9e4-468d-b3e8-ab9e8d286c0c", "image_1": "Perception/single/1bcb68b2-d9e4-468d-b3e8-ab9e8d286c0c_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.dead pixel\nC.image compression\nD.haze", "answer": "C"}
{"id": "bff7e85a-96ef-467d-a49a-dc5d1f8c2c67", "image_1": "Perception/single/bff7e85a-96ef-467d-a49a-dc5d1f8c2c67_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.haze\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "cd520e68-919f-46c0-8828-b76c2864e915", "image_1": "Perception/single/cd520e68-919f-46c0-8828-b76c2864e915_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.cloud\nB.noise\nC.dead pixel\nD.image compression", "answer": "D"}
{"id": "4e5845a1-9e67-4e78-a3eb-801808e5d162", "image_1": "Perception/single/4e5845a1-9e67-4e78-a3eb-801808e5d162_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "167e3ee2-cbe9-4339-b24e-e19b9bf9c286", "image_1": "Perception/single/167e3ee2-cbe9-4339-b24e-e19b9bf9c286_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.noise\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "0d94fb02-288c-4641-b730-1198054a7cd6", "image_1": "Perception/single/0d94fb02-288c-4641-b730-1198054a7cd6_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.color distortion\nC.blur\nD.image compression", "answer": "D"}
{"id": "acefb14b-6f3d-456d-b7e3-b66f2ce3868f", "image_1": "Perception/single/acefb14b-6f3d-456d-b7e3-b66f2ce3868f_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.image compression\nB.No distortion\nC.haze\nD.color distortion", "answer": "A"}
{"id": "86bd44cb-ce23-403b-b95a-3262968f0927", "image_1": "Perception/single/86bd44cb-ce23-403b-b95a-3262968f0927_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.No distortion\nC.color distortion\nD.missing tiles", "answer": "B"}
{"id": "c4a4caf5-d945-4e96-bacd-3b4234f623b6", "image_1": "Perception/single/c4a4caf5-d945-4e96-bacd-3b4234f623b6_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.blur\nB.dead pixel\nC.No distortion\nD.image compression", "answer": "D"}
{"id": "e5e817c1-462e-465f-abd8-8ff6d6f17ecb", "image_1": "Perception/single/e5e817c1-462e-465f-abd8-8ff6d6f17ecb_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.image compression\nB.blur\nC.haze\nD.dead pixel", "answer": "A"}
{"id": "2fbc8e13-98e8-4b8d-a9a1-7f0c2e24f973", "image_1": "Perception/single/2fbc8e13-98e8-4b8d-a9a1-7f0c2e24f973_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.noise\nC.haze\nD.dead pixel", "answer": "A"}
{"id": "0775ce98-335a-4349-9248-833292b3d870", "image_1": "Perception/single/0775ce98-335a-4349-9248-833292b3d870_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.blur\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "212f24bf-e73f-4fa4-961a-937a0e1ec3e2", "image_1": "Perception/single/212f24bf-e73f-4fa4-961a-937a0e1ec3e2_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.image stretching\nC.image compression\nD.blur", "answer": "C"}
{"id": "f45f2315-320f-463b-a2e1-a819314d0ff2", "image_1": "Perception/single/f45f2315-320f-463b-a2e1-a819314d0ff2_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.noise\nC.haze\nD.No distortion", "answer": "D"}
{"id": "b9d51e14-dee2-4801-9cca-c173fad5b498", "image_1": "Perception/single/b9d51e14-dee2-4801-9cca-c173fad5b498_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.cloud\nC.missing tiles\nD.image compression", "answer": "D"}
{"id": "3351c175-31e0-4f28-a442-78a94d464850", "image_1": "Perception/single/3351c175-31e0-4f28-a442-78a94d464850_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.image compression\nC.blur\nD.haze", "answer": "B"}
{"id": "279c0c37-bd3b-4e65-9c36-af06322ee9e0", "image_1": "Perception/single/279c0c37-bd3b-4e65-9c36-af06322ee9e0_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "aca04a8b-e54e-4059-8399-7b9ca599f812", "image_1": "Perception/single/aca04a8b-e54e-4059-8399-7b9ca599f812_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.noise\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "74940158-275b-485b-bb21-3d0cf3e93bda", "image_1": "Perception/single/74940158-275b-485b-bb21-3d0cf3e93bda_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.haze\nC.color distortion\nD.blur", "answer": "A"}
{"id": "cf72be20-f491-4a35-8207-5d3dc73f8dd9", "image_1": "Perception/single/cf72be20-f491-4a35-8207-5d3dc73f8dd9_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.image compression\nB.color distortion\nC.noise\nD.dead pixel", "answer": "A"}
{"id": "03fdd79d-f715-4d4b-ad35-e53f59809327", "image_1": "Perception/single/03fdd79d-f715-4d4b-ad35-e53f59809327_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.dead pixel\nC.image compression\nD.color distortion", "answer": "C"}
{"id": "7f49af45-cf52-42df-bd70-69353f42b392", "image_1": "Perception/single/7f49af45-cf52-42df-bd70-69353f42b392_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.No distortion\nC.dead pixel\nD.cloud", "answer": "B"}
{"id": "72a2243b-30fd-489c-878e-3fbd313ce5ec", "image_1": "Perception/single/72a2243b-30fd-489c-878e-3fbd313ce5ec_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "A"}
{"id": "9a18c5d8-72ad-457a-80fb-283f0625ac41", "image_1": "Perception/single/9a18c5d8-72ad-457a-80fb-283f0625ac41_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.haze\nC.image stretching\nD.image compression", "answer": "D"}
{"id": "5c433e91-ca4e-4b72-a39e-1d1ef266f42e", "image_1": "Perception/single/5c433e91-ca4e-4b72-a39e-1d1ef266f42e_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image compression\nB.image stretching\nC.color distortion\nD.No distortion", "answer": "A"}
{"id": "faa30613-a4d6-4fc9-ba4c-548d1bc4674a", "image_1": "Perception/single/faa30613-a4d6-4fc9-ba4c-548d1bc4674a_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "fc5a59b6-6afa-46ad-9d3e-db74d1c3f34b", "image_1": "Perception/single/fc5a59b6-6afa-46ad-9d3e-db74d1c3f34b_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.No distortion\nC.cloud\nD.noise", "answer": "A"}
{"id": "a6285564-519b-42b5-8c4e-dbb24022ecb1", "image_1": "Perception/single/a6285564-519b-42b5-8c4e-dbb24022ecb1_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.dead pixel\nC.image compression\nD.cloud", "answer": "C"}
{"id": "32ff9626-8268-4d8b-8b46-5d21bbcb8cd6", "image_1": "Perception/single/32ff9626-8268-4d8b-8b46-5d21bbcb8cd6_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.blur\nC.No distortion\nD.noise", "answer": "C"}
{"id": "1d9b420e-76e3-418c-a7ac-671446415d06", "image_1": "Perception/single/1d9b420e-76e3-418c-a7ac-671446415d06_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.No distortion\nC.color distortion\nD.image compression", "answer": "C"}
{"id": "bb9294f5-7e81-427d-b0d0-cfe3fee58f1c", "image_1": "Perception/single/bb9294f5-7e81-427d-b0d0-cfe3fee58f1c_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.image compression\nC.haze\nD.color distortion", "answer": "D"}
{"id": "b672d6d3-dadb-493e-9bb6-1c322731d039", "image_1": "Perception/single/b672d6d3-dadb-493e-9bb6-1c322731d039_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.image compression\nC.color distortion\nD.cloud", "answer": "C"}
{"id": "13220a1b-91ef-4be5-a253-81587b02d17d", "image_1": "Perception/single/13220a1b-91ef-4be5-a253-81587b02d17d_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.color distortion\nB.missing tiles\nC.image compression\nD.cloud", "answer": "A"}
{"id": "4add7fb1-b420-485c-9768-ce88cf6ed36c", "image_1": "Perception/single/4add7fb1-b420-485c-9768-ce88cf6ed36c_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.cloud\nB.image compression\nC.dead pixel\nD.color distortion", "answer": "D"}
{"id": "f3bac475-b785-4528-82aa-5c45aebab6ab", "image_1": "Perception/single/f3bac475-b785-4528-82aa-5c45aebab6ab_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.noise\nB.cloud\nC.No distortion\nD.color distortion", "answer": "D"}
{"id": "b5e6a0b7-9b94-42ea-986d-f3c8d555145e", "image_1": "Perception/single/b5e6a0b7-9b94-42ea-986d-f3c8d555145e_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.No distortion\nB.color distortion\nC.cloud\nD.blur", "answer": "A"}
{"id": "1c56411f-8149-4ddd-8b26-1b37a61d7e24", "image_1": "Perception/single/1c56411f-8149-4ddd-8b26-1b37a61d7e24_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.color distortion\nC.cloud\nD.blur", "answer": "B"}
{"id": "35345b00-a937-4c35-93f1-e6e38976025d", "image_1": "Perception/single/35345b00-a937-4c35-93f1-e6e38976025d_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.color distortion\nB.blur\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "c977e536-69be-4715-aac4-0eda528e99ce", "image_1": "Perception/single/c977e536-69be-4715-aac4-0eda528e99ce_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.color distortion\nC.blur\nD.image stretching", "answer": "B"}
{"id": "186ceff7-40ca-4833-ad4d-30565b586619", "image_1": "Perception/single/186ceff7-40ca-4833-ad4d-30565b586619_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.color distortion\nB.dead pixel\nC.image stretching\nD.blur", "answer": "A"}
{"id": "75074a5c-1678-4023-a09e-1598d493040c", "image_1": "Perception/single/75074a5c-1678-4023-a09e-1598d493040c_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.cloud\nD.color distortion", "answer": "D"}
{"id": "fdb3b762-8d37-49a8-bb22-dcd4bbc790b6", "image_1": "Perception/single/fdb3b762-8d37-49a8-bb22-dcd4bbc790b6_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.color distortion\nD.dead pixel", "answer": "C"}
{"id": "3623303c-13f1-4b5b-953a-b2119e9ef2ca", "image_1": "Perception/single/3623303c-13f1-4b5b-953a-b2119e9ef2ca_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.missing tiles\nB.image stretching\nC.color distortion\nD.haze", "answer": "C"}
{"id": "9168b6fa-c664-48c8-a8ec-db19f8dc1808", "image_1": "Perception/single/9168b6fa-c664-48c8-a8ec-db19f8dc1808_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.color distortion\nB.blur\nC.cloud\nD.noise", "answer": "A"}
{"id": "cf560b1d-c92a-4cc0-9e3a-6c8bed1bcd6f", "image_1": "Perception/single/cf560b1d-c92a-4cc0-9e3a-6c8bed1bcd6f_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.haze\nC.blur\nD.image compression", "answer": "A"}
{"id": "93600790-8173-4ba1-9e23-964b8e512f87", "image_1": "Perception/single/93600790-8173-4ba1-9e23-964b8e512f87_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.noise\nC.image stretching\nD.No distortion", "answer": "A"}
{"id": "4c3628c1-5d39-4c2e-8bed-8463f36a1b70", "image_1": "Perception/single/4c3628c1-5d39-4c2e-8bed-8463f36a1b70_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.noise\nB.blur\nC.color distortion\nD.No distortion", "answer": "C"}
{"id": "17498aad-1977-429f-8a1c-6f36729d5187", "image_1": "Perception/single/17498aad-1977-429f-8a1c-6f36729d5187_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.missing tiles\nB.color distortion\nC.image compression\nD.haze", "answer": "B"}
{"id": "fbfcc3e1-6da2-4dd9-81b9-f1edf2e14256", "image_1": "Perception/single/fbfcc3e1-6da2-4dd9-81b9-f1edf2e14256_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.noise\nC.color distortion\nD.blur", "answer": "C"}
{"id": "057e8dff-9c5d-4ed0-aea1-f58a20508219", "image_1": "Perception/single/057e8dff-9c5d-4ed0-aea1-f58a20508219_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.color distortion\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "988fe72d-afe0-4c4c-8949-521c74668582", "image_1": "Perception/single/988fe72d-afe0-4c4c-8949-521c74668582_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.No distortion\nC.blur\nD.color distortion", "answer": "D"}
{"id": "d0c1a764-d65e-47cc-90b6-3a286e037733", "image_1": "Perception/single/d0c1a764-d65e-47cc-90b6-3a286e037733_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.noise\nC.color distortion\nD.haze", "answer": "C"}
{"id": "4b820b69-6c82-4dbd-a44f-410cb818204e", "image_1": "Perception/single/4b820b69-6c82-4dbd-a44f-410cb818204e_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.color distortion\nB.blur\nC.noise\nD.No distortion", "answer": "A"}
{"id": "891773ee-cc77-4cbb-ba53-8c5ca1f993e6", "image_1": "Perception/single/891773ee-cc77-4cbb-ba53-8c5ca1f993e6_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.haze\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "d4480370-5c21-4adb-b2e0-dcb06c58d21d", "image_1": "Perception/single/d4480370-5c21-4adb-b2e0-dcb06c58d21d_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.color distortion\nC.cloud\nD.blur", "answer": "B"}
{"id": "656545f4-876a-49fc-b7d3-6d58ebdf55dc", "image_1": "Perception/single/656545f4-876a-49fc-b7d3-6d58ebdf55dc_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.image stretching\nD.color distortion", "answer": "D"}
{"id": "b92ea0e7-5bbc-4b3c-8229-2d4d3d92f3b8", "image_1": "Perception/single/b92ea0e7-5bbc-4b3c-8229-2d4d3d92f3b8_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.dead pixel\nC.color distortion\nD.missing tiles", "answer": "C"}
{"id": "6a6bc27d-1b9b-4cc4-8e63-6a9a26d01356", "image_1": "Perception/single/6a6bc27d-1b9b-4cc4-8e63-6a9a26d01356_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.haze\nC.color distortion\nD.noise", "answer": "C"}
{"id": "463bfbd1-0c32-4886-a1ee-6f73f49b610e", "image_1": "Perception/single/463bfbd1-0c32-4886-a1ee-6f73f49b610e_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.color distortion\nC.noise\nD.dead pixel", "answer": "B"}
{"id": "c095879b-0c28-4601-919f-270c41687875", "image_1": "Perception/single/c095879b-0c28-4601-919f-270c41687875_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.cloud\nC.color distortion\nD.noise", "answer": "C"}
{"id": "f6b8c4aa-b342-463e-824d-03c9c8c2cbb5", "image_1": "Perception/single/f6b8c4aa-b342-463e-824d-03c9c8c2cbb5_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.dead pixel\nC.color distortion\nD.blur", "answer": "C"}
{"id": "25a73387-150a-4672-91b1-6a4f50b8b451", "image_1": "Perception/single/25a73387-150a-4672-91b1-6a4f50b8b451_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.blur\nC.image stretching\nD.color distortion", "answer": "D"}
{"id": "52e8d764-43d7-4018-98db-805d6dc34fa3", "image_1": "Perception/single/52e8d764-43d7-4018-98db-805d6dc34fa3_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.color distortion\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "c7dd0047-d80b-468c-bd35-78394290df06", "image_1": "Perception/single/c7dd0047-d80b-468c-bd35-78394290df06_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.color distortion", "answer": "D"}
{"id": "3daa7d9d-4cef-40ec-9d4e-2130ce74a1ad", "image_1": "Perception/single/3daa7d9d-4cef-40ec-9d4e-2130ce74a1ad_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.noise\nC.color distortion\nD.cloud", "answer": "C"}
{"id": "413e94c4-a46c-481a-ad14-15283782afbb", "image_1": "Perception/single/413e94c4-a46c-481a-ad14-15283782afbb_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.dead pixel\nC.image compression\nD.color distortion", "answer": "D"}
{"id": "080e60e6-5a0d-44b0-9d37-ba487ba6f5bc", "image_1": "Perception/single/080e60e6-5a0d-44b0-9d37-ba487ba6f5bc_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.No distortion\nB.haze\nC.color distortion\nD.image compression", "answer": "C"}
{"id": "cf90eea0-e42c-47f9-b0e6-692b12444606", "image_1": "Perception/single/cf90eea0-e42c-47f9-b0e6-692b12444606_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.color distortion\nC.cloud\nD.blur", "answer": "B"}
{"id": "f358c749-87ea-485c-bd6a-3c5f5d5274e9", "image_1": "Perception/single/f358c749-87ea-485c-bd6a-3c5f5d5274e9_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.color distortion\nC.image compression\nD.blur", "answer": "B"}
{"id": "bcaf3e01-1e08-4bc3-99b5-29b511e26472", "image_1": "Perception/single/bcaf3e01-1e08-4bc3-99b5-29b511e26472_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.color distortion\nB.image stretching\nC.No distortion\nD.dead pixel", "answer": "A"}
{"id": "bc1e453f-eaa4-4490-b23e-683f108d96f3", "image_1": "Perception/single/bc1e453f-eaa4-4490-b23e-683f108d96f3_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.color distortion\nC.blur\nD.image compression", "answer": "B"}
{"id": "7222ae8e-92d6-41d5-a678-9984aed2eaa5", "image_1": "Perception/single/7222ae8e-92d6-41d5-a678-9984aed2eaa5_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image stretching\nC.color distortion\nD.dead pixel", "answer": "C"}
{"id": "df51bc3f-7562-4684-9446-53d8b9ec34a8", "image_1": "Perception/single/df51bc3f-7562-4684-9446-53d8b9ec34a8_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.cloud\nC.missing tiles\nD.dead pixel", "answer": "A"}
{"id": "6f649999-6cbb-4e13-affd-eb9fa6972af2", "image_1": "Perception/single/6f649999-6cbb-4e13-affd-eb9fa6972af2_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.image compression\nC.cloud\nD.color distortion", "answer": "D"}
{"id": "f6fa26d9-49c6-4152-b004-b66532c9cd1f", "image_1": "Perception/single/f6fa26d9-49c6-4152-b004-b66532c9cd1f_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.color distortion\nC.haze\nD.missing tiles", "answer": "B"}
{"id": "fc0811bb-ee1c-4da9-a1c6-0a8894fc7743", "image_1": "Perception/single/fc0811bb-ee1c-4da9-a1c6-0a8894fc7743_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.color distortion\nC.dead pixel\nD.haze", "answer": "B"}
{"id": "29b98e83-78e2-4796-acea-3f24ecad5591", "image_1": "Perception/single/29b98e83-78e2-4796-acea-3f24ecad5591_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image compression\nC.noise\nD.color distortion", "answer": "D"}
{"id": "89fae175-4a17-4874-a808-d42f28ad1ada", "image_1": "Perception/single/89fae175-4a17-4874-a808-d42f28ad1ada_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.No distortion\nC.haze\nD.cloud", "answer": "B"}
{"id": "f3184834-4091-434f-8321-c101dc6fc57d", "image_1": "Perception/single/f3184834-4091-434f-8321-c101dc6fc57d_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.cloud\nC.blur\nD.No distortion", "answer": "D"}
{"id": "28f390f2-ceac-4b6c-8535-f07100f8f4db", "image_1": "Perception/single/28f390f2-ceac-4b6c-8535-f07100f8f4db_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.missing tiles\nC.color distortion\nD.image compression", "answer": "C"}
{"id": "8f1545c8-a1d9-4135-bc4d-abb454d09a6b", "image_1": "Perception/single/8f1545c8-a1d9-4135-bc4d-abb454d09a6b_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.dead pixel\nB.color distortion\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "9ce8f6f7-ad1f-4abe-aa50-bff8641e88d9", "image_1": "Perception/single/9ce8f6f7-ad1f-4abe-aa50-bff8641e88d9_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.color distortion", "answer": "D"}
{"id": "6d39a6d0-c71d-40c8-b058-362897be3bb5", "image_1": "Perception/single/6d39a6d0-c71d-40c8-b058-362897be3bb5_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.No distortion\nB.blur\nC.dead pixel\nD.color distortion", "answer": "D"}
{"id": "c35d1a9e-dff3-4708-bc91-de6f55cf8070", "image_1": "Perception/single/c35d1a9e-dff3-4708-bc91-de6f55cf8070_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.image stretching\nC.dead pixel\nD.color distortion", "answer": "A"}
{"id": "ae4acae8-fb29-47de-bbc4-75d00dd2829e", "image_1": "Perception/single/ae4acae8-fb29-47de-bbc4-75d00dd2829e_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.color distortion\nB.image compression\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "32992d59-9e3c-48a2-8796-69e1c122f25e", "image_1": "Perception/single/32992d59-9e3c-48a2-8796-69e1c122f25e_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.color distortion\nB.blur\nC.No distortion\nD.missing tiles", "answer": "A"}
{"id": "9ea4d46b-e2c2-47ef-9195-cb3d4a085350", "image_1": "Perception/single/9ea4d46b-e2c2-47ef-9195-cb3d4a085350_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.image stretching\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "f71c43a2-effa-4cfc-859b-8dd3c5f19f9d", "image_1": "Perception/single/f71c43a2-effa-4cfc-859b-8dd3c5f19f9d_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.noise\nD.No distortion", "answer": "D"}
{"id": "0011e281-c29e-4d43-8832-99c700a6213c", "image_1": "Perception/single/0011e281-c29e-4d43-8832-99c700a6213c_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.color distortion\nB.noise\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "957c7f97-6bda-442f-b396-3794abb31e54", "image_1": "Perception/single/957c7f97-6bda-442f-b396-3794abb31e54_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.noise\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "1306098f-50f9-4ae4-8cd2-ebb9a0cf17c2", "image_1": "Perception/single/1306098f-50f9-4ae4-8cd2-ebb9a0cf17c2_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.cloud\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "e69912c6-9460-4963-ba29-aee5eb8b3fd3", "image_1": "Perception/single/e69912c6-9460-4963-ba29-aee5eb8b3fd3_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.No distortion\nC.color distortion\nD.noise", "answer": "B"}
{"id": "5e827cee-5848-473c-88a3-220435e9ea0c", "image_1": "Perception/single/5e827cee-5848-473c-88a3-220435e9ea0c_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.missing tiles\nB.noise\nC.color distortion\nD.image compression", "answer": "C"}
{"id": "e759f0c6-59c7-4551-82b5-ff1667a99a63", "image_1": "Perception/single/e759f0c6-59c7-4551-82b5-ff1667a99a63_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.color distortion\nB.dead pixel\nC.image stretching\nD.haze", "answer": "A"}
{"id": "3fefbc65-db33-4d55-a71a-351ede07bd52", "image_1": "Perception/single/3fefbc65-db33-4d55-a71a-351ede07bd52_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.haze\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "0afc6b2e-9026-45b6-9351-bd4f40a2903d", "image_1": "Perception/single/0afc6b2e-9026-45b6-9351-bd4f40a2903d_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.image stretching\nC.blur\nD.color distortion", "answer": "D"}
{"id": "05349260-9647-4f27-b564-68a4cf88c42c", "image_1": "Perception/single/05349260-9647-4f27-b564-68a4cf88c42c_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.color distortion\nB.dead pixel\nC.haze\nD.blur", "answer": "A"}
{"id": "af837f01-55a6-447d-8675-e59c9dafc005", "image_1": "Perception/single/af837f01-55a6-447d-8675-e59c9dafc005_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.noise\nC.blur\nD.color distortion", "answer": "D"}
{"id": "bae71be4-524a-4ac9-8a59-02db16ecbcc4", "image_1": "Perception/single/bae71be4-524a-4ac9-8a59-02db16ecbcc4_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.color distortion\nD.missing tiles", "answer": "C"}
{"id": "586bbb53-2c65-4bb6-9cb1-32aada238ca5", "image_1": "Perception/single/586bbb53-2c65-4bb6-9cb1-32aada238ca5_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.color distortion\nB.haze\nC.cloud\nD.noise", "answer": "A"}
{"id": "21e0bc3f-7995-49c6-ab52-e4b9d8c6dfc1", "image_1": "Perception/single/21e0bc3f-7995-49c6-ab52-e4b9d8c6dfc1_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.missing tiles\nC.No distortion\nD.haze", "answer": "C"}
{"id": "87a6dd0a-907a-440f-8d13-0caf88c02adb", "image_1": "Perception/single/87a6dd0a-907a-440f-8d13-0caf88c02adb_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.haze\nC.color distortion\nD.missing tiles", "answer": "C"}
{"id": "def64088-1aef-4b96-af02-091af2d15701", "image_1": "Perception/single/def64088-1aef-4b96-af02-091af2d15701_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.cloud\nC.missing tiles\nD.color distortion", "answer": "D"}
{"id": "ad119ce4-f272-42d0-b856-732bc8f7f278", "image_1": "Perception/single/ad119ce4-f272-42d0-b856-732bc8f7f278_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.cloud\nC.color distortion\nD.noise", "answer": "C"}
{"id": "132c2868-c012-4a53-a3ab-e0f95be403fd", "image_1": "Perception/single/132c2868-c012-4a53-a3ab-e0f95be403fd_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.noise\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "90f1cffd-a30d-4bca-b581-9ecb7d274326", "image_1": "Perception/single/90f1cffd-a30d-4bca-b581-9ecb7d274326_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.noise\nC.image compression\nD.color distortion", "answer": "D"}
{"id": "d2e32a24-eb00-47a7-b238-4b55f26fccc8", "image_1": "Perception/single/d2e32a24-eb00-47a7-b238-4b55f26fccc8_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.color distortion\nB.dead pixel\nC.haze\nD.noise", "answer": "A"}
{"id": "1711cfc3-61e3-49c2-9467-c26af744bcd6", "image_1": "Perception/single/1711cfc3-61e3-49c2-9467-c26af744bcd6_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.color distortion\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "37eb597d-143b-442b-970c-0a7fc62fd09c", "image_1": "Perception/single/37eb597d-143b-442b-970c-0a7fc62fd09c_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.missing tiles\nC.dead pixel\nD.color distortion", "answer": "D"}
{"id": "50a1da64-c2a5-4bcc-8141-1ed960bb55dc", "image_1": "Perception/single/50a1da64-c2a5-4bcc-8141-1ed960bb55dc_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.image compression\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "531cb13b-61e8-4ee6-88f5-917968da67e5", "image_1": "Perception/single/531cb13b-61e8-4ee6-88f5-917968da67e5_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.color distortion\nB.cloud\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "70485732-6e29-4206-9ec9-b2fc81038fee", "image_1": "Perception/single/70485732-6e29-4206-9ec9-b2fc81038fee_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.image compression\nC.blur\nD.color distortion", "answer": "D"}
{"id": "8ec841aa-cc32-4ba4-943a-27a2d2991c06", "image_1": "Perception/single/8ec841aa-cc32-4ba4-943a-27a2d2991c06_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.image stretching\nC.color distortion\nD.image compression", "answer": "C"}
{"id": "a8a2ad95-9f76-4af1-af2c-c083afe4f05e", "image_1": "Perception/single/a8a2ad95-9f76-4af1-af2c-c083afe4f05e_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.cloud\nC.haze\nD.color distortion", "answer": "D"}
{"id": "e971ed09-4822-4ae2-adb1-7b48df42f8d2", "image_1": "Perception/single/e971ed09-4822-4ae2-adb1-7b48df42f8d2_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.No distortion\nC.blur\nD.color distortion", "answer": "D"}
{"id": "19c2bbb2-c642-4db4-8296-003fe49ed50e", "image_1": "Perception/single/19c2bbb2-c642-4db4-8296-003fe49ed50e_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.No distortion\nB.color distortion\nC.image compression\nD.haze", "answer": "B"}
{"id": "5d7403e0-2d2a-49a2-9006-39d3fd2308b7", "image_1": "Perception/single/5d7403e0-2d2a-49a2-9006-39d3fd2308b7_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.color distortion\nC.cloud\nD.blur", "answer": "B"}
{"id": "f5837694-27f6-419c-9c2d-ce7214fa5e6e", "image_1": "Perception/single/f5837694-27f6-419c-9c2d-ce7214fa5e6e_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.cloud\nC.color distortion\nD.noise", "answer": "C"}
{"id": "cece6a10-ee6a-4cec-8ebf-75e833b9b0a3", "image_1": "Perception/single/cece6a10-ee6a-4cec-8ebf-75e833b9b0a3_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.haze\nC.noise\nD.image compression", "answer": "A"}
{"id": "bf26e7d7-4c69-441c-bfa3-85160d419656", "image_1": "Perception/single/bf26e7d7-4c69-441c-bfa3-85160d419656_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.color distortion\nB.noise\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "68339322-e248-46e0-b75d-31b2137dc1bf", "image_1": "Perception/single/68339322-e248-46e0-b75d-31b2137dc1bf_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.missing tiles\nC.color distortion\nD.noise", "answer": "C"}
{"id": "ba77bcdb-0975-4841-b0fc-21626fb781a7", "image_1": "Perception/single/ba77bcdb-0975-4841-b0fc-21626fb781a7_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.color distortion\nC.dead pixel\nD.No distortion", "answer": "B"}
{"id": "26dc94cd-2800-47bf-ac89-6ac79f838eff", "image_1": "Perception/single/26dc94cd-2800-47bf-ac89-6ac79f838eff_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "A"}
{"id": "390c4888-7637-4e51-b4b2-08fd7d956f05", "image_1": "Perception/single/390c4888-7637-4e51-b4b2-08fd7d956f05_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.haze\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "ff71317f-b913-455c-bee6-d1f37a459127", "image_1": "Perception/single/ff71317f-b913-455c-bee6-d1f37a459127_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image stretching\nC.noise\nD.dead pixel", "answer": "A"}
{"id": "11086bf8-ca12-4fd3-81cd-fb87815390d5", "image_1": "Perception/single/11086bf8-ca12-4fd3-81cd-fb87815390d5_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.color distortion\nD.image compression", "answer": "C"}
{"id": "6e0820de-717c-4553-83a4-9643e068b3a5", "image_1": "Perception/single/6e0820de-717c-4553-83a4-9643e068b3a5_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.color distortion\nB.dead pixel\nC.No distortion\nD.cloud", "answer": "A"}
{"id": "1fef0cc4-2d05-4b3b-88aa-2a6e4e80554e", "image_1": "Perception/single/1fef0cc4-2d05-4b3b-88aa-2a6e4e80554e_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.missing tiles\nC.color distortion\nD.No distortion", "answer": "C"}
{"id": "ee705699-fcec-4fdd-aebf-c3495eea9c7a", "image_1": "Perception/single/ee705699-fcec-4fdd-aebf-c3495eea9c7a_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.blur\nC.No distortion\nD.noise", "answer": "C"}
{"id": "54c06215-ea54-457c-9836-3ec53b7826e7", "image_1": "Perception/single/54c06215-ea54-457c-9836-3ec53b7826e7_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.No distortion\nC.color distortion\nD.image compression", "answer": "C"}
{"id": "339c3c32-4c27-41cc-93e9-c6f1b065e354", "image_1": "Perception/single/339c3c32-4c27-41cc-93e9-c6f1b065e354_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image compression\nC.haze\nD.No distortion", "answer": "D"}
{"id": "1f66a52d-5609-4deb-86a7-fd1e20e2b022", "image_1": "Perception/single/1f66a52d-5609-4deb-86a7-fd1e20e2b022_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.image compression\nC.color distortion\nD.cloud", "answer": "C"}
{"id": "265d93dd-0bfc-4f50-bdfd-72ed19c4c384", "image_1": "Perception/single/265d93dd-0bfc-4f50-bdfd-72ed19c4c384_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.color distortion\nB.missing tiles\nC.image compression\nD.cloud", "answer": "A"}
{"id": "f8db55a4-76c3-405b-ac60-d16bfdb87a8d", "image_1": "Perception/single/f8db55a4-76c3-405b-ac60-d16bfdb87a8d_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.image compression\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "c66aded7-44da-40f2-8020-e1837971c27b", "image_1": "Perception/single/c66aded7-44da-40f2-8020-e1837971c27b_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.noise\nB.cloud\nC.No distortion\nD.color distortion", "answer": "D"}
{"id": "de7806a4-810e-4daf-bfc7-f102fbe7349d", "image_1": "Perception/single/de7806a4-810e-4daf-bfc7-f102fbe7349d_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.color distortion\nB.noise\nC.No distortion\nD.blur", "answer": "A"}
{"id": "729ed7f5-b21f-46b2-8601-2543e3d06cd8", "image_1": "Perception/single/729ed7f5-b21f-46b2-8601-2543e3d06cd8_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.color distortion\nC.cloud\nD.blur", "answer": "B"}
{"id": "6418aab1-dbfc-4f0b-be71-7943d06277f2", "image_1": "Perception/single/6418aab1-dbfc-4f0b-be71-7943d06277f2_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.color distortion\nB.blur\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "28a05d5c-8650-49ea-9033-d7bde58dcac9", "image_1": "Perception/single/28a05d5c-8650-49ea-9033-d7bde58dcac9_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.color distortion\nC.blur\nD.image stretching", "answer": "B"}
{"id": "635751cb-af5e-4873-9342-c887194da1e5", "image_1": "Perception/single/635751cb-af5e-4873-9342-c887194da1e5_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.color distortion\nB.dead pixel\nC.image stretching\nD.blur", "answer": "A"}
{"id": "e14f0dc7-3a08-461b-ba31-345b4ef3a368", "image_1": "Perception/single/e14f0dc7-3a08-461b-ba31-345b4ef3a368_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.cloud\nD.color distortion", "answer": "D"}
{"id": "df6f932a-e26e-4311-a2c0-c7fb01e32c8c", "image_1": "Perception/single/df6f932a-e26e-4311-a2c0-c7fb01e32c8c_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.color distortion\nD.dead pixel", "answer": "C"}
{"id": "481ddffb-ce64-4e64-ac74-7bb09873b99a", "image_1": "Perception/single/481ddffb-ce64-4e64-ac74-7bb09873b99a_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.missing tiles\nB.image stretching\nC.color distortion\nD.haze", "answer": "C"}
{"id": "a25982a6-6d14-4968-8bed-eda858eaf90e", "image_1": "Perception/single/a25982a6-6d14-4968-8bed-eda858eaf90e_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.color distortion\nB.blur\nC.cloud\nD.noise", "answer": "A"}
{"id": "49498b52-12d7-4a3f-9f5f-f7ad9eeddfce", "image_1": "Perception/single/49498b52-12d7-4a3f-9f5f-f7ad9eeddfce_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.haze\nC.blur\nD.image compression", "answer": "A"}
{"id": "1932ece6-b93c-40f2-bcb6-54acffda8716", "image_1": "Perception/single/1932ece6-b93c-40f2-bcb6-54acffda8716_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.noise\nC.image stretching\nD.No distortion", "answer": "A"}
{"id": "bf3b3bec-d3ae-4fae-bc6e-d93b766737cb", "image_1": "Perception/single/bf3b3bec-d3ae-4fae-bc6e-d93b766737cb_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.noise\nB.blur\nC.color distortion\nD.No distortion", "answer": "C"}
{"id": "63490583-20b4-422b-bb2f-0fc8a6d6351e", "image_1": "Perception/single/63490583-20b4-422b-bb2f-0fc8a6d6351e_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.missing tiles\nB.color distortion\nC.image compression\nD.haze", "answer": "B"}
{"id": "a7652de2-481f-48b0-b524-e191f30d32d9", "image_1": "Perception/single/a7652de2-481f-48b0-b524-e191f30d32d9_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.noise\nC.color distortion\nD.blur", "answer": "C"}
{"id": "07d7ea05-40a8-4b31-95b6-bc2c2becf5d8", "image_1": "Perception/single/07d7ea05-40a8-4b31-95b6-bc2c2becf5d8_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.color distortion\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "36896cca-1a26-42b3-b095-572ac4a6ed59", "image_1": "Perception/single/36896cca-1a26-42b3-b095-572ac4a6ed59_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.No distortion\nC.blur\nD.color distortion", "answer": "D"}
{"id": "2ff748f3-1afa-4142-b8d9-d934b73ff77b", "image_1": "Perception/single/2ff748f3-1afa-4142-b8d9-d934b73ff77b_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.noise\nC.color distortion\nD.haze", "answer": "C"}
{"id": "7c5ca30e-7b87-4ee8-b91a-620049f8184d", "image_1": "Perception/single/7c5ca30e-7b87-4ee8-b91a-620049f8184d_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.color distortion\nB.blur\nC.noise\nD.No distortion", "answer": "A"}
{"id": "4aecb2ab-983e-411d-bb1d-c8c1ffff8ad1", "image_1": "Perception/single/4aecb2ab-983e-411d-bb1d-c8c1ffff8ad1_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.cloud\nB.haze\nC.color distortion\nD.No distortion", "answer": "C"}
{"id": "3f5dda95-762d-4e23-9794-d44640ad917d", "image_1": "Perception/single/3f5dda95-762d-4e23-9794-d44640ad917d_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "ffe64fc1-9133-4730-a01e-1ebd56d533a1", "image_1": "Perception/single/ffe64fc1-9133-4730-a01e-1ebd56d533a1_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.image stretching\nD.color distortion", "answer": "D"}
{"id": "f110c1e8-a03b-4187-8921-37cbe2c1c035", "image_1": "Perception/single/f110c1e8-a03b-4187-8921-37cbe2c1c035_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "d4b06ef0-12e2-4252-b719-08904091be14", "image_1": "Perception/single/d4b06ef0-12e2-4252-b719-08904091be14_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.haze\nC.color distortion\nD.noise", "answer": "C"}
{"id": "a7795228-bcc2-45c8-8a8e-8c132ed9068f", "image_1": "Perception/single/a7795228-bcc2-45c8-8a8e-8c132ed9068f_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.color distortion\nC.noise\nD.dead pixel", "answer": "B"}
{"id": "3dd1c397-a9ec-46e5-9b47-988aee653f60", "image_1": "Perception/single/3dd1c397-a9ec-46e5-9b47-988aee653f60_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "4304e90c-2f17-4cca-8e82-0cd831c607c6", "image_1": "Perception/single/4304e90c-2f17-4cca-8e82-0cd831c607c6_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.dead pixel\nC.color distortion\nD.blur", "answer": "C"}
{"id": "824582e8-4ec4-41b4-84dd-47ef10179245", "image_1": "Perception/single/824582e8-4ec4-41b4-84dd-47ef10179245_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.blur\nC.image stretching\nD.color distortion", "answer": "D"}
{"id": "b2cb744b-9e51-4b9c-9aa3-94d71b75964c", "image_1": "Perception/single/b2cb744b-9e51-4b9c-9aa3-94d71b75964c_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.No distortion\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "7d7381aa-625e-43c6-9498-5e495e40125e", "image_1": "Perception/single/7d7381aa-625e-43c6-9498-5e495e40125e_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "3e917740-270a-4a65-9e38-87790b3f7e04", "image_1": "Perception/single/3e917740-270a-4a65-9e38-87790b3f7e04_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.noise\nC.color distortion\nD.cloud", "answer": "C"}
{"id": "5a1b2f4c-ed47-4195-9f4d-45f36643e65d", "image_1": "Perception/single/5a1b2f4c-ed47-4195-9f4d-45f36643e65d_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.cloud\nB.dead pixel\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "9ce6c5d2-2afe-41bf-bf2b-85b3d50a26fc", "image_1": "Perception/single/9ce6c5d2-2afe-41bf-bf2b-85b3d50a26fc_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.No distortion\nB.haze\nC.color distortion\nD.image compression", "answer": "C"}
{"id": "d7eceeb5-29fe-48fc-bc7f-4ab98ccf3837", "image_1": "Perception/single/d7eceeb5-29fe-48fc-bc7f-4ab98ccf3837_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "ef05953c-eeea-41ed-9987-8ac2b8257616", "image_1": "Perception/single/ef05953c-eeea-41ed-9987-8ac2b8257616_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.No distortion\nC.image compression\nD.blur", "answer": "B"}
{"id": "25acc8a9-2656-43d8-a72a-1e794a91dc97", "image_1": "Perception/single/25acc8a9-2656-43d8-a72a-1e794a91dc97_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.color distortion\nB.image stretching\nC.No distortion\nD.dead pixel", "answer": "A"}
{"id": "a277b1ee-70f6-48b8-a124-07e4cff5d2bb", "image_1": "Perception/single/a277b1ee-70f6-48b8-a124-07e4cff5d2bb_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.color distortion\nC.blur\nD.image compression", "answer": "B"}
{"id": "1b1df052-9db6-45f5-87d2-9012480994d7", "image_1": "Perception/single/1b1df052-9db6-45f5-87d2-9012480994d7_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image stretching\nC.color distortion\nD.dead pixel", "answer": "C"}
{"id": "33a774b0-3efa-4b95-adde-4febe662f98b", "image_1": "Perception/single/33a774b0-3efa-4b95-adde-4febe662f98b_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.cloud\nC.missing tiles\nD.dead pixel", "answer": "A"}
{"id": "a790078b-9c71-47a9-b310-283bf190871b", "image_1": "Perception/single/a790078b-9c71-47a9-b310-283bf190871b_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "da5bd411-dc0e-4a59-9497-400aea534ccc", "image_1": "Perception/single/da5bd411-dc0e-4a59-9497-400aea534ccc_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.No distortion\nC.haze\nD.missing tiles", "answer": "B"}
{"id": "4b529ba2-c5bc-42ed-9499-046c945288d9", "image_1": "Perception/single/4b529ba2-c5bc-42ed-9499-046c945288d9_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.color distortion\nC.dead pixel\nD.haze", "answer": "B"}
{"id": "0463ceff-9242-46c6-a060-93b9a9120dcb", "image_1": "Perception/single/0463ceff-9242-46c6-a060-93b9a9120dcb_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image compression\nC.noise\nD.color distortion", "answer": "D"}
{"id": "c053f4b7-4be5-4db9-88d0-b318b159a5b9", "image_1": "Perception/single/c053f4b7-4be5-4db9-88d0-b318b159a5b9_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.color distortion\nC.haze\nD.No distortion", "answer": "B"}
{"id": "c37695ca-c45b-46e4-8782-9ce039b21a14", "image_1": "Perception/single/c37695ca-c45b-46e4-8782-9ce039b21a14_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.cloud\nC.blur\nD.No distortion", "answer": "D"}
{"id": "01774506-025a-4cf0-acbe-0375c68d7f0b", "image_1": "Perception/single/01774506-025a-4cf0-acbe-0375c68d7f0b_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.missing tiles\nC.color distortion\nD.image compression", "answer": "C"}
{"id": "a019613d-7078-452f-a305-b8784534a6d1", "image_1": "Perception/single/a019613d-7078-452f-a305-b8784534a6d1_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.dead pixel\nB.No distortion\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "e90c3ba1-d2f7-4f43-823a-d6c1608de123", "image_1": "Perception/single/e90c3ba1-d2f7-4f43-823a-d6c1608de123_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "563f7516-ec1d-43af-a914-f45f030f3906", "image_1": "Perception/single/563f7516-ec1d-43af-a914-f45f030f3906_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.No distortion\nB.blur\nC.dead pixel\nD.color distortion", "answer": "D"}
{"id": "d62876af-1c50-4abc-8fef-a7668c673207", "image_1": "Perception/single/d62876af-1c50-4abc-8fef-a7668c673207_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.color distortion\nB.image stretching\nC.dead pixel\nD.noise", "answer": "A"}
{"id": "91a9318d-7a2e-46dd-aa2c-b52c88e980ff", "image_1": "Perception/single/91a9318d-7a2e-46dd-aa2c-b52c88e980ff_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.color distortion\nB.image compression\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "37ab0dee-3bb7-44a0-9e05-e47a38d16933", "image_1": "Perception/single/37ab0dee-3bb7-44a0-9e05-e47a38d16933_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "5bd0137a-5ca1-4fcb-9cc8-a6a74f4ecb8b", "image_1": "Perception/single/5bd0137a-5ca1-4fcb-9cc8-a6a74f4ecb8b_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.image stretching\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "bee633ec-f7b2-4d71-bd87-214addcda181", "image_1": "Perception/single/bee633ec-f7b2-4d71-bd87-214addcda181_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.cloud\nD.color distortion", "answer": "D"}
{"id": "7cde845b-a66c-467d-84ba-e9ff436b5c97", "image_1": "Perception/single/7cde845b-a66c-467d-84ba-e9ff436b5c97_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.color distortion\nB.noise\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "36f0e221-b001-482c-b6e8-9dd84900c537", "image_1": "Perception/single/36f0e221-b001-482c-b6e8-9dd84900c537_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.cloud\nC.image stretching\nD.color distortion", "answer": "D"}
{"id": "48d27168-7c23-4b02-906f-b1f77f87ae44", "image_1": "Perception/single/48d27168-7c23-4b02-906f-b1f77f87ae44_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.color distortion\nB.No distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "dd0a36db-e184-4308-b2d1-883e5f072df4", "image_1": "Perception/single/dd0a36db-e184-4308-b2d1-883e5f072df4_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.color distortion\nC.noise\nD.cloud", "answer": "B"}
{"id": "cb022ba7-d471-4557-a626-659339c89037", "image_1": "Perception/single/cb022ba7-d471-4557-a626-659339c89037_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.missing tiles\nB.noise\nC.color distortion\nD.image compression", "answer": "C"}
{"id": "50bf3926-72b1-4618-9efe-b72e49ce7f09", "image_1": "Perception/single/50bf3926-72b1-4618-9efe-b72e49ce7f09_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.dead pixel\nC.image stretching\nD.haze", "answer": "A"}
{"id": "50ed43b3-cc4e-4b7a-9e26-61f41febd5ae", "image_1": "Perception/single/50ed43b3-cc4e-4b7a-9e26-61f41febd5ae_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.haze\nC.color distortion\nD.No distortion", "answer": "C"}
{"id": "a446392c-57e3-4fc7-b44d-dfb8283e0e34", "image_1": "Perception/single/a446392c-57e3-4fc7-b44d-dfb8283e0e34_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.image stretching\nC.blur\nD.color distortion", "answer": "D"}
{"id": "d1979f1d-57eb-4e5a-b427-3623413fac60", "image_1": "Perception/single/d1979f1d-57eb-4e5a-b427-3623413fac60_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.color distortion\nB.dead pixel\nC.haze\nD.blur", "answer": "A"}
{"id": "7a403edb-9854-4357-83a3-0c74aa0df2e2", "image_1": "Perception/single/7a403edb-9854-4357-83a3-0c74aa0df2e2_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.color distortion\nC.blur\nD.No distortion", "answer": "D"}
{"id": "f93a7c73-8615-46c1-b9b0-4d7c55dc8a2c", "image_1": "Perception/single/f93a7c73-8615-46c1-b9b0-4d7c55dc8a2c_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.color distortion\nD.missing tiles", "answer": "C"}
{"id": "420b7bca-39c1-4973-9217-ffeccc83c69b", "image_1": "Perception/single/420b7bca-39c1-4973-9217-ffeccc83c69b_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.color distortion\nB.haze\nC.cloud\nD.noise", "answer": "A"}
{"id": "819673d8-92c8-4ce5-b50a-4e71dccedac8", "image_1": "Perception/single/819673d8-92c8-4ce5-b50a-4e71dccedac8_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.missing tiles\nC.No distortion\nD.haze", "answer": "C"}
{"id": "3c9ee51f-070d-4aa8-ac86-4015fab6623f", "image_1": "Perception/single/3c9ee51f-070d-4aa8-ac86-4015fab6623f_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.haze\nC.color distortion\nD.missing tiles", "answer": "C"}
{"id": "89e33201-a710-4e42-9f6a-cfcbf86fa6c8", "image_1": "Perception/single/89e33201-a710-4e42-9f6a-cfcbf86fa6c8_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.cloud\nC.missing tiles\nD.color distortion", "answer": "D"}
{"id": "2327d6ab-9528-43a5-a99f-f84fb6426ec3", "image_1": "Perception/single/2327d6ab-9528-43a5-a99f-f84fb6426ec3_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.cloud\nC.color distortion\nD.noise", "answer": "C"}
{"id": "5269856e-a463-4964-9530-0b6eaa4fb045", "image_1": "Perception/single/5269856e-a463-4964-9530-0b6eaa4fb045_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.cloud\nC.dead pixel\nD.color distortion", "answer": "D"}
{"id": "7254be94-8638-4aa8-ac09-cbfff140cd8b", "image_1": "Perception/single/7254be94-8638-4aa8-ac09-cbfff140cd8b_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.noise\nC.image compression\nD.color distortion", "answer": "D"}
{"id": "5e7e0e77-4e6c-47ec-851f-1ab068b602bc", "image_1": "Perception/single/5e7e0e77-4e6c-47ec-851f-1ab068b602bc_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.color distortion\nB.dead pixel\nC.haze\nD.noise", "answer": "A"}
{"id": "420506d2-a3fa-4cd2-885a-8420fc7900fa", "image_1": "Perception/single/420506d2-a3fa-4cd2-885a-8420fc7900fa_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.color distortion\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "4b3b09f2-3424-44fd-bf62-cdfc8c1d86f8", "image_1": "Perception/single/4b3b09f2-3424-44fd-bf62-cdfc8c1d86f8_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.missing tiles\nC.dead pixel\nD.color distortion", "answer": "D"}
{"id": "2e5a2eb1-46f3-4924-91fc-59f2eff5114d", "image_1": "Perception/single/2e5a2eb1-46f3-4924-91fc-59f2eff5114d_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.color distortion\nB.image compression\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "0dea9aff-e94f-4ae0-b993-c4e2a7b61441", "image_1": "Perception/single/0dea9aff-e94f-4ae0-b993-c4e2a7b61441_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.color distortion\nB.cloud\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "418d079b-da6d-4b5e-8674-89227bf8b0e0", "image_1": "Perception/single/418d079b-da6d-4b5e-8674-89227bf8b0e0_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.image compression\nC.blur\nD.color distortion", "answer": "D"}
{"id": "390558ac-b5cc-4f69-b42b-8a00c87ed843", "image_1": "Perception/single/390558ac-b5cc-4f69-b42b-8a00c87ed843_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.image stretching\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "bd402463-1b42-4ee1-aef4-e6637e19df9e", "image_1": "Perception/single/bd402463-1b42-4ee1-aef4-e6637e19df9e_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.cloud\nC.haze\nD.color distortion", "answer": "D"}
{"id": "b661525c-f611-4419-a7cf-52250d289cae", "image_1": "Perception/single/b661525c-f611-4419-a7cf-52250d289cae_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.No distortion\nC.blur\nD.color distortion", "answer": "D"}
{"id": "58d0ae2c-1839-4cf4-9e3d-d7a7774f7a98", "image_1": "Perception/single/58d0ae2c-1839-4cf4-9e3d-d7a7774f7a98_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.No distortion\nB.color distortion\nC.image compression\nD.haze", "answer": "B"}
{"id": "578634b8-8e3e-4fa1-aca2-ad8a8d4e06f4", "image_1": "Perception/single/578634b8-8e3e-4fa1-aca2-ad8a8d4e06f4_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.color distortion\nC.cloud\nD.blur", "answer": "B"}
{"id": "d2e9441d-2d41-4044-8221-611546fed665", "image_1": "Perception/single/d2e9441d-2d41-4044-8221-611546fed665_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.cloud\nC.color distortion\nD.noise", "answer": "C"}
{"id": "3e776b07-dba5-474c-9332-f48fc19c8351", "image_1": "Perception/single/3e776b07-dba5-474c-9332-f48fc19c8351_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.No distortion\nB.haze\nC.color distortion\nD.image compression", "answer": "A"}
{"id": "cb6330d9-821c-4a83-a43c-aa3bd8317d77", "image_1": "Perception/single/cb6330d9-821c-4a83-a43c-aa3bd8317d77_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.color distortion\nB.noise\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "a73034c8-39ad-4309-b8a9-ef48931e85e7", "image_1": "Perception/single/a73034c8-39ad-4309-b8a9-ef48931e85e7_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.missing tiles\nC.color distortion\nD.noise", "answer": "C"}
{"id": "07af6028-1681-47cc-a208-1de041f43925", "image_1": "Perception/single/07af6028-1681-47cc-a208-1de041f43925_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.color distortion\nC.dead pixel\nD.No distortion", "answer": "B"}
{"id": "f4d1f992-27ce-4006-95d8-24a4826b276a", "image_1": "Perception/single/f4d1f992-27ce-4006-95d8-24a4826b276a_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "A"}
{"id": "edd6368f-9a75-48e9-959a-f8299188f76d", "image_1": "Perception/single/edd6368f-9a75-48e9-959a-f8299188f76d_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.haze\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "de4340b9-b787-445a-8a84-4530e0f13e20", "image_1": "Perception/single/de4340b9-b787-445a-8a84-4530e0f13e20_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image stretching\nC.noise\nD.dead pixel", "answer": "A"}
{"id": "7bbde657-7b4f-4b9b-9255-9ef69d5f447b", "image_1": "Perception/single/7bbde657-7b4f-4b9b-9255-9ef69d5f447b_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "244082bd-9bbf-4df5-b366-ad6d57f0ca5e", "image_1": "Perception/single/244082bd-9bbf-4df5-b366-ad6d57f0ca5e_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.color distortion\nB.dead pixel\nC.No distortion\nD.cloud", "answer": "A"}
{"id": "9c84f952-c9c3-4fd5-bc59-3b3c828f9673", "image_1": "Perception/single/9c84f952-c9c3-4fd5-bc59-3b3c828f9673_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.missing tiles\nC.color distortion\nD.No distortion", "answer": "C"}
{"id": "96dc0e26-6838-43a8-b0c4-2fa3e13bc658", "image_1": "Perception/single/96dc0e26-6838-43a8-b0c4-2fa3e13bc658_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.blur\nC.color distortion\nD.cloud", "answer": "C"}
{"id": "0c0a6371-28bd-4e7a-94f0-4eb9db5a8cd9", "image_1": "Perception/single/0c0a6371-28bd-4e7a-94f0-4eb9db5a8cd9_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.cloud\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "c6af0808-cbfe-4fce-b5a6-05e0a505c8d4", "image_1": "Perception/single/c6af0808-cbfe-4fce-b5a6-05e0a505c8d4_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.image compression\nC.color distortion\nD.image stretching", "answer": "D"}
{"id": "1f0fd871-a30e-4627-b74c-86ba83343cd7", "image_1": "Perception/single/1f0fd871-a30e-4627-b74c-86ba83343cd7_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.image compression\nC.image stretching\nD.cloud", "answer": "C"}
{"id": "3d4b60cd-77f9-438d-9018-d68859259c6a", "image_1": "Perception/single/3d4b60cd-77f9-438d-9018-d68859259c6a_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.missing tiles\nC.image compression\nD.noise", "answer": "A"}
{"id": "633bd351-a7a5-401b-97f7-d6b065f82b62", "image_1": "Perception/single/633bd351-a7a5-401b-97f7-d6b065f82b62_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.cloud\nB.image compression\nC.dead pixel\nD.image stretching", "answer": "D"}
{"id": "fb29de86-d8c4-402d-ae3c-e619f0049719", "image_1": "Perception/single/fb29de86-d8c4-402d-ae3c-e619f0049719_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.noise\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "7ae7c6db-2841-4a67-9cb0-50a71bb5ef46", "image_1": "Perception/single/7ae7c6db-2841-4a67-9cb0-50a71bb5ef46_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image stretching\nB.noise\nC.No distortion\nD.blur", "answer": "A"}
{"id": "09f8fa38-9bb4-4d8d-98dc-ec8ac4d0fcce", "image_1": "Perception/single/09f8fa38-9bb4-4d8d-98dc-ec8ac4d0fcce_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.image stretching\nC.cloud\nD.blur", "answer": "B"}
{"id": "18bc7434-6434-4b46-b050-1ed2714c4167", "image_1": "Perception/single/18bc7434-6434-4b46-b050-1ed2714c4167_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.blur\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "b37898a8-396c-424e-a5d1-f984c6e01292", "image_1": "Perception/single/b37898a8-396c-424e-a5d1-f984c6e01292_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.image stretching\nC.blur\nD.haze", "answer": "B"}
{"id": "fa7f5594-a9db-4184-934b-278915394831", "image_1": "Perception/single/fa7f5594-a9db-4184-934b-278915394831_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.dead pixel\nC.haze\nD.blur", "answer": "A"}
{"id": "1fe8ed13-8393-41ae-b262-087ccf4a4f93", "image_1": "Perception/single/1fe8ed13-8393-41ae-b262-087ccf4a4f93_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.cloud\nD.image stretching", "answer": "D"}
{"id": "ddfa3775-0f7e-46d0-a403-d2d90fa6930a", "image_1": "Perception/single/ddfa3775-0f7e-46d0-a403-d2d90fa6930a_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.image stretching\nD.dead pixel", "answer": "C"}
{"id": "550c5afe-325f-46ea-b145-19fc29609708", "image_1": "Perception/single/550c5afe-325f-46ea-b145-19fc29609708_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.missing tiles\nB.image stretching\nC.No distortion\nD.haze", "answer": "C"}
{"id": "2f692845-90d1-4f65-b3ea-2c0b9efd3226", "image_1": "Perception/single/2f692845-90d1-4f65-b3ea-2c0b9efd3226_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.blur\nC.cloud\nD.noise", "answer": "A"}
{"id": "53f71d6b-e51b-4e5f-a17d-98ebb1be241e", "image_1": "Perception/single/53f71d6b-e51b-4e5f-a17d-98ebb1be241e_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.color distortion\nC.blur\nD.image compression", "answer": "A"}
{"id": "2b3cbe20-160f-44c7-947b-dfa6cce1c2b6", "image_1": "Perception/single/2b3cbe20-160f-44c7-947b-dfa6cce1c2b6_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.noise\nC.haze\nD.No distortion", "answer": "A"}
{"id": "cc61d2f0-74eb-4dfc-b07f-a88621a13f85", "image_1": "Perception/single/cc61d2f0-74eb-4dfc-b07f-a88621a13f85_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.noise\nB.blur\nC.image stretching\nD.No distortion", "answer": "C"}
{"id": "b6eeb003-3f7a-42b7-8595-8dc8f8680236", "image_1": "Perception/single/b6eeb003-3f7a-42b7-8595-8dc8f8680236_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.missing tiles\nB.image stretching\nC.image compression\nD.color distortion", "answer": "B"}
{"id": "455a045a-33cf-41a2-a8ff-a3e8f055707c", "image_1": "Perception/single/455a045a-33cf-41a2-a8ff-a3e8f055707c_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.noise\nC.image stretching\nD.blur", "answer": "C"}
{"id": "ffdf9646-0564-4eb2-9dae-2535f7a53d54", "image_1": "Perception/single/ffdf9646-0564-4eb2-9dae-2535f7a53d54_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.image stretching\nC.haze\nD.image compression", "answer": "B"}
{"id": "de43d221-728f-4d47-bbec-1bab2fed7706", "image_1": "Perception/single/de43d221-728f-4d47-bbec-1bab2fed7706_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.No distortion\nC.blur\nD.image stretching", "answer": "D"}
{"id": "7ef55117-3703-4761-ba47-e3a1069a0544", "image_1": "Perception/single/7ef55117-3703-4761-ba47-e3a1069a0544_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.noise\nC.image stretching\nD.color distortion", "answer": "C"}
{"id": "bca133e2-afdc-4f14-b85d-5336e778a505", "image_1": "Perception/single/bca133e2-afdc-4f14-b85d-5336e778a505_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.blur\nC.noise\nD.No distortion", "answer": "A"}
{"id": "0e658e9a-334e-479b-96bd-e49294e40dbd", "image_1": "Perception/single/0e658e9a-334e-479b-96bd-e49294e40dbd_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.cloud\nB.color distortion\nC.image stretching\nD.No distortion", "answer": "C"}
{"id": "e42c9ebb-f131-435d-a9b7-1558114ce118", "image_1": "Perception/single/e42c9ebb-f131-435d-a9b7-1558114ce118_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.image stretching\nC.cloud\nD.blur", "answer": "B"}
{"id": "440671ee-24a8-4c77-98e3-9caddf5fae5c", "image_1": "Perception/single/440671ee-24a8-4c77-98e3-9caddf5fae5c_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "2aa4e2ed-0326-41df-be80-1f2aaddf387a", "image_1": "Perception/single/2aa4e2ed-0326-41df-be80-1f2aaddf387a_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "b713bbd9-0456-4d06-b66b-359cc0b57a97", "image_1": "Perception/single/b713bbd9-0456-4d06-b66b-359cc0b57a97_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.haze\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "4cb51c78-9525-4bb6-83f5-218a3f7903a1", "image_1": "Perception/single/4cb51c78-9525-4bb6-83f5-218a3f7903a1_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.No distortion\nC.color distortion\nD.dead pixel", "answer": "B"}
{"id": "7ede48b8-635e-4f0d-9aca-ff64073c88f1", "image_1": "Perception/single/7ede48b8-635e-4f0d-9aca-ff64073c88f1_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.cloud\nC.image stretching\nD.noise", "answer": "C"}
{"id": "53589784-28fd-4cb7-a057-31a834524f52", "image_1": "Perception/single/53589784-28fd-4cb7-a057-31a834524f52_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.color distortion\nB.dead pixel\nC.image stretching\nD.blur", "answer": "C"}
{"id": "a12277bd-4229-488d-b998-4c7ce9286ed8", "image_1": "Perception/single/a12277bd-4229-488d-b998-4c7ce9286ed8_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.blur\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "0f16ccff-f28c-4f86-be21-d8b8f3035db6", "image_1": "Perception/single/0f16ccff-f28c-4f86-be21-d8b8f3035db6_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.image stretching\nC.dead pixel\nD.haze", "answer": "B"}
{"id": "7529b660-8366-473e-ad0b-c21b67817efb", "image_1": "Perception/single/7529b660-8366-473e-ad0b-c21b67817efb_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "ccbf27ab-c534-473a-8819-225a58afcf17", "image_1": "Perception/single/ccbf27ab-c534-473a-8819-225a58afcf17_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.noise\nC.image stretching\nD.cloud", "answer": "C"}
{"id": "fc4b416e-4912-43b1-8fd5-3f94bb611db1", "image_1": "Perception/single/fc4b416e-4912-43b1-8fd5-3f94bb611db1_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.cloud\nB.dead pixel\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "b3019edf-46c7-43df-8cc4-d76d2606fd80", "image_1": "Perception/single/b3019edf-46c7-43df-8cc4-d76d2606fd80_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.No distortion\nB.color distortion\nC.image stretching\nD.image compression", "answer": "C"}
{"id": "9c060607-b90b-4b8c-a2b3-97d9f1f6e58f", "image_1": "Perception/single/9c060607-b90b-4b8c-a2b3-97d9f1f6e58f_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.haze\nB.image stretching\nC.cloud\nD.blur", "answer": "B"}
{"id": "f01e7090-e9d6-4fec-943a-2117c6d3a679", "image_1": "Perception/single/f01e7090-e9d6-4fec-943a-2117c6d3a679_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.image stretching\nC.image compression\nD.blur", "answer": "B"}
{"id": "7399f35a-5cf3-4628-b23a-545227514dfe", "image_1": "Perception/single/7399f35a-5cf3-4628-b23a-545227514dfe_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.image stretching\nB.haze\nC.No distortion\nD.dead pixel", "answer": "A"}
{"id": "edffc8da-266c-4d98-898f-d92d2e286b0f", "image_1": "Perception/single/edffc8da-266c-4d98-898f-d92d2e286b0f_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.image stretching\nC.blur\nD.image compression", "answer": "B"}
{"id": "7b7f78fe-1170-4509-8918-721c22e43124", "image_1": "Perception/single/7b7f78fe-1170-4509-8918-721c22e43124_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.haze\nC.image stretching\nD.dead pixel", "answer": "C"}
{"id": "3b208f37-317b-44b5-9078-028ec8076948", "image_1": "Perception/single/3b208f37-317b-44b5-9078-028ec8076948_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.noise\nC.missing tiles\nD.dead pixel", "answer": "A"}
{"id": "83d9a0ce-1642-480a-b613-ff5bad2c984b", "image_1": "Perception/single/83d9a0ce-1642-480a-b613-ff5bad2c984b_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.image compression\nC.cloud\nD.image stretching", "answer": "D"}
{"id": "203a71cb-c928-45d5-9a51-f3211ddda2e1", "image_1": "Perception/single/203a71cb-c928-45d5-9a51-f3211ddda2e1_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.image stretching\nC.color distortion\nD.missing tiles", "answer": "B"}
{"id": "822777ac-1e6c-4857-9ea7-915eabe9564b", "image_1": "Perception/single/822777ac-1e6c-4857-9ea7-915eabe9564b_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.image stretching\nC.dead pixel\nD.color distortion", "answer": "B"}
{"id": "f401e373-b274-4875-ac78-cc66b42470f2", "image_1": "Perception/single/f401e373-b274-4875-ac78-cc66b42470f2_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image compression\nC.noise\nD.image stretching", "answer": "D"}
{"id": "212a856b-8bbb-4c7a-824a-ddb2faaa1732", "image_1": "Perception/single/212a856b-8bbb-4c7a-824a-ddb2faaa1732_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.image stretching\nC.color distortion\nD.No distortion", "answer": "B"}
{"id": "aae11949-e804-415f-9099-c9c73fab2076", "image_1": "Perception/single/aae11949-e804-415f-9099-c9c73fab2076_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.No distortion\nC.blur\nD.image stretching", "answer": "D"}
{"id": "ba02d853-7aa2-4a20-89b2-ebb72bc60c17", "image_1": "Perception/single/ba02d853-7aa2-4a20-89b2-ebb72bc60c17_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.missing tiles\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "bedc6711-a4dd-4462-b935-d5204e798ef9", "image_1": "Perception/single/bedc6711-a4dd-4462-b935-d5204e798ef9_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.dead pixel\nB.image stretching\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "13d27a03-0941-49a4-8714-6ff45b036719", "image_1": "Perception/single/13d27a03-0941-49a4-8714-6ff45b036719_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "2286fbbf-ea4b-48db-b8bf-0003c73ddcd3", "image_1": "Perception/single/2286fbbf-ea4b-48db-b8bf-0003c73ddcd3_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.cloud\nB.blur\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "5b0822d5-43e2-4edb-a563-c5ffd2051f20", "image_1": "Perception/single/5b0822d5-43e2-4edb-a563-c5ffd2051f20_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.dead pixel\nD.noise", "answer": "A"}
{"id": "8e11b5e6-1166-4f06-9ea5-6017d8517f9e", "image_1": "Perception/single/8e11b5e6-1166-4f06-9ea5-6017d8517f9e_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.image compression\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "e237e48d-eec5-4340-a61a-b770999e10f9", "image_1": "Perception/single/e237e48d-eec5-4340-a61a-b770999e10f9_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "eacafaf8-74cb-4740-a62e-9b6d652b1d3e", "image_1": "Perception/single/eacafaf8-74cb-4740-a62e-9b6d652b1d3e_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.haze\nC.image stretching\nD.No distortion", "answer": "C"}
{"id": "c2534e76-a26e-4b1b-ad91-6d67d9434757", "image_1": "Perception/single/c2534e76-a26e-4b1b-ad91-6d67d9434757_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.dead pixel\nC.cloud\nD.image stretching", "answer": "D"}
{"id": "dba97753-b01b-46a2-ae85-4b2c43bb18fd", "image_1": "Perception/single/dba97753-b01b-46a2-ae85-4b2c43bb18fd_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.color distortion\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "c7173d06-b309-496d-88a0-24f84914b8f9", "image_1": "Perception/single/c7173d06-b309-496d-88a0-24f84914b8f9_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.cloud\nC.haze\nD.image stretching", "answer": "D"}
{"id": "6cd1ecf5-625e-4205-8da1-c152e11631b4", "image_1": "Perception/single/6cd1ecf5-625e-4205-8da1-c152e11631b4_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.cloud\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "b1388498-25be-4eba-8ae4-fb5d0396e58c", "image_1": "Perception/single/b1388498-25be-4eba-8ae4-fb5d0396e58c_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.image stretching\nC.noise\nD.cloud", "answer": "B"}
{"id": "b246f580-ba66-4c95-a161-e7f9cf34984c", "image_1": "Perception/single/b246f580-ba66-4c95-a161-e7f9cf34984c_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.missing tiles\nB.noise\nC.image stretching\nD.image compression", "answer": "C"}
{"id": "d3ec2eea-8891-439c-857a-d33883a9dd4f", "image_1": "Perception/single/d3ec2eea-8891-439c-857a-d33883a9dd4f_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.image stretching\nB.dead pixel\nC.haze\nD.color distortion", "answer": "A"}
{"id": "8e6591d8-8f59-472f-b245-5b9c3c87eb4f", "image_1": "Perception/single/8e6591d8-8f59-472f-b245-5b9c3c87eb4f_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.color distortion\nC.image stretching\nD.No distortion", "answer": "C"}
{"id": "2cdc76d2-8891-417d-81c9-109ddea2969d", "image_1": "Perception/single/2cdc76d2-8891-417d-81c9-109ddea2969d_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.image stretching\nC.blur\nD.No distortion", "answer": "D"}
{"id": "b178c9f5-b08c-44f9-b1b8-db7251bddd2b", "image_1": "Perception/single/b178c9f5-b08c-44f9-b1b8-db7251bddd2b_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.dead pixel\nC.color distortion\nD.blur", "answer": "A"}
{"id": "e132ed27-f596-49a6-8866-a627ef627d2a", "image_1": "Perception/single/e132ed27-f596-49a6-8866-a627ef627d2a_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.noise\nC.blur\nD.image stretching", "answer": "D"}
{"id": "a421fc50-e9a1-43e6-ba09-ed0d385d4f95", "image_1": "Perception/single/a421fc50-e9a1-43e6-ba09-ed0d385d4f95_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.color distortion\nB.image compression\nC.image stretching\nD.missing tiles", "answer": "C"}
{"id": "2608d7c0-9e8c-4b5d-bce1-0ff04d2b238e", "image_1": "Perception/single/2608d7c0-9e8c-4b5d-bce1-0ff04d2b238e_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.image stretching\nB.color distortion\nC.cloud\nD.noise", "answer": "A"}
{"id": "229ad687-3d81-4841-b3dc-7ada4cf8e02a", "image_1": "Perception/single/229ad687-3d81-4841-b3dc-7ada4cf8e02a_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.missing tiles\nC.No distortion\nD.haze", "answer": "C"}
{"id": "4c7fa0c4-82ca-4811-a266-2cedcab51c5c", "image_1": "Perception/single/4c7fa0c4-82ca-4811-a266-2cedcab51c5c_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.color distortion\nC.image stretching\nD.missing tiles", "answer": "C"}
{"id": "6884d421-2d3e-405b-8ea8-15a048c390cd", "image_1": "Perception/single/6884d421-2d3e-405b-8ea8-15a048c390cd_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.cloud\nC.missing tiles\nD.image stretching", "answer": "D"}
{"id": "08472788-5d82-4958-8ea1-92d033bd1332", "image_1": "Perception/single/08472788-5d82-4958-8ea1-92d033bd1332_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.cloud\nC.image stretching\nD.noise", "answer": "C"}
{"id": "46ad6451-0e32-4c13-a1c7-b5d3ab4196d7", "image_1": "Perception/single/46ad6451-0e32-4c13-a1c7-b5d3ab4196d7_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.noise\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "9583267b-7512-48e3-9741-e27c648070fc", "image_1": "Perception/single/9583267b-7512-48e3-9741-e27c648070fc_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.noise\nC.image compression\nD.image stretching", "answer": "D"}
{"id": "be555f45-1256-4261-b8ed-486985b5de84", "image_1": "Perception/single/be555f45-1256-4261-b8ed-486985b5de84_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.image stretching\nB.dead pixel\nC.color distortion\nD.noise", "answer": "A"}
{"id": "789fdbc6-c54c-4cf8-98b3-4fe52e2f8055", "image_1": "Perception/single/789fdbc6-c54c-4cf8-98b3-4fe52e2f8055_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.image stretching\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "d6127806-7867-431c-b498-3b6391e99686", "image_1": "Perception/single/d6127806-7867-431c-b498-3b6391e99686_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.missing tiles\nC.dead pixel\nD.image stretching", "answer": "D"}
{"id": "8c75d359-3b28-4a16-a2d4-ef6e80e69b13", "image_1": "Perception/single/8c75d359-3b28-4a16-a2d4-ef6e80e69b13_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.image compression\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "28bd8ca6-cbc2-484b-970a-25188b91cb62", "image_1": "Perception/single/28bd8ca6-cbc2-484b-970a-25188b91cb62_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.cloud\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "b4fc414f-b55b-403d-8bbd-1b74cf1060cd", "image_1": "Perception/single/b4fc414f-b55b-403d-8bbd-1b74cf1060cd_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.color distortion\nB.image compression\nC.blur\nD.image stretching", "answer": "D"}
{"id": "2970e823-92d6-4cc6-a06b-10694ad93406", "image_1": "Perception/single/2970e823-92d6-4cc6-a06b-10694ad93406_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.haze\nC.image stretching\nD.image compression", "answer": "C"}
{"id": "db740965-9176-4786-8755-fd9598ccd561", "image_1": "Perception/single/db740965-9176-4786-8755-fd9598ccd561_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.cloud\nC.color distortion\nD.image stretching", "answer": "D"}
{"id": "6c391f82-2525-45e3-b9b0-e52465f58d36", "image_1": "Perception/single/6c391f82-2525-45e3-b9b0-e52465f58d36_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.No distortion\nC.blur\nD.image stretching", "answer": "D"}
{"id": "acb91011-c02b-4d04-82a9-9817f5f0fbfc", "image_1": "Perception/single/acb91011-c02b-4d04-82a9-9817f5f0fbfc_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.No distortion\nC.image compression\nD.haze", "answer": "B"}
{"id": "4dfa65cd-fa70-4000-a966-ad8a7c318e44", "image_1": "Perception/single/4dfa65cd-fa70-4000-a966-ad8a7c318e44_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "61735922-1865-4bb0-86e8-0e13cf9e9b8d", "image_1": "Perception/single/61735922-1865-4bb0-86e8-0e13cf9e9b8d_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.haze\nB.cloud\nC.image stretching\nD.noise", "answer": "C"}
{"id": "1b650476-ded2-43bb-a174-7eeb07741cae", "image_1": "Perception/single/1b650476-ded2-43bb-a174-7eeb07741cae_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image stretching\nB.color distortion\nC.noise\nD.image compression", "answer": "A"}
{"id": "aa91de62-a117-4061-a87b-9e29f37732f8", "image_1": "Perception/single/aa91de62-a117-4061-a87b-9e29f37732f8_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.image stretching\nB.noise\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "32832b76-e3ee-4365-97fe-87a04b1cc153", "image_1": "Perception/single/32832b76-e3ee-4365-97fe-87a04b1cc153_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.missing tiles\nC.image stretching\nD.noise", "answer": "C"}
{"id": "a8d59c26-cd2a-45c5-a847-edf38da6365f", "image_1": "Perception/single/a8d59c26-cd2a-45c5-a847-edf38da6365f_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.color distortion\nB.image stretching\nC.dead pixel\nD.No distortion", "answer": "B"}
{"id": "914210e2-d5c5-4a07-9d23-77a99058237a", "image_1": "Perception/single/914210e2-d5c5-4a07-9d23-77a99058237a_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.cloud", "answer": "A"}
{"id": "86aee5a3-1b2c-4f96-b54c-a853bde0b06b", "image_1": "Perception/single/86aee5a3-1b2c-4f96-b54c-a853bde0b06b_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.color distortion\nC.haze\nD.image stretching", "answer": "D"}
{"id": "971ce004-32fb-4e74-989e-3dc9fd9ca1db", "image_1": "Perception/single/971ce004-32fb-4e74-989e-3dc9fd9ca1db_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.haze\nC.noise\nD.dead pixel", "answer": "A"}
{"id": "d43f848d-2ea7-4a2b-b64d-c72bc041c0a7", "image_1": "Perception/single/d43f848d-2ea7-4a2b-b64d-c72bc041c0a7_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.haze\nB.color distortion\nC.image stretching\nD.image compression", "answer": "C"}
{"id": "71cf69f0-5042-4182-9e48-5ccfad01b253", "image_1": "Perception/single/71cf69f0-5042-4182-9e48-5ccfad01b253_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.cloud", "answer": "A"}
{"id": "cb09e331-8cff-4b9c-b765-1c33b9c1b90c", "image_1": "Perception/single/cb09e331-8cff-4b9c-b765-1c33b9c1b90c_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.missing tiles\nC.image stretching\nD.No distortion", "answer": "C"}
{"id": "c20712b7-202c-4bd2-9187-19d7bf094691", "image_1": "Perception/single/c20712b7-202c-4bd2-9187-19d7bf094691_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.blur\nC.image stretching\nD.cloud", "answer": "C"}
{"id": "b8e57427-cc9a-4711-8758-ac0468ef0a03", "image_1": "Perception/single/b8e57427-cc9a-4711-8758-ac0468ef0a03_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.No distortion\nC.image stretching\nD.image compression", "answer": "C"}
{"id": "4d2a7a7d-0da8-4489-a4ce-a5955a6df7be", "image_1": "Perception/single/4d2a7a7d-0da8-4489-a4ce-a5955a6df7be_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.image compression\nC.color distortion\nD.image stretching", "answer": "D"}
{"id": "c38d2a6f-6356-4e08-b82b-67881b1557dd", "image_1": "Perception/single/c38d2a6f-6356-4e08-b82b-67881b1557dd_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.image compression\nC.image stretching\nD.cloud", "answer": "C"}
{"id": "bc10a5d4-3b2a-49b1-a2aa-7e3c21ea0788", "image_1": "Perception/single/bc10a5d4-3b2a-49b1-a2aa-7e3c21ea0788_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.image stretching\nB.missing tiles\nC.image compression\nD.cloud", "answer": "A"}
{"id": "6fdb1c6e-ff80-4e52-8ec8-6f8940ac11ef", "image_1": "Perception/single/6fdb1c6e-ff80-4e52-8ec8-6f8940ac11ef_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.cloud\nB.image compression\nC.dead pixel\nD.image stretching", "answer": "D"}
{"id": "b58eb2e8-be57-434a-944d-c0d88a3960ae", "image_1": "Perception/single/b58eb2e8-be57-434a-944d-c0d88a3960ae_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.noise\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "f5adc9a1-a4cb-4412-872e-c01020c5d34a", "image_1": "Perception/single/f5adc9a1-a4cb-4412-872e-c01020c5d34a_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image stretching\nB.noise\nC.No distortion\nD.blur", "answer": "A"}
{"id": "69d8d858-2ae2-4da8-a61f-2b214aff915e", "image_1": "Perception/single/69d8d858-2ae2-4da8-a61f-2b214aff915e_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.image stretching\nC.cloud\nD.blur", "answer": "B"}
{"id": "291b39f7-ff45-4169-bc9e-2f562bfcddca", "image_1": "Perception/single/291b39f7-ff45-4169-bc9e-2f562bfcddca_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.blur\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "a106a577-3ea1-4499-8352-f3a0c308afc3", "image_1": "Perception/single/a106a577-3ea1-4499-8352-f3a0c308afc3_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.image stretching\nC.blur\nD.haze", "answer": "B"}
{"id": "7ce77c65-e06f-4314-9016-8b5e0d1f965a", "image_1": "Perception/single/7ce77c65-e06f-4314-9016-8b5e0d1f965a_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.dead pixel\nC.haze\nD.blur", "answer": "A"}
{"id": "b8b54700-ccad-4a05-a0a6-6e7c3a80e032", "image_1": "Perception/single/b8b54700-ccad-4a05-a0a6-6e7c3a80e032_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "e83a2f56-7d03-4275-b6e1-1af26d9ed934", "image_1": "Perception/single/e83a2f56-7d03-4275-b6e1-1af26d9ed934_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.image stretching\nD.dead pixel", "answer": "C"}
{"id": "c3579543-ea78-487f-83db-2d1cb2588c2e", "image_1": "Perception/single/c3579543-ea78-487f-83db-2d1cb2588c2e_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.missing tiles\nB.haze\nC.image stretching\nD.color distortion", "answer": "C"}
{"id": "e69c827d-3763-4fe6-a10e-70c83bc1d045", "image_1": "Perception/single/e69c827d-3763-4fe6-a10e-70c83bc1d045_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.blur\nC.cloud\nD.noise", "answer": "A"}
{"id": "3476e72e-4f1f-4706-8980-772666a30c53", "image_1": "Perception/single/3476e72e-4f1f-4706-8980-772666a30c53_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.color distortion\nC.blur\nD.image compression", "answer": "A"}
{"id": "81892219-68e2-43ee-9a6f-eae11b806cf8", "image_1": "Perception/single/81892219-68e2-43ee-9a6f-eae11b806cf8_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.color distortion\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "d2ee406f-09d8-4ce7-9ca9-add194d1b8b0", "image_1": "Perception/single/d2ee406f-09d8-4ce7-9ca9-add194d1b8b0_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.noise\nB.blur\nC.image stretching\nD.No distortion", "answer": "C"}
{"id": "0fe47361-4a38-40ef-bb2d-40b2daf1af4c", "image_1": "Perception/single/0fe47361-4a38-40ef-bb2d-40b2daf1af4c_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.missing tiles\nB.image stretching\nC.image compression\nD.color distortion", "answer": "B"}
{"id": "45ea4a9e-02f9-4cbe-9e16-f4f8b0aa45d0", "image_1": "Perception/single/45ea4a9e-02f9-4cbe-9e16-f4f8b0aa45d0_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.noise\nC.image stretching\nD.blur", "answer": "C"}
{"id": "1d037b6c-c5b9-4c32-abea-40c11daf58df", "image_1": "Perception/single/1d037b6c-c5b9-4c32-abea-40c11daf58df_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.No distortion\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "f1b60b48-e9e9-4756-887f-9425eafeaefb", "image_1": "Perception/single/f1b60b48-e9e9-4756-887f-9425eafeaefb_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.No distortion\nC.blur\nD.image stretching", "answer": "D"}
{"id": "10eebbfe-7f60-4aeb-9b0f-dbc5767b7439", "image_1": "Perception/single/10eebbfe-7f60-4aeb-9b0f-dbc5767b7439_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.noise\nC.image stretching\nD.color distortion", "answer": "C"}
{"id": "caeccd33-11a9-41f0-84e3-dd28fd1220a7", "image_1": "Perception/single/caeccd33-11a9-41f0-84e3-dd28fd1220a7_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.blur\nC.noise\nD.No distortion", "answer": "A"}
{"id": "3c7c3b42-a3cf-43c9-8ba5-687c3155edb2", "image_1": "Perception/single/3c7c3b42-a3cf-43c9-8ba5-687c3155edb2_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.cloud\nB.color distortion\nC.image stretching\nD.No distortion", "answer": "C"}
{"id": "d236c51f-09f1-4dcb-a564-c2a98a238e34", "image_1": "Perception/single/d236c51f-09f1-4dcb-a564-c2a98a238e34_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.image stretching\nC.cloud\nD.blur", "answer": "B"}
{"id": "7f491d1c-2eeb-4a49-8900-c5cdce9e4b9f", "image_1": "Perception/single/7f491d1c-2eeb-4a49-8900-c5cdce9e4b9f_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.haze\nD.image stretching", "answer": "D"}
{"id": "8f7fd514-ece8-4fd4-937f-d5b5b83d58f9", "image_1": "Perception/single/8f7fd514-ece8-4fd4-937f-d5b5b83d58f9_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.dead pixel\nC.image stretching\nD.missing tiles", "answer": "C"}
{"id": "1712e6ec-8dea-411c-b783-870d4fe7e1d4", "image_1": "Perception/single/1712e6ec-8dea-411c-b783-870d4fe7e1d4_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.color distortion\nC.image stretching\nD.noise", "answer": "C"}
{"id": "515e5aa2-9666-4c3c-8c95-abebac7c3b15", "image_1": "Perception/single/515e5aa2-9666-4c3c-8c95-abebac7c3b15_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.image stretching\nC.noise\nD.dead pixel", "answer": "B"}
{"id": "05add554-3260-46c4-a786-a7ce56498b54", "image_1": "Perception/single/05add554-3260-46c4-a786-a7ce56498b54_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.cloud\nC.image stretching\nD.noise", "answer": "C"}
{"id": "9cd73c61-f30d-44c9-a7e2-a1e4fe065473", "image_1": "Perception/single/9cd73c61-f30d-44c9-a7e2-a1e4fe065473_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.dead pixel\nC.No distortion\nD.blur", "answer": "C"}
{"id": "c419301e-d4d6-43e3-8630-d6486792f0dc", "image_1": "Perception/single/c419301e-d4d6-43e3-8630-d6486792f0dc_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.blur\nC.haze\nD.image stretching", "answer": "D"}
{"id": "4320fca6-4217-42e3-b896-cc9e304dfd7f", "image_1": "Perception/single/4320fca6-4217-42e3-b896-cc9e304dfd7f_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.image stretching\nC.dead pixel\nD.haze", "answer": "B"}
{"id": "7bf1e580-1f1d-4440-b58f-994f4abad26c", "image_1": "Perception/single/7bf1e580-1f1d-4440-b58f-994f4abad26c_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.image stretching", "answer": "D"}
{"id": "862c4be9-f0c0-491f-8eff-fea9761b22c6", "image_1": "Perception/single/862c4be9-f0c0-491f-8eff-fea9761b22c6_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.color distortion\nC.No distortion\nD.noise", "answer": "C"}
{"id": "0cb28282-95a7-49d5-b13c-c7a8fec83a42", "image_1": "Perception/single/0cb28282-95a7-49d5-b13c-c7a8fec83a42_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.dead pixel\nC.image compression\nD.image stretching", "answer": "D"}
{"id": "f6435ec7-78b3-43c1-bf05-849d7ddff315", "image_1": "Perception/single/f6435ec7-78b3-43c1-bf05-849d7ddff315_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.No distortion\nB.color distortion\nC.image stretching\nD.image compression", "answer": "C"}
{"id": "5a493ead-1afd-4fdb-9721-b478af791bf8", "image_1": "Perception/single/5a493ead-1afd-4fdb-9721-b478af791bf8_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "71cc5855-cafd-4780-8ddc-4a5cd1d0737f", "image_1": "Perception/single/71cc5855-cafd-4780-8ddc-4a5cd1d0737f_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.No distortion\nC.image compression\nD.blur", "answer": "B"}
{"id": "dcda6002-8529-4f55-a18f-b2eebf78bce1", "image_1": "Perception/single/dcda6002-8529-4f55-a18f-b2eebf78bce1_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.image stretching\nB.haze\nC.No distortion\nD.dead pixel", "answer": "A"}
{"id": "f32322c2-d25b-414d-96da-cbf6aa8e3fa6", "image_1": "Perception/single/f32322c2-d25b-414d-96da-cbf6aa8e3fa6_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.image stretching\nC.blur\nD.image compression", "answer": "B"}
{"id": "8b585e48-9e59-412e-b55a-123fb5329f88", "image_1": "Perception/single/8b585e48-9e59-412e-b55a-123fb5329f88_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image stretching\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "320bd51b-a5c9-4f29-9133-4500e5a253c7", "image_1": "Perception/single/320bd51b-a5c9-4f29-9133-4500e5a253c7_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.noise\nC.missing tiles\nD.dead pixel", "answer": "A"}
{"id": "c260f882-5724-46f9-a302-b20c88630ffb", "image_1": "Perception/single/c260f882-5724-46f9-a302-b20c88630ffb_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.image compression\nC.cloud\nD.image stretching", "answer": "D"}
{"id": "c00e9b11-30d0-495f-b445-e1fa86a590c7", "image_1": "Perception/single/c00e9b11-30d0-495f-b445-e1fa86a590c7_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.image stretching\nC.color distortion\nD.missing tiles", "answer": "B"}
{"id": "1afd3526-19cd-43c5-8d80-e65201c53ee4", "image_1": "Perception/single/1afd3526-19cd-43c5-8d80-e65201c53ee4_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.image stretching\nC.dead pixel\nD.color distortion", "answer": "B"}
{"id": "c68105d0-0257-43f4-aaa7-973a074d4857", "image_1": "Perception/single/c68105d0-0257-43f4-aaa7-973a074d4857_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image compression\nC.noise\nD.image stretching", "answer": "D"}
{"id": "7c4f8cde-d832-4a30-96ad-db42475a634a", "image_1": "Perception/single/7c4f8cde-d832-4a30-96ad-db42475a634a_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.No distortion\nC.haze\nD.cloud", "answer": "B"}
{"id": "5d8ef0d2-6b57-4c1f-89f5-1c8d283e9dc1", "image_1": "Perception/single/5d8ef0d2-6b57-4c1f-89f5-1c8d283e9dc1_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.No distortion\nC.blur\nD.image stretching", "answer": "D"}
{"id": "e75bb006-6902-418d-802a-39d59bdef01f", "image_1": "Perception/single/e75bb006-6902-418d-802a-39d59bdef01f_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.missing tiles\nC.image stretching\nD.image compression", "answer": "C"}
{"id": "e01b692a-fc72-4c0e-9ac2-293e16b75b47", "image_1": "Perception/single/e01b692a-fc72-4c0e-9ac2-293e16b75b47_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.dead pixel\nB.image stretching\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "3b500ac8-f96e-4aef-9db6-a4c015bcaeeb", "image_1": "Perception/single/3b500ac8-f96e-4aef-9db6-a4c015bcaeeb_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "b87ef771-aa2e-4bd3-83ac-6fd7b4a596cd", "image_1": "Perception/single/b87ef771-aa2e-4bd3-83ac-6fd7b4a596cd_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.No distortion\nB.blur\nC.dead pixel\nD.image stretching", "answer": "D"}
{"id": "ccc12986-2dc1-4d09-949c-4fd637a97685", "image_1": "Perception/single/ccc12986-2dc1-4d09-949c-4fd637a97685_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.dead pixel\nD.noise", "answer": "A"}
{"id": "c965ddfd-dfab-4c2e-bf0a-8e70256ea288", "image_1": "Perception/single/c965ddfd-dfab-4c2e-bf0a-8e70256ea288_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.image compression\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "939a9050-85f5-4cef-a166-4dc1a5782490", "image_1": "Perception/single/939a9050-85f5-4cef-a166-4dc1a5782490_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.image stretching\nB.blur\nC.No distortion\nD.missing tiles", "answer": "A"}
{"id": "fba5599c-bbfb-442b-a557-9a5cb9e77bcd", "image_1": "Perception/single/fba5599c-bbfb-442b-a557-9a5cb9e77bcd_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.haze\nC.image stretching\nD.No distortion", "answer": "C"}
{"id": "b74fae33-246e-44ff-98c9-b657e6ddf654", "image_1": "Perception/single/b74fae33-246e-44ff-98c9-b657e6ddf654_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.noise\nD.No distortion", "answer": "D"}
{"id": "e648509d-e51a-4b07-a563-024a2d3b2141", "image_1": "Perception/single/e648509d-e51a-4b07-a563-024a2d3b2141_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.image stretching\nB.noise\nC.haze\nD.image compression", "answer": "A"}
{"id": "8f0c4a93-e539-4a88-ae57-897fe03a8a58", "image_1": "Perception/single/8f0c4a93-e539-4a88-ae57-897fe03a8a58_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.cloud\nC.haze\nD.image stretching", "answer": "D"}
{"id": "a6ccf3a6-70b2-4c20-888d-bf703617ea15", "image_1": "Perception/single/a6ccf3a6-70b2-4c20-888d-bf703617ea15_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.image stretching\nB.No distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "f4f44e5e-3585-4ecf-87c4-87343fe10465", "image_1": "Perception/single/f4f44e5e-3585-4ecf-87c4-87343fe10465_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.No distortion\nC.color distortion\nD.noise", "answer": "B"}
{"id": "aa08067b-e0a8-4cd4-b457-0704bd8cfcf4", "image_1": "Perception/single/aa08067b-e0a8-4cd4-b457-0704bd8cfcf4_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.missing tiles\nB.noise\nC.image stretching\nD.image compression", "answer": "C"}
{"id": "0a3bd194-55e6-4ae8-9c3f-780723614479", "image_1": "Perception/single/0a3bd194-55e6-4ae8-9c3f-780723614479_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.dead pixel\nC.image stretching\nD.haze", "answer": "A"}
{"id": "9c282964-7417-451b-b353-7568b4e35dff", "image_1": "Perception/single/9c282964-7417-451b-b353-7568b4e35dff_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.color distortion\nC.image stretching\nD.No distortion", "answer": "C"}
{"id": "a92691d1-1f6b-4c09-b9e0-a87676c5e7a0", "image_1": "Perception/single/a92691d1-1f6b-4c09-b9e0-a87676c5e7a0_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.haze\nC.blur\nD.image stretching", "answer": "D"}
{"id": "2088a811-e351-4227-b872-eb7f18b35f16", "image_1": "Perception/single/2088a811-e351-4227-b872-eb7f18b35f16_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.dead pixel\nC.color distortion\nD.blur", "answer": "A"}
{"id": "b9311596-ece5-4e11-ba32-f72582a0cfcf", "image_1": "Perception/single/b9311596-ece5-4e11-ba32-f72582a0cfcf_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.color distortion\nC.blur\nD.No distortion", "answer": "D"}
{"id": "ae907113-7a7e-4b16-ac1d-c90f11c84593", "image_1": "Perception/single/ae907113-7a7e-4b16-ac1d-c90f11c84593_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "a3ad8ccd-4f4a-4947-9b4e-17a3cca388bb", "image_1": "Perception/single/a3ad8ccd-4f4a-4947-9b4e-17a3cca388bb_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.image stretching\nB.color distortion\nC.cloud\nD.noise", "answer": "A"}
{"id": "0d6fd153-bbfc-4557-b39a-fa9b18244a5a", "image_1": "Perception/single/0d6fd153-bbfc-4557-b39a-fa9b18244a5a_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.missing tiles\nC.No distortion\nD.haze", "answer": "C"}
{"id": "b10cb426-c42a-4eec-9ead-88041799e892", "image_1": "Perception/single/b10cb426-c42a-4eec-9ead-88041799e892_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.haze\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "971fb3e7-921d-44e8-8e00-752252b5ab7a", "image_1": "Perception/single/971fb3e7-921d-44e8-8e00-752252b5ab7a_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.cloud\nC.missing tiles\nD.image stretching", "answer": "D"}
{"id": "e6e4fdc8-7d66-466a-bc30-f020a8d167df", "image_1": "Perception/single/e6e4fdc8-7d66-466a-bc30-f020a8d167df_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.cloud\nC.image stretching\nD.noise", "answer": "C"}
{"id": "7aae06c3-c773-4537-9fae-73105716fa6a", "image_1": "Perception/single/7aae06c3-c773-4537-9fae-73105716fa6a_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.color distortion\nB.cloud\nC.dead pixel\nD.image stretching", "answer": "D"}
{"id": "60045d8a-fb19-4b13-b1b8-7a5b189a8356", "image_1": "Perception/single/60045d8a-fb19-4b13-b1b8-7a5b189a8356_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.noise\nC.image compression\nD.image stretching", "answer": "D"}
{"id": "f09198f2-de1b-46ef-823f-16b84740472a", "image_1": "Perception/single/f09198f2-de1b-46ef-823f-16b84740472a_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.image stretching\nB.dead pixel\nC.color distortion\nD.noise", "answer": "A"}
{"id": "5c70149f-92a1-4fa7-83db-f442cba1cf09", "image_1": "Perception/single/5c70149f-92a1-4fa7-83db-f442cba1cf09_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.image stretching\nC.noise\nD.missing tiles", "answer": "B"}
{"id": "fc1d9d00-7598-47e3-831b-c25ce314cf9e", "image_1": "Perception/single/fc1d9d00-7598-47e3-831b-c25ce314cf9e_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.missing tiles\nC.dead pixel\nD.image stretching", "answer": "D"}
{"id": "6d445038-9e26-4d79-94bb-f6105c9d8710", "image_1": "Perception/single/6d445038-9e26-4d79-94bb-f6105c9d8710_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.image stretching\nB.image compression\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "5cf97855-16f7-4c9d-9ce6-4d33e8e5b925", "image_1": "Perception/single/5cf97855-16f7-4c9d-9ce6-4d33e8e5b925_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.noise\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "15768698-2cea-4413-a75e-5b7080ab883d", "image_1": "Perception/single/15768698-2cea-4413-a75e-5b7080ab883d_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.color distortion\nB.image compression\nC.blur\nD.image stretching", "answer": "D"}
{"id": "cc31c7ea-1aa6-4fa8-ba5c-44080a731209", "image_1": "Perception/single/cc31c7ea-1aa6-4fa8-ba5c-44080a731209_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.image stretching\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "a2f70b05-225e-49fe-b201-379530f3743f", "image_1": "Perception/single/a2f70b05-225e-49fe-b201-379530f3743f_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.noise\nC.haze\nD.No distortion", "answer": "D"}
{"id": "a591ff88-96b7-4e67-8b82-39467a8efe56", "image_1": "Perception/single/a591ff88-96b7-4e67-8b82-39467a8efe56_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.cloud\nC.blur\nD.No distortion", "answer": "D"}
{"id": "6f82e0b7-8d9e-407f-8ab0-b62e92f7822b", "image_1": "Perception/single/6f82e0b7-8d9e-407f-8ab0-b62e92f7822b_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.No distortion\nB.image stretching\nC.image compression\nD.color distortion", "answer": "B"}
{"id": "b6385e29-12e6-4e6a-9260-43ffc0425651", "image_1": "Perception/single/b6385e29-12e6-4e6a-9260-43ffc0425651_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "f1c483d4-434e-4b9b-ba2a-326339020b05", "image_1": "Perception/single/f1c483d4-434e-4b9b-ba2a-326339020b05_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.haze\nB.cloud\nC.image stretching\nD.noise", "answer": "C"}
{"id": "4bcd35f7-8769-4381-998c-d4b42bf0cf1a", "image_1": "Perception/single/4bcd35f7-8769-4381-998c-d4b42bf0cf1a_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image stretching\nB.color distortion\nC.noise\nD.image compression", "answer": "A"}
{"id": "0d4047e7-bf5e-486c-bc5e-5f86ed6b03a3", "image_1": "Perception/single/0d4047e7-bf5e-486c-bc5e-5f86ed6b03a3_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.image stretching\nB.noise\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "3a2e60a8-0332-447f-a70e-0ea7e2d6c800", "image_1": "Perception/single/3a2e60a8-0332-447f-a70e-0ea7e2d6c800_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.missing tiles\nC.image stretching\nD.noise", "answer": "C"}
{"id": "8f744811-7c36-4a37-9a78-580fb5d75bb7", "image_1": "Perception/single/8f744811-7c36-4a37-9a78-580fb5d75bb7_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.color distortion\nB.image stretching\nC.dead pixel\nD.No distortion", "answer": "B"}
{"id": "96073731-aed8-4a5c-93f6-c5b1f7567d5c", "image_1": "Perception/single/96073731-aed8-4a5c-93f6-c5b1f7567d5c_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.cloud", "answer": "A"}
{"id": "3c725533-92d9-45e0-8911-8efa136946b7", "image_1": "Perception/single/3c725533-92d9-45e0-8911-8efa136946b7_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.color distortion\nC.haze\nD.image stretching", "answer": "D"}
{"id": "9f60e2d3-66b5-4b75-881a-3cabaeb1ba60", "image_1": "Perception/single/9f60e2d3-66b5-4b75-881a-3cabaeb1ba60_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.haze\nC.noise\nD.dead pixel", "answer": "A"}
{"id": "b6ac0f9b-49c4-4215-ab20-f86c9e61bbb4", "image_1": "Perception/single/b6ac0f9b-49c4-4215-ab20-f86c9e61bbb4_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.haze\nB.color distortion\nC.image stretching\nD.image compression", "answer": "C"}
{"id": "23feece4-264b-4475-b667-401d24f710a3", "image_1": "Perception/single/23feece4-264b-4475-b667-401d24f710a3_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.cloud", "answer": "A"}
{"id": "71ebfcc9-dd57-44ba-9d20-d29925d6f663", "image_1": "Perception/single/71ebfcc9-dd57-44ba-9d20-d29925d6f663_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.missing tiles\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "afc84a2c-b768-49a4-8455-60a4a717f530", "image_1": "Perception/single/afc84a2c-b768-49a4-8455-60a4a717f530_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.blur\nC.image stretching\nD.cloud", "answer": "C"}
{"id": "d330023f-9891-488a-a052-0d276f44a64b", "image_1": "Perception/single/d330023f-9891-488a-a052-0d276f44a64b_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.cloud\nC.dead pixel\nD.image compression", "answer": "C"}
{"id": "4be3ea88-688a-441a-82b6-ebaa7d67dedf", "image_1": "Perception/single/4be3ea88-688a-441a-82b6-ebaa7d67dedf_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image compression\nC.haze\nD.dead pixel", "answer": "D"}
{"id": "c58d6069-1d9a-4827-8972-101a8dba6979", "image_1": "Perception/single/c58d6069-1d9a-4827-8972-101a8dba6979_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.image compression\nC.dead pixel\nD.noise", "answer": "C"}
{"id": "b09e76a1-397e-4877-8882-41cd8cc80e8c", "image_1": "Perception/single/b09e76a1-397e-4877-8882-41cd8cc80e8c_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.noise", "answer": "A"}
{"id": "2e76a9d8-8f37-4d71-b9a0-df5e71d17908", "image_1": "Perception/single/2e76a9d8-8f37-4d71-b9a0-df5e71d17908_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.image compression\nC.No distortion\nD.dead pixel", "answer": "D"}
{"id": "962c4d44-bb0a-4550-bf7d-67c9e8933797", "image_1": "Perception/single/962c4d44-bb0a-4550-bf7d-67c9e8933797_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.noise\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "bcfa0f01-e47d-4b2c-8631-53033ec3ffb5", "image_1": "Perception/single/bcfa0f01-e47d-4b2c-8631-53033ec3ffb5_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.No distortion\nB.color distortion\nC.cloud\nD.blur", "answer": "A"}
{"id": "6181363f-d7ce-44a8-b201-207a600e998e", "image_1": "Perception/single/6181363f-d7ce-44a8-b201-207a600e998e_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "1b2f0faa-b32f-49d3-beaf-eef8bbe0fe83", "image_1": "Perception/single/1b2f0faa-b32f-49d3-beaf-eef8bbe0fe83_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.blur\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "040377d2-288f-43f0-b99c-e0fb826b317a", "image_1": "Perception/single/040377d2-288f-43f0-b99c-e0fb826b317a_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.dead pixel\nC.blur\nD.image stretching", "answer": "B"}
{"id": "90312a54-b068-4f6e-af12-bf178f34fa6d", "image_1": "Perception/single/90312a54-b068-4f6e-af12-bf178f34fa6d_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.dead pixel\nB.No distortion\nC.image stretching\nD.blur", "answer": "A"}
{"id": "87899ad5-a6aa-465b-bc04-d5d2dab1c08e", "image_1": "Perception/single/87899ad5-a6aa-465b-bc04-d5d2dab1c08e_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "1c45bc81-e8fd-484d-9a73-b8bdf342985a", "image_1": "Perception/single/1c45bc81-e8fd-484d-9a73-b8bdf342985a_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.cloud\nB.blur\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "2712a86d-2e6e-4796-95cd-17e7c19a4ac5", "image_1": "Perception/single/2712a86d-2e6e-4796-95cd-17e7c19a4ac5_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.missing tiles\nB.image stretching\nC.dead pixel\nD.haze", "answer": "C"}
{"id": "c71065c6-db14-4f61-b3f7-7ef2222f0871", "image_1": "Perception/single/c71065c6-db14-4f61-b3f7-7ef2222f0871_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.dead pixel\nB.blur\nC.noise\nD.color distortion", "answer": "A"}
{"id": "fc66f46a-dd88-4f68-b2b0-20861f9f4657", "image_1": "Perception/single/fc66f46a-dd88-4f68-b2b0-20861f9f4657_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.haze\nC.blur\nD.image compression", "answer": "A"}
{"id": "8ebbaf64-0b3a-4fbe-a4ab-ca955c95eb7b", "image_1": "Perception/single/8ebbaf64-0b3a-4fbe-a4ab-ca955c95eb7b_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.color distortion\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "be323b1f-6be9-461d-aca6-28572ba729ab", "image_1": "Perception/single/be323b1f-6be9-461d-aca6-28572ba729ab_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.blur\nC.dead pixel\nD.cloud", "answer": "C"}
{"id": "0b1d4806-7201-491e-a91d-ad74f96c7c27", "image_1": "Perception/single/0b1d4806-7201-491e-a91d-ad74f96c7c27_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.missing tiles\nB.dead pixel\nC.image compression\nD.haze", "answer": "B"}
{"id": "e37042f7-f535-4880-9bfe-cf308f9476d2", "image_1": "Perception/single/e37042f7-f535-4880-9bfe-cf308f9476d2_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.color distortion\nC.dead pixel\nD.blur", "answer": "C"}
{"id": "d3b1b460-2283-41e1-b9f3-c81e1712454c", "image_1": "Perception/single/d3b1b460-2283-41e1-b9f3-c81e1712454c_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.dead pixel\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "e2b22792-083d-4429-8256-0e1c65df994b", "image_1": "Perception/single/e2b22792-083d-4429-8256-0e1c65df994b_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.cloud\nC.blur\nD.No distortion", "answer": "D"}
{"id": "3fedc42c-7555-4413-80d5-a163937fff85", "image_1": "Perception/single/3fedc42c-7555-4413-80d5-a163937fff85_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.color distortion\nC.dead pixel\nD.haze", "answer": "C"}
{"id": "9a42b31c-e54d-4793-8821-00e8ffe0e99a", "image_1": "Perception/single/9a42b31c-e54d-4793-8821-00e8ffe0e99a_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.blur\nC.color distortion\nD.cloud", "answer": "A"}
{"id": "93fa9ec0-d93f-4859-b9c3-52ff6e691ccc", "image_1": "Perception/single/93fa9ec0-d93f-4859-b9c3-52ff6e691ccc_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.haze\nC.dead pixel\nD.cloud", "answer": "C"}
{"id": "3bd11539-f67f-4075-ade9-ee9744b59c4c", "image_1": "Perception/single/3bd11539-f67f-4075-ade9-ee9744b59c4c_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.dead pixel\nC.noise\nD.blur", "answer": "B"}
{"id": "315e88ad-f78c-4e2c-afdd-ad934020563c", "image_1": "Perception/single/315e88ad-f78c-4e2c-afdd-ad934020563c_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "d35c3150-4d93-4931-9b84-e30bd7212f2b", "image_1": "Perception/single/d35c3150-4d93-4931-9b84-e30bd7212f2b_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.No distortion\nC.dead pixel\nD.missing tiles", "answer": "C"}
{"id": "e612d8b2-386d-4d81-884d-9ff567f2323e", "image_1": "Perception/single/e612d8b2-386d-4d81-884d-9ff567f2323e_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.haze\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "6e84bf04-c54c-48f3-a7b9-82422f01cc59", "image_1": "Perception/single/6e84bf04-c54c-48f3-a7b9-82422f01cc59_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.dead pixel\nC.color distortion\nD.No distortion", "answer": "B"}
{"id": "714a4e1b-137a-4363-8fbf-54141c35ff98", "image_1": "Perception/single/714a4e1b-137a-4363-8fbf-54141c35ff98_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.noise\nC.dead pixel\nD.color distortion", "answer": "C"}
{"id": "88a546f9-e242-433b-a718-3829e5d334a7", "image_1": "Perception/single/88a546f9-e242-433b-a718-3829e5d334a7_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.No distortion\nC.dead pixel\nD.blur", "answer": "C"}
{"id": "b63a7817-8145-4a14-990a-a7eb115d8065", "image_1": "Perception/single/b63a7817-8145-4a14-990a-a7eb115d8065_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.blur\nC.image stretching\nD.dead pixel", "answer": "D"}
{"id": "49d51735-e243-4bf6-b108-8dc6ffb699f6", "image_1": "Perception/single/49d51735-e243-4bf6-b108-8dc6ffb699f6_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "B"}
{"id": "d0661b6f-f11d-43b8-8b12-a50bc1a214f3", "image_1": "Perception/single/d0661b6f-f11d-43b8-8b12-a50bc1a214f3_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.missing tiles\nC.image compression\nD.dead pixel", "answer": "D"}
{"id": "32dd5a35-3536-4fc2-89b2-abce2533cd41", "image_1": "Perception/single/32dd5a35-3536-4fc2-89b2-abce2533cd41_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.color distortion\nC.dead pixel\nD.noise", "answer": "C"}
{"id": "dbf39dab-7cdb-4991-a73f-3df8d271d845", "image_1": "Perception/single/dbf39dab-7cdb-4991-a73f-3df8d271d845_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.cloud\nB.No distortion\nC.image compression\nD.dead pixel", "answer": "D"}
{"id": "59bb21a7-6948-4192-99d5-8eb1e77d4e21", "image_1": "Perception/single/59bb21a7-6948-4192-99d5-8eb1e77d4e21_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.cloud\nB.haze\nC.dead pixel\nD.image compression", "answer": "C"}
{"id": "62aa0bca-5767-4073-975e-1f48aee085e3", "image_1": "Perception/single/62aa0bca-5767-4073-975e-1f48aee085e3_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.dead pixel\nC.noise\nD.blur", "answer": "B"}
{"id": "f4bd62ea-d674-4a58-a098-a2a655079ae3", "image_1": "Perception/single/f4bd62ea-d674-4a58-a098-a2a655079ae3_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.dead pixel\nC.image compression\nD.blur", "answer": "B"}
{"id": "a44edf55-7e50-4da5-90ee-75518c05be4d", "image_1": "Perception/single/a44edf55-7e50-4da5-90ee-75518c05be4d_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.dead pixel\nB.image stretching\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "0ff8a809-f5ec-4da3-b6b6-fbe016235233", "image_1": "Perception/single/0ff8a809-f5ec-4da3-b6b6-fbe016235233_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.dead pixel\nC.blur\nD.image compression", "answer": "B"}
{"id": "b5b8f7c7-7c13-42d2-bfc9-bf762014d81d", "image_1": "Perception/single/b5b8f7c7-7c13-42d2-bfc9-bf762014d81d_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image stretching\nC.dead pixel\nD.No distortion", "answer": "C"}
{"id": "715ebaec-9445-41a1-803e-8dacf8347669", "image_1": "Perception/single/715ebaec-9445-41a1-803e-8dacf8347669_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.noise\nC.missing tiles\nD.No distortion", "answer": "A"}
{"id": "79a3500f-67d9-4f15-8bd4-271e7cabefdc", "image_1": "Perception/single/79a3500f-67d9-4f15-8bd4-271e7cabefdc_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.image compression\nC.noise\nD.dead pixel", "answer": "D"}
{"id": "a1ffe597-0303-4b47-8caa-abd998d160c7", "image_1": "Perception/single/a1ffe597-0303-4b47-8caa-abd998d160c7_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.dead pixel\nC.haze\nD.missing tiles", "answer": "B"}
{"id": "fbfd2b43-1512-4c96-bf6a-26441bb5aec5", "image_1": "Perception/single/fbfd2b43-1512-4c96-bf6a-26441bb5aec5_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.dead pixel\nC.No distortion\nD.haze", "answer": "B"}
{"id": "01b0fff9-fa0f-4609-838e-92578e8e2711", "image_1": "Perception/single/01b0fff9-fa0f-4609-838e-92578e8e2711_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image compression\nC.color distortion\nD.No distortion", "answer": "D"}
{"id": "10f88f8f-a833-444f-b575-71209817c906", "image_1": "Perception/single/10f88f8f-a833-444f-b575-71209817c906_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.dead pixel\nC.haze\nD.cloud", "answer": "B"}
{"id": "4f35b4d5-5372-4973-8f36-29e42ff35473", "image_1": "Perception/single/4f35b4d5-5372-4973-8f36-29e42ff35473_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.cloud\nC.blur\nD.No distortion", "answer": "D"}
{"id": "cfaebccd-25cc-4d01-bc2c-fa35e3e20b8b", "image_1": "Perception/single/cfaebccd-25cc-4d01-bc2c-fa35e3e20b8b_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.image compression", "answer": "C"}
{"id": "d240b4b6-9956-4ec2-807c-045590f55880", "image_1": "Perception/single/d240b4b6-9956-4ec2-807c-045590f55880_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.dead pixel\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "20f285fe-4baf-49dd-b68e-de6d2a9b7c9c", "image_1": "Perception/single/20f285fe-4baf-49dd-b68e-de6d2a9b7c9c_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.missing tiles\nC.No distortion\nD.dead pixel", "answer": "D"}
{"id": "d62b7c73-a1b6-4aa8-8b24-de29f207b905", "image_1": "Perception/single/d62b7c73-a1b6-4aa8-8b24-de29f207b905_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.cloud\nB.blur\nC.No distortion\nD.dead pixel", "answer": "D"}
{"id": "1906e31c-ade1-4008-ae98-42a22d3ae603", "image_1": "Perception/single/1906e31c-ade1-4008-ae98-42a22d3ae603_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.image stretching\nC.No distortion\nD.color distortion", "answer": "A"}
{"id": "9e3169c9-2e11-4d33-aaf5-d2199d7892d9", "image_1": "Perception/single/9e3169c9-2e11-4d33-aaf5-d2199d7892d9_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.image compression\nC.noise\nD.No distortion", "answer": "A"}
{"id": "dead4581-0642-4a1c-a181-adba97d58698", "image_1": "Perception/single/dead4581-0642-4a1c-a181-adba97d58698_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "5021673b-25a6-4a52-8f62-e43f4cb2b718", "image_1": "Perception/single/5021673b-25a6-4a52-8f62-e43f4cb2b718_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.image stretching\nC.dead pixel\nD.cloud", "answer": "C"}
{"id": "4f79189b-8fbf-4004-926b-53b49893c30a", "image_1": "Perception/single/4f79189b-8fbf-4004-926b-53b49893c30a_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.No distortion\nC.noise\nD.dead pixel", "answer": "D"}
{"id": "5f0dea1f-94fb-4e73-8d73-829664f20538", "image_1": "Perception/single/5f0dea1f-94fb-4e73-8d73-829664f20538_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.dead pixel\nB.color distortion\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "7d4f17b1-d588-40b5-9a20-dc00fb6afe2c", "image_1": "Perception/single/7d4f17b1-d588-40b5-9a20-dc00fb6afe2c_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.noise\nC.image stretching\nD.dead pixel", "answer": "D"}
{"id": "7bad2e16-f794-4052-ab0c-60134b76ac47", "image_1": "Perception/single/7bad2e16-f794-4052-ab0c-60134b76ac47_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.cloud\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "487f12fe-abdc-410e-a735-afa7a245f6d2", "image_1": "Perception/single/487f12fe-abdc-410e-a735-afa7a245f6d2_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.dead pixel\nC.color distortion\nD.noise", "answer": "B"}
{"id": "7a02a57c-6a13-4d91-bf5a-2efd1a8d97af", "image_1": "Perception/single/7a02a57c-6a13-4d91-bf5a-2efd1a8d97af_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "139c3ec8-4bf1-4d1c-9890-dca2c02e802c", "image_1": "Perception/single/139c3ec8-4bf1-4d1c-9890-dca2c02e802c_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.dead pixel\nB.No distortion\nC.image stretching\nD.haze", "answer": "A"}
{"id": "1eb37af6-dfc1-4672-a09b-517bc98a1410", "image_1": "Perception/single/1eb37af6-dfc1-4672-a09b-517bc98a1410_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.haze\nC.dead pixel\nD.cloud", "answer": "C"}
{"id": "42175b51-619b-401a-9785-6ef451b751ab", "image_1": "Perception/single/42175b51-619b-401a-9785-6ef451b751ab_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.image stretching\nC.blur\nD.dead pixel", "answer": "D"}
{"id": "cf533d21-34a5-4a03-8f89-e949f555fa87", "image_1": "Perception/single/cf533d21-34a5-4a03-8f89-e949f555fa87_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.No distortion\nC.haze\nD.blur", "answer": "A"}
{"id": "935558e7-6920-44bd-90e2-facc0b60bc20", "image_1": "Perception/single/935558e7-6920-44bd-90e2-facc0b60bc20_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.color distortion\nC.blur\nD.No distortion", "answer": "D"}
{"id": "285d17aa-db15-4c30-8471-68daf9f3c360", "image_1": "Perception/single/285d17aa-db15-4c30-8471-68daf9f3c360_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.dead pixel\nD.missing tiles", "answer": "C"}
{"id": "7ba5c1ec-9250-4b42-a5c6-87e921471ec7", "image_1": "Perception/single/7ba5c1ec-9250-4b42-a5c6-87e921471ec7_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.haze\nC.noise\nD.color distortion", "answer": "A"}
{"id": "ce544001-033d-431d-8ee3-2be8c23c6fe4", "image_1": "Perception/single/ce544001-033d-431d-8ee3-2be8c23c6fe4_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.missing tiles\nC.dead pixel\nD.haze", "answer": "C"}
{"id": "f658cb27-2eef-4027-85ce-488da442f536", "image_1": "Perception/single/f658cb27-2eef-4027-85ce-488da442f536_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.haze\nC.dead pixel\nD.missing tiles", "answer": "C"}
{"id": "d5a22841-7a95-4b23-8730-0e0a021cf28b", "image_1": "Perception/single/d5a22841-7a95-4b23-8730-0e0a021cf28b_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.cloud\nB.noise\nC.missing tiles\nD.No distortion", "answer": "D"}
{"id": "9a37242e-6a26-4ad3-8a55-2502344c10d2", "image_1": "Perception/single/9a37242e-6a26-4ad3-8a55-2502344c10d2_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.noise\nC.dead pixel\nD.color distortion", "answer": "C"}
{"id": "8c4fddd5-bc4d-4915-af02-16113877e1b4", "image_1": "Perception/single/8c4fddd5-bc4d-4915-af02-16113877e1b4_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.noise\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "111824b4-c928-478d-83c9-48037f48446e", "image_1": "Perception/single/111824b4-c928-478d-83c9-48037f48446e_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.color distortion\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "e784089e-9a81-444e-962e-d81e7f95483a", "image_1": "Perception/single/e784089e-9a81-444e-962e-d81e7f95483a_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.No distortion\nC.haze\nD.color distortion", "answer": "A"}
{"id": "a8a7646a-0187-4cc5-80e3-dbf9c3c8c2c6", "image_1": "Perception/single/a8a7646a-0187-4cc5-80e3-dbf9c3c8c2c6_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.dead pixel\nC.color distortion\nD.missing tiles", "answer": "B"}
{"id": "6722eb12-b845-4072-8752-0e4b57098d1d", "image_1": "Perception/single/6722eb12-b845-4072-8752-0e4b57098d1d_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.missing tiles\nC.No distortion\nD.dead pixel", "answer": "D"}
{"id": "686855f7-fe61-4a92-af05-e021c0ac4730", "image_1": "Perception/single/686855f7-fe61-4a92-af05-e021c0ac4730_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.image compression\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "feccb040-4031-4f85-88dc-9560a63093c9", "image_1": "Perception/single/feccb040-4031-4f85-88dc-9560a63093c9_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.noise\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "74425657-0efa-4071-a90b-4becef9c09a1", "image_1": "Perception/single/74425657-0efa-4071-a90b-4becef9c09a1_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.image compression\nC.blur\nD.dead pixel", "answer": "D"}
{"id": "75467224-9763-47cd-b0b2-71914138c94a", "image_1": "Perception/single/75467224-9763-47cd-b0b2-71914138c94a_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.image stretching\nC.dead pixel\nD.image compression", "answer": "C"}
{"id": "41d8cc07-1cbc-40d4-b3d8-36f0c78c6121", "image_1": "Perception/single/41d8cc07-1cbc-40d4-b3d8-36f0c78c6121_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.noise\nC.haze\nD.dead pixel", "answer": "D"}
{"id": "1d843d84-48f0-4727-889d-ef18bac77a5c", "image_1": "Perception/single/1d843d84-48f0-4727-889d-ef18bac77a5c_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.cloud\nC.blur\nD.dead pixel", "answer": "D"}
{"id": "133dca1a-fd6d-4f28-b545-60a547281b58", "image_1": "Perception/single/133dca1a-fd6d-4f28-b545-60a547281b58_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.dead pixel\nC.image compression\nD.haze", "answer": "B"}
{"id": "e3258d0b-93cc-4d78-a94c-98d9076bdf2b", "image_1": "Perception/single/e3258d0b-93cc-4d78-a94c-98d9076bdf2b_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.dead pixel\nC.noise\nD.blur", "answer": "B"}
{"id": "fd257781-c1e7-4c37-86ee-f992b08a6233", "image_1": "Perception/single/fd257781-c1e7-4c37-86ee-f992b08a6233_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.noise\nC.dead pixel\nD.color distortion", "answer": "C"}
{"id": "7a3b74b5-0705-43e4-bc01-97379098e14b", "image_1": "Perception/single/7a3b74b5-0705-43e4-bc01-97379098e14b_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.dead pixel\nB.haze\nC.color distortion\nD.image compression", "answer": "A"}
{"id": "c70fd5ed-398b-4993-ad4b-f5593ae70620", "image_1": "Perception/single/c70fd5ed-398b-4993-ad4b-f5593ae70620_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "d7de00a8-6512-4cd0-8fce-e025e0cd91ea", "image_1": "Perception/single/d7de00a8-6512-4cd0-8fce-e025e0cd91ea_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.missing tiles\nC.dead pixel\nD.color distortion", "answer": "C"}
{"id": "1fae0ea1-7cdd-46ff-a2a9-6bb6fec66e23", "image_1": "Perception/single/1fae0ea1-7cdd-46ff-a2a9-6bb6fec66e23_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.dead pixel\nC.No distortion\nD.cloud", "answer": "B"}
{"id": "c3eb6737-69dd-463c-8f5e-229c6a8bc351", "image_1": "Perception/single/c3eb6737-69dd-463c-8f5e-229c6a8bc351_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.missing tiles\nC.No distortion\nD.noise", "answer": "A"}
{"id": "9ef72356-0936-465e-aca1-5a3a7b1d9101", "image_1": "Perception/single/9ef72356-0936-465e-aca1-5a3a7b1d9101_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.haze\nC.image stretching\nD.dead pixel", "answer": "D"}
{"id": "ff2b8947-0a53-4fc7-9416-de17796efdf6", "image_1": "Perception/single/ff2b8947-0a53-4fc7-9416-de17796efdf6_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.image stretching\nC.color distortion\nD.No distortion", "answer": "A"}
{"id": "e8fafff1-93de-46bc-825f-fa4bd6d86d2b", "image_1": "Perception/single/e8fafff1-93de-46bc-825f-fa4bd6d86d2b_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.dead pixel\nD.image compression", "answer": "C"}
{"id": "f3e6802a-260b-4909-a4fe-c1d9933c2bc3", "image_1": "Perception/single/f3e6802a-260b-4909-a4fe-c1d9933c2bc3_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.No distortion\nC.cloud\nD.noise", "answer": "A"}
{"id": "27505b19-70e5-4293-9152-d37ee3642578", "image_1": "Perception/single/27505b19-70e5-4293-9152-d37ee3642578_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.missing tiles\nC.dead pixel\nD.cloud", "answer": "C"}
{"id": "05405c2d-aea6-4401-b92c-fc7604e92a00", "image_1": "Perception/single/05405c2d-aea6-4401-b92c-fc7604e92a00_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.blur\nC.No distortion\nD.noise", "answer": "C"}
{"id": "7fab312a-42d8-42ce-beed-e699818fcaab", "image_1": "Perception/single/7fab312a-42d8-42ce-beed-e699818fcaab_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.cloud\nC.dead pixel\nD.image compression", "answer": "C"}
{"id": "568018cc-4a4c-4db6-bd38-e90e8ddbd412", "image_1": "Perception/single/568018cc-4a4c-4db6-bd38-e90e8ddbd412_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image compression\nC.haze\nD.dead pixel", "answer": "D"}
{"id": "aef5642b-bf06-4f88-90c0-31719bd277a4", "image_1": "Perception/single/aef5642b-bf06-4f88-90c0-31719bd277a4_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.image compression\nC.dead pixel\nD.noise", "answer": "C"}
{"id": "3097e45c-812a-4728-9d6d-796ddc535527", "image_1": "Perception/single/3097e45c-812a-4728-9d6d-796ddc535527_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.noise", "answer": "A"}
{"id": "7aa19b00-5048-4cd4-83cc-7d388e41ae3f", "image_1": "Perception/single/7aa19b00-5048-4cd4-83cc-7d388e41ae3f_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.image compression\nC.No distortion\nD.dead pixel", "answer": "D"}
{"id": "243168a2-d9d5-4092-a03e-1f6278dea2fa", "image_1": "Perception/single/243168a2-d9d5-4092-a03e-1f6278dea2fa_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.noise\nC.cloud\nD.No distortion", "answer": "D"}
{"id": "31cf0023-f40d-4fb2-9889-82b7e5e66f0b", "image_1": "Perception/single/31cf0023-f40d-4fb2-9889-82b7e5e66f0b_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.dead pixel\nB.color distortion\nC.cloud\nD.blur", "answer": "A"}
{"id": "4642e83b-c939-4802-abb7-ccde7c44e6c2", "image_1": "Perception/single/4642e83b-c939-4802-abb7-ccde7c44e6c2_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "62a1bf8e-7617-4ce9-be83-091585bcb286", "image_1": "Perception/single/62a1bf8e-7617-4ce9-be83-091585bcb286_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.blur\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "2d04b028-670b-4ed4-9f7e-01fae2d6acf0", "image_1": "Perception/single/2d04b028-670b-4ed4-9f7e-01fae2d6acf0_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.dead pixel\nC.blur\nD.image stretching", "answer": "B"}
{"id": "8d055ba9-473e-43de-8b0c-be863d6709fc", "image_1": "Perception/single/8d055ba9-473e-43de-8b0c-be863d6709fc_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.dead pixel\nB.No distortion\nC.image stretching\nD.blur", "answer": "A"}
{"id": "86d158d0-e560-4074-8d13-1b24918145bf", "image_1": "Perception/single/86d158d0-e560-4074-8d13-1b24918145bf_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "ee1848f4-ca43-44bb-bdfe-44997d3a5fe7", "image_1": "Perception/single/ee1848f4-ca43-44bb-bdfe-44997d3a5fe7_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.cloud\nB.blur\nC.dead pixel\nD.No distortion", "answer": "C"}
{"id": "058b8f78-761f-4c11-90f7-54afc149f291", "image_1": "Perception/single/058b8f78-761f-4c11-90f7-54afc149f291_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.missing tiles\nB.image stretching\nC.dead pixel\nD.haze", "answer": "C"}
{"id": "83671ecd-862d-48f4-99cd-ee45b28420b8", "image_1": "Perception/single/83671ecd-862d-48f4-99cd-ee45b28420b8_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.dead pixel\nB.blur\nC.noise\nD.color distortion", "answer": "A"}
{"id": "3cfade38-755b-4fff-872d-f1a8a97ea686", "image_1": "Perception/single/3cfade38-755b-4fff-872d-f1a8a97ea686_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.haze\nC.blur\nD.image compression", "answer": "A"}
{"id": "6ba63bab-8874-490a-910a-7256daa9044f", "image_1": "Perception/single/6ba63bab-8874-490a-910a-7256daa9044f_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.color distortion\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "608aeaa3-d886-4801-80d9-cb19adb97b4f", "image_1": "Perception/single/608aeaa3-d886-4801-80d9-cb19adb97b4f_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.blur\nC.dead pixel\nD.cloud", "answer": "C"}
{"id": "6d412482-a6e3-444e-9b8f-7ec9f4983555", "image_1": "Perception/single/6d412482-a6e3-444e-9b8f-7ec9f4983555_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.missing tiles\nB.dead pixel\nC.image compression\nD.haze", "answer": "B"}
{"id": "8bf0ebc6-0ec5-46a6-8394-1e181aae43d6", "image_1": "Perception/single/8bf0ebc6-0ec5-46a6-8394-1e181aae43d6_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.color distortion\nC.dead pixel\nD.blur", "answer": "C"}
{"id": "559223f7-b510-41a1-a213-327403351b19", "image_1": "Perception/single/559223f7-b510-41a1-a213-327403351b19_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.dead pixel\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "42f5c7df-af82-4ddf-a142-79ff7e454f76", "image_1": "Perception/single/42f5c7df-af82-4ddf-a142-79ff7e454f76_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.cloud\nC.blur\nD.dead pixel", "answer": "D"}
{"id": "3edfb7e3-a85b-4e66-b619-29c1da5d8317", "image_1": "Perception/single/3edfb7e3-a85b-4e66-b619-29c1da5d8317_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.color distortion\nC.No distortion\nD.haze", "answer": "C"}
{"id": "a7d136ec-f5bd-4ad9-821c-f4fbd990ba38", "image_1": "Perception/single/a7d136ec-f5bd-4ad9-821c-f4fbd990ba38_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.dead pixel\nB.blur\nC.color distortion\nD.cloud", "answer": "A"}
{"id": "a405a038-e8bb-485d-808d-83f1eca86d39", "image_1": "Perception/single/a405a038-e8bb-485d-808d-83f1eca86d39_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.haze\nC.dead pixel\nD.cloud", "answer": "C"}
{"id": "5aab0426-44bf-45f1-a56d-8431ab727c06", "image_1": "Perception/single/5aab0426-44bf-45f1-a56d-8431ab727c06_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "115ed54f-da1e-4b83-bc6c-a321078b8c66", "image_1": "Perception/single/115ed54f-da1e-4b83-bc6c-a321078b8c66_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.image stretching\nD.dead pixel", "answer": "D"}
{"id": "a10cbcd1-276f-405b-a7bd-f6187a88af93", "image_1": "Perception/single/a10cbcd1-276f-405b-a7bd-f6187a88af93_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.No distortion\nC.dead pixel\nD.missing tiles", "answer": "C"}
{"id": "6646316f-ee7b-47cf-a66d-13e220590752", "image_1": "Perception/single/6646316f-ee7b-47cf-a66d-13e220590752_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.haze\nC.dead pixel\nD.color distortion", "answer": "C"}
{"id": "b350b214-b255-4785-8a4d-846f49ff173e", "image_1": "Perception/single/b350b214-b255-4785-8a4d-846f49ff173e_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.dead pixel\nC.color distortion\nD.No distortion", "answer": "B"}
{"id": "dec3132d-9d07-46f4-bbef-143604ac35c5", "image_1": "Perception/single/dec3132d-9d07-46f4-bbef-143604ac35c5_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.noise\nC.dead pixel\nD.color distortion", "answer": "C"}
{"id": "5a6bc9fd-9753-461b-b42a-e888f8f67395", "image_1": "Perception/single/5a6bc9fd-9753-461b-b42a-e888f8f67395_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.No distortion\nC.dead pixel\nD.blur", "answer": "C"}
{"id": "d9910cd9-1a17-40eb-b95d-18be4cf95dd7", "image_1": "Perception/single/d9910cd9-1a17-40eb-b95d-18be4cf95dd7_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.blur\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "c5eb8047-ce1c-4ee3-9871-af8e6275a68b", "image_1": "Perception/single/c5eb8047-ce1c-4ee3-9871-af8e6275a68b_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.dead pixel\nC.No distortion\nD.image stretching", "answer": "B"}
{"id": "caf26f4b-a3e9-49ee-a507-fce4fab2418b", "image_1": "Perception/single/caf26f4b-a3e9-49ee-a507-fce4fab2418b_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "90d82c75-14b0-4440-8ee7-dae96a70267b", "image_1": "Perception/single/90d82c75-14b0-4440-8ee7-dae96a70267b_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.color distortion\nC.No distortion\nD.noise", "answer": "C"}
{"id": "74fb8dc7-5bb9-4874-830f-50619eecc61a", "image_1": "Perception/single/74fb8dc7-5bb9-4874-830f-50619eecc61a_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.cloud\nB.No distortion\nC.image compression\nD.dead pixel", "answer": "D"}
{"id": "c56b5de3-1372-414f-9d79-c8b3d13bf667", "image_1": "Perception/single/c56b5de3-1372-414f-9d79-c8b3d13bf667_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.cloud\nB.haze\nC.dead pixel\nD.image compression", "answer": "C"}
{"id": "92d55c61-9087-41b3-a6dc-0c62795384a6", "image_1": "Perception/single/92d55c61-9087-41b3-a6dc-0c62795384a6_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.dead pixel\nC.noise\nD.blur", "answer": "B"}
{"id": "5430d994-e059-4595-8e91-b2d1ee7fa7ea", "image_1": "Perception/single/5430d994-e059-4595-8e91-b2d1ee7fa7ea_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.dead pixel\nC.image compression\nD.blur", "answer": "B"}
{"id": "97d363b8-65a9-4a78-8d62-6ff4f33826aa", "image_1": "Perception/single/97d363b8-65a9-4a78-8d62-6ff4f33826aa_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.dead pixel\nB.image stretching\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "2da258f0-7836-45ee-8dd1-1af7a6ad1a80", "image_1": "Perception/single/2da258f0-7836-45ee-8dd1-1af7a6ad1a80_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.dead pixel\nC.blur\nD.image compression", "answer": "B"}
{"id": "fcdbdc1d-3317-421b-92ab-788ec92f4df9", "image_1": "Perception/single/fcdbdc1d-3317-421b-92ab-788ec92f4df9_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image stretching\nC.dead pixel\nD.No distortion", "answer": "C"}
{"id": "1e9edcda-02c3-4753-87fc-a56d04c26bb1", "image_1": "Perception/single/1e9edcda-02c3-4753-87fc-a56d04c26bb1_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.noise\nC.missing tiles\nD.No distortion", "answer": "A"}
{"id": "4b21ed09-aa85-4944-8cee-acd68d235235", "image_1": "Perception/single/4b21ed09-aa85-4944-8cee-acd68d235235_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.image compression\nC.noise\nD.dead pixel", "answer": "D"}
{"id": "734f1ae9-c0ee-4126-89a2-8812edade036", "image_1": "Perception/single/734f1ae9-c0ee-4126-89a2-8812edade036_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.dead pixel\nC.haze\nD.missing tiles", "answer": "B"}
{"id": "b65015c4-1f86-4080-aab7-03a11902a8ef", "image_1": "Perception/single/b65015c4-1f86-4080-aab7-03a11902a8ef_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.dead pixel\nC.No distortion\nD.haze", "answer": "B"}
{"id": "1bf1d03a-3e2a-42a7-bb2b-82766f04562e", "image_1": "Perception/single/1bf1d03a-3e2a-42a7-bb2b-82766f04562e_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image compression\nC.color distortion\nD.No distortion", "answer": "D"}
{"id": "14f17b5e-b8e5-4d43-ac32-daa8a2f25f4d", "image_1": "Perception/single/14f17b5e-b8e5-4d43-ac32-daa8a2f25f4d_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.dead pixel\nC.haze\nD.cloud", "answer": "B"}
{"id": "8cc7ee93-238c-4008-a381-144ea0ace29e", "image_1": "Perception/single/8cc7ee93-238c-4008-a381-144ea0ace29e_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.cloud\nC.blur\nD.dead pixel", "answer": "D"}
{"id": "1345a515-1140-4883-b9d9-85b6fc217d57", "image_1": "Perception/single/1345a515-1140-4883-b9d9-85b6fc217d57_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.image compression", "answer": "C"}
{"id": "3ff44945-b19b-4dfe-b0c1-0cdfbd30e8ce", "image_1": "Perception/single/3ff44945-b19b-4dfe-b0c1-0cdfbd30e8ce_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.dead pixel\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "fdf30dd4-0c19-4ed2-bb54-0f804bcb6f55", "image_1": "Perception/single/fdf30dd4-0c19-4ed2-bb54-0f804bcb6f55_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "bc95ef48-80ac-4dcc-b799-d51e0913e216", "image_1": "Perception/single/bc95ef48-80ac-4dcc-b799-d51e0913e216_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.cloud\nB.blur\nC.No distortion\nD.dead pixel", "answer": "D"}
{"id": "3780047e-395f-4dd5-8010-8530e3699885", "image_1": "Perception/single/3780047e-395f-4dd5-8010-8530e3699885_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.image stretching\nC.No distortion\nD.color distortion", "answer": "A"}
{"id": "deb52af9-a371-46eb-b81f-1a558372be7d", "image_1": "Perception/single/deb52af9-a371-46eb-b81f-1a558372be7d_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.image compression\nC.noise\nD.No distortion", "answer": "A"}
{"id": "1c4f8649-f3a2-4db4-8380-9117c8dba020", "image_1": "Perception/single/1c4f8649-f3a2-4db4-8380-9117c8dba020_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "2b7e2922-a3ab-4483-bd0f-5fbb3502598c", "image_1": "Perception/single/2b7e2922-a3ab-4483-bd0f-5fbb3502598c_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.image stretching\nC.dead pixel\nD.cloud", "answer": "C"}
{"id": "44a0d8f4-3f89-4887-a816-d80dc78bc438", "image_1": "Perception/single/44a0d8f4-3f89-4887-a816-d80dc78bc438_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.noise\nD.No distortion", "answer": "D"}
{"id": "24e5a2a4-6bcb-42da-8d4f-14d86a73bbd5", "image_1": "Perception/single/24e5a2a4-6bcb-42da-8d4f-14d86a73bbd5_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.dead pixel\nB.color distortion\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "a0e45db2-3be5-454a-abc7-fb5ca37d3f83", "image_1": "Perception/single/a0e45db2-3be5-454a-abc7-fb5ca37d3f83_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.noise\nC.image stretching\nD.dead pixel", "answer": "D"}
{"id": "7fa1f426-2b4d-4a1d-93e7-84d4eb02cb12", "image_1": "Perception/single/7fa1f426-2b4d-4a1d-93e7-84d4eb02cb12_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.cloud\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "98aec576-9524-42ef-bf3d-e5b1de70e3b0", "image_1": "Perception/single/98aec576-9524-42ef-bf3d-e5b1de70e3b0_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.dead pixel\nC.color distortion\nD.noise", "answer": "B"}
{"id": "0bedbbee-cc64-4313-8e50-fab36e02a9f8", "image_1": "Perception/single/0bedbbee-cc64-4313-8e50-fab36e02a9f8_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.missing tiles\nB.color distortion\nC.dead pixel\nD.image compression", "answer": "C"}
{"id": "00451207-0072-48bd-867e-612e3b7e8522", "image_1": "Perception/single/00451207-0072-48bd-867e-612e3b7e8522_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.dead pixel\nB.No distortion\nC.image stretching\nD.haze", "answer": "A"}
{"id": "beb884a6-0518-408c-8be5-7873d6b382b3", "image_1": "Perception/single/beb884a6-0518-408c-8be5-7873d6b382b3_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.haze\nC.dead pixel\nD.cloud", "answer": "C"}
{"id": "e34d58ac-34f7-41ff-87dd-8fda91223318", "image_1": "Perception/single/e34d58ac-34f7-41ff-87dd-8fda91223318_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.image stretching\nC.blur\nD.dead pixel", "answer": "D"}
{"id": "ad1bffba-d79a-4d07-b5bc-e9f43930bbc2", "image_1": "Perception/single/ad1bffba-d79a-4d07-b5bc-e9f43930bbc2_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.No distortion\nC.haze\nD.blur", "answer": "A"}
{"id": "a4fb7813-b6f2-4262-b9f4-9c05b35c3fb9", "image_1": "Perception/single/a4fb7813-b6f2-4262-b9f4-9c05b35c3fb9_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.color distortion\nC.blur\nD.dead pixel", "answer": "D"}
{"id": "40a87dd1-f477-4a16-b7f7-a921ab215367", "image_1": "Perception/single/40a87dd1-f477-4a16-b7f7-a921ab215367_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.dead pixel\nD.missing tiles", "answer": "C"}
{"id": "4d6b9a7d-bc81-4c3c-81b7-6fdd4921b948", "image_1": "Perception/single/4d6b9a7d-bc81-4c3c-81b7-6fdd4921b948_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.haze\nC.noise\nD.color distortion", "answer": "A"}
{"id": "57c7ff71-43de-4e20-9d1e-876a66484180", "image_1": "Perception/single/57c7ff71-43de-4e20-9d1e-876a66484180_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.missing tiles\nC.dead pixel\nD.haze", "answer": "C"}
{"id": "8f97bc3c-e35f-4d80-929d-8552cb8fc62c", "image_1": "Perception/single/8f97bc3c-e35f-4d80-929d-8552cb8fc62c_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.haze\nC.dead pixel\nD.missing tiles", "answer": "C"}
{"id": "79059022-1a17-4bd8-891a-6572d56621a8", "image_1": "Perception/single/79059022-1a17-4bd8-891a-6572d56621a8_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.cloud\nB.noise\nC.missing tiles\nD.dead pixel", "answer": "D"}
{"id": "06400b05-4014-47af-85ff-5b265374c302", "image_1": "Perception/single/06400b05-4014-47af-85ff-5b265374c302_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.noise\nC.dead pixel\nD.color distortion", "answer": "C"}
{"id": "3fe7c7c6-fe82-440b-a26b-46f3b84ac18f", "image_1": "Perception/single/3fe7c7c6-fe82-440b-a26b-46f3b84ac18f_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.noise\nC.No distortion\nD.dead pixel", "answer": "D"}
{"id": "9b13f6ee-8cd3-48f7-b870-a7934383c83c", "image_1": "Perception/single/9b13f6ee-8cd3-48f7-b870-a7934383c83c_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.color distortion\nC.image compression\nD.dead pixel", "answer": "D"}
{"id": "08044c35-86de-4260-945a-9ee985c97eef", "image_1": "Perception/single/08044c35-86de-4260-945a-9ee985c97eef_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.No distortion\nC.haze\nD.color distortion", "answer": "A"}
{"id": "c7944d40-a33a-4b92-9318-51bd5f4ea26c", "image_1": "Perception/single/c7944d40-a33a-4b92-9318-51bd5f4ea26c_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.dead pixel\nC.color distortion\nD.missing tiles", "answer": "B"}
{"id": "f7894a2d-2e90-4151-bfed-c2d5f4c8f6f4", "image_1": "Perception/single/f7894a2d-2e90-4151-bfed-c2d5f4c8f6f4_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.missing tiles\nC.No distortion\nD.dead pixel", "answer": "D"}
{"id": "e5469438-aabf-4cdb-a1ef-f96717b0f965", "image_1": "Perception/single/e5469438-aabf-4cdb-a1ef-f96717b0f965_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.image compression\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "2a400561-c13a-40d1-835d-bdda01196854", "image_1": "Perception/single/2a400561-c13a-40d1-835d-bdda01196854_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.dead pixel\nB.noise\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "689b44fa-6bfa-43b1-a705-8f393d4519f1", "image_1": "Perception/single/689b44fa-6bfa-43b1-a705-8f393d4519f1_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.image compression\nC.blur\nD.dead pixel", "answer": "D"}
{"id": "2e692065-779a-4c1a-a479-5e7a8810bee5", "image_1": "Perception/single/2e692065-779a-4c1a-a479-5e7a8810bee5_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.image stretching\nC.dead pixel\nD.image compression", "answer": "C"}
{"id": "14598995-5b34-4d0b-b6f6-0042197cdb6b", "image_1": "Perception/single/14598995-5b34-4d0b-b6f6-0042197cdb6b_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.noise\nC.haze\nD.dead pixel", "answer": "D"}
{"id": "e052b4e3-aa21-456c-a3bc-d67e96eb100d", "image_1": "Perception/single/e052b4e3-aa21-456c-a3bc-d67e96eb100d_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.cloud\nC.blur\nD.dead pixel", "answer": "D"}
{"id": "d14404d1-8553-41f4-a877-acf41fac79d4", "image_1": "Perception/single/d14404d1-8553-41f4-a877-acf41fac79d4_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.dead pixel\nC.image compression\nD.haze", "answer": "B"}
{"id": "7e9e8aca-6cf1-431b-b86a-a84cc1ea3412", "image_1": "Perception/single/7e9e8aca-6cf1-431b-b86a-a84cc1ea3412_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.dead pixel\nC.noise\nD.blur", "answer": "B"}
{"id": "b4af3ad6-cf76-42ff-82e3-826cab7b9a1f", "image_1": "Perception/single/b4af3ad6-cf76-42ff-82e3-826cab7b9a1f_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.noise\nC.dead pixel\nD.color distortion", "answer": "C"}
{"id": "415eb35e-3022-40b2-a871-cf9953d0dd44", "image_1": "Perception/single/415eb35e-3022-40b2-a871-cf9953d0dd44_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.No distortion\nB.haze\nC.color distortion\nD.image compression", "answer": "A"}
{"id": "4079f58d-4507-4b3c-8f7d-f4f50d1428cf", "image_1": "Perception/single/4079f58d-4507-4b3c-8f7d-f4f50d1428cf_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "13d1eda2-1107-450c-b68b-c02002ec890c", "image_1": "Perception/single/13d1eda2-1107-450c-b68b-c02002ec890c_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.missing tiles\nC.dead pixel\nD.color distortion", "answer": "C"}
{"id": "84a67462-c380-4dcf-ae53-5f1d37b6cf5b", "image_1": "Perception/single/84a67462-c380-4dcf-ae53-5f1d37b6cf5b_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.dead pixel\nC.No distortion\nD.cloud", "answer": "B"}
{"id": "3c7624cf-5548-4217-9002-bc8b6b8d69ab", "image_1": "Perception/single/3c7624cf-5548-4217-9002-bc8b6b8d69ab_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "A"}
{"id": "c6e15595-33d0-4752-8d38-a9e2bb1ac4ea", "image_1": "Perception/single/c6e15595-33d0-4752-8d38-a9e2bb1ac4ea_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.haze\nC.image stretching\nD.dead pixel", "answer": "D"}
{"id": "6059a1b1-1162-4eb7-b13c-446f45a4f394", "image_1": "Perception/single/6059a1b1-1162-4eb7-b13c-446f45a4f394_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.image stretching\nC.color distortion\nD.No distortion", "answer": "A"}
{"id": "a735f82a-897b-4d81-874e-8b0341d9fd3f", "image_1": "Perception/single/a735f82a-897b-4d81-874e-8b0341d9fd3f_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.dead pixel\nD.image compression", "answer": "C"}
{"id": "25e6ac9b-5e1f-458e-a9a4-42baab15f4c1", "image_1": "Perception/single/25e6ac9b-5e1f-458e-a9a4-42baab15f4c1_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.No distortion\nC.cloud\nD.noise", "answer": "A"}
{"id": "3244b428-dc61-41d6-8d36-f27857b98edd", "image_1": "Perception/single/3244b428-dc61-41d6-8d36-f27857b98edd_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.missing tiles\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "a3d75a53-7e61-4b25-9dc4-a5dd29e57384", "image_1": "Perception/single/a3d75a53-7e61-4b25-9dc4-a5dd29e57384_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.blur\nC.dead pixel\nD.noise", "answer": "C"}
{"id": "fffaaf61-a239-41a4-88c5-f80300a2c509", "image_1": "Perception/single/fffaaf61-a239-41a4-88c5-f80300a2c509_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.cloud\nC.missing tiles\nD.image compression", "answer": "C"}
{"id": "9bf7130d-cd3d-469d-8e3c-55b1966a1e3a", "image_1": "Perception/single/9bf7130d-cd3d-469d-8e3c-55b1966a1e3a_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image compression\nC.haze\nD.missing tiles", "answer": "D"}
{"id": "c3968d31-28f2-4836-842f-0a570097f0c4", "image_1": "Perception/single/c3968d31-28f2-4836-842f-0a570097f0c4_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.image compression\nC.missing tiles\nD.noise", "answer": "C"}
{"id": "aaa3d8d9-58ee-4d11-8437-78985e5dc935", "image_1": "Perception/single/aaa3d8d9-58ee-4d11-8437-78985e5dc935_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.dead pixel\nC.image compression\nD.noise", "answer": "A"}
{"id": "60a3bc04-4f22-4e79-9198-bbf618521b0c", "image_1": "Perception/single/60a3bc04-4f22-4e79-9198-bbf618521b0c_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.image compression\nC.No distortion\nD.missing tiles", "answer": "D"}
{"id": "67725c9b-0f49-428e-ae21-5a03ca518722", "image_1": "Perception/single/67725c9b-0f49-428e-ae21-5a03ca518722_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.noise\nC.cloud\nD.missing tiles", "answer": "D"}
{"id": "6a75d2fe-7958-48ee-8df2-61fb6be7371f", "image_1": "Perception/single/6a75d2fe-7958-48ee-8df2-61fb6be7371f_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.color distortion\nC.cloud\nD.blur", "answer": "A"}
{"id": "d5876a08-b301-46bb-8192-8885c5f58262", "image_1": "Perception/single/d5876a08-b301-46bb-8192-8885c5f58262_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.missing tiles\nC.noise\nD.blur", "answer": "B"}
{"id": "7c3da835-88ce-48ba-a69c-a503d02cb1f6", "image_1": "Perception/single/7c3da835-88ce-48ba-a69c-a503d02cb1f6_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.blur\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "8dc1bcea-8d50-4355-9100-680cc2c0e223", "image_1": "Perception/single/8dc1bcea-8d50-4355-9100-680cc2c0e223_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.missing tiles\nC.blur\nD.image stretching", "answer": "B"}
{"id": "0a3f7853-dd44-4484-b34c-9aecaa805f0c", "image_1": "Perception/single/0a3f7853-dd44-4484-b34c-9aecaa805f0c_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.missing tiles\nB.No distortion\nC.image stretching\nD.blur", "answer": "A"}
{"id": "d97432e6-d804-4448-b65f-5cbbf2ebd075", "image_1": "Perception/single/d97432e6-d804-4448-b65f-5cbbf2ebd075_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.noise\nD.missing tiles", "answer": "D"}
{"id": "9ed5ba79-e943-4182-b2d0-0685b3824bb3", "image_1": "Perception/single/9ed5ba79-e943-4182-b2d0-0685b3824bb3_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.cloud\nB.blur\nC.missing tiles\nD.No distortion", "answer": "C"}
{"id": "729440cb-ebd3-4175-9556-a5488c919a5e", "image_1": "Perception/single/729440cb-ebd3-4175-9556-a5488c919a5e_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.image stretching\nC.missing tiles\nD.haze", "answer": "C"}
{"id": "560047d8-fd89-4bd0-b48f-1755b8cbbbac", "image_1": "Perception/single/560047d8-fd89-4bd0-b48f-1755b8cbbbac_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.missing tiles\nB.blur\nC.noise\nD.color distortion", "answer": "A"}
{"id": "1a170ee6-bffb-4152-8052-97dc24bb7602", "image_1": "Perception/single/1a170ee6-bffb-4152-8052-97dc24bb7602_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.haze\nC.blur\nD.image compression", "answer": "A"}
{"id": "7fb71d67-1ba4-4464-be8f-394ec60dcfb1", "image_1": "Perception/single/7fb71d67-1ba4-4464-be8f-394ec60dcfb1_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.color distortion\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "6471009c-186a-4aef-bd43-881fa7b27dca", "image_1": "Perception/single/6471009c-186a-4aef-bd43-881fa7b27dca_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.blur\nC.missing tiles\nD.cloud", "answer": "C"}
{"id": "9626e073-efb9-4441-a622-918259455fe9", "image_1": "Perception/single/9626e073-efb9-4441-a622-918259455fe9_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.haze", "answer": "B"}
{"id": "c3c4dec2-27da-45d7-9f12-e1cf80726682", "image_1": "Perception/single/c3c4dec2-27da-45d7-9f12-e1cf80726682_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.color distortion\nC.No distortion\nD.blur", "answer": "C"}
{"id": "6eef17af-062c-46a2-b281-6d396d7e0780", "image_1": "Perception/single/6eef17af-062c-46a2-b281-6d396d7e0780_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.missing tiles\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "a9ef42a6-5dce-4169-961d-60e11488d528", "image_1": "Perception/single/a9ef42a6-5dce-4169-961d-60e11488d528_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.cloud\nC.blur\nD.missing tiles", "answer": "D"}
{"id": "f8782ed5-2f6d-4179-84d7-2d40f9c39023", "image_1": "Perception/single/f8782ed5-2f6d-4179-84d7-2d40f9c39023_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.color distortion\nC.No distortion\nD.haze", "answer": "C"}
{"id": "2b6c5fe0-4124-41ea-b3c1-bf4578cb86b4", "image_1": "Perception/single/2b6c5fe0-4124-41ea-b3c1-bf4578cb86b4_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.missing tiles\nB.blur\nC.color distortion\nD.cloud", "answer": "A"}
{"id": "40df72f6-46d9-4cc6-8e04-428884ee33e7", "image_1": "Perception/single/40df72f6-46d9-4cc6-8e04-428884ee33e7_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.haze\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "40f24df0-0d13-4013-bbc3-d951063a3ba0", "image_1": "Perception/single/40f24df0-0d13-4013-bbc3-d951063a3ba0_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "091a610d-6a97-4e3c-bee4-ab1ddec939fd", "image_1": "Perception/single/091a610d-6a97-4e3c-bee4-ab1ddec939fd_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.image stretching\nD.missing tiles", "answer": "D"}
{"id": "84fb0b0a-b0e1-4238-aeb7-d7935ff6b6f6", "image_1": "Perception/single/84fb0b0a-b0e1-4238-aeb7-d7935ff6b6f6_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.No distortion\nC.missing tiles\nD.dead pixel", "answer": "C"}
{"id": "e027c97b-464b-433f-a91f-8456c9f018ef", "image_1": "Perception/single/e027c97b-464b-433f-a91f-8456c9f018ef_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.haze\nC.missing tiles\nD.color distortion", "answer": "C"}
{"id": "025095cf-491c-4cc6-a3b2-3fff2f8c2e3c", "image_1": "Perception/single/025095cf-491c-4cc6-a3b2-3fff2f8c2e3c_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.missing tiles\nC.color distortion\nD.No distortion", "answer": "B"}
{"id": "912f6cb3-1885-41a2-abbd-4f868af6de39", "image_1": "Perception/single/912f6cb3-1885-41a2-abbd-4f868af6de39_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.noise\nC.missing tiles\nD.color distortion", "answer": "C"}
{"id": "4ac1d732-d469-4c47-bce6-10365310bea4", "image_1": "Perception/single/4ac1d732-d469-4c47-bce6-10365310bea4_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.No distortion\nC.missing tiles\nD.blur", "answer": "C"}
{"id": "fba78ba7-7aa4-4f21-a357-905d719e330e", "image_1": "Perception/single/fba78ba7-7aa4-4f21-a357-905d719e330e_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.blur\nC.image stretching\nD.missing tiles", "answer": "D"}
{"id": "a826487f-ac56-402f-b718-11081e3cb15d", "image_1": "Perception/single/a826487f-ac56-402f-b718-11081e3cb15d_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.missing tiles\nC.No distortion\nD.image stretching", "answer": "B"}
{"id": "c1f785b5-42f4-422b-9ca3-f86d49a93b71", "image_1": "Perception/single/c1f785b5-42f4-422b-9ca3-f86d49a93b71_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.dead pixel\nC.image compression\nD.missing tiles", "answer": "D"}
{"id": "7f8e279b-2221-42da-90bd-60bfa6cb765b", "image_1": "Perception/single/7f8e279b-2221-42da-90bd-60bfa6cb765b_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.color distortion\nC.No distortion\nD.noise", "answer": "C"}
{"id": "8b3399cc-b290-4505-8e00-cce710b35072", "image_1": "Perception/single/8b3399cc-b290-4505-8e00-cce710b35072_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.cloud\nB.No distortion\nC.image compression\nD.missing tiles", "answer": "D"}
{"id": "1ef70b78-2a80-462c-a9e3-814b90f0108c", "image_1": "Perception/single/1ef70b78-2a80-462c-a9e3-814b90f0108c_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.cloud\nB.haze\nC.missing tiles\nD.image compression", "answer": "C"}
{"id": "383fb7ea-41e4-4d06-b90c-7ad4edf6c23e", "image_1": "Perception/single/383fb7ea-41e4-4d06-b90c-7ad4edf6c23e_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.missing tiles\nC.noise\nD.blur", "answer": "B"}
{"id": "081f9d6a-1ee9-48b1-bfad-22924a2df8ec", "image_1": "Perception/single/081f9d6a-1ee9-48b1-bfad-22924a2df8ec_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.missing tiles\nC.image compression\nD.blur", "answer": "B"}
{"id": "28298a70-cc68-4b9c-b630-cf4395c90a8a", "image_1": "Perception/single/28298a70-cc68-4b9c-b630-cf4395c90a8a_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.missing tiles\nB.image stretching\nC.cloud\nD.No distortion", "answer": "A"}
{"id": "f9671f50-57d5-443f-9f6e-46f38d18f0b2", "image_1": "Perception/single/f9671f50-57d5-443f-9f6e-46f38d18f0b2_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.missing tiles\nC.blur\nD.image compression", "answer": "B"}
{"id": "a564e88b-d606-4571-9c5d-102b3fe92165", "image_1": "Perception/single/a564e88b-d606-4571-9c5d-102b3fe92165_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image stretching\nC.missing tiles\nD.No distortion", "answer": "C"}
{"id": "e558829f-a41f-4a9b-8803-ab4c1e20aaca", "image_1": "Perception/single/e558829f-a41f-4a9b-8803-ab4c1e20aaca_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.noise\nC.dead pixel\nD.No distortion", "answer": "A"}
{"id": "b6be9139-3993-4c28-b229-972d30b48383", "image_1": "Perception/single/b6be9139-3993-4c28-b229-972d30b48383_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.image compression\nC.noise\nD.missing tiles", "answer": "D"}
{"id": "8ee73e96-d045-41ee-ad82-9f14a6c3c63b", "image_1": "Perception/single/8ee73e96-d045-41ee-ad82-9f14a6c3c63b_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.missing tiles\nC.haze\nD.dead pixel", "answer": "B"}
{"id": "e4a07704-4e45-4bfd-89bf-73da06a1d45c", "image_1": "Perception/single/e4a07704-4e45-4bfd-89bf-73da06a1d45c_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.No distortion\nC.dead pixel\nD.haze", "answer": "B"}
{"id": "2963b4d0-da28-4499-996b-0c66f34fa006", "image_1": "Perception/single/2963b4d0-da28-4499-996b-0c66f34fa006_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image compression\nC.color distortion\nD.No distortion", "answer": "D"}
{"id": "acf2be0b-8d1f-4ab9-ada6-94a76411d144", "image_1": "Perception/single/acf2be0b-8d1f-4ab9-ada6-94a76411d144_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.No distortion\nC.haze\nD.cloud", "answer": "B"}
{"id": "6934a295-12a0-42f1-9e44-974959eb119d", "image_1": "Perception/single/6934a295-12a0-42f1-9e44-974959eb119d_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.cloud\nC.blur\nD.No distortion", "answer": "D"}
{"id": "f32fea34-64a9-4e3b-abb1-c78ae00c4d76", "image_1": "Perception/single/f32fea34-64a9-4e3b-abb1-c78ae00c4d76_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.missing tiles\nD.image compression", "answer": "C"}
{"id": "62883902-2a2f-43e4-acb1-b7c9ba0751e9", "image_1": "Perception/single/62883902-2a2f-43e4-acb1-b7c9ba0751e9_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.missing tiles\nC.blur\nD.dead pixel", "answer": "B"}
{"id": "72de8e3a-ef16-4627-af00-1a18bf64faf3", "image_1": "Perception/single/72de8e3a-ef16-4627-af00-1a18bf64faf3_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "D"}
{"id": "292a6a05-fe4a-4682-bbe4-dc931f2e2ea2", "image_1": "Perception/single/292a6a05-fe4a-4682-bbe4-dc931f2e2ea2_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.cloud\nB.blur\nC.No distortion\nD.missing tiles", "answer": "D"}
{"id": "e30ddd9c-d3a8-4f20-b15c-839d9530c48c", "image_1": "Perception/single/e30ddd9c-d3a8-4f20-b15c-839d9530c48c_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.missing tiles\nB.image stretching\nC.No distortion\nD.color distortion", "answer": "A"}
{"id": "1efcc9c5-a198-4f6e-a123-c6c7db592dce", "image_1": "Perception/single/1efcc9c5-a198-4f6e-a123-c6c7db592dce_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.image compression\nC.noise\nD.No distortion", "answer": "A"}
{"id": "3f7631d6-1e8f-4949-aeb5-a6fa503eeb3f", "image_1": "Perception/single/3f7631d6-1e8f-4949-aeb5-a6fa503eeb3f_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "ce2a0391-13ee-464c-8b57-10911f8db935", "image_1": "Perception/single/ce2a0391-13ee-464c-8b57-10911f8db935_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.image stretching\nC.missing tiles\nD.cloud", "answer": "C"}
{"id": "53aa5c9e-e43a-44ee-ad8f-018835beceb0", "image_1": "Perception/single/53aa5c9e-e43a-44ee-ad8f-018835beceb0_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.No distortion\nC.noise\nD.missing tiles", "answer": "D"}
{"id": "301eaedf-0bed-4bcc-b652-59818d16c89e", "image_1": "Perception/single/301eaedf-0bed-4bcc-b652-59818d16c89e_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.color distortion\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "e4513e8a-097f-4147-9ab2-7d787e97f037", "image_1": "Perception/single/e4513e8a-097f-4147-9ab2-7d787e97f037_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.noise\nC.image stretching\nD.missing tiles", "answer": "D"}
{"id": "d7fabd5a-335a-46a9-abb0-b4c8d698b5e8", "image_1": "Perception/single/d7fabd5a-335a-46a9-abb0-b4c8d698b5e8_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.missing tiles\nB.cloud\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "e9df0dfd-45e5-4bdf-a757-7f96b030e6c4", "image_1": "Perception/single/e9df0dfd-45e5-4bdf-a757-7f96b030e6c4_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.missing tiles\nC.color distortion\nD.noise", "answer": "B"}
{"id": "4aeb1e22-8ee1-4868-a744-bdab5f9286f1", "image_1": "Perception/single/4aeb1e22-8ee1-4868-a744-bdab5f9286f1_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.color distortion\nC.missing tiles\nD.image compression", "answer": "C"}
{"id": "a05b03fb-cd6a-4e3b-8078-39122e1980a5", "image_1": "Perception/single/a05b03fb-cd6a-4e3b-8078-39122e1980a5_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.missing tiles\nB.No distortion\nC.image stretching\nD.haze", "answer": "A"}
{"id": "32bdd6fa-a84b-484d-9128-b870e7174f82", "image_1": "Perception/single/32bdd6fa-a84b-484d-9128-b870e7174f82_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.haze\nC.missing tiles\nD.cloud", "answer": "C"}
{"id": "708a2ad8-eea3-46a9-8854-68e9f041787c", "image_1": "Perception/single/708a2ad8-eea3-46a9-8854-68e9f041787c_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.image stretching\nC.blur\nD.missing tiles", "answer": "D"}
{"id": "a2ab1956-4e8f-4514-9ddc-e249d77995e2", "image_1": "Perception/single/a2ab1956-4e8f-4514-9ddc-e249d77995e2_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.missing tiles\nB.No distortion\nC.haze\nD.blur", "answer": "A"}
{"id": "a58a173d-34bf-4045-963e-40fb1fdb9991", "image_1": "Perception/single/a58a173d-34bf-4045-963e-40fb1fdb9991_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.color distortion\nC.blur\nD.No distortion", "answer": "D"}
{"id": "8efe9b26-0a57-48bc-9b2f-c6174c55eb49", "image_1": "Perception/single/8efe9b26-0a57-48bc-9b2f-c6174c55eb49_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.missing tiles\nD.dead pixel", "answer": "C"}
{"id": "9f26c64d-b239-4fc1-9bc5-b5d902f7618f", "image_1": "Perception/single/9f26c64d-b239-4fc1-9bc5-b5d902f7618f_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.haze\nC.noise\nD.color distortion", "answer": "A"}
{"id": "1cea08e5-a14f-4f91-86da-f0433037d55e", "image_1": "Perception/single/1cea08e5-a14f-4f91-86da-f0433037d55e_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.dead pixel\nC.missing tiles\nD.haze", "answer": "C"}
{"id": "616660a5-2cc4-47fb-81f5-ac0ef1372232", "image_1": "Perception/single/616660a5-2cc4-47fb-81f5-ac0ef1372232_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.haze\nC.missing tiles\nD.dead pixel", "answer": "C"}
{"id": "46f68f27-0855-4c6b-ab0d-755c1c67ce16", "image_1": "Perception/single/46f68f27-0855-4c6b-ab0d-755c1c67ce16_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.cloud\nB.noise\nC.dead pixel\nD.missing tiles", "answer": "D"}
{"id": "6a539ec8-991a-401e-9530-2ac98d35c43f", "image_1": "Perception/single/6a539ec8-991a-401e-9530-2ac98d35c43f_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.missing tiles\nD.color distortion", "answer": "C"}
{"id": "9b9a9597-2eda-41b2-8a30-125bd0b09235", "image_1": "Perception/single/9b9a9597-2eda-41b2-8a30-125bd0b09235_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.noise\nC.No distortion\nD.missing tiles", "answer": "D"}
{"id": "07ba67e7-16a7-4cdf-83ad-818eb9b0154e", "image_1": "Perception/single/07ba67e7-16a7-4cdf-83ad-818eb9b0154e_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.color distortion\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "e2bbb555-baa0-45eb-a758-7b955ec9560a", "image_1": "Perception/single/e2bbb555-baa0-45eb-a758-7b955ec9560a_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.dead pixel\nC.haze\nD.color distortion", "answer": "A"}
{"id": "4110a807-e383-44a8-82c9-b2174271c30c", "image_1": "Perception/single/4110a807-e383-44a8-82c9-b2174271c30c_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.missing tiles\nC.color distortion\nD.dead pixel", "answer": "B"}
{"id": "76af7a31-36b4-4a8e-946f-4dc82d7565ab", "image_1": "Perception/single/76af7a31-36b4-4a8e-946f-4dc82d7565ab_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.missing tiles\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "9f5af249-9c5b-4075-8d8d-7819aed3e368", "image_1": "Perception/single/9f5af249-9c5b-4075-8d8d-7819aed3e368_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.missing tiles\nB.image compression\nC.haze\nD.dead pixel", "answer": "A"}
{"id": "4f856193-dbb1-4814-9427-3a93ca001428", "image_1": "Perception/single/4f856193-dbb1-4814-9427-3a93ca001428_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.missing tiles\nB.noise\nC.haze\nD.dead pixel", "answer": "A"}
{"id": "a3995e31-d1fa-4f8a-bdff-da3f4b5f0218", "image_1": "Perception/single/a3995e31-d1fa-4f8a-bdff-da3f4b5f0218_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.image compression\nC.blur\nD.missing tiles", "answer": "D"}
{"id": "d0d1a468-430e-4252-97b1-dccf6aa58124", "image_1": "Perception/single/d0d1a468-430e-4252-97b1-dccf6aa58124_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.image stretching\nC.missing tiles\nD.image compression", "answer": "C"}
{"id": "7e4381af-68d5-4227-b812-557afd57971a", "image_1": "Perception/single/7e4381af-68d5-4227-b812-557afd57971a_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.haze\nD.missing tiles", "answer": "D"}
{"id": "e3575f0e-894f-4e7a-9db7-2d8baba83d15", "image_1": "Perception/single/e3575f0e-894f-4e7a-9db7-2d8baba83d15_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.cloud\nC.blur\nD.missing tiles", "answer": "D"}
{"id": "5f697c7e-eb62-4754-bb68-b66135e3585c", "image_1": "Perception/single/5f697c7e-eb62-4754-bb68-b66135e3585c_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.No distortion\nC.image compression\nD.haze", "answer": "B"}
{"id": "c86e6a22-b6d9-4c09-9c9c-d35a0c1702aa", "image_1": "Perception/single/c86e6a22-b6d9-4c09-9c9c-d35a0c1702aa_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.missing tiles\nC.noise\nD.blur", "answer": "B"}
{"id": "e39bfa0d-80d2-4ece-a188-fe42aef15866", "image_1": "Perception/single/e39bfa0d-80d2-4ece-a188-fe42aef15866_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.noise\nC.missing tiles\nD.color distortion", "answer": "C"}
{"id": "9d41589d-7cce-4766-9ac0-6219a08416f2", "image_1": "Perception/single/9d41589d-7cce-4766-9ac0-6219a08416f2_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.No distortion\nB.haze\nC.color distortion\nD.image compression", "answer": "A"}
{"id": "dc67ab7d-81e6-4321-a398-c5a74ea773fd", "image_1": "Perception/single/dc67ab7d-81e6-4321-a398-c5a74ea773fd_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.missing tiles\nB.color distortion\nC.noise\nD.dead pixel", "answer": "A"}
{"id": "ef6d9799-fd53-4c37-8cfd-b459854acd33", "image_1": "Perception/single/ef6d9799-fd53-4c37-8cfd-b459854acd33_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.dead pixel\nC.missing tiles\nD.color distortion", "answer": "C"}
{"id": "d67c0987-137e-4843-8775-0cf258c86e28", "image_1": "Perception/single/d67c0987-137e-4843-8775-0cf258c86e28_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.missing tiles\nC.No distortion\nD.cloud", "answer": "B"}
{"id": "ff8ef9c7-5e11-4403-a1d5-ca890539e3b7", "image_1": "Perception/single/ff8ef9c7-5e11-4403-a1d5-ca890539e3b7_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.missing tiles\nB.dead pixel\nC.No distortion\nD.noise", "answer": "A"}
{"id": "46b93b5b-dc3b-4165-ac26-8b9756e23237", "image_1": "Perception/single/46b93b5b-dc3b-4165-ac26-8b9756e23237_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.haze\nC.image stretching\nD.missing tiles", "answer": "D"}
{"id": "d7b12c52-352e-4adf-8a7a-5a6a05d4ac49", "image_1": "Perception/single/d7b12c52-352e-4adf-8a7a-5a6a05d4ac49_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.image stretching\nC.color distortion\nD.No distortion", "answer": "A"}
{"id": "f1c73da0-a369-4ccf-9457-f1044c74231b", "image_1": "Perception/single/f1c73da0-a369-4ccf-9457-f1044c74231b_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.missing tiles\nD.image compression", "answer": "C"}
{"id": "862e496a-85aa-48da-b515-2364f6db80a9", "image_1": "Perception/single/862e496a-85aa-48da-b515-2364f6db80a9_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.No distortion\nC.cloud\nD.noise", "answer": "A"}
{"id": "4d157b98-70b3-4473-bf15-588e9608b7b4", "image_1": "Perception/single/4d157b98-70b3-4473-bf15-588e9608b7b4_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.dead pixel\nC.missing tiles\nD.cloud", "answer": "C"}
{"id": "5ba9c57e-7119-4602-a23e-c7be8f4fb68d", "image_1": "Perception/single/5ba9c57e-7119-4602-a23e-c7be8f4fb68d_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.blur\nC.missing tiles\nD.noise", "answer": "C"}
{"id": "92f242ae-d3bc-4072-9b81-355ee749194a", "image_1": "Perception/single/92f242ae-d3bc-4072-9b81-355ee749194a_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. motion blur\nB. image stretching\nC. gaussian noise\nD. image compression", "answer": "A,D"}
{"id": "c1ae2fb4-2846-4d50-b267-077d16612595", "image_1": "Perception/single/c1ae2fb4-2846-4d50-b267-077d16612595_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. cloud\nB. image stretching\nC. motion blur\nD. spatially correlated noise", "answer": "B,D"}
{"id": "e7f52842-c021-4675-9ac0-ffe2f53a62b1", "image_1": "Perception/single/e7f52842-c021-4675-9ac0-ffe2f53a62b1_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. spatially correlated noise\nB. color distortion\nC. dead pixel\nD. stripe noise", "answer": "B,C"}
{"id": "93f23abf-eae0-4f31-b158-b4deaf9568d2", "image_1": "Perception/single/93f23abf-eae0-4f31-b158-b4deaf9568d2_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. color distortion\nB. stripe noise\nC. image compression\nD. gaussian blur", "answer": "C,D"}
{"id": "593d452f-1231-48e7-9149-be79b29a1cb9", "image_1": "Perception/single/593d452f-1231-48e7-9149-be79b29a1cb9_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. gaussian blur\nB. color distortion\nC. image compression\nD. missing tiles", "answer": "B,D"}
{"id": "179bc356-aa99-4874-9493-026251440988", "image_1": "Perception/single/179bc356-aa99-4874-9493-026251440988_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. missing tiles\nB. stripe noise\nC. dead pixel\nD. haze", "answer": "A,D"}
{"id": "9f90794d-a020-401a-9d42-dc588f08f65c", "image_1": "Perception/single/9f90794d-a020-401a-9d42-dc588f08f65c_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. image stretching\nB. spatially correlated noise\nC. gaussian blur\nD. image compression", "answer": "A,D"}
{"id": "5a05cded-51ef-4098-94c1-c8eab8d31c7f", "image_1": "Perception/single/5a05cded-51ef-4098-94c1-c8eab8d31c7f_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. deadline noise\nB. spatially correlated noise\nC. haze\nD. missing tiles", "answer": "C,D"}
{"id": "148856c5-8ef0-46a7-81d2-300f9e7721ed", "image_1": "Perception/single/148856c5-8ef0-46a7-81d2-300f9e7721ed_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. image stretching\nB. motion blur\nC. color distortion\nD. haze", "answer": "A,D"}
{"id": "c2c8904f-2b95-4a64-9303-a4eec947a384", "image_1": "Perception/single/c2c8904f-2b95-4a64-9303-a4eec947a384_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. image compression\nB. cloud\nC. color distortion\nD. impulse noise", "answer": "A,B"}
{"id": "c09608af-11c0-40af-ac05-59bbbaa766f3", "image_1": "Perception/single/c09608af-11c0-40af-ac05-59bbbaa766f3_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. impulse noise\nB. cloud\nC. deadline noise\nD. gaussian blur", "answer": "B,D"}
{"id": "718186e0-cc83-4add-b9b2-3876e7efa737", "image_1": "Perception/single/718186e0-cc83-4add-b9b2-3876e7efa737_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. deadline noise\nB. motion blur\nC. cloud\nD. gaussian blur", "answer": "C,D"}
{"id": "92189fe0-dabd-468a-9ed4-104880e56c03", "image_1": "Perception/single/92189fe0-dabd-468a-9ed4-104880e56c03_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. gaussian blur\nB. dead pixel\nC. impulse noise\nD. cloud", "answer": "B,D"}
{"id": "44fea6a5-5ad7-4609-86df-69bddb4ca430", "image_1": "Perception/single/44fea6a5-5ad7-4609-86df-69bddb4ca430_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. dead pixel\nB. stripe noise\nC. color distortion\nD. deadline noise", "answer": "A,C"}
{"id": "7ae83432-3661-4783-a0c9-7ac5eeb468ae", "image_1": "Perception/single/7ae83432-3661-4783-a0c9-7ac5eeb468ae_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. motion blur\nB. color distortion\nC. spatially correlated noise\nD. haze", "answer": "B,C"}
{"id": "f78c3cdb-147d-4c7c-a2a4-bde4d3a3680f", "image_1": "Perception/single/f78c3cdb-147d-4c7c-a2a4-bde4d3a3680f_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. color distortion\nB. missing tiles\nC. image compression\nD. stripe noise", "answer": "A,D"}
{"id": "2e3ec826-2a1d-48d9-9adb-64e2ee0b94be", "image_1": "Perception/single/2e3ec826-2a1d-48d9-9adb-64e2ee0b94be_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. image stretching\nB. color distortion\nC. stripe noise\nD. dead pixel", "answer": "A,C"}
{"id": "945b4140-6b4c-4a52-a02b-31629daf4c85", "image_1": "Perception/single/945b4140-6b4c-4a52-a02b-31629daf4c85_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. gaussian blur\nB. dead pixel\nC. cloud\nD. image compression", "answer": "B,C"}
{"id": "f5d9df0a-db44-4a7e-8eba-bfa4c34886eb", "image_1": "Perception/single/f5d9df0a-db44-4a7e-8eba-bfa4c34886eb_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. gaussian blur\nB. image stretching\nC. haze\nD. gaussian noise", "answer": "A,B"}
{"id": "abef87bd-8cd9-45d8-b2dd-334a002f2bcb", "image_1": "Perception/single/abef87bd-8cd9-45d8-b2dd-334a002f2bcb_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. image stretching\nB. missing tiles\nC. stripe noise\nD. impulse noise", "answer": "A,B"}
{"id": "1cbac1b3-2575-4e46-85c3-51abae8b233b", "image_1": "Perception/single/1cbac1b3-2575-4e46-85c3-51abae8b233b_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. gaussian blur\nB. gaussian noise\nC. dead pixel\nD. image compression", "answer": "B,D"}
{"id": "7315555d-621e-4233-834e-dd2e54e9fbbc", "image_1": "Perception/single/7315555d-621e-4233-834e-dd2e54e9fbbc_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. color distortion\nB. gaussian blur\nC. missing tiles\nD. cloud", "answer": "C,D"}
{"id": "42d8e088-904b-4fa8-95fd-04a1c5c9605b", "image_1": "Perception/single/42d8e088-904b-4fa8-95fd-04a1c5c9605b_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. haze\nB. impulse noise\nC. missing tiles\nD. gaussian blur", "answer": "A,C"}
{"id": "c7d5fab0-1e39-42a3-8c90-93009cb39028", "image_1": "Perception/single/c7d5fab0-1e39-42a3-8c90-93009cb39028_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. gaussian noise\nB. image compression\nC. stripe noise\nD. missing tiles", "answer": "A,B"}
{"id": "c853ef2a-f959-4107-83ae-49a6ae649343", "image_1": "Perception/single/c853ef2a-f959-4107-83ae-49a6ae649343_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. spatially correlated noise\nB. deadline noise\nC. haze\nD. missing tiles", "answer": "C,D"}
{"id": "7e8490e3-91ec-403a-a784-1ba991c999f8", "image_1": "Perception/single/7e8490e3-91ec-403a-a784-1ba991c999f8_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. haze\nB. cloud\nC. dead pixel\nD. spatially correlated noise", "answer": "A,C"}
{"id": "c6e3322d-33f8-4799-a3b0-08f66045f644", "image_1": "Perception/single/c6e3322d-33f8-4799-a3b0-08f66045f644_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. gaussian blur\nB. image compression\nC. image stretching\nD. color distortion", "answer": "A,C"}
{"id": "7ce1b2e9-6cb1-4043-ae73-37b7d842692e", "image_1": "Perception/single/7ce1b2e9-6cb1-4043-ae73-37b7d842692e_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. image compression\nB. impulse noise\nC. motion blur\nD. dead pixel", "answer": "A,C"}
{"id": "6a578c70-c5c0-4bbd-becd-1ee08996af0a", "image_1": "Perception/single/6a578c70-c5c0-4bbd-becd-1ee08996af0a_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. image stretching\nB. missing tiles\nC. dead pixel\nD. image compression", "answer": "A,C"}
{"id": "e62eb858-22a7-4c00-b4ee-7bac9dd55e97", "image_1": "Perception/single/e62eb858-22a7-4c00-b4ee-7bac9dd55e97_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. motion blur\nB. color distortion\nC. image stretching\nD. gaussian noise", "answer": "A,C"}
{"id": "575de35d-0a1b-4ae8-99b2-60543b505196", "image_1": "Perception/single/575de35d-0a1b-4ae8-99b2-60543b505196_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. motion blur\nB. stripe noise\nC. color distortion\nD. spatially correlated noise", "answer": "A,C"}
{"id": "3a14490a-769c-4ade-9607-f31f9c51c04d", "image_1": "Perception/single/3a14490a-769c-4ade-9607-f31f9c51c04d_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. image stretching\nB. missing tiles\nC. stripe noise\nD. image compression", "answer": "A,D"}
{"id": "199bd040-6c80-4e88-8085-f8ef01bbc2d6", "image_1": "Perception/single/199bd040-6c80-4e88-8085-f8ef01bbc2d6_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. cloud\nB. missing tiles\nC. haze\nD. deadline noise", "answer": "A,B"}
{"id": "46c059c8-7b1f-40a1-ae01-493d743ba750", "image_1": "Perception/single/46c059c8-7b1f-40a1-ae01-493d743ba750_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. cloud\nB. stripe noise\nC. image compression\nD. deadline noise", "answer": "C,D"}
{"id": "2b5c43d5-b47a-40d8-8b87-579a035c135f", "image_1": "Perception/single/2b5c43d5-b47a-40d8-8b87-579a035c135f_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. motion blur\nB. missing tiles\nC. color distortion\nD. cloud", "answer": "A,D"}
{"id": "56f2a4ca-6389-46d4-9dfe-9e5ad17e02c0", "image_1": "Perception/single/56f2a4ca-6389-46d4-9dfe-9e5ad17e02c0_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. impulse noise\nB. gaussian blur\nC. motion blur\nD. dead pixel", "answer": "B,D"}
{"id": "44d68124-1fe9-4af4-9639-ea86dbec11b3", "image_1": "Perception/single/44d68124-1fe9-4af4-9639-ea86dbec11b3_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. color distortion\nB. gaussian blur\nC. image compression\nD. impulse noise", "answer": "B,C"}
{"id": "30338810-a912-4c8b-931d-51271fec2b30", "image_1": "Perception/single/30338810-a912-4c8b-931d-51271fec2b30_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. dead pixel\nB. motion blur\nC. cloud\nD. gaussian noise", "answer": "B,C"}
{"id": "852493fe-07f6-4928-849b-b2f26767190c", "image_1": "Perception/single/852493fe-07f6-4928-849b-b2f26767190c_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. motion blur\nB. image stretching\nC. missing tiles\nD. image compression", "answer": "A,D"}
{"id": "973b2dfa-f824-4ff6-aa22-093d3adb0e7a", "image_1": "Perception/single/973b2dfa-f824-4ff6-aa22-093d3adb0e7a_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. image stretching\nB. impulse noise\nC. stripe noise\nD. dead pixel", "answer": "A,D"}
{"id": "f87f0836-a704-4d09-b03d-2ace59c5216e", "image_1": "Perception/single/f87f0836-a704-4d09-b03d-2ace59c5216e_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. spatially correlated noise\nB. gaussian noise\nC. image stretching\nD. gaussian blur", "answer": "C,D"}
{"id": "9704ce0c-1eb6-4b3e-8d05-1d04e3603452", "image_1": "Perception/single/9704ce0c-1eb6-4b3e-8d05-1d04e3603452_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. cloud\nB. gaussian blur\nC. dead pixel\nD. impulse noise", "answer": "C,D"}
{"id": "b7096261-501c-4690-adcd-ceead91ec637", "image_1": "Perception/single/b7096261-501c-4690-adcd-ceead91ec637_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. impulse noise\nB. spatially correlated noise\nC. stripe noise\nD. color distortion", "answer": "B,D"}
{"id": "bf3179bd-406b-4f0b-9007-3be3c7dab8c5", "image_1": "Perception/single/bf3179bd-406b-4f0b-9007-3be3c7dab8c5_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. haze\nB. missing tiles\nC. stripe noise\nD. color distortion", "answer": "C,D"}
{"id": "db694ced-0af4-4537-a7f2-2d142005203b", "image_1": "Perception/single/db694ced-0af4-4537-a7f2-2d142005203b_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. image compression\nB. impulse noise\nC. spatially correlated noise\nD. cloud", "answer": "A,C"}
{"id": "d406b21e-fd97-4c7d-a988-faa375de3f2c", "image_1": "Perception/single/d406b21e-fd97-4c7d-a988-faa375de3f2c_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. cloud\nB. gaussian noise\nC. color distortion\nD. deadline noise", "answer": "C,D"}
{"id": "249b4411-9470-4d2c-a2c4-91c17ddfdc66", "image_1": "Perception/single/249b4411-9470-4d2c-a2c4-91c17ddfdc66_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. missing tiles\nB. spatially correlated noise\nC. haze\nD. cloud", "answer": "A,B"}
{"id": "7ec73b0b-58a8-4af9-8bdf-9026aeb149c0", "image_1": "Perception/single/7ec73b0b-58a8-4af9-8bdf-9026aeb149c0_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. missing tiles\nB. image stretching\nC. dead pixel\nD. stripe noise", "answer": "A,B"}
{"id": "cf0cd5c7-faf4-4ecf-8e0b-56f501925343", "image_1": "Perception/single/cf0cd5c7-faf4-4ecf-8e0b-56f501925343_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. impulse noise\nB. motion blur\nC. dead pixel\nD. gaussian blur", "answer": "B,C"}
{"id": "2e3593e1-de4e-4151-ae71-91ba2b76c3f1", "image_1": "Perception/single/2e3593e1-de4e-4151-ae71-91ba2b76c3f1_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. image stretching\nB. motion blur\nC. stripe noise\nD. missing tiles", "answer": "B,D"}
{"id": "1c521e33-b309-42b0-9f30-f2b2f7cef340", "image_1": "Perception/single/1c521e33-b309-42b0-9f30-f2b2f7cef340_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. deadline noise\nB. cloud\nC. missing tiles\nD. gaussian noise", "answer": "C,D"}
{"id": "3a1c062c-5b3f-4258-8635-33d4b7ced506", "image_1": "Perception/single/3a1c062c-5b3f-4258-8635-33d4b7ced506_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. gaussian blur\nB. dead pixel\nC. image stretching\nD. deadline noise", "answer": "A,B"}
{"id": "9ff1303f-fd0c-4a55-8e51-b0ebc4dadb02", "image_1": "Perception/single/9ff1303f-fd0c-4a55-8e51-b0ebc4dadb02_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. gaussian blur\nB. gaussian noise\nC. stripe noise\nD. color distortion", "answer": "B,D"}
{"id": "eb57c5d3-3f99-4e1d-8887-71c57eece3dd", "image_1": "Perception/single/eb57c5d3-3f99-4e1d-8887-71c57eece3dd_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. gaussian blur\nB. dead pixel\nC. color distortion\nD. impulse noise", "answer": "A,C"}
{"id": "956017c4-b62e-4c3f-a309-1db1ad7c4bfe", "image_1": "Perception/single/956017c4-b62e-4c3f-a309-1db1ad7c4bfe_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. image compression\nB. color distortion\nC. stripe noise\nD. cloud", "answer": "B,C"}
{"id": "7fb54314-c82d-4d5e-a13b-6168e745a6d2", "image_1": "Perception/single/7fb54314-c82d-4d5e-a13b-6168e745a6d2_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. gaussian blur\nB. impulse noise\nC. color distortion\nD. cloud", "answer": "A,D"}
{"id": "87d5a8e2-fbf8-491c-83bc-ebfd9739999b", "image_1": "Perception/single/87d5a8e2-fbf8-491c-83bc-ebfd9739999b_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. spatially correlated noise\nB. dead pixel\nC. stripe noise\nD. image stretching", "answer": "B,D"}
{"id": "42a48737-65b3-4bcb-81ca-6e1dece166f2", "image_1": "Perception/single/42a48737-65b3-4bcb-81ca-6e1dece166f2_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. cloud\nB. spatially correlated noise\nC. motion blur\nD. missing tiles", "answer": "A,D"}
{"id": "91580a9b-f796-4786-8cda-5cd5ccd7861e", "image_1": "Perception/single/91580a9b-f796-4786-8cda-5cd5ccd7861e_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. missing tiles\nB. haze\nC. color distortion\nD. image compression", "answer": "A,B"}
{"id": "f8e91fb0-156e-44aa-9e01-b9ef29a74253", "image_1": "Perception/single/f8e91fb0-156e-44aa-9e01-b9ef29a74253_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. motion blur\nB. gaussian noise\nC. cloud\nD. color distortion", "answer": "A,D"}
{"id": "3aa7df85-36af-4baf-ae62-3b49b191afcb", "image_1": "Perception/single/3aa7df85-36af-4baf-ae62-3b49b191afcb_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. image stretching\nB. missing tiles\nC. gaussian noise\nD. cloud", "answer": "A,B"}
{"id": "3650e6d3-6d8e-4a88-949c-57ea0cb865f2", "image_1": "Perception/single/3650e6d3-6d8e-4a88-949c-57ea0cb865f2_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. gaussian blur\nB. deadline noise\nC. missing tiles\nD. motion blur", "answer": "C,D"}
{"id": "7816a173-4f3e-4f20-ae62-caa3455a33eb", "image_1": "Perception/single/7816a173-4f3e-4f20-ae62-caa3455a33eb_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. motion blur\nB. cloud\nC. dead pixel\nD. color distortion", "answer": "A,C"}
{"id": "26864dac-32ab-4c6e-a9c8-aa60940b6968", "image_1": "Perception/single/26864dac-32ab-4c6e-a9c8-aa60940b6968_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. image compression\nB. missing tiles\nC. gaussian blur\nD. deadline noise", "answer": "A,C"}
{"id": "872b3d08-f826-4d68-9174-bd23184c4c42", "image_1": "Perception/single/872b3d08-f826-4d68-9174-bd23184c4c42_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. impulse noise\nB. image stretching\nC. haze\nD. dead pixel", "answer": "B,D"}
{"id": "85fdb167-288e-426a-9d06-efdc9f28e1c5", "image_1": "Perception/single/85fdb167-288e-426a-9d06-efdc9f28e1c5_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. image compression\nB. missing tiles\nC. color distortion\nD. image stretching", "answer": "A,C"}
{"id": "66007d23-a958-4394-bbc0-733837599c38", "image_1": "Perception/single/66007d23-a958-4394-bbc0-733837599c38_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. dead pixel\nB. stripe noise\nC. haze\nD. spatially correlated noise", "answer": "A,D"}
{"id": "d6c5e427-3598-48ec-b3a8-4d0671087a49", "image_1": "Perception/single/d6c5e427-3598-48ec-b3a8-4d0671087a49_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. missing tiles\nB. image compression\nC. haze\nD. dead pixel", "answer": "C,D"}
{"id": "f78e3ed8-fffc-4957-a238-26f27f1fcf02", "image_1": "Perception/single/f78e3ed8-fffc-4957-a238-26f27f1fcf02_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. image compression\nB. color distortion\nC. impulse noise\nD. missing tiles", "answer": "C,D"}
{"id": "45a6905e-3f69-49db-a64a-088018f644d6", "image_1": "Perception/single/45a6905e-3f69-49db-a64a-088018f644d6_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. dead pixel\nB. image compression\nC. gaussian blur\nD. haze", "answer": "B,C"}
{"id": "7f018794-4ade-4efe-98b8-0261c684a0e5", "image_1": "Perception/single/7f018794-4ade-4efe-98b8-0261c684a0e5_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. color distortion\nB. deadline noise\nC. cloud\nD. image compression", "answer": "A,D"}
{"id": "62292e94-9730-4fe9-8cdd-845240fe9ada", "image_1": "Perception/single/62292e94-9730-4fe9-8cdd-845240fe9ada_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. motion blur\nB. color distortion\nC. spatially correlated noise\nD. dead pixel", "answer": "B,D"}
{"id": "d7ba8670-2154-4583-b9e8-48f30cf65570", "image_1": "Perception/single/d7ba8670-2154-4583-b9e8-48f30cf65570_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. color distortion\nB. stripe noise\nC. image compression\nD. haze", "answer": "B,C"}
{"id": "3855a1d2-dfcb-445c-bfb0-052bc033287a", "image_1": "Perception/single/3855a1d2-dfcb-445c-bfb0-052bc033287a_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. haze\nB. color distortion\nC. image stretching\nD. impulse noise", "answer": "C,D"}
{"id": "8b7bee95-05e8-4a4b-819c-c5a291119312", "image_1": "Perception/single/8b7bee95-05e8-4a4b-819c-c5a291119312_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. deadline noise\nB. haze\nC. dead pixel\nD. image stretching", "answer": "C,D"}
{"id": "005e93a1-09c5-4e85-b1e1-78a2ed993a37", "image_1": "Perception/single/005e93a1-09c5-4e85-b1e1-78a2ed993a37_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. color distortion\nB. gaussian blur\nC. gaussian noise\nD. image compression", "answer": "B,D"}
{"id": "fafdd3b8-bf2c-4a78-96b2-2190a04f4cbe", "image_1": "Perception/single/fafdd3b8-bf2c-4a78-96b2-2190a04f4cbe_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. image compression\nB. motion blur\nC. stripe noise\nD. gaussian blur", "answer": "A,C"}
{"id": "823dca88-73d8-4d45-bca0-0b6863227be9", "image_1": "Perception/single/823dca88-73d8-4d45-bca0-0b6863227be9_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. spatially correlated noise\nB. motion blur\nC. impulse noise\nD. dead pixel", "answer": "C,D"}
{"id": "915a12e2-cf22-46e1-8b7b-e60807ab4532", "image_1": "Perception/single/915a12e2-cf22-46e1-8b7b-e60807ab4532_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. motion blur\nB. deadline noise\nC. image compression\nD. gaussian noise", "answer": "A,C"}
{"id": "e137ccab-c2cc-4633-bebb-a0ef1fb81205", "image_1": "Perception/single/e137ccab-c2cc-4633-bebb-a0ef1fb81205_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. spatially correlated noise\nB. cloud\nC. dead pixel\nD. color distortion", "answer": "C,D"}
{"id": "040debc5-5f06-40fb-a2a7-69756c28aa50", "image_1": "Perception/single/040debc5-5f06-40fb-a2a7-69756c28aa50_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. gaussian blur\nB. missing tiles\nC. image stretching\nD. gaussian noise", "answer": "A,C"}
{"id": "d78870da-1f5a-4b52-a367-1051cd9cbcf1", "image_1": "Perception/single/d78870da-1f5a-4b52-a367-1051cd9cbcf1_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. gaussian blur\nB. deadline noise\nC. image compression\nD. dead pixel", "answer": "B,D"}
{"id": "54e87813-1f02-4f83-becb-8acbf631d321", "image_1": "Perception/single/54e87813-1f02-4f83-becb-8acbf631d321_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. spatially correlated noise\nB. gaussian blur\nC. missing tiles\nD. motion blur", "answer": "A,D"}
{"id": "dbb57ba9-034e-4050-81c3-6b0a8327ee64", "image_1": "Perception/single/dbb57ba9-034e-4050-81c3-6b0a8327ee64_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. dead pixel\nB. image compression\nC. color distortion\nD. missing tiles", "answer": "A,C"}
{"id": "9b58fe53-fa08-471e-bba1-75e46dfd0aca", "image_1": "Perception/single/9b58fe53-fa08-471e-bba1-75e46dfd0aca_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. motion blur\nB. image stretching\nC. cloud\nD. image compression", "answer": "A,D"}
{"id": "4af274f1-c053-474f-a7c1-68b6d0c2007d", "image_1": "Perception/single/4af274f1-c053-474f-a7c1-68b6d0c2007d_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. image compression\nB. image stretching\nC. motion blur\nD. haze", "answer": "A,D"}
{"id": "5d8a1584-f419-44fe-8c3a-4ab9b7b9146f", "image_1": "Perception/single/5d8a1584-f419-44fe-8c3a-4ab9b7b9146f_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. image compression\nB. stripe noise\nC. dead pixel\nD. motion blur", "answer": "B,C"}
{"id": "32ab1b56-3252-4893-b839-7d3bc2d94fad", "image_1": "Perception/single/32ab1b56-3252-4893-b839-7d3bc2d94fad_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. image stretching\nB. cloud\nC. dead pixel\nD. color distortion", "answer": "B,D"}
{"id": "cc36a2ef-8f58-4d4a-8e32-0f2069ae5ee2", "image_1": "Perception/single/cc36a2ef-8f58-4d4a-8e32-0f2069ae5ee2_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. haze\nB. color distortion\nC. motion blur\nD. spatially correlated noise", "answer": "A,C"}
{"id": "862635bd-8953-4a91-b3b6-a250ec347667", "image_1": "Perception/single/862635bd-8953-4a91-b3b6-a250ec347667_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. image stretching\nB. dead pixel\nC. stripe noise\nD. motion blur", "answer": "A,D"}
{"id": "4c7db578-fdcf-41e6-9cb0-26ac6fda71ed", "image_1": "Perception/single/4c7db578-fdcf-41e6-9cb0-26ac6fda71ed_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. gaussian blur\nB. stripe noise\nC. missing tiles\nD. image stretching", "answer": "B,C"}
{"id": "01ed2c09-e5d6-4054-855e-d2db70e57dce", "image_1": "Perception/single/01ed2c09-e5d6-4054-855e-d2db70e57dce_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. color distortion\nB. missing tiles\nC. gaussian blur\nD. spatially correlated noise", "answer": "A,D"}
{"id": "3ebb20b1-0181-42b2-a13b-a68bd91450ee", "image_1": "Perception/single/3ebb20b1-0181-42b2-a13b-a68bd91450ee_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. image stretching\nB. gaussian blur\nC. stripe noise\nD. impulse noise", "answer": "A,C"}
{"id": "d2611c39-363b-4044-ba0c-27bbe4f09aa6", "image_1": "Perception/single/d2611c39-363b-4044-ba0c-27bbe4f09aa6_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. motion blur\nB. haze\nC. image stretching\nD. missing tiles", "answer": "B,C"}
{"id": "e05f1bb0-5ee2-48af-8884-272d8e8ae0a2", "image_1": "Perception/single/e05f1bb0-5ee2-48af-8884-272d8e8ae0a2_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. gaussian blur\nB. missing tiles\nC. dead pixel\nD. image compression", "answer": "A,D"}
{"id": "aa6cfb08-486f-4a0f-b738-d48fda641865", "image_1": "Perception/single/aa6cfb08-486f-4a0f-b738-d48fda641865_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. missing tiles\nB. motion blur\nC. deadline noise\nD. image stretching", "answer": "B,D"}
{"id": "a97b2fe6-daf1-42f1-8813-4a10997737a6", "image_1": "Perception/single/a97b2fe6-daf1-42f1-8813-4a10997737a6_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. stripe noise\nB. image stretching\nC. gaussian blur\nD. dead pixel", "answer": "A,C"}
{"id": "bdf05239-4897-4339-b5a9-b3efe304c7ab", "image_1": "Perception/single/bdf05239-4897-4339-b5a9-b3efe304c7ab_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. missing tiles\nB. motion blur\nC. cloud\nD. stripe noise", "answer": "B,C"}
{"id": "ccafe380-4ca1-4308-bec4-e299e6b248ef", "image_1": "Perception/single/ccafe380-4ca1-4308-bec4-e299e6b248ef_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. dead pixel\nB. stripe noise\nC. color distortion\nD. motion blur", "answer": "A,D"}
{"id": "2cc7a29c-93fb-4171-b908-c7e6b7e4abc3", "image_1": "Perception/single/2cc7a29c-93fb-4171-b908-c7e6b7e4abc3_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. dead pixel\nB. deadline noise\nC. gaussian blur\nD. gaussian noise", "answer": "A,C"}
{"id": "17a055ff-c012-4c7e-94fc-1541fee22fd8", "image_1": "Perception/single/17a055ff-c012-4c7e-94fc-1541fee22fd8_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. gaussian blur\nB. image stretching\nC. image compression\nD. spatially correlated noise", "answer": "A,C"}
{"id": "bde49106-177b-46f6-8fe2-6f49d4e63697", "image_1": "Perception/single/bde49106-177b-46f6-8fe2-6f49d4e63697_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. gaussian noise\nB. spatially correlated noise\nC. image compression\nD. gaussian blur", "answer": "B,C"}
{"id": "eac0e710-f796-49bc-a51f-95a557f5d70b", "image_1": "Perception/single/eac0e710-f796-49bc-a51f-95a557f5d70b_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. haze\nB. impulse noise\nC. gaussian blur\nD. image compression", "answer": "A,D"}
{"id": "bf8d31a6-1342-4145-ab27-3c0e84e5e871", "image_1": "Perception/single/bf8d31a6-1342-4145-ab27-3c0e84e5e871_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. image compression\nB. stripe noise\nC. haze\nD. image stretching", "answer": "A,D"}
{"id": "3e7a8cb1-e0ce-4d92-919b-ec5dce7f3d12", "image_1": "Perception/single/3e7a8cb1-e0ce-4d92-919b-ec5dce7f3d12_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. image compression\nB. cloud\nC. gaussian noise\nD. gaussian blur", "answer": "A,D"}
{"id": "ce583125-f75b-4109-b917-5bbd4dcbfbb3", "image_1": "Perception/single/ce583125-f75b-4109-b917-5bbd4dcbfbb3_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. haze\nB. image compression\nC. dead pixel\nD. gaussian blur", "answer": "A,D"}
{"id": "ec1819fe-a974-4c62-9724-d5560166834e", "image_1": "Perception/single/ec1819fe-a974-4c62-9724-d5560166834e_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. spatially correlated noise\nB. color distortion\nC. haze\nD. image compression", "answer": "C,D"}
{"id": "1504d213-6f11-44af-889c-523ee42a9f6e", "image_1": "Perception/single/1504d213-6f11-44af-889c-523ee42a9f6e_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. dead pixel\nB. stripe noise\nC. cloud\nD. gaussian blur", "answer": "C,D"}
{"id": "6fd78ed3-2fd2-4e44-99cc-510ddd47670e", "image_1": "Perception/single/6fd78ed3-2fd2-4e44-99cc-510ddd47670e_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. dead pixel\nB. impulse noise\nC. gaussian noise\nD. image compression", "answer": "C,D"}
{"id": "139a9640-e28f-420f-a101-2d1f9df159b8", "image_1": "Perception/single/139a9640-e28f-420f-a101-2d1f9df159b8_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. gaussian blur\nB. stripe noise\nC. color distortion\nD. dead pixel", "answer": "A,D"}
{"id": "89cb6c63-aa83-4fec-8c9b-eff829dd1abb", "image_1": "Perception/single/89cb6c63-aa83-4fec-8c9b-eff829dd1abb_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. impulse noise\nB. gaussian noise\nC. gaussian blur\nD. image compression", "answer": "C,D"}
{"id": "b6cb979a-2f3e-4466-b912-8728f3608cc8", "image_1": "Perception/single/b6cb979a-2f3e-4466-b912-8728f3608cc8_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. motion blur\nB. stripe noise\nC. gaussian noise\nD. dead pixel", "answer": "B,D"}
{"id": "fbdcbbd6-98f4-4cb2-bdd2-456132c0182a", "image_1": "Perception/single/fbdcbbd6-98f4-4cb2-bdd2-456132c0182a_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. missing tiles\nB. motion blur\nC. dead pixel\nD. haze", "answer": "B,C"}
{"id": "9c934fd0-b45c-40a2-b90f-121eda0f449e", "image_1": "Perception/single/9c934fd0-b45c-40a2-b90f-121eda0f449e_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. dead pixel\nB. cloud\nC. spatially correlated noise\nD. motion blur", "answer": "A,B"}
{"id": "5dd49334-b27c-4b30-8a41-eef08105a62f", "image_1": "Perception/single/5dd49334-b27c-4b30-8a41-eef08105a62f_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. image stretching\nB. dead pixel\nC. gaussian blur\nD. haze", "answer": "C,D"}
{"id": "49deb045-b471-423f-92b8-3dfab8f5f2a1", "image_1": "Perception/single/49deb045-b471-423f-92b8-3dfab8f5f2a1_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. spatially correlated noise\nB. deadline noise\nC. motion blur\nD. image stretching", "answer": "C,D"}
{"id": "7f3e9ec8-d9c8-4b90-8a2c-c8c833f03409", "image_1": "Perception/single/7f3e9ec8-d9c8-4b90-8a2c-c8c833f03409_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. image compression\nB. motion blur\nC. haze\nD. deadline noise", "answer": "A,D"}
{"id": "34a8dbba-a8e0-43e9-9d61-205eab078361", "image_1": "Perception/single/34a8dbba-a8e0-43e9-9d61-205eab078361_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. cloud\nB. image stretching\nC. gaussian noise\nD. gaussian blur", "answer": "B,D"}
{"id": "41877628-3b66-4cba-aa96-80e8974b3117", "image_1": "Perception/single/41877628-3b66-4cba-aa96-80e8974b3117_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. motion blur\nB. deadline noise\nC. stripe noise\nD. image compression", "answer": "B,D"}
{"id": "0409ccbe-1bea-484a-88ba-44fc43e63c83", "image_1": "Perception/single/0409ccbe-1bea-484a-88ba-44fc43e63c83_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. color distortion\nB. image stretching\nC. gaussian noise\nD. image compression", "answer": "A,C"}
{"id": "58280ec5-2f73-49d3-9c46-720f6afc131b", "image_1": "Perception/single/58280ec5-2f73-49d3-9c46-720f6afc131b_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. cloud\nB. motion blur\nC. color distortion\nD. deadline noise", "answer": "B,D"}
{"id": "64d437c2-c03b-4a32-87f8-b0d4a3c40893", "image_1": "Perception/single/64d437c2-c03b-4a32-87f8-b0d4a3c40893_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. motion blur\nB. image compression\nC. image stretching\nD. spatially correlated noise", "answer": "A,B"}
{"id": "bb289bce-e2f0-4914-bb67-c56990d20d88", "image_1": "Perception/single/bb289bce-e2f0-4914-bb67-c56990d20d88_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. motion blur\nB. image compression\nC. deadline noise\nD. cloud", "answer": "B,C"}
{"id": "aaf290d8-bfe6-4f9d-8768-90cce9e6280a", "image_1": "Perception/single/aaf290d8-bfe6-4f9d-8768-90cce9e6280a_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. impulse noise\nB. gaussian noise\nC. image compression\nD. haze", "answer": "A,C"}
{"id": "8b8d5ea6-d24a-45ed-94c5-26a98034c592", "image_1": "Perception/single/8b8d5ea6-d24a-45ed-94c5-26a98034c592_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. motion blur\nB. image stretching\nC. image compression\nD. impulse noise", "answer": "C,D"}
{"id": "672f39a3-46af-4153-89cc-19de2e752b91", "image_1": "Perception/single/672f39a3-46af-4153-89cc-19de2e752b91_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. deadline noise\nB. gaussian blur\nC. gaussian noise\nD. impulse noise", "answer": "B,C"}
{"id": "da457508-656a-4c8d-a7af-c29531d337a1", "image_1": "Perception/single/da457508-656a-4c8d-a7af-c29531d337a1_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. motion blur\nB. cloud\nC. haze\nD. image stretching", "answer": "A,B"}
{"id": "fb86f434-e8c8-4cb9-ade8-9f19cc1ebaaa", "image_1": "Perception/single/fb86f434-e8c8-4cb9-ade8-9f19cc1ebaaa_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. haze\nB. spatially correlated noise\nC. missing tiles\nD. color distortion", "answer": "A,D"}
{"id": "f7b4aba3-ecad-4bdd-ba6b-398d23db2861", "image_1": "Perception/single/f7b4aba3-ecad-4bdd-ba6b-398d23db2861_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. motion blur\nB. missing tiles\nC. image stretching\nD. gaussian blur", "answer": "C,D"}
{"id": "e64d88a8-ae1b-432e-bd51-ec1c2ec3b301", "image_1": "Perception/single/e64d88a8-ae1b-432e-bd51-ec1c2ec3b301_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. gaussian noise\nB. gaussian blur\nC. color distortion\nD. image compression", "answer": "B,C"}
{"id": "949d9df9-32f8-4d03-b4da-02997f36f1ab", "image_1": "Perception/single/949d9df9-32f8-4d03-b4da-02997f36f1ab_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. image stretching\nB. gaussian blur\nC. missing tiles\nD. cloud", "answer": "A,B"}
{"id": "232e73ad-0017-43af-a23c-478b5a8b0a84", "image_1": "Perception/single/232e73ad-0017-43af-a23c-478b5a8b0a84_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. color distortion\nB. haze\nC. deadline noise\nD. dead pixel", "answer": "B,D"}
{"id": "5c7815ae-f3f6-4430-b7a0-af5739164877", "image_1": "Perception/single/5c7815ae-f3f6-4430-b7a0-af5739164877_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. deadline noise\nB. color distortion\nC. motion blur\nD. gaussian blur", "answer": "A,D"}
{"id": "37e8b330-8b65-405d-b760-e796b0669fa4", "image_1": "Perception/single/37e8b330-8b65-405d-b760-e796b0669fa4_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. color distortion\nB. haze\nC. image stretching\nD. spatially correlated noise", "answer": "C,D"}
{"id": "6e764c67-c058-4419-90ab-45e0405517d0", "image_1": "Perception/single/6e764c67-c058-4419-90ab-45e0405517d0_0.png", "image_2": null, "question": "From the list, which artifacts can be observed in this scene?\nA. gaussian blur\nB. color distortion\nC. cloud\nD. missing tiles", "answer": "B,C"}
{"id": "d1b0d62c-f6e1-463c-9dee-819f4d6298d4", "image_1": "Perception/single/d1b0d62c-f6e1-463c-9dee-819f4d6298d4_0.png", "image_2": null, "question": "Identify all distortions that degrade this remote sensing image from the options below.\nA. image compression\nB. color distortion\nC. gaussian noise\nD. stripe noise", "answer": "A,B"}
{"id": "be98312a-0d2b-498b-8657-9cd0b366c996", "image_1": "Perception/single/be98312a-0d2b-498b-8657-9cd0b366c996_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.No distortion\nC.noise\nD.image compression", "answer": "C"}
{"id": "b0ced68e-77b2-47d6-a887-b022d8495b73", "image_1": "Perception/single/b0ced68e-77b2-47d6-a887-b022d8495b73_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image compression\nC.haze\nD.noise", "answer": "D"}
{"id": "61f36621-52af-4384-a262-7363ea739066", "image_1": "Perception/single/61f36621-52af-4384-a262-7363ea739066_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.image compression\nC.noise\nD.cloud", "answer": "C"}
{"id": "9f78afbf-b9f7-4025-8645-858a63387ca7", "image_1": "Perception/single/9f78afbf-b9f7-4025-8645-858a63387ca7_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.noise\nB.missing tiles\nC.image compression\nD.cloud", "answer": "A"}
{"id": "940b46eb-3999-49e4-b457-ce5dda8c8bf2", "image_1": "Perception/single/940b46eb-3999-49e4-b457-ce5dda8c8bf2_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.cloud\nB.image compression\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "61e17891-bb9a-48cd-93d1-5fb66475d253", "image_1": "Perception/single/61e17891-bb9a-48cd-93d1-5fb66475d253_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.cloud\nC.No distortion\nD.noise", "answer": "D"}
{"id": "d93ed1eb-4672-46d6-bd9e-b14873ed0743", "image_1": "Perception/single/d93ed1eb-4672-46d6-bd9e-b14873ed0743_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.color distortion\nC.No distortion\nD.blur", "answer": "A"}
{"id": "f8f42402-dcda-475e-b2ae-b90127bbd167", "image_1": "Perception/single/f8f42402-dcda-475e-b2ae-b90127bbd167_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "6446f1d1-bc66-4bf6-8fa8-33957450f48d", "image_1": "Perception/single/6446f1d1-bc66-4bf6-8fa8-33957450f48d_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.noise\nB.blur\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "cb4fecee-0d89-43c7-9877-6fbfcd187846", "image_1": "Perception/single/cb4fecee-0d89-43c7-9877-6fbfcd187846_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.No distortion\nC.blur\nD.image stretching", "answer": "B"}
{"id": "878ac40b-ddb7-4a19-90f5-b2645d7ada92", "image_1": "Perception/single/878ac40b-ddb7-4a19-90f5-b2645d7ada92_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.dead pixel\nC.image stretching\nD.blur", "answer": "A"}
{"id": "0ab42e90-c044-45c2-9aab-f4fbccf80a92", "image_1": "Perception/single/0ab42e90-c044-45c2-9aab-f4fbccf80a92_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.cloud\nD.noise", "answer": "D"}
{"id": "5c616a0d-37d0-456d-8a3e-b9967f9f6a40", "image_1": "Perception/single/5c616a0d-37d0-456d-8a3e-b9967f9f6a40_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.cloud\nB.blur\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "0f911fc4-b6aa-4158-bc11-8f7785bc5d20", "image_1": "Perception/single/0f911fc4-b6aa-4158-bc11-8f7785bc5d20_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.missing tiles\nB.image stretching\nC.noise\nD.haze", "answer": "C"}
{"id": "09ef29be-0179-4273-85d5-3190958cd47b", "image_1": "Perception/single/09ef29be-0179-4273-85d5-3190958cd47b_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.No distortion\nB.blur\nC.noise\nD.color distortion", "answer": "A"}
{"id": "77314cd4-5cf6-4c3c-bbb9-70d4594850ac", "image_1": "Perception/single/77314cd4-5cf6-4c3c-bbb9-70d4594850ac_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.haze\nC.blur\nD.image compression", "answer": "A"}
{"id": "b67ce83f-830d-4f3c-afac-79c3ebdc4671", "image_1": "Perception/single/b67ce83f-830d-4f3c-afac-79c3ebdc4671_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.color distortion\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "06da56ae-ceaf-4b20-bff4-20e599aced37", "image_1": "Perception/single/06da56ae-ceaf-4b20-bff4-20e599aced37_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.blur\nC.noise\nD.No distortion", "answer": "C"}
{"id": "37877e53-986c-4fef-bc45-d3000d56f0dc", "image_1": "Perception/single/37877e53-986c-4fef-bc45-d3000d56f0dc_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.missing tiles\nB.No distortion\nC.image compression\nD.haze", "answer": "B"}
{"id": "64ef59ef-a504-4a5b-9c33-1c414bd6d846", "image_1": "Perception/single/64ef59ef-a504-4a5b-9c33-1c414bd6d846_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.color distortion\nC.noise\nD.blur", "answer": "C"}
{"id": "b4a10c02-d39e-4920-b82b-488258106daa", "image_1": "Perception/single/b4a10c02-d39e-4920-b82b-488258106daa_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.noise\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "2500f6d2-ef2f-494d-a298-9031aff147d0", "image_1": "Perception/single/2500f6d2-ef2f-494d-a298-9031aff147d0_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.No distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "56300199-47f1-43d1-97b9-46e97f90a70b", "image_1": "Perception/single/56300199-47f1-43d1-97b9-46e97f90a70b_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.color distortion\nC.noise\nD.haze", "answer": "C"}
{"id": "776f9cb1-ddb3-417f-ad52-ecd6c77635f4", "image_1": "Perception/single/776f9cb1-ddb3-417f-ad52-ecd6c77635f4_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.blur\nC.color distortion\nD.No distortion", "answer": "A"}
{"id": "6d424ae3-eec0-48aa-8280-1bc3ca991401", "image_1": "Perception/single/6d424ae3-eec0-48aa-8280-1bc3ca991401_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.cloud\nB.haze\nC.noise\nD.No distortion", "answer": "C"}
{"id": "3324e44e-ff25-4ca6-8b2d-10e6c3558926", "image_1": "Perception/single/3324e44e-ff25-4ca6-8b2d-10e6c3558926_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "b0c398dc-0fec-430c-95f7-f65290c8dade", "image_1": "Perception/single/b0c398dc-0fec-430c-95f7-f65290c8dade_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "50a610e0-99bd-4dca-9c70-30b20df62d01", "image_1": "Perception/single/50a610e0-99bd-4dca-9c70-30b20df62d01_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "91580197-002b-4c6c-9263-6eb20c49de6b", "image_1": "Perception/single/91580197-002b-4c6c-9263-6eb20c49de6b_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.haze\nC.noise\nD.color distortion", "answer": "C"}
{"id": "458f8565-71d0-460b-8fce-d4daadd02b58", "image_1": "Perception/single/458f8565-71d0-460b-8fce-d4daadd02b58_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.noise\nC.color distortion\nD.dead pixel", "answer": "B"}
{"id": "5cb1d6c7-b761-4dc3-b7fe-971e703b7d86", "image_1": "Perception/single/5cb1d6c7-b761-4dc3-b7fe-971e703b7d86_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.cloud\nC.noise\nD.color distortion", "answer": "C"}
{"id": "dfcd43e4-b42a-43e1-a4c1-d19ad9091a50", "image_1": "Perception/single/dfcd43e4-b42a-43e1-a4c1-d19ad9091a50_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.dead pixel\nC.noise\nD.blur", "answer": "C"}
{"id": "5a4b6cc1-46e5-45c1-b721-37e8917ac7af", "image_1": "Perception/single/5a4b6cc1-46e5-45c1-b721-37e8917ac7af_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.blur\nC.image stretching\nD.noise", "answer": "D"}
{"id": "9c955972-bab4-4d63-8b17-f1994790a5ab", "image_1": "Perception/single/9c955972-bab4-4d63-8b17-f1994790a5ab_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.noise\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "a05f5e2d-bd49-486c-8bcd-6f8859e36d5e", "image_1": "Perception/single/a05f5e2d-bd49-486c-8bcd-6f8859e36d5e_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "8d783ec5-f046-4d8a-93fd-a26798ee35ab", "image_1": "Perception/single/8d783ec5-f046-4d8a-93fd-a26798ee35ab_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.color distortion\nC.noise\nD.cloud", "answer": "C"}
{"id": "b6ba5413-8c85-48a1-9c47-6cabdc73377f", "image_1": "Perception/single/b6ba5413-8c85-48a1-9c47-6cabdc73377f_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.dead pixel\nC.image compression\nD.noise", "answer": "D"}
{"id": "dd0eba93-459a-4dba-9966-8379b38a3bee", "image_1": "Perception/single/dd0eba93-459a-4dba-9966-8379b38a3bee_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.No distortion\nB.haze\nC.noise\nD.image compression", "answer": "C"}
{"id": "802b869e-5cf4-4eaa-a7dd-ddafc1f9e6f9", "image_1": "Perception/single/802b869e-5cf4-4eaa-a7dd-ddafc1f9e6f9_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "016917b8-af85-4435-a3b1-abf673d781ed", "image_1": "Perception/single/016917b8-af85-4435-a3b1-abf673d781ed_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.image compression\nD.blur", "answer": "B"}
{"id": "0f35fd29-e5d1-49af-96ed-fbf980c8c4c9", "image_1": "Perception/single/0f35fd29-e5d1-49af-96ed-fbf980c8c4c9_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.noise\nB.image stretching\nC.No distortion\nD.dead pixel", "answer": "A"}
{"id": "d6265df9-3350-4421-b944-f88bb91cfdae", "image_1": "Perception/single/d6265df9-3350-4421-b944-f88bb91cfdae_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.noise\nC.blur\nD.image compression", "answer": "B"}
{"id": "ec89702c-5919-47f0-960b-e50740d8930e", "image_1": "Perception/single/ec89702c-5919-47f0-960b-e50740d8930e_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image stretching\nC.noise\nD.dead pixel", "answer": "C"}
{"id": "28c9e4dc-11ce-4387-972e-2cbea684f86e", "image_1": "Perception/single/28c9e4dc-11ce-4387-972e-2cbea684f86e_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.cloud\nC.missing tiles\nD.dead pixel", "answer": "A"}
{"id": "e1e8e4cf-04cf-4c27-9a36-ae5211078141", "image_1": "Perception/single/e1e8e4cf-04cf-4c27-9a36-ae5211078141_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.image compression\nC.cloud\nD.noise", "answer": "D"}
{"id": "77baf132-0de6-4d5e-9f95-b07a89e8d418", "image_1": "Perception/single/77baf132-0de6-4d5e-9f95-b07a89e8d418_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.noise\nC.haze\nD.missing tiles", "answer": "B"}
{"id": "ec2c0360-fec0-4562-b5ba-fe1ce26278e5", "image_1": "Perception/single/ec2c0360-fec0-4562-b5ba-fe1ce26278e5_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.noise\nC.dead pixel\nD.haze", "answer": "B"}
{"id": "78fde3f4-1617-4f2e-bb8e-fc3e2c14e1be", "image_1": "Perception/single/78fde3f4-1617-4f2e-bb8e-fc3e2c14e1be_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image compression\nC.color distortion\nD.noise", "answer": "D"}
{"id": "d36ecb2d-6209-47d1-ab25-b548edc2e82f", "image_1": "Perception/single/d36ecb2d-6209-47d1-ab25-b548edc2e82f_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.noise\nC.haze\nD.No distortion", "answer": "B"}
{"id": "17f1bdb5-96c7-4a49-80a4-9dfb2dd1b85a", "image_1": "Perception/single/17f1bdb5-96c7-4a49-80a4-9dfb2dd1b85a_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.No distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "dc8876b8-068e-4605-915d-8d3629faab7c", "image_1": "Perception/single/dc8876b8-068e-4605-915d-8d3629faab7c_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.missing tiles\nC.noise\nD.image compression", "answer": "C"}
{"id": "3df55c83-3563-499e-bf9f-c8c70da9b408", "image_1": "Perception/single/3df55c83-3563-499e-bf9f-c8c70da9b408_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.dead pixel\nB.noise\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "9895fcc6-53da-4ac6-ad6f-ccd062f0d0af", "image_1": "Perception/single/9895fcc6-53da-4ac6-ad6f-ccd062f0d0af_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "409152c0-c4fe-43f1-87e4-ec27bc9b4186", "image_1": "Perception/single/409152c0-c4fe-43f1-87e4-ec27bc9b4186_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.cloud\nB.blur\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "aa6415c8-7d24-45f5-929d-255ef58605c9", "image_1": "Perception/single/aa6415c8-7d24-45f5-929d-255ef58605c9_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.image stretching\nC.dead pixel\nD.color distortion", "answer": "A"}
{"id": "165e1e0b-ba28-4b92-9807-28d5a8898ce3", "image_1": "Perception/single/165e1e0b-ba28-4b92-9807-28d5a8898ce3_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.image compression\nC.noise\nD.dead pixel", "answer": "A"}
{"id": "5b1b3f5b-e9ff-4b24-b91b-0e4ca6c870b1", "image_1": "Perception/single/5b1b3f5b-e9ff-4b24-b91b-0e4ca6c870b1_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.noise\nB.blur\nC.No distortion\nD.missing tiles", "answer": "A"}
{"id": "4cafa766-bf23-4a79-a1a7-38cf7528f856", "image_1": "Perception/single/4cafa766-bf23-4a79-a1a7-38cf7528f856_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.image stretching\nC.noise\nD.No distortion", "answer": "C"}
{"id": "abb10f8b-329a-4ad0-a7b9-86fe26e5dc0f", "image_1": "Perception/single/abb10f8b-329a-4ad0-a7b9-86fe26e5dc0f_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.cloud\nD.noise", "answer": "D"}
{"id": "9f295a48-0c46-4f2c-96f8-25256bd6895c", "image_1": "Perception/single/9f295a48-0c46-4f2c-96f8-25256bd6895c_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.noise\nB.color distortion\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "a54c34e2-b8a1-44ea-96e5-6df5aa6bc2e5", "image_1": "Perception/single/a54c34e2-b8a1-44ea-96e5-6df5aa6bc2e5_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.cloud\nC.image stretching\nD.noise", "answer": "D"}
{"id": "60b02ce3-d0b4-4b2c-9518-50f2e9e96b7d", "image_1": "Perception/single/60b02ce3-d0b4-4b2c-9518-50f2e9e96b7d_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.cloud\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "d9df019e-f7fc-4675-8aea-2a427e3f1b8e", "image_1": "Perception/single/d9df019e-f7fc-4675-8aea-2a427e3f1b8e_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.noise\nC.color distortion\nD.cloud", "answer": "B"}
{"id": "88f1b24c-8e07-48a2-b361-9956325bc5ff", "image_1": "Perception/single/88f1b24c-8e07-48a2-b361-9956325bc5ff_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.missing tiles\nB.color distortion\nC.noise\nD.image compression", "answer": "C"}
{"id": "d880fd5d-d49b-4509-a544-16875ffd79e0", "image_1": "Perception/single/d880fd5d-d49b-4509-a544-16875ffd79e0_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.noise\nB.dead pixel\nC.image stretching\nD.haze", "answer": "A"}
{"id": "f1b61889-1a5a-4c3e-898c-98c9fbf188c7", "image_1": "Perception/single/f1b61889-1a5a-4c3e-898c-98c9fbf188c7_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.haze\nC.noise\nD.No distortion", "answer": "C"}
{"id": "67a2b2eb-0a95-4c8f-92b7-c2d4cbde6a98", "image_1": "Perception/single/67a2b2eb-0a95-4c8f-92b7-c2d4cbde6a98_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.image stretching\nC.blur\nD.noise", "answer": "D"}
{"id": "a0704cc0-b026-49e4-8b07-d44777721edc", "image_1": "Perception/single/a0704cc0-b026-49e4-8b07-d44777721edc_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.noise\nB.dead pixel\nC.haze\nD.blur", "answer": "A"}
{"id": "f9794ded-a92c-4d53-b86c-876e8a359710", "image_1": "Perception/single/f9794ded-a92c-4d53-b86c-876e8a359710_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.color distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "49c14690-d564-45b7-9471-8776c9217a23", "image_1": "Perception/single/49c14690-d564-45b7-9471-8776c9217a23_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "38726044-c971-4ff6-aa6d-e5cafb251c42", "image_1": "Perception/single/38726044-c971-4ff6-aa6d-e5cafb251c42_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.haze\nC.cloud\nD.color distortion", "answer": "A"}
{"id": "75475df0-b853-4d93-844d-1456a7f071e3", "image_1": "Perception/single/75475df0-b853-4d93-844d-1456a7f071e3_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.missing tiles\nC.noise\nD.haze", "answer": "C"}
{"id": "1563047d-eca6-413a-9e72-934bd9048a6c", "image_1": "Perception/single/1563047d-eca6-413a-9e72-934bd9048a6c_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.haze\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "f9ab2b50-6415-4e83-a7e4-cbdd13079250", "image_1": "Perception/single/f9ab2b50-6415-4e83-a7e4-cbdd13079250_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.cloud\nB.noise\nC.missing tiles\nD.No distortion", "answer": "D"}
{"id": "6c5ed804-3c15-499a-8fea-2617f872b1d1", "image_1": "Perception/single/6c5ed804-3c15-499a-8fea-2617f872b1d1_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.cloud\nC.noise\nD.color distortion", "answer": "C"}
{"id": "42125c1f-ab17-4e78-8f02-c5d12cfb7a74", "image_1": "Perception/single/42125c1f-ab17-4e78-8f02-c5d12cfb7a74_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.cloud\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "2bf22abe-e4d0-4ddb-97b9-6047373f3c42", "image_1": "Perception/single/2bf22abe-e4d0-4ddb-97b9-6047373f3c42_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.color distortion\nC.image compression\nD.noise", "answer": "D"}
{"id": "ee4b12ef-34fb-401c-81f4-54a10d2df12b", "image_1": "Perception/single/ee4b12ef-34fb-401c-81f4-54a10d2df12b_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.dead pixel\nC.haze\nD.color distortion", "answer": "A"}
{"id": "78ef64d6-0ba0-4f3a-bed8-2cfe93060b64", "image_1": "Perception/single/78ef64d6-0ba0-4f3a-bed8-2cfe93060b64_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.No distortion\nC.color distortion\nD.missing tiles", "answer": "B"}
{"id": "e6745baa-661d-44b9-ad9a-30e091864a01", "image_1": "Perception/single/e6745baa-661d-44b9-ad9a-30e091864a01_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "f9a7df72-ab40-4205-8dae-e10e007e119c", "image_1": "Perception/single/f9a7df72-ab40-4205-8dae-e10e007e119c_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.image compression\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "a9c47f03-bbfa-4e8e-9a76-3403c0cbf375", "image_1": "Perception/single/a9c47f03-bbfa-4e8e-9a76-3403c0cbf375_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.noise\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "c4814841-d94d-457b-bbdb-ca56ed3d50a8", "image_1": "Perception/single/c4814841-d94d-457b-bbdb-ca56ed3d50a8_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.image compression\nC.blur\nD.No distortion", "answer": "D"}
{"id": "22c3a573-5c21-4594-a879-c7b0b6cd4814", "image_1": "Perception/single/22c3a573-5c21-4594-a879-c7b0b6cd4814_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.image stretching\nC.noise\nD.image compression", "answer": "C"}
{"id": "f8bd3e52-1317-4097-8a49-dd4a3e50449c", "image_1": "Perception/single/f8bd3e52-1317-4097-8a49-dd4a3e50449c_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.noise\nC.haze\nD.No distortion", "answer": "D"}
{"id": "98d714c0-931f-4d80-adb8-6afda6757fb0", "image_1": "Perception/single/98d714c0-931f-4d80-adb8-6afda6757fb0_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.No distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "2aedf88b-af75-42a5-8ec1-a1def2eb1fd2", "image_1": "Perception/single/2aedf88b-af75-42a5-8ec1-a1def2eb1fd2_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.No distortion\nB.noise\nC.image compression\nD.haze", "answer": "B"}
{"id": "adf6deb7-1d0f-4477-ac0a-5ba9952d1c25", "image_1": "Perception/single/adf6deb7-1d0f-4477-ac0a-5ba9952d1c25_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "321cc0d5-6078-4e94-9b88-9366c49aa878", "image_1": "Perception/single/321cc0d5-6078-4e94-9b88-9366c49aa878_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "4b842b2a-0bda-47d7-bb19-f2a9784cb8a3", "image_1": "Perception/single/4b842b2a-0bda-47d7-bb19-f2a9784cb8a3_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.No distortion\nB.haze\nC.color distortion\nD.image compression", "answer": "A"}
{"id": "af913caa-71de-4f2d-80ef-a01dbdfaf3da", "image_1": "Perception/single/af913caa-71de-4f2d-80ef-a01dbdfaf3da_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "d68adae7-c5f5-464e-be57-178cf87bf56c", "image_1": "Perception/single/d68adae7-c5f5-464e-be57-178cf87bf56c_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.missing tiles\nC.noise\nD.color distortion", "answer": "C"}
{"id": "e40d9d2f-861a-49c6-be59-e7660eb145ab", "image_1": "Perception/single/e40d9d2f-861a-49c6-be59-e7660eb145ab_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.noise\nC.dead pixel\nD.No distortion", "answer": "B"}
{"id": "a61a254a-522f-49aa-b21d-dbf37b171a82", "image_1": "Perception/single/a61a254a-522f-49aa-b21d-dbf37b171a82_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "A"}
{"id": "34dd8688-ebed-474e-ac34-81a25ce7f03d", "image_1": "Perception/single/34dd8688-ebed-474e-ac34-81a25ce7f03d_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.haze\nC.image stretching\nD.noise", "answer": "D"}
{"id": "e00c9f35-cdd7-4758-9d4a-fd6d055cc34e", "image_1": "Perception/single/e00c9f35-cdd7-4758-9d4a-fd6d055cc34e_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.image stretching\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "eaa944da-b561-4ed7-8b9c-fda931e78573", "image_1": "Perception/single/eaa944da-b561-4ed7-8b9c-fda931e78573_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "cc7a8353-8375-40fa-9008-a1ceff51d048", "image_1": "Perception/single/cc7a8353-8375-40fa-9008-a1ceff51d048_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.dead pixel\nC.cloud\nD.noise", "answer": "A"}
{"id": "7ee34811-dbc5-46e9-a77c-37f26d6f5f19", "image_1": "Perception/single/7ee34811-dbc5-46e9-a77c-37f26d6f5f19_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.missing tiles\nC.noise\nD.No distortion", "answer": "C"}
{"id": "0a9c6b94-92ce-422e-91aa-8f286b8247da", "image_1": "Perception/single/0a9c6b94-92ce-422e-91aa-8f286b8247da_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.blur\nC.No distortion\nD.noise", "answer": "C"}
{"id": "88682572-3cb1-48e6-b18f-89e295dc93d4", "image_1": "Perception/single/88682572-3cb1-48e6-b18f-89e295dc93d4_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.No distortion\nC.noise\nD.image compression", "answer": "C"}
{"id": "11fcc5d8-5a81-4a43-81bb-098cc1a284f1", "image_1": "Perception/single/11fcc5d8-5a81-4a43-81bb-098cc1a284f1_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image compression\nC.haze\nD.noise", "answer": "D"}
{"id": "fde5ea19-d2f3-4680-a383-a882ad580524", "image_1": "Perception/single/fde5ea19-d2f3-4680-a383-a882ad580524_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.image compression\nC.No distortion\nD.noise", "answer": "C"}
{"id": "1af1093f-3c81-4a89-a94a-134086c3b13e", "image_1": "Perception/single/1af1093f-3c81-4a89-a94a-134086c3b13e_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.missing tiles\nC.image compression\nD.noise", "answer": "A"}
{"id": "afd92ee8-e9f3-4b82-ab13-e32b0755b1b1", "image_1": "Perception/single/afd92ee8-e9f3-4b82-ab13-e32b0755b1b1_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.cloud\nB.image compression\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "6c2ebdac-6f63-4111-96c6-afede4a1968b", "image_1": "Perception/single/6c2ebdac-6f63-4111-96c6-afede4a1968b_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.cloud\nC.No distortion\nD.noise", "answer": "D"}
{"id": "2a3f1f39-124a-44cd-b103-20e446e13bbd", "image_1": "Perception/single/2a3f1f39-124a-44cd-b103-20e446e13bbd_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.color distortion\nC.No distortion\nD.blur", "answer": "A"}
{"id": "16b4b54b-f395-4412-b144-9830d4649879", "image_1": "Perception/single/16b4b54b-f395-4412-b144-9830d4649879_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "7aee99c5-b12f-4354-b942-9c075d82c010", "image_1": "Perception/single/7aee99c5-b12f-4354-b942-9c075d82c010_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.noise\nB.blur\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "7bcb583f-06c6-4452-a287-b77d0819c25f", "image_1": "Perception/single/7bcb583f-06c6-4452-a287-b77d0819c25f_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.No distortion\nC.blur\nD.image stretching", "answer": "B"}
{"id": "a9f51784-4380-4188-a979-d8bdd864fca5", "image_1": "Perception/single/a9f51784-4380-4188-a979-d8bdd864fca5_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.dead pixel\nC.image stretching\nD.blur", "answer": "A"}
{"id": "11ab49ff-4b09-4952-86ba-a181b4312c93", "image_1": "Perception/single/11ab49ff-4b09-4952-86ba-a181b4312c93_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.cloud\nD.noise", "answer": "D"}
{"id": "937a8ddd-f04c-40c7-977b-733a4aef1646", "image_1": "Perception/single/937a8ddd-f04c-40c7-977b-733a4aef1646_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.noise\nD.dead pixel", "answer": "C"}
{"id": "e520d519-e260-496c-991f-3b07f1cfebb3", "image_1": "Perception/single/e520d519-e260-496c-991f-3b07f1cfebb3_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.missing tiles\nB.image stretching\nC.noise\nD.haze", "answer": "C"}
{"id": "f12c73a2-7883-4695-837d-caf5b6439913", "image_1": "Perception/single/f12c73a2-7883-4695-837d-caf5b6439913_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.noise\nB.blur\nC.cloud\nD.color distortion", "answer": "A"}
{"id": "81ecf743-e54f-4b9b-b70a-154228e6fcc4", "image_1": "Perception/single/81ecf743-e54f-4b9b-b70a-154228e6fcc4_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.haze\nC.blur\nD.image compression", "answer": "A"}
{"id": "9b3bfa47-1284-42b4-b0c3-78416b3eeb97", "image_1": "Perception/single/9b3bfa47-1284-42b4-b0c3-78416b3eeb97_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.color distortion\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "7c87bf29-cea0-470c-a591-02aec317e3d9", "image_1": "Perception/single/7c87bf29-cea0-470c-a591-02aec317e3d9_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.blur\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "75e504b9-2752-48d0-91cb-d9822f4fd9ae", "image_1": "Perception/single/75e504b9-2752-48d0-91cb-d9822f4fd9ae_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.missing tiles\nB.noise\nC.image compression\nD.haze", "answer": "B"}
{"id": "8c814b0f-3577-456a-aa2a-1cb86cade121", "image_1": "Perception/single/8c814b0f-3577-456a-aa2a-1cb86cade121_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.color distortion\nC.noise\nD.blur", "answer": "C"}
{"id": "e44a818d-03bc-4790-959e-8e2adeacf13f", "image_1": "Perception/single/e44a818d-03bc-4790-959e-8e2adeacf13f_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.noise\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "ee401f23-b47e-4c20-ae69-e02deb4504c3", "image_1": "Perception/single/ee401f23-b47e-4c20-ae69-e02deb4504c3_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.No distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "86e4d00f-1e97-4b69-832d-faa7b3dc374b", "image_1": "Perception/single/86e4d00f-1e97-4b69-832d-faa7b3dc374b_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.color distortion\nC.noise\nD.haze", "answer": "C"}
{"id": "45b9550e-fc64-44d5-84d2-52ea19f0a9fb", "image_1": "Perception/single/45b9550e-fc64-44d5-84d2-52ea19f0a9fb_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.blur\nC.color distortion\nD.No distortion", "answer": "A"}
{"id": "1bdcf874-f007-4a98-bdf9-fa3c3cd6bbc7", "image_1": "Perception/single/1bdcf874-f007-4a98-bdf9-fa3c3cd6bbc7_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.haze\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "e2fc784d-0e4d-4613-85ff-c61908ffdb92", "image_1": "Perception/single/e2fc784d-0e4d-4613-85ff-c61908ffdb92_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "c3cdc05d-b5a8-419c-ba29-871607a78ec0", "image_1": "Perception/single/c3cdc05d-b5a8-419c-ba29-871607a78ec0_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.image stretching\nD.noise", "answer": "D"}
{"id": "9212c236-f85e-4eb9-90f5-51fc37e96c1e", "image_1": "Perception/single/9212c236-f85e-4eb9-90f5-51fc37e96c1e_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.dead pixel\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "2516197f-747e-495d-86eb-d42bdbff4c47", "image_1": "Perception/single/2516197f-747e-495d-86eb-d42bdbff4c47_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.haze\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "4e73fa29-bfc6-4cfe-bc3c-b9cf7a5f0866", "image_1": "Perception/single/4e73fa29-bfc6-4cfe-bc3c-b9cf7a5f0866_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.noise\nC.color distortion\nD.dead pixel", "answer": "B"}
{"id": "6201d852-2e17-4407-af39-86b06bd021c3", "image_1": "Perception/single/6201d852-2e17-4407-af39-86b06bd021c3_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.cloud\nC.noise\nD.color distortion", "answer": "C"}
{"id": "8ef30a93-44f6-4c0d-8cd7-04477d368955", "image_1": "Perception/single/8ef30a93-44f6-4c0d-8cd7-04477d368955_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.dead pixel\nC.noise\nD.blur", "answer": "C"}
{"id": "84599a0f-fa17-4a55-bf69-c9b3d3d0e05a", "image_1": "Perception/single/84599a0f-fa17-4a55-bf69-c9b3d3d0e05a_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.blur\nC.image stretching\nD.noise", "answer": "D"}
{"id": "9aa33f7f-4e50-44a9-bf7c-ec4f5f212a31", "image_1": "Perception/single/9aa33f7f-4e50-44a9-bf7c-ec4f5f212a31_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.noise\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "572f2c03-eef9-4e3c-920c-1e40200e4dcd", "image_1": "Perception/single/572f2c03-eef9-4e3c-920c-1e40200e4dcd_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.noise", "answer": "D"}
{"id": "853e3a03-8620-4098-a3b0-e81511f594ca", "image_1": "Perception/single/853e3a03-8620-4098-a3b0-e81511f594ca_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.color distortion\nC.No distortion\nD.noise", "answer": "C"}
{"id": "5c878ca2-2140-4095-ba6a-c02bd3f5aabd", "image_1": "Perception/single/5c878ca2-2140-4095-ba6a-c02bd3f5aabd_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.dead pixel\nC.image compression\nD.noise", "answer": "D"}
{"id": "5b6bdde4-175e-4b6d-9f0f-affe509083d7", "image_1": "Perception/single/5b6bdde4-175e-4b6d-9f0f-affe509083d7_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.No distortion\nB.haze\nC.noise\nD.image compression", "answer": "C"}
{"id": "2c40cbc9-c5fe-43f6-91c8-32240d1c006b", "image_1": "Perception/single/2c40cbc9-c5fe-43f6-91c8-32240d1c006b_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "58d91252-f834-4484-8b6e-1849659a6603", "image_1": "Perception/single/58d91252-f834-4484-8b6e-1849659a6603_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.image compression\nD.blur", "answer": "B"}
{"id": "c504553f-7264-49f1-90b8-7e076ff2f48e", "image_1": "Perception/single/c504553f-7264-49f1-90b8-7e076ff2f48e_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.noise\nB.image stretching\nC.No distortion\nD.dead pixel", "answer": "A"}
{"id": "bf17fd84-4add-4448-83a5-4972c3de43f0", "image_1": "Perception/single/bf17fd84-4add-4448-83a5-4972c3de43f0_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.noise\nB.No distortion\nC.blur\nD.image compression", "answer": "B"}
{"id": "a5dbb37c-9ba2-42e5-bda7-08f8a102991e", "image_1": "Perception/single/a5dbb37c-9ba2-42e5-bda7-08f8a102991e_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image stretching\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "b97fc69a-943e-46b6-92e4-2959e57c11e5", "image_1": "Perception/single/b97fc69a-943e-46b6-92e4-2959e57c11e5_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.cloud\nC.missing tiles\nD.dead pixel", "answer": "A"}
{"id": "b459b6ef-e5dc-49f3-a432-d26f5e9a5a85", "image_1": "Perception/single/b459b6ef-e5dc-49f3-a432-d26f5e9a5a85_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.image compression\nC.cloud\nD.noise", "answer": "D"}
{"id": "99b044e5-dc40-43a1-8830-434df9df4978", "image_1": "Perception/single/99b044e5-dc40-43a1-8830-434df9df4978_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.noise\nC.haze\nD.missing tiles", "answer": "B"}
{"id": "7d2768d5-6687-4ce9-81ab-91f01697e6a0", "image_1": "Perception/single/7d2768d5-6687-4ce9-81ab-91f01697e6a0_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.noise\nC.dead pixel\nD.haze", "answer": "B"}
{"id": "0e19950d-7c0d-41a2-a7bb-bf3810b526ff", "image_1": "Perception/single/0e19950d-7c0d-41a2-a7bb-bf3810b526ff_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image compression\nC.color distortion\nD.noise", "answer": "D"}
{"id": "6cda2349-7a63-4c02-af72-4b1faed6d725", "image_1": "Perception/single/6cda2349-7a63-4c02-af72-4b1faed6d725_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.noise\nC.haze\nD.No distortion", "answer": "B"}
{"id": "ca8ef4e1-e2a1-4653-aa7a-fb915fb05e5a", "image_1": "Perception/single/ca8ef4e1-e2a1-4653-aa7a-fb915fb05e5a_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.No distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "3f810022-d1e4-4146-8949-e725ded29fc7", "image_1": "Perception/single/3f810022-d1e4-4146-8949-e725ded29fc7_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.missing tiles\nC.noise\nD.image compression", "answer": "C"}
{"id": "6293a862-4514-4bd6-acc3-688af695f7f3", "image_1": "Perception/single/6293a862-4514-4bd6-acc3-688af695f7f3_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.dead pixel\nB.noise\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "c1d44f15-5cec-4e0d-bdd5-991e7bd7b293", "image_1": "Perception/single/c1d44f15-5cec-4e0d-bdd5-991e7bd7b293_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "d59d9201-52c3-40f4-8157-3c0e0deb4fd4", "image_1": "Perception/single/d59d9201-52c3-40f4-8157-3c0e0deb4fd4_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.No distortion\nB.blur\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "cc920360-d868-40e0-a00e-e604517d7288", "image_1": "Perception/single/cc920360-d868-40e0-a00e-e604517d7288_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.noise\nB.image stretching\nC.dead pixel\nD.color distortion", "answer": "A"}
{"id": "0d782855-e6e6-4879-8078-d10d7ff164dc", "image_1": "Perception/single/0d782855-e6e6-4879-8078-d10d7ff164dc_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.noise\nB.image compression\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "765e59dc-f78a-4cab-b922-b3728bb48e47", "image_1": "Perception/single/765e59dc-f78a-4cab-b922-b3728bb48e47_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.noise\nB.blur\nC.No distortion\nD.missing tiles", "answer": "A"}
{"id": "b844d920-b729-4da5-9f05-fd08aefd6487", "image_1": "Perception/single/b844d920-b729-4da5-9f05-fd08aefd6487_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.image stretching\nC.noise\nD.No distortion", "answer": "C"}
{"id": "c40b20b3-464a-40c8-8fbf-9afb6fad66c4", "image_1": "Perception/single/c40b20b3-464a-40c8-8fbf-9afb6fad66c4_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.noise\nD.No distortion", "answer": "D"}
{"id": "e7381be3-1c5e-40ae-a056-c1fc67188766", "image_1": "Perception/single/e7381be3-1c5e-40ae-a056-c1fc67188766_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.noise\nB.color distortion\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "e310bdf4-ee92-4526-913d-766f7cd23bbb", "image_1": "Perception/single/e310bdf4-ee92-4526-913d-766f7cd23bbb_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.cloud\nC.image stretching\nD.noise", "answer": "D"}
{"id": "4930419b-0d0e-488b-ac43-911e736ca2bd", "image_1": "Perception/single/4930419b-0d0e-488b-ac43-911e736ca2bd_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.noise\nB.No distortion\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "e36e33b3-7689-437c-964e-071d5a6242b3", "image_1": "Perception/single/e36e33b3-7689-437c-964e-071d5a6242b3_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.No distortion\nC.color distortion\nD.noise", "answer": "B"}
{"id": "48275065-1bf7-42fe-aaa3-b58d643bbac7", "image_1": "Perception/single/48275065-1bf7-42fe-aaa3-b58d643bbac7_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.missing tiles\nB.color distortion\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "de70e973-d87f-4b71-a31f-6afe281477e7", "image_1": "Perception/single/de70e973-d87f-4b71-a31f-6afe281477e7_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.noise\nB.dead pixel\nC.image stretching\nD.haze", "answer": "A"}
{"id": "50111d2b-c511-451f-9eff-a0483ebf90cd", "image_1": "Perception/single/50111d2b-c511-451f-9eff-a0483ebf90cd_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.haze\nC.noise\nD.No distortion", "answer": "C"}
{"id": "9eb1e7b9-a684-4d7a-a5c2-913aecca0412", "image_1": "Perception/single/9eb1e7b9-a684-4d7a-a5c2-913aecca0412_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.image stretching\nC.blur\nD.noise", "answer": "D"}
{"id": "fac210cc-4980-4634-8cd1-9cb2a1b7606c", "image_1": "Perception/single/fac210cc-4980-4634-8cd1-9cb2a1b7606c_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.noise\nB.dead pixel\nC.haze\nD.blur", "answer": "A"}
{"id": "f3c8a7e3-8b26-4d3d-b007-1a7dacdd6fdb", "image_1": "Perception/single/f3c8a7e3-8b26-4d3d-b007-1a7dacdd6fdb_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.color distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "b7da17bf-2c33-4685-a2f1-9905bab34724", "image_1": "Perception/single/b7da17bf-2c33-4685-a2f1-9905bab34724_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "09d42625-e611-454c-b5b9-1b414f5497b8", "image_1": "Perception/single/09d42625-e611-454c-b5b9-1b414f5497b8_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.haze\nC.cloud\nD.color distortion", "answer": "A"}
{"id": "6c9327e7-1c22-4cac-ae27-d0232c316f58", "image_1": "Perception/single/6c9327e7-1c22-4cac-ae27-d0232c316f58_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.missing tiles\nC.noise\nD.haze", "answer": "C"}
{"id": "89d16110-b712-4e70-9ed2-ddebc9b1fac4", "image_1": "Perception/single/89d16110-b712-4e70-9ed2-ddebc9b1fac4_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.haze\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "505ca3d8-7b59-4adc-8eba-b1b9bc95ae12", "image_1": "Perception/single/505ca3d8-7b59-4adc-8eba-b1b9bc95ae12_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.cloud\nC.missing tiles\nD.noise", "answer": "D"}
{"id": "eff44240-9447-45d3-abf5-67d8d13e6862", "image_1": "Perception/single/eff44240-9447-45d3-abf5-67d8d13e6862_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.cloud\nC.noise\nD.color distortion", "answer": "C"}
{"id": "6ab6b9d3-d77c-4a55-a7d8-14219cb487a7", "image_1": "Perception/single/6ab6b9d3-d77c-4a55-a7d8-14219cb487a7_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.noise\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "f800f90f-2e77-454c-9fba-7cd3bf34e2e3", "image_1": "Perception/single/f800f90f-2e77-454c-9fba-7cd3bf34e2e3_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.color distortion\nC.image compression\nD.noise", "answer": "D"}
{"id": "cd73406b-94f3-4ced-a515-216ab42f7025", "image_1": "Perception/single/cd73406b-94f3-4ced-a515-216ab42f7025_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.dead pixel\nC.haze\nD.color distortion", "answer": "A"}
{"id": "5f0ea04c-4fe3-4195-883f-b8ce71b80802", "image_1": "Perception/single/5f0ea04c-4fe3-4195-883f-b8ce71b80802_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.No distortion\nC.color distortion\nD.missing tiles", "answer": "B"}
{"id": "1adcc152-922c-4810-84b2-eb72d3e25fa7", "image_1": "Perception/single/1adcc152-922c-4810-84b2-eb72d3e25fa7_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.missing tiles\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "88b9f766-4647-4349-bbc4-7fc50730fa34", "image_1": "Perception/single/88b9f766-4647-4349-bbc4-7fc50730fa34_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.image compression\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "00e6b890-c9f0-4b0b-b46c-34c79d12f066", "image_1": "Perception/single/00e6b890-c9f0-4b0b-b46c-34c79d12f066_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.noise\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "aded60bd-892b-48ac-8479-115d86398271", "image_1": "Perception/single/aded60bd-892b-48ac-8479-115d86398271_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.image compression\nC.blur\nD.noise", "answer": "D"}
{"id": "216bb927-f582-491f-8f2e-0da367cb97dc", "image_1": "Perception/single/216bb927-f582-491f-8f2e-0da367cb97dc_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.image stretching\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "2a01d0c6-cef0-4d02-8f20-11b09eff2c71", "image_1": "Perception/single/2a01d0c6-cef0-4d02-8f20-11b09eff2c71_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.cloud\nC.haze\nD.noise", "answer": "D"}
{"id": "13b8df3a-1cbc-4259-89f4-13c00a3c2b1a", "image_1": "Perception/single/13b8df3a-1cbc-4259-89f4-13c00a3c2b1a_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.No distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "3583d52f-9c4d-435a-989d-cdfefd741304", "image_1": "Perception/single/3583d52f-9c4d-435a-989d-cdfefd741304_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.No distortion\nB.noise\nC.image compression\nD.haze", "answer": "B"}
{"id": "6612cf76-51de-4901-bf76-6a0ed699e851", "image_1": "Perception/single/6612cf76-51de-4901-bf76-6a0ed699e851_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "3a7097eb-68f6-45b0-a028-fc783a6e692d", "image_1": "Perception/single/3a7097eb-68f6-45b0-a028-fc783a6e692d_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "c1d269d9-46d1-4a22-8143-3d40f46a9f56", "image_1": "Perception/single/c1d269d9-46d1-4a22-8143-3d40f46a9f56_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.noise\nB.haze\nC.color distortion\nD.image compression", "answer": "A"}
{"id": "b2d9aa41-0ebe-43f6-bb38-9474b496044a", "image_1": "Perception/single/b2d9aa41-0ebe-43f6-bb38-9474b496044a_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.color distortion\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "bb82319a-83d6-4441-afec-d361c0c5af42", "image_1": "Perception/single/bb82319a-83d6-4441-afec-d361c0c5af42_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.missing tiles\nC.noise\nD.color distortion", "answer": "C"}
{"id": "4eeed133-c4b2-4175-bf0d-756214bcee02", "image_1": "Perception/single/4eeed133-c4b2-4175-bf0d-756214bcee02_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.noise\nC.dead pixel\nD.No distortion", "answer": "B"}
{"id": "47f2ed6b-2eb7-40d1-a306-e4330063aa60", "image_1": "Perception/single/47f2ed6b-2eb7-40d1-a306-e4330063aa60_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "A"}
{"id": "59f39c46-ad75-4b27-88fb-fc33794372c2", "image_1": "Perception/single/59f39c46-ad75-4b27-88fb-fc33794372c2_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.haze\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "662c571a-e558-4d23-8ea6-7ca576eeff47", "image_1": "Perception/single/662c571a-e558-4d23-8ea6-7ca576eeff47_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.image stretching\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "8b9f0c08-0e64-4cf1-bb5c-3a6f4e8438d2", "image_1": "Perception/single/8b9f0c08-0e64-4cf1-bb5c-3a6f4e8438d2_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.noise\nD.image compression", "answer": "C"}
{"id": "1827449b-144a-4241-9861-b88a9a69b98b", "image_1": "Perception/single/1827449b-144a-4241-9861-b88a9a69b98b_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.noise\nB.dead pixel\nC.No distortion\nD.cloud", "answer": "A"}
{"id": "80f25c50-00eb-4799-bdc3-79dbf1539d81", "image_1": "Perception/single/80f25c50-00eb-4799-bdc3-79dbf1539d81_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.missing tiles\nC.No distortion\nD.cloud", "answer": "C"}
{"id": "953b07b0-22cf-40c2-8823-e7cfc0c7b9c9", "image_1": "Perception/single/953b07b0-22cf-40c2-8823-e7cfc0c7b9c9_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.blur\nC.noise\nD.cloud", "answer": "C"}
{"id": "88c23dfd-afd4-4223-bb1c-710f6b20a601", "image_1": "Perception/single/88c23dfd-afd4-4223-bb1c-710f6b20a601_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.cloud\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "6fceb5c8-59d2-46f7-9f16-e464bf2d5171", "image_1": "Perception/single/6fceb5c8-59d2-46f7-9f16-e464bf2d5171_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image compression\nC.haze\nD.noise", "answer": "D"}
{"id": "b90940e5-d4e5-48f4-9bf9-bf8d8219ae1a", "image_1": "Perception/single/b90940e5-d4e5-48f4-9bf9-bf8d8219ae1a_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.image compression\nC.noise\nD.cloud", "answer": "C"}
{"id": "049ce4bb-1c41-4606-80b5-9256c49c5fdf", "image_1": "Perception/single/049ce4bb-1c41-4606-80b5-9256c49c5fdf_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.missing tiles\nC.image compression\nD.noise", "answer": "A"}
{"id": "ded85a94-079b-43af-951f-c214a2456e0a", "image_1": "Perception/single/ded85a94-079b-43af-951f-c214a2456e0a_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.cloud\nB.image compression\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "3334583f-fc48-411a-947e-eeed78f5db5a", "image_1": "Perception/single/3334583f-fc48-411a-947e-eeed78f5db5a_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.cloud\nC.No distortion\nD.noise", "answer": "D"}
{"id": "68911d9a-8b55-403d-8c01-aadebc7bb359", "image_1": "Perception/single/68911d9a-8b55-403d-8c01-aadebc7bb359_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.color distortion\nC.No distortion\nD.blur", "answer": "A"}
{"id": "99ed23e9-bc03-4bd0-b4a1-18f6b2013489", "image_1": "Perception/single/99ed23e9-bc03-4bd0-b4a1-18f6b2013489_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "ab0bec5a-8b12-4640-9688-47e1f0ba7a70", "image_1": "Perception/single/ab0bec5a-8b12-4640-9688-47e1f0ba7a70_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.blur\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "8df1ce02-6dac-43bb-88ed-bd7f155d5939", "image_1": "Perception/single/8df1ce02-6dac-43bb-88ed-bd7f155d5939_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.noise\nC.blur\nD.image stretching", "answer": "B"}
{"id": "cd8b5d81-aaef-4e67-a496-2e612ff4ca0f", "image_1": "Perception/single/cd8b5d81-aaef-4e67-a496-2e612ff4ca0f_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.dead pixel\nC.image stretching\nD.blur", "answer": "A"}
{"id": "a95f37be-1151-4c82-8efc-d09a2c02d9c4", "image_1": "Perception/single/a95f37be-1151-4c82-8efc-d09a2c02d9c4_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.cloud\nD.noise", "answer": "D"}
{"id": "d0a014ab-9f7c-44db-b111-727243762f85", "image_1": "Perception/single/d0a014ab-9f7c-44db-b111-727243762f85_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.noise\nD.dead pixel", "answer": "C"}
{"id": "55d360a4-5885-4ef6-b036-943392d4c0ea", "image_1": "Perception/single/55d360a4-5885-4ef6-b036-943392d4c0ea_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.missing tiles\nB.image stretching\nC.No distortion\nD.haze", "answer": "C"}
{"id": "1be13953-d4bb-476f-89ef-b9c541cc8513", "image_1": "Perception/single/1be13953-d4bb-476f-89ef-b9c541cc8513_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.noise\nB.blur\nC.cloud\nD.color distortion", "answer": "A"}
{"id": "1a91ddbf-e80b-44e4-a1b8-498e5343ac31", "image_1": "Perception/single/1a91ddbf-e80b-44e4-a1b8-498e5343ac31_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.haze\nC.blur\nD.image compression", "answer": "A"}
{"id": "9713df31-be1c-4894-b42b-f48bae7250ad", "image_1": "Perception/single/9713df31-be1c-4894-b42b-f48bae7250ad_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.color distortion\nC.image stretching\nD.No distortion", "answer": "A"}
{"id": "5076d0eb-4721-459f-9ce5-d6256a6128b0", "image_1": "Perception/single/5076d0eb-4721-459f-9ce5-d6256a6128b0_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.blur\nC.noise\nD.No distortion", "answer": "C"}
{"id": "7f19a6fc-b9f8-4450-a5ae-610cc4f6d0df", "image_1": "Perception/single/7f19a6fc-b9f8-4450-a5ae-610cc4f6d0df_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.missing tiles\nB.No distortion\nC.image compression\nD.haze", "answer": "B"}
{"id": "109f1dda-d6ac-42de-9291-9f181f8f4279", "image_1": "Perception/single/109f1dda-d6ac-42de-9291-9f181f8f4279_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.color distortion\nC.noise\nD.blur", "answer": "C"}
{"id": "c0f5441f-98c1-49cd-80c8-805632ce1235", "image_1": "Perception/single/c0f5441f-98c1-49cd-80c8-805632ce1235_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.noise\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "42be40d0-1faa-4f13-acf4-a54436fc0aad", "image_1": "Perception/single/42be40d0-1faa-4f13-acf4-a54436fc0aad_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.No distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "be7fbf21-d5a7-438d-8852-70ce8faede72", "image_1": "Perception/single/be7fbf21-d5a7-438d-8852-70ce8faede72_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.color distortion\nC.noise\nD.haze", "answer": "C"}
{"id": "0658551b-9872-4bd0-a25f-cfb9f645a8f6", "image_1": "Perception/single/0658551b-9872-4bd0-a25f-cfb9f645a8f6_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.blur\nC.color distortion\nD.cloud", "answer": "A"}
{"id": "20afe147-ccc0-4910-a062-e73b5b2c9b3b", "image_1": "Perception/single/20afe147-ccc0-4910-a062-e73b5b2c9b3b_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.cloud\nB.haze\nC.noise\nD.No distortion", "answer": "C"}
{"id": "d9bf0acd-7a3e-4c40-9002-0214de308654", "image_1": "Perception/single/d9bf0acd-7a3e-4c40-9002-0214de308654_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "7eaaef34-76cb-4281-a61c-c2aa75112d6b", "image_1": "Perception/single/7eaaef34-76cb-4281-a61c-c2aa75112d6b_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.image stretching\nD.noise", "answer": "D"}
{"id": "f19da534-9980-4bad-a683-b7a3a9ccf1a3", "image_1": "Perception/single/f19da534-9980-4bad-a683-b7a3a9ccf1a3_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.dead pixel\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "81ae6fce-3c90-45ff-9c06-61a441ef1905", "image_1": "Perception/single/81ae6fce-3c90-45ff-9c06-61a441ef1905_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.haze\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "3e253696-4319-44f1-92cd-5fa26f8ee0ff", "image_1": "Perception/single/3e253696-4319-44f1-92cd-5fa26f8ee0ff_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.No distortion\nC.color distortion\nD.dead pixel", "answer": "B"}
{"id": "1c386c22-c299-4985-b019-fcc65e87c1b5", "image_1": "Perception/single/1c386c22-c299-4985-b019-fcc65e87c1b5_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "28faec94-f23d-44c0-b0d7-8227fac31887", "image_1": "Perception/single/28faec94-f23d-44c0-b0d7-8227fac31887_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.dead pixel\nC.No distortion\nD.blur", "answer": "C"}
{"id": "9edc65c2-e5ab-4ce9-9d32-bd0eb9ac0976", "image_1": "Perception/single/9edc65c2-e5ab-4ce9-9d32-bd0eb9ac0976_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.blur\nC.image stretching\nD.noise", "answer": "D"}
{"id": "77ff894e-5f78-4de9-8bda-a6ea641dfeca", "image_1": "Perception/single/77ff894e-5f78-4de9-8bda-a6ea641dfeca_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.noise\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "581218e8-816a-4cc8-b990-d1573115962d", "image_1": "Perception/single/581218e8-816a-4cc8-b990-d1573115962d_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.noise", "answer": "D"}
{"id": "2e602ad3-9a6f-4d8c-8933-c7bbf069db08", "image_1": "Perception/single/2e602ad3-9a6f-4d8c-8933-c7bbf069db08_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.color distortion\nC.noise\nD.cloud", "answer": "C"}
{"id": "f88ad422-6997-4551-a7cd-042427b222e4", "image_1": "Perception/single/f88ad422-6997-4551-a7cd-042427b222e4_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.dead pixel\nC.image compression\nD.noise", "answer": "D"}
{"id": "253ee915-fc6c-49c1-b9f4-4053616b5011", "image_1": "Perception/single/253ee915-fc6c-49c1-b9f4-4053616b5011_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.cloud\nB.haze\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "2728f56d-6a0b-4da7-ad81-bea94df09989", "image_1": "Perception/single/2728f56d-6a0b-4da7-ad81-bea94df09989_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "b6ea258f-9eeb-4b4f-88ee-e1232f6f14eb", "image_1": "Perception/single/b6ea258f-9eeb-4b4f-88ee-e1232f6f14eb_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.image compression\nD.blur", "answer": "B"}
{"id": "2ecb501c-f9ca-45bd-a206-d8239cac8820", "image_1": "Perception/single/2ecb501c-f9ca-45bd-a206-d8239cac8820_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.image stretching\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "8d035bfd-a475-4222-b47b-07bf7bd7c679", "image_1": "Perception/single/8d035bfd-a475-4222-b47b-07bf7bd7c679_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.noise\nC.blur\nD.image compression", "answer": "B"}
{"id": "2958f193-e31c-4e73-8208-684a5b0791fa", "image_1": "Perception/single/2958f193-e31c-4e73-8208-684a5b0791fa_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image stretching\nC.noise\nD.dead pixel", "answer": "C"}
{"id": "4baba74d-58fa-4063-95bb-b7eb8c20de5f", "image_1": "Perception/single/4baba74d-58fa-4063-95bb-b7eb8c20de5f_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.cloud\nC.missing tiles\nD.dead pixel", "answer": "A"}
{"id": "3ba10370-3a07-4bd7-ba82-2caf36c66f6a", "image_1": "Perception/single/3ba10370-3a07-4bd7-ba82-2caf36c66f6a_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.cloud\nB.image compression\nC.noise\nD.No distortion", "answer": "D"}
{"id": "a6fb2a15-c9d8-48f1-8d9f-ed82f854a46d", "image_1": "Perception/single/a6fb2a15-c9d8-48f1-8d9f-ed82f854a46d_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.noise\nC.haze\nD.missing tiles", "answer": "B"}
{"id": "5b07ac6d-2f2a-4202-b75e-6d4bd072bb51", "image_1": "Perception/single/5b07ac6d-2f2a-4202-b75e-6d4bd072bb51_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.noise\nC.dead pixel\nD.haze", "answer": "B"}
{"id": "0a9fdeff-2ea7-4a60-9111-01a05a4e39e9", "image_1": "Perception/single/0a9fdeff-2ea7-4a60-9111-01a05a4e39e9_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image compression\nC.color distortion\nD.noise", "answer": "D"}
{"id": "cb4a1ee4-f23a-4f95-bc61-51d1ff823277", "image_1": "Perception/single/cb4a1ee4-f23a-4f95-bc61-51d1ff823277_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.noise\nC.haze\nD.No distortion", "answer": "B"}
{"id": "658ad2b0-93e5-45cc-918b-841d28a79bf0", "image_1": "Perception/single/658ad2b0-93e5-45cc-918b-841d28a79bf0_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.No distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "be1db7a4-fc41-428a-a2a3-1ab44dcdec20", "image_1": "Perception/single/be1db7a4-fc41-428a-a2a3-1ab44dcdec20_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.missing tiles\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "420a71ce-fa2e-445b-b71b-34c7a152056c", "image_1": "Perception/single/420a71ce-fa2e-445b-b71b-34c7a152056c_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.dead pixel\nB.noise\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "7bdacefa-09a9-4eca-84f2-b3363ef3e797", "image_1": "Perception/single/7bdacefa-09a9-4eca-84f2-b3363ef3e797_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "f3009b07-cbab-4738-bc15-fcbd6bcc2b27", "image_1": "Perception/single/f3009b07-cbab-4738-bc15-fcbd6bcc2b27_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.cloud\nB.blur\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "efe478e2-c599-4f75-bbf9-6b44ab0108b4", "image_1": "Perception/single/efe478e2-c599-4f75-bbf9-6b44ab0108b4_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.noise\nB.image stretching\nC.dead pixel\nD.color distortion", "answer": "A"}
{"id": "cdf58f13-63c2-4eec-8426-177090c3ec82", "image_1": "Perception/single/cdf58f13-63c2-4eec-8426-177090c3ec82_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.noise\nB.image compression\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "8601fe52-4288-4fb9-8e3f-b0d6964d5270", "image_1": "Perception/single/8601fe52-4288-4fb9-8e3f-b0d6964d5270_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.noise\nB.blur\nC.No distortion\nD.missing tiles", "answer": "A"}
{"id": "79431a1c-1fed-49a3-a1e3-973e5a510201", "image_1": "Perception/single/79431a1c-1fed-49a3-a1e3-973e5a510201_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.image stretching\nC.noise\nD.No distortion", "answer": "C"}
{"id": "618bc926-04a1-40c7-a07a-eec57acec1ca", "image_1": "Perception/single/618bc926-04a1-40c7-a07a-eec57acec1ca_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.noise\nD.No distortion", "answer": "D"}
{"id": "2b205fc5-0ef5-4780-9901-7a51c7bc1c5b", "image_1": "Perception/single/2b205fc5-0ef5-4780-9901-7a51c7bc1c5b_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.noise\nB.color distortion\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "7256ac74-9e0f-4c7f-bf41-55eaaa76663e", "image_1": "Perception/single/7256ac74-9e0f-4c7f-bf41-55eaaa76663e_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.noise\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "c1665f8d-1b53-4d16-ac36-7c84522045a0", "image_1": "Perception/single/c1665f8d-1b53-4d16-ac36-7c84522045a0_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.noise\nB.No distortion\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "8bccd344-0300-4b94-bad9-b5d4db66920e", "image_1": "Perception/single/8bccd344-0300-4b94-bad9-b5d4db66920e_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.noise\nC.color distortion\nD.cloud", "answer": "B"}
{"id": "f4e2856e-06c5-416f-b386-1200fe8f1b76", "image_1": "Perception/single/f4e2856e-06c5-416f-b386-1200fe8f1b76_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.missing tiles\nB.color distortion\nC.noise\nD.image compression", "answer": "C"}
{"id": "b4d930d7-4a99-4646-b1c3-fcc3941834ce", "image_1": "Perception/single/b4d930d7-4a99-4646-b1c3-fcc3941834ce_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.noise\nB.dead pixel\nC.image stretching\nD.haze", "answer": "A"}
{"id": "9a35364a-aa80-4119-893f-915b61fb5895", "image_1": "Perception/single/9a35364a-aa80-4119-893f-915b61fb5895_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.haze\nC.noise\nD.No distortion", "answer": "C"}
{"id": "b4e89230-70ff-4c06-826e-8735f88946f0", "image_1": "Perception/single/b4e89230-70ff-4c06-826e-8735f88946f0_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.image stretching\nC.blur\nD.noise", "answer": "D"}
{"id": "eceb4bd7-abe8-4340-8f3c-84a2146f2d63", "image_1": "Perception/single/eceb4bd7-abe8-4340-8f3c-84a2146f2d63_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.noise\nB.dead pixel\nC.haze\nD.blur", "answer": "A"}
{"id": "50bd2a14-a93d-48fe-b01d-1091fc8310e4", "image_1": "Perception/single/50bd2a14-a93d-48fe-b01d-1091fc8310e4_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.color distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "ed0f1da5-b9cd-4e8d-b243-11c08225401b", "image_1": "Perception/single/ed0f1da5-b9cd-4e8d-b243-11c08225401b_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "a58ee492-e203-47ed-b557-967f131f9b84", "image_1": "Perception/single/a58ee492-e203-47ed-b557-967f131f9b84_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.haze\nC.cloud\nD.color distortion", "answer": "A"}
{"id": "d8244239-4fca-4f16-8a7d-2b86ae891972", "image_1": "Perception/single/d8244239-4fca-4f16-8a7d-2b86ae891972_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.missing tiles\nC.No distortion\nD.haze", "answer": "C"}
{"id": "a337283c-dec7-43e8-a930-f539ed1a9eac", "image_1": "Perception/single/a337283c-dec7-43e8-a930-f539ed1a9eac_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.haze\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "acdfcec4-161e-4cd0-b9ed-9d94657ff10f", "image_1": "Perception/single/acdfcec4-161e-4cd0-b9ed-9d94657ff10f_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.cloud\nC.missing tiles\nD.noise", "answer": "D"}
{"id": "13e9f5e6-cdd0-49f7-b95c-fa336824972c", "image_1": "Perception/single/13e9f5e6-cdd0-49f7-b95c-fa336824972c_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "09830e96-2e72-4c64-a70b-77ead886c277", "image_1": "Perception/single/09830e96-2e72-4c64-a70b-77ead886c277_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.noise\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "97fdc64f-e1b7-4bd3-91c5-c3b00608c88a", "image_1": "Perception/single/97fdc64f-e1b7-4bd3-91c5-c3b00608c88a_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.color distortion\nC.image compression\nD.noise", "answer": "D"}
{"id": "65cf08a0-cfef-4b63-a996-ca3df283e4a2", "image_1": "Perception/single/65cf08a0-cfef-4b63-a996-ca3df283e4a2_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.dead pixel\nC.haze\nD.color distortion", "answer": "A"}
{"id": "57a3a850-7661-40b8-9c27-53bce74fbd4c", "image_1": "Perception/single/57a3a850-7661-40b8-9c27-53bce74fbd4c_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.noise\nC.color distortion\nD.missing tiles", "answer": "B"}
{"id": "84d8c103-10e0-4bcf-8e3d-e8baad734f51", "image_1": "Perception/single/84d8c103-10e0-4bcf-8e3d-e8baad734f51_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "8ec3c8e5-edf6-45cd-8882-39d018be10be", "image_1": "Perception/single/8ec3c8e5-edf6-45cd-8882-39d018be10be_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.image compression\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "8ad38962-6bc6-42c3-b845-bc1920b1f609", "image_1": "Perception/single/8ad38962-6bc6-42c3-b845-bc1920b1f609_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.noise\nB.cloud\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "d4cd7af9-a2ce-46bc-accd-ddb8013314b2", "image_1": "Perception/single/d4cd7af9-a2ce-46bc-accd-ddb8013314b2_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.image compression\nC.blur\nD.noise", "answer": "D"}
{"id": "64448dc8-c228-42c3-a4a7-f1b73aef412d", "image_1": "Perception/single/64448dc8-c228-42c3-a4a7-f1b73aef412d_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.image stretching\nC.noise\nD.image compression", "answer": "C"}
{"id": "e5c04c19-bf67-4cba-b7bc-6a0d79e7feeb", "image_1": "Perception/single/e5c04c19-bf67-4cba-b7bc-6a0d79e7feeb_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.noise\nC.haze\nD.No distortion", "answer": "D"}
{"id": "57e4814d-4791-47bc-9980-166c95d81fb0", "image_1": "Perception/single/57e4814d-4791-47bc-9980-166c95d81fb0_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.No distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "01f85389-42d1-4cae-83de-fd0f80703327", "image_1": "Perception/single/01f85389-42d1-4cae-83de-fd0f80703327_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.No distortion\nB.noise\nC.image compression\nD.haze", "answer": "B"}
{"id": "1d469151-4833-4b6d-9505-960f5419a86c", "image_1": "Perception/single/1d469151-4833-4b6d-9505-960f5419a86c_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.No distortion\nC.noise\nD.blur", "answer": "B"}
{"id": "b8ddb1fd-0b5e-471f-80e5-fa8f558926ea", "image_1": "Perception/single/b8ddb1fd-0b5e-471f-80e5-fa8f558926ea_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.cloud\nC.noise\nD.color distortion", "answer": "C"}
{"id": "b1f1faac-dc2c-4c8d-857d-27b4fc2d16c7", "image_1": "Perception/single/b1f1faac-dc2c-4c8d-857d-27b4fc2d16c7_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.No distortion\nB.haze\nC.color distortion\nD.image compression", "answer": "A"}
{"id": "a9a0b7f1-ef3b-4dde-b277-a3ad8bd5ba08", "image_1": "Perception/single/a9a0b7f1-ef3b-4dde-b277-a3ad8bd5ba08_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.No distortion\nB.color distortion\nC.noise\nD.missing tiles", "answer": "A"}
{"id": "bbd234cf-8a5b-4ec2-a046-75e38f2489c9", "image_1": "Perception/single/bbd234cf-8a5b-4ec2-a046-75e38f2489c9_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.missing tiles\nC.noise\nD.color distortion", "answer": "C"}
{"id": "e4e12718-b9be-4f55-8d82-ebed61c04fac", "image_1": "Perception/single/e4e12718-b9be-4f55-8d82-ebed61c04fac_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.noise\nC.dead pixel\nD.No distortion", "answer": "B"}
{"id": "4f259a6c-ef03-4881-bc39-ce1483d99fed", "image_1": "Perception/single/4f259a6c-ef03-4881-bc39-ce1483d99fed_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.noise\nB.missing tiles\nC.dead pixel\nD.cloud", "answer": "A"}
{"id": "a13549aa-6d58-47cf-ab9e-5f49a95c6f5d", "image_1": "Perception/single/a13549aa-6d58-47cf-ab9e-5f49a95c6f5d_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.haze\nC.image stretching\nD.noise", "answer": "D"}
{"id": "bea23cc9-a731-4dcf-8e8b-085efbf7fc1d", "image_1": "Perception/single/bea23cc9-a731-4dcf-8e8b-085efbf7fc1d_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.image stretching\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "15d7c4de-5061-4066-84d0-cd7c6ee8ef75", "image_1": "Perception/single/15d7c4de-5061-4066-84d0-cd7c6ee8ef75_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.noise\nD.image compression", "answer": "C"}
{"id": "f1b3eedd-1436-4350-908c-3bfb948cc58d", "image_1": "Perception/single/f1b3eedd-1436-4350-908c-3bfb948cc58d_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.noise\nB.dead pixel\nC.No distortion\nD.cloud", "answer": "A"}
{"id": "25eb1d2b-dbf2-491c-86e0-1fae8950fbf9", "image_1": "Perception/single/25eb1d2b-dbf2-491c-86e0-1fae8950fbf9_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.missing tiles\nC.noise\nD.No distortion", "answer": "C"}
{"id": "1d77329f-cac0-40ee-934a-7f7452a6abe0", "image_1": "Perception/single/1d77329f-cac0-40ee-934a-7f7452a6abe0_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.blur\nC.noise\nD.cloud", "answer": "C"}
{"id": "cd8dabc1-9372-4c8f-9c53-8e88b38e650b", "image_1": "Perception/single/cd8dabc1-9372-4c8f-9c53-8e88b38e650b_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.cloud\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "9862a3fa-65cb-4b50-b868-35ec2ae67567", "image_1": "Perception/single/9862a3fa-65cb-4b50-b868-35ec2ae67567_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image compression\nC.haze\nD.No distortion", "answer": "D"}
{"id": "ce3922d3-10db-42e8-9349-821265c81eca", "image_1": "Perception/single/ce3922d3-10db-42e8-9349-821265c81eca_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.image compression\nC.noise\nD.cloud", "answer": "C"}
{"id": "2760e180-c541-4cac-b3ef-2275dd78f17a", "image_1": "Perception/single/2760e180-c541-4cac-b3ef-2275dd78f17a_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.noise\nB.missing tiles\nC.image compression\nD.cloud", "answer": "A"}
{"id": "2d7669fd-5dfb-4d1f-a932-36498597b50a", "image_1": "Perception/single/2d7669fd-5dfb-4d1f-a932-36498597b50a_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.cloud\nB.image compression\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "dbea8028-7c28-49f4-82cc-fc57a4d5544f", "image_1": "Perception/single/dbea8028-7c28-49f4-82cc-fc57a4d5544f_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.cloud\nC.No distortion\nD.noise", "answer": "D"}
{"id": "bf9a123e-34cb-481f-8fdf-eca3e00073a1", "image_1": "Perception/single/bf9a123e-34cb-481f-8fdf-eca3e00073a1_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.color distortion\nC.No distortion\nD.blur", "answer": "A"}
{"id": "f7e69e43-139d-4b84-aad7-3ca24e90d437", "image_1": "Perception/single/f7e69e43-139d-4b84-aad7-3ca24e90d437_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "78937da9-1ad7-4373-917c-a61473d380b0", "image_1": "Perception/single/78937da9-1ad7-4373-917c-a61473d380b0_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.noise\nB.blur\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "15e11f44-51df-464d-bc45-89669e69b0cf", "image_1": "Perception/single/15e11f44-51df-464d-bc45-89669e69b0cf_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.noise\nC.blur\nD.image stretching", "answer": "B"}
{"id": "8a7a4ed8-f84e-48a2-b3e2-11edd68c9af2", "image_1": "Perception/single/8a7a4ed8-f84e-48a2-b3e2-11edd68c9af2_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.dead pixel\nC.image stretching\nD.blur", "answer": "A"}
{"id": "95ad2da4-eaed-4448-ba2d-bc5b8c8b0d9f", "image_1": "Perception/single/95ad2da4-eaed-4448-ba2d-bc5b8c8b0d9f_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.cloud\nD.noise", "answer": "D"}
{"id": "80e8a64b-72e5-4e17-b941-3af476edbc22", "image_1": "Perception/single/80e8a64b-72e5-4e17-b941-3af476edbc22_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.noise\nD.dead pixel", "answer": "C"}
{"id": "f338a68e-c92c-4bfe-863e-ef77cb3761f1", "image_1": "Perception/single/f338a68e-c92c-4bfe-863e-ef77cb3761f1_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.missing tiles\nB.image stretching\nC.noise\nD.haze", "answer": "C"}
{"id": "7ef31e3c-ef02-411b-a759-4588d7b11f7b", "image_1": "Perception/single/7ef31e3c-ef02-411b-a759-4588d7b11f7b_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.noise\nB.blur\nC.cloud\nD.color distortion", "answer": "A"}
{"id": "fd95843d-46f8-4d5b-af51-c056e88a58d4", "image_1": "Perception/single/fd95843d-46f8-4d5b-af51-c056e88a58d4_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.haze\nC.blur\nD.image compression", "answer": "A"}
{"id": "387646a6-a985-4400-b0d7-34215c2b179b", "image_1": "Perception/single/387646a6-a985-4400-b0d7-34215c2b179b_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.color distortion\nC.image stretching\nD.No distortion", "answer": "A"}
{"id": "35c788ad-c847-4e94-9263-cbf69a83cf66", "image_1": "Perception/single/35c788ad-c847-4e94-9263-cbf69a83cf66_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.blur\nC.noise\nD.No distortion", "answer": "C"}
{"id": "3083a298-9ac8-4638-bc52-4ff1bfb4f9e9", "image_1": "Perception/single/3083a298-9ac8-4638-bc52-4ff1bfb4f9e9_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.missing tiles\nB.No distortion\nC.image compression\nD.haze", "answer": "B"}
{"id": "03b4770d-e7b5-440e-b478-2c0e19a0024d", "image_1": "Perception/single/03b4770d-e7b5-440e-b478-2c0e19a0024d_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.color distortion\nC.noise\nD.blur", "answer": "C"}
{"id": "99faeb6a-a372-4434-8517-f386409891db", "image_1": "Perception/single/99faeb6a-a372-4434-8517-f386409891db_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.noise\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "ac7ca091-d7b2-419d-ad74-e1f038678f93", "image_1": "Perception/single/ac7ca091-d7b2-419d-ad74-e1f038678f93_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.No distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "b191b9f7-b316-4ccc-81bb-61d2141ff4fd", "image_1": "Perception/single/b191b9f7-b316-4ccc-81bb-61d2141ff4fd_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.color distortion\nC.noise\nD.haze", "answer": "C"}
{"id": "42349a8f-3108-46da-92ae-742eb5c337b8", "image_1": "Perception/single/42349a8f-3108-46da-92ae-742eb5c337b8_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.blur\nC.color distortion\nD.No distortion", "answer": "A"}
{"id": "018eb32c-d584-4196-a69a-62642aa5b765", "image_1": "Perception/single/018eb32c-d584-4196-a69a-62642aa5b765_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.cloud\nB.haze\nC.noise\nD.No distortion", "answer": "C"}
{"id": "32514f40-707f-449d-9edd-627d1b52496f", "image_1": "Perception/single/32514f40-707f-449d-9edd-627d1b52496f_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "ab3b7472-7f9d-458f-9f14-3d6263b04d7b", "image_1": "Perception/single/ab3b7472-7f9d-458f-9f14-3d6263b04d7b_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.image stretching\nD.noise", "answer": "D"}
{"id": "99448c34-f4c9-4334-8c07-904358fed9c1", "image_1": "Perception/single/99448c34-f4c9-4334-8c07-904358fed9c1_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.dead pixel\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "7829f665-603e-4b31-b217-8c67afa7d3f7", "image_1": "Perception/single/7829f665-603e-4b31-b217-8c67afa7d3f7_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.haze\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "c0a885ae-40e5-4822-8f72-c63afacdcd03", "image_1": "Perception/single/c0a885ae-40e5-4822-8f72-c63afacdcd03_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.noise\nC.color distortion\nD.dead pixel", "answer": "B"}
{"id": "9a4a08fa-f3cb-475c-b5dd-84de601712bf", "image_1": "Perception/single/9a4a08fa-f3cb-475c-b5dd-84de601712bf_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "53ebab17-7a66-4638-a1f7-0cd5087eb45b", "image_1": "Perception/single/53ebab17-7a66-4638-a1f7-0cd5087eb45b_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.dead pixel\nC.noise\nD.blur", "answer": "C"}
{"id": "97c77240-b0c9-4938-94a1-47596a6589eb", "image_1": "Perception/single/97c77240-b0c9-4938-94a1-47596a6589eb_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.blur\nC.image stretching\nD.noise", "answer": "D"}
{"id": "2fc84b6c-169f-4db3-aa74-8f058cace29e", "image_1": "Perception/single/2fc84b6c-169f-4db3-aa74-8f058cace29e_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.noise\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "dc998ab0-7ea3-4902-8991-8db02c35436a", "image_1": "Perception/single/dc998ab0-7ea3-4902-8991-8db02c35436a_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.noise", "answer": "D"}
{"id": "f242decf-ae9d-4c85-b27a-101ba00c87a3", "image_1": "Perception/single/f242decf-ae9d-4c85-b27a-101ba00c87a3_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.color distortion\nC.noise\nD.cloud", "answer": "C"}
{"id": "44e11ecc-3317-4548-bd59-e20442668208", "image_1": "Perception/single/44e11ecc-3317-4548-bd59-e20442668208_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.dead pixel\nC.image compression\nD.noise", "answer": "D"}
{"id": "d37940cb-5d15-40f6-95cc-b4a90ee77d62", "image_1": "Perception/single/d37940cb-5d15-40f6-95cc-b4a90ee77d62_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.cloud\nB.haze\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "153d6137-f4f3-4c36-90d3-790e22e1e1d7", "image_1": "Perception/single/153d6137-f4f3-4c36-90d3-790e22e1e1d7_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "1a59224f-81f5-423e-8013-94ba3c132120", "image_1": "Perception/single/1a59224f-81f5-423e-8013-94ba3c132120_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.No distortion\nC.image compression\nD.blur", "answer": "B"}
{"id": "dba08bcb-fe0e-4498-81b9-b736b9761a27", "image_1": "Perception/single/dba08bcb-fe0e-4498-81b9-b736b9761a27_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.noise\nB.image stretching\nC.No distortion\nD.dead pixel", "answer": "A"}
{"id": "fb5adf40-312e-4b54-8040-176ffe9a3846", "image_1": "Perception/single/fb5adf40-312e-4b54-8040-176ffe9a3846_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.noise\nC.blur\nD.image compression", "answer": "B"}
{"id": "29e2dc48-f8c5-4057-983e-ca6abb0ea851", "image_1": "Perception/single/29e2dc48-f8c5-4057-983e-ca6abb0ea851_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image stretching\nC.noise\nD.dead pixel", "answer": "C"}
{"id": "d6295399-5dd4-4629-bff9-a29953d4e954", "image_1": "Perception/single/d6295399-5dd4-4629-bff9-a29953d4e954_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.cloud\nC.missing tiles\nD.dead pixel", "answer": "A"}
{"id": "28f7980b-d2aa-4cab-87e1-6002cdfcb682", "image_1": "Perception/single/28f7980b-d2aa-4cab-87e1-6002cdfcb682_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.image compression\nC.cloud\nD.noise", "answer": "D"}
{"id": "234338b3-84cb-4278-9177-3d4b427b628d", "image_1": "Perception/single/234338b3-84cb-4278-9177-3d4b427b628d_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.noise\nC.haze\nD.missing tiles", "answer": "B"}
{"id": "477f3258-44d7-4387-b0dc-7b9b8861169d", "image_1": "Perception/single/477f3258-44d7-4387-b0dc-7b9b8861169d_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.No distortion\nC.dead pixel\nD.haze", "answer": "B"}
{"id": "8e9a6809-14bc-43b3-b6c0-59742f02c96f", "image_1": "Perception/single/8e9a6809-14bc-43b3-b6c0-59742f02c96f_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.image compression\nC.color distortion\nD.noise", "answer": "D"}
{"id": "eddce3b3-f0ae-4235-8f86-2385f74e0854", "image_1": "Perception/single/eddce3b3-f0ae-4235-8f86-2385f74e0854_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.noise\nC.haze\nD.No distortion", "answer": "B"}
{"id": "5824ba99-f8e9-4e91-912d-6140609d889a", "image_1": "Perception/single/5824ba99-f8e9-4e91-912d-6140609d889a_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.No distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "e73c209d-cc74-46a4-b90b-32cfe43dea12", "image_1": "Perception/single/e73c209d-cc74-46a4-b90b-32cfe43dea12_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.missing tiles\nC.noise\nD.image compression", "answer": "C"}
{"id": "63156521-11d3-4779-8454-dfd043cbc289", "image_1": "Perception/single/63156521-11d3-4779-8454-dfd043cbc289_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.dead pixel\nB.noise\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "5a4f7e77-3d19-4fe6-8d7b-03d4094a8956", "image_1": "Perception/single/5a4f7e77-3d19-4fe6-8d7b-03d4094a8956_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "2561f039-fc15-4410-991b-a8fba8a6d35b", "image_1": "Perception/single/2561f039-fc15-4410-991b-a8fba8a6d35b_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.No distortion\nB.blur\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "62a173cd-bfab-41ad-806f-dcfd4c1efef1", "image_1": "Perception/single/62a173cd-bfab-41ad-806f-dcfd4c1efef1_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.No distortion\nB.image stretching\nC.dead pixel\nD.color distortion", "answer": "A"}
{"id": "dbd177cd-0e2a-42c9-a810-98bd63ffa791", "image_1": "Perception/single/dbd177cd-0e2a-42c9-a810-98bd63ffa791_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.noise\nB.image compression\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "bd2976ad-6541-4934-9f8e-06b76c79e82f", "image_1": "Perception/single/bd2976ad-6541-4934-9f8e-06b76c79e82f_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "5f1e4ae6-6918-4cc2-82a8-2f4cb37c31af", "image_1": "Perception/single/5f1e4ae6-6918-4cc2-82a8-2f4cb37c31af_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.image stretching\nC.noise\nD.No distortion", "answer": "C"}
{"id": "8bca2353-5cd0-4e37-b374-b65199bcd066", "image_1": "Perception/single/8bca2353-5cd0-4e37-b374-b65199bcd066_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.noise\nD.No distortion", "answer": "D"}
{"id": "e795487d-1403-41eb-a0c4-243e9f8675ab", "image_1": "Perception/single/e795487d-1403-41eb-a0c4-243e9f8675ab_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.noise\nB.color distortion\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "b483f3f3-4309-4421-8528-d9a3cec8f2c4", "image_1": "Perception/single/b483f3f3-4309-4421-8528-d9a3cec8f2c4_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.noise\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "1b1aef6e-0d23-47c0-8ea9-203c5f869366", "image_1": "Perception/single/1b1aef6e-0d23-47c0-8ea9-203c5f869366_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.noise\nB.No distortion\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "40bc70fd-75ca-4583-8d46-b2395242985f", "image_1": "Perception/single/40bc70fd-75ca-4583-8d46-b2395242985f_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.noise\nC.color distortion\nD.cloud", "answer": "B"}
{"id": "e24fb106-8c0f-4047-932c-f82463f3c210", "image_1": "Perception/single/e24fb106-8c0f-4047-932c-f82463f3c210_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.missing tiles\nB.color distortion\nC.noise\nD.image compression", "answer": "C"}
{"id": "7f0aa3c7-8209-4968-ac87-a0b78362c891", "image_1": "Perception/single/7f0aa3c7-8209-4968-ac87-a0b78362c891_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.noise\nB.dead pixel\nC.image stretching\nD.haze", "answer": "A"}
{"id": "14f77ec2-fe06-40da-8f94-e207489474bb", "image_1": "Perception/single/14f77ec2-fe06-40da-8f94-e207489474bb_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.haze\nC.noise\nD.No distortion", "answer": "C"}
{"id": "1fb1b6eb-257e-4ae1-afff-5b6ea54ceec9", "image_1": "Perception/single/1fb1b6eb-257e-4ae1-afff-5b6ea54ceec9_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.image stretching\nC.blur\nD.No distortion", "answer": "D"}
{"id": "4e9a12dc-b76b-4f0c-92d6-ae3cf2415d7d", "image_1": "Perception/single/4e9a12dc-b76b-4f0c-92d6-ae3cf2415d7d_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.noise\nB.dead pixel\nC.haze\nD.blur", "answer": "A"}
{"id": "d6bc977f-11ef-4890-a289-308a1ab6ee5c", "image_1": "Perception/single/d6bc977f-11ef-4890-a289-308a1ab6ee5c_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.color distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "9aca395e-b4ef-4a26-9c3e-c7fc2b1afadb", "image_1": "Perception/single/9aca395e-b4ef-4a26-9c3e-c7fc2b1afadb_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.No distortion\nD.missing tiles", "answer": "C"}
{"id": "d32a4cf5-2284-4e25-8042-16c164c463fe", "image_1": "Perception/single/d32a4cf5-2284-4e25-8042-16c164c463fe_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.haze\nC.cloud\nD.color distortion", "answer": "A"}
{"id": "2695d8ad-506e-4fec-bf5d-53c248795030", "image_1": "Perception/single/2695d8ad-506e-4fec-bf5d-53c248795030_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.missing tiles\nC.noise\nD.haze", "answer": "C"}
{"id": "86212057-9558-459f-81d4-5a8a2348ac79", "image_1": "Perception/single/86212057-9558-459f-81d4-5a8a2348ac79_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.haze\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "a0a7a021-80b8-4a9d-8afd-33321a51b3ce", "image_1": "Perception/single/a0a7a021-80b8-4a9d-8afd-33321a51b3ce_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.cloud\nB.noise\nC.missing tiles\nD.No distortion", "answer": "D"}
{"id": "6ab075a0-3934-4ed7-bb1f-c4320cebd2f5", "image_1": "Perception/single/6ab075a0-3934-4ed7-bb1f-c4320cebd2f5_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "a1bfc13f-c6f0-4fe5-8941-0a3238f97e9c", "image_1": "Perception/single/a1bfc13f-c6f0-4fe5-8941-0a3238f97e9c_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.cloud\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "ac82c3dd-a141-4a90-8c37-938f2fbc46f6", "image_1": "Perception/single/ac82c3dd-a141-4a90-8c37-938f2fbc46f6_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.color distortion\nC.image compression\nD.noise", "answer": "D"}
{"id": "dedb0676-ce85-4787-b5a9-4acd650fdf0b", "image_1": "Perception/single/dedb0676-ce85-4787-b5a9-4acd650fdf0b_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.No distortion\nB.dead pixel\nC.haze\nD.color distortion", "answer": "A"}
{"id": "8af8895f-611a-4ac3-9f0b-559dbd9a5be1", "image_1": "Perception/single/8af8895f-611a-4ac3-9f0b-559dbd9a5be1_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.noise\nC.color distortion\nD.missing tiles", "answer": "B"}
{"id": "ce4c8d67-8706-4e13-8e89-186439568c9c", "image_1": "Perception/single/ce4c8d67-8706-4e13-8e89-186439568c9c_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "583a0660-e315-4329-976d-834d087399e7", "image_1": "Perception/single/583a0660-e315-4329-976d-834d087399e7_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.image compression\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "7d3ef303-12a1-45c1-9e95-e0b84cdc74dc", "image_1": "Perception/single/7d3ef303-12a1-45c1-9e95-e0b84cdc74dc_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.No distortion\nB.noise\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "5ff273bd-6440-4e8d-90ea-8bd0508bcae3", "image_1": "Perception/single/5ff273bd-6440-4e8d-90ea-8bd0508bcae3_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.image compression\nC.blur\nD.noise", "answer": "D"}
{"id": "f003145c-fc18-4638-b99d-8175783caad3", "image_1": "Perception/single/f003145c-fc18-4638-b99d-8175783caad3_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.image stretching\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "010f40b8-9d42-4b04-a9c9-2cb0ac6e13f0", "image_1": "Perception/single/010f40b8-9d42-4b04-a9c9-2cb0ac6e13f0_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.cloud\nC.haze\nD.noise", "answer": "D"}
{"id": "8010b982-da2d-4862-9f24-99278256dbca", "image_1": "Perception/single/8010b982-da2d-4862-9f24-99278256dbca_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.No distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "048b52e8-dd46-43f0-a632-625642d2bea2", "image_1": "Perception/single/048b52e8-dd46-43f0-a632-625642d2bea2_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.No distortion\nB.noise\nC.image compression\nD.haze", "answer": "B"}
{"id": "df34af52-b9fe-4496-8098-ab810f18022c", "image_1": "Perception/single/df34af52-b9fe-4496-8098-ab810f18022c_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "5e479be6-d73b-4815-a6d9-e490bbb6c9f9", "image_1": "Perception/single/5e479be6-d73b-4815-a6d9-e490bbb6c9f9_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "444f38e0-8e31-4393-a2d5-f4fac0b99765", "image_1": "Perception/single/444f38e0-8e31-4393-a2d5-f4fac0b99765_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.noise\nB.haze\nC.color distortion\nD.image compression", "answer": "A"}
{"id": "df3e87bb-8170-4167-b2a5-b6d50d053ba8", "image_1": "Perception/single/df3e87bb-8170-4167-b2a5-b6d50d053ba8_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.color distortion\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "b8fd435c-4086-4bb6-8b9f-b122a8821c47", "image_1": "Perception/single/b8fd435c-4086-4bb6-8b9f-b122a8821c47_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.missing tiles\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "2adeee41-4f34-4f21-8756-54641958de7d", "image_1": "Perception/single/2adeee41-4f34-4f21-8756-54641958de7d_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.noise\nC.dead pixel\nD.No distortion", "answer": "B"}
{"id": "77e3b6f5-69c1-46f1-b7be-b88e0c2e26cd", "image_1": "Perception/single/77e3b6f5-69c1-46f1-b7be-b88e0c2e26cd_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.noise\nB.missing tiles\nC.dead pixel\nD.cloud", "answer": "A"}
{"id": "6a360cee-9ce6-4dbe-9a6e-33d7129752a5", "image_1": "Perception/single/6a360cee-9ce6-4dbe-9a6e-33d7129752a5_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.cloud\nB.haze\nC.image stretching\nD.No distortion", "answer": "D"}
{"id": "b9bee8a4-2076-4243-a88f-9ed44a0247a3", "image_1": "Perception/single/b9bee8a4-2076-4243-a88f-9ed44a0247a3_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.image stretching\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "b85693d1-823b-4e7b-8ec3-512e9282ac86", "image_1": "Perception/single/b85693d1-823b-4e7b-8ec3-512e9282ac86_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "22af46cf-fa98-4478-b7ca-4bdca43833b0", "image_1": "Perception/single/22af46cf-fa98-4478-b7ca-4bdca43833b0_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.noise\nB.dead pixel\nC.No distortion\nD.cloud", "answer": "A"}
{"id": "b3435fb0-3ab7-42d3-bdde-ad461a9ab03f", "image_1": "Perception/single/b3435fb0-3ab7-42d3-bdde-ad461a9ab03f_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.missing tiles\nC.noise\nD.No distortion", "answer": "C"}
{"id": "801bfed0-d941-4904-96fe-9800efb6f4e1", "image_1": "Perception/single/801bfed0-d941-4904-96fe-9800efb6f4e1_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.blur\nC.noise\nD.cloud", "answer": "C"}
{"id": "b6e2b0f1-eb81-42a3-b009-8f442b49341a", "image_1": "Perception/single/b6e2b0f1-eb81-42a3-b009-8f442b49341a_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.cloud\nC.No distortion\nD.image compression", "answer": "C"}
{"id": "d702760e-73a2-42dd-82f1-7ae11cc44de0", "image_1": "Perception/single/d702760e-73a2-42dd-82f1-7ae11cc44de0_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.color distortion\nB.image compression\nC.haze\nD.noise", "answer": "D"}
{"id": "31eb5229-a64a-4a15-91fa-618b820d2189", "image_1": "Perception/single/31eb5229-a64a-4a15-91fa-618b820d2189_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.image compression\nC.noise\nD.cloud", "answer": "C"}
{"id": "440759f6-04e8-4895-b5c0-8539f3af47f6", "image_1": "Perception/single/440759f6-04e8-4895-b5c0-8539f3af47f6_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.missing tiles\nC.image compression\nD.noise", "answer": "A"}
{"id": "42e4b7d3-8706-4009-835f-5c5946c106d1", "image_1": "Perception/single/42e4b7d3-8706-4009-835f-5c5946c106d1_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.image compression\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "40303ffc-2e22-4da7-96e1-23d062c99d64", "image_1": "Perception/single/40303ffc-2e22-4da7-96e1-23d062c99d64_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.color distortion\nB.cloud\nC.No distortion\nD.noise", "answer": "D"}
{"id": "de3ba57d-c71b-4ee9-b6d0-c3d13e805217", "image_1": "Perception/single/de3ba57d-c71b-4ee9-b6d0-c3d13e805217_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.color distortion\nC.No distortion\nD.blur", "answer": "A"}
{"id": "c33410fd-101a-423d-afc9-10d46af4ff2c", "image_1": "Perception/single/c33410fd-101a-423d-afc9-10d46af4ff2c_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image compression\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "f253920f-6ccc-43f3-a642-bb5056016ecc", "image_1": "Perception/single/f253920f-6ccc-43f3-a642-bb5056016ecc_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.blur\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "5687567c-9c83-42aa-bf61-b53d452811e0", "image_1": "Perception/single/5687567c-9c83-42aa-bf61-b53d452811e0_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.cloud\nB.noise\nC.blur\nD.image stretching", "answer": "B"}
{"id": "49f26115-5d77-47e1-982f-f6ce519b20d7", "image_1": "Perception/single/49f26115-5d77-47e1-982f-f6ce519b20d7_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.noise\nB.dead pixel\nC.image stretching\nD.blur", "answer": "A"}
{"id": "9509fba5-9d7d-4d64-9fa3-d60ee8344696", "image_1": "Perception/single/9509fba5-9d7d-4d64-9fa3-d60ee8344696_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.blur\nB.image compression\nC.cloud\nD.noise", "answer": "D"}
{"id": "bbc83d7e-63a0-4020-92eb-4f78c2df692b", "image_1": "Perception/single/bbc83d7e-63a0-4020-92eb-4f78c2df692b_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.No distortion\nB.blur\nC.noise\nD.dead pixel", "answer": "C"}
{"id": "561758c6-7c9b-4447-8f07-6c1c0308d0b2", "image_1": "Perception/single/561758c6-7c9b-4447-8f07-6c1c0308d0b2_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.missing tiles\nB.image stretching\nC.noise\nD.haze", "answer": "C"}
{"id": "0f59bff0-4a7c-425a-ade1-63e9e1a483e5", "image_1": "Perception/single/0f59bff0-4a7c-425a-ade1-63e9e1a483e5_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.noise\nB.blur\nC.cloud\nD.color distortion", "answer": "A"}
{"id": "510d06fb-ad65-48b5-9c08-0a5b0a4b9bf8", "image_1": "Perception/single/510d06fb-ad65-48b5-9c08-0a5b0a4b9bf8_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.haze\nC.blur\nD.image compression", "answer": "A"}
{"id": "de797d87-218b-4b5d-984f-e776adba7caa", "image_1": "Perception/single/de797d87-218b-4b5d-984f-e776adba7caa_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.No distortion\nB.color distortion\nC.image stretching\nD.cloud", "answer": "A"}
{"id": "4eaf1df1-12a1-46b5-9e07-3f980ade03f5", "image_1": "Perception/single/4eaf1df1-12a1-46b5-9e07-3f980ade03f5_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.color distortion\nB.blur\nC.noise\nD.No distortion", "answer": "C"}
{"id": "7101104a-418c-486e-b118-9ff09f4a4f4f", "image_1": "Perception/single/7101104a-418c-486e-b118-9ff09f4a4f4f_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.missing tiles\nB.noise\nC.image compression\nD.haze", "answer": "B"}
{"id": "19057814-676b-4c7f-a1e8-5ed192e242e8", "image_1": "Perception/single/19057814-676b-4c7f-a1e8-5ed192e242e8_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.color distortion\nC.noise\nD.blur", "answer": "C"}
{"id": "db5fef7b-7e8d-4f74-b3c9-fc2ed5231060", "image_1": "Perception/single/db5fef7b-7e8d-4f74-b3c9-fc2ed5231060_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.noise\nC.image stretching\nD.image compression", "answer": "B"}
{"id": "16302409-d4c2-489e-aff5-fdb7764afb8a", "image_1": "Perception/single/16302409-d4c2-489e-aff5-fdb7764afb8a_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.cloud\nB.No distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "8d5d6797-d807-4597-b5a1-2dbbbdfd2ac4", "image_1": "Perception/single/8d5d6797-d807-4597-b5a1-2dbbbdfd2ac4_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.color distortion\nC.No distortion\nD.haze", "answer": "C"}
{"id": "16637f9c-a46c-450d-8497-6b891b7a7950", "image_1": "Perception/single/16637f9c-a46c-450d-8497-6b891b7a7950_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.No distortion\nB.blur\nC.color distortion\nD.cloud", "answer": "A"}
{"id": "f3bf7a18-678f-4b2c-a05d-3d75fd5399ee", "image_1": "Perception/single/f3bf7a18-678f-4b2c-a05d-3d75fd5399ee_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.cloud\nB.haze\nC.noise\nD.No distortion", "answer": "C"}
{"id": "ca2778e6-482a-4014-8470-01794b0d5048", "image_1": "Perception/single/ca2778e6-482a-4014-8470-01794b0d5048_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image compression\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "d3ca6ebb-29ad-4c11-91fc-cea959ef6944", "image_1": "Perception/single/d3ca6ebb-29ad-4c11-91fc-cea959ef6944_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.image compression\nB.blur\nC.image stretching\nD.noise", "answer": "D"}
{"id": "f687fb3a-6067-4e38-a666-c16447fa3e3f", "image_1": "Perception/single/f687fb3a-6067-4e38-a666-c16447fa3e3f_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.image stretching\nB.dead pixel\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "f8cf6341-5453-4ef4-b9e9-0fd60758c05b", "image_1": "Perception/single/f8cf6341-5453-4ef4-b9e9-0fd60758c05b_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.haze\nC.noise\nD.color distortion", "answer": "C"}
{"id": "c93199d8-efa5-4124-981a-c1d511cab8ed", "image_1": "Perception/single/c93199d8-efa5-4124-981a-c1d511cab8ed_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.noise\nB.No distortion\nC.color distortion\nD.dead pixel", "answer": "B"}
{"id": "e9a0cb81-2df3-49e1-8bea-3fa06b8c52a5", "image_1": "Perception/single/e9a0cb81-2df3-49e1-8bea-3fa06b8c52a5_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.image compression\nB.cloud\nC.noise\nD.color distortion", "answer": "C"}
{"id": "ddd3ebba-1f86-4add-a77e-c1be79d40553", "image_1": "Perception/single/ddd3ebba-1f86-4add-a77e-c1be79d40553_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.haze\nB.dead pixel\nC.noise\nD.blur", "answer": "C"}
{"id": "f4eceea1-794a-4fd0-9d65-0b735d62e285", "image_1": "Perception/single/f4eceea1-794a-4fd0-9d65-0b735d62e285_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.blur\nC.image stretching\nD.noise", "answer": "D"}
{"id": "806a1ba0-2db9-429c-99a7-0fb8a7df18dc", "image_1": "Perception/single/806a1ba0-2db9-429c-99a7-0fb8a7df18dc_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.missing tiles\nB.No distortion\nC.dead pixel\nD.image stretching", "answer": "B"}
{"id": "48a340b8-1d19-4455-ba6b-88209fdae012", "image_1": "Perception/single/48a340b8-1d19-4455-ba6b-88209fdae012_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.missing tiles\nC.image compression\nD.noise", "answer": "D"}
{"id": "0a0d6d70-001d-4563-b11e-532170e5b968", "image_1": "Perception/single/0a0d6d70-001d-4563-b11e-532170e5b968_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.No distortion\nB.color distortion\nC.noise\nD.cloud", "answer": "C"}
{"id": "25589585-1858-4afa-87fc-8fc4bc082165", "image_1": "Perception/single/25589585-1858-4afa-87fc-8fc4bc082165_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.No distortion\nB.dead pixel\nC.image compression\nD.noise", "answer": "D"}
{"id": "4850540f-a972-4181-88a1-9c5e5df6d911", "image_1": "Perception/single/4850540f-a972-4181-88a1-9c5e5df6d911_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.No distortion\nB.haze\nC.noise\nD.image compression", "answer": "C"}
{"id": "7dd965c4-8fe0-4812-bc22-47c75192991a", "image_1": "Perception/single/7dd965c4-8fe0-4812-bc22-47c75192991a_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.image stretching\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "8192974c-f001-46cc-bb9a-e49874c8bd11", "image_1": "Perception/single/8192974c-f001-46cc-bb9a-e49874c8bd11_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.dead pixel\nB.noise\nC.image compression\nD.blur", "answer": "B"}
{"id": "3a7728a4-9ee8-4f02-af9c-c5c8f3a014e7", "image_1": "Perception/single/3a7728a4-9ee8-4f02-af9c-c5c8f3a014e7_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.noise\nB.image stretching\nC.No distortion\nD.dead pixel", "answer": "A"}
{"id": "2a677c38-3ff6-4958-b631-265ae2ef31e7", "image_1": "Perception/single/2a677c38-3ff6-4958-b631-265ae2ef31e7_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.noise\nC.blur\nD.image compression", "answer": "B"}
{"id": "650b7879-be67-4783-9193-abb0eb7449a2", "image_1": "Perception/single/650b7879-be67-4783-9193-abb0eb7449a2_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image stretching\nC.No distortion\nD.dead pixel", "answer": "C"}
{"id": "4a6437b6-acca-427f-8671-f90cc49cdf8b", "image_1": "Perception/single/4a6437b6-acca-427f-8671-f90cc49cdf8b_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.cloud\nC.missing tiles\nD.dead pixel", "answer": "A"}
{"id": "36b342ab-c9ff-438a-ad89-b4c6dc556c37", "image_1": "Perception/single/36b342ab-c9ff-438a-ad89-b4c6dc556c37_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.No distortion\nB.image compression\nC.cloud\nD.noise", "answer": "D"}
{"id": "b389b260-8d34-4ff7-b646-66b6a01a2cb5", "image_1": "Perception/single/b389b260-8d34-4ff7-b646-66b6a01a2cb5_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.blur\nB.noise\nC.haze\nD.missing tiles", "answer": "B"}
{"id": "82616f24-912d-4696-a14d-5c0f6c445a97", "image_1": "Perception/single/82616f24-912d-4696-a14d-5c0f6c445a97_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.noise\nC.dead pixel\nD.haze", "answer": "B"}
{"id": "5cbc7470-e6fd-46f6-8469-00a80609afbb", "image_1": "Perception/single/5cbc7470-e6fd-46f6-8469-00a80609afbb_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.cloud\nB.image compression\nC.color distortion\nD.No distortion", "answer": "D"}
{"id": "6406f908-7171-42b1-b511-5b8721c1f85a", "image_1": "Perception/single/6406f908-7171-42b1-b511-5b8721c1f85a_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.missing tiles\nB.No distortion\nC.haze\nD.cloud", "answer": "B"}
{"id": "20d492e6-ce07-4403-896d-711ef9ffdeae", "image_1": "Perception/single/20d492e6-ce07-4403-896d-711ef9ffdeae_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.missing tiles\nB.No distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "986a3892-b0c1-432d-a033-4ab464ff4452", "image_1": "Perception/single/986a3892-b0c1-432d-a033-4ab464ff4452_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.missing tiles\nC.noise\nD.image compression", "answer": "C"}
{"id": "e3e2392c-682d-485c-93d6-1ca5b4f3ee3a", "image_1": "Perception/single/e3e2392c-682d-485c-93d6-1ca5b4f3ee3a_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.dead pixel\nB.No distortion\nC.blur\nD.missing tiles", "answer": "B"}
{"id": "0ca2d1b1-2a52-4d35-ade1-352b32a0868c", "image_1": "Perception/single/0ca2d1b1-2a52-4d35-ade1-352b32a0868c_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.image stretching\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "c5d0e6db-7e87-4793-8c0c-cbd279466023", "image_1": "Perception/single/c5d0e6db-7e87-4793-8c0c-cbd279466023_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.cloud\nB.blur\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "b403324e-5a29-4d34-a330-0b7b4f7f329c", "image_1": "Perception/single/b403324e-5a29-4d34-a330-0b7b4f7f329c_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.noise\nB.image stretching\nC.dead pixel\nD.color distortion", "answer": "A"}
{"id": "1b778765-6d17-46eb-914f-8bbe5af9fc50", "image_1": "Perception/single/1b778765-6d17-46eb-914f-8bbe5af9fc50_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.noise\nB.image compression\nC.cloud\nD.dead pixel", "answer": "A"}
{"id": "40e68535-0993-4d2a-a24e-6723a2bf79d4", "image_1": "Perception/single/40e68535-0993-4d2a-a24e-6723a2bf79d4_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.noise\nB.blur\nC.No distortion\nD.missing tiles", "answer": "A"}
{"id": "9489549a-2270-4971-935e-324b53a8ebe0", "image_1": "Perception/single/9489549a-2270-4971-935e-324b53a8ebe0_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.blur\nB.image stretching\nC.noise\nD.No distortion", "answer": "C"}
{"id": "c6be3c34-73c6-412f-b31f-1fc924fb015b", "image_1": "Perception/single/c6be3c34-73c6-412f-b31f-1fc924fb015b_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.image stretching\nB.dead pixel\nC.noise\nD.No distortion", "answer": "D"}
{"id": "da2b9669-8879-401f-9933-5e14a98f808b", "image_1": "Perception/single/da2b9669-8879-401f-9933-5e14a98f808b_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.noise\nB.color distortion\nC.image stretching\nD.image compression", "answer": "A"}
{"id": "a4f3f474-5231-44cb-918a-ab816418b4ab", "image_1": "Perception/single/a4f3f474-5231-44cb-918a-ab816418b4ab_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.haze\nB.cloud\nC.image stretching\nD.noise", "answer": "D"}
{"id": "2e7b689b-b2b1-4916-97a2-ee83cabc398b", "image_1": "Perception/single/2e7b689b-b2b1-4916-97a2-ee83cabc398b_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.noise\nB.No distortion\nC.color distortion\nD.missing tiles", "answer": "A"}
{"id": "94186a25-8a45-4ef4-be1b-d7e0ee5a4c47", "image_1": "Perception/single/94186a25-8a45-4ef4-be1b-d7e0ee5a4c47_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.dead pixel\nB.No distortion\nC.color distortion\nD.noise", "answer": "B"}
{"id": "8c4cfc39-458c-4175-926e-f35dacfaf5e2", "image_1": "Perception/single/8c4cfc39-458c-4175-926e-f35dacfaf5e2_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.missing tiles\nB.color distortion\nC.noise\nD.image compression", "answer": "C"}
{"id": "367ef1b5-b075-41bd-9da9-b117b12e59f2", "image_1": "Perception/single/367ef1b5-b075-41bd-9da9-b117b12e59f2_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.noise\nB.dead pixel\nC.image stretching\nD.haze", "answer": "A"}
{"id": "89bfe457-4d08-4f74-8df4-b248045ce4db", "image_1": "Perception/single/89bfe457-4d08-4f74-8df4-b248045ce4db_0.png", "image_2": null, "question": "What type of distortion is visible here?\nA.blur\nB.haze\nC.noise\nD.No distortion", "answer": "C"}
{"id": "42668f30-a5df-4543-b123-f1ce6ce2042b", "image_1": "Perception/single/42668f30-a5df-4543-b123-f1ce6ce2042b_0.png", "image_2": null, "question": "What is the primary type of artifact affecting this image?\nA.dead pixel\nB.image stretching\nC.blur\nD.noise", "answer": "D"}
{"id": "cdf07951-4935-4029-90cd-dd73bde36af1", "image_1": "Perception/single/cdf07951-4935-4029-90cd-dd73bde36af1_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.noise\nB.dead pixel\nC.haze\nD.blur", "answer": "A"}
{"id": "93cf9f78-0eed-43de-b9fe-29fb3f05a3d0", "image_1": "Perception/single/93cf9f78-0eed-43de-b9fe-29fb3f05a3d0_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.dead pixel\nB.color distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "4d2c4d20-ebbf-4d96-aad8-960e47d86811", "image_1": "Perception/single/4d2c4d20-ebbf-4d96-aad8-960e47d86811_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.haze\nB.image compression\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "183d0e32-444c-42f0-b811-9f543856eb75", "image_1": "Perception/single/183d0e32-444c-42f0-b811-9f543856eb75_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.haze\nC.cloud\nD.color distortion", "answer": "A"}
{"id": "ef651d8a-82b2-4d7e-a0ce-59cfd35157ec", "image_1": "Perception/single/ef651d8a-82b2-4d7e-a0ce-59cfd35157ec_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.dead pixel\nB.missing tiles\nC.No distortion\nD.haze", "answer": "C"}
{"id": "79215431-78f7-4e2a-8e43-6d6bdddaee43", "image_1": "Perception/single/79215431-78f7-4e2a-8e43-6d6bdddaee43_0.png", "image_2": null, "question": "What specific degradation is observed in this satellite image?\nA.dead pixel\nB.haze\nC.noise\nD.missing tiles", "answer": "C"}
{"id": "1dfd555b-e9cd-4de3-b516-3bfd27ef1598", "image_1": "Perception/single/1dfd555b-e9cd-4de3-b516-3bfd27ef1598_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.cloud\nB.noise\nC.missing tiles\nD.No distortion", "answer": "D"}
{"id": "58eae56c-5ece-42d4-8236-64e7be0a5b28", "image_1": "Perception/single/58eae56c-5ece-42d4-8236-64e7be0a5b28_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.noise\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "2f542ce7-0ca0-4031-b87c-2a80f729546f", "image_1": "Perception/single/2f542ce7-0ca0-4031-b87c-2a80f729546f_0.png", "image_2": null, "question": "What kind of image flaw is dominant in this remote sensing observation?\nA.haze\nB.noise\nC.dead pixel\nD.No distortion", "answer": "D"}
{"id": "480e3e8b-d9eb-475d-b18f-d14dee59e12b", "image_1": "Perception/single/480e3e8b-d9eb-475d-b18f-d14dee59e12b_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.dead pixel\nB.color distortion\nC.image compression\nD.No distortion", "answer": "D"}
{"id": "4aa4409a-f0ad-4234-bab0-1007b406e885", "image_1": "Perception/single/4aa4409a-f0ad-4234-bab0-1007b406e885_0.png", "image_2": null, "question": "What category of image defect does this remote sensing image show?\nA.noise\nB.dead pixel\nC.haze\nD.color distortion", "answer": "A"}
{"id": "3399285e-6731-4101-85a5-297e5acb6a12", "image_1": "Perception/single/3399285e-6731-4101-85a5-297e5acb6a12_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image compression\nB.No distortion\nC.color distortion\nD.missing tiles", "answer": "B"}
{"id": "d537fc43-d10f-4c0f-858a-18ddf98fb06c", "image_1": "Perception/single/d537fc43-d10f-4c0f-858a-18ddf98fb06c_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.image compression\nB.missing tiles\nC.dead pixel\nD.noise", "answer": "D"}
{"id": "7da44378-f1bb-45d8-b46f-f9e77d4848d5", "image_1": "Perception/single/7da44378-f1bb-45d8-b46f-f9e77d4848d5_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.image compression\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "b6bd97b9-2cb8-45ef-bcca-706698592f51", "image_1": "Perception/single/b6bd97b9-2cb8-45ef-bcca-706698592f51_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.noise\nB.cloud\nC.haze\nD.missing tiles", "answer": "A"}
{"id": "d5dc8e60-3b2e-4fbe-8f32-abb6fb051a14", "image_1": "Perception/single/d5dc8e60-3b2e-4fbe-8f32-abb6fb051a14_0.png", "image_2": null, "question": "What type of distortion is present in this remote sensing image?\nA.haze\nB.image compression\nC.blur\nD.No distortion", "answer": "D"}
{"id": "37522503-4ce6-4400-bae2-3bb53df1786b", "image_1": "Perception/single/37522503-4ce6-4400-bae2-3bb53df1786b_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.blur\nB.image stretching\nC.noise\nD.image compression", "answer": "C"}
{"id": "ff7eb5a6-308b-447d-8a8f-3a4bfcedc617", "image_1": "Perception/single/ff7eb5a6-308b-447d-8a8f-3a4bfcedc617_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.missing tiles\nB.cloud\nC.haze\nD.noise", "answer": "D"}
{"id": "4dedf690-44f6-4c86-a0b7-f9a1156e286e", "image_1": "Perception/single/4dedf690-44f6-4c86-a0b7-f9a1156e286e_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.No distortion\nC.blur\nD.noise", "answer": "D"}
{"id": "ef3e9aec-64dc-451c-b094-34ddb92a3b82", "image_1": "Perception/single/ef3e9aec-64dc-451c-b094-34ddb92a3b82_0.png", "image_2": null, "question": "What visual defect does this image exhibit?\nA.No distortion\nB.noise\nC.image compression\nD.haze", "answer": "B"}
{"id": "c83362d0-61f7-4ecf-93ed-50aa7156402e", "image_1": "Perception/single/c83362d0-61f7-4ecf-93ed-50aa7156402e_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.dead pixel\nB.noise\nC.cloud\nD.blur", "answer": "B"}
{"id": "57d644ac-eaad-4cfd-ba2b-8f8cd3d7b922", "image_1": "Perception/single/57d644ac-eaad-4cfd-ba2b-8f8cd3d7b922_0.png", "image_2": null, "question": "What is the primary distortion type in this image?\nA.image stretching\nB.cloud\nC.noise\nD.color distortion", "answer": "C"}
{"id": "f9316243-180a-4f61-8920-c63f041b714b", "image_1": "Perception/single/f9316243-180a-4f61-8920-c63f041b714b_0.png", "image_2": null, "question": "What distortion is present in the image?\nA.noise\nB.haze\nC.color distortion\nD.image compression", "answer": "A"}
{"id": "cb1d5e45-1794-44d7-969d-3317e8ce1e0b", "image_1": "Perception/single/cb1d5e45-1794-44d7-969d-3317e8ce1e0b_0.png", "image_2": null, "question": "What is the main cause of degradation in this image?\nA.noise\nB.color distortion\nC.cloud\nD.missing tiles", "answer": "A"}
{"id": "c9f66667-c5b5-4399-a6ac-61dd43d342c6", "image_1": "Perception/single/c9f66667-c5b5-4399-a6ac-61dd43d342c6_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.cloud\nB.missing tiles\nC.No distortion\nD.color distortion", "answer": "C"}
{"id": "f577ab60-5c3f-4939-bb52-d4920bd5e282", "image_1": "Perception/single/f577ab60-5c3f-4939-bb52-d4920bd5e282_0.png", "image_2": null, "question": "Identify the main type of corruption in this image.\nA.haze\nB.noise\nC.dead pixel\nD.No distortion", "answer": "B"}
{"id": "0b190447-8616-41bb-9dbb-7347f7d38f9d", "image_1": "Perception/single/0b190447-8616-41bb-9dbb-7347f7d38f9d_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.noise\nB.missing tiles\nC.dead pixel\nD.cloud", "answer": "A"}
{"id": "11d5d356-2ce7-4fd9-9d38-6203efbf1a55", "image_1": "Perception/single/11d5d356-2ce7-4fd9-9d38-6203efbf1a55_0.png", "image_2": null, "question": "Which distortion most significantly degrades this remote sensing image?\nA.No distortion\nB.haze\nC.image stretching\nD.noise", "answer": "D"}
{"id": "af3df264-5ff1-4320-8728-53ec6cbcd2bc", "image_1": "Perception/single/af3df264-5ff1-4320-8728-53ec6cbcd2bc_0.png", "image_2": null, "question": "Which distortion most significantly affects this image?\nA.noise\nB.image stretching\nC.color distortion\nD.dead pixel", "answer": "A"}
{"id": "d9346c28-b10a-4b91-9c2a-7eadc3829f5b", "image_1": "Perception/single/d9346c28-b10a-4b91-9c2a-7eadc3829f5b_0.png", "image_2": null, "question": "What form of distortion is most apparent here?\nA.image stretching\nB.haze\nC.noise\nD.image compression", "answer": "C"}
{"id": "0120a83b-a6a8-4108-8055-400f2931e72e", "image_1": "Perception/single/0120a83b-a6a8-4108-8055-400f2931e72e_0.png", "image_2": null, "question": "What category of distortion does this image belong to?\nA.No distortion\nB.dead pixel\nC.cloud\nD.noise", "answer": "A"}
{"id": "04ae8505-aa00-482a-afed-066b612b7642", "image_1": "Perception/single/04ae8505-aa00-482a-afed-066b612b7642_0.png", "image_2": null, "question": "What is the dominant distortion affecting this image?\nA.haze\nB.missing tiles\nC.noise\nD.No distortion", "answer": "C"}
{"id": "02f6d165-10b6-4abe-a242-fbe004cda7dd", "image_1": "Perception/single/02f6d165-10b6-4abe-a242-fbe004cda7dd_0.png", "image_2": null, "question": "What is the dominant distortion in this image?\nA.image stretching\nB.blur\nC.noise\nD.cloud", "answer": "C"}
{"id": "2a4d906f-9a9f-4202-8eea-736a66e3f5e0", "image_1": "Perception/single/2a4d906f-9a9f-4202-8eea-736a66e3f5e0_0.png", "image_2": null, "question": "Does deadline noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "fa2d7638-8ae1-4686-bb1a-976bdf16d71b", "image_1": "Perception/single/fa2d7638-8ae1-4686-bb1a-976bdf16d71b_0.png", "image_2": null, "question": "Does sidelobe interference interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "be66de4b-10f4-4783-a9a2-5055368ff1b9", "image_1": "Perception/single/be66de4b-10f4-4783-a9a2-5055368ff1b9_0.png", "image_2": null, "question": "Does sidelobe interference compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "0619c316-0a15-48ee-bda5-1e44f5cfa63b", "image_1": "Perception/single/0619c316-0a15-48ee-bda5-1e44f5cfa63b_0.png", "image_2": null, "question": "Is image compression apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "d7f9331d-191e-4e1e-9385-d59bf2fcb990", "image_1": "Perception/single/d7f9331d-191e-4e1e-9385-d59bf2fcb990_0.png", "image_2": null, "question": "Is gaussian noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "cb960806-8040-464c-b37c-f2ec796dc365", "image_1": "Perception/single/cb960806-8040-464c-b37c-f2ec796dc365_0.png", "image_2": null, "question": "Does this image contain sidelobe interference?\nA.Yes\nB.No", "answer": "A"}
{"id": "989f6057-6723-423b-97ea-804500ada909", "image_1": "Perception/single/989f6057-6723-423b-97ea-804500ada909_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "1c911b98-e7d6-4710-8366-c92ec5dd7a97", "image_1": "Perception/single/1c911b98-e7d6-4710-8366-c92ec5dd7a97_0.png", "image_2": null, "question": "Is sidelobe interference responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "7b317b38-5673-46ec-9005-b6ccf288a1aa", "image_1": "Perception/single/7b317b38-5673-46ec-9005-b6ccf288a1aa_0.png", "image_2": null, "question": "Does this image contain missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "fdb87845-fcf1-42ae-b7a2-805b8b390ea7", "image_1": "Perception/single/fdb87845-fcf1-42ae-b7a2-805b8b390ea7_0.png", "image_2": null, "question": "Does this image contain missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "0d056c01-f2b1-411a-b3cd-a1f0b3dee600", "image_1": "Perception/single/0d056c01-f2b1-411a-b3cd-a1f0b3dee600_0.png", "image_2": null, "question": "Does the image exhibit sidelobe interference?\nA.Yes\nB.No", "answer": "A"}
{"id": "a50dc4f5-ce64-4bda-9ac0-612ac6917cb0", "image_1": "Perception/single/a50dc4f5-ce64-4bda-9ac0-612ac6917cb0_0.png", "image_2": null, "question": "Is there missing tiles present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "5b3eedca-2b1d-4006-bd9a-93b9d122a7d3", "image_1": "Perception/single/5b3eedca-2b1d-4006-bd9a-93b9d122a7d3_0.png", "image_2": null, "question": "Does the image exhibit impulse noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "2e8f0059-00aa-4778-8e9f-dae68cdfe569", "image_1": "Perception/single/2e8f0059-00aa-4778-8e9f-dae68cdfe569_0.png", "image_2": null, "question": "Is sidelobe interference the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "57530899-c410-483c-8c17-be4b31e8f0c1", "image_1": "Perception/single/57530899-c410-483c-8c17-be4b31e8f0c1_0.png", "image_2": null, "question": "Does this image contain sidelobe interference?\nA.Yes\nB.No", "answer": "A"}
{"id": "ec48b9ba-1db9-4c45-850a-f7ed718ffe6d", "image_1": "Perception/single/ec48b9ba-1db9-4c45-850a-f7ed718ffe6d_0.png", "image_2": null, "question": "Is there sidelobe interference present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "f922a0a5-01c7-4b69-9289-c79c9123e3ec", "image_1": "Perception/single/f922a0a5-01c7-4b69-9289-c79c9123e3ec_0.png", "image_2": null, "question": "Does the image exhibit haze?\nA.Yes\nB.No", "answer": "B"}
{"id": "e4645cbe-5a08-43c1-aa59-99a5abd4a836", "image_1": "Perception/single/e4645cbe-5a08-43c1-aa59-99a5abd4a836_0.png", "image_2": null, "question": "Does this image contain stripe noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "ce971b3a-7868-4221-8009-6815c886e8af", "image_1": "Perception/single/ce971b3a-7868-4221-8009-6815c886e8af_0.png", "image_2": null, "question": "Is sidelobe interference the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "0e54fc16-7268-49d0-98c5-8e9047909ea5", "image_1": "Perception/single/0e54fc16-7268-49d0-98c5-8e9047909ea5_0.png", "image_2": null, "question": "Is there sidelobe interference present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "7bb804d2-90eb-402a-8ae0-cbe22f0ba0fe", "image_1": "Perception/single/7bb804d2-90eb-402a-8ae0-cbe22f0ba0fe_0.png", "image_2": null, "question": "Is sidelobe interference apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "0db96a5e-7d02-4739-9e08-70881a22e218", "image_1": "Perception/single/0db96a5e-7d02-4739-9e08-70881a22e218_0.png", "image_2": null, "question": "Is sidelobe interference a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8073745e-cf31-441f-84db-616b558ff7a8", "image_1": "Perception/single/8073745e-cf31-441f-84db-616b558ff7a8_0.png", "image_2": null, "question": "Is impulse noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "9ce531d6-6562-4b40-ae6f-6eeae230583f", "image_1": "Perception/single/9ce531d6-6562-4b40-ae6f-6eeae230583f_0.png", "image_2": null, "question": "Is gaussian noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "71a19a06-7445-4267-9723-85d0b7c76e57", "image_1": "Perception/single/71a19a06-7445-4267-9723-85d0b7c76e57_0.png", "image_2": null, "question": "Is the image impacted by sidelobe interference?\nA.Yes\nB.No", "answer": "A"}
{"id": "4afeec34-3189-4932-b3fb-2ade29460b8a", "image_1": "Perception/single/4afeec34-3189-4932-b3fb-2ade29460b8a_0.png", "image_2": null, "question": "Does sidelobe interference lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "2e19b090-9bb6-4f53-a617-fb0fc90647a6", "image_1": "Perception/single/2e19b090-9bb6-4f53-a617-fb0fc90647a6_0.png", "image_2": null, "question": "Is sidelobe interference the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "4fdef141-7afd-4b0d-8c5b-8cdde92abc3c", "image_1": "Perception/single/4fdef141-7afd-4b0d-8c5b-8cdde92abc3c_0.png", "image_2": null, "question": "Can color distortion be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f9ad67e0-4d26-44f6-b37e-90e590a732ff", "image_1": "Perception/single/f9ad67e0-4d26-44f6-b37e-90e590a732ff_0.png", "image_2": null, "question": "Does sidelobe interference obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "de9d9d6e-12ce-488d-92e8-14d87705cc5e", "image_1": "Perception/single/de9d9d6e-12ce-488d-92e8-14d87705cc5e_0.png", "image_2": null, "question": "Is there impulse noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a26e7e8d-149d-4d87-ae5b-9efcae27647c", "image_1": "Perception/single/a26e7e8d-149d-4d87-ae5b-9efcae27647c_0.png", "image_2": null, "question": "Does speckle noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "171c0279-a4c3-486d-9c1e-5821cb1d59af", "image_1": "Perception/single/171c0279-a4c3-486d-9c1e-5821cb1d59af_0.png", "image_2": null, "question": "Can sidelobe interference be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "64e2860b-7df3-4514-935e-d9218172fb6f", "image_1": "Perception/single/64e2860b-7df3-4514-935e-d9218172fb6f_0.png", "image_2": null, "question": "Is sidelobe interference a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "18fb8942-6912-434d-835f-b5bc8483070b", "image_1": "Perception/single/18fb8942-6912-434d-835f-b5bc8483070b_0.png", "image_2": null, "question": "Is spatially correlated noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "77813476-22c2-4a34-94a8-a825f48f5610", "image_1": "Perception/single/77813476-22c2-4a34-94a8-a825f48f5610_0.png", "image_2": null, "question": "Does sidelobe interference lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "47daa9a0-b470-4afc-a707-00c6b87527d6", "image_1": "Perception/single/47daa9a0-b470-4afc-a707-00c6b87527d6_0.png", "image_2": null, "question": "Is sidelobe interference a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "97d89bb7-f1fb-446f-b530-27aaecc7595f", "image_1": "Perception/single/97d89bb7-f1fb-446f-b530-27aaecc7595f_0.png", "image_2": null, "question": "Is cloud apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "4ef5bf1e-3cad-4f46-b144-9407ccee47b0", "image_1": "Perception/single/4ef5bf1e-3cad-4f46-b144-9407ccee47b0_0.png", "image_2": null, "question": "Does this image contain deadline noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "7dcdb18c-a296-4ad3-902f-7920fe67ab64", "image_1": "Perception/single/7dcdb18c-a296-4ad3-902f-7920fe67ab64_0.png", "image_2": null, "question": "Does sidelobe interference lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "90cbc0ed-810e-4770-8b32-61bf9ba0661c", "image_1": "Perception/single/90cbc0ed-810e-4770-8b32-61bf9ba0661c_0.png", "image_2": null, "question": "Is there impulse noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "aa659b65-a333-47c0-80ad-e680380ea91b", "image_1": "Perception/single/aa659b65-a333-47c0-80ad-e680380ea91b_0.png", "image_2": null, "question": "Is sidelobe interference the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "c215e834-5352-4f80-9c63-98751c4e502e", "image_1": "Perception/single/c215e834-5352-4f80-9c63-98751c4e502e_0.png", "image_2": null, "question": "Can haze be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ffa11511-e171-451c-91aa-9885c3ae1206", "image_1": "Perception/single/ffa11511-e171-451c-91aa-9885c3ae1206_0.png", "image_2": null, "question": "Is sidelobe interference a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "17860ecc-f34c-4576-8f16-ff828bcf5862", "image_1": "Perception/single/17860ecc-f34c-4576-8f16-ff828bcf5862_0.png", "image_2": null, "question": "Does the image exhibit dead pixel?\nA.Yes\nB.No", "answer": "B"}
{"id": "8e66ec4a-c161-4012-ab83-aa6c4733651c", "image_1": "Perception/single/8e66ec4a-c161-4012-ab83-aa6c4733651c_0.png", "image_2": null, "question": "Is sidelobe interference the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "6b2de2de-2725-47cf-8f30-0ce58bef72da", "image_1": "Perception/single/6b2de2de-2725-47cf-8f30-0ce58bef72da_0.png", "image_2": null, "question": "Is gaussian noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1d2522e2-b0d9-4551-9dfb-24d311f6e62e", "image_1": "Perception/single/1d2522e2-b0d9-4551-9dfb-24d311f6e62e_0.png", "image_2": null, "question": "Does sidelobe interference obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "e9a116af-9160-4ff5-9ed6-af4a7b0abc05", "image_1": "Perception/single/e9a116af-9160-4ff5-9ed6-af4a7b0abc05_0.png", "image_2": null, "question": "Is sidelobe interference the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "c6d7beeb-fa12-41dd-b17b-69c2f20c789d", "image_1": "Perception/single/c6d7beeb-fa12-41dd-b17b-69c2f20c789d_0.png", "image_2": null, "question": "Can gaussian blur be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e6e99206-767b-44c8-b09c-50af95f13e71", "image_1": "Perception/single/e6e99206-767b-44c8-b09c-50af95f13e71_0.png", "image_2": null, "question": "Does sidelobe interference result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "4de66e34-1c26-426c-a13c-290833264cb5", "image_1": "Perception/single/4de66e34-1c26-426c-a13c-290833264cb5_0.png", "image_2": null, "question": "Is spatially correlated noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "28239e51-a14f-4f38-9507-66c10fb169cf", "image_1": "Perception/single/28239e51-a14f-4f38-9507-66c10fb169cf_0.png", "image_2": null, "question": "Can haze be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2d0313a5-554f-47ed-8d49-f8b0e4214694", "image_1": "Perception/single/2d0313a5-554f-47ed-8d49-f8b0e4214694_0.png", "image_2": null, "question": "Is the image impacted by sidelobe interference?\nA.Yes\nB.No", "answer": "A"}
{"id": "9435f26b-08d7-4aa8-894b-dfa781e8daff", "image_1": "Perception/single/9435f26b-08d7-4aa8-894b-dfa781e8daff_0.png", "image_2": null, "question": "Is cloud apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "f03c8df0-c3d1-4a2e-aa6d-e8f20816fabf", "image_1": "Perception/single/f03c8df0-c3d1-4a2e-aa6d-e8f20816fabf_0.png", "image_2": null, "question": "Can impulse noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1552a4aa-d39a-40da-894f-510916375ce6", "image_1": "Perception/single/1552a4aa-d39a-40da-894f-510916375ce6_0.png", "image_2": null, "question": "Is there sidelobe interference present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c05e81fe-1ced-468a-8869-850371eec8f8", "image_1": "Perception/single/c05e81fe-1ced-468a-8869-850371eec8f8_0.png", "image_2": null, "question": "Is sidelobe interference a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8963546e-5ed4-4915-9884-3cbd612ade1a", "image_1": "Perception/single/8963546e-5ed4-4915-9884-3cbd612ade1a_0.png", "image_2": null, "question": "Does sidelobe interference compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "78de4188-0d45-49d6-bae0-6cbd3f232008", "image_1": "Perception/single/78de4188-0d45-49d6-bae0-6cbd3f232008_0.png", "image_2": null, "question": "Is there stripe noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "7446b9f3-0cd7-40b2-891d-7cc3d8f472be", "image_1": "Perception/single/7446b9f3-0cd7-40b2-891d-7cc3d8f472be_0.png", "image_2": null, "question": "Does the image exhibit haze?\nA.Yes\nB.No", "answer": "B"}
{"id": "eb7814fb-4048-4a5b-a436-8e15e8f581e9", "image_1": "Perception/single/eb7814fb-4048-4a5b-a436-8e15e8f581e9_0.png", "image_2": null, "question": "Is sidelobe interference a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c4b604a3-6bea-4571-999c-abaeefdf83cb", "image_1": "Perception/single/c4b604a3-6bea-4571-999c-abaeefdf83cb_0.png", "image_2": null, "question": "Does sidelobe interference reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "775fb91d-6843-4fe8-8cd9-c140339ffebb", "image_1": "Perception/single/775fb91d-6843-4fe8-8cd9-c140339ffebb_0.png", "image_2": null, "question": "Is sidelobe interference the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "d794b7da-b3f6-48c4-b59e-7c618b4f0432", "image_1": "Perception/single/d794b7da-b3f6-48c4-b59e-7c618b4f0432_0.png", "image_2": null, "question": "Is sidelobe interference visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "665f707c-31d4-4b8e-a83f-b23f87c7c1d2", "image_1": "Perception/single/665f707c-31d4-4b8e-a83f-b23f87c7c1d2_0.png", "image_2": null, "question": "Is there spatially correlated noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f435ff3e-759a-43c4-af45-e973a1eae30e", "image_1": "Perception/single/f435ff3e-759a-43c4-af45-e973a1eae30e_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "540cf134-3a62-4b1a-9375-1881db95e163", "image_1": "Perception/single/540cf134-3a62-4b1a-9375-1881db95e163_0.png", "image_2": null, "question": "Can sidelobe interference be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "3a6f28c4-8241-48c0-a19c-a409f56b6c18", "image_1": "Perception/single/3a6f28c4-8241-48c0-a19c-a409f56b6c18_0.png", "image_2": null, "question": "Is speckle noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "6c682b9e-6d3d-4593-9307-6234e2a9453d", "image_1": "Perception/single/6c682b9e-6d3d-4593-9307-6234e2a9453d_0.png", "image_2": null, "question": "Does impulse noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "5fa1182c-ca2a-49df-ba7c-1615abfcea7a", "image_1": "Perception/single/5fa1182c-ca2a-49df-ba7c-1615abfcea7a_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "B"}
{"id": "77ad6930-a70b-4800-9cc9-ab4f340e0a25", "image_1": "Perception/single/77ad6930-a70b-4800-9cc9-ab4f340e0a25_0.png", "image_2": null, "question": "Does sidelobe interference affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "7a2ee643-bec9-4403-b2b6-82dbddc8ded9", "image_1": "Perception/single/7a2ee643-bec9-4403-b2b6-82dbddc8ded9_0.png", "image_2": null, "question": "Is color distortion apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "f80e272b-cd0f-4fd6-ad8f-cdcdf19623a4", "image_1": "Perception/single/f80e272b-cd0f-4fd6-ad8f-cdcdf19623a4_0.png", "image_2": null, "question": "Is there image stretching present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "35010f05-6b8f-4036-9828-4f2987dd9684", "image_1": "Perception/single/35010f05-6b8f-4036-9828-4f2987dd9684_0.png", "image_2": null, "question": "Does this image contain gaussian blur?\nA.Yes\nB.No", "answer": "B"}
{"id": "4e0eaf18-3d59-4f4a-93b5-ed0c846f6189", "image_1": "Perception/single/4e0eaf18-3d59-4f4a-93b5-ed0c846f6189_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "ff79098f-9c5c-4b42-aaec-62d294f9702e", "image_1": "Perception/single/ff79098f-9c5c-4b42-aaec-62d294f9702e_0.png", "image_2": null, "question": "Is there stripe noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e2f4cd7f-10dd-4b3e-a013-4d97b0086bdd", "image_1": "Perception/single/e2f4cd7f-10dd-4b3e-a013-4d97b0086bdd_0.png", "image_2": null, "question": "Is sidelobe interference apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "d431e7dd-dfe1-4e62-9fb5-999609057092", "image_1": "Perception/single/d431e7dd-dfe1-4e62-9fb5-999609057092_0.png", "image_2": null, "question": "Is sidelobe interference visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "7410560b-a6b0-42af-8bbf-aeb8c3bedbc4", "image_1": "Perception/single/7410560b-a6b0-42af-8bbf-aeb8c3bedbc4_0.png", "image_2": null, "question": "Is there image stretching present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "65560b0d-c91f-43ea-a793-71a0c96e6565", "image_1": "Perception/single/65560b0d-c91f-43ea-a793-71a0c96e6565_0.png", "image_2": null, "question": "Is sidelobe interference a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c30a0b2f-e0da-4389-9655-65d2d3cc8dfd", "image_1": "Perception/single/c30a0b2f-e0da-4389-9655-65d2d3cc8dfd_0.png", "image_2": null, "question": "Does the image exhibit image stretching?\nA.Yes\nB.No", "answer": "B"}
{"id": "6395dade-f825-4199-9e1a-38605e778c91", "image_1": "Perception/single/6395dade-f825-4199-9e1a-38605e778c91_0.png", "image_2": null, "question": "Does this image contain gaussian noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "2ecf161e-ce48-4b0a-a0e6-d9d2e90ad396", "image_1": "Perception/single/2ecf161e-ce48-4b0a-a0e6-d9d2e90ad396_0.png", "image_2": null, "question": "Does this image contain missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "04f64cbd-aa75-46d5-8583-c4228b04ab80", "image_1": "Perception/single/04f64cbd-aa75-46d5-8583-c4228b04ab80_0.png", "image_2": null, "question": "Is there speckle noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2712f739-252b-4ec5-8677-daf993c5f5ff", "image_1": "Perception/single/2712f739-252b-4ec5-8677-daf993c5f5ff_0.png", "image_2": null, "question": "Is there deadline noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "cac4552a-6a3b-400c-94e0-4f2fde71d2b0", "image_1": "Perception/single/cac4552a-6a3b-400c-94e0-4f2fde71d2b0_0.png", "image_2": null, "question": "Does sidelobe interference compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "160a5099-767c-49c5-8146-296d48122985", "image_1": "Perception/single/160a5099-767c-49c5-8146-296d48122985_0.png", "image_2": null, "question": "Does the image exhibit speckle noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "e4a78a59-212d-47fe-825e-417510a486f6", "image_1": "Perception/single/e4a78a59-212d-47fe-825e-417510a486f6_0.png", "image_2": null, "question": "Does sidelobe interference lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "57435850-8e98-4d59-b18c-6327f2a0ea71", "image_1": "Perception/single/57435850-8e98-4d59-b18c-6327f2a0ea71_0.png", "image_2": null, "question": "Is motion blur visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "b6734557-9414-41f7-9a19-312d60c52a6f", "image_1": "Perception/single/b6734557-9414-41f7-9a19-312d60c52a6f_0.png", "image_2": null, "question": "Is sidelobe interference responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d8c0f32d-e091-4e9a-b054-175cd7510bad", "image_1": "Perception/single/d8c0f32d-e091-4e9a-b054-175cd7510bad_0.png", "image_2": null, "question": "Is there impulse noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4eea44a9-4365-41f6-8f2f-35c55e6683ee", "image_1": "Perception/single/4eea44a9-4365-41f6-8f2f-35c55e6683ee_0.png", "image_2": null, "question": "Does sidelobe interference result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "cf2f0a30-19e7-4ac1-ac05-576b7da85afe", "image_1": "Perception/single/cf2f0a30-19e7-4ac1-ac05-576b7da85afe_0.png", "image_2": null, "question": "Does this image contain sidelobe interference?\nA.Yes\nB.No", "answer": "A"}
{"id": "d8668f40-3e19-447c-98c6-d5bc52b23c8c", "image_1": "Perception/single/d8668f40-3e19-447c-98c6-d5bc52b23c8c_0.png", "image_2": null, "question": "Can missing tiles be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2ef79164-ca6e-4ff1-9921-ede36f3e3167", "image_1": "Perception/single/2ef79164-ca6e-4ff1-9921-ede36f3e3167_0.png", "image_2": null, "question": "Does this image contain sidelobe interference?\nA.Yes\nB.No", "answer": "A"}
{"id": "063fc617-4044-47ed-ab95-20371c00e4e0", "image_1": "Perception/single/063fc617-4044-47ed-ab95-20371c00e4e0_0.png", "image_2": null, "question": "Does the image exhibit deadline noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "3dd67c9e-ce0d-4ba1-bec3-02c8e2e83a44", "image_1": "Perception/single/3dd67c9e-ce0d-4ba1-bec3-02c8e2e83a44_0.png", "image_2": null, "question": "Is dead pixel apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "cfad4690-3caa-4167-872f-04a49d1d7ee5", "image_1": "Perception/single/cfad4690-3caa-4167-872f-04a49d1d7ee5_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "254f51b7-ae79-40ae-b199-248eaea477c8", "image_1": "Perception/single/254f51b7-ae79-40ae-b199-248eaea477c8_0.png", "image_2": null, "question": "Can image stretching be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "b8de9b8b-6040-48fd-a640-103b4bc214c9", "image_1": "Perception/single/b8de9b8b-6040-48fd-a640-103b4bc214c9_0.png", "image_2": null, "question": "Can color distortion be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "931232d3-0666-4387-b84b-6341085f4af3", "image_1": "Perception/single/931232d3-0666-4387-b84b-6341085f4af3_0.png", "image_2": null, "question": "Does sidelobe interference affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "5ddbe511-a971-453e-9f7f-80c9032d9aa7", "image_1": "Perception/single/5ddbe511-a971-453e-9f7f-80c9032d9aa7_0.png", "image_2": null, "question": "Is impulse noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e9f71982-7969-4844-9a7c-26f27a7d5602", "image_1": "Perception/single/e9f71982-7969-4844-9a7c-26f27a7d5602_0.png", "image_2": null, "question": "Is deadline noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "ed5f5b95-f421-41e2-99ed-ab60764d62d2", "image_1": "Perception/single/ed5f5b95-f421-41e2-99ed-ab60764d62d2_0.png", "image_2": null, "question": "Does the image exhibit haze?\nA.Yes\nB.No", "answer": "B"}
{"id": "587be027-b6dc-4186-a9b5-bfee2fc72120", "image_1": "Perception/single/587be027-b6dc-4186-a9b5-bfee2fc72120_0.png", "image_2": null, "question": "Can sidelobe interference be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "e0b5d0a1-71fc-4ecd-b498-2aa6df38361e", "image_1": "Perception/single/e0b5d0a1-71fc-4ecd-b498-2aa6df38361e_0.png", "image_2": null, "question": "Is deadline noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "49b91e5f-6974-4071-aa19-2c3bd710456b", "image_1": "Perception/single/49b91e5f-6974-4071-aa19-2c3bd710456b_0.png", "image_2": null, "question": "Is there sidelobe interference present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "4c7d0254-8d21-4bc7-9f87-5f4946e5c42b", "image_1": "Perception/single/4c7d0254-8d21-4bc7-9f87-5f4946e5c42b_0.png", "image_2": null, "question": "Does sidelobe interference interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "45f42ecc-3bd8-47bd-98a1-d7c6a442e60e", "image_1": "Perception/single/45f42ecc-3bd8-47bd-98a1-d7c6a442e60e_0.png", "image_2": null, "question": "Can color distortion be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1f80bdfc-ef24-42ae-bcf8-00333507a390", "image_1": "Perception/single/1f80bdfc-ef24-42ae-bcf8-00333507a390_0.png", "image_2": null, "question": "Is there haze present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "22193bfb-3419-43ac-9562-c16960beddab", "image_1": "Perception/single/22193bfb-3419-43ac-9562-c16960beddab_0.png", "image_2": null, "question": "Does sidelobe interference lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "73a857f2-2b35-4e23-9c74-3d9dabc6a1e0", "image_1": "Perception/single/73a857f2-2b35-4e23-9c74-3d9dabc6a1e0_0.png", "image_2": null, "question": "Is there stripe noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "9a8dd704-aebf-48a4-87ea-0ac9fa04683a", "image_1": "Perception/single/9a8dd704-aebf-48a4-87ea-0ac9fa04683a_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "4211b1da-0670-4cad-99c0-52123b812d2a", "image_1": "Perception/single/4211b1da-0670-4cad-99c0-52123b812d2a_0.png", "image_2": null, "question": "Is sidelobe interference a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "4480ee07-9ae2-4596-9484-400aa8834423", "image_1": "Perception/single/4480ee07-9ae2-4596-9484-400aa8834423_0.png", "image_2": null, "question": "Does sidelobe interference compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "e3e7bf8f-dfcb-4569-a351-698a44834dfc", "image_1": "Perception/single/e3e7bf8f-dfcb-4569-a351-698a44834dfc_0.png", "image_2": null, "question": "Is image stretching apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "11bdbd3b-f452-4de5-a398-ffd6e25a6b1c", "image_1": "Perception/single/11bdbd3b-f452-4de5-a398-ffd6e25a6b1c_0.png", "image_2": null, "question": "Is sidelobe interference the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "4f389249-ec1e-4980-a000-ac68dfce49b7", "image_1": "Perception/single/4f389249-ec1e-4980-a000-ac68dfce49b7_0.png", "image_2": null, "question": "Does cloud affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "72333666-218e-4dcd-ab2d-ae9474467f21", "image_1": "Perception/single/72333666-218e-4dcd-ab2d-ae9474467f21_0.png", "image_2": null, "question": "Is sidelobe interference visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "2b579767-2c81-41f8-ac1c-d4843aaefef2", "image_1": "Perception/single/2b579767-2c81-41f8-ac1c-d4843aaefef2_0.png", "image_2": null, "question": "Is there cloud present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "da7858e7-824d-4ef1-92c0-4ef439dfa957", "image_1": "Perception/single/da7858e7-824d-4ef1-92c0-4ef439dfa957_0.png", "image_2": null, "question": "Is sidelobe interference a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "204e20de-b14d-45ed-b250-c4b2732d450e", "image_1": "Perception/single/204e20de-b14d-45ed-b250-c4b2732d450e_0.png", "image_2": null, "question": "Is gaussian noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "2e69cb30-07e2-4085-b731-6f28aa1d7e6d", "image_1": "Perception/single/2e69cb30-07e2-4085-b731-6f28aa1d7e6d_0.png", "image_2": null, "question": "Does sidelobe interference obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "e402640d-2923-452a-8408-39fa4470b4df", "image_1": "Perception/single/e402640d-2923-452a-8408-39fa4470b4df_0.png", "image_2": null, "question": "Is speckle noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "e6b97baf-8115-4f01-a2a2-8bac3e64f252", "image_1": "Perception/single/e6b97baf-8115-4f01-a2a2-8bac3e64f252_0.png", "image_2": null, "question": "Does sidelobe interference reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "0da0f46e-8e1d-4903-9729-9d720097d3b3", "image_1": "Perception/single/0da0f46e-8e1d-4903-9729-9d720097d3b3_0.png", "image_2": null, "question": "Is sidelobe interference a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "677366e6-feb5-484e-bf84-6d980955b99e", "image_1": "Perception/single/677366e6-feb5-484e-bf84-6d980955b99e_0.png", "image_2": null, "question": "Is spatially correlated noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "901c66a3-2c82-492a-9826-0e8edc32bc6b", "image_1": "Perception/single/901c66a3-2c82-492a-9826-0e8edc32bc6b_0.png", "image_2": null, "question": "Does sidelobe interference compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "93d5ddb7-bef8-43cd-ba1b-eef3a0a749cb", "image_1": "Perception/single/93d5ddb7-bef8-43cd-ba1b-eef3a0a749cb_0.png", "image_2": null, "question": "Is cloud apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "c28e0357-7588-4c62-8309-d2674296f451", "image_1": "Perception/single/c28e0357-7588-4c62-8309-d2674296f451_0.png", "image_2": null, "question": "Does sidelobe interference result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "43804572-48f1-427e-af04-21198d3b56b8", "image_1": "Perception/single/43804572-48f1-427e-af04-21198d3b56b8_0.png", "image_2": null, "question": "Is sidelobe interference the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "5af48018-e396-4ebc-98d0-74fee9917bce", "image_1": "Perception/single/5af48018-e396-4ebc-98d0-74fee9917bce_0.png", "image_2": null, "question": "Is there sidelobe interference present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "3013dd5c-36c7-4ed6-9927-4cfbbdaf77d4", "image_1": "Perception/single/3013dd5c-36c7-4ed6-9927-4cfbbdaf77d4_0.png", "image_2": null, "question": "Does this image contain sidelobe interference?\nA.Yes\nB.No", "answer": "A"}
{"id": "836c2bfc-6793-45fb-95e8-38f0f99459d5", "image_1": "Perception/single/836c2bfc-6793-45fb-95e8-38f0f99459d5_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "c80a5dfa-3922-4014-8410-886384a5c75e", "image_1": "Perception/single/c80a5dfa-3922-4014-8410-886384a5c75e_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "fa0fbd2b-07e0-4ea9-8e69-00d509c46f99", "image_1": "Perception/single/fa0fbd2b-07e0-4ea9-8e69-00d509c46f99_0.png", "image_2": null, "question": "Is sidelobe interference responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "cd96c511-8df8-4908-8eca-504b3a33c6e9", "image_1": "Perception/single/cd96c511-8df8-4908-8eca-504b3a33c6e9_0.png", "image_2": null, "question": "Is sidelobe interference the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "69d00783-b01c-45e0-a788-ecc5743935ed", "image_1": "Perception/single/69d00783-b01c-45e0-a788-ecc5743935ed_0.png", "image_2": null, "question": "Does this image contain gaussian blur?\nA.Yes\nB.No", "answer": "B"}
{"id": "871e9431-d662-4916-9528-a470c91d1eda", "image_1": "Perception/single/871e9431-d662-4916-9528-a470c91d1eda_0.png", "image_2": null, "question": "Is sidelobe interference present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "85ceea02-4355-4308-b91d-288d1e0eda1a", "image_1": "Perception/single/85ceea02-4355-4308-b91d-288d1e0eda1a_0.png", "image_2": null, "question": "Does sidelobe interference obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "036cee12-40f9-4eed-be5a-7aa63c6b4750", "image_1": "Perception/single/036cee12-40f9-4eed-be5a-7aa63c6b4750_0.png", "image_2": null, "question": "Does sidelobe interference compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "f51e6d55-48ac-46c1-ab40-38a768c9f316", "image_1": "Perception/single/f51e6d55-48ac-46c1-ab40-38a768c9f316_0.png", "image_2": null, "question": "Does this image contain missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "cd81133c-ceef-4f86-8080-b8cbc7bd14c8", "image_1": "Perception/single/cd81133c-ceef-4f86-8080-b8cbc7bd14c8_0.png", "image_2": null, "question": "Does the image exhibit deadline noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "7a405853-1cae-4d80-955a-953e4ba6a53c", "image_1": "Perception/single/7a405853-1cae-4d80-955a-953e4ba6a53c_0.png", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "52c42c73-e518-45e9-9a40-0a3decc8b950", "image_1": "Perception/single/52c42c73-e518-45e9-9a40-0a3decc8b950_0.png", "image_2": null, "question": "Does sidelobe interference obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "3e0ca99e-4631-4d50-b8ab-f49426a7224e", "image_1": "Perception/single/3e0ca99e-4631-4d50-b8ab-f49426a7224e_0.png", "image_2": null, "question": "Does sidelobe interference obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "caa38741-d8c5-4f7a-ae90-9414dc8177a8", "image_1": "Perception/single/caa38741-d8c5-4f7a-ae90-9414dc8177a8_0.png", "image_2": null, "question": "Does sidelobe interference obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "69f84c48-c15c-4ba1-9edf-122118d165f1", "image_1": "Perception/single/69f84c48-c15c-4ba1-9edf-122118d165f1_0.png", "image_2": null, "question": "Does sidelobe interference compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "cd70ad49-c620-426d-83ac-7cebb73bac75", "image_1": "Perception/single/cd70ad49-c620-426d-83ac-7cebb73bac75_0.png", "image_2": null, "question": "Is sidelobe interference a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "312c7b18-daf4-417d-ba1f-b5e133ff62f0", "image_1": "Perception/single/312c7b18-daf4-417d-ba1f-b5e133ff62f0_0.png", "image_2": null, "question": "Is haze apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "a82fb7ed-aa3f-40a8-b4e0-2248d7a3b565", "image_1": "Perception/single/a82fb7ed-aa3f-40a8-b4e0-2248d7a3b565_0.png", "image_2": null, "question": "Is sidelobe interference a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "58721bcc-f665-4eea-b16b-421acea1c34c", "image_1": "Perception/single/58721bcc-f665-4eea-b16b-421acea1c34c_0.png", "image_2": null, "question": "Is sidelobe interference a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "0f12e262-89ab-49a1-82af-945f246cd46e", "image_1": "Perception/single/0f12e262-89ab-49a1-82af-945f246cd46e_0.png", "image_2": null, "question": "Does the image exhibit spatially correlated noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "dd921c77-b8a2-4474-ac48-2192f8c3e122", "image_1": "Perception/single/dd921c77-b8a2-4474-ac48-2192f8c3e122_0.png", "image_2": null, "question": "Is stripe noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "50b482b6-3eda-49c6-85f2-9d5b0c92d6e2", "image_1": "Perception/single/50b482b6-3eda-49c6-85f2-9d5b0c92d6e2_0.png", "image_2": null, "question": "Does this image contain spatially correlated noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "02920bb5-f94e-4711-94ff-5cbe67053383", "image_1": "Perception/single/02920bb5-f94e-4711-94ff-5cbe67053383_0.png", "image_2": null, "question": "Is haze visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2e62d035-edf6-4e3c-bb81-19ee1702b83a", "image_1": "Perception/single/2e62d035-edf6-4e3c-bb81-19ee1702b83a_0.png", "image_2": null, "question": "Does sidelobe interference result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "26e9bf07-db0d-436e-ab8a-120274c35355", "image_1": "Perception/single/26e9bf07-db0d-436e-ab8a-120274c35355_0.png", "image_2": null, "question": "Is cloud visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c0f914e5-c9f7-4c93-bd70-55b6e24d492d", "image_1": "Perception/single/c0f914e5-c9f7-4c93-bd70-55b6e24d492d_0.png", "image_2": null, "question": "Does this image contain spatially correlated noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "f28a78d0-32cd-4f44-9f16-466d7b9882ff", "image_1": "Perception/single/f28a78d0-32cd-4f44-9f16-466d7b9882ff_0.png", "image_2": null, "question": "Can sidelobe interference be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6451c5a2-5c7e-4a39-90f5-77560d203b30", "image_1": "Perception/single/6451c5a2-5c7e-4a39-90f5-77560d203b30_0.png", "image_2": null, "question": "Does sidelobe interference result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "6e238aad-57bf-4d23-b620-e886bc1a06be", "image_1": "Perception/single/6e238aad-57bf-4d23-b620-e886bc1a06be_0.png", "image_2": null, "question": "Does this image contain sidelobe interference?\nA.Yes\nB.No", "answer": "A"}
{"id": "f691c427-873f-40c6-ab75-9015f3fef87c", "image_1": "Perception/single/f691c427-873f-40c6-ab75-9015f3fef87c_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d8ef66a8-d2ee-4571-8fe9-ced87b8d5012", "image_1": "Perception/single/d8ef66a8-d2ee-4571-8fe9-ced87b8d5012_0.png", "image_2": null, "question": "Does this image contain gaussian blur?\nA.Yes\nB.No", "answer": "B"}
{"id": "4fbf8898-28c9-46bd-85da-76b10f0fc5f0", "image_1": "Perception/single/4fbf8898-28c9-46bd-85da-76b10f0fc5f0_0.png", "image_2": null, "question": "Is the image impacted by sidelobe interference?\nA.Yes\nB.No", "answer": "A"}
{"id": "859cf599-7440-4457-9eea-aaf1b7ec20ae", "image_1": "Perception/single/859cf599-7440-4457-9eea-aaf1b7ec20ae_0.png", "image_2": null, "question": "Is sidelobe interference the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "eafe7c1a-e521-4c57-b179-349ce8753f70", "image_1": "Perception/single/eafe7c1a-e521-4c57-b179-349ce8753f70_0.png", "image_2": null, "question": "Does this image contain sidelobe interference?\nA.Yes\nB.No", "answer": "A"}
{"id": "69f856aa-cc70-4d20-90bd-f232f996e137", "image_1": "Perception/single/69f856aa-cc70-4d20-90bd-f232f996e137_0.png", "image_2": null, "question": "Is sidelobe interference present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "3c0cd6ac-57ec-480c-8cec-7fe859eee3b7", "image_1": "Perception/single/3c0cd6ac-57ec-480c-8cec-7fe859eee3b7_0.png", "image_2": null, "question": "Is sidelobe interference the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "65b3a425-a2a9-4fbf-9df3-7ff72ac13d08", "image_1": "Perception/single/65b3a425-a2a9-4fbf-9df3-7ff72ac13d08_0.png", "image_2": null, "question": "Does sidelobe interference obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "ce3c4034-d1db-4d13-b35d-8afdf8339b9b", "image_1": "Perception/single/ce3c4034-d1db-4d13-b35d-8afdf8339b9b_0.png", "image_2": null, "question": "Is sidelobe interference a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "e3bb384b-5f21-43d3-97c7-1ecf47a491e4", "image_1": "Perception/single/e3bb384b-5f21-43d3-97c7-1ecf47a491e4_0.png", "image_2": null, "question": "Does sidelobe interference interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "5f129b1c-2b73-45c6-864c-b4b05c11bb50", "image_1": "Perception/single/5f129b1c-2b73-45c6-864c-b4b05c11bb50_0.png", "image_2": null, "question": "Does this image contain gaussian blur?\nA.Yes\nB.No", "answer": "B"}
{"id": "f08f710b-b5eb-443b-ab9a-2011b6b43626", "image_1": "Perception/single/f08f710b-b5eb-443b-ab9a-2011b6b43626_0.png", "image_2": null, "question": "Does deadline noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "0313a0ca-1431-4e29-a8d8-c584ee27f370", "image_1": "Perception/single/0313a0ca-1431-4e29-a8d8-c584ee27f370_0.png", "image_2": null, "question": "Does sidelobe interference compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "7d8cf2bb-4a6f-403e-8122-78f2946245b2", "image_1": "Perception/single/7d8cf2bb-4a6f-403e-8122-78f2946245b2_0.png", "image_2": null, "question": "Is image stretching visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2bfb2ed0-51af-4e65-b7d4-ff9528def3bc", "image_1": "Perception/single/2bfb2ed0-51af-4e65-b7d4-ff9528def3bc_0.png", "image_2": null, "question": "Does sidelobe interference affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "3678d289-74e8-478a-8e73-4ff034208b6b", "image_1": "Perception/single/3678d289-74e8-478a-8e73-4ff034208b6b_0.png", "image_2": null, "question": "Does sidelobe interference lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "0abc92d1-d0b5-4fa9-92da-84bcff123912", "image_1": "Perception/single/0abc92d1-d0b5-4fa9-92da-84bcff123912_0.png", "image_2": null, "question": "Is spatially correlated noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "d81dd45d-7b4a-4bff-9bed-71e8beeb0b02", "image_1": "Perception/single/d81dd45d-7b4a-4bff-9bed-71e8beeb0b02_0.png", "image_2": null, "question": "Does sidelobe interference lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "6667d653-04c1-43d0-8545-988a677d344c", "image_1": "Perception/single/6667d653-04c1-43d0-8545-988a677d344c_0.png", "image_2": null, "question": "Does sidelobe interference lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "6a716f65-aef8-4008-8b8d-d45b2669a880", "image_1": "Perception/single/6a716f65-aef8-4008-8b8d-d45b2669a880_0.png", "image_2": null, "question": "Does sidelobe interference compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "a21011da-b4fe-4a95-a4be-4f98e5425243", "image_1": "Perception/single/a21011da-b4fe-4a95-a4be-4f98e5425243_0.png", "image_2": null, "question": "Does sidelobe interference affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "fe49abb3-5eac-4d38-b57a-f0a2b510ec1c", "image_1": "Perception/single/fe49abb3-5eac-4d38-b57a-f0a2b510ec1c_0.png", "image_2": null, "question": "Does this image contain cloud?\nA.Yes\nB.No", "answer": "B"}
{"id": "3689e9a8-ca9f-4b55-8b35-4f91a2d61a82", "image_1": "Perception/single/3689e9a8-ca9f-4b55-8b35-4f91a2d61a82_0.png", "image_2": null, "question": "Can haze be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2c6ad5ef-eb59-45b4-a3a5-15f4d7a3b1f9", "image_1": "Perception/single/2c6ad5ef-eb59-45b4-a3a5-15f4d7a3b1f9_0.png", "image_2": null, "question": "Is deadline noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "5cfb40cb-96f7-4d36-925b-a8b47f88231a", "image_1": "Perception/single/5cfb40cb-96f7-4d36-925b-a8b47f88231a_0.png", "image_2": null, "question": "Is there sidelobe interference present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "46aa0ecc-dc04-459b-9f8c-8196a519e507", "image_1": "Perception/single/46aa0ecc-dc04-459b-9f8c-8196a519e507_0.png", "image_2": null, "question": "Can spatially correlated noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "afbe860e-d764-43f7-b5b7-fc9023de141a", "image_1": "Perception/single/afbe860e-d764-43f7-b5b7-fc9023de141a_0.png", "image_2": null, "question": "Does the image exhibit sidelobe interference?\nA.Yes\nB.No", "answer": "A"}
{"id": "72860a08-0b15-40dd-9c34-a7b4bc0cfeb1", "image_1": "Perception/single/72860a08-0b15-40dd-9c34-a7b4bc0cfeb1_0.png", "image_2": null, "question": "Does sidelobe interference lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "7d84ad93-ddfe-4d9d-9cab-044eec938300", "image_1": "Perception/single/7d84ad93-ddfe-4d9d-9cab-044eec938300_0.png", "image_2": null, "question": "Is impulse noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "8417e911-ceff-4960-b95d-9733177d3a47", "image_1": "Perception/single/8417e911-ceff-4960-b95d-9733177d3a47_0.png", "image_2": null, "question": "Is deadline noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4f73e8f3-8669-4c0d-8d43-f46b57506cab", "image_1": "Perception/single/4f73e8f3-8669-4c0d-8d43-f46b57506cab_0.png", "image_2": null, "question": "Is sidelobe interference a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d516e25b-b7de-4f0b-81e3-fba932cd2830", "image_1": "Perception/single/d516e25b-b7de-4f0b-81e3-fba932cd2830_0.png", "image_2": null, "question": "Does this image contain sidelobe interference?\nA.Yes\nB.No", "answer": "A"}
{"id": "f7321bf8-e02e-4024-b059-bcd999614462", "image_1": "Perception/single/f7321bf8-e02e-4024-b059-bcd999614462_0.png", "image_2": null, "question": "Can spatially correlated noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "eb36a716-4261-4bf5-acbe-5cc19624dc13", "image_1": "Perception/single/eb36a716-4261-4bf5-acbe-5cc19624dc13_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "774420f2-c36c-4db6-842d-425ed2e53d7a", "image_1": "Perception/single/774420f2-c36c-4db6-842d-425ed2e53d7a_0.png", "image_2": null, "question": "Is cloud apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "0b8af20a-e129-4d18-8c76-1f40500943d0", "image_1": "Perception/single/0b8af20a-e129-4d18-8c76-1f40500943d0_0.png", "image_2": null, "question": "Is stripe noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1af511cb-ff3f-419c-804d-e4f0fc9176d2", "image_1": "Perception/single/1af511cb-ff3f-419c-804d-e4f0fc9176d2_0.png", "image_2": null, "question": "Does this image contain gaussian blur?\nA.Yes\nB.No", "answer": "B"}
{"id": "2c964754-ac44-46ce-963f-160fc5e4a61d", "image_1": "Perception/single/2c964754-ac44-46ce-963f-160fc5e4a61d_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "8b321231-978d-4319-9538-6579b5a0c817", "image_1": "Perception/single/8b321231-978d-4319-9538-6579b5a0c817_0.jpg", "image_2": null, "question": "Does the image exhibit spatially correlated noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "7c0473a3-baad-4aa4-9626-2607b0b9e2f2", "image_1": "Perception/single/7c0473a3-baad-4aa4-9626-2607b0b9e2f2_0.jpg", "image_2": null, "question": "Does speckle noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "2ba50a5c-309b-44e4-bccd-fcfe23fce31a", "image_1": "Perception/single/2ba50a5c-309b-44e4-bccd-fcfe23fce31a_0.png", "image_2": null, "question": "Does speckle noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "4e79999b-c776-4937-9f6b-c8d35cd76396", "image_1": "Perception/single/4e79999b-c776-4937-9f6b-c8d35cd76396_0.png", "image_2": null, "question": "Is speckle noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8e8f28f4-c2ba-4dae-9e0e-a7677346ce57", "image_1": "Perception/single/8e8f28f4-c2ba-4dae-9e0e-a7677346ce57_0.png", "image_2": null, "question": "Is there sidelobe interference present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "7ae0c56e-3c75-4958-b66e-0ece514b6f71", "image_1": "Perception/single/7ae0c56e-3c75-4958-b66e-0ece514b6f71_0.png", "image_2": null, "question": "Does speckle noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "5bbadba7-7e96-47b1-a223-ce82299e352f", "image_1": "Perception/single/5bbadba7-7e96-47b1-a223-ce82299e352f_0.jpg", "image_2": null, "question": "Is speckle noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "52773463-5b3f-45aa-87df-fa433e2e7030", "image_1": "Perception/single/52773463-5b3f-45aa-87df-fa433e2e7030_0.jpg", "image_2": null, "question": "Does missing tiles affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "57e92a59-2a0a-47d0-a020-e7c2ae11a9cf", "image_1": "Perception/single/57e92a59-2a0a-47d0-a020-e7c2ae11a9cf_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "8d7fd2e6-9d4a-4974-b4c3-c10e83c3204a", "image_1": "Perception/single/8d7fd2e6-9d4a-4974-b4c3-c10e83c3204a_0.png", "image_2": null, "question": "Is impulse noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "ddb8e114-2e36-4783-ae5a-d8d35ad59215", "image_1": "Perception/single/ddb8e114-2e36-4783-ae5a-d8d35ad59215_0.jpg", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "21ffb734-9867-4aac-ae0a-bc5f347867e2", "image_1": "Perception/single/21ffb734-9867-4aac-ae0a-bc5f347867e2_0.jpg", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "B"}
{"id": "a49be072-113b-439f-96a5-ef2941f90ab9", "image_1": "Perception/single/a49be072-113b-439f-96a5-ef2941f90ab9_0.png", "image_2": null, "question": "Does the image exhibit speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "b138cc73-2a39-4bc5-82e9-c39702bf9311", "image_1": "Perception/single/b138cc73-2a39-4bc5-82e9-c39702bf9311_0.jpg", "image_2": null, "question": "Can spatially correlated noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "164da1b2-27ca-4229-8b41-4b7c2a59a4f4", "image_1": "Perception/single/164da1b2-27ca-4229-8b41-4b7c2a59a4f4_0.jpg", "image_2": null, "question": "Does speckle noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "4cabe2bb-005f-4187-a1a2-d97bb90dfea4", "image_1": "Perception/single/4cabe2bb-005f-4187-a1a2-d97bb90dfea4_0.jpg", "image_2": null, "question": "Is speckle noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d2d9481f-dbc5-4d21-b77c-649f0376ae93", "image_1": "Perception/single/d2d9481f-dbc5-4d21-b77c-649f0376ae93_0.jpg", "image_2": null, "question": "Is the image impacted by speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "d4e15255-4bdf-46af-9e32-78c018092a18", "image_1": "Perception/single/d4e15255-4bdf-46af-9e32-78c018092a18_0.png", "image_2": null, "question": "Is gaussian noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "dfdea5b0-80d8-4130-aed7-759ad7e6cba5", "image_1": "Perception/single/dfdea5b0-80d8-4130-aed7-759ad7e6cba5_0.jpg", "image_2": null, "question": "Does the image exhibit speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "f7e4b93a-d25e-472f-ba16-c02b40501631", "image_1": "Perception/single/f7e4b93a-d25e-472f-ba16-c02b40501631_0.jpg", "image_2": null, "question": "Is there sidelobe interference present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4f22701f-d036-48ee-bb39-2e7f4d765cbe", "image_1": "Perception/single/4f22701f-d036-48ee-bb39-2e7f4d765cbe_0.jpg", "image_2": null, "question": "Is spatially correlated noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a2f7ae3b-9e23-4a8f-a94b-95c839ac8636", "image_1": "Perception/single/a2f7ae3b-9e23-4a8f-a94b-95c839ac8636_0.jpg", "image_2": null, "question": "Is speckle noise present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "875663f7-1eea-45da-a41b-6f61b2e358a2", "image_1": "Perception/single/875663f7-1eea-45da-a41b-6f61b2e358a2_0.jpg", "image_2": null, "question": "Is speckle noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "3b0a8051-2c6b-4bca-a9ce-939228a158c7", "image_1": "Perception/single/3b0a8051-2c6b-4bca-a9ce-939228a158c7_0.png", "image_2": null, "question": "Does the image exhibit cloud?\nA.Yes\nB.No", "answer": "B"}
{"id": "ce0fa0d8-538a-4b11-80f8-db434644d2d2", "image_1": "Perception/single/ce0fa0d8-538a-4b11-80f8-db434644d2d2_0.jpg", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "c05bb3f2-f8bd-4b10-81b8-53004ebac0d8", "image_1": "Perception/single/c05bb3f2-f8bd-4b10-81b8-53004ebac0d8_0.png", "image_2": null, "question": "Does gaussian blur affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "e25d8059-d358-4a03-968b-6ac733dc9c40", "image_1": "Perception/single/e25d8059-d358-4a03-968b-6ac733dc9c40_0.png", "image_2": null, "question": "Can spatially correlated noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c3a3df03-0972-4b0d-84ad-eb6bbe2f43be", "image_1": "Perception/single/c3a3df03-0972-4b0d-84ad-eb6bbe2f43be_0.png", "image_2": null, "question": "Is speckle noise present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "5ff118db-9007-4226-a84e-e6e781687b57", "image_1": "Perception/single/5ff118db-9007-4226-a84e-e6e781687b57_0.png", "image_2": null, "question": "Is there speckle noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "3c22a5c9-0dbb-41bc-8fbc-eb3021e86ee1", "image_1": "Perception/single/3c22a5c9-0dbb-41bc-8fbc-eb3021e86ee1_0.png", "image_2": null, "question": "Is speckle noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "65585738-7e84-45fd-a775-b172c6af57e5", "image_1": "Perception/single/65585738-7e84-45fd-a775-b172c6af57e5_0.png", "image_2": null, "question": "Does this image contain haze?\nA.Yes\nB.No", "answer": "B"}
{"id": "bc37576c-bb6d-4f32-912c-66d9c75c40d3", "image_1": "Perception/single/bc37576c-bb6d-4f32-912c-66d9c75c40d3_0.jpg", "image_2": null, "question": "Is there gaussian noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0998c1e7-5c04-4cbb-841a-6d8e88d6b87c", "image_1": "Perception/single/0998c1e7-5c04-4cbb-841a-6d8e88d6b87c_0.jpg", "image_2": null, "question": "Does speckle noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "7df23875-7113-4c57-9154-2c3108808a75", "image_1": "Perception/single/7df23875-7113-4c57-9154-2c3108808a75_0.jpg", "image_2": null, "question": "Does the image exhibit impulse noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "c0b1d48c-240a-4e43-b2c0-b4fb04883ccc", "image_1": "Perception/single/c0b1d48c-240a-4e43-b2c0-b4fb04883ccc_0.png", "image_2": null, "question": "Is speckle noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "c0f4e9c2-4ca5-44b9-8b96-fa7be044b0f1", "image_1": "Perception/single/c0f4e9c2-4ca5-44b9-8b96-fa7be044b0f1_0.png", "image_2": null, "question": "Does speckle noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "759def18-812c-4f83-ae11-2c059e470b2d", "image_1": "Perception/single/759def18-812c-4f83-ae11-2c059e470b2d_0.jpg", "image_2": null, "question": "Is there haze present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "031333cc-0437-49f6-8d86-5c4e08f39506", "image_1": "Perception/single/031333cc-0437-49f6-8d86-5c4e08f39506_0.png", "image_2": null, "question": "Does speckle noise compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "c9f97091-1c3d-4356-9e91-5dc616be9dcc", "image_1": "Perception/single/c9f97091-1c3d-4356-9e91-5dc616be9dcc_0.jpg", "image_2": null, "question": "Is speckle noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "0d1eec15-ba81-473d-8aa8-e5734484e60d", "image_1": "Perception/single/0d1eec15-ba81-473d-8aa8-e5734484e60d_0.jpg", "image_2": null, "question": "Does speckle noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "bc7db01d-4f17-430d-955c-fbd1e5c78f71", "image_1": "Perception/single/bc7db01d-4f17-430d-955c-fbd1e5c78f71_0.png", "image_2": null, "question": "Does this image contain speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "e93c4b11-8176-4de4-91fe-8d8aa0672b2b", "image_1": "Perception/single/e93c4b11-8176-4de4-91fe-8d8aa0672b2b_0.png", "image_2": null, "question": "Is missing tiles apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "57bd7d50-f983-4b06-9bef-9d3724357819", "image_1": "Perception/single/57bd7d50-f983-4b06-9bef-9d3724357819_0.png", "image_2": null, "question": "Does speckle noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "f2d0bfd1-f8d9-4747-8680-dd3891acfd11", "image_1": "Perception/single/f2d0bfd1-f8d9-4747-8680-dd3891acfd11_0.jpg", "image_2": null, "question": "Is speckle noise present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "08ee6065-9888-4735-a86f-0b1d3581d505", "image_1": "Perception/single/08ee6065-9888-4735-a86f-0b1d3581d505_0.jpg", "image_2": null, "question": "Does speckle noise compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "fa65869e-4f96-4008-b4dd-28ee6b886983", "image_1": "Perception/single/fa65869e-4f96-4008-b4dd-28ee6b886983_0.jpg", "image_2": null, "question": "Does this image contain speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "961b9dd6-6e3b-4c90-85fd-3f089937e79d", "image_1": "Perception/single/961b9dd6-6e3b-4c90-85fd-3f089937e79d_0.png", "image_2": null, "question": "Does missing tiles affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "eb127ead-8baf-4415-9b13-33f57ec50384", "image_1": "Perception/single/eb127ead-8baf-4415-9b13-33f57ec50384_0.png", "image_2": null, "question": "Is the image impacted by speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "3ef8b883-7b45-4456-884f-899cbb7e869d", "image_1": "Perception/single/3ef8b883-7b45-4456-884f-899cbb7e869d_0.png", "image_2": null, "question": "Is there image stretching present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "7e73a9eb-294f-47f9-bdb3-9c1a87313163", "image_1": "Perception/single/7e73a9eb-294f-47f9-bdb3-9c1a87313163_0.jpg", "image_2": null, "question": "Is there color distortion present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "dec5a749-4748-4d04-af4c-57fd4d36937d", "image_1": "Perception/single/dec5a749-4748-4d04-af4c-57fd4d36937d_0.jpg", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c9a34767-f7c6-44cf-a981-a3b9691c3608", "image_1": "Perception/single/c9a34767-f7c6-44cf-a981-a3b9691c3608_0.jpg", "image_2": null, "question": "Is speckle noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "1769567c-a48f-4a1c-b92b-0a4a0afb6944", "image_1": "Perception/single/1769567c-a48f-4a1c-b92b-0a4a0afb6944_0.png", "image_2": null, "question": "Does speckle noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ed3d7ad7-f196-4bd5-b5e8-7482c7d8e98e", "image_1": "Perception/single/ed3d7ad7-f196-4bd5-b5e8-7482c7d8e98e_0.jpg", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "6520df61-dce6-419e-a4bc-ce186a7d51ef", "image_1": "Perception/single/6520df61-dce6-419e-a4bc-ce186a7d51ef_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e391341d-062b-4ed7-a4b3-e4d1a63e4c38", "image_1": "Perception/single/e391341d-062b-4ed7-a4b3-e4d1a63e4c38_0.png", "image_2": null, "question": "Does the image exhibit gaussian blur?\nA.Yes\nB.No", "answer": "B"}
{"id": "edb10366-a231-4f79-8a24-ef1a299093b2", "image_1": "Perception/single/edb10366-a231-4f79-8a24-ef1a299093b2_0.jpg", "image_2": null, "question": "Does this image contain cloud?\nA.Yes\nB.No", "answer": "B"}
{"id": "9cdbb095-eac4-46b2-879a-686ed4b406fd", "image_1": "Perception/single/9cdbb095-eac4-46b2-879a-686ed4b406fd_0.jpg", "image_2": null, "question": "Does the image exhibit gaussian blur?\nA.Yes\nB.No", "answer": "B"}
{"id": "d08be132-44dc-41b1-9c99-e8189b5620f0", "image_1": "Perception/single/d08be132-44dc-41b1-9c99-e8189b5620f0_0.png", "image_2": null, "question": "Is gaussian noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "be0559f7-d435-4951-a866-61cc8e839ca4", "image_1": "Perception/single/be0559f7-d435-4951-a866-61cc8e839ca4_0.png", "image_2": null, "question": "Is speckle noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "453ea711-1132-4260-b2fa-05adbb9f731f", "image_1": "Perception/single/453ea711-1132-4260-b2fa-05adbb9f731f_0.jpg", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "cdf84083-9500-4913-9c6e-2e2944647352", "image_1": "Perception/single/cdf84083-9500-4913-9c6e-2e2944647352_0.jpg", "image_2": null, "question": "Does this image contain gaussian noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "20908b54-935a-493c-82c1-92f129e7cc1a", "image_1": "Perception/single/20908b54-935a-493c-82c1-92f129e7cc1a_0.jpg", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "B"}
{"id": "a636e12c-4086-4a60-a5a5-21976c29d830", "image_1": "Perception/single/a636e12c-4086-4a60-a5a5-21976c29d830_0.png", "image_2": null, "question": "Is speckle noise present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "9e310532-9074-4f4f-94c2-103db2bd8ce7", "image_1": "Perception/single/9e310532-9074-4f4f-94c2-103db2bd8ce7_0.jpg", "image_2": null, "question": "Is there dead pixel present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "6cb33223-d511-4385-a709-e4c8715d505a", "image_1": "Perception/single/6cb33223-d511-4385-a709-e4c8715d505a_0.png", "image_2": null, "question": "Does speckle noise compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "e78511fb-c59c-4f4e-b6fb-88dd3713bc5b", "image_1": "Perception/single/e78511fb-c59c-4f4e-b6fb-88dd3713bc5b_0.jpg", "image_2": null, "question": "Does deadline noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "1bd0cf47-cc84-49e7-8cd9-42dcfe8739a5", "image_1": "Perception/single/1bd0cf47-cc84-49e7-8cd9-42dcfe8739a5_0.png", "image_2": null, "question": "Does this image contain cloud?\nA.Yes\nB.No", "answer": "B"}
{"id": "5ab01431-c524-491b-afab-1278d2ebd81c", "image_1": "Perception/single/5ab01431-c524-491b-afab-1278d2ebd81c_0.jpg", "image_2": null, "question": "Does impulse noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "4ffe300a-9402-4fc3-a94d-3d2f14d97cfb", "image_1": "Perception/single/4ffe300a-9402-4fc3-a94d-3d2f14d97cfb_0.jpg", "image_2": null, "question": "Does speckle noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "12b78279-1e66-424c-9638-e70fe61b5907", "image_1": "Perception/single/12b78279-1e66-424c-9638-e70fe61b5907_0.png", "image_2": null, "question": "Can deadline noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "35c94ca1-8a19-4fd7-a9d6-a7b9f459045d", "image_1": "Perception/single/35c94ca1-8a19-4fd7-a9d6-a7b9f459045d_0.png", "image_2": null, "question": "Does the image exhibit speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "a46f9157-5cf1-44ea-be33-486db3b73fd5", "image_1": "Perception/single/a46f9157-5cf1-44ea-be33-486db3b73fd5_0.png", "image_2": null, "question": "Does spatially correlated noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "76942f53-e416-4de5-a18c-1e9118c38e97", "image_1": "Perception/single/76942f53-e416-4de5-a18c-1e9118c38e97_0.png", "image_2": null, "question": "Is speckle noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "17b80ca5-5e8d-487f-974a-d9c658947b6d", "image_1": "Perception/single/17b80ca5-5e8d-487f-974a-d9c658947b6d_0.png", "image_2": null, "question": "Does the image exhibit missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "6a3c90fc-7017-4a27-94a0-680dc50383b3", "image_1": "Perception/single/6a3c90fc-7017-4a27-94a0-680dc50383b3_0.png", "image_2": null, "question": "Is there sidelobe interference present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ccfd7a52-8c21-4fc9-8989-c3e2609d1a09", "image_1": "Perception/single/ccfd7a52-8c21-4fc9-8989-c3e2609d1a09_0.png", "image_2": null, "question": "Does this image contain sidelobe interference?\nA.Yes\nB.No", "answer": "B"}
{"id": "cd2e1b3d-3b3c-40a8-989c-554a9fbadb9d", "image_1": "Perception/single/cd2e1b3d-3b3c-40a8-989c-554a9fbadb9d_0.jpg", "image_2": null, "question": "Is speckle noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "82f6a3b2-e65f-4efb-8721-d37bcc71a4a1", "image_1": "Perception/single/82f6a3b2-e65f-4efb-8721-d37bcc71a4a1_0.png", "image_2": null, "question": "Does this image contain speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "322a22c4-d587-4f14-bd49-e1b52a23e40b", "image_1": "Perception/single/322a22c4-d587-4f14-bd49-e1b52a23e40b_0.png", "image_2": null, "question": "Is there stripe noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f2d354a0-176e-4e7a-8f3b-e3cbef2c8d1b", "image_1": "Perception/single/f2d354a0-176e-4e7a-8f3b-e3cbef2c8d1b_0.png", "image_2": null, "question": "Does speckle noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "88913a41-9b5e-4aae-b957-2b550e8794bc", "image_1": "Perception/single/88913a41-9b5e-4aae-b957-2b550e8794bc_0.jpg", "image_2": null, "question": "Does haze affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "672462bb-0ff2-4841-9ffc-6c79599e9839", "image_1": "Perception/single/672462bb-0ff2-4841-9ffc-6c79599e9839_0.jpg", "image_2": null, "question": "Does speckle noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "ed5b732b-71c7-46ba-994a-b178d53a30d7", "image_1": "Perception/single/ed5b732b-71c7-46ba-994a-b178d53a30d7_0.png", "image_2": null, "question": "Is spatially correlated noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "12a01c37-fc4f-469b-9c0f-e1effc49fe04", "image_1": "Perception/single/12a01c37-fc4f-469b-9c0f-e1effc49fe04_0.png", "image_2": null, "question": "Is there speckle noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ab0444f7-47dc-49ba-958c-1c10a5f45aba", "image_1": "Perception/single/ab0444f7-47dc-49ba-958c-1c10a5f45aba_0.png", "image_2": null, "question": "Is speckle noise a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ff339421-e3fa-4f11-89f1-e096edd710b6", "image_1": "Perception/single/ff339421-e3fa-4f11-89f1-e096edd710b6_0.jpg", "image_2": null, "question": "Is speckle noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "b7e3f0fc-6f1d-4d6d-8760-0fa567f4d8ea", "image_1": "Perception/single/b7e3f0fc-6f1d-4d6d-8760-0fa567f4d8ea_0.png", "image_2": null, "question": "Is spatially correlated noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "8f8c096e-ad56-45a8-9386-845310ccd11b", "image_1": "Perception/single/8f8c096e-ad56-45a8-9386-845310ccd11b_0.png", "image_2": null, "question": "Does speckle noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "dfe2743e-67e6-48a2-915a-587062bed324", "image_1": "Perception/single/dfe2743e-67e6-48a2-915a-587062bed324_0.png", "image_2": null, "question": "Is there sidelobe interference present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "407eb24b-aafb-435d-b9ea-415bd8fa8ac5", "image_1": "Perception/single/407eb24b-aafb-435d-b9ea-415bd8fa8ac5_0.png", "image_2": null, "question": "Can speckle noise be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c3498642-7bb7-4296-bb9b-9d427b76bb2f", "image_1": "Perception/single/c3498642-7bb7-4296-bb9b-9d427b76bb2f_0.jpg", "image_2": null, "question": "Can speckle noise be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ccffbb43-25be-4237-9faa-5318caac42f6", "image_1": "Perception/single/ccffbb43-25be-4237-9faa-5318caac42f6_0.png", "image_2": null, "question": "Is speckle noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "0f4afb49-ea1f-447a-b235-55ff76e5c7e7", "image_1": "Perception/single/0f4afb49-ea1f-447a-b235-55ff76e5c7e7_0.jpg", "image_2": null, "question": "Does speckle noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "8ea25b21-a757-40d1-b250-58f572154c74", "image_1": "Perception/single/8ea25b21-a757-40d1-b250-58f572154c74_0.jpg", "image_2": null, "question": "Can gaussian noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "97a5af4d-3b79-4df1-93ad-f45c437db1b1", "image_1": "Perception/single/97a5af4d-3b79-4df1-93ad-f45c437db1b1_0.png", "image_2": null, "question": "Does the image exhibit sidelobe interference?\nA.Yes\nB.No", "answer": "B"}
{"id": "cbddaa4e-1f54-4a06-a52f-1b004d1a80df", "image_1": "Perception/single/cbddaa4e-1f54-4a06-a52f-1b004d1a80df_0.jpg", "image_2": null, "question": "Does this image contain speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "9c80b7e3-5de5-4d03-8032-a0c8ac066ad6", "image_1": "Perception/single/9c80b7e3-5de5-4d03-8032-a0c8ac066ad6_0.png", "image_2": null, "question": "Does this image contain stripe noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "3d21f0f2-5805-4af5-89c6-3b26fa1cfc4f", "image_1": "Perception/single/3d21f0f2-5805-4af5-89c6-3b26fa1cfc4f_0.png", "image_2": null, "question": "Does haze affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "5d79ccc1-9b15-412a-97a3-a92dcf82d4fa", "image_1": "Perception/single/5d79ccc1-9b15-412a-97a3-a92dcf82d4fa_0.png", "image_2": null, "question": "Is there speckle noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "69277932-6882-4f92-88c1-0a3572dd3942", "image_1": "Perception/single/69277932-6882-4f92-88c1-0a3572dd3942_0.jpg", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "804c80da-3b96-4f3e-9cd6-e5e75848e15c", "image_1": "Perception/single/804c80da-3b96-4f3e-9cd6-e5e75848e15c_0.png", "image_2": null, "question": "Is speckle noise a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "283420f6-4a08-44f5-902c-2179f324a0be", "image_1": "Perception/single/283420f6-4a08-44f5-902c-2179f324a0be_0.png", "image_2": null, "question": "Is gaussian noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "883a21b7-63c0-47d6-a3a8-3b4eaf550906", "image_1": "Perception/single/883a21b7-63c0-47d6-a3a8-3b4eaf550906_0.jpg", "image_2": null, "question": "Does speckle noise compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "8fbf5845-baf4-4e9d-8dfa-49ee6cf9c5ea", "image_1": "Perception/single/8fbf5845-baf4-4e9d-8dfa-49ee6cf9c5ea_0.jpg", "image_2": null, "question": "Can haze be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e66a3a3d-2714-492c-85ea-72fb35ef91f4", "image_1": "Perception/single/e66a3a3d-2714-492c-85ea-72fb35ef91f4_0.png", "image_2": null, "question": "Can missing tiles be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "758aba60-4727-4b65-80f9-e78ef71dddaf", "image_1": "Perception/single/758aba60-4727-4b65-80f9-e78ef71dddaf_0.jpg", "image_2": null, "question": "Does speckle noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "d12a6dc8-57c7-4f6a-83e3-f431d46a1bd3", "image_1": "Perception/single/d12a6dc8-57c7-4f6a-83e3-f431d46a1bd3_0.jpg", "image_2": null, "question": "Is there speckle noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "eaddb988-b13a-4b9f-993e-48d6c32a98d8", "image_1": "Perception/single/eaddb988-b13a-4b9f-993e-48d6c32a98d8_0.png", "image_2": null, "question": "Is there speckle noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "80196f4a-9d52-456d-946e-5566e00a20ee", "image_1": "Perception/single/80196f4a-9d52-456d-946e-5566e00a20ee_0.jpg", "image_2": null, "question": "Does the image exhibit speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "7e7c0a3c-8713-4b26-b670-73aeb34a7e97", "image_1": "Perception/single/7e7c0a3c-8713-4b26-b670-73aeb34a7e97_0.png", "image_2": null, "question": "Is speckle noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "40457a49-1b63-491d-974d-eb6cd2a6205f", "image_1": "Perception/single/40457a49-1b63-491d-974d-eb6cd2a6205f_0.jpg", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2141f8ac-9830-42f2-9062-bb00a3a67ecf", "image_1": "Perception/single/2141f8ac-9830-42f2-9062-bb00a3a67ecf_0.png", "image_2": null, "question": "Is there dead pixel present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "25118266-48c5-4680-a914-d2b347824060", "image_1": "Perception/single/25118266-48c5-4680-a914-d2b347824060_0.png", "image_2": null, "question": "Is speckle noise a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "627ff34d-a69e-4966-b749-a6698bca589e", "image_1": "Perception/single/627ff34d-a69e-4966-b749-a6698bca589e_0.jpg", "image_2": null, "question": "Is speckle noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "f9b34451-8c8f-4465-8d48-316a83306c05", "image_1": "Perception/single/f9b34451-8c8f-4465-8d48-316a83306c05_0.jpg", "image_2": null, "question": "Is gaussian noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "a0ba80e2-0614-4706-a400-e9077dd960c8", "image_1": "Perception/single/a0ba80e2-0614-4706-a400-e9077dd960c8_0.jpg", "image_2": null, "question": "Does this image contain sidelobe interference?\nA.Yes\nB.No", "answer": "B"}
{"id": "cfec5643-32cf-4520-bcc2-d638b6441e57", "image_1": "Perception/single/cfec5643-32cf-4520-bcc2-d638b6441e57_0.png", "image_2": null, "question": "Can haze be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "bcd61ac4-93d6-4c9f-8afd-6a477f7b762b", "image_1": "Perception/single/bcd61ac4-93d6-4c9f-8afd-6a477f7b762b_0.jpg", "image_2": null, "question": "Does speckle noise compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "bad44810-1dc8-44f3-aeae-d8484a173581", "image_1": "Perception/single/bad44810-1dc8-44f3-aeae-d8484a173581_0.jpg", "image_2": null, "question": "Does sidelobe interference affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "bd0d084d-35bc-4b56-b396-f4dd023a6de4", "image_1": "Perception/single/bd0d084d-35bc-4b56-b396-f4dd023a6de4_0.png", "image_2": null, "question": "Is speckle noise present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "b128a084-f22c-4b38-a1ce-8f59fea7f3fd", "image_1": "Perception/single/b128a084-f22c-4b38-a1ce-8f59fea7f3fd_0.png", "image_2": null, "question": "Does speckle noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "e6594efe-65d9-4610-9a92-89fa44d27c24", "image_1": "Perception/single/e6594efe-65d9-4610-9a92-89fa44d27c24_0.png", "image_2": null, "question": "Is speckle noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "ac79268b-47a7-4356-8729-436ff8069a2c", "image_1": "Perception/single/ac79268b-47a7-4356-8729-436ff8069a2c_0.jpg", "image_2": null, "question": "Is motion blur apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "dc522d59-0f0b-4fd7-8c45-58df99e8eea2", "image_1": "Perception/single/dc522d59-0f0b-4fd7-8c45-58df99e8eea2_0.jpg", "image_2": null, "question": "Does this image contain speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "847b21aa-e21a-417f-b8d9-afab0cf0642a", "image_1": "Perception/single/847b21aa-e21a-417f-b8d9-afab0cf0642a_0.jpg", "image_2": null, "question": "Does speckle noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "90287e28-8ece-4d4c-bfaf-c21d3bc81626", "image_1": "Perception/single/90287e28-8ece-4d4c-bfaf-c21d3bc81626_0.jpg", "image_2": null, "question": "Does the image exhibit sidelobe interference?\nA.Yes\nB.No", "answer": "B"}
{"id": "ae485711-d45b-47d4-acf7-73e3d57ced75", "image_1": "Perception/single/ae485711-d45b-47d4-acf7-73e3d57ced75_0.jpg", "image_2": null, "question": "Does speckle noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "3fdd8be4-c1aa-4522-a39e-1dafbf490744", "image_1": "Perception/single/3fdd8be4-c1aa-4522-a39e-1dafbf490744_0.jpg", "image_2": null, "question": "Can motion blur be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "07c8a9ad-4a28-44be-92df-41d167a4c904", "image_1": "Perception/single/07c8a9ad-4a28-44be-92df-41d167a4c904_0.jpg", "image_2": null, "question": "Is there deadline noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "63bf4111-07b2-4a1c-8158-8144df3158cb", "image_1": "Perception/single/63bf4111-07b2-4a1c-8158-8144df3158cb_0.jpg", "image_2": null, "question": "Is the image impacted by speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "7c758630-310b-4025-ade5-e662cba81cd1", "image_1": "Perception/single/7c758630-310b-4025-ade5-e662cba81cd1_0.png", "image_2": null, "question": "Does the image exhibit stripe noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "f47462d0-e758-42f3-8c00-0cfe769565d1", "image_1": "Perception/single/f47462d0-e758-42f3-8c00-0cfe769565d1_0.png", "image_2": null, "question": "Can stripe noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "08227312-a8b6-48bb-9437-d25d4daf08f0", "image_1": "Perception/single/08227312-a8b6-48bb-9437-d25d4daf08f0_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "c45d0759-8c81-45a3-994a-690768c1743d", "image_1": "Perception/single/c45d0759-8c81-45a3-994a-690768c1743d_0.png", "image_2": null, "question": "Does speckle noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "eb2659c2-abdb-441d-ac3d-8e2a24175431", "image_1": "Perception/single/eb2659c2-abdb-441d-ac3d-8e2a24175431_0.jpg", "image_2": null, "question": "Does the image exhibit color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "44c6007a-5ed3-47c9-82fa-747014f1b090", "image_1": "Perception/single/44c6007a-5ed3-47c9-82fa-747014f1b090_0.jpg", "image_2": null, "question": "Can spatially correlated noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "9282ebdc-7ae6-4c72-bcda-92883774d88a", "image_1": "Perception/single/9282ebdc-7ae6-4c72-bcda-92883774d88a_0.png", "image_2": null, "question": "Does the image exhibit impulse noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "92e3561a-5b25-4bc7-aa0e-0896cfbde83c", "image_1": "Perception/single/92e3561a-5b25-4bc7-aa0e-0896cfbde83c_0.png", "image_2": null, "question": "Does speckle noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "7ed9808d-91aa-4203-9843-f08e082b8da1", "image_1": "Perception/single/7ed9808d-91aa-4203-9843-f08e082b8da1_0.png", "image_2": null, "question": "Does sidelobe interference affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "0f55b2c9-9762-44e3-b07f-e8ac7769a075", "image_1": "Perception/single/0f55b2c9-9762-44e3-b07f-e8ac7769a075_0.jpg", "image_2": null, "question": "Is color distortion visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0164f8cb-1dcc-48ae-b1d0-82a59c300dcc", "image_1": "Perception/single/0164f8cb-1dcc-48ae-b1d0-82a59c300dcc_0.png", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "a4a7dd80-ed30-405c-82bb-13eb4a41a3ae", "image_1": "Perception/single/a4a7dd80-ed30-405c-82bb-13eb4a41a3ae_0.jpg", "image_2": null, "question": "Does this image contain speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "69efc00b-0d0d-421c-b89b-86cbf374935a", "image_1": "Perception/single/69efc00b-0d0d-421c-b89b-86cbf374935a_0.jpg", "image_2": null, "question": "Does the image exhibit sidelobe interference?\nA.Yes\nB.No", "answer": "B"}
{"id": "df89dddc-076b-4db4-a4f0-2fc67b51c7e0", "image_1": "Perception/single/df89dddc-076b-4db4-a4f0-2fc67b51c7e0_0.png", "image_2": null, "question": "Does this image contain speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "0b7c1221-4fe6-45f2-828a-5c85b0a3f2b4", "image_1": "Perception/single/0b7c1221-4fe6-45f2-828a-5c85b0a3f2b4_0.jpg", "image_2": null, "question": "Does this image contain impulse noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "28c9fd65-3b8a-4c1a-8efd-cb6ffa914ad6", "image_1": "Perception/single/28c9fd65-3b8a-4c1a-8efd-cb6ffa914ad6_0.png", "image_2": null, "question": "Is speckle noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "0721206e-1911-4c7c-b592-d9872b6622c6", "image_1": "Perception/single/0721206e-1911-4c7c-b592-d9872b6622c6_0.jpg", "image_2": null, "question": "Can sidelobe interference be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "b8934ce4-16c8-464b-ad80-885cfbec199c", "image_1": "Perception/single/b8934ce4-16c8-464b-ad80-885cfbec199c_0.jpg", "image_2": null, "question": "Does speckle noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "0cd0871f-b7a7-40d4-b661-c374dd9dd1fa", "image_1": "Perception/single/0cd0871f-b7a7-40d4-b661-c374dd9dd1fa_0.png", "image_2": null, "question": "Is speckle noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "3269aed9-9945-4267-923f-c6d19b8c9061", "image_1": "Perception/single/3269aed9-9945-4267-923f-c6d19b8c9061_0.jpg", "image_2": null, "question": "Does speckle noise compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "75338885-982c-41ec-ac1c-03e27de65d4f", "image_1": "Perception/single/75338885-982c-41ec-ac1c-03e27de65d4f_0.png", "image_2": null, "question": "Is image stretching visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "74f87bee-a214-4149-b2e4-ff495d5b0d06", "image_1": "Perception/single/74f87bee-a214-4149-b2e4-ff495d5b0d06_0.jpg", "image_2": null, "question": "Does this image contain speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "f10099f8-8e48-4fa1-825f-e1c9b91ce43b", "image_1": "Perception/single/f10099f8-8e48-4fa1-825f-e1c9b91ce43b_0.jpg", "image_2": null, "question": "Does gaussian noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "b3489247-065f-48e2-a99a-1a89fd8bfe92", "image_1": "Perception/single/b3489247-065f-48e2-a99a-1a89fd8bfe92_0.jpg", "image_2": null, "question": "Does this image contain spatially correlated noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "16ed74dd-5aaf-4a09-b60b-13e48af657ae", "image_1": "Perception/single/16ed74dd-5aaf-4a09-b60b-13e48af657ae_0.png", "image_2": null, "question": "Can speckle noise be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6ce625ae-1188-41a8-97d2-e63caf7ca439", "image_1": "Perception/single/6ce625ae-1188-41a8-97d2-e63caf7ca439_0.png", "image_2": null, "question": "Is impulse noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "c880cd92-1f50-4c5f-bc38-eeb7c37d5b74", "image_1": "Perception/single/c880cd92-1f50-4c5f-bc38-eeb7c37d5b74_0.jpg", "image_2": null, "question": "Is there stripe noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "62b50360-b165-408c-964f-faf9de2462ab", "image_1": "Perception/single/62b50360-b165-408c-964f-faf9de2462ab_0.png", "image_2": null, "question": "Is sidelobe interference apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "46938a27-6e6c-43be-b48d-6bcb83c49d24", "image_1": "Perception/single/46938a27-6e6c-43be-b48d-6bcb83c49d24_0.png", "image_2": null, "question": "Is speckle noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "2b8b0b67-27a0-4acd-ab38-5b06b29f958f", "image_1": "Perception/single/2b8b0b67-27a0-4acd-ab38-5b06b29f958f_0.jpg", "image_2": null, "question": "Is speckle noise present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "7525fbf7-95ed-4091-9ae1-4838d89453db", "image_1": "Perception/single/7525fbf7-95ed-4091-9ae1-4838d89453db_0.jpg", "image_2": null, "question": "Is speckle noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "f56ad8b3-22e4-4fae-981b-c41ff78b7247", "image_1": "Perception/single/f56ad8b3-22e4-4fae-981b-c41ff78b7247_0.png", "image_2": null, "question": "Does this image contain motion blur?\nA.Yes\nB.No", "answer": "B"}
{"id": "f2c7ec02-2b5c-4906-aea3-9f4c411d564f", "image_1": "Perception/single/f2c7ec02-2b5c-4906-aea3-9f4c411d564f_0.jpg", "image_2": null, "question": "Does the image exhibit color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "46c255be-0135-434f-93b3-ab2581424898", "image_1": "Perception/single/46c255be-0135-434f-93b3-ab2581424898_0.png", "image_2": null, "question": "Is missing tiles visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0618d62e-2f07-475c-8003-119b34497b34", "image_1": "Perception/single/0618d62e-2f07-475c-8003-119b34497b34_0.jpg", "image_2": null, "question": "Can impulse noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "af29761c-363a-4eb6-ba84-29daef1916ce", "image_1": "Perception/single/af29761c-363a-4eb6-ba84-29daef1916ce_0.png", "image_2": null, "question": "Does speckle noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "166bfec3-c919-4104-b968-52cf8b32af75", "image_1": "Perception/single/166bfec3-c919-4104-b968-52cf8b32af75_0.jpg", "image_2": null, "question": "Does the image exhibit cloud?\nA.Yes\nB.No", "answer": "B"}
{"id": "be49c8f8-13c0-4d90-9bcd-9ec1a638890f", "image_1": "Perception/single/be49c8f8-13c0-4d90-9bcd-9ec1a638890f_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "10defc7d-1a5f-4203-b95e-93bc87888c71", "image_1": "Perception/single/10defc7d-1a5f-4203-b95e-93bc87888c71_0.jpg", "image_2": null, "question": "Is speckle noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "da3271cb-439f-4d31-bab2-473427f53e75", "image_1": "Perception/single/da3271cb-439f-4d31-bab2-473427f53e75_0.jpg", "image_2": null, "question": "Is there speckle noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "84b8a495-33f4-4784-b4d8-1d76c281190d", "image_1": "Perception/single/84b8a495-33f4-4784-b4d8-1d76c281190d_0.jpg", "image_2": null, "question": "Is speckle noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "69f3fa1e-b58d-47af-a2e0-a4547ab23c61", "image_1": "Perception/single/69f3fa1e-b58d-47af-a2e0-a4547ab23c61_0.png", "image_2": null, "question": "Does the image exhibit deadline noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "bc46121b-3d45-441d-abe5-5c44667a858e", "image_1": "Perception/single/bc46121b-3d45-441d-abe5-5c44667a858e_0.jpg", "image_2": null, "question": "Is speckle noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "faf2b869-7be2-4fb7-9b19-8bd5cd0a0151", "image_1": "Perception/single/faf2b869-7be2-4fb7-9b19-8bd5cd0a0151_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "ecb093e5-bd92-474c-a1c1-290e284f88ba", "image_1": "Perception/single/ecb093e5-bd92-474c-a1c1-290e284f88ba_0.png", "image_2": null, "question": "Does the image exhibit speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "9caacf91-8d5a-42f9-b6ff-d5fd84f452cf", "image_1": "Perception/single/9caacf91-8d5a-42f9-b6ff-d5fd84f452cf_0.png", "image_2": null, "question": "Does speckle noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "905f123e-9faa-414f-a621-1cd085a78a4a", "image_1": "Perception/single/905f123e-9faa-414f-a621-1cd085a78a4a_0.jpg", "image_2": null, "question": "Is speckle noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "43f97bdd-e6e7-4403-8d26-9d3f85056d73", "image_1": "Perception/single/43f97bdd-e6e7-4403-8d26-9d3f85056d73_0.jpg", "image_2": null, "question": "Is speckle noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "4ab60ccc-c818-4fb3-a975-5f7247b1a100", "image_1": "Perception/single/4ab60ccc-c818-4fb3-a975-5f7247b1a100_0.png", "image_2": null, "question": "Does this image contain speckle noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "44a4ea55-3427-466c-91e1-268438d5c779", "image_1": "Perception/single/44a4ea55-3427-466c-91e1-268438d5c779_0.jpg", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "b1d079fc-7561-47d8-beb0-d147961bec81", "image_1": "Perception/single/b1d079fc-7561-47d8-beb0-d147961bec81_0.png", "image_2": null, "question": "Does speckle noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "f6911fbb-e2ed-42a7-8904-1c03288918f0", "image_1": "Perception/single/f6911fbb-e2ed-42a7-8904-1c03288918f0_0.jpg", "image_2": null, "question": "Does speckle noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "e99a8722-e94d-4b26-89dd-9428e1e05953", "image_1": "Perception/single/e99a8722-e94d-4b26-89dd-9428e1e05953_0.png", "image_2": null, "question": "Does haze affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "4bb5cd72-c556-41bc-9b14-5623b49fe15f", "image_1": "Perception/single/4bb5cd72-c556-41bc-9b14-5623b49fe15f_0.jpg", "image_2": null, "question": "Does speckle noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "40c38b23-5b38-492c-b43b-d6ccf6c063b8", "image_1": "Perception/single/40c38b23-5b38-492c-b43b-d6ccf6c063b8_0.jpg", "image_2": null, "question": "Does this image contain haze?\nA.Yes\nB.No", "answer": "B"}
{"id": "6af1128a-c9d7-45c6-84c5-d21e74353619", "image_1": "Perception/single/6af1128a-c9d7-45c6-84c5-d21e74353619_0.png", "image_2": null, "question": "Does speckle noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "0406348b-00f6-4b9d-aad5-37fb60ecdda1", "image_1": "Perception/single/0406348b-00f6-4b9d-aad5-37fb60ecdda1_0.png", "image_2": null, "question": "Does this image contain cloud?\nA.Yes\nB.No", "answer": "B"}
{"id": "6c5a68b1-6fde-474c-a443-1a65bc9fe84d", "image_1": "Perception/single/6c5a68b1-6fde-474c-a443-1a65bc9fe84d_0.jpg", "image_2": null, "question": "Does speckle noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "f85b1ace-ce4c-4ee8-beee-a4d630402f01", "image_1": "Perception/single/f85b1ace-ce4c-4ee8-beee-a4d630402f01_0.jpg", "image_2": null, "question": "Is speckle noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "0eed7370-98c1-45f6-8845-fdcf1008836f", "image_1": "Perception/single/0eed7370-98c1-45f6-8845-fdcf1008836f_0.png", "image_2": null, "question": "Can gaussian noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "7d9ad09f-621e-4ce0-ad1c-5e913150a4c7", "image_1": "Perception/single/7d9ad09f-621e-4ce0-ad1c-5e913150a4c7_0.png", "image_2": null, "question": "Is speckle noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "1b71609d-80a3-4370-b91f-f0259db66520", "image_1": "Perception/single/1b71609d-80a3-4370-b91f-f0259db66520_0.png", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "4760656f-296b-4e92-a418-7db9ef2b89f1", "image_1": "Perception/single/4760656f-296b-4e92-a418-7db9ef2b89f1_0.jpg", "image_2": null, "question": "Is there color distortion present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "04cd8203-e0c9-4645-8683-6803286e06c5", "image_1": "Perception/single/04cd8203-e0c9-4645-8683-6803286e06c5_0.jpg", "image_2": null, "question": "Is speckle noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "312ffa25-287a-4075-af1d-82f4515bc917", "image_1": "Perception/single/312ffa25-287a-4075-af1d-82f4515bc917_0.png", "image_2": null, "question": "Can deadline noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1c022f6d-223f-4e6a-b7cb-8519abddbe31", "image_1": "Perception/single/1c022f6d-223f-4e6a-b7cb-8519abddbe31_0.png", "image_2": null, "question": "Is speckle noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a19a1583-ae41-49ce-8b40-0ad802f5efdb", "image_1": "Perception/single/a19a1583-ae41-49ce-8b40-0ad802f5efdb_0.png", "image_2": null, "question": "Is speckle noise present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "37e89746-9c8c-4275-b369-d8d178b87211", "image_1": "Perception/single/37e89746-9c8c-4275-b369-d8d178b87211_0.png", "image_2": null, "question": "Can speckle noise be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a6616d93-8ba3-4af2-b27f-10e63df9255d", "image_1": "Perception/single/a6616d93-8ba3-4af2-b27f-10e63df9255d_0.png", "image_2": null, "question": "Is image stretching apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "37f05bc1-4c60-49be-9d07-2d824ee773a4", "image_1": "Perception/single/37f05bc1-4c60-49be-9d07-2d824ee773a4_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "acbe3d80-03df-4bdb-91cb-089127c8405c", "image_1": "Perception/single/acbe3d80-03df-4bdb-91cb-089127c8405c_0.png", "image_2": null, "question": "Does this image contain gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "3a617d42-658c-4336-a3ef-ed8daf962519", "image_1": "Perception/single/3a617d42-658c-4336-a3ef-ed8daf962519_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "f5590ca0-c376-4c84-9b8d-3f62b3b1c26f", "image_1": "Perception/single/f5590ca0-c376-4c84-9b8d-3f62b3b1c26f_0.png", "image_2": null, "question": "Does gaussian blur obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "14d47403-fe77-49b4-86eb-dc9b3b833fba", "image_1": "Perception/single/14d47403-fe77-49b4-86eb-dc9b3b833fba_0.png", "image_2": null, "question": "Is impulse noise the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "65e78096-8e09-4bd7-bbc3-0eb479cd018e", "image_1": "Perception/single/65e78096-8e09-4bd7-bbc3-0eb479cd018e_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "6899c6f9-7513-4dd4-8f41-5ce28ad1b019", "image_1": "Perception/single/6899c6f9-7513-4dd4-8f41-5ce28ad1b019_0.png", "image_2": null, "question": "Is the image impacted by missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "63cfc923-5a1b-4d72-9195-bb5f29daec6d", "image_1": "Perception/single/63cfc923-5a1b-4d72-9195-bb5f29daec6d_0.png", "image_2": null, "question": "Does this image contain motion blur?\nA.Yes\nB.No", "answer": "B"}
{"id": "94560c65-fae5-46c7-b328-eb7882a7c4f1", "image_1": "Perception/single/94560c65-fae5-46c7-b328-eb7882a7c4f1_0.png", "image_2": null, "question": "Does gaussian blur affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "89ad73ee-a697-4e51-ba0e-763f29ddccd8", "image_1": "Perception/single/89ad73ee-a697-4e51-ba0e-763f29ddccd8_0.png", "image_2": null, "question": "Is gaussian blur a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "0dbdcd54-72dd-4112-ad22-48473937e100", "image_1": "Perception/single/0dbdcd54-72dd-4112-ad22-48473937e100_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "bc2e52df-df4c-4f3c-8486-178a07692d2b", "image_1": "Perception/single/bc2e52df-df4c-4f3c-8486-178a07692d2b_0.png", "image_2": null, "question": "Is gaussian blur a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ff16757e-244a-4a0b-850d-d30c917ac994", "image_1": "Perception/single/ff16757e-244a-4a0b-850d-d30c917ac994_0.png", "image_2": null, "question": "Is gaussian blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "032a0939-28d5-4621-91bd-e39e85bf63a0", "image_1": "Perception/single/032a0939-28d5-4621-91bd-e39e85bf63a0_0.png", "image_2": null, "question": "Is stripe noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2e4e7b0d-b145-4cea-befe-856b5ba02cb6", "image_1": "Perception/single/2e4e7b0d-b145-4cea-befe-856b5ba02cb6_0.png", "image_2": null, "question": "Does haze obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "ecd4dde6-b75a-4bbc-a4d4-f9b70f68c392", "image_1": "Perception/single/ecd4dde6-b75a-4bbc-a4d4-f9b70f68c392_0.png", "image_2": null, "question": "Does gaussian blur reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b0f68f23-de96-4e27-a760-fde3475c4afa", "image_1": "Perception/single/b0f68f23-de96-4e27-a760-fde3475c4afa_0.png", "image_2": null, "question": "Does missing tiles lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "59fdaaca-6936-4e6d-8333-5196e520b0e7", "image_1": "Perception/single/59fdaaca-6936-4e6d-8333-5196e520b0e7_0.png", "image_2": null, "question": "Does this image contain gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "1d631f12-9b7c-411a-999d-34227c4b48b3", "image_1": "Perception/single/1d631f12-9b7c-411a-999d-34227c4b48b3_0.png", "image_2": null, "question": "Is the image impacted by deadline noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "6a3dd94d-5a94-4b3d-9556-b40b07e35682", "image_1": "Perception/single/6a3dd94d-5a94-4b3d-9556-b40b07e35682_0.png", "image_2": null, "question": "Is gaussian blur the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "38a4dfe7-d669-46c8-8c41-cefea1fdcb40", "image_1": "Perception/single/38a4dfe7-d669-46c8-8c41-cefea1fdcb40_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "e2e26a84-9b2a-4f7d-a237-ff85744dd220", "image_1": "Perception/single/e2e26a84-9b2a-4f7d-a237-ff85744dd220_0.png", "image_2": null, "question": "Is stripe noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "aa937ce1-256d-4b71-8908-199ea0c38801", "image_1": "Perception/single/aa937ce1-256d-4b71-8908-199ea0c38801_0.png", "image_2": null, "question": "Is gaussian blur the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "b49b0fbd-3488-4bec-b862-7e1bc2d5950c", "image_1": "Perception/single/b49b0fbd-3488-4bec-b862-7e1bc2d5950c_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "2ca36d77-865e-4b98-95ce-e7244fca303b", "image_1": "Perception/single/2ca36d77-865e-4b98-95ce-e7244fca303b_0.png", "image_2": null, "question": "Can spatially correlated noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d31dce57-d2dc-4d48-a9db-ba8c5b84fbf0", "image_1": "Perception/single/d31dce57-d2dc-4d48-a9db-ba8c5b84fbf0_0.png", "image_2": null, "question": "Can gaussian blur be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "e2b4c431-c43e-4641-bc39-157efeb4b5ae", "image_1": "Perception/single/e2b4c431-c43e-4641-bc39-157efeb4b5ae_0.png", "image_2": null, "question": "Is gaussian blur a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "1508e9b0-b144-4436-869a-3f306cdbd215", "image_1": "Perception/single/1508e9b0-b144-4436-869a-3f306cdbd215_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "fa4deb84-7593-4a7c-a686-9b97c49914d9", "image_1": "Perception/single/fa4deb84-7593-4a7c-a686-9b97c49914d9_0.png", "image_2": null, "question": "Does motion blur reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c072f31e-09b7-471d-a164-f9c377787e76", "image_1": "Perception/single/c072f31e-09b7-471d-a164-f9c377787e76_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "fd5c6f8d-45cd-4566-a75f-b03715815aab", "image_1": "Perception/single/fd5c6f8d-45cd-4566-a75f-b03715815aab_0.png", "image_2": null, "question": "Does cloud affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "2324dceb-cd1b-43fa-8196-3855eb642abc", "image_1": "Perception/single/2324dceb-cd1b-43fa-8196-3855eb642abc_0.png", "image_2": null, "question": "Is gaussian blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "e856f3f6-bb9f-4728-947b-48570cd1cc98", "image_1": "Perception/single/e856f3f6-bb9f-4728-947b-48570cd1cc98_0.png", "image_2": null, "question": "Is gaussian blur present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "fda34668-8d8c-425b-bc6b-56e3c4ef49b0", "image_1": "Perception/single/fda34668-8d8c-425b-bc6b-56e3c4ef49b0_0.png", "image_2": null, "question": "Is dead pixel a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4e6737c8-be4c-457f-bc28-98c60451b45a", "image_1": "Perception/single/4e6737c8-be4c-457f-bc28-98c60451b45a_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "63e866c0-ee52-4ae7-9a32-25d6f1e5d20a", "image_1": "Perception/single/63e866c0-ee52-4ae7-9a32-25d6f1e5d20a_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "f17433e7-f44e-4954-90f7-758518d11d66", "image_1": "Perception/single/f17433e7-f44e-4954-90f7-758518d11d66_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "47785ef5-fe2c-4fb3-9eea-0ae19f65b3b6", "image_1": "Perception/single/47785ef5-fe2c-4fb3-9eea-0ae19f65b3b6_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "9a47495d-54f3-4114-9810-5801817edb24", "image_1": "Perception/single/9a47495d-54f3-4114-9810-5801817edb24_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "5e2cf00b-68ce-4105-8590-f4e3ccbd3f2f", "image_1": "Perception/single/5e2cf00b-68ce-4105-8590-f4e3ccbd3f2f_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "9e75b82f-89d8-416b-8727-33a622842b07", "image_1": "Perception/single/9e75b82f-89d8-416b-8727-33a622842b07_0.png", "image_2": null, "question": "Does gaussian blur reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "99df18c8-b538-4aff-b4fb-641aae1a52e5", "image_1": "Perception/single/99df18c8-b538-4aff-b4fb-641aae1a52e5_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0ac46e50-47d8-465e-99a9-49f4dbb3b37b", "image_1": "Perception/single/0ac46e50-47d8-465e-99a9-49f4dbb3b37b_0.png", "image_2": null, "question": "Can deadline noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c613d21f-dc20-41a3-b360-4e1e3393ad67", "image_1": "Perception/single/c613d21f-dc20-41a3-b360-4e1e3393ad67_0.png", "image_2": null, "question": "Can gaussian blur be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "574a495e-e4ca-4b64-9bc1-e051de6864f1", "image_1": "Perception/single/574a495e-e4ca-4b64-9bc1-e051de6864f1_0.png", "image_2": null, "question": "Is gaussian blur a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "42751ab2-863d-4f0c-91c0-4f9249d4cc59", "image_1": "Perception/single/42751ab2-863d-4f0c-91c0-4f9249d4cc59_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "3da832a5-a4e7-4bdc-980f-1b6a75cde874", "image_1": "Perception/single/3da832a5-a4e7-4bdc-980f-1b6a75cde874_0.png", "image_2": null, "question": "Does gaussian blur affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "ebf377fa-d8e1-457a-a86e-542fa61682c9", "image_1": "Perception/single/ebf377fa-d8e1-457a-a86e-542fa61682c9_0.png", "image_2": null, "question": "Is gaussian blur a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "0dc63ce7-c61e-4ef6-88e3-7f573e8030db", "image_1": "Perception/single/0dc63ce7-c61e-4ef6-88e3-7f573e8030db_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "7f70a880-92ac-474a-8d83-5ff9cedfbfba", "image_1": "Perception/single/7f70a880-92ac-474a-8d83-5ff9cedfbfba_0.png", "image_2": null, "question": "Does image stretching obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "70a2b492-647e-4706-b22d-b105752bd2db", "image_1": "Perception/single/70a2b492-647e-4706-b22d-b105752bd2db_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "74dd579d-2918-40f1-8cc6-f5a6d56dcef8", "image_1": "Perception/single/74dd579d-2918-40f1-8cc6-f5a6d56dcef8_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "e7a45470-aace-4955-a524-4e55906fbbc1", "image_1": "Perception/single/e7a45470-aace-4955-a524-4e55906fbbc1_0.png", "image_2": null, "question": "Is gaussian blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "7d49f335-4ce0-46f8-89cb-68d131fd35de", "image_1": "Perception/single/7d49f335-4ce0-46f8-89cb-68d131fd35de_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "a472ec96-a114-4922-bc1c-7c6c53b8bfc5", "image_1": "Perception/single/a472ec96-a114-4922-bc1c-7c6c53b8bfc5_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "8421e87b-5d84-4056-873a-4fd6fbd31666", "image_1": "Perception/single/8421e87b-5d84-4056-873a-4fd6fbd31666_0.png", "image_2": null, "question": "Is there gaussian blur present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ce083ec7-da3b-4d6d-b0a6-97acb9f7c373", "image_1": "Perception/single/ce083ec7-da3b-4d6d-b0a6-97acb9f7c373_0.png", "image_2": null, "question": "Is gaussian blur the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "75d90bd0-5741-458d-8ff7-da2bd9bb7203", "image_1": "Perception/single/75d90bd0-5741-458d-8ff7-da2bd9bb7203_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "ba187429-48eb-441c-b102-641bcbdbbd20", "image_1": "Perception/single/ba187429-48eb-441c-b102-641bcbdbbd20_0.png", "image_2": null, "question": "Does gaussian blur affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "015ff193-d847-458f-8de3-72e823174dd1", "image_1": "Perception/single/015ff193-d847-458f-8de3-72e823174dd1_0.png", "image_2": null, "question": "Does stripe noise result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "a19cd284-0566-4cb8-a2fc-0b978658397b", "image_1": "Perception/single/a19cd284-0566-4cb8-a2fc-0b978658397b_0.png", "image_2": null, "question": "Is gaussian blur the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "e08dc00c-db54-4098-8445-3947c3a8732b", "image_1": "Perception/single/e08dc00c-db54-4098-8445-3947c3a8732b_0.png", "image_2": null, "question": "Is gaussian blur a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6f1c4334-2afb-4650-88fa-93f59701e803", "image_1": "Perception/single/6f1c4334-2afb-4650-88fa-93f59701e803_0.png", "image_2": null, "question": "Is gaussian blur apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "f639783c-fef8-4c6a-a477-1071d2b60e50", "image_1": "Perception/single/f639783c-fef8-4c6a-a477-1071d2b60e50_0.png", "image_2": null, "question": "Does gaussian blur interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "8c98e0ae-f417-4942-aab2-fda4d79e8d09", "image_1": "Perception/single/8c98e0ae-f417-4942-aab2-fda4d79e8d09_0.png", "image_2": null, "question": "Does gaussian blur reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6b76e591-9a66-49bb-a053-feeb3cd753d2", "image_1": "Perception/single/6b76e591-9a66-49bb-a053-feeb3cd753d2_0.png", "image_2": null, "question": "Does the image exhibit gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "680cc99a-09d0-4021-b6b4-a45a2c3e04cd", "image_1": "Perception/single/680cc99a-09d0-4021-b6b4-a45a2c3e04cd_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "dccd833b-126a-4049-9d22-d4a2d3b88232", "image_1": "Perception/single/dccd833b-126a-4049-9d22-d4a2d3b88232_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e414ba8c-a2cf-44d9-8ca9-aad8d22b4703", "image_1": "Perception/single/e414ba8c-a2cf-44d9-8ca9-aad8d22b4703_0.png", "image_2": null, "question": "Is gaussian blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "919af6b6-78fe-4de2-b951-07eb2df12859", "image_1": "Perception/single/919af6b6-78fe-4de2-b951-07eb2df12859_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "51681299-0b4b-40ed-a798-57236973100d", "image_1": "Perception/single/51681299-0b4b-40ed-a798-57236973100d_0.png", "image_2": null, "question": "Does gaussian blur result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "79b984bb-9035-412d-9917-43db640be49a", "image_1": "Perception/single/79b984bb-9035-412d-9917-43db640be49a_0.png", "image_2": null, "question": "Is the image impacted by gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "9753ab38-0c98-429c-b2dd-841a9d91649c", "image_1": "Perception/single/9753ab38-0c98-429c-b2dd-841a9d91649c_0.png", "image_2": null, "question": "Does gaussian blur result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "7a1b0697-1ad8-45e6-8273-5f2753107a0b", "image_1": "Perception/single/7a1b0697-1ad8-45e6-8273-5f2753107a0b_0.png", "image_2": null, "question": "Does gaussian blur interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "6c23c19e-c0dd-4fda-8e80-2db6d64fab93", "image_1": "Perception/single/6c23c19e-c0dd-4fda-8e80-2db6d64fab93_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "77286f93-4607-4139-b07f-121d95304390", "image_1": "Perception/single/77286f93-4607-4139-b07f-121d95304390_0.png", "image_2": null, "question": "Does the image exhibit gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "a661c463-f7c1-486e-93fc-ebd1c407f51c", "image_1": "Perception/single/a661c463-f7c1-486e-93fc-ebd1c407f51c_0.png", "image_2": null, "question": "Does gaussian blur compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "f59225ed-e617-4b1f-a394-26119704cb43", "image_1": "Perception/single/f59225ed-e617-4b1f-a394-26119704cb43_0.png", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "f45c4dee-1878-4d01-b009-5c1c587304f1", "image_1": "Perception/single/f45c4dee-1878-4d01-b009-5c1c587304f1_0.png", "image_2": null, "question": "Is there gaussian blur present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "bbfb2917-4b71-4d4d-b677-39571f28b563", "image_1": "Perception/single/bbfb2917-4b71-4d4d-b677-39571f28b563_0.png", "image_2": null, "question": "Does the image exhibit spatially correlated noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "7f9c6965-ee44-46b6-a3d6-44b5acb833d9", "image_1": "Perception/single/7f9c6965-ee44-46b6-a3d6-44b5acb833d9_0.png", "image_2": null, "question": "Is gaussian blur visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b161cb49-a282-4892-a94b-2f08c899a473", "image_1": "Perception/single/b161cb49-a282-4892-a94b-2f08c899a473_0.png", "image_2": null, "question": "Is the image impacted by gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "0ca9dc93-0c19-43b7-a16f-431bb192d85f", "image_1": "Perception/single/0ca9dc93-0c19-43b7-a16f-431bb192d85f_0.png", "image_2": null, "question": "Is gaussian blur a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "26347228-2f38-46c1-964e-7c5b28093f1b", "image_1": "Perception/single/26347228-2f38-46c1-964e-7c5b28093f1b_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "8899411a-fb0f-4eda-912d-4216fee68a74", "image_1": "Perception/single/8899411a-fb0f-4eda-912d-4216fee68a74_0.png", "image_2": null, "question": "Is cloud a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "cc457b09-0bb9-452b-a60d-ccc6a079fb72", "image_1": "Perception/single/cc457b09-0bb9-452b-a60d-ccc6a079fb72_0.png", "image_2": null, "question": "Does gaussian blur reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "4ce99864-d1ee-4f16-9281-aef2d127bf5c", "image_1": "Perception/single/4ce99864-d1ee-4f16-9281-aef2d127bf5c_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "ec3f7ed6-a518-4a3b-99aa-7eb7712ece96", "image_1": "Perception/single/ec3f7ed6-a518-4a3b-99aa-7eb7712ece96_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "B"}
{"id": "584e7d97-c50b-4d8e-b820-6ace8881aff3", "image_1": "Perception/single/584e7d97-c50b-4d8e-b820-6ace8881aff3_0.png", "image_2": null, "question": "Is gaussian blur the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "c09fbf37-ac8a-4f27-8d62-2d79f6b5386b", "image_1": "Perception/single/c09fbf37-ac8a-4f27-8d62-2d79f6b5386b_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "66171c03-6455-4db0-b27c-c61caf548b2f", "image_1": "Perception/single/66171c03-6455-4db0-b27c-c61caf548b2f_0.png", "image_2": null, "question": "Is gaussian blur the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "878779ef-1933-494a-9e5f-edc7a40bb765", "image_1": "Perception/single/878779ef-1933-494a-9e5f-edc7a40bb765_0.png", "image_2": null, "question": "Is gaussian blur the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "ce17ddc6-1421-434c-901c-2d86d887bc26", "image_1": "Perception/single/ce17ddc6-1421-434c-901c-2d86d887bc26_0.png", "image_2": null, "question": "Is gaussian blur present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "56c85996-0d0f-41fa-b5b9-0b8e21464cf0", "image_1": "Perception/single/56c85996-0d0f-41fa-b5b9-0b8e21464cf0_0.png", "image_2": null, "question": "Is the image impacted by gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "79b9f258-e156-42d2-99da-079a21c4d086", "image_1": "Perception/single/79b9f258-e156-42d2-99da-079a21c4d086_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "6ae678eb-f825-42a2-a153-74729821ea44", "image_1": "Perception/single/6ae678eb-f825-42a2-a153-74729821ea44_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "b3ff897f-a5e3-4de1-a5cd-ccf754121080", "image_1": "Perception/single/b3ff897f-a5e3-4de1-a5cd-ccf754121080_0.png", "image_2": null, "question": "Does gaussian blur compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "b1108db2-5c22-492a-b134-33d79554bb05", "image_1": "Perception/single/b1108db2-5c22-492a-b134-33d79554bb05_0.png", "image_2": null, "question": "Does deadline noise compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "cb818c3e-fa24-4bab-ad70-c0b8d0d1f7eb", "image_1": "Perception/single/cb818c3e-fa24-4bab-ad70-c0b8d0d1f7eb_0.png", "image_2": null, "question": "Is gaussian blur the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "41b8cedb-cb9a-4a92-9fdf-46623552a35d", "image_1": "Perception/single/41b8cedb-cb9a-4a92-9fdf-46623552a35d_0.png", "image_2": null, "question": "Is dead pixel present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "aba9c771-41fa-4093-85b3-0c9a20674f79", "image_1": "Perception/single/aba9c771-41fa-4093-85b3-0c9a20674f79_0.png", "image_2": null, "question": "Is motion blur the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "29853ef2-ead8-4cf0-b438-62b0a7b7d42c", "image_1": "Perception/single/29853ef2-ead8-4cf0-b438-62b0a7b7d42c_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "b2b2dbe8-59c3-4cd4-81b2-b1312628bb9b", "image_1": "Perception/single/b2b2dbe8-59c3-4cd4-81b2-b1312628bb9b_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "eaedcc56-dacd-44c1-be87-fba978ca66d9", "image_1": "Perception/single/eaedcc56-dacd-44c1-be87-fba978ca66d9_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "370de7c2-2861-4b5c-b52f-b2b57c737d32", "image_1": "Perception/single/370de7c2-2861-4b5c-b52f-b2b57c737d32_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f7664af1-5f62-4707-9288-ccec2a3f1468", "image_1": "Perception/single/f7664af1-5f62-4707-9288-ccec2a3f1468_0.png", "image_2": null, "question": "Does gaussian noise result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "95f07ca9-89e0-4920-a2cf-f987f9c6fb59", "image_1": "Perception/single/95f07ca9-89e0-4920-a2cf-f987f9c6fb59_0.png", "image_2": null, "question": "Is there haze present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "67e28d00-4abb-4ed5-a85b-8f44dbca9232", "image_1": "Perception/single/67e28d00-4abb-4ed5-a85b-8f44dbca9232_0.png", "image_2": null, "question": "Does this image contain motion blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "dd311137-40e4-455d-b749-d1f4a0f14b8b", "image_1": "Perception/single/dd311137-40e4-455d-b749-d1f4a0f14b8b_0.png", "image_2": null, "question": "Does motion blur affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "52e4a4da-8b83-4bea-88d7-dcb01bbcb7b5", "image_1": "Perception/single/52e4a4da-8b83-4bea-88d7-dcb01bbcb7b5_0.png", "image_2": null, "question": "Is motion blur a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "12bf04dc-d375-4432-bd16-62572478aab9", "image_1": "Perception/single/12bf04dc-d375-4432-bd16-62572478aab9_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "df951b4e-89d5-45d1-a259-6b2a324494e2", "image_1": "Perception/single/df951b4e-89d5-45d1-a259-6b2a324494e2_0.png", "image_2": null, "question": "Does motion blur compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "babfea60-66b5-4c08-9953-82bc6d5bb6dc", "image_1": "Perception/single/babfea60-66b5-4c08-9953-82bc6d5bb6dc_0.png", "image_2": null, "question": "Does this image contain dead pixel?\nA.Yes\nB.No", "answer": "B"}
{"id": "64f77c54-0f1b-4606-ae3e-868cd325439c", "image_1": "Perception/single/64f77c54-0f1b-4606-ae3e-868cd325439c_0.png", "image_2": null, "question": "Is motion blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8397b07c-bdd8-47f5-aee6-985675c4f464", "image_1": "Perception/single/8397b07c-bdd8-47f5-aee6-985675c4f464_0.png", "image_2": null, "question": "Is stripe noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "57456d16-4b6b-4d1b-8edc-4906d5382f1a", "image_1": "Perception/single/57456d16-4b6b-4d1b-8edc-4906d5382f1a_0.png", "image_2": null, "question": "Does haze obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "a677c449-dadb-46b2-8b3b-6aea3518e530", "image_1": "Perception/single/a677c449-dadb-46b2-8b3b-6aea3518e530_0.png", "image_2": null, "question": "Does color distortion result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "5bf7c556-2df4-44f4-8c33-2f11e82c8bc8", "image_1": "Perception/single/5bf7c556-2df4-44f4-8c33-2f11e82c8bc8_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "245a1f0f-6efd-4bbc-ba24-e8f5497173c9", "image_1": "Perception/single/245a1f0f-6efd-4bbc-ba24-e8f5497173c9_0.png", "image_2": null, "question": "Is motion blur visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "9d97193b-781a-46c4-bd00-cacaaa5366df", "image_1": "Perception/single/9d97193b-781a-46c4-bd00-cacaaa5366df_0.png", "image_2": null, "question": "Is haze the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "9895afbd-1958-49d9-80e9-3ef5e8f6d9f1", "image_1": "Perception/single/9895afbd-1958-49d9-80e9-3ef5e8f6d9f1_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "6e2932a5-45da-46a0-920a-ea76c3cd5cfc", "image_1": "Perception/single/6e2932a5-45da-46a0-920a-ea76c3cd5cfc_0.png", "image_2": null, "question": "Is stripe noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "3fa4143f-34a4-426d-a081-6591137a258e", "image_1": "Perception/single/3fa4143f-34a4-426d-a081-6591137a258e_0.png", "image_2": null, "question": "Does spatially correlated noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "5706e31d-642e-4d23-83ad-8c37c803d8bd", "image_1": "Perception/single/5706e31d-642e-4d23-83ad-8c37c803d8bd_0.png", "image_2": null, "question": "Is cloud the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "5a1a79ea-3f82-47aa-80fa-5ba1264983a8", "image_1": "Perception/single/5a1a79ea-3f82-47aa-80fa-5ba1264983a8_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "5b5cd921-2ef1-4986-963c-cf4fd2ec9d2f", "image_1": "Perception/single/5b5cd921-2ef1-4986-963c-cf4fd2ec9d2f_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "6c27ad69-9da8-49e0-8838-01110f04384c", "image_1": "Perception/single/6c27ad69-9da8-49e0-8838-01110f04384c_0.png", "image_2": null, "question": "Is there motion blur present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a6a87f97-132f-49b4-90fc-582e0320dca9", "image_1": "Perception/single/a6a87f97-132f-49b4-90fc-582e0320dca9_0.png", "image_2": null, "question": "Is color distortion responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f279b573-e8fb-43e6-80dd-d6821ab83683", "image_1": "Perception/single/f279b573-e8fb-43e6-80dd-d6821ab83683_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "9fd90278-5c79-41bf-b019-6485603ee88c", "image_1": "Perception/single/9fd90278-5c79-41bf-b019-6485603ee88c_0.png", "image_2": null, "question": "Does motion blur affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "ba2b7fe2-1b3d-4413-afd8-d627bd24c74f", "image_1": "Perception/single/ba2b7fe2-1b3d-4413-afd8-d627bd24c74f_0.png", "image_2": null, "question": "Is image stretching present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "fe3e0bb9-9365-4fb7-aad3-ed4dbfa6db19", "image_1": "Perception/single/fe3e0bb9-9365-4fb7-aad3-ed4dbfa6db19_0.png", "image_2": null, "question": "Is motion blur a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c0fa0e04-c750-40c4-bf82-f5b770b03d54", "image_1": "Perception/single/c0fa0e04-c750-40c4-bf82-f5b770b03d54_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "3151d32a-e227-492e-8c66-e7631c4061d9", "image_1": "Perception/single/3151d32a-e227-492e-8c66-e7631c4061d9_0.png", "image_2": null, "question": "Is motion blur a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "e3a9b73c-c2d7-4c85-8549-7b4afcd9f9f6", "image_1": "Perception/single/e3a9b73c-c2d7-4c85-8549-7b4afcd9f9f6_0.png", "image_2": null, "question": "Does motion blur affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "fd3d6953-d83e-4c39-b892-3fedfc0b5eac", "image_1": "Perception/single/fd3d6953-d83e-4c39-b892-3fedfc0b5eac_0.png", "image_2": null, "question": "Is there motion blur present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "cf5770ea-7951-4ae0-871e-2c9cf437d075", "image_1": "Perception/single/cf5770ea-7951-4ae0-871e-2c9cf437d075_0.png", "image_2": null, "question": "Is image compression present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "4e8b860e-4f6a-4758-af64-19013c074651", "image_1": "Perception/single/4e8b860e-4f6a-4758-af64-19013c074651_0.png", "image_2": null, "question": "Does motion blur affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "d259ddb4-d672-4bf3-97d8-716fb30e41f3", "image_1": "Perception/single/d259ddb4-d672-4bf3-97d8-716fb30e41f3_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "b42812f7-bd2a-4a6b-916f-c0b5ed65330a", "image_1": "Perception/single/b42812f7-bd2a-4a6b-916f-c0b5ed65330a_0.png", "image_2": null, "question": "Is motion blur the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "63a9311e-0932-403c-bb30-11d48a505853", "image_1": "Perception/single/63a9311e-0932-403c-bb30-11d48a505853_0.png", "image_2": null, "question": "Does motion blur interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "c762af21-d92b-4edb-89b3-a08af6bfe8b1", "image_1": "Perception/single/c762af21-d92b-4edb-89b3-a08af6bfe8b1_0.png", "image_2": null, "question": "Does motion blur lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "3b6c0653-7cc1-4b6b-a63f-6f5c4886de72", "image_1": "Perception/single/3b6c0653-7cc1-4b6b-a63f-6f5c4886de72_0.png", "image_2": null, "question": "Does motion blur reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d12b785a-d7be-4e2b-894a-3ca56e090b3e", "image_1": "Perception/single/d12b785a-d7be-4e2b-894a-3ca56e090b3e_0.png", "image_2": null, "question": "Can motion blur be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "04a91833-bb14-4b7b-b386-bbe86618b3ff", "image_1": "Perception/single/04a91833-bb14-4b7b-b386-bbe86618b3ff_0.png", "image_2": null, "question": "Can deadline noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "b0123042-2833-4973-85c4-b3c53bd1d097", "image_1": "Perception/single/b0123042-2833-4973-85c4-b3c53bd1d097_0.png", "image_2": null, "question": "Can motion blur be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6ef66d34-887a-48e9-8493-331da2a940cc", "image_1": "Perception/single/6ef66d34-887a-48e9-8493-331da2a940cc_0.png", "image_2": null, "question": "Does stripe noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "dbe30930-a148-441a-ba6c-756b8093a473", "image_1": "Perception/single/dbe30930-a148-441a-ba6c-756b8093a473_0.png", "image_2": null, "question": "Does motion blur affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "af4d30d2-1e98-488d-a6a7-87597345ec6b", "image_1": "Perception/single/af4d30d2-1e98-488d-a6a7-87597345ec6b_0.png", "image_2": null, "question": "Is motion blur a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ade3a11c-4579-4900-8fda-d18cb5fade46", "image_1": "Perception/single/ade3a11c-4579-4900-8fda-d18cb5fade46_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "8c468ca3-6fbd-4753-98d8-8cacccbdf3cb", "image_1": "Perception/single/8c468ca3-6fbd-4753-98d8-8cacccbdf3cb_0.png", "image_2": null, "question": "Is motion blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a6c9ae8c-b876-4577-89ac-2280cf7db9f6", "image_1": "Perception/single/a6c9ae8c-b876-4577-89ac-2280cf7db9f6_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "cde0e453-7862-4a63-b0f2-ca0edd4cb620", "image_1": "Perception/single/cde0e453-7862-4a63-b0f2-ca0edd4cb620_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a91a2360-32c7-4b55-99fc-ed0c7158a7c9", "image_1": "Perception/single/a91a2360-32c7-4b55-99fc-ed0c7158a7c9_0.png", "image_2": null, "question": "Does motion blur interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "807f3ffc-9e1e-40ab-93d9-920af78807b2", "image_1": "Perception/single/807f3ffc-9e1e-40ab-93d9-920af78807b2_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d38b5fa3-a711-4b05-b9db-fc6076bd1cb6", "image_1": "Perception/single/d38b5fa3-a711-4b05-b9db-fc6076bd1cb6_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "410ee4bf-4ac3-40dc-a25f-1d9362c6bcd1", "image_1": "Perception/single/410ee4bf-4ac3-40dc-a25f-1d9362c6bcd1_0.png", "image_2": null, "question": "Is there motion blur present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d0f1621f-bda1-4b27-8829-03d918ddf2c6", "image_1": "Perception/single/d0f1621f-bda1-4b27-8829-03d918ddf2c6_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "668086d7-ed43-40c4-a099-46237328c6e2", "image_1": "Perception/single/668086d7-ed43-40c4-a099-46237328c6e2_0.png", "image_2": null, "question": "Is there motion blur present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "f87b1ed2-c3e4-4093-aa65-7fd464155834", "image_1": "Perception/single/f87b1ed2-c3e4-4093-aa65-7fd464155834_0.png", "image_2": null, "question": "Is motion blur the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "42ac8a2b-5039-4510-9ec8-1074f17e3569", "image_1": "Perception/single/42ac8a2b-5039-4510-9ec8-1074f17e3569_0.png", "image_2": null, "question": "Does motion blur interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "5332099e-92e9-4bab-855b-d01772cdfdf6", "image_1": "Perception/single/5332099e-92e9-4bab-855b-d01772cdfdf6_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "4adb21a0-c7b6-4a95-abbf-10cd9a704f8e", "image_1": "Perception/single/4adb21a0-c7b6-4a95-abbf-10cd9a704f8e_0.png", "image_2": null, "question": "Does stripe noise result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "5eafd98f-d131-4ae9-82ee-9196f77f3bd0", "image_1": "Perception/single/5eafd98f-d131-4ae9-82ee-9196f77f3bd0_0.png", "image_2": null, "question": "Is motion blur the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "33c784d3-1af2-4e73-8bd7-5308581314a1", "image_1": "Perception/single/33c784d3-1af2-4e73-8bd7-5308581314a1_0.png", "image_2": null, "question": "Is stripe noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "d052057d-2ea7-42e0-aaf9-caf2a1806a90", "image_1": "Perception/single/d052057d-2ea7-42e0-aaf9-caf2a1806a90_0.png", "image_2": null, "question": "Does cloud reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "5b6f4216-949c-4e76-9dfc-cc7892de66e1", "image_1": "Perception/single/5b6f4216-949c-4e76-9dfc-cc7892de66e1_0.png", "image_2": null, "question": "Does the image exhibit motion blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "43123c08-7ef4-45bc-af8f-d3286a9ecd48", "image_1": "Perception/single/43123c08-7ef4-45bc-af8f-d3286a9ecd48_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "032e8555-b387-427d-b5fb-14053c1428f7", "image_1": "Perception/single/032e8555-b387-427d-b5fb-14053c1428f7_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "b96fd025-0e2d-48b0-93b0-9569820e1477", "image_1": "Perception/single/b96fd025-0e2d-48b0-93b0-9569820e1477_0.png", "image_2": null, "question": "Is motion blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "82a50faa-1377-41a4-a278-7d67a0fa75b9", "image_1": "Perception/single/82a50faa-1377-41a4-a278-7d67a0fa75b9_0.png", "image_2": null, "question": "Does motion blur lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "f3e0033b-bcd0-4bee-a793-2d4b7ddce2d4", "image_1": "Perception/single/f3e0033b-bcd0-4bee-a793-2d4b7ddce2d4_0.png", "image_2": null, "question": "Is the image impacted by missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "2e286c3a-263b-4ffe-8df0-45291f05cd4a", "image_1": "Perception/single/2e286c3a-263b-4ffe-8df0-45291f05cd4a_0.png", "image_2": null, "question": "Does missing tiles interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "38022474-6ae7-46b9-92af-92fe55b2d483", "image_1": "Perception/single/38022474-6ae7-46b9-92af-92fe55b2d483_0.png", "image_2": null, "question": "Can motion blur be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a7ad8dd9-dbea-4c87-a2c5-6e70b6db6458", "image_1": "Perception/single/a7ad8dd9-dbea-4c87-a2c5-6e70b6db6458_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "99ff9723-25c0-4c36-94c7-32014e471289", "image_1": "Perception/single/99ff9723-25c0-4c36-94c7-32014e471289_0.png", "image_2": null, "question": "Is image stretching apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "08b2a452-d2e1-4b29-a619-972b1dc7ab00", "image_1": "Perception/single/08b2a452-d2e1-4b29-a619-972b1dc7ab00_0.png", "image_2": null, "question": "Is there gaussian noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e2e8afd7-80ba-4a16-a660-0b344e2745a4", "image_1": "Perception/single/e2e8afd7-80ba-4a16-a660-0b344e2745a4_0.png", "image_2": null, "question": "Does the image exhibit spatially correlated noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "c437d4e6-a0a7-4368-aa70-10df04b8a397", "image_1": "Perception/single/c437d4e6-a0a7-4368-aa70-10df04b8a397_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1bba630d-901f-47f8-8d2c-6312efaff0dc", "image_1": "Perception/single/1bba630d-901f-47f8-8d2c-6312efaff0dc_0.png", "image_2": null, "question": "Is haze a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "5c18d9d4-1d18-4a04-a2a2-d6fa364be20a", "image_1": "Perception/single/5c18d9d4-1d18-4a04-a2a2-d6fa364be20a_0.png", "image_2": null, "question": "Does motion blur affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "0b7b9b8f-16f2-4442-9005-710beebd38ad", "image_1": "Perception/single/0b7b9b8f-16f2-4442-9005-710beebd38ad_0.png", "image_2": null, "question": "Does motion blur interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "44d6e66e-828f-42a4-86a7-fd7853cde397", "image_1": "Perception/single/44d6e66e-828f-42a4-86a7-fd7853cde397_0.png", "image_2": null, "question": "Does motion blur interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "66779905-c2bf-4dd8-9251-86baba6ba588", "image_1": "Perception/single/66779905-c2bf-4dd8-9251-86baba6ba588_0.png", "image_2": null, "question": "Is motion blur a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "838af65e-2c84-4327-b6b5-dca47ff9e146", "image_1": "Perception/single/838af65e-2c84-4327-b6b5-dca47ff9e146_0.png", "image_2": null, "question": "Does motion blur reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "cdccbad1-05c0-4a64-b6ab-e86e817d7cb7", "image_1": "Perception/single/cdccbad1-05c0-4a64-b6ab-e86e817d7cb7_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "090a9b92-be19-452a-8c4d-90ed4800c050", "image_1": "Perception/single/090a9b92-be19-452a-8c4d-90ed4800c050_0.png", "image_2": null, "question": "Is motion blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "5f5f1950-d00b-47ec-9690-8990d6019312", "image_1": "Perception/single/5f5f1950-d00b-47ec-9690-8990d6019312_0.png", "image_2": null, "question": "Is gaussian blur the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "640c3b97-6964-409a-989f-09ab7684ef69", "image_1": "Perception/single/640c3b97-6964-409a-989f-09ab7684ef69_0.png", "image_2": null, "question": "Is motion blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "4df81e57-0423-4a50-be1f-3dff41d5c3e3", "image_1": "Perception/single/4df81e57-0423-4a50-be1f-3dff41d5c3e3_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "333e85af-8b36-4a34-b8f0-23270b569d83", "image_1": "Perception/single/333e85af-8b36-4a34-b8f0-23270b569d83_0.png", "image_2": null, "question": "Is motion blur the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "01e22d41-0fec-4e1f-8535-cf5ed71cf807", "image_1": "Perception/single/01e22d41-0fec-4e1f-8535-cf5ed71cf807_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "40627223-c3fd-465a-8a5c-4da5897fed31", "image_1": "Perception/single/40627223-c3fd-465a-8a5c-4da5897fed31_0.png", "image_2": null, "question": "Is motion blur visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c610b438-00cd-4679-b64c-9a8ea49dd21e", "image_1": "Perception/single/c610b438-00cd-4679-b64c-9a8ea49dd21e_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "a167fb08-59f4-4654-b361-cdd4740b5963", "image_1": "Perception/single/a167fb08-59f4-4654-b361-cdd4740b5963_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "884602ae-91f6-46a3-962f-4d8570270f7c", "image_1": "Perception/single/884602ae-91f6-46a3-962f-4d8570270f7c_0.png", "image_2": null, "question": "Is motion blur visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6b93f4d4-07f8-436c-87a1-d9e1948775ef", "image_1": "Perception/single/6b93f4d4-07f8-436c-87a1-d9e1948775ef_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "c08448d1-6699-4a0c-9ec5-deb9d825609f", "image_1": "Perception/single/c08448d1-6699-4a0c-9ec5-deb9d825609f_0.png", "image_2": null, "question": "Is motion blur present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "7e492ada-d8b5-4144-bbce-0db51bd5ff00", "image_1": "Perception/single/7e492ada-d8b5-4144-bbce-0db51bd5ff00_0.png", "image_2": null, "question": "Does dead pixel compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "904826db-3f80-4e7c-b731-259b86a6b8d0", "image_1": "Perception/single/904826db-3f80-4e7c-b731-259b86a6b8d0_0.png", "image_2": null, "question": "Is motion blur a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c18fbc63-15e4-49d5-b242-7527f439e2e1", "image_1": "Perception/single/c18fbc63-15e4-49d5-b242-7527f439e2e1_0.png", "image_2": null, "question": "Is haze the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "383847c5-c060-4c76-beab-eed18dedd173", "image_1": "Perception/single/383847c5-c060-4c76-beab-eed18dedd173_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "8ff7c29c-d2a1-4435-98da-bf44a25abf60", "image_1": "Perception/single/8ff7c29c-d2a1-4435-98da-bf44a25abf60_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "bb292071-e848-4dd5-b72c-82bc536f3d27", "image_1": "Perception/single/bb292071-e848-4dd5-b72c-82bc536f3d27_0.png", "image_2": null, "question": "Does the image exhibit haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "bebe6670-ed73-42ba-860b-3ae6b89d538e", "image_1": "Perception/single/bebe6670-ed73-42ba-860b-3ae6b89d538e_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "6d515e82-9c06-4837-99be-3ea210a163d2", "image_1": "Perception/single/6d515e82-9c06-4837-99be-3ea210a163d2_0.png", "image_2": null, "question": "Does haze affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "f984d710-2bdb-453f-81bd-05f34b079b5e", "image_1": "Perception/single/f984d710-2bdb-453f-81bd-05f34b079b5e_0.png", "image_2": null, "question": "Does haze result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "5c6ecab1-e16a-4c12-9029-0ff8e3ce408d", "image_1": "Perception/single/5c6ecab1-e16a-4c12-9029-0ff8e3ce408d_0.png", "image_2": null, "question": "Is there haze present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "829912e7-c309-456e-b44f-c2ceadff5286", "image_1": "Perception/single/829912e7-c309-456e-b44f-c2ceadff5286_0.png", "image_2": null, "question": "Does this image contain haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "c4840fd7-49ba-472e-a55a-ec59b3ec7ab1", "image_1": "Perception/single/c4840fd7-49ba-472e-a55a-ec59b3ec7ab1_0.png", "image_2": null, "question": "Is gaussian noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "b38d19f7-cb7e-44b3-809c-dd456fa3f1d0", "image_1": "Perception/single/b38d19f7-cb7e-44b3-809c-dd456fa3f1d0_0.png", "image_2": null, "question": "Does haze obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "ae90cdc7-dfc4-431f-8004-c68f979eab79", "image_1": "Perception/single/ae90cdc7-dfc4-431f-8004-c68f979eab79_0.png", "image_2": null, "question": "Does haze compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "c01b26fb-dddb-4890-9ae5-8797674d54ac", "image_1": "Perception/single/c01b26fb-dddb-4890-9ae5-8797674d54ac_0.png", "image_2": null, "question": "Does this image contain dead pixel?\nA.Yes\nB.No", "answer": "B"}
{"id": "8b05680b-dc33-412d-b6af-346507859812", "image_1": "Perception/single/8b05680b-dc33-412d-b6af-346507859812_0.png", "image_2": null, "question": "Is image stretching a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c85fb1e3-68b7-44a0-8d51-39e62cc509e4", "image_1": "Perception/single/c85fb1e3-68b7-44a0-8d51-39e62cc509e4_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e24a5d97-35c0-43d5-9454-4af4389c8844", "image_1": "Perception/single/e24a5d97-35c0-43d5-9454-4af4389c8844_0.png", "image_2": null, "question": "Does haze obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "7e5f7bc9-6f2a-4a39-96fc-575acef63380", "image_1": "Perception/single/7e5f7bc9-6f2a-4a39-96fc-575acef63380_0.png", "image_2": null, "question": "Does color distortion result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "ccc5e734-1aaf-4be8-9c3a-163000de5ac0", "image_1": "Perception/single/ccc5e734-1aaf-4be8-9c3a-163000de5ac0_0.png", "image_2": null, "question": "Does haze lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "1c1f8d8c-e1ec-458a-b786-7034680cdf9f", "image_1": "Perception/single/1c1f8d8c-e1ec-458a-b786-7034680cdf9f_0.png", "image_2": null, "question": "Does this image contain haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "4b5f7803-7e6b-43c9-8667-3d0820aa8ce0", "image_1": "Perception/single/4b5f7803-7e6b-43c9-8667-3d0820aa8ce0_0.png", "image_2": null, "question": "Is the image impacted by deadline noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "6d6f001e-36bb-4bf4-b95e-7e29b737422d", "image_1": "Perception/single/6d6f001e-36bb-4bf4-b95e-7e29b737422d_0.png", "image_2": null, "question": "Is haze the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "8e94bd88-ccf6-43f9-90e5-ccbc0e4e4489", "image_1": "Perception/single/8e94bd88-ccf6-43f9-90e5-ccbc0e4e4489_0.png", "image_2": null, "question": "Does haze lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "bbeab62b-a0b0-4418-acd5-905db6088a37", "image_1": "Perception/single/bbeab62b-a0b0-4418-acd5-905db6088a37_0.png", "image_2": null, "question": "Does the image exhibit haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "726df470-8bbc-48ed-a15e-977f39fd0771", "image_1": "Perception/single/726df470-8bbc-48ed-a15e-977f39fd0771_0.png", "image_2": null, "question": "Is stripe noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "2142aad0-ec97-49df-a265-81655e3770ea", "image_1": "Perception/single/2142aad0-ec97-49df-a265-81655e3770ea_0.png", "image_2": null, "question": "Does spatially correlated noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "b9f236a1-ba86-4122-b27a-80252be5a563", "image_1": "Perception/single/b9f236a1-ba86-4122-b27a-80252be5a563_0.png", "image_2": null, "question": "Does haze interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "5fedcc01-2943-4eac-b50b-22d5474aa61b", "image_1": "Perception/single/5fedcc01-2943-4eac-b50b-22d5474aa61b_0.png", "image_2": null, "question": "Can spatially correlated noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "b32a45c6-30f4-4d07-8521-7085a763eaf7", "image_1": "Perception/single/b32a45c6-30f4-4d07-8521-7085a763eaf7_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "99503143-3975-4a21-9b30-b1a45d10c5fa", "image_1": "Perception/single/99503143-3975-4a21-9b30-b1a45d10c5fa_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "3d4c8fbc-5027-48e0-8170-ab0fd0dabe3d", "image_1": "Perception/single/3d4c8fbc-5027-48e0-8170-ab0fd0dabe3d_0.png", "image_2": null, "question": "Does haze reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "2afbd926-528f-4b19-ae16-6232602d866f", "image_1": "Perception/single/2afbd926-528f-4b19-ae16-6232602d866f_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "2f959f09-593c-4ac8-a392-c180e3c7722a", "image_1": "Perception/single/2f959f09-593c-4ac8-a392-c180e3c7722a_0.png", "image_2": null, "question": "Does haze interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "2d75e12b-72e3-4f0b-a32f-ee2f1c221367", "image_1": "Perception/single/2d75e12b-72e3-4f0b-a32f-ee2f1c221367_0.png", "image_2": null, "question": "Does haze affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "a1a8e254-0e7f-4a55-8bb0-43be043da942", "image_1": "Perception/single/a1a8e254-0e7f-4a55-8bb0-43be043da942_0.png", "image_2": null, "question": "Is haze responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ae848591-1504-4b9d-8845-ce79cfb71400", "image_1": "Perception/single/ae848591-1504-4b9d-8845-ce79cfb71400_0.png", "image_2": null, "question": "Is haze present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "f7c4bd15-b81e-4fe3-a144-10c38386c0b6", "image_1": "Perception/single/f7c4bd15-b81e-4fe3-a144-10c38386c0b6_0.png", "image_2": null, "question": "Is haze a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "69bf49a1-e8fc-4bb8-b841-1f277f22c6d8", "image_1": "Perception/single/69bf49a1-e8fc-4bb8-b841-1f277f22c6d8_0.png", "image_2": null, "question": "Can haze be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b45767e6-9a7c-4533-8d87-c461b569f758", "image_1": "Perception/single/b45767e6-9a7c-4533-8d87-c461b569f758_0.png", "image_2": null, "question": "Does haze result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "00dfee3f-9c9c-4989-a934-c26fbd554062", "image_1": "Perception/single/00dfee3f-9c9c-4989-a934-c26fbd554062_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "30046422-c98f-4048-838a-cb3182ff6a49", "image_1": "Perception/single/30046422-c98f-4048-838a-cb3182ff6a49_0.png", "image_2": null, "question": "Is there haze present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b14124a0-f607-4817-9eb2-49cbbb579513", "image_1": "Perception/single/b14124a0-f607-4817-9eb2-49cbbb579513_0.png", "image_2": null, "question": "Is image compression present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "5df3e48b-c197-4c04-887b-a1c4ce55682a", "image_1": "Perception/single/5df3e48b-c197-4c04-887b-a1c4ce55682a_0.png", "image_2": null, "question": "Does haze affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "5724f1ce-bbb3-4646-a2fa-a7e6ed9939e7", "image_1": "Perception/single/5724f1ce-bbb3-4646-a2fa-a7e6ed9939e7_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "02d4f251-9d09-45f9-a6fe-e27144627e73", "image_1": "Perception/single/02d4f251-9d09-45f9-a6fe-e27144627e73_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "cb6dbab7-2e3c-48a9-8131-61aab544d531", "image_1": "Perception/single/cb6dbab7-2e3c-48a9-8131-61aab544d531_0.png", "image_2": null, "question": "Does haze reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8a521679-7736-4d7e-ae34-ce0f2f3f92e1", "image_1": "Perception/single/8a521679-7736-4d7e-ae34-ce0f2f3f92e1_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4ac1c4f3-e5dc-4dc1-b02c-f52f0f79c655", "image_1": "Perception/single/4ac1c4f3-e5dc-4dc1-b02c-f52f0f79c655_0.png", "image_2": null, "question": "Is haze visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "9ec58408-d061-44bf-808e-0aa7facafeea", "image_1": "Perception/single/9ec58408-d061-44bf-808e-0aa7facafeea_0.png", "image_2": null, "question": "Can haze be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "87dcdaa2-3c8f-4f42-b259-b1deab977b75", "image_1": "Perception/single/87dcdaa2-3c8f-4f42-b259-b1deab977b75_0.png", "image_2": null, "question": "Can haze be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "35fecef5-db1c-4c77-b585-2d8401f3ccfd", "image_1": "Perception/single/35fecef5-db1c-4c77-b585-2d8401f3ccfd_0.png", "image_2": null, "question": "Does stripe noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "e6b62948-ff35-46b9-9f9d-225fb78b38a9", "image_1": "Perception/single/e6b62948-ff35-46b9-9f9d-225fb78b38a9_0.png", "image_2": null, "question": "Does haze affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "882e387a-0754-47eb-9e14-113c096e5573", "image_1": "Perception/single/882e387a-0754-47eb-9e14-113c096e5573_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "cc956387-088a-45cf-8f25-2256f22fa4c7", "image_1": "Perception/single/cc956387-088a-45cf-8f25-2256f22fa4c7_0.png", "image_2": null, "question": "Does image stretching obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "96e75d15-c088-4cbc-91cc-9138b97a5458", "image_1": "Perception/single/96e75d15-c088-4cbc-91cc-9138b97a5458_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "639db749-1587-4ded-986e-7dfc84d47369", "image_1": "Perception/single/639db749-1587-4ded-986e-7dfc84d47369_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "5ab3550b-2515-4100-aeac-89acab971b45", "image_1": "Perception/single/5ab3550b-2515-4100-aeac-89acab971b45_0.png", "image_2": null, "question": "Is haze responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d18d2004-e499-40f1-ae7f-5447fe19e7ec", "image_1": "Perception/single/d18d2004-e499-40f1-ae7f-5447fe19e7ec_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "a2ce393d-5f96-4194-b3dc-43b772c6b532", "image_1": "Perception/single/a2ce393d-5f96-4194-b3dc-43b772c6b532_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "f19ac120-bf86-4c56-9434-f8d873a8c188", "image_1": "Perception/single/f19ac120-bf86-4c56-9434-f8d873a8c188_0.png", "image_2": null, "question": "Is there haze present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "2df0ac6c-d0fc-4a9e-a9eb-3bf07160f0b7", "image_1": "Perception/single/2df0ac6c-d0fc-4a9e-a9eb-3bf07160f0b7_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "186b7df8-9a25-4839-9905-5c06aec71f85", "image_1": "Perception/single/186b7df8-9a25-4839-9905-5c06aec71f85_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "eea36a90-78e2-4a53-8f33-bed98a06f1f3", "image_1": "Perception/single/eea36a90-78e2-4a53-8f33-bed98a06f1f3_0.png", "image_2": null, "question": "Is haze a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8786d37f-183e-4b7f-9f1e-4753ad41b583", "image_1": "Perception/single/8786d37f-183e-4b7f-9f1e-4753ad41b583_0.png", "image_2": null, "question": "Is missing tiles the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "9f9e93cb-33e3-4e19-8078-0bc01d097817", "image_1": "Perception/single/9f9e93cb-33e3-4e19-8078-0bc01d097817_0.png", "image_2": null, "question": "Is stripe noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "d1091306-8cee-4c15-ad07-d9520a72136e", "image_1": "Perception/single/d1091306-8cee-4c15-ad07-d9520a72136e_0.png", "image_2": null, "question": "Does haze interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "f15ffb62-cde6-4ef1-9b35-c743b63df312", "image_1": "Perception/single/f15ffb62-cde6-4ef1-9b35-c743b63df312_0.png", "image_2": null, "question": "Does haze reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "03eb72ba-2ecc-49f7-be9e-4a390faf050f", "image_1": "Perception/single/03eb72ba-2ecc-49f7-be9e-4a390faf050f_0.png", "image_2": null, "question": "Does the image exhibit haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "33f79355-5892-4d8c-8478-951e7cdd3f44", "image_1": "Perception/single/33f79355-5892-4d8c-8478-951e7cdd3f44_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "d7c60ad8-c4af-4b97-a26c-1e8e39bf9a71", "image_1": "Perception/single/d7c60ad8-c4af-4b97-a26c-1e8e39bf9a71_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "433c7805-2434-43b5-9818-6a262862d6dc", "image_1": "Perception/single/433c7805-2434-43b5-9818-6a262862d6dc_0.png", "image_2": null, "question": "Is haze responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "2b5476ea-270c-487b-a8bc-0b6e12ce25b9", "image_1": "Perception/single/2b5476ea-270c-487b-a8bc-0b6e12ce25b9_0.png", "image_2": null, "question": "Does haze lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "72bd670a-fe33-4262-a737-3a8f5507aa0a", "image_1": "Perception/single/72bd670a-fe33-4262-a737-3a8f5507aa0a_0.png", "image_2": null, "question": "Is the image impacted by missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "96e943f1-028e-4ca8-a19c-0155414d8b79", "image_1": "Perception/single/96e943f1-028e-4ca8-a19c-0155414d8b79_0.png", "image_2": null, "question": "Does haze result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "693d6242-b443-494c-9792-cc03c8f569f7", "image_1": "Perception/single/693d6242-b443-494c-9792-cc03c8f569f7_0.png", "image_2": null, "question": "Can cloud be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "36a529cc-3bc6-4792-8215-1ecc8aae0c61", "image_1": "Perception/single/36a529cc-3bc6-4792-8215-1ecc8aae0c61_0.png", "image_2": null, "question": "Does haze obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "b3625e21-c6fb-4170-8207-58bd2b2d3676", "image_1": "Perception/single/b3625e21-c6fb-4170-8207-58bd2b2d3676_0.png", "image_2": null, "question": "Does the image exhibit haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "c299fd20-c32c-4f07-adba-4b18dd586a4c", "image_1": "Perception/single/c299fd20-c32c-4f07-adba-4b18dd586a4c_0.png", "image_2": null, "question": "Is image stretching apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "fddad0ef-b6a9-4e14-b26e-a32ffd3d4072", "image_1": "Perception/single/fddad0ef-b6a9-4e14-b26e-a32ffd3d4072_0.png", "image_2": null, "question": "Does haze affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "6961c415-7807-45e7-994b-075abfaa5a31", "image_1": "Perception/single/6961c415-7807-45e7-994b-075abfaa5a31_0.png", "image_2": null, "question": "Is motion blur the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "4155585f-b41a-4c73-b199-07524b83792f", "image_1": "Perception/single/4155585f-b41a-4c73-b199-07524b83792f_0.png", "image_2": null, "question": "Is impulse noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "48eef079-f584-4bf9-b8d1-18c64582d092", "image_1": "Perception/single/48eef079-f584-4bf9-b8d1-18c64582d092_0.png", "image_2": null, "question": "Is haze a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ed7deec8-ea94-4450-9794-d6c49868c029", "image_1": "Perception/single/ed7deec8-ea94-4450-9794-d6c49868c029_0.png", "image_2": null, "question": "Does haze affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "12f0c9a6-0f7d-411a-8128-4da90f3fa691", "image_1": "Perception/single/12f0c9a6-0f7d-411a-8128-4da90f3fa691_0.png", "image_2": null, "question": "Does haze interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "84659fec-7366-4c3f-b9f1-140a97216b4c", "image_1": "Perception/single/84659fec-7366-4c3f-b9f1-140a97216b4c_0.png", "image_2": null, "question": "Does haze interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "9e405ed9-cff5-4f9a-8ffe-18131c9db28d", "image_1": "Perception/single/9e405ed9-cff5-4f9a-8ffe-18131c9db28d_0.png", "image_2": null, "question": "Is haze a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ff9232bf-68e7-415f-8fb2-7f1c22853151", "image_1": "Perception/single/ff9232bf-68e7-415f-8fb2-7f1c22853151_0.png", "image_2": null, "question": "Does haze reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d9d780ac-fc89-471e-95b2-ae81efb7f246", "image_1": "Perception/single/d9d780ac-fc89-471e-95b2-ae81efb7f246_0.png", "image_2": null, "question": "Does haze compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "a0c953bf-37be-45da-87fa-eb009dc67136", "image_1": "Perception/single/a0c953bf-37be-45da-87fa-eb009dc67136_0.png", "image_2": null, "question": "Does haze lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "38b5c172-62e3-48b4-a23f-467ca971b742", "image_1": "Perception/single/38b5c172-62e3-48b4-a23f-467ca971b742_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "B"}
{"id": "d18948b1-7ddd-43d6-b921-6489d4928be3", "image_1": "Perception/single/d18948b1-7ddd-43d6-b921-6489d4928be3_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "dc203fba-502e-43df-ba7a-6f52660fc43c", "image_1": "Perception/single/dc203fba-502e-43df-ba7a-6f52660fc43c_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "76e7efe5-0beb-4052-b910-deefaecef180", "image_1": "Perception/single/76e7efe5-0beb-4052-b910-deefaecef180_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "c19c4699-0106-404d-953c-f36102428fa1", "image_1": "Perception/single/c19c4699-0106-404d-953c-f36102428fa1_0.png", "image_2": null, "question": "Is haze visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "675ccc3a-2b18-4e5e-bff3-2b3dc45893bc", "image_1": "Perception/single/675ccc3a-2b18-4e5e-bff3-2b3dc45893bc_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "8c8d263e-4570-494f-a891-fd01661a7d23", "image_1": "Perception/single/8c8d263e-4570-494f-a891-fd01661a7d23_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "038c1bf1-26f8-45dc-8c40-bc19513af185", "image_1": "Perception/single/038c1bf1-26f8-45dc-8c40-bc19513af185_0.png", "image_2": null, "question": "Is haze visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6a6946c9-b5e5-4407-af00-6792b50a890b", "image_1": "Perception/single/6a6946c9-b5e5-4407-af00-6792b50a890b_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "980fd7c1-2a1c-410d-96b5-80264dc2c34a", "image_1": "Perception/single/980fd7c1-2a1c-410d-96b5-80264dc2c34a_0.png", "image_2": null, "question": "Is dead pixel present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "13a6b53b-1571-4748-ba11-281056f76e03", "image_1": "Perception/single/13a6b53b-1571-4748-ba11-281056f76e03_0.png", "image_2": null, "question": "Does haze compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "8a09346c-1fe1-4e9f-9760-8ec4c39f3d43", "image_1": "Perception/single/8a09346c-1fe1-4e9f-9760-8ec4c39f3d43_0.png", "image_2": null, "question": "Is haze a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "add72056-c034-469e-9df1-a1517ecccb7b", "image_1": "Perception/single/add72056-c034-469e-9df1-a1517ecccb7b_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "ef293a8f-8bb0-4195-b685-5d9ebed230a5", "image_1": "Perception/single/ef293a8f-8bb0-4195-b685-5d9ebed230a5_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "413fc893-a074-4c50-b86e-181abb36acb4", "image_1": "Perception/single/413fc893-a074-4c50-b86e-181abb36acb4_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "1061b9f9-396b-4fb7-a0df-d6c8846e95ea", "image_1": "Perception/single/1061b9f9-396b-4fb7-a0df-d6c8846e95ea_0.png", "image_2": null, "question": "Is impulse noise the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "a95fea8d-e845-454d-ad2a-05aab5230986", "image_1": "Perception/single/a95fea8d-e845-454d-ad2a-05aab5230986_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "7faab426-8065-4697-b0b3-74bda9850433", "image_1": "Perception/single/7faab426-8065-4697-b0b3-74bda9850433_0.png", "image_2": null, "question": "Is the image impacted by missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "e252c932-536b-41cf-bc04-2923f7e46b35", "image_1": "Perception/single/e252c932-536b-41cf-bc04-2923f7e46b35_0.png", "image_2": null, "question": "Does this image contain motion blur?\nA.Yes\nB.No", "answer": "B"}
{"id": "38896e14-91ae-4c2e-b149-962dc8ac9513", "image_1": "Perception/single/38896e14-91ae-4c2e-b149-962dc8ac9513_0.png", "image_2": null, "question": "Is gaussian noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "43d5349d-6812-41cb-82cf-d2246c7fd00d", "image_1": "Perception/single/43d5349d-6812-41cb-82cf-d2246c7fd00d_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "b3dfbc31-9f58-4222-85f6-e63755fcb33a", "image_1": "Perception/single/b3dfbc31-9f58-4222-85f6-e63755fcb33a_0.png", "image_2": null, "question": "Does this image contain dead pixel?\nA.Yes\nB.No", "answer": "B"}
{"id": "9a49b351-dd3c-4ec6-b955-c8aa33c09b10", "image_1": "Perception/single/9a49b351-dd3c-4ec6-b955-c8aa33c09b10_0.png", "image_2": null, "question": "Is image stretching a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ce944d28-2995-4fb0-9639-2af749e6363a", "image_1": "Perception/single/ce944d28-2995-4fb0-9639-2af749e6363a_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "7bd27a32-3b74-49b9-9a9b-7885f01e2ae0", "image_1": "Perception/single/7bd27a32-3b74-49b9-9a9b-7885f01e2ae0_0.png", "image_2": null, "question": "Does haze obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "b376b1bb-eb94-4c84-8bc0-fa474fb1259b", "image_1": "Perception/single/b376b1bb-eb94-4c84-8bc0-fa474fb1259b_0.png", "image_2": null, "question": "Does color distortion result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "799757d1-4a20-41b8-846b-84c4b680463d", "image_1": "Perception/single/799757d1-4a20-41b8-846b-84c4b680463d_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "449698ef-7bca-4d74-9c6d-a037348b04bb", "image_1": "Perception/single/449698ef-7bca-4d74-9c6d-a037348b04bb_0.png", "image_2": null, "question": "Is the image impacted by deadline noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "54b6f83a-d96a-450b-979d-e9a47d8d7b7a", "image_1": "Perception/single/54b6f83a-d96a-450b-979d-e9a47d8d7b7a_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "4f32fd10-4b66-4267-a7c2-ed5393c6410c", "image_1": "Perception/single/4f32fd10-4b66-4267-a7c2-ed5393c6410c_0.png", "image_2": null, "question": "Is impulse noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "91d2934a-c9a2-457e-826a-8b49e869b930", "image_1": "Perception/single/91d2934a-c9a2-457e-826a-8b49e869b930_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "bd9691c1-402c-47a7-9462-1ab779c3090a", "image_1": "Perception/single/bd9691c1-402c-47a7-9462-1ab779c3090a_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "96be3ee4-3284-4d35-a2bc-1c20028a24d3", "image_1": "Perception/single/96be3ee4-3284-4d35-a2bc-1c20028a24d3_0.png", "image_2": null, "question": "Can spatially correlated noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "bdee6136-6578-4650-bd3a-bb9fa169e233", "image_1": "Perception/single/bdee6136-6578-4650-bd3a-bb9fa169e233_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e02e1b24-918d-48cf-8464-c257132c4bd9", "image_1": "Perception/single/e02e1b24-918d-48cf-8464-c257132c4bd9_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a669f337-6fc7-4ed2-8583-28b6f474326c", "image_1": "Perception/single/a669f337-6fc7-4ed2-8583-28b6f474326c_0.png", "image_2": null, "question": "Is color distortion responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "dca8e64d-05fe-4ba9-9fc4-b33638fb60f0", "image_1": "Perception/single/dca8e64d-05fe-4ba9-9fc4-b33638fb60f0_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "c74d67e6-2ce0-4913-80f6-2f487082919e", "image_1": "Perception/single/c74d67e6-2ce0-4913-80f6-2f487082919e_0.png", "image_2": null, "question": "Is gaussian noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "72319f28-70e7-4c58-8784-007ccd87935d", "image_1": "Perception/single/72319f28-70e7-4c58-8784-007ccd87935d_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2e91e2c3-602b-4aa5-a7dc-5dc8d37f2934", "image_1": "Perception/single/2e91e2c3-602b-4aa5-a7dc-5dc8d37f2934_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "629af2e9-b698-41c4-835e-f1e7bbbfe0ef", "image_1": "Perception/single/629af2e9-b698-41c4-835e-f1e7bbbfe0ef_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "973133f8-cb55-4024-b5e0-7a57ea403cf7", "image_1": "Perception/single/973133f8-cb55-4024-b5e0-7a57ea403cf7_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "25e58f21-805b-4eb3-9657-737d9d213d28", "image_1": "Perception/single/25e58f21-805b-4eb3-9657-737d9d213d28_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "6c5942d8-e98f-430b-bd29-7a82a92626ff", "image_1": "Perception/single/6c5942d8-e98f-430b-bd29-7a82a92626ff_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "28e246dd-2b25-4e74-a805-cd33b289fd06", "image_1": "Perception/single/28e246dd-2b25-4e74-a805-cd33b289fd06_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "c7b82eca-f9be-4624-a0cd-c326ed920092", "image_1": "Perception/single/c7b82eca-f9be-4624-a0cd-c326ed920092_0.png", "image_2": null, "question": "Can color distortion be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d4d45e62-3a48-4dd6-9960-53d5be51c159", "image_1": "Perception/single/d4d45e62-3a48-4dd6-9960-53d5be51c159_0.png", "image_2": null, "question": "Can deadline noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "83b471bf-647a-41a1-a361-c860c7e2cc0f", "image_1": "Perception/single/83b471bf-647a-41a1-a361-c860c7e2cc0f_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a1496b04-ad8b-410f-b761-21b75e145f3e", "image_1": "Perception/single/a1496b04-ad8b-410f-b761-21b75e145f3e_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "ecf2c9ba-cf3e-41fd-95ac-b72a8149f979", "image_1": "Perception/single/ecf2c9ba-cf3e-41fd-95ac-b72a8149f979_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "eafc31f0-738f-485b-9210-ff39d37991a4", "image_1": "Perception/single/eafc31f0-738f-485b-9210-ff39d37991a4_0.png", "image_2": null, "question": "Does image stretching obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "1e9ea0f1-3bc5-4ce5-900e-bb2baa2e6518", "image_1": "Perception/single/1e9ea0f1-3bc5-4ce5-900e-bb2baa2e6518_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "5a2d7dda-6d14-47c3-91fd-6b0f70c7255d", "image_1": "Perception/single/5a2d7dda-6d14-47c3-91fd-6b0f70c7255d_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "2c8df9fb-344c-431f-9b5d-8f628f564fda", "image_1": "Perception/single/2c8df9fb-344c-431f-9b5d-8f628f564fda_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "eec83056-6fce-4f94-aa47-bdad67912b76", "image_1": "Perception/single/eec83056-6fce-4f94-aa47-bdad67912b76_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "28caa447-97fe-4ee3-a6f1-4cbdf150197a", "image_1": "Perception/single/28caa447-97fe-4ee3-a6f1-4cbdf150197a_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "be7a323f-f709-443c-afb1-6a6acee60419", "image_1": "Perception/single/be7a323f-f709-443c-afb1-6a6acee60419_0.png", "image_2": null, "question": "Is motion blur the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "a9f1f8c3-6c12-4938-8313-530cc006a93a", "image_1": "Perception/single/a9f1f8c3-6c12-4938-8313-530cc006a93a_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "d2640cf6-0c93-4c02-8d46-af25d317c144", "image_1": "Perception/single/d2640cf6-0c93-4c02-8d46-af25d317c144_0.png", "image_2": null, "question": "Is gaussian noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f9af1549-af71-4502-8932-82a3c51d8a9f", "image_1": "Perception/single/f9af1549-af71-4502-8932-82a3c51d8a9f_0.png", "image_2": null, "question": "Is missing tiles the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "cd4193b6-ae7b-4162-a3eb-d00676924d97", "image_1": "Perception/single/cd4193b6-ae7b-4162-a3eb-d00676924d97_0.png", "image_2": null, "question": "Is stripe noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "6f2e2867-16b0-494c-a6e8-d837dd2fb813", "image_1": "Perception/single/6f2e2867-16b0-494c-a6e8-d837dd2fb813_0.png", "image_2": null, "question": "Does cloud reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e0364d81-4487-4517-ba58-13011c850f03", "image_1": "Perception/single/e0364d81-4487-4517-ba58-13011c850f03_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "5c4ae37b-f6d4-445e-8117-b60a0b8e3ba0", "image_1": "Perception/single/5c4ae37b-f6d4-445e-8117-b60a0b8e3ba0_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "a18cd902-fc68-413c-be86-13f618d75e45", "image_1": "Perception/single/a18cd902-fc68-413c-be86-13f618d75e45_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f61efd88-053c-409d-b27b-fc5f98730e77", "image_1": "Perception/single/f61efd88-053c-409d-b27b-fc5f98730e77_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "fd7d38f7-4a16-4388-8ef9-52f86a34e641", "image_1": "Perception/single/fd7d38f7-4a16-4388-8ef9-52f86a34e641_0.png", "image_2": null, "question": "Does haze result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "54e1edca-e0ec-4e03-8ebd-3a023cbb68e0", "image_1": "Perception/single/54e1edca-e0ec-4e03-8ebd-3a023cbb68e0_0.png", "image_2": null, "question": "Can cloud be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "196535e2-7a08-4946-aad4-1b7ef2f723ef", "image_1": "Perception/single/196535e2-7a08-4946-aad4-1b7ef2f723ef_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "a1ed9f6c-827a-40a4-8036-b6418be1854e", "image_1": "Perception/single/a1ed9f6c-827a-40a4-8036-b6418be1854e_0.png", "image_2": null, "question": "Is image stretching apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "3e74c250-d085-4067-997f-b7fbe0fb36d6", "image_1": "Perception/single/3e74c250-d085-4067-997f-b7fbe0fb36d6_0.png", "image_2": null, "question": "Is there gaussian noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4463feaa-ee64-4131-bdb0-42fe0a93b099", "image_1": "Perception/single/4463feaa-ee64-4131-bdb0-42fe0a93b099_0.png", "image_2": null, "question": "Does the image exhibit spatially correlated noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "7c532c1b-7c15-4fcb-b69b-801ed3a5e731", "image_1": "Perception/single/7c532c1b-7c15-4fcb-b69b-801ed3a5e731_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "08672305-608b-4c84-856a-2713fa1de692", "image_1": "Perception/single/08672305-608b-4c84-856a-2713fa1de692_0.png", "image_2": null, "question": "Is haze a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "3d4cb296-bfb4-44b0-81c8-42406a788da8", "image_1": "Perception/single/3d4cb296-bfb4-44b0-81c8-42406a788da8_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "adc3705a-484d-478c-b327-4929b53d4cca", "image_1": "Perception/single/adc3705a-484d-478c-b327-4929b53d4cca_0.png", "image_2": null, "question": "Is cloud a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ce97079e-1c6c-4ebc-b8c4-9639351079e1", "image_1": "Perception/single/ce97079e-1c6c-4ebc-b8c4-9639351079e1_0.png", "image_2": null, "question": "Does color distortion compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "806a8da9-ac15-4c38-bb12-eef5d09232d7", "image_1": "Perception/single/806a8da9-ac15-4c38-bb12-eef5d09232d7_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "87626ab2-0115-4234-92b8-44ad34e3735a", "image_1": "Perception/single/87626ab2-0115-4234-92b8-44ad34e3735a_0.png", "image_2": null, "question": "Is gaussian blur the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "8d0caf2e-c326-4647-aa14-4d643d622924", "image_1": "Perception/single/8d0caf2e-c326-4647-aa14-4d643d622924_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "3af5fc0e-fb1e-41d8-98cc-7587ff9eb53a", "image_1": "Perception/single/3af5fc0e-fb1e-41d8-98cc-7587ff9eb53a_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "85d9ab63-fabe-4d20-8dfd-65fa7b3feed8", "image_1": "Perception/single/85d9ab63-fabe-4d20-8dfd-65fa7b3feed8_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "22c295ed-22a7-4c1c-be00-a4d2b0823e1f", "image_1": "Perception/single/22c295ed-22a7-4c1c-be00-a4d2b0823e1f_0.png", "image_2": null, "question": "Is haze visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "744fbfda-0544-4230-b66f-adcdd5153745", "image_1": "Perception/single/744fbfda-0544-4230-b66f-adcdd5153745_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "8b0f92f6-c584-423d-accc-741dc53d45a3", "image_1": "Perception/single/8b0f92f6-c584-423d-accc-741dc53d45a3_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "e1831b4e-dcdb-4fe8-9c26-720dfce89e7e", "image_1": "Perception/single/e1831b4e-dcdb-4fe8-9c26-720dfce89e7e_0.png", "image_2": null, "question": "Does deadline noise compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "4e469c41-e015-4c36-af2c-8d65017c693c", "image_1": "Perception/single/4e469c41-e015-4c36-af2c-8d65017c693c_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "f16ad2b5-dad0-4ade-8be5-feb4e7c58745", "image_1": "Perception/single/f16ad2b5-dad0-4ade-8be5-feb4e7c58745_0.png", "image_2": null, "question": "Does dead pixel compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "4e4f98ca-88b4-48ba-8390-4b3bff66bcad", "image_1": "Perception/single/4e4f98ca-88b4-48ba-8390-4b3bff66bcad_0.png", "image_2": null, "question": "Is dead pixel a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4c38df86-7fb6-4f8e-a647-0828b828d3c4", "image_1": "Perception/single/4c38df86-7fb6-4f8e-a647-0828b828d3c4_0.png", "image_2": null, "question": "Can impulse noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "487864e6-73e5-40b4-a170-d64e0a05677a", "image_1": "Perception/single/487864e6-73e5-40b4-a170-d64e0a05677a_0.png", "image_2": null, "question": "Is deadline noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a83b31fa-e9b7-467d-b80d-a0c26b6d5b23", "image_1": "Perception/single/a83b31fa-e9b7-467d-b80d-a0c26b6d5b23_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "B"}
{"id": "ae32e641-f46c-42c7-83fb-fbc695fe70e6", "image_1": "Perception/single/ae32e641-f46c-42c7-83fb-fbc695fe70e6_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "3b06f27a-5ae5-40f1-9de8-fd79c1b78bc3", "image_1": "Perception/single/3b06f27a-5ae5-40f1-9de8-fd79c1b78bc3_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "e0dd6b9a-7b6d-4a34-b207-14adfe795087", "image_1": "Perception/single/e0dd6b9a-7b6d-4a34-b207-14adfe795087_0.png", "image_2": null, "question": "Can spatially correlated noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "bb674bdb-7c9c-4e8e-8959-553c22dd1742", "image_1": "Perception/single/bb674bdb-7c9c-4e8e-8959-553c22dd1742_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "486db4b3-3111-4445-8001-d71400a4ad19", "image_1": "Perception/single/486db4b3-3111-4445-8001-d71400a4ad19_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "4e3334c1-4aa7-45ad-9da0-899192ed5bbd", "image_1": "Perception/single/4e3334c1-4aa7-45ad-9da0-899192ed5bbd_0.png", "image_2": null, "question": "Does missing tiles affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "2fd467f2-86cc-4ff7-b277-80b2900fa29f", "image_1": "Perception/single/2fd467f2-86cc-4ff7-b277-80b2900fa29f_0.png", "image_2": null, "question": "Is gaussian noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "b1b26aab-2294-4b91-9196-273ef7ea87ca", "image_1": "Perception/single/b1b26aab-2294-4b91-9196-273ef7ea87ca_0.png", "image_2": null, "question": "Is gaussian noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "bf2b31fa-4d89-4aa0-9312-9de033b00611", "image_1": "Perception/single/bf2b31fa-4d89-4aa0-9312-9de033b00611_0.png", "image_2": null, "question": "Does the image exhibit impulse noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "e59a4f60-61b6-4f4f-9b0c-c1fde3d04326", "image_1": "Perception/single/e59a4f60-61b6-4f4f-9b0c-c1fde3d04326_0.png", "image_2": null, "question": "Is color distortion responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "967cf619-0d5d-45a4-a887-ee6675b38cd2", "image_1": "Perception/single/967cf619-0d5d-45a4-a887-ee6675b38cd2_0.png", "image_2": null, "question": "Does deadline noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "b747ea23-3491-4da8-b843-6245ef24ff60", "image_1": "Perception/single/b747ea23-3491-4da8-b843-6245ef24ff60_0.png", "image_2": null, "question": "Is image stretching a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2ba0246a-ebd0-42c7-b668-086981baadfc", "image_1": "Perception/single/2ba0246a-ebd0-42c7-b668-086981baadfc_0.png", "image_2": null, "question": "Is haze a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d396c89e-eeec-42e4-8be8-9ffd638450a3", "image_1": "Perception/single/d396c89e-eeec-42e4-8be8-9ffd638450a3_0.png", "image_2": null, "question": "Is image stretching a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2669a678-3eec-4b8e-a5e7-2deb6d9d8c18", "image_1": "Perception/single/2669a678-3eec-4b8e-a5e7-2deb6d9d8c18_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "b2e70132-dbf4-4a52-a0c0-c403b14fa129", "image_1": "Perception/single/b2e70132-dbf4-4a52-a0c0-c403b14fa129_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0a93cd4d-3765-4b62-a452-40c9de9af4ac", "image_1": "Perception/single/0a93cd4d-3765-4b62-a452-40c9de9af4ac_0.png", "image_2": null, "question": "Does color distortion compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "62df235e-360e-438e-8bd3-e07b0882db83", "image_1": "Perception/single/62df235e-360e-438e-8bd3-e07b0882db83_0.png", "image_2": null, "question": "Is color distortion the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "7acc18a3-fdd9-4ddb-93d0-f8821d77591a", "image_1": "Perception/single/7acc18a3-fdd9-4ddb-93d0-f8821d77591a_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "e59cebda-9057-45d1-8f31-f56938caa105", "image_1": "Perception/single/e59cebda-9057-45d1-8f31-f56938caa105_0.png", "image_2": null, "question": "Is gaussian noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "0f88276b-9afa-4b9f-af61-d1cb1d64a369", "image_1": "Perception/single/0f88276b-9afa-4b9f-af61-d1cb1d64a369_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "b0c634cf-4c7c-425b-9810-8eea041969cd", "image_1": "Perception/single/b0c634cf-4c7c-425b-9810-8eea041969cd_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "38c73644-6295-4244-b893-bbbf1a153c05", "image_1": "Perception/single/38c73644-6295-4244-b893-bbbf1a153c05_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "57156ac8-9996-4391-826c-f5873bd22448", "image_1": "Perception/single/57156ac8-9996-4391-826c-f5873bd22448_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "74fc2c18-9192-49a1-8e84-7406dee41e07", "image_1": "Perception/single/74fc2c18-9192-49a1-8e84-7406dee41e07_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "288c68c0-c222-40ea-b2a7-f6b621d283ba", "image_1": "Perception/single/288c68c0-c222-40ea-b2a7-f6b621d283ba_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "b31eab5c-769a-43ac-9756-41473e7325d2", "image_1": "Perception/single/b31eab5c-769a-43ac-9756-41473e7325d2_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "7347bb29-31c5-45ce-b0c1-a306d806312f", "image_1": "Perception/single/7347bb29-31c5-45ce-b0c1-a306d806312f_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "a2d089cf-7aec-4f04-a2b2-34e82ab86f39", "image_1": "Perception/single/a2d089cf-7aec-4f04-a2b2-34e82ab86f39_0.png", "image_2": null, "question": "Does this image contain motion blur?\nA.Yes\nB.No", "answer": "B"}
{"id": "4bc247ff-cd8e-4ebe-8f9c-72c48a6d6560", "image_1": "Perception/single/4bc247ff-cd8e-4ebe-8f9c-72c48a6d6560_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "007a26dc-ecf0-47bf-b365-65df237688ad", "image_1": "Perception/single/007a26dc-ecf0-47bf-b365-65df237688ad_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8ac2cdcc-8780-4c1c-9d67-58d35ee711e4", "image_1": "Perception/single/8ac2cdcc-8780-4c1c-9d67-58d35ee711e4_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "29b2a1c9-7ed5-4997-a74f-79d76c80fa2a", "image_1": "Perception/single/29b2a1c9-7ed5-4997-a74f-79d76c80fa2a_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8132ed7d-d6ac-47d6-a211-a9a1f7410931", "image_1": "Perception/single/8132ed7d-d6ac-47d6-a211-a9a1f7410931_0.png", "image_2": null, "question": "Is gaussian blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "acd1318d-0f6c-4046-83b0-874f109bd964", "image_1": "Perception/single/acd1318d-0f6c-4046-83b0-874f109bd964_0.png", "image_2": null, "question": "Is stripe noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d5624ac4-6657-47e5-9a97-7f46f2d83321", "image_1": "Perception/single/d5624ac4-6657-47e5-9a97-7f46f2d83321_0.png", "image_2": null, "question": "Does haze obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "831d7d82-9eb2-423a-af6d-1d9f5076b685", "image_1": "Perception/single/831d7d82-9eb2-423a-af6d-1d9f5076b685_0.png", "image_2": null, "question": "Does color distortion result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "35427a25-f1eb-4f00-96f9-b7a9a0df6f71", "image_1": "Perception/single/35427a25-f1eb-4f00-96f9-b7a9a0df6f71_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "5cc73900-f887-45bf-86f7-09e1126d329b", "image_1": "Perception/single/5cc73900-f887-45bf-86f7-09e1126d329b_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "7fc86149-af4a-4b0f-8788-a6d7f548165d", "image_1": "Perception/single/7fc86149-af4a-4b0f-8788-a6d7f548165d_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "3574622e-48aa-4779-b63f-ef9c2c5c7575", "image_1": "Perception/single/3574622e-48aa-4779-b63f-ef9c2c5c7575_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "d394755f-26b9-431a-93cc-6f1bca36cd3c", "image_1": "Perception/single/d394755f-26b9-431a-93cc-6f1bca36cd3c_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "d860629c-67ac-4877-8ace-7d314e44c00f", "image_1": "Perception/single/d860629c-67ac-4877-8ace-7d314e44c00f_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "61e4803b-a6e9-495d-b501-0b6887649d25", "image_1": "Perception/single/61e4803b-a6e9-495d-b501-0b6887649d25_0.png", "image_2": null, "question": "Is impulse noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f9b0bf4f-56ce-4ec4-b088-6c0bae30de6e", "image_1": "Perception/single/f9b0bf4f-56ce-4ec4-b088-6c0bae30de6e_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "1e45d33e-11ab-4569-9abb-efb662ef66ba", "image_1": "Perception/single/1e45d33e-11ab-4569-9abb-efb662ef66ba_0.png", "image_2": null, "question": "Does spatially correlated noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "6199c5f2-198b-4154-969a-6ac6cb92f653", "image_1": "Perception/single/6199c5f2-198b-4154-969a-6ac6cb92f653_0.png", "image_2": null, "question": "Is cloud the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "a87cf7f2-7ffe-4b09-9b43-84066641675d", "image_1": "Perception/single/a87cf7f2-7ffe-4b09-9b43-84066641675d_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "199186ef-cd62-40b1-8ff0-147df7b5c5bf", "image_1": "Perception/single/199186ef-cd62-40b1-8ff0-147df7b5c5bf_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "9a46f316-6085-4f7f-809b-6d13809734f0", "image_1": "Perception/single/9a46f316-6085-4f7f-809b-6d13809734f0_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "bdf279da-fd6a-489e-9d7f-b6a9ee434700", "image_1": "Perception/single/bdf279da-fd6a-489e-9d7f-b6a9ee434700_0.png", "image_2": null, "question": "Is color distortion responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "44c5dd1f-d4f0-4edb-aaae-fd28cf467256", "image_1": "Perception/single/44c5dd1f-d4f0-4edb-aaae-fd28cf467256_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "eb4d9bfb-f037-4202-ac2f-0964be523f0e", "image_1": "Perception/single/eb4d9bfb-f037-4202-ac2f-0964be523f0e_0.png", "image_2": null, "question": "Does cloud affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "976ca194-f2ae-47fb-9866-9d0fe7cfc592", "image_1": "Perception/single/976ca194-f2ae-47fb-9866-9d0fe7cfc592_0.png", "image_2": null, "question": "Is image stretching present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "d67c3bef-cf03-4b95-b201-d228f2220bf6", "image_1": "Perception/single/d67c3bef-cf03-4b95-b201-d228f2220bf6_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "7884d779-f891-4218-b78b-f9476b05668f", "image_1": "Perception/single/7884d779-f891-4218-b78b-f9476b05668f_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8b92d4a7-f995-4f67-9f37-631bcbf392ab", "image_1": "Perception/single/8b92d4a7-f995-4f67-9f37-631bcbf392ab_0.png", "image_2": null, "question": "Is missing tiles a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "769ab092-2c39-4a00-a5da-2166cf78a9d3", "image_1": "Perception/single/769ab092-2c39-4a00-a5da-2166cf78a9d3_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "e629f038-2e4b-4784-aa17-027562c5868c", "image_1": "Perception/single/e629f038-2e4b-4784-aa17-027562c5868c_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "a28e3c1d-16e2-40c0-83d6-3c41c42efc3b", "image_1": "Perception/single/a28e3c1d-16e2-40c0-83d6-3c41c42efc3b_0.png", "image_2": null, "question": "Is image compression present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "32ee2d87-8b3a-4c84-815e-9121b4a5532d", "image_1": "Perception/single/32ee2d87-8b3a-4c84-815e-9121b4a5532d_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "ddfa1ef6-acd6-4f20-9eb4-90310a8133bb", "image_1": "Perception/single/ddfa1ef6-acd6-4f20-9eb4-90310a8133bb_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "dae6860f-6387-4f34-99c8-23660c6df931", "image_1": "Perception/single/dae6860f-6387-4f34-99c8-23660c6df931_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "b84b60bc-4620-4883-9ab0-f4ee6b609011", "image_1": "Perception/single/b84b60bc-4620-4883-9ab0-f4ee6b609011_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "0ee76a65-dda6-446c-9ff4-3686d3e76f3b", "image_1": "Perception/single/0ee76a65-dda6-446c-9ff4-3686d3e76f3b_0.png", "image_2": null, "question": "Can color distortion be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c448da44-8b68-4db8-9528-7c20df38b1ef", "image_1": "Perception/single/c448da44-8b68-4db8-9528-7c20df38b1ef_0.png", "image_2": null, "question": "Can deadline noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d7344929-d5b1-4cec-b354-0be471a8c619", "image_1": "Perception/single/d7344929-d5b1-4cec-b354-0be471a8c619_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c5e52bea-8753-4e6d-afbb-87c7103df841", "image_1": "Perception/single/c5e52bea-8753-4e6d-afbb-87c7103df841_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "b301bfd3-181d-432e-9256-313e258b58cf", "image_1": "Perception/single/b301bfd3-181d-432e-9256-313e258b58cf_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "a2a7a168-24ff-4ce7-90dc-9ca8e896e985", "image_1": "Perception/single/a2a7a168-24ff-4ce7-90dc-9ca8e896e985_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d6701afb-78df-4094-9fde-46b1ddbb7c30", "image_1": "Perception/single/d6701afb-78df-4094-9fde-46b1ddbb7c30_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "2c0f1ba8-0a4d-40f7-815c-fe083e30c683", "image_1": "Perception/single/2c0f1ba8-0a4d-40f7-815c-fe083e30c683_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2d44e456-a96a-4450-b377-37243315f0cc", "image_1": "Perception/single/2d44e456-a96a-4450-b377-37243315f0cc_0.png", "image_2": null, "question": "Does color distortion interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "1224ef1d-3cad-4edc-803c-6bb64e71f228", "image_1": "Perception/single/1224ef1d-3cad-4edc-803c-6bb64e71f228_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "b966d7e9-f814-4e30-a3e1-0e1125bf04e1", "image_1": "Perception/single/b966d7e9-f814-4e30-a3e1-0e1125bf04e1_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "ebb248b6-f3d9-464e-8330-cf01bfd65dfb", "image_1": "Perception/single/ebb248b6-f3d9-464e-8330-cf01bfd65dfb_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "428384b8-b654-468f-9b1e-1eb42ab1d458", "image_1": "Perception/single/428384b8-b654-468f-9b1e-1eb42ab1d458_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "3665e864-c9cc-437e-beec-cf02327ac5ad", "image_1": "Perception/single/3665e864-c9cc-437e-beec-cf02327ac5ad_0.png", "image_2": null, "question": "Is motion blur the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "80d1bfa1-783d-4050-8d7a-ef71ef7a4e80", "image_1": "Perception/single/80d1bfa1-783d-4050-8d7a-ef71ef7a4e80_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "0e6b4faf-6c69-469d-afbb-ab219832bc03", "image_1": "Perception/single/0e6b4faf-6c69-469d-afbb-ab219832bc03_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "9c4d5bc7-7793-4188-ad52-17aa48740b87", "image_1": "Perception/single/9c4d5bc7-7793-4188-ad52-17aa48740b87_0.png", "image_2": null, "question": "Is gaussian noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4cf0e3ed-a66c-461c-968b-365636dbe909", "image_1": "Perception/single/4cf0e3ed-a66c-461c-968b-365636dbe909_0.png", "image_2": null, "question": "Is missing tiles the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "36814927-58ce-47d8-bedd-fa4837f87020", "image_1": "Perception/single/36814927-58ce-47d8-bedd-fa4837f87020_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "1a002b63-efbc-4acb-ad80-756286d4073d", "image_1": "Perception/single/1a002b63-efbc-4acb-ad80-756286d4073d_0.png", "image_2": null, "question": "Is image compression apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "48879a73-0f3f-4d37-bc27-8e07cc09bfe8", "image_1": "Perception/single/48879a73-0f3f-4d37-bc27-8e07cc09bfe8_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "d4ad09cb-df37-4985-9511-2a289f64f056", "image_1": "Perception/single/d4ad09cb-df37-4985-9511-2a289f64f056_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ead345b6-7b55-4915-98f1-ab65eee9f162", "image_1": "Perception/single/ead345b6-7b55-4915-98f1-ab65eee9f162_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "8c2a8ee1-204b-48fe-acb6-8c9b4d84dca9", "image_1": "Perception/single/8c2a8ee1-204b-48fe-acb6-8c9b4d84dca9_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "ef5eb900-485a-4f9b-9eca-fff593088e09", "image_1": "Perception/single/ef5eb900-485a-4f9b-9eca-fff593088e09_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "c27f431c-ee9c-4cf0-849e-0db71c8ff8a7", "image_1": "Perception/single/c27f431c-ee9c-4cf0-849e-0db71c8ff8a7_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d12d208f-7cd5-48ec-b1d8-f4ad6858b94b", "image_1": "Perception/single/d12d208f-7cd5-48ec-b1d8-f4ad6858b94b_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "9643f56d-0aaf-4c5f-9d5d-64959354f54b", "image_1": "Perception/single/9643f56d-0aaf-4c5f-9d5d-64959354f54b_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "9c3d6759-d667-4180-a1d2-a36c7f29f219", "image_1": "Perception/single/9c3d6759-d667-4180-a1d2-a36c7f29f219_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "94b5d9c3-15e2-4ac7-aff8-5fd074a8fe2e", "image_1": "Perception/single/94b5d9c3-15e2-4ac7-aff8-5fd074a8fe2e_0.png", "image_2": null, "question": "Does missing tiles interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "c4b35a98-4864-4cb6-991a-b6feed71cfc5", "image_1": "Perception/single/c4b35a98-4864-4cb6-991a-b6feed71cfc5_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "ab80d56e-8560-4ef8-8065-961a64d6d105", "image_1": "Perception/single/ab80d56e-8560-4ef8-8065-961a64d6d105_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "5044a79e-b437-42f6-940a-86bac8ae8156", "image_1": "Perception/single/5044a79e-b437-42f6-940a-86bac8ae8156_0.png", "image_2": null, "question": "Is image stretching apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "fb409521-df74-46bc-8966-8a4134a8f638", "image_1": "Perception/single/fb409521-df74-46bc-8966-8a4134a8f638_0.png", "image_2": null, "question": "Is there gaussian noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f8c9b1df-9eea-4e7d-8669-b21fd14c37a3", "image_1": "Perception/single/f8c9b1df-9eea-4e7d-8669-b21fd14c37a3_0.png", "image_2": null, "question": "Does the image exhibit spatially correlated noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "67f0c9d7-bf0d-4d88-bf9e-e1393c7657de", "image_1": "Perception/single/67f0c9d7-bf0d-4d88-bf9e-e1393c7657de_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a226416d-d9fb-4fcf-87e0-6d0c0a8f0e2d", "image_1": "Perception/single/a226416d-d9fb-4fcf-87e0-6d0c0a8f0e2d_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "e58121fc-f881-4ca3-ba91-c7575b3425d9", "image_1": "Perception/single/e58121fc-f881-4ca3-ba91-c7575b3425d9_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "e42786af-2622-4ede-80be-451cc3793f40", "image_1": "Perception/single/e42786af-2622-4ede-80be-451cc3793f40_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "2f174dee-c40d-4b8b-9a3f-b28c5fef4271", "image_1": "Perception/single/2f174dee-c40d-4b8b-9a3f-b28c5fef4271_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "e3edf945-38db-457e-ab8d-a7239f907ee1", "image_1": "Perception/single/e3edf945-38db-457e-ab8d-a7239f907ee1_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "bddab2a8-470b-41ba-9a57-67b87277803e", "image_1": "Perception/single/bddab2a8-470b-41ba-9a57-67b87277803e_0.png", "image_2": null, "question": "Does color distortion compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "0d16c2d3-c62d-4cbb-b5de-e8a6e788c13c", "image_1": "Perception/single/0d16c2d3-c62d-4cbb-b5de-e8a6e788c13c_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4d2db29a-1001-4b6f-9b59-3be8d105630d", "image_1": "Perception/single/4d2db29a-1001-4b6f-9b59-3be8d105630d_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "2cbc1832-6568-4af5-9c6b-a74d0198f774", "image_1": "Perception/single/2cbc1832-6568-4af5-9c6b-a74d0198f774_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "682b1eb2-cf7e-4bd8-b042-a7caf0e3c4e3", "image_1": "Perception/single/682b1eb2-cf7e-4bd8-b042-a7caf0e3c4e3_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "f595308b-0645-4f82-af59-631258c31a0c", "image_1": "Perception/single/f595308b-0645-4f82-af59-631258c31a0c_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "eae3233a-f8aa-4287-b81f-60a98b10c155", "image_1": "Perception/single/eae3233a-f8aa-4287-b81f-60a98b10c155_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "84793bb9-ddb7-44b8-8f8c-368ba39b648a", "image_1": "Perception/single/84793bb9-ddb7-44b8-8f8c-368ba39b648a_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a2ce3ffe-74b5-4d19-a7f7-6396c7dc9f35", "image_1": "Perception/single/a2ce3ffe-74b5-4d19-a7f7-6396c7dc9f35_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "df573e5f-641b-4705-8183-f16bb1da8ca5", "image_1": "Perception/single/df573e5f-641b-4705-8183-f16bb1da8ca5_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "121927bf-3d0d-4af1-b51f-119610f2f388", "image_1": "Perception/single/121927bf-3d0d-4af1-b51f-119610f2f388_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "35a06297-d645-4a39-acdc-6c2f6024f440", "image_1": "Perception/single/35a06297-d645-4a39-acdc-6c2f6024f440_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "84eb90ec-d536-4e30-ab2b-037504157e39", "image_1": "Perception/single/84eb90ec-d536-4e30-ab2b-037504157e39_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "6901b490-97aa-4bc7-8ec9-4e4cfafe1eb1", "image_1": "Perception/single/6901b490-97aa-4bc7-8ec9-4e4cfafe1eb1_0.png", "image_2": null, "question": "Is dead pixel present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "44183959-14fc-40b6-80f9-980c4ceb857a", "image_1": "Perception/single/44183959-14fc-40b6-80f9-980c4ceb857a_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "aba2e671-d48b-4310-87d0-aa3029572f6b", "image_1": "Perception/single/aba2e671-d48b-4310-87d0-aa3029572f6b_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "c0125414-76e0-4c5e-858c-ba580a201a52", "image_1": "Perception/single/c0125414-76e0-4c5e-858c-ba580a201a52_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "c0a7ba7a-2924-416c-a8bc-a60ed2a0c485", "image_1": "Perception/single/c0a7ba7a-2924-416c-a8bc-a60ed2a0c485_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "750e821d-bf23-4d50-9dd0-f0d8f9d611a0", "image_1": "Perception/single/750e821d-bf23-4d50-9dd0-f0d8f9d611a0_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "3a338b5b-fd9a-4eb4-99e9-d86c325fb365", "image_1": "Perception/single/3a338b5b-fd9a-4eb4-99e9-d86c325fb365_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "9412dcd1-28de-49c1-a165-35ef10319c51", "image_1": "Perception/single/9412dcd1-28de-49c1-a165-35ef10319c51_0.png", "image_2": null, "question": "Is impulse noise the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "45cc5df0-ee75-4d97-9fe8-8d0cba9db733", "image_1": "Perception/single/45cc5df0-ee75-4d97-9fe8-8d0cba9db733_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "e6d14345-f852-4066-b2a1-e4269749891e", "image_1": "Perception/single/e6d14345-f852-4066-b2a1-e4269749891e_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "d3094fc9-8a37-41c3-b5bb-3bc2cb3a7d99", "image_1": "Perception/single/d3094fc9-8a37-41c3-b5bb-3bc2cb3a7d99_0.png", "image_2": null, "question": "Is there haze present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "60a0b6e3-4efc-4dec-9472-48c93cbfb75e", "image_1": "Perception/single/60a0b6e3-4efc-4dec-9472-48c93cbfb75e_0.png", "image_2": null, "question": "Does gaussian blur affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "d2343cec-2df1-44e0-81e6-1fb65f0820bc", "image_1": "Perception/single/d2343cec-2df1-44e0-81e6-1fb65f0820bc_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "88006d54-38df-4904-bb2f-9efd4c726a9b", "image_1": "Perception/single/88006d54-38df-4904-bb2f-9efd4c726a9b_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "c3868bc5-78c9-4b4d-85b7-bc3668145fe7", "image_1": "Perception/single/c3868bc5-78c9-4b4d-85b7-bc3668145fe7_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "2bfe836c-7114-46d3-bc7d-b9f7fc82726b", "image_1": "Perception/single/2bfe836c-7114-46d3-bc7d-b9f7fc82726b_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "ff7e20d7-100f-4b88-b263-827c66192dce", "image_1": "Perception/single/ff7e20d7-100f-4b88-b263-827c66192dce_0.png", "image_2": null, "question": "Is image stretching a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c5af12f7-6236-47f1-a706-1ff7f4b9e0c6", "image_1": "Perception/single/c5af12f7-6236-47f1-a706-1ff7f4b9e0c6_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d953eb15-7699-49ac-9a64-45f64ccd8776", "image_1": "Perception/single/d953eb15-7699-49ac-9a64-45f64ccd8776_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "c09b8730-29f3-4fc6-87ea-eaa17b72b196", "image_1": "Perception/single/c09b8730-29f3-4fc6-87ea-eaa17b72b196_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "f84b48d6-ba95-42bb-9eae-8ef44d99609f", "image_1": "Perception/single/f84b48d6-ba95-42bb-9eae-8ef44d99609f_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ba683b3a-cd45-42e2-9b61-b1e1925d4621", "image_1": "Perception/single/ba683b3a-cd45-42e2-9b61-b1e1925d4621_0.png", "image_2": null, "question": "Does missing tiles lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "76a107b7-35f2-4308-afbb-9914d330b089", "image_1": "Perception/single/76a107b7-35f2-4308-afbb-9914d330b089_0.png", "image_2": null, "question": "Is gaussian blur visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "94491be8-9870-4d42-b5fa-e891da21af07", "image_1": "Perception/single/94491be8-9870-4d42-b5fa-e891da21af07_0.png", "image_2": null, "question": "Is haze the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "e4492a51-0acf-4ff0-be94-5aeac8ff1049", "image_1": "Perception/single/e4492a51-0acf-4ff0-be94-5aeac8ff1049_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "e753c2f1-db05-417d-a3a3-30c9d3d99b75", "image_1": "Perception/single/e753c2f1-db05-417d-a3a3-30c9d3d99b75_0.png", "image_2": null, "question": "Is impulse noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4d17dea9-bdd1-48e7-8e74-a94bb1576ef4", "image_1": "Perception/single/4d17dea9-bdd1-48e7-8e74-a94bb1576ef4_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "90f774d2-f4e8-4038-a8a5-eb531dda8a88", "image_1": "Perception/single/90f774d2-f4e8-4038-a8a5-eb531dda8a88_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "35e77667-2464-4835-91dd-fd3a35e3c064", "image_1": "Perception/single/35e77667-2464-4835-91dd-fd3a35e3c064_0.png", "image_2": null, "question": "Can spatially correlated noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "54138035-d0a2-4b17-b580-2805343f6151", "image_1": "Perception/single/54138035-d0a2-4b17-b580-2805343f6151_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2c547af9-63aa-46b9-ab5f-1cd253caec5f", "image_1": "Perception/single/2c547af9-63aa-46b9-ab5f-1cd253caec5f_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0c87f1a9-6c74-4ceb-a8e9-daebe5ea2dc9", "image_1": "Perception/single/0c87f1a9-6c74-4ceb-a8e9-daebe5ea2dc9_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "05c11313-62ec-4556-a0c3-3246ba998d35", "image_1": "Perception/single/05c11313-62ec-4556-a0c3-3246ba998d35_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "3fa4e0ee-3895-4117-beb9-c56cf0f6abaf", "image_1": "Perception/single/3fa4e0ee-3895-4117-beb9-c56cf0f6abaf_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "cbee4953-9e6b-41ac-85c8-bb569549c197", "image_1": "Perception/single/cbee4953-9e6b-41ac-85c8-bb569549c197_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "2aa24ae2-62cd-4180-a940-f9822831ed6e", "image_1": "Perception/single/2aa24ae2-62cd-4180-a940-f9822831ed6e_0.png", "image_2": null, "question": "Is gaussian noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "227db43a-04fa-442b-aaf0-496eda974982", "image_1": "Perception/single/227db43a-04fa-442b-aaf0-496eda974982_0.png", "image_2": null, "question": "Is image compression present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "861206b7-fd58-4031-8e14-d88e6b7bc800", "image_1": "Perception/single/861206b7-fd58-4031-8e14-d88e6b7bc800_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "23e4fd0e-ed34-44e5-8381-bcf6a7e5a22e", "image_1": "Perception/single/23e4fd0e-ed34-44e5-8381-bcf6a7e5a22e_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "9f52d7f5-a65c-4792-a2e7-78fe7528057b", "image_1": "Perception/single/9f52d7f5-a65c-4792-a2e7-78fe7528057b_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "33a1e10d-cc19-4c70-8640-3eee70234717", "image_1": "Perception/single/33a1e10d-cc19-4c70-8640-3eee70234717_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c165e55d-1328-49d5-8370-2413c5479c43", "image_1": "Perception/single/c165e55d-1328-49d5-8370-2413c5479c43_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "a9187eea-6d00-4d71-8207-ac6db1aa1212", "image_1": "Perception/single/a9187eea-6d00-4d71-8207-ac6db1aa1212_0.png", "image_2": null, "question": "Is image compression present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "704f4d98-aa0a-49cb-b5cb-08f3e79175e6", "image_1": "Perception/single/704f4d98-aa0a-49cb-b5cb-08f3e79175e6_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "1fdeb74e-a628-47ac-a7dd-a7afdd7102b2", "image_1": "Perception/single/1fdeb74e-a628-47ac-a7dd-a7afdd7102b2_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "db906ece-c807-4656-9633-9edbed685a21", "image_1": "Perception/single/db906ece-c807-4656-9633-9edbed685a21_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "8b018ebe-eaa1-4f6f-8961-0f1c1612c869", "image_1": "Perception/single/8b018ebe-eaa1-4f6f-8961-0f1c1612c869_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c473e9c7-3e77-49ee-88dc-bd8681557d20", "image_1": "Perception/single/c473e9c7-3e77-49ee-88dc-bd8681557d20_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f06e1635-caf6-4370-8875-c1034e7795b5", "image_1": "Perception/single/f06e1635-caf6-4370-8875-c1034e7795b5_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c181c4c6-8b3d-4f18-b07d-bf37b6d399cc", "image_1": "Perception/single/c181c4c6-8b3d-4f18-b07d-bf37b6d399cc_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ec5db546-4c3f-47af-af8e-582eafcc8e5c", "image_1": "Perception/single/ec5db546-4c3f-47af-af8e-582eafcc8e5c_0.png", "image_2": null, "question": "Does stripe noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "db2e537e-fb7d-4363-af10-7d6608fe78c0", "image_1": "Perception/single/db2e537e-fb7d-4363-af10-7d6608fe78c0_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "5bcf9d33-d23a-488c-bc49-7c40a9021a16", "image_1": "Perception/single/5bcf9d33-d23a-488c-bc49-7c40a9021a16_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "f2f7ee60-4672-44ef-8cbe-d443b0967593", "image_1": "Perception/single/f2f7ee60-4672-44ef-8cbe-d443b0967593_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "f332b031-dce2-4649-b5a3-2d175911d2a7", "image_1": "Perception/single/f332b031-dce2-4649-b5a3-2d175911d2a7_0.png", "image_2": null, "question": "Does image stretching obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "7ff24133-9b25-41f0-93fa-c00bbec73cc8", "image_1": "Perception/single/7ff24133-9b25-41f0-93fa-c00bbec73cc8_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "10eea494-1e46-498d-896e-d08ee2ff8b42", "image_1": "Perception/single/10eea494-1e46-498d-896e-d08ee2ff8b42_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ee945554-d210-4950-a9c0-2537df833fac", "image_1": "Perception/single/ee945554-d210-4950-a9c0-2537df833fac_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "b04f49e7-38fa-4df5-badb-a564897a8d1b", "image_1": "Perception/single/b04f49e7-38fa-4df5-badb-a564897a8d1b_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "3ba04696-6676-4dc7-a7c3-6fa276e35e7e", "image_1": "Perception/single/3ba04696-6676-4dc7-a7c3-6fa276e35e7e_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "d3ddb8f7-310e-41f0-8047-a52710da4763", "image_1": "Perception/single/d3ddb8f7-310e-41f0-8047-a52710da4763_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "56e4429b-a6ad-41d4-8982-c3db061ecc65", "image_1": "Perception/single/56e4429b-a6ad-41d4-8982-c3db061ecc65_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a9099780-9657-489e-9e12-c55e2f40244a", "image_1": "Perception/single/a9099780-9657-489e-9e12-c55e2f40244a_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "85d9cd23-e46a-4336-995c-d7366a722543", "image_1": "Perception/single/85d9cd23-e46a-4336-995c-d7366a722543_0.png", "image_2": null, "question": "Is motion blur the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "a26d95ab-5015-4823-8c56-a637b7a7e587", "image_1": "Perception/single/a26d95ab-5015-4823-8c56-a637b7a7e587_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "a94a8ae5-aae3-4bb6-a332-7ee24dca2036", "image_1": "Perception/single/a94a8ae5-aae3-4bb6-a332-7ee24dca2036_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "0f82092c-3903-47c1-983e-7e78af66e76f", "image_1": "Perception/single/0f82092c-3903-47c1-983e-7e78af66e76f_0.png", "image_2": null, "question": "Is gaussian noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0110c7cb-8a5b-461f-899e-a1b1da43fe0d", "image_1": "Perception/single/0110c7cb-8a5b-461f-899e-a1b1da43fe0d_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "fb1e0772-7fba-475a-a134-062bbe9fbdf8", "image_1": "Perception/single/fb1e0772-7fba-475a-a134-062bbe9fbdf8_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "6eb7ab91-90f4-40ed-93f1-5244bb7c0465", "image_1": "Perception/single/6eb7ab91-90f4-40ed-93f1-5244bb7c0465_0.png", "image_2": null, "question": "Is stripe noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "0af2fdea-ae31-495e-8666-f4857d530c89", "image_1": "Perception/single/0af2fdea-ae31-495e-8666-f4857d530c89_0.png", "image_2": null, "question": "Does cloud reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "46e15a37-592d-4f5f-a1e0-0dfe3625cdb1", "image_1": "Perception/single/46e15a37-592d-4f5f-a1e0-0dfe3625cdb1_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "c80981bc-cf9b-4353-b1c5-9b9081840581", "image_1": "Perception/single/c80981bc-cf9b-4353-b1c5-9b9081840581_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "b1ce55b3-aa25-4cc7-ad5e-79c34101aafd", "image_1": "Perception/single/b1ce55b3-aa25-4cc7-ad5e-79c34101aafd_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "f29ed734-0c95-4ff1-b1bc-297d1985003c", "image_1": "Perception/single/f29ed734-0c95-4ff1-b1bc-297d1985003c_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b378e30b-0571-48f5-a297-c7454bc53138", "image_1": "Perception/single/b378e30b-0571-48f5-a297-c7454bc53138_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "816a1018-ded7-4f25-b86e-0c9b8327881b", "image_1": "Perception/single/816a1018-ded7-4f25-b86e-0c9b8327881b_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "196df0da-ed92-4b97-af78-8ca76cbcb298", "image_1": "Perception/single/196df0da-ed92-4b97-af78-8ca76cbcb298_0.png", "image_2": null, "question": "Does missing tiles interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "44c5c8a3-0d25-486b-ab3a-a3ebf6237d15", "image_1": "Perception/single/44c5c8a3-0d25-486b-ab3a-a3ebf6237d15_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "65a378ef-b195-4302-aea4-9663c17eb103", "image_1": "Perception/single/65a378ef-b195-4302-aea4-9663c17eb103_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "da2be7f6-19aa-4f15-8d8b-9fd91f6f3f85", "image_1": "Perception/single/da2be7f6-19aa-4f15-8d8b-9fd91f6f3f85_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "ef576c31-7261-4081-bae5-5311092c2464", "image_1": "Perception/single/ef576c31-7261-4081-bae5-5311092c2464_0.png", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "11b34e8e-2107-4e33-a960-66d9db093e56", "image_1": "Perception/single/11b34e8e-2107-4e33-a960-66d9db093e56_0.png", "image_2": null, "question": "Is motion blur the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "354d9f68-5a66-4616-b7c5-d2a79a0e2cd7", "image_1": "Perception/single/354d9f68-5a66-4616-b7c5-d2a79a0e2cd7_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "d8b3361d-5e80-423d-8409-3fc0561d8eac", "image_1": "Perception/single/d8b3361d-5e80-423d-8409-3fc0561d8eac_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "dc6e6d81-40f4-4611-bd00-36fa3acb5ebe", "image_1": "Perception/single/dc6e6d81-40f4-4611-bd00-36fa3acb5ebe_0.png", "image_2": null, "question": "Is haze a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2ab02e09-7f1b-44a2-84cd-69f2ada563d7", "image_1": "Perception/single/2ab02e09-7f1b-44a2-84cd-69f2ada563d7_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "0efecf96-c254-493d-b7f8-50e291a52cc8", "image_1": "Perception/single/0efecf96-c254-493d-b7f8-50e291a52cc8_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "dedddc0a-8ebe-402d-ae29-254b6473e880", "image_1": "Perception/single/dedddc0a-8ebe-402d-ae29-254b6473e880_0.png", "image_2": null, "question": "Does dead pixel reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "070f9c95-344b-44e3-9be3-55d115fe9025", "image_1": "Perception/single/070f9c95-344b-44e3-9be3-55d115fe9025_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "52302cfc-617d-4647-8f4e-7072c0fecb1e", "image_1": "Perception/single/52302cfc-617d-4647-8f4e-7072c0fecb1e_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "B"}
{"id": "2556f9a1-47ef-4413-a713-55c41a91f970", "image_1": "Perception/single/2556f9a1-47ef-4413-a713-55c41a91f970_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "21eb3ef4-a19b-47fe-b7c2-da44ceb4f1eb", "image_1": "Perception/single/21eb3ef4-a19b-47fe-b7c2-da44ceb4f1eb_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "672d38a1-40e1-44ae-885b-e8815f706202", "image_1": "Perception/single/672d38a1-40e1-44ae-885b-e8815f706202_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "321ef685-1395-46ee-9a8e-eeef04afaafc", "image_1": "Perception/single/321ef685-1395-46ee-9a8e-eeef04afaafc_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "f83a7045-242b-4b18-ae12-6b6a79b61726", "image_1": "Perception/single/f83a7045-242b-4b18-ae12-6b6a79b61726_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "ce47fa3e-64e3-443a-9101-f23e7dde41d9", "image_1": "Perception/single/ce47fa3e-64e3-443a-9101-f23e7dde41d9_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "92f50023-849f-4527-9ede-aae4b653ce64", "image_1": "Perception/single/92f50023-849f-4527-9ede-aae4b653ce64_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "02757599-cf2d-4ee5-b017-96278d938732", "image_1": "Perception/single/02757599-cf2d-4ee5-b017-96278d938732_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "c13fcaaa-3732-4e41-84b4-b2cd0c86b93a", "image_1": "Perception/single/c13fcaaa-3732-4e41-84b4-b2cd0c86b93a_0.png", "image_2": null, "question": "Does deadline noise compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "8e2ab2be-c696-4496-a5bf-6a15100f9a86", "image_1": "Perception/single/8e2ab2be-c696-4496-a5bf-6a15100f9a86_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "2dbde830-8536-43d5-b079-ba43a1f3ab9a", "image_1": "Perception/single/2dbde830-8536-43d5-b079-ba43a1f3ab9a_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "6937dd5c-8a29-47a7-b0f4-d040ccd5d2fe", "image_1": "Perception/single/6937dd5c-8a29-47a7-b0f4-d040ccd5d2fe_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "890e47c7-efb3-452e-8eb3-64b9522fd462", "image_1": "Perception/single/890e47c7-efb3-452e-8eb3-64b9522fd462_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "40d20dce-e6e1-45fe-a236-c842bb56ac2e", "image_1": "Perception/single/40d20dce-e6e1-45fe-a236-c842bb56ac2e_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "fb33058b-8f83-44b7-949d-fe6de488d8d0", "image_1": "Perception/single/fb33058b-8f83-44b7-949d-fe6de488d8d0_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "504bf13f-8a4a-46c0-88bf-1f8e1df0bfef", "image_1": "Perception/single/504bf13f-8a4a-46c0-88bf-1f8e1df0bfef_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c2a79e75-f01b-402c-bc09-c99d75704232", "image_1": "Perception/single/c2a79e75-f01b-402c-bc09-c99d75704232_0.png", "image_2": null, "question": "Does gaussian noise result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "b184bf62-6d4a-4cd9-95fc-09478e3c1e03", "image_1": "Perception/single/b184bf62-6d4a-4cd9-95fc-09478e3c1e03_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "e19b95fa-4f5f-4835-aa6c-7129193939cf", "image_1": "Perception/single/e19b95fa-4f5f-4835-aa6c-7129193939cf_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "afce8785-2c41-466b-bb29-759ca7a59ce6", "image_1": "Perception/single/afce8785-2c41-466b-bb29-759ca7a59ce6_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "bbb44bfb-f1a6-4d6a-a022-a4f249d6efff", "image_1": "Perception/single/bbb44bfb-f1a6-4d6a-a022-a4f249d6efff_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "9b3b5276-211d-46cd-a2ab-49b829f815ae", "image_1": "Perception/single/9b3b5276-211d-46cd-a2ab-49b829f815ae_0.png", "image_2": null, "question": "Does stripe noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "96ecea17-11a4-4e76-b337-92dbe8e5f7e0", "image_1": "Perception/single/96ecea17-11a4-4e76-b337-92dbe8e5f7e0_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "6b09c6e5-b9f6-4cfb-b361-77e96028d6b4", "image_1": "Perception/single/6b09c6e5-b9f6-4cfb-b361-77e96028d6b4_0.png", "image_2": null, "question": "Does this image contain dead pixel?\nA.Yes\nB.No", "answer": "B"}
{"id": "30358d09-75fb-4456-99b9-323441114216", "image_1": "Perception/single/30358d09-75fb-4456-99b9-323441114216_0.png", "image_2": null, "question": "Is image stretching a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "861ee2c0-eb9f-4188-855a-38465e426978", "image_1": "Perception/single/861ee2c0-eb9f-4188-855a-38465e426978_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "9c973ddd-2aa3-4af5-8270-a57bc62a9fbc", "image_1": "Perception/single/9c973ddd-2aa3-4af5-8270-a57bc62a9fbc_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "5a4c445b-40c5-442f-8f1e-27da8c4fd8d8", "image_1": "Perception/single/5a4c445b-40c5-442f-8f1e-27da8c4fd8d8_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "3b09cb14-c1c0-438f-99ea-001aca9f6ca3", "image_1": "Perception/single/3b09cb14-c1c0-438f-99ea-001aca9f6ca3_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "8ebd4283-216c-4eb7-b008-7dc8c7de38f3", "image_1": "Perception/single/8ebd4283-216c-4eb7-b008-7dc8c7de38f3_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "6cbe0d5a-aaf8-458f-a6e5-dfccf1f709a2", "image_1": "Perception/single/6cbe0d5a-aaf8-458f-a6e5-dfccf1f709a2_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8325e4b0-79cd-436d-a0ac-efa01c124a6b", "image_1": "Perception/single/8325e4b0-79cd-436d-a0ac-efa01c124a6b_0.png", "image_2": null, "question": "Is haze the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "aa48ffb1-0671-4a4a-9322-71073294afc5", "image_1": "Perception/single/aa48ffb1-0671-4a4a-9322-71073294afc5_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "f8e55c9d-ac52-46d8-8394-7ba75cada4cf", "image_1": "Perception/single/f8e55c9d-ac52-46d8-8394-7ba75cada4cf_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "bf1d2251-c1a4-4a52-8b20-3a0ca7857821", "image_1": "Perception/single/bf1d2251-c1a4-4a52-8b20-3a0ca7857821_0.png", "image_2": null, "question": "Is stripe noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "cbb0ae87-1c46-468d-be58-00f4b870c627", "image_1": "Perception/single/cbb0ae87-1c46-468d-be58-00f4b870c627_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "60180590-5e11-4a69-974d-aef7581de188", "image_1": "Perception/single/60180590-5e11-4a69-974d-aef7581de188_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "bb6372c5-a75d-4cc9-a99a-19e04f63b436", "image_1": "Perception/single/bb6372c5-a75d-4cc9-a99a-19e04f63b436_0.png", "image_2": null, "question": "Can spatially correlated noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c50423c5-8fdb-4164-90cf-fc7348c02b46", "image_1": "Perception/single/c50423c5-8fdb-4164-90cf-fc7348c02b46_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "76bb29bb-abd2-40e0-9140-c784f9d8608c", "image_1": "Perception/single/76bb29bb-abd2-40e0-9140-c784f9d8608c_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "f41cc84b-c3db-4bea-8a48-9b6fc7ce95b6", "image_1": "Perception/single/f41cc84b-c3db-4bea-8a48-9b6fc7ce95b6_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "899d43c6-b5fd-42e5-a08a-233ec3b994bd", "image_1": "Perception/single/899d43c6-b5fd-42e5-a08a-233ec3b994bd_0.png", "image_2": null, "question": "Is color distortion responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d4e1da34-03c3-4f3a-aa39-fa6f146477c6", "image_1": "Perception/single/d4e1da34-03c3-4f3a-aa39-fa6f146477c6_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "16b0107c-b157-4c29-9947-df6cd98184df", "image_1": "Perception/single/16b0107c-b157-4c29-9947-df6cd98184df_0.png", "image_2": null, "question": "Is gaussian noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "dd940ece-5cec-4dcc-92d9-3d640f599441", "image_1": "Perception/single/dd940ece-5cec-4dcc-92d9-3d640f599441_0.png", "image_2": null, "question": "Is image compression present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "df849679-2e80-4c36-9f73-d09c9658dde2", "image_1": "Perception/single/df849679-2e80-4c36-9f73-d09c9658dde2_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "aeb36026-f1f8-41ef-9da8-8c51c6085d33", "image_1": "Perception/single/aeb36026-f1f8-41ef-9da8-8c51c6085d33_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "932ba1bc-fb59-4226-91a2-54dbbc84c7a6", "image_1": "Perception/single/932ba1bc-fb59-4226-91a2-54dbbc84c7a6_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "876bfd50-b722-4432-a033-edd2489ba082", "image_1": "Perception/single/876bfd50-b722-4432-a033-edd2489ba082_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "c6e8890e-0fc9-402a-937c-2e03a792083a", "image_1": "Perception/single/c6e8890e-0fc9-402a-937c-2e03a792083a_0.png", "image_2": null, "question": "Is image compression present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "1c0c6f36-0c01-4a5c-9293-534f340cb962", "image_1": "Perception/single/1c0c6f36-0c01-4a5c-9293-534f340cb962_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "548c6e5f-2b55-4cec-a5f9-3bca5a3cb2de", "image_1": "Perception/single/548c6e5f-2b55-4cec-a5f9-3bca5a3cb2de_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "14a4d36c-b4a3-4c70-9545-516dc744e2be", "image_1": "Perception/single/14a4d36c-b4a3-4c70-9545-516dc744e2be_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "761ba5b8-284b-4362-a940-97c02f432e6d", "image_1": "Perception/single/761ba5b8-284b-4362-a940-97c02f432e6d_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "bc292926-251b-49b9-b2d1-969251b3d124", "image_1": "Perception/single/bc292926-251b-49b9-b2d1-969251b3d124_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a99e0dc5-c10a-41b9-b528-6e4cedc4578b", "image_1": "Perception/single/a99e0dc5-c10a-41b9-b528-6e4cedc4578b_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8736e62e-c8d2-4ba2-af0b-5be6724ccf79", "image_1": "Perception/single/8736e62e-c8d2-4ba2-af0b-5be6724ccf79_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a6cbe342-d6d2-4fce-84f1-d80310782c96", "image_1": "Perception/single/a6cbe342-d6d2-4fce-84f1-d80310782c96_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "7f3b0959-c63b-4f15-b238-abc8f7e292b1", "image_1": "Perception/single/7f3b0959-c63b-4f15-b238-abc8f7e292b1_0.png", "image_2": null, "question": "Does stripe noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "d932f32d-9c39-4c22-a90c-affecda9aa96", "image_1": "Perception/single/d932f32d-9c39-4c22-a90c-affecda9aa96_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "38250a59-e390-4fff-a020-b79b18977232", "image_1": "Perception/single/38250a59-e390-4fff-a020-b79b18977232_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "7d262c08-acb3-46a6-821a-13f3778dc76c", "image_1": "Perception/single/7d262c08-acb3-46a6-821a-13f3778dc76c_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "af63e5e1-6cb3-4557-b9a0-82b5e528d31b", "image_1": "Perception/single/af63e5e1-6cb3-4557-b9a0-82b5e528d31b_0.png", "image_2": null, "question": "Does image stretching obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "a5804dee-9d31-4d24-a819-58dc9c22883f", "image_1": "Perception/single/a5804dee-9d31-4d24-a819-58dc9c22883f_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "65313f99-25bf-46be-99b8-79fce2ff0850", "image_1": "Perception/single/65313f99-25bf-46be-99b8-79fce2ff0850_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "cb9507a3-7b64-4f40-a501-6f8d1dee1004", "image_1": "Perception/single/cb9507a3-7b64-4f40-a501-6f8d1dee1004_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "83fc10f7-8783-496c-bb04-21a036b0433d", "image_1": "Perception/single/83fc10f7-8783-496c-bb04-21a036b0433d_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "af7ffdb7-b2fa-41c7-93cf-46d3b4260be3", "image_1": "Perception/single/af7ffdb7-b2fa-41c7-93cf-46d3b4260be3_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "93a38db7-eccf-4591-9b52-ab12b17c6709", "image_1": "Perception/single/93a38db7-eccf-4591-9b52-ab12b17c6709_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "ddff6962-9f0a-4f6b-a2ec-3a6add7ca50d", "image_1": "Perception/single/ddff6962-9f0a-4f6b-a2ec-3a6add7ca50d_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6e5e7554-0ac6-4874-89e9-4382c1a55ebd", "image_1": "Perception/single/6e5e7554-0ac6-4874-89e9-4382c1a55ebd_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "8ba0c02a-568c-4bca-b799-a07dffaab621", "image_1": "Perception/single/8ba0c02a-568c-4bca-b799-a07dffaab621_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "fd6c8258-5b0f-44eb-a4c2-442c7f975aec", "image_1": "Perception/single/fd6c8258-5b0f-44eb-a4c2-442c7f975aec_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "145e5c48-40e6-4f54-9cb9-09cf2d4140e1", "image_1": "Perception/single/145e5c48-40e6-4f54-9cb9-09cf2d4140e1_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "23a57409-798c-40af-9235-c29129cf065b", "image_1": "Perception/single/23a57409-798c-40af-9235-c29129cf065b_0.png", "image_2": null, "question": "Is missing tiles the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "b8240ac9-d502-4d5b-8329-267b68e0347a", "image_1": "Perception/single/b8240ac9-d502-4d5b-8329-267b68e0347a_0.png", "image_2": null, "question": "Is stripe noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "e7a0c161-88a7-4e25-87d0-5dc1a83748e2", "image_1": "Perception/single/e7a0c161-88a7-4e25-87d0-5dc1a83748e2_0.png", "image_2": null, "question": "Does cloud reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "302f85e5-be65-43cf-802e-f26b96b16314", "image_1": "Perception/single/302f85e5-be65-43cf-802e-f26b96b16314_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "e634cf0a-d77c-41ea-9e08-a8adddb6a4e9", "image_1": "Perception/single/e634cf0a-d77c-41ea-9e08-a8adddb6a4e9_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "28463196-1f31-4bc6-969f-e711b67adac0", "image_1": "Perception/single/28463196-1f31-4bc6-969f-e711b67adac0_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "6ccd9fb8-a837-48a1-90d3-6a671e334941", "image_1": "Perception/single/6ccd9fb8-a837-48a1-90d3-6a671e334941_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c234018a-6d46-40fc-82b0-04db93e0f166", "image_1": "Perception/single/c234018a-6d46-40fc-82b0-04db93e0f166_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "dc6581da-3a6c-476a-a004-de73d536864d", "image_1": "Perception/single/dc6581da-3a6c-476a-a004-de73d536864d_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "41cb4cfe-e77b-4b45-9e26-836e227e7491", "image_1": "Perception/single/41cb4cfe-e77b-4b45-9e26-836e227e7491_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "a1ef9645-f0b6-4538-8c03-d8932c0612f7", "image_1": "Perception/single/a1ef9645-f0b6-4538-8c03-d8932c0612f7_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "31623177-205b-4278-94da-cca0d0f6b8ef", "image_1": "Perception/single/31623177-205b-4278-94da-cca0d0f6b8ef_0.png", "image_2": null, "question": "Can cloud be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "8a602b51-6dee-4b30-ab93-1e19edcad618", "image_1": "Perception/single/8a602b51-6dee-4b30-ab93-1e19edcad618_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "fd656a8a-bbce-4ce6-89fc-33f7a4a7afcb", "image_1": "Perception/single/fd656a8a-bbce-4ce6-89fc-33f7a4a7afcb_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "139f8694-3e91-4128-b89d-84da0b8efd18", "image_1": "Perception/single/139f8694-3e91-4128-b89d-84da0b8efd18_0.png", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "c17200c7-485b-492d-80cf-709c18238954", "image_1": "Perception/single/c17200c7-485b-492d-80cf-709c18238954_0.png", "image_2": null, "question": "Is motion blur the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "e4fa622f-3fb2-4d2b-9203-27475208c0f8", "image_1": "Perception/single/e4fa622f-3fb2-4d2b-9203-27475208c0f8_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "9af789e8-dc5f-4baa-badf-55e12ae45b7e", "image_1": "Perception/single/9af789e8-dc5f-4baa-badf-55e12ae45b7e_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "51047f28-0f49-4326-8bc0-4348a50508c0", "image_1": "Perception/single/51047f28-0f49-4326-8bc0-4348a50508c0_0.png", "image_2": null, "question": "Is haze a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "cd2c1264-e5fe-48d4-af2a-74d977fa3471", "image_1": "Perception/single/cd2c1264-e5fe-48d4-af2a-74d977fa3471_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "eb7fa0eb-e105-4f3e-a4e9-be06022e9240", "image_1": "Perception/single/eb7fa0eb-e105-4f3e-a4e9-be06022e9240_0.png", "image_2": null, "question": "Does cloud interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "3eae4f89-8598-4e4f-b68a-9512cebb1d82", "image_1": "Perception/single/3eae4f89-8598-4e4f-b68a-9512cebb1d82_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "bdd65cb0-1813-4c94-92c5-d6280ce81d1d", "image_1": "Perception/single/bdd65cb0-1813-4c94-92c5-d6280ce81d1d_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ac9add0a-d479-4a08-a483-b5be91ec6611", "image_1": "Perception/single/ac9add0a-d479-4a08-a483-b5be91ec6611_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "76c7e88a-1b37-4976-b0b2-d9cec558f930", "image_1": "Perception/single/76c7e88a-1b37-4976-b0b2-d9cec558f930_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "583c241e-3dce-44c6-8d5b-89230ebe84ff", "image_1": "Perception/single/583c241e-3dce-44c6-8d5b-89230ebe84ff_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "eb36e0f7-64c1-460e-b923-a9f6b8d4ce62", "image_1": "Perception/single/eb36e0f7-64c1-460e-b923-a9f6b8d4ce62_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "c65957a4-4984-49f4-a971-3bf8daa7165e", "image_1": "Perception/single/c65957a4-4984-49f4-a971-3bf8daa7165e_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "d8d87eae-7643-46a9-8e77-57465779260d", "image_1": "Perception/single/d8d87eae-7643-46a9-8e77-57465779260d_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "4fe14495-cd35-4c3d-ab75-229a91cabe6c", "image_1": "Perception/single/4fe14495-cd35-4c3d-ab75-229a91cabe6c_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "f397f0cc-0487-47f1-b2e6-9e7083362d28", "image_1": "Perception/single/f397f0cc-0487-47f1-b2e6-9e7083362d28_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "8d59395b-e63d-4094-b86c-b5a89f066532", "image_1": "Perception/single/8d59395b-e63d-4094-b86c-b5a89f066532_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1b31b726-fba2-4419-8ce7-889fb36f36a4", "image_1": "Perception/single/1b31b726-fba2-4419-8ce7-889fb36f36a4_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "233a790e-4db4-4721-b783-def3a37887e1", "image_1": "Perception/single/233a790e-4db4-4721-b783-def3a37887e1_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "84289527-1232-4cb3-9da3-eedd2d9397ac", "image_1": "Perception/single/84289527-1232-4cb3-9da3-eedd2d9397ac_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "70dd7504-750d-4fb4-a3e5-39f786cab7b8", "image_1": "Perception/single/70dd7504-750d-4fb4-a3e5-39f786cab7b8_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "952bfb1c-9c03-4f9e-b5d8-1c23ee6fab76", "image_1": "Perception/single/952bfb1c-9c03-4f9e-b5d8-1c23ee6fab76_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "af864709-3251-4419-a79e-4b200e65f4c3", "image_1": "Perception/single/af864709-3251-4419-a79e-4b200e65f4c3_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "253ab5c5-431b-434b-ab2f-0a90cd823951", "image_1": "Perception/single/253ab5c5-431b-434b-ab2f-0a90cd823951_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "2e330bfe-426f-4c5f-bea3-814805f48916", "image_1": "Perception/single/2e330bfe-426f-4c5f-bea3-814805f48916_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "ff24d547-dec1-4a75-97fc-b766a0a6e81f", "image_1": "Perception/single/ff24d547-dec1-4a75-97fc-b766a0a6e81f_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "3593a24f-52a2-4d58-9adc-1971537d6d49", "image_1": "Perception/single/3593a24f-52a2-4d58-9adc-1971537d6d49_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "3287b17c-b8be-4fae-8ab6-423084622361", "image_1": "Perception/single/3287b17c-b8be-4fae-8ab6-423084622361_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "98d299c1-75d5-49e4-a15d-40ad3d8ebc3e", "image_1": "Perception/single/98d299c1-75d5-49e4-a15d-40ad3d8ebc3e_0.png", "image_2": null, "question": "Is the image impacted by missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "3ce8daae-3364-45cb-8d95-008f0f692758", "image_1": "Perception/single/3ce8daae-3364-45cb-8d95-008f0f692758_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b3596564-c077-472b-a5f6-73c44c99d34e", "image_1": "Perception/single/b3596564-c077-472b-a5f6-73c44c99d34e_0.png", "image_2": null, "question": "Does gaussian blur affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "b0b9ad4d-59d2-4172-a50f-64f547757249", "image_1": "Perception/single/b0b9ad4d-59d2-4172-a50f-64f547757249_0.png", "image_2": null, "question": "Does stripe noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "0bc52f6a-d449-4c51-a4b6-46b0a7fa383e", "image_1": "Perception/single/0bc52f6a-d449-4c51-a4b6-46b0a7fa383e_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "fce5202b-a8be-46c5-9833-531836857e6d", "image_1": "Perception/single/fce5202b-a8be-46c5-9833-531836857e6d_0.png", "image_2": null, "question": "Does this image contain dead pixel?\nA.Yes\nB.No", "answer": "B"}
{"id": "b341c8aa-13da-490c-afec-b76f8115e51d", "image_1": "Perception/single/b341c8aa-13da-490c-afec-b76f8115e51d_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "4b0e3130-7d6a-4fe4-a608-534018204b59", "image_1": "Perception/single/4b0e3130-7d6a-4fe4-a608-534018204b59_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "0dd37d0f-2cec-4af6-a4ea-651bb0a710be", "image_1": "Perception/single/0dd37d0f-2cec-4af6-a4ea-651bb0a710be_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "7b8b9f56-b165-43c4-9948-223bb2a8e8a9", "image_1": "Perception/single/7b8b9f56-b165-43c4-9948-223bb2a8e8a9_0.png", "image_2": null, "question": "Does haze obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "8b75417b-6290-44f2-ba35-cc28cc5ff9a0", "image_1": "Perception/single/8b75417b-6290-44f2-ba35-cc28cc5ff9a0_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "befce629-5035-40fb-b589-02bd6fd5303b", "image_1": "Perception/single/befce629-5035-40fb-b589-02bd6fd5303b_0.png", "image_2": null, "question": "Does missing tiles lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "180b1f3d-fce4-449a-b0f3-b69419d9519c", "image_1": "Perception/single/180b1f3d-fce4-449a-b0f3-b69419d9519c_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "da612c96-6b17-4c36-82af-e288c9f4ac78", "image_1": "Perception/single/da612c96-6b17-4c36-82af-e288c9f4ac78_0.png", "image_2": null, "question": "Is the image impacted by deadline noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "4242d061-3c4f-4513-a5cf-4f9c0dab1251", "image_1": "Perception/single/4242d061-3c4f-4513-a5cf-4f9c0dab1251_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "068c343d-cf6f-4f6d-bbbc-833fffea661e", "image_1": "Perception/single/068c343d-cf6f-4f6d-bbbc-833fffea661e_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "d44ff382-eba6-458c-8915-0e3f00d21b22", "image_1": "Perception/single/d44ff382-eba6-458c-8915-0e3f00d21b22_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "82f80447-5ab3-441f-9f7d-cb77c6fe9a52", "image_1": "Perception/single/82f80447-5ab3-441f-9f7d-cb77c6fe9a52_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "66a73740-64f9-4d02-bdde-51d291f1a123", "image_1": "Perception/single/66a73740-64f9-4d02-bdde-51d291f1a123_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "ed6cfa0b-4b91-4553-aa35-2e59739c9b8e", "image_1": "Perception/single/ed6cfa0b-4b91-4553-aa35-2e59739c9b8e_0.png", "image_2": null, "question": "Is cloud the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "fba579bd-577d-4db1-98d5-ebea2828bbe8", "image_1": "Perception/single/fba579bd-577d-4db1-98d5-ebea2828bbe8_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "081feb04-3874-4f2e-b2ca-1a39a1e9642b", "image_1": "Perception/single/081feb04-3874-4f2e-b2ca-1a39a1e9642b_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2155d217-55a5-420b-ba7a-e74b9552338d", "image_1": "Perception/single/2155d217-55a5-420b-ba7a-e74b9552338d_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "eb09b236-d04b-42cb-ab95-b3c6f60b445b", "image_1": "Perception/single/eb09b236-d04b-42cb-ab95-b3c6f60b445b_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8e524af5-d63d-424c-8f23-4d78a452fa9b", "image_1": "Perception/single/8e524af5-d63d-424c-8f23-4d78a452fa9b_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d5e76fa6-cd89-433e-880d-31c4a41059ed", "image_1": "Perception/single/d5e76fa6-cd89-433e-880d-31c4a41059ed_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "e7bb8bc1-194d-4dd6-8306-211dcf14dce1", "image_1": "Perception/single/e7bb8bc1-194d-4dd6-8306-211dcf14dce1_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "8c65a7fb-525b-4920-bc6a-5f5106c6397f", "image_1": "Perception/single/8c65a7fb-525b-4920-bc6a-5f5106c6397f_0.png", "image_2": null, "question": "Is gaussian noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1f93f433-6ae0-4f01-a035-ed941c9aa61a", "image_1": "Perception/single/1f93f433-6ae0-4f01-a035-ed941c9aa61a_0.png", "image_2": null, "question": "Is image compression present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "f87454f0-fd32-44b4-9035-b18a53e7cc43", "image_1": "Perception/single/f87454f0-fd32-44b4-9035-b18a53e7cc43_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c56ff070-a6b8-491e-b0a8-38e6a5aba26b", "image_1": "Perception/single/c56ff070-a6b8-491e-b0a8-38e6a5aba26b_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "264b5e02-d6ae-4cbf-919a-b36c0aaa0a3d", "image_1": "Perception/single/264b5e02-d6ae-4cbf-919a-b36c0aaa0a3d_0.png", "image_2": null, "question": "Is missing tiles a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d30ee1c3-5959-416a-a90b-1c4e5bd34048", "image_1": "Perception/single/d30ee1c3-5959-416a-a90b-1c4e5bd34048_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "369c3a6f-ced4-4ec6-89f8-ed63f0e95bc2", "image_1": "Perception/single/369c3a6f-ced4-4ec6-89f8-ed63f0e95bc2_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "0ec900ca-362c-48eb-94e0-90bb03106c05", "image_1": "Perception/single/0ec900ca-362c-48eb-94e0-90bb03106c05_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "c701fb08-f658-49fb-9928-dd85a3299be0", "image_1": "Perception/single/c701fb08-f658-49fb-9928-dd85a3299be0_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "074a6099-9f6b-47cd-b1e4-ae14459f1546", "image_1": "Perception/single/074a6099-9f6b-47cd-b1e4-ae14459f1546_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "0095170b-8542-492a-8155-0093e958bc54", "image_1": "Perception/single/0095170b-8542-492a-8155-0093e958bc54_0.png", "image_2": null, "question": "Can color distortion be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "6b638225-9f26-4812-9a59-113e0510b538", "image_1": "Perception/single/6b638225-9f26-4812-9a59-113e0510b538_0.png", "image_2": null, "question": "Can deadline noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ef966a87-a6d9-490c-a4d2-ef675c7c2ed5", "image_1": "Perception/single/ef966a87-a6d9-490c-a4d2-ef675c7c2ed5_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "937f1d2b-47b4-4aa1-be09-c10b3c7db7b4", "image_1": "Perception/single/937f1d2b-47b4-4aa1-be09-c10b3c7db7b4_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "fa953c7e-5ab8-4673-bd16-caf3e09d3708", "image_1": "Perception/single/fa953c7e-5ab8-4673-bd16-caf3e09d3708_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "bea5cfdb-1cee-40b1-bd90-d71319a7d081", "image_1": "Perception/single/bea5cfdb-1cee-40b1-bd90-d71319a7d081_0.png", "image_2": null, "question": "Does image stretching obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "001d174b-0f01-43b2-8aaa-5ea650d34e51", "image_1": "Perception/single/001d174b-0f01-43b2-8aaa-5ea650d34e51_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "16ed8e65-2387-4816-a8d2-bd75292c7a6e", "image_1": "Perception/single/16ed8e65-2387-4816-a8d2-bd75292c7a6e_0.png", "image_2": null, "question": "Does color distortion interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "614b6008-362d-4ea2-bc59-ffd344ea9f01", "image_1": "Perception/single/614b6008-362d-4ea2-bc59-ffd344ea9f01_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f95da63a-e51f-45f0-9101-afc0dcac87c1", "image_1": "Perception/single/f95da63a-e51f-45f0-9101-afc0dcac87c1_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "14afe7ac-470f-4b8e-96c3-81d9b6b1dee1", "image_1": "Perception/single/14afe7ac-470f-4b8e-96c3-81d9b6b1dee1_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "395e630e-efa6-4149-b27e-bec4461f82d8", "image_1": "Perception/single/395e630e-efa6-4149-b27e-bec4461f82d8_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "3f43dd2b-e865-4da0-9a25-0dc87f7af56a", "image_1": "Perception/single/3f43dd2b-e865-4da0-9a25-0dc87f7af56a_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "05a71e17-dd53-4e7c-aee6-fca3cc91cd0d", "image_1": "Perception/single/05a71e17-dd53-4e7c-aee6-fca3cc91cd0d_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "8fd08c87-a474-453d-a476-5a1d18a432ae", "image_1": "Perception/single/8fd08c87-a474-453d-a476-5a1d18a432ae_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "dc6f1a7a-b075-4810-baec-d74f5a4ef843", "image_1": "Perception/single/dc6f1a7a-b075-4810-baec-d74f5a4ef843_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "894de1dc-fda8-4790-b7c2-84878ede38c9", "image_1": "Perception/single/894de1dc-fda8-4790-b7c2-84878ede38c9_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "632b305c-4d3c-416e-b871-6dcc9666a70a", "image_1": "Perception/single/632b305c-4d3c-416e-b871-6dcc9666a70a_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "bc495005-319f-4959-a1e8-c2c7fff69f73", "image_1": "Perception/single/bc495005-319f-4959-a1e8-c2c7fff69f73_0.png", "image_2": null, "question": "Is stripe noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "1495307c-0a42-4af4-aea3-1f5b872be90d", "image_1": "Perception/single/1495307c-0a42-4af4-aea3-1f5b872be90d_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "ef8d2103-a28b-44c8-8090-2faf67b038ce", "image_1": "Perception/single/ef8d2103-a28b-44c8-8090-2faf67b038ce_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "430e0844-60d8-4706-b15b-2b169e7532fd", "image_1": "Perception/single/430e0844-60d8-4706-b15b-2b169e7532fd_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "f8fe2f50-ad61-44d4-aa09-4f0ac97a5e6b", "image_1": "Perception/single/f8fe2f50-ad61-44d4-aa09-4f0ac97a5e6b_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "3b22b21a-46fa-4bdb-9da6-3615854c570b", "image_1": "Perception/single/3b22b21a-46fa-4bdb-9da6-3615854c570b_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f5670c4a-165f-4984-9757-8442d244b434", "image_1": "Perception/single/f5670c4a-165f-4984-9757-8442d244b434_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "8109abb9-0fca-4f36-8363-b16433fdd7a4", "image_1": "Perception/single/8109abb9-0fca-4f36-8363-b16433fdd7a4_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "88b653da-659f-4180-9cf7-f4d6237171c9", "image_1": "Perception/single/88b653da-659f-4180-9cf7-f4d6237171c9_0.png", "image_2": null, "question": "Does haze result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "401a94ba-cd58-490d-9b28-72d970d8c164", "image_1": "Perception/single/401a94ba-cd58-490d-9b28-72d970d8c164_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "f4d85966-d4ca-4e15-a584-49b4eb611bd2", "image_1": "Perception/single/f4d85966-d4ca-4e15-a584-49b4eb611bd2_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "b32380bd-179c-4435-a405-84322ecc5283", "image_1": "Perception/single/b32380bd-179c-4435-a405-84322ecc5283_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "29e45f0d-c2e9-4c10-9c74-0d972dc467b9", "image_1": "Perception/single/29e45f0d-c2e9-4c10-9c74-0d972dc467b9_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "adb923e9-ccca-4c0c-a250-76185d74f26e", "image_1": "Perception/single/adb923e9-ccca-4c0c-a250-76185d74f26e_0.png", "image_2": null, "question": "Is image compression apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "7fc391ab-ad97-4956-873d-3263835fe0c0", "image_1": "Perception/single/7fc391ab-ad97-4956-873d-3263835fe0c0_0.png", "image_2": null, "question": "Is there gaussian noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c09c71d3-cb9c-4838-9b0d-9ca52124f7c1", "image_1": "Perception/single/c09c71d3-cb9c-4838-9b0d-9ca52124f7c1_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "6fe8dea6-85ed-4ed9-a1f5-78b8bd7cd674", "image_1": "Perception/single/6fe8dea6-85ed-4ed9-a1f5-78b8bd7cd674_0.png", "image_2": null, "question": "Is impulse noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "657c79f7-b09a-4c8f-88b5-f98270bcb592", "image_1": "Perception/single/657c79f7-b09a-4c8f-88b5-f98270bcb592_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "737e5644-c6b4-4dde-9a34-36bcd1e3293b", "image_1": "Perception/single/737e5644-c6b4-4dde-9a34-36bcd1e3293b_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "67fd9c16-add6-4f1c-ac3f-89e1c4fc54ac", "image_1": "Perception/single/67fd9c16-add6-4f1c-ac3f-89e1c4fc54ac_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "32dc611c-e0c5-47da-844f-8638b2bfa440", "image_1": "Perception/single/32dc611c-e0c5-47da-844f-8638b2bfa440_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "2d5b2aa5-10e5-4c33-905d-ccbc7a1a4067", "image_1": "Perception/single/2d5b2aa5-10e5-4c33-905d-ccbc7a1a4067_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "46f8cfdb-6080-413b-b920-6e93d147a8a4", "image_1": "Perception/single/46f8cfdb-6080-413b-b920-6e93d147a8a4_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c9d3f3a2-d742-497f-b838-fc990151f092", "image_1": "Perception/single/c9d3f3a2-d742-497f-b838-fc990151f092_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "ebbf6b39-3ba2-4a0c-8979-66f829cd0b67", "image_1": "Perception/single/ebbf6b39-3ba2-4a0c-8979-66f829cd0b67_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "9ccb705f-dfe0-4a1e-b770-d0e9d60dcc59", "image_1": "Perception/single/9ccb705f-dfe0-4a1e-b770-d0e9d60dcc59_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "B"}
{"id": "96c8ba59-f06a-433b-a8a6-fcac4debd167", "image_1": "Perception/single/96c8ba59-f06a-433b-a8a6-fcac4debd167_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "9bee3d9f-b177-4cea-b21e-4b9ea04724cb", "image_1": "Perception/single/9bee3d9f-b177-4cea-b21e-4b9ea04724cb_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "fff810fa-d61f-4339-abdc-c7c01bd1ac21", "image_1": "Perception/single/fff810fa-d61f-4339-abdc-c7c01bd1ac21_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "f577cab3-12e4-48a4-b82b-1e6710076957", "image_1": "Perception/single/f577cab3-12e4-48a4-b82b-1e6710076957_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "35e4b04a-12a0-426f-9283-2cb56bb7b8b6", "image_1": "Perception/single/35e4b04a-12a0-426f-9283-2cb56bb7b8b6_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e444399b-209e-4216-b5d7-43afdbebc6f0", "image_1": "Perception/single/e444399b-209e-4216-b5d7-43afdbebc6f0_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "61f0aa4b-aaeb-4fd7-87fa-1736875a28c6", "image_1": "Perception/single/61f0aa4b-aaeb-4fd7-87fa-1736875a28c6_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "5200b514-81a1-4275-ada5-16d30ba4972c", "image_1": "Perception/single/5200b514-81a1-4275-ada5-16d30ba4972c_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "493a9dc1-db7c-4640-bc56-7de86d41c8dd", "image_1": "Perception/single/493a9dc1-db7c-4640-bc56-7de86d41c8dd_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "0e95e7c2-baab-4fac-b701-7b40b472c00b", "image_1": "Perception/single/0e95e7c2-baab-4fac-b701-7b40b472c00b_0.png", "image_2": null, "question": "Is dead pixel present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "db057e1e-965f-4e09-8d3c-2b9d4d185713", "image_1": "Perception/single/db057e1e-965f-4e09-8d3c-2b9d4d185713_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "b5e03246-85eb-4d67-9e07-db7f9d97064e", "image_1": "Perception/single/b5e03246-85eb-4d67-9e07-db7f9d97064e_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "4913ce86-e3ae-4f4a-96a5-34cd601cb8bb", "image_1": "Perception/single/4913ce86-e3ae-4f4a-96a5-34cd601cb8bb_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6d0abdfb-05c3-4474-8203-dddd7fc96514", "image_1": "Perception/single/6d0abdfb-05c3-4474-8203-dddd7fc96514_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "e009432a-ba22-4fb3-8cdb-f2055b77e0e6", "image_1": "Perception/single/e009432a-ba22-4fb3-8cdb-f2055b77e0e6_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "79755de4-02f8-436a-9368-fdc6cb839b96", "image_1": "Perception/single/79755de4-02f8-436a-9368-fdc6cb839b96_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "4711c0da-0a93-4d2e-9e3d-f2b267d910b2", "image_1": "Perception/single/4711c0da-0a93-4d2e-9e3d-f2b267d910b2_0.png", "image_2": null, "question": "Is impulse noise the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "fe31aded-819c-450d-9c53-66674bc06db7", "image_1": "Perception/single/fe31aded-819c-450d-9c53-66674bc06db7_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "e9c0c214-2b42-40c5-9e77-aae6c5fa6d28", "image_1": "Perception/single/e9c0c214-2b42-40c5-9e77-aae6c5fa6d28_0.png", "image_2": null, "question": "Does color distortion result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "a474c196-7ce7-4f9b-98c5-3a840271b46e", "image_1": "Perception/single/a474c196-7ce7-4f9b-98c5-3a840271b46e_0.png", "image_2": null, "question": "Is the image impacted by color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "1441d4f6-82a9-4b27-8a49-d0db1e9d6d1a", "image_1": "Perception/single/1441d4f6-82a9-4b27-8a49-d0db1e9d6d1a_0.png", "image_2": null, "question": "Does this image contain motion blur?\nA.Yes\nB.No", "answer": "B"}
{"id": "ad44d488-df55-402a-ad83-11e6a82a5173", "image_1": "Perception/single/ad44d488-df55-402a-ad83-11e6a82a5173_0.png", "image_2": null, "question": "Is gaussian noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a7403763-e0e6-4454-bbb0-3f981e0ac998", "image_1": "Perception/single/a7403763-e0e6-4454-bbb0-3f981e0ac998_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "bf2cd260-97bc-4a39-a6d9-7e58811506f0", "image_1": "Perception/single/bf2cd260-97bc-4a39-a6d9-7e58811506f0_0.png", "image_2": null, "question": "Is color distortion a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "bfd2fd0c-20b9-4639-a803-7c632e75b449", "image_1": "Perception/single/bfd2fd0c-20b9-4639-a803-7c632e75b449_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "abd60ee8-2b1e-4ed2-a721-4fb8cf6926a1", "image_1": "Perception/single/abd60ee8-2b1e-4ed2-a721-4fb8cf6926a1_0.png", "image_2": null, "question": "Is image stretching a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "01f2f5ba-85ec-4710-87eb-951f58f58c40", "image_1": "Perception/single/01f2f5ba-85ec-4710-87eb-951f58f58c40_0.png", "image_2": null, "question": "Is color distortion responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "14c8ca21-7236-4e3e-9cb2-314cdff3dab2", "image_1": "Perception/single/14c8ca21-7236-4e3e-9cb2-314cdff3dab2_0.png", "image_2": null, "question": "Is the image impacted by color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "25c9a78d-2df5-43bc-91a5-e3e9f835b17c", "image_1": "Perception/single/25c9a78d-2df5-43bc-91a5-e3e9f835b17c_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "501127ea-fd60-4b94-bbd7-b4e8cde6b7c2", "image_1": "Perception/single/501127ea-fd60-4b94-bbd7-b4e8cde6b7c2_0.png", "image_2": null, "question": "Does missing tiles lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "32f0f25f-d123-4a28-b3e8-5901b991dc4c", "image_1": "Perception/single/32f0f25f-d123-4a28-b3e8-5901b991dc4c_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "d85b1bb7-a3e5-4570-a7c3-ba03c0890172", "image_1": "Perception/single/d85b1bb7-a3e5-4570-a7c3-ba03c0890172_0.png", "image_2": null, "question": "Is color distortion visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "bc3c7810-34c6-4bce-bdbd-2587d0a062e4", "image_1": "Perception/single/bc3c7810-34c6-4bce-bdbd-2587d0a062e4_0.png", "image_2": null, "question": "Is haze the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "b15fa2db-7bf4-41b7-b938-f6d0cfa73b25", "image_1": "Perception/single/b15fa2db-7bf4-41b7-b938-f6d0cfa73b25_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "3614f556-c3af-4b0c-a245-015c0e897042", "image_1": "Perception/single/3614f556-c3af-4b0c-a245-015c0e897042_0.png", "image_2": null, "question": "Is stripe noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "52018455-296d-43db-aaae-0073605ed614", "image_1": "Perception/single/52018455-296d-43db-aaae-0073605ed614_0.png", "image_2": null, "question": "Does spatially correlated noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "9cd154d4-b810-470b-8c5e-4821d06c5e87", "image_1": "Perception/single/9cd154d4-b810-470b-8c5e-4821d06c5e87_0.png", "image_2": null, "question": "Does color distortion interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "fd8d8b2c-94af-4c11-abcd-43e12a28d42d", "image_1": "Perception/single/fd8d8b2c-94af-4c11-abcd-43e12a28d42d_0.png", "image_2": null, "question": "Is color distortion the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "47424c4b-29d1-45a1-a67f-d752a231f40a", "image_1": "Perception/single/47424c4b-29d1-45a1-a67f-d752a231f40a_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "5654beef-ba21-4f61-9e1a-c439162065b2", "image_1": "Perception/single/5654beef-ba21-4f61-9e1a-c439162065b2_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "6b5eba27-4db0-43d7-a145-44b36b755763", "image_1": "Perception/single/6b5eba27-4db0-43d7-a145-44b36b755763_0.png", "image_2": null, "question": "Does motion blur reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1b42c020-cc4c-4466-a486-fdf219ef4418", "image_1": "Perception/single/1b42c020-cc4c-4466-a486-fdf219ef4418_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "bac59d6b-c2bd-4ae7-8891-d76ab2eb72d3", "image_1": "Perception/single/bac59d6b-c2bd-4ae7-8891-d76ab2eb72d3_0.png", "image_2": null, "question": "Does cloud affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "d14fceda-1f1b-4c63-9c3a-7c879b7453b1", "image_1": "Perception/single/d14fceda-1f1b-4c63-9c3a-7c879b7453b1_0.png", "image_2": null, "question": "Is color distortion responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "cd717c9d-057e-4211-a6f3-43d2b0d38801", "image_1": "Perception/single/cd717c9d-057e-4211-a6f3-43d2b0d38801_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "dbca3ece-6370-43ec-b4e6-2f84b1fbbd4a", "image_1": "Perception/single/dbca3ece-6370-43ec-b4e6-2f84b1fbbd4a_0.png", "image_2": null, "question": "Can color distortion be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "94dea65f-5fb7-46ec-8480-cd2267e754a7", "image_1": "Perception/single/94dea65f-5fb7-46ec-8480-cd2267e754a7_0.png", "image_2": null, "question": "Does color distortion result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "0f6bbaf5-70e4-412c-8e91-8ac6dfb38521", "image_1": "Perception/single/0f6bbaf5-70e4-412c-8e91-8ac6dfb38521_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "ebbaefcf-d834-415a-b6d0-9e5c12c1b953", "image_1": "Perception/single/ebbaefcf-d834-415a-b6d0-9e5c12c1b953_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "113f69e7-7c9c-4eb2-8722-0414a5e70a5d", "image_1": "Perception/single/113f69e7-7c9c-4eb2-8722-0414a5e70a5d_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "830a31e2-4bdf-480f-a0c1-39330e139fd9", "image_1": "Perception/single/830a31e2-4bdf-480f-a0c1-39330e139fd9_0.png", "image_2": null, "question": "Does color distortion obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "a8cdc7db-27a0-47e0-aea4-e16efde8c364", "image_1": "Perception/single/a8cdc7db-27a0-47e0-aea4-e16efde8c364_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "f22a80a8-4507-4d21-981f-7fbeb1cb3ca0", "image_1": "Perception/single/f22a80a8-4507-4d21-981f-7fbeb1cb3ca0_0.png", "image_2": null, "question": "Does color distortion lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "cb54cd51-c956-4166-8bc9-9e7a9eda0612", "image_1": "Perception/single/cb54cd51-c956-4166-8bc9-9e7a9eda0612_0.png", "image_2": null, "question": "Can color distortion be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ef59faba-d750-42c9-a5a4-20a87a0df197", "image_1": "Perception/single/ef59faba-d750-42c9-a5a4-20a87a0df197_0.png", "image_2": null, "question": "Can deadline noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "fc28add7-3bb9-4d10-a0f4-57a0126c5638", "image_1": "Perception/single/fc28add7-3bb9-4d10-a0f4-57a0126c5638_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "828fd6d0-55b0-418a-b9c2-381f9a598bf5", "image_1": "Perception/single/828fd6d0-55b0-418a-b9c2-381f9a598bf5_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "cfbc2ee7-a701-4c68-a931-e6d464afd315", "image_1": "Perception/single/cfbc2ee7-a701-4c68-a931-e6d464afd315_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e20253ba-d0ba-419c-a35d-de46f505891f", "image_1": "Perception/single/e20253ba-d0ba-419c-a35d-de46f505891f_0.png", "image_2": null, "question": "Does image stretching obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "241e8454-84bc-4bb7-8924-1fffc3edfd52", "image_1": "Perception/single/241e8454-84bc-4bb7-8924-1fffc3edfd52_0.png", "image_2": null, "question": "Is color distortion visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6f6fa20d-42af-4d95-9b64-1963db12ce5e", "image_1": "Perception/single/6f6fa20d-42af-4d95-9b64-1963db12ce5e_0.png", "image_2": null, "question": "Does color distortion reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a1b25e52-95b6-4924-9d2d-afcb9c794fdd", "image_1": "Perception/single/a1b25e52-95b6-4924-9d2d-afcb9c794fdd_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "67f179e2-bd99-4527-a64c-dce0599d95ea", "image_1": "Perception/single/67f179e2-bd99-4527-a64c-dce0599d95ea_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "213ad66d-b045-4297-b0fa-d632fa61cc43", "image_1": "Perception/single/213ad66d-b045-4297-b0fa-d632fa61cc43_0.png", "image_2": null, "question": "Does color distortion obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "44801d60-37c6-4d7d-a371-015e4d11420f", "image_1": "Perception/single/44801d60-37c6-4d7d-a371-015e4d11420f_0.png", "image_2": null, "question": "Is color distortion the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "a895a850-7900-4f0b-90dc-9ce0b7618234", "image_1": "Perception/single/a895a850-7900-4f0b-90dc-9ce0b7618234_0.png", "image_2": null, "question": "Is there color distortion present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "850d6cab-5a52-4062-832a-eb715098026b", "image_1": "Perception/single/850d6cab-5a52-4062-832a-eb715098026b_0.png", "image_2": null, "question": "Does color distortion obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "84314ea6-18d9-4ea7-8065-c11b77d02bb1", "image_1": "Perception/single/84314ea6-18d9-4ea7-8065-c11b77d02bb1_0.png", "image_2": null, "question": "Is there color distortion present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b85d1d48-5f38-4198-9cb5-cc4ef729e42a", "image_1": "Perception/single/b85d1d48-5f38-4198-9cb5-cc4ef729e42a_0.png", "image_2": null, "question": "Is color distortion the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "c7ab922c-3e1b-4a46-af8c-522f2f10bc95", "image_1": "Perception/single/c7ab922c-3e1b-4a46-af8c-522f2f10bc95_0.png", "image_2": null, "question": "Does color distortion interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "ce05acdc-2d83-4db9-860f-4f1db32817e3", "image_1": "Perception/single/ce05acdc-2d83-4db9-860f-4f1db32817e3_0.png", "image_2": null, "question": "Does color distortion lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "b55e88f9-6f83-4289-96a2-5f4250705b6d", "image_1": "Perception/single/b55e88f9-6f83-4289-96a2-5f4250705b6d_0.png", "image_2": null, "question": "Is gaussian noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "6a7fcba2-fbf5-43f0-8712-b91eca26053d", "image_1": "Perception/single/6a7fcba2-fbf5-43f0-8712-b91eca26053d_0.png", "image_2": null, "question": "Does color distortion result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "fea7e5bf-74bf-46bd-a565-d23c2c1d339a", "image_1": "Perception/single/fea7e5bf-74bf-46bd-a565-d23c2c1d339a_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "9bd894d0-d9ba-4a11-9b11-68088dab6156", "image_1": "Perception/single/9bd894d0-d9ba-4a11-9b11-68088dab6156_0.png", "image_2": null, "question": "Is color distortion apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "743319c5-361b-4a0f-9ed4-173af3dfd3fd", "image_1": "Perception/single/743319c5-361b-4a0f-9ed4-173af3dfd3fd_0.png", "image_2": null, "question": "Does color distortion interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "90d6bea0-3983-46f6-977a-7ec131590bf4", "image_1": "Perception/single/90d6bea0-3983-46f6-977a-7ec131590bf4_0.png", "image_2": null, "question": "Does color distortion reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d365ae1a-e079-4c83-a0f6-243c2a795187", "image_1": "Perception/single/d365ae1a-e079-4c83-a0f6-243c2a795187_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "8c714da5-682c-4926-bad4-3c44094fd59b", "image_1": "Perception/single/8c714da5-682c-4926-bad4-3c44094fd59b_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "30c607b3-ef25-4f38-ad67-c634df2690fd", "image_1": "Perception/single/30c607b3-ef25-4f38-ad67-c634df2690fd_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "802b414e-caed-4372-a514-739d6f86fb24", "image_1": "Perception/single/802b414e-caed-4372-a514-739d6f86fb24_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "691c62fd-4c54-4743-8ad2-8dfdbd6a89b0", "image_1": "Perception/single/691c62fd-4c54-4743-8ad2-8dfdbd6a89b0_0.png", "image_2": null, "question": "Does haze result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "40214f90-a9bc-4e53-a7b9-894168311fa2", "image_1": "Perception/single/40214f90-a9bc-4e53-a7b9-894168311fa2_0.png", "image_2": null, "question": "Does color distortion interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "73f42457-a372-4287-af04-306af25a45f3", "image_1": "Perception/single/73f42457-a372-4287-af04-306af25a45f3_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "4f38ec7a-c0b2-4baf-8f85-9b7e978c0060", "image_1": "Perception/single/4f38ec7a-c0b2-4baf-8f85-9b7e978c0060_0.png", "image_2": null, "question": "Does impulse noise compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "5b21a277-a4d8-4b75-9987-8b6325c9681d", "image_1": "Perception/single/5b21a277-a4d8-4b75-9987-8b6325c9681d_0.png", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "6d4681bb-3083-4653-8cb5-038da253bd50", "image_1": "Perception/single/6d4681bb-3083-4653-8cb5-038da253bd50_0.png", "image_2": null, "question": "Is motion blur the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "db54c67e-7578-4449-aee8-0a4bf882e0e1", "image_1": "Perception/single/db54c67e-7578-4449-aee8-0a4bf882e0e1_0.png", "image_2": null, "question": "Does the image exhibit color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "f6523fbb-2899-4238-867d-47f03b406bda", "image_1": "Perception/single/f6523fbb-2899-4238-867d-47f03b406bda_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e3ec8590-095a-42b0-8cde-28805c78b28b", "image_1": "Perception/single/e3ec8590-095a-42b0-8cde-28805c78b28b_0.png", "image_2": null, "question": "Is haze a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a64480b5-30eb-494f-932c-4eedafabe766", "image_1": "Perception/single/a64480b5-30eb-494f-932c-4eedafabe766_0.png", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "0d8d0b40-d1fc-455e-a2ae-eea66c4501fb", "image_1": "Perception/single/0d8d0b40-d1fc-455e-a2ae-eea66c4501fb_0.png", "image_2": null, "question": "Does cloud interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "b31cc068-9186-4724-b8af-ec1ffa25f28b", "image_1": "Perception/single/b31cc068-9186-4724-b8af-ec1ffa25f28b_0.png", "image_2": null, "question": "Does dead pixel reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "056e3aa5-958f-49f9-8964-00d76f117326", "image_1": "Perception/single/056e3aa5-958f-49f9-8964-00d76f117326_0.png", "image_2": null, "question": "Does color distortion compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "08d8fc04-f63d-43a9-a00d-4e1176b5efd4", "image_1": "Perception/single/08d8fc04-f63d-43a9-a00d-4e1176b5efd4_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "77512d61-6f1c-458a-9b02-57b780b6b55d", "image_1": "Perception/single/77512d61-6f1c-458a-9b02-57b780b6b55d_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "55b4450f-6b52-499b-8bf8-f059b096487d", "image_1": "Perception/single/55b4450f-6b52-499b-8bf8-f059b096487d_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2857b903-2b6a-43af-92a1-a593b785f022", "image_1": "Perception/single/2857b903-2b6a-43af-92a1-a593b785f022_0.png", "image_2": null, "question": "Does color distortion lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "026c9611-1baa-43f4-8452-783d3004e333", "image_1": "Perception/single/026c9611-1baa-43f4-8452-783d3004e333_0.png", "image_2": null, "question": "Is color distortion the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "0fbb1797-7483-46db-9470-cd14f137463f", "image_1": "Perception/single/0fbb1797-7483-46db-9470-cd14f137463f_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "64ac9915-1dc7-4505-8c49-db46f5b53de7", "image_1": "Perception/single/64ac9915-1dc7-4505-8c49-db46f5b53de7_0.png", "image_2": null, "question": "Is haze visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "589d2a1e-4cc3-419f-9a89-c38f0928c63e", "image_1": "Perception/single/589d2a1e-4cc3-419f-9a89-c38f0928c63e_0.png", "image_2": null, "question": "Does color distortion reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "2217b586-f551-49cb-b75e-193c78443cbb", "image_1": "Perception/single/2217b586-f551-49cb-b75e-193c78443cbb_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "2940ef7d-f4ee-44e7-b4be-c180a4a6f11a", "image_1": "Perception/single/2940ef7d-f4ee-44e7-b4be-c180a4a6f11a_0.png", "image_2": null, "question": "Is image stretching visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c296002f-6882-48e5-9fc2-29ed2143db05", "image_1": "Perception/single/c296002f-6882-48e5-9fc2-29ed2143db05_0.png", "image_2": null, "question": "Does color distortion compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "0eead0eb-563f-4a27-ae8b-89bbd3eabcee", "image_1": "Perception/single/0eead0eb-563f-4a27-ae8b-89bbd3eabcee_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "97593f69-659d-4bde-ab0a-41c9faf81199", "image_1": "Perception/single/97593f69-659d-4bde-ab0a-41c9faf81199_0.png", "image_2": null, "question": "Does color distortion compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "ed452cc7-c010-479b-80e5-af6ddbcdeb2c", "image_1": "Perception/single/ed452cc7-c010-479b-80e5-af6ddbcdeb2c_0.png", "image_2": null, "question": "Is color distortion a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a7201f57-23ec-4f87-adf8-27f001971606", "image_1": "Perception/single/a7201f57-23ec-4f87-adf8-27f001971606_0.png", "image_2": null, "question": "Is color distortion a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6f3e8a7e-331c-4556-a883-8561e86d8e8d", "image_1": "Perception/single/6f3e8a7e-331c-4556-a883-8561e86d8e8d_0.png", "image_2": null, "question": "Can impulse noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1c7c2e42-23c4-4b39-acc7-40eb1828ce3e", "image_1": "Perception/single/1c7c2e42-23c4-4b39-acc7-40eb1828ce3e_0.png", "image_2": null, "question": "Is deadline noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0b8df626-694e-4e72-b091-2d93352bdecd", "image_1": "Perception/single/0b8df626-694e-4e72-b091-2d93352bdecd_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "B"}
{"id": "d62d8837-93ba-4834-a5d2-660945f75efd", "image_1": "Perception/single/d62d8837-93ba-4834-a5d2-660945f75efd_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "90500f1e-9876-41df-899c-9a5f607f4ec9", "image_1": "Perception/single/90500f1e-9876-41df-899c-9a5f607f4ec9_0.png", "image_2": null, "question": "Is color distortion the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "f4698913-dca1-458a-a45e-68b82c7cb7c3", "image_1": "Perception/single/f4698913-dca1-458a-a45e-68b82c7cb7c3_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "2aff0107-77dd-4114-a9da-46c569aff4ea", "image_1": "Perception/single/2aff0107-77dd-4114-a9da-46c569aff4ea_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "273ca6ca-a47c-4c8c-bdb2-77096a425b63", "image_1": "Perception/single/273ca6ca-a47c-4c8c-bdb2-77096a425b63_0.png", "image_2": null, "question": "Does the image exhibit color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "b8106e67-65e8-4e88-812d-3574cef7e308", "image_1": "Perception/single/b8106e67-65e8-4e88-812d-3574cef7e308_0.png", "image_2": null, "question": "Is color distortion the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "9ff43822-6a70-449b-9fe4-503274bc3eb6", "image_1": "Perception/single/9ff43822-6a70-449b-9fe4-503274bc3eb6_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "efbf6659-6e9e-4a27-81f0-e5fd47a61647", "image_1": "Perception/single/efbf6659-6e9e-4a27-81f0-e5fd47a61647_0.png", "image_2": null, "question": "Is the image impacted by missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "c0711738-f7ef-4658-bbc4-73b7f76906f6", "image_1": "Perception/single/c0711738-f7ef-4658-bbc4-73b7f76906f6_0.png", "image_2": null, "question": "Does this image contain motion blur?\nA.Yes\nB.No", "answer": "B"}
{"id": "7b7546bb-d1fb-4f02-a4fa-a54444467099", "image_1": "Perception/single/7b7546bb-d1fb-4f02-a4fa-a54444467099_0.png", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "4ddb7978-a6fa-4b6f-bfb6-41e8f171f24f", "image_1": "Perception/single/4ddb7978-a6fa-4b6f-bfb6-41e8f171f24f_0.png", "image_2": null, "question": "Is color distortion a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "02eb5f34-711b-4c4f-a30d-cf9d8f4b0835", "image_1": "Perception/single/02eb5f34-711b-4c4f-a30d-cf9d8f4b0835_0.png", "image_2": null, "question": "Does color distortion obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "d578eb8c-f03c-4354-802f-1f2367824fae", "image_1": "Perception/single/d578eb8c-f03c-4354-802f-1f2367824fae_0.png", "image_2": null, "question": "Is image stretching a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "6206fcfa-530f-454d-8c01-6bb796986a25", "image_1": "Perception/single/6206fcfa-530f-454d-8c01-6bb796986a25_0.png", "image_2": null, "question": "Is gaussian blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "11d31937-815c-4875-8d7c-a9ba5fb6792b", "image_1": "Perception/single/11d31937-815c-4875-8d7c-a9ba5fb6792b_0.png", "image_2": null, "question": "Is color distortion a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "9caaae4a-6702-4fbb-82a8-374d6f334123", "image_1": "Perception/single/9caaae4a-6702-4fbb-82a8-374d6f334123_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2f959386-13b4-4e06-905d-8c4395c1f4ef", "image_1": "Perception/single/2f959386-13b4-4e06-905d-8c4395c1f4ef_0.png", "image_2": null, "question": "Is the image impacted by color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "5db65431-32e1-4fca-ad96-fa8d5ea7ee31", "image_1": "Perception/single/5db65431-32e1-4fca-ad96-fa8d5ea7ee31_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "8d26fe90-690f-4797-ada9-e2e7be2bf03d", "image_1": "Perception/single/8d26fe90-690f-4797-ada9-e2e7be2bf03d_0.png", "image_2": null, "question": "Does missing tiles lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "dec2d3d0-2e4a-4c0e-ab72-8a90fc454d3e", "image_1": "Perception/single/dec2d3d0-2e4a-4c0e-ab72-8a90fc454d3e_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "0ab479fc-0fa5-4f44-9084-f9d7e1e2ec06", "image_1": "Perception/single/0ab479fc-0fa5-4f44-9084-f9d7e1e2ec06_0.png", "image_2": null, "question": "Is color distortion visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "9ec508d9-edc8-4e38-9523-c78891b19848", "image_1": "Perception/single/9ec508d9-edc8-4e38-9523-c78891b19848_0.png", "image_2": null, "question": "Is the image impacted by color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "385b288d-5045-4d80-bd49-c6bd11d1a864", "image_1": "Perception/single/385b288d-5045-4d80-bd49-c6bd11d1a864_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "20f70435-30e2-42b4-a498-c870c17ef0fa", "image_1": "Perception/single/20f70435-30e2-42b4-a498-c870c17ef0fa_0.png", "image_2": null, "question": "Is impulse noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "06a80fa0-25c2-4ba2-a2d1-fdbfdf64ae75", "image_1": "Perception/single/06a80fa0-25c2-4ba2-a2d1-fdbfdf64ae75_0.png", "image_2": null, "question": "Is color distortion the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "825ad345-9bb3-4a96-b585-07a8447a61a3", "image_1": "Perception/single/825ad345-9bb3-4a96-b585-07a8447a61a3_0.png", "image_2": null, "question": "Is color distortion the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "d38c0351-f285-4f38-b948-295f2335bfc9", "image_1": "Perception/single/d38c0351-f285-4f38-b948-295f2335bfc9_0.png", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "ecd99908-30b3-4649-aa42-2ba2c9095a9d", "image_1": "Perception/single/ecd99908-30b3-4649-aa42-2ba2c9095a9d_0.png", "image_2": null, "question": "Is cloud the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "d06f6b02-4d6b-40c9-8e08-648b17f4077e", "image_1": "Perception/single/d06f6b02-4d6b-40c9-8e08-648b17f4077e_0.png", "image_2": null, "question": "Can color distortion be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6ac17b8d-75eb-4f7d-b084-661ca71ccfa3", "image_1": "Perception/single/6ac17b8d-75eb-4f7d-b084-661ca71ccfa3_0.png", "image_2": null, "question": "Can color distortion be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "3f135a19-596e-4c58-a34f-f9c29b270abb", "image_1": "Perception/single/3f135a19-596e-4c58-a34f-f9c29b270abb_0.png", "image_2": null, "question": "Is color distortion a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c5381d70-3bb5-45d5-ae04-0915e3a2d179", "image_1": "Perception/single/c5381d70-3bb5-45d5-ae04-0915e3a2d179_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "39112955-ccc6-4771-aa62-414d9fabe51d", "image_1": "Perception/single/39112955-ccc6-4771-aa62-414d9fabe51d_0.png", "image_2": null, "question": "Is color distortion responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "92757896-ffa5-4f69-83d2-740e39d70cf1", "image_1": "Perception/single/92757896-ffa5-4f69-83d2-740e39d70cf1_0.png", "image_2": null, "question": "Is color distortion the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "224dfa1d-62f5-432d-a152-12ea8a3dfc82", "image_1": "Perception/single/224dfa1d-62f5-432d-a152-12ea8a3dfc82_0.png", "image_2": null, "question": "Does color distortion interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "f982384b-ead2-4e76-863e-54b67a9ce9d3", "image_1": "Perception/single/f982384b-ead2-4e76-863e-54b67a9ce9d3_0.png", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "ab5a8a8a-bc44-4bc5-ab79-84ccd33b7e26", "image_1": "Perception/single/ab5a8a8a-bc44-4bc5-ab79-84ccd33b7e26_0.png", "image_2": null, "question": "Is color distortion responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "088b0c59-4915-4caf-ae72-f1a79552bf9c", "image_1": "Perception/single/088b0c59-4915-4caf-ae72-f1a79552bf9c_0.png", "image_2": null, "question": "Is color distortion present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "5756feac-8d15-43af-916c-9ee9ff9f522e", "image_1": "Perception/single/5756feac-8d15-43af-916c-9ee9ff9f522e_0.png", "image_2": null, "question": "Is dead pixel a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a37e8bd7-de4b-41ea-a87a-acc058509871", "image_1": "Perception/single/a37e8bd7-de4b-41ea-a87a-acc058509871_0.png", "image_2": null, "question": "Can color distortion be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a2df76c2-c969-4b82-b27d-9729fab5ee40", "image_1": "Perception/single/a2df76c2-c969-4b82-b27d-9729fab5ee40_0.png", "image_2": null, "question": "Does color distortion result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "80c2e37f-9c14-4e35-8ace-a83685418251", "image_1": "Perception/single/80c2e37f-9c14-4e35-8ace-a83685418251_0.png", "image_2": null, "question": "Is color distortion a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6d4798d5-7747-4f79-b5da-aa2449107b0a", "image_1": "Perception/single/6d4798d5-7747-4f79-b5da-aa2449107b0a_0.png", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "aee41e44-8459-494c-8e2d-2d921a903c88", "image_1": "Perception/single/aee41e44-8459-494c-8e2d-2d921a903c88_0.png", "image_2": null, "question": "Is there color distortion present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "faeb7e9e-21fa-4af5-8771-cc694cb5f722", "image_1": "Perception/single/faeb7e9e-21fa-4af5-8771-cc694cb5f722_0.png", "image_2": null, "question": "Does color distortion obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "e311a54c-12af-46ae-a959-cd8322d5ec4d", "image_1": "Perception/single/e311a54c-12af-46ae-a959-cd8322d5ec4d_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "ef8d4783-9ec1-41d0-992e-4d15619012dc", "image_1": "Perception/single/ef8d4783-9ec1-41d0-992e-4d15619012dc_0.png", "image_2": null, "question": "Does color distortion obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "3bf64913-4f57-42f6-87a6-d483b08033b9", "image_1": "Perception/single/3bf64913-4f57-42f6-87a6-d483b08033b9_0.png", "image_2": null, "question": "Is color distortion the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "c0261b95-107f-43d1-bf0f-e3ea6fd0f4eb", "image_1": "Perception/single/c0261b95-107f-43d1-bf0f-e3ea6fd0f4eb_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "24102f9b-4ccb-427b-9c44-1ec202efb912", "image_1": "Perception/single/24102f9b-4ccb-427b-9c44-1ec202efb912_0.png", "image_2": null, "question": "Can color distortion be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "63022be8-023f-49b5-bae4-026bb41e64e8", "image_1": "Perception/single/63022be8-023f-49b5-bae4-026bb41e64e8_0.png", "image_2": null, "question": "Can deadline noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "27bacdc9-8c74-4279-8957-4e0186e88ef8", "image_1": "Perception/single/27bacdc9-8c74-4279-8957-4e0186e88ef8_0.png", "image_2": null, "question": "Can color distortion be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6d5779c4-74dc-41d7-91bc-d5eb807149a3", "image_1": "Perception/single/6d5779c4-74dc-41d7-91bc-d5eb807149a3_0.png", "image_2": null, "question": "Is color distortion a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b329e058-9d8e-4993-87d9-5accede8fd22", "image_1": "Perception/single/b329e058-9d8e-4993-87d9-5accede8fd22_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "3e4658ce-ec45-4eb6-8ae8-9f00092066e3", "image_1": "Perception/single/3e4658ce-ec45-4eb6-8ae8-9f00092066e3_0.png", "image_2": null, "question": "Is color distortion a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b10dd35e-2d2b-4c6f-ab21-5efc6f5ecee9", "image_1": "Perception/single/b10dd35e-2d2b-4c6f-ab21-5efc6f5ecee9_0.png", "image_2": null, "question": "Is color distortion visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "345920a9-1259-4272-8408-681ef8219c8a", "image_1": "Perception/single/345920a9-1259-4272-8408-681ef8219c8a_0.png", "image_2": null, "question": "Is color distortion responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ff0cbc8c-b1a3-44f3-9929-44b385589a46", "image_1": "Perception/single/ff0cbc8c-b1a3-44f3-9929-44b385589a46_0.png", "image_2": null, "question": "Does color distortion obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "8748115f-9934-4518-b5f8-7b035dd406f9", "image_1": "Perception/single/8748115f-9934-4518-b5f8-7b035dd406f9_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "10253bf6-5571-463a-8550-ab07ca146555", "image_1": "Perception/single/10253bf6-5571-463a-8550-ab07ca146555_0.png", "image_2": null, "question": "Does color distortion interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "ee93a4a1-4581-40a5-9b9b-c935726d43c2", "image_1": "Perception/single/ee93a4a1-4581-40a5-9b9b-c935726d43c2_0.png", "image_2": null, "question": "Does color distortion lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "e514d66e-a305-4263-9ee2-711de3f40d49", "image_1": "Perception/single/e514d66e-a305-4263-9ee2-711de3f40d49_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a5b39446-1c1a-45e3-be53-33aabcd1a3d1", "image_1": "Perception/single/a5b39446-1c1a-45e3-be53-33aabcd1a3d1_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "cdbcefc7-0dec-49d5-91ab-940e3f0eb09a", "image_1": "Perception/single/cdbcefc7-0dec-49d5-91ab-940e3f0eb09a_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "2e9e1c5e-5422-47fb-89eb-87f833391e47", "image_1": "Perception/single/2e9e1c5e-5422-47fb-89eb-87f833391e47_0.png", "image_2": null, "question": "Is there color distortion present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "def0d2c9-0a90-4268-b9c7-6f9cf92044af", "image_1": "Perception/single/def0d2c9-0a90-4268-b9c7-6f9cf92044af_0.png", "image_2": null, "question": "Does image compression interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "6bfab466-83a6-445c-8a5c-905c3035c92f", "image_1": "Perception/single/6bfab466-83a6-445c-8a5c-905c3035c92f_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "da3135b5-2509-4303-8ce2-93054b5abdeb", "image_1": "Perception/single/da3135b5-2509-4303-8ce2-93054b5abdeb_0.png", "image_2": null, "question": "Does stripe noise result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "16a657d7-27f9-4846-98ca-71c5fe3af625", "image_1": "Perception/single/16a657d7-27f9-4846-98ca-71c5fe3af625_0.png", "image_2": null, "question": "Is color distortion the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "9ce31444-2b15-4062-83cf-dda15bac1f91", "image_1": "Perception/single/9ce31444-2b15-4062-83cf-dda15bac1f91_0.png", "image_2": null, "question": "Is color distortion a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d2a5cf3f-e654-420f-8213-a8a51fe1150e", "image_1": "Perception/single/d2a5cf3f-e654-420f-8213-a8a51fe1150e_0.png", "image_2": null, "question": "Is dead pixel apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "63ddbb11-d58b-4004-a8dd-f07b71e98c9d", "image_1": "Perception/single/63ddbb11-d58b-4004-a8dd-f07b71e98c9d_0.png", "image_2": null, "question": "Does cloud reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "bd851bce-2401-4b5f-b0bf-090a0411d4be", "image_1": "Perception/single/bd851bce-2401-4b5f-b0bf-090a0411d4be_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "b8c6c387-719d-44bd-a91a-e5a174d6d841", "image_1": "Perception/single/b8c6c387-719d-44bd-a91a-e5a174d6d841_0.png", "image_2": null, "question": "Does the image exhibit color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "366b6030-2f5f-478e-80da-d23306007381", "image_1": "Perception/single/366b6030-2f5f-478e-80da-d23306007381_0.png", "image_2": null, "question": "Does color distortion obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "1f303f4e-d41a-41dc-aad5-6893b03afa38", "image_1": "Perception/single/1f303f4e-d41a-41dc-aad5-6893b03afa38_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d31236c6-b7fd-4c41-b021-67743067aa13", "image_1": "Perception/single/d31236c6-b7fd-4c41-b021-67743067aa13_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "4f3842be-e919-4b9b-a4e8-e3d04ec1ec2d", "image_1": "Perception/single/4f3842be-e919-4b9b-a4e8-e3d04ec1ec2d_0.png", "image_2": null, "question": "Does haze result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "831ac6f9-99e0-41c2-ab66-57a00229c6d4", "image_1": "Perception/single/831ac6f9-99e0-41c2-ab66-57a00229c6d4_0.png", "image_2": null, "question": "Can cloud be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "262fb2bf-e167-4c56-9a28-5a91cc48b6a9", "image_1": "Perception/single/262fb2bf-e167-4c56-9a28-5a91cc48b6a9_0.png", "image_2": null, "question": "Does color distortion obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "8a78569a-61b5-4888-9cd8-be82f83d5974", "image_1": "Perception/single/8a78569a-61b5-4888-9cd8-be82f83d5974_0.png", "image_2": null, "question": "Does impulse noise compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "6381cdcb-3411-49b1-8e26-a226e62c8eca", "image_1": "Perception/single/6381cdcb-3411-49b1-8e26-a226e62c8eca_0.png", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "fc30a0b0-65ba-4bcc-87af-33940ba8f957", "image_1": "Perception/single/fc30a0b0-65ba-4bcc-87af-33940ba8f957_0.png", "image_2": null, "question": "Is motion blur the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "5076a974-c8b3-4d61-a734-f53e8eae878c", "image_1": "Perception/single/5076a974-c8b3-4d61-a734-f53e8eae878c_0.png", "image_2": null, "question": "Is impulse noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "fff1a3a6-2c74-4d5d-9d2f-bc5a43ea8b12", "image_1": "Perception/single/fff1a3a6-2c74-4d5d-9d2f-bc5a43ea8b12_0.png", "image_2": null, "question": "Is the image impacted by color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "eb0d25a9-9d30-41f2-a82f-8dc493e6ac3f", "image_1": "Perception/single/eb0d25a9-9d30-41f2-a82f-8dc493e6ac3f_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "a895fc4b-83e3-4efc-a5ac-f60e59f3d06f", "image_1": "Perception/single/a895fc4b-83e3-4efc-a5ac-f60e59f3d06f_0.png", "image_2": null, "question": "Does cloud interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "8601554b-1f8d-4e79-b03a-1a13ed7079de", "image_1": "Perception/single/8601554b-1f8d-4e79-b03a-1a13ed7079de_0.png", "image_2": null, "question": "Does dead pixel reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "b30be7df-31f9-4e06-af87-0912f34ca19b", "image_1": "Perception/single/b30be7df-31f9-4e06-af87-0912f34ca19b_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "e3d585a0-c180-44c4-8cc5-5f058c549461", "image_1": "Perception/single/e3d585a0-c180-44c4-8cc5-5f058c549461_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "B"}
{"id": "f4791e69-ca60-4672-9a9a-d13b05eb99e1", "image_1": "Perception/single/f4791e69-ca60-4672-9a9a-d13b05eb99e1_0.png", "image_2": null, "question": "Is color distortion the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "d7845591-d9bb-45c1-b678-41300e06a33b", "image_1": "Perception/single/d7845591-d9bb-45c1-b678-41300e06a33b_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "5f750b56-e6cd-4294-895b-6482de3be3ee", "image_1": "Perception/single/5f750b56-e6cd-4294-895b-6482de3be3ee_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "491e3a75-983d-4217-9b74-27f331581be4", "image_1": "Perception/single/491e3a75-983d-4217-9b74-27f331581be4_0.png", "image_2": null, "question": "Is color distortion the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "da8c305d-5044-4bfa-8399-3d4fde05ddea", "image_1": "Perception/single/da8c305d-5044-4bfa-8399-3d4fde05ddea_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "30ec7b79-2b8b-463f-934a-a938ea5a1647", "image_1": "Perception/single/30ec7b79-2b8b-463f-934a-a938ea5a1647_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ced430e5-7645-4085-877a-6ab65bcd1afa", "image_1": "Perception/single/ced430e5-7645-4085-877a-6ab65bcd1afa_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "46f11119-0678-40c1-ba75-52c9af5914a4", "image_1": "Perception/single/46f11119-0678-40c1-ba75-52c9af5914a4_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "d9426063-f226-4052-9d7e-a19c72189fe9", "image_1": "Perception/single/d9426063-f226-4052-9d7e-a19c72189fe9_0.png", "image_2": null, "question": "Is color distortion visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b849e641-9fdf-4654-a8bd-17ac49cd63cc", "image_1": "Perception/single/b849e641-9fdf-4654-a8bd-17ac49cd63cc_0.png", "image_2": null, "question": "Does color distortion compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "a9639a0b-fe40-40a3-b6a5-a3385aeda050", "image_1": "Perception/single/a9639a0b-fe40-40a3-b6a5-a3385aeda050_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "888c982d-cb1f-4ba5-a793-746d4a7afdb0", "image_1": "Perception/single/888c982d-cb1f-4ba5-a793-746d4a7afdb0_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "b6fb4b7f-8af7-4c19-830d-f276a15f4498", "image_1": "Perception/single/b6fb4b7f-8af7-4c19-830d-f276a15f4498_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "6b787002-ec28-4302-837e-df51feaea3d4", "image_1": "Perception/single/6b787002-ec28-4302-837e-df51feaea3d4_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "90d98be9-368f-4b53-810d-4ee4944a8814", "image_1": "Perception/single/90d98be9-368f-4b53-810d-4ee4944a8814_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "6fb4de58-a71a-42bc-9f3e-1a27bd80d2eb", "image_1": "Perception/single/6fb4de58-a71a-42bc-9f3e-1a27bd80d2eb_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "8b31f04d-c1ad-4929-a8b5-fec2fe3fb9af", "image_1": "Perception/single/8b31f04d-c1ad-4929-a8b5-fec2fe3fb9af_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "35ff9854-e652-403e-ba0e-8181eb2d47b9", "image_1": "Perception/single/35ff9854-e652-403e-ba0e-8181eb2d47b9_0.png", "image_2": null, "question": "Is the image impacted by missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "b8a8d664-f33c-4003-9d0c-b321c33a5bd2", "image_1": "Perception/single/b8a8d664-f33c-4003-9d0c-b321c33a5bd2_0.png", "image_2": null, "question": "Is there image stretching present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "874e93ff-bb5b-4ff4-9333-9307230d5298", "image_1": "Perception/single/874e93ff-bb5b-4ff4-9333-9307230d5298_0.png", "image_2": null, "question": "Does gaussian blur affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "0de59965-6760-42a1-ba58-d74194cdf24a", "image_1": "Perception/single/0de59965-6760-42a1-ba58-d74194cdf24a_0.png", "image_2": null, "question": "Does stripe noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "65188571-9268-4bd8-b161-565bf0a901ef", "image_1": "Perception/single/65188571-9268-4bd8-b161-565bf0a901ef_0.png", "image_2": null, "question": "Is image stretching a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "288c3c09-a453-41c1-a448-baa481a07fcf", "image_1": "Perception/single/288c3c09-a453-41c1-a448-baa481a07fcf_0.png", "image_2": null, "question": "Is gaussian blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "9d5d86fc-1adf-4cff-b827-db459d39be85", "image_1": "Perception/single/9d5d86fc-1adf-4cff-b827-db459d39be85_0.png", "image_2": null, "question": "Is stripe noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "fba93d51-43df-4266-aa5c-b0fe589e2d43", "image_1": "Perception/single/fba93d51-43df-4266-aa5c-b0fe589e2d43_0.png", "image_2": null, "question": "Does haze obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "898d265d-51be-4c8c-8922-5d3ff1b152ca", "image_1": "Perception/single/898d265d-51be-4c8c-8922-5d3ff1b152ca_0.png", "image_2": null, "question": "Does image stretching reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d2a60ebb-82c7-4b04-a93f-c74df14c4600", "image_1": "Perception/single/d2a60ebb-82c7-4b04-a93f-c74df14c4600_0.png", "image_2": null, "question": "Does missing tiles lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "48ee3b08-2475-44e9-9144-368dd9d1f4d0", "image_1": "Perception/single/48ee3b08-2475-44e9-9144-368dd9d1f4d0_0.png", "image_2": null, "question": "Is gaussian blur visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ff9f7eff-95f0-42df-9ba2-6161c0b06b27", "image_1": "Perception/single/ff9f7eff-95f0-42df-9ba2-6161c0b06b27_0.png", "image_2": null, "question": "Is haze the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "8ccde546-147f-4e69-93c4-f65c46ef81b5", "image_1": "Perception/single/8ccde546-147f-4e69-93c4-f65c46ef81b5_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "a5c01e43-6379-4353-9635-7fe8e268fbcf", "image_1": "Perception/single/a5c01e43-6379-4353-9635-7fe8e268fbcf_0.png", "image_2": null, "question": "Is impulse noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1525c3e7-2592-438d-9868-878bd2517485", "image_1": "Perception/single/1525c3e7-2592-438d-9868-878bd2517485_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "99839b71-163d-401e-958e-d31fd439e607", "image_1": "Perception/single/99839b71-163d-401e-958e-d31fd439e607_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "3d7d5e7c-a5ed-4904-ab1c-820f5631b5bd", "image_1": "Perception/single/3d7d5e7c-a5ed-4904-ab1c-820f5631b5bd_0.png", "image_2": null, "question": "Is cloud the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "baf60d5b-fafb-4f96-9bb9-11a090a4c36f", "image_1": "Perception/single/baf60d5b-fafb-4f96-9bb9-11a090a4c36f_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "012df645-84f2-4533-bc8d-155039e33079", "image_1": "Perception/single/012df645-84f2-4533-bc8d-155039e33079_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "31ab9404-a660-46a6-bbb9-52ac62ec582d", "image_1": "Perception/single/31ab9404-a660-46a6-bbb9-52ac62ec582d_0.png", "image_2": null, "question": "Does motion blur reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ab13f1f6-c6d4-4e3f-94a0-70463824203e", "image_1": "Perception/single/ab13f1f6-c6d4-4e3f-94a0-70463824203e_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "a9f94c25-d03f-47a4-aa04-1bb668c49837", "image_1": "Perception/single/a9f94c25-d03f-47a4-aa04-1bb668c49837_0.png", "image_2": null, "question": "Does image stretching interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "80e3a137-a27a-40cf-92e4-158d7b7cb99d", "image_1": "Perception/single/80e3a137-a27a-40cf-92e4-158d7b7cb99d_0.png", "image_2": null, "question": "Is gaussian noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "60ef679e-b7db-4f06-9316-51c03f62f0da", "image_1": "Perception/single/60ef679e-b7db-4f06-9316-51c03f62f0da_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0530b311-35ec-446a-bde2-84840be734de", "image_1": "Perception/single/0530b311-35ec-446a-bde2-84840be734de_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "a5c80e10-59cd-4f8b-9f1a-47d77a614b9e", "image_1": "Perception/single/a5c80e10-59cd-4f8b-9f1a-47d77a614b9e_0.png", "image_2": null, "question": "Is image stretching a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ceb41482-bb01-4072-b789-731a494326a3", "image_1": "Perception/single/ceb41482-bb01-4072-b789-731a494326a3_0.png", "image_2": null, "question": "Is there gaussian noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "8804070f-27cc-4b7e-840b-10fa98db9c47", "image_1": "Perception/single/8804070f-27cc-4b7e-840b-10fa98db9c47_0.png", "image_2": null, "question": "Is image compression present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "a106957e-e06f-4eff-b2b2-976a6220afd4", "image_1": "Perception/single/a106957e-e06f-4eff-b2b2-976a6220afd4_0.png", "image_2": null, "question": "Does gaussian noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "d8d88b3d-f94a-40f1-ba06-4b134ad97e51", "image_1": "Perception/single/d8d88b3d-f94a-40f1-ba06-4b134ad97e51_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "56287092-7a54-4e74-91b7-ca37d8e5894b", "image_1": "Perception/single/56287092-7a54-4e74-91b7-ca37d8e5894b_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "328a9158-9dd8-4298-82e0-bf1e9e4040c8", "image_1": "Perception/single/328a9158-9dd8-4298-82e0-bf1e9e4040c8_0.png", "image_2": null, "question": "Does image stretching reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "f701ed26-3384-46eb-bff4-e64e2caca65a", "image_1": "Perception/single/f701ed26-3384-46eb-bff4-e64e2caca65a_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2fdac34d-51ad-4bb4-84bd-183e6e81650d", "image_1": "Perception/single/2fdac34d-51ad-4bb4-84bd-183e6e81650d_0.png", "image_2": null, "question": "Is image stretching visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "9298e36d-40ac-4419-9d94-b91e2f801cfb", "image_1": "Perception/single/9298e36d-40ac-4419-9d94-b91e2f801cfb_0.png", "image_2": null, "question": "Can image stretching be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "5a211e2b-90f3-4165-bfaa-3a6fd19c015d", "image_1": "Perception/single/5a211e2b-90f3-4165-bfaa-3a6fd19c015d_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c5294e21-cecb-42c8-8899-430cfabcb85f", "image_1": "Perception/single/c5294e21-cecb-42c8-8899-430cfabcb85f_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "6f3bc96a-c77b-4c05-ba3d-03173933409c", "image_1": "Perception/single/6f3bc96a-c77b-4c05-ba3d-03173933409c_0.png", "image_2": null, "question": "Is image stretching a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "1639d4e3-8199-4548-851d-ddc21441717a", "image_1": "Perception/single/1639d4e3-8199-4548-851d-ddc21441717a_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "78b3002d-78ea-41fa-9271-df532885e936", "image_1": "Perception/single/78b3002d-78ea-41fa-9271-df532885e936_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "04f3c85c-d46f-4833-8063-4dce75011c84", "image_1": "Perception/single/04f3c85c-d46f-4833-8063-4dce75011c84_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "7d7fc5d5-ac41-4440-9266-adab1d87b113", "image_1": "Perception/single/7d7fc5d5-ac41-4440-9266-adab1d87b113_0.png", "image_2": null, "question": "Does image stretching reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "cf99cd13-1394-4713-b384-61930e968695", "image_1": "Perception/single/cf99cd13-1394-4713-b384-61930e968695_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "70631f98-17cf-4936-a02e-965e7c4d303a", "image_1": "Perception/single/70631f98-17cf-4936-a02e-965e7c4d303a_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "4410f65e-5f3e-4536-be0c-544add736676", "image_1": "Perception/single/4410f65e-5f3e-4536-be0c-544add736676_0.png", "image_2": null, "question": "Does image stretching obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "fcf99489-ec60-4595-a3a9-856473ced138", "image_1": "Perception/single/fcf99489-ec60-4595-a3a9-856473ced138_0.png", "image_2": null, "question": "Is image stretching the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "b39ecd00-5b7e-4f0a-9a28-ad4b984ea1c0", "image_1": "Perception/single/b39ecd00-5b7e-4f0a-9a28-ad4b984ea1c0_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "a8b2f7c1-9c67-4dd1-b045-2173737a0fb5", "image_1": "Perception/single/a8b2f7c1-9c67-4dd1-b045-2173737a0fb5_0.png", "image_2": null, "question": "Is motion blur the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "5e4d5ce2-4925-4762-b1ac-1bac39c8db19", "image_1": "Perception/single/5e4d5ce2-4925-4762-b1ac-1bac39c8db19_0.png", "image_2": null, "question": "Does image stretching interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "55bcd9dd-72d5-4532-a234-2166849949e1", "image_1": "Perception/single/55bcd9dd-72d5-4532-a234-2166849949e1_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "329d537c-271e-4b04-b16d-5b5bd43ca542", "image_1": "Perception/single/329d537c-271e-4b04-b16d-5b5bd43ca542_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "3163f099-88e3-4646-8db3-7566c9c1e29f", "image_1": "Perception/single/3163f099-88e3-4646-8db3-7566c9c1e29f_0.png", "image_2": null, "question": "Does stripe noise result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "f49f5f8c-636d-4e81-8f74-628ad40f8eb3", "image_1": "Perception/single/f49f5f8c-636d-4e81-8f74-628ad40f8eb3_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "bc908b3e-0abd-4917-ad5e-93326f5bd034", "image_1": "Perception/single/bc908b3e-0abd-4917-ad5e-93326f5bd034_0.png", "image_2": null, "question": "Is dead pixel apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "1d8950b4-f171-4ffd-a40a-ee1f12b7de99", "image_1": "Perception/single/1d8950b4-f171-4ffd-a40a-ee1f12b7de99_0.png", "image_2": null, "question": "Does cloud reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4a9ce2d0-2218-40a9-b80e-747b761c9ff9", "image_1": "Perception/single/4a9ce2d0-2218-40a9-b80e-747b761c9ff9_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "f6435717-7760-4e39-b81f-3277a353ee44", "image_1": "Perception/single/f6435717-7760-4e39-b81f-3277a353ee44_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "9301b854-ed33-4168-ba56-d93b76fa7533", "image_1": "Perception/single/9301b854-ed33-4168-ba56-d93b76fa7533_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ff43e0a2-a7eb-40fa-8d9c-bcd041d7da2a", "image_1": "Perception/single/ff43e0a2-a7eb-40fa-8d9c-bcd041d7da2a_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "bbea0a24-00b2-4867-abb6-fbe8d8a1523a", "image_1": "Perception/single/bbea0a24-00b2-4867-abb6-fbe8d8a1523a_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "efd82306-66c7-4099-9036-b0538630ddd8", "image_1": "Perception/single/efd82306-66c7-4099-9036-b0538630ddd8_0.png", "image_2": null, "question": "Does haze result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "f8c70820-60c7-45c6-8740-4b126bc00c52", "image_1": "Perception/single/f8c70820-60c7-45c6-8740-4b126bc00c52_0.png", "image_2": null, "question": "Can cloud be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4fd98669-46b3-4e73-9d45-28d2803eab38", "image_1": "Perception/single/4fd98669-46b3-4e73-9d45-28d2803eab38_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "2f0adc7c-e65f-4078-9260-be1880e51413", "image_1": "Perception/single/2f0adc7c-e65f-4078-9260-be1880e51413_0.png", "image_2": null, "question": "Does image stretching compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "94e90b92-9f10-4efe-a145-3c4a27ce3f11", "image_1": "Perception/single/94e90b92-9f10-4efe-a145-3c4a27ce3f11_0.png", "image_2": null, "question": "Is image stretching apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "a2c5c77f-e692-47d1-9ca7-9f83c87f27e3", "image_1": "Perception/single/a2c5c77f-e692-47d1-9ca7-9f83c87f27e3_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "da9073bb-5ee1-4392-8294-d08b1c6ee21c", "image_1": "Perception/single/da9073bb-5ee1-4392-8294-d08b1c6ee21c_0.png", "image_2": null, "question": "Is there image stretching present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d741817c-2ef4-44e7-8d94-6dc2d06b9ec8", "image_1": "Perception/single/d741817c-2ef4-44e7-8d94-6dc2d06b9ec8_0.png", "image_2": null, "question": "Does the image exhibit spatially correlated noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "60cbb021-7456-460a-8156-cc66037def98", "image_1": "Perception/single/60cbb021-7456-460a-8156-cc66037def98_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4d8ad055-782e-42d8-92dc-4bf10a9e998b", "image_1": "Perception/single/4d8ad055-782e-42d8-92dc-4bf10a9e998b_0.png", "image_2": null, "question": "Is the image impacted by image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "9d0cb544-2cc3-478c-b783-592611fcc360", "image_1": "Perception/single/9d0cb544-2cc3-478c-b783-592611fcc360_0.png", "image_2": null, "question": "Is image stretching a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "883661f3-6083-42a6-9ccc-018ee59ce46f", "image_1": "Perception/single/883661f3-6083-42a6-9ccc-018ee59ce46f_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "16ab761e-d707-4f04-9234-d2f69bf5c462", "image_1": "Perception/single/16ab761e-d707-4f04-9234-d2f69bf5c462_0.png", "image_2": null, "question": "Does image stretching interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "c3ee6ed5-bee6-4741-bacf-5a13252491e5", "image_1": "Perception/single/c3ee6ed5-bee6-4741-bacf-5a13252491e5_0.png", "image_2": null, "question": "Does dead pixel reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "be614e63-2d48-4d61-a568-b8e68834a3b1", "image_1": "Perception/single/be614e63-2d48-4d61-a568-b8e68834a3b1_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "c1153742-509c-4eeb-a5f1-7a67dd6eaf84", "image_1": "Perception/single/c1153742-509c-4eeb-a5f1-7a67dd6eaf84_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "82ab0752-f33a-4a92-af5f-4ba2b84ce6f8", "image_1": "Perception/single/82ab0752-f33a-4a92-af5f-4ba2b84ce6f8_0.png", "image_2": null, "question": "Is gaussian blur the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "1fd7dab5-30c7-4a68-b2ed-a72c37d14f47", "image_1": "Perception/single/1fd7dab5-30c7-4a68-b2ed-a72c37d14f47_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "cad53dba-9f4f-4185-b392-5bc61e3f5466", "image_1": "Perception/single/cad53dba-9f4f-4185-b392-5bc61e3f5466_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "6f785ad7-5b95-472f-8e58-5ba3b68228b6", "image_1": "Perception/single/6f785ad7-5b95-472f-8e58-5ba3b68228b6_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "db1ca1bb-a576-434f-89b5-040c187b5a17", "image_1": "Perception/single/db1ca1bb-a576-434f-89b5-040c187b5a17_0.png", "image_2": null, "question": "Is haze visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "eca0f1e8-2c3a-4f01-9000-f2bad6066ff0", "image_1": "Perception/single/eca0f1e8-2c3a-4f01-9000-f2bad6066ff0_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "4e5960ca-7c89-4a32-afd1-61c29e0b9652", "image_1": "Perception/single/4e5960ca-7c89-4a32-afd1-61c29e0b9652_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "36ffd73c-f594-4d22-a7a5-037dfca937e5", "image_1": "Perception/single/36ffd73c-f594-4d22-a7a5-037dfca937e5_0.png", "image_2": null, "question": "Does deadline noise compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "ebc29d67-02e5-4430-b00a-4af752e1fdf6", "image_1": "Perception/single/ebc29d67-02e5-4430-b00a-4af752e1fdf6_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "f6e6f8d9-8afa-4a19-9c85-23658c0dab5d", "image_1": "Perception/single/f6e6f8d9-8afa-4a19-9c85-23658c0dab5d_0.png", "image_2": null, "question": "Is dead pixel present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "49715cbb-66e1-4276-95cd-8147de6fef78", "image_1": "Perception/single/49715cbb-66e1-4276-95cd-8147de6fef78_0.png", "image_2": null, "question": "Does dead pixel compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "709e351f-48e0-41ca-9726-233ca09c046f", "image_1": "Perception/single/709e351f-48e0-41ca-9726-233ca09c046f_0.png", "image_2": null, "question": "Is dead pixel a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ad944079-a6a1-4caa-b8cb-2481d93d1e64", "image_1": "Perception/single/ad944079-a6a1-4caa-b8cb-2481d93d1e64_0.png", "image_2": null, "question": "Can impulse noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "5bb343df-b0ec-404e-9133-76f52991af79", "image_1": "Perception/single/5bb343df-b0ec-404e-9133-76f52991af79_0.png", "image_2": null, "question": "Is deadline noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a3e030aa-c0ad-4503-aabd-e007ff6d290b", "image_1": "Perception/single/a3e030aa-c0ad-4503-aabd-e007ff6d290b_0.png", "image_2": null, "question": "Does image stretching compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "e4bf1cf3-10d2-48a8-b28d-be4298961569", "image_1": "Perception/single/e4bf1cf3-10d2-48a8-b28d-be4298961569_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "870bdcce-5f20-4e27-a791-77f9e549c58f", "image_1": "Perception/single/870bdcce-5f20-4e27-a791-77f9e549c58f_0.png", "image_2": null, "question": "Is image stretching a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "36a05910-5075-4fee-a5b6-6278cccb6d56", "image_1": "Perception/single/36a05910-5075-4fee-a5b6-6278cccb6d56_0.png", "image_2": null, "question": "Is image compression apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "21343795-4ba5-4c9f-abc2-a67521175ab3", "image_1": "Perception/single/21343795-4ba5-4c9f-abc2-a67521175ab3_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "e28a4112-22c1-4707-bf89-f9446f85ab99", "image_1": "Perception/single/e28a4112-22c1-4707-bf89-f9446f85ab99_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "8c63c05f-6609-4adf-b370-65fd0a5b7d47", "image_1": "Perception/single/8c63c05f-6609-4adf-b370-65fd0a5b7d47_0.png", "image_2": null, "question": "Does image stretching obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "1c08ad8a-eeac-4e9f-b1ff-ac2fe3c035d3", "image_1": "Perception/single/1c08ad8a-eeac-4e9f-b1ff-ac2fe3c035d3_0.png", "image_2": null, "question": "Does image stretching obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "3d40471e-e3ae-4612-a084-3dce38213d99", "image_1": "Perception/single/3d40471e-e3ae-4612-a084-3dce38213d99_0.png", "image_2": null, "question": "Is impulse noise the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "f7407612-75f9-4b23-b3c5-7e26fbb44cbe", "image_1": "Perception/single/f7407612-75f9-4b23-b3c5-7e26fbb44cbe_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "11b92d31-58fd-4908-b912-757d4c6dc421", "image_1": "Perception/single/11b92d31-58fd-4908-b912-757d4c6dc421_0.png", "image_2": null, "question": "Is the image impacted by missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "e9b93984-c070-4a70-a888-cdde780789b7", "image_1": "Perception/single/e9b93984-c070-4a70-a888-cdde780789b7_0.png", "image_2": null, "question": "Does this image contain motion blur?\nA.Yes\nB.No", "answer": "B"}
{"id": "d44d71b7-6ef6-4cf8-a39f-025bf2426a45", "image_1": "Perception/single/d44d71b7-6ef6-4cf8-a39f-025bf2426a45_0.png", "image_2": null, "question": "Is gaussian noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "8b84b3a5-9ced-466c-b1f6-dd6449caf960", "image_1": "Perception/single/8b84b3a5-9ced-466c-b1f6-dd6449caf960_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "1b08e7ab-f6fb-4f1b-a4ea-1c18b4bba27f", "image_1": "Perception/single/1b08e7ab-f6fb-4f1b-a4ea-1c18b4bba27f_0.png", "image_2": null, "question": "Is image stretching a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "21555cd9-a624-4bef-b3e7-f0657a84aa74", "image_1": "Perception/single/21555cd9-a624-4bef-b3e7-f0657a84aa74_0.png", "image_2": null, "question": "Is gaussian blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "24f85935-9bdf-42e6-b85a-78e5846783be", "image_1": "Perception/single/24f85935-9bdf-42e6-b85a-78e5846783be_0.png", "image_2": null, "question": "Is stripe noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "84084a05-8ab1-41b7-9150-63d2d0ace11f", "image_1": "Perception/single/84084a05-8ab1-41b7-9150-63d2d0ace11f_0.png", "image_2": null, "question": "Is the image impacted by image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "66594bd1-2137-42d1-b2ec-f355e8dca38d", "image_1": "Perception/single/66594bd1-2137-42d1-b2ec-f355e8dca38d_0.png", "image_2": null, "question": "Does image stretching obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "0ac810ba-36cc-4c8d-a2b2-1f40251d645a", "image_1": "Perception/single/0ac810ba-36cc-4c8d-a2b2-1f40251d645a_0.png", "image_2": null, "question": "Does color distortion result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "4414af3b-2775-4754-b290-bed4fe79c2a2", "image_1": "Perception/single/4414af3b-2775-4754-b290-bed4fe79c2a2_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "a5c939b5-2ef1-434b-ab99-ec6163968fbf", "image_1": "Perception/single/a5c939b5-2ef1-434b-ab99-ec6163968fbf_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "22d0f35f-3e43-447d-b28b-acaaf87f0bd0", "image_1": "Perception/single/22d0f35f-3e43-447d-b28b-acaaf87f0bd0_0.png", "image_2": null, "question": "Is the image impacted by deadline noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "1f3c330b-5ea8-4b9d-b526-9c5eb8c7b699", "image_1": "Perception/single/1f3c330b-5ea8-4b9d-b526-9c5eb8c7b699_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "ed3a6efb-d221-4f33-94d2-c7808d60ff19", "image_1": "Perception/single/ed3a6efb-d221-4f33-94d2-c7808d60ff19_0.png", "image_2": null, "question": "Does the image exhibit image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "103ad9b4-7f8a-495f-895c-fcc1b6d0378d", "image_1": "Perception/single/103ad9b4-7f8a-495f-895c-fcc1b6d0378d_0.png", "image_2": null, "question": "Is stripe noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "253e92ae-3aa0-4be6-bf2e-41f60ead586e", "image_1": "Perception/single/253e92ae-3aa0-4be6-bf2e-41f60ead586e_0.png", "image_2": null, "question": "Does spatially correlated noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "aba78dc3-8915-416b-82b8-d835d4012144", "image_1": "Perception/single/aba78dc3-8915-416b-82b8-d835d4012144_0.png", "image_2": null, "question": "Does image stretching interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "b1f8de46-4508-43ac-b2dd-06c6432d0f8a", "image_1": "Perception/single/b1f8de46-4508-43ac-b2dd-06c6432d0f8a_0.png", "image_2": null, "question": "Can spatially correlated noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "98eacd55-a7d8-4054-96e3-4f3914a731a9", "image_1": "Perception/single/98eacd55-a7d8-4054-96e3-4f3914a731a9_0.png", "image_2": null, "question": "Can image stretching be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "91359d48-c9a2-4846-933f-83806b1fe266", "image_1": "Perception/single/91359d48-c9a2-4846-933f-83806b1fe266_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "d6c32ca3-45f2-4cea-8642-969ac4db7c61", "image_1": "Perception/single/d6c32ca3-45f2-4cea-8642-969ac4db7c61_0.png", "image_2": null, "question": "Does motion blur reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ec0f0116-8619-48a5-a63e-12d5dbee1c4d", "image_1": "Perception/single/ec0f0116-8619-48a5-a63e-12d5dbee1c4d_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "ae912555-cbe6-4e41-9b99-8ba3464dbc72", "image_1": "Perception/single/ae912555-cbe6-4e41-9b99-8ba3464dbc72_0.png", "image_2": null, "question": "Does cloud affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "5164eda6-e05c-4c9f-a876-377cae7ead7a", "image_1": "Perception/single/5164eda6-e05c-4c9f-a876-377cae7ead7a_0.png", "image_2": null, "question": "Is image stretching present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "85bc658e-f94f-4f67-ac24-fe659cc7179a", "image_1": "Perception/single/85bc658e-f94f-4f67-ac24-fe659cc7179a_0.png", "image_2": null, "question": "Is dead pixel a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e054a908-424d-4544-9c40-f00421d10dcd", "image_1": "Perception/single/e054a908-424d-4544-9c40-f00421d10dcd_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "1f68d721-9557-4263-9512-1a1a471e43dd", "image_1": "Perception/single/1f68d721-9557-4263-9512-1a1a471e43dd_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "3b90bb07-80e6-445d-94ea-427d763ab1b7", "image_1": "Perception/single/3b90bb07-80e6-445d-94ea-427d763ab1b7_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "63fc9729-c1c6-4366-b9d6-6c3d4e9dc64f", "image_1": "Perception/single/63fc9729-c1c6-4366-b9d6-6c3d4e9dc64f_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "43417c26-a266-47e1-9cdc-71dcbbe54668", "image_1": "Perception/single/43417c26-a266-47e1-9cdc-71dcbbe54668_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "88f6ec38-5186-4c5d-933c-5ab2d4114df1", "image_1": "Perception/single/88f6ec38-5186-4c5d-933c-5ab2d4114df1_0.png", "image_2": null, "question": "Does image stretching interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "bcb5d52b-f7d3-433e-8d0b-f2b7ca45c59a", "image_1": "Perception/single/bcb5d52b-f7d3-433e-8d0b-f2b7ca45c59a_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "167b5ed2-caa7-481d-ba28-8bfd75301934", "image_1": "Perception/single/167b5ed2-caa7-481d-ba28-8bfd75301934_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ef76e88b-efb3-47de-b323-1edb0065ff93", "image_1": "Perception/single/ef76e88b-efb3-47de-b323-1edb0065ff93_0.png", "image_2": null, "question": "Can deadline noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a8efc4d6-298c-4370-b9b1-fab2b8ce9c47", "image_1": "Perception/single/a8efc4d6-298c-4370-b9b1-fab2b8ce9c47_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0974d28a-9204-4e09-98cd-28ac684d78bb", "image_1": "Perception/single/0974d28a-9204-4e09-98cd-28ac684d78bb_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "f87948bf-3d8c-4225-b624-6399ec30f241", "image_1": "Perception/single/f87948bf-3d8c-4225-b624-6399ec30f241_0.png", "image_2": null, "question": "Is image stretching a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c493add9-9040-401c-b368-cd89b7f1c14a", "image_1": "Perception/single/c493add9-9040-401c-b368-cd89b7f1c14a_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ece69d22-1318-41cb-bf29-4c6c093280b7", "image_1": "Perception/single/ece69d22-1318-41cb-bf29-4c6c093280b7_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "951e0eda-1c0d-4a03-a7df-d41d20ad4869", "image_1": "Perception/single/951e0eda-1c0d-4a03-a7df-d41d20ad4869_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d983a0b5-19ad-445a-9650-83407bf66520", "image_1": "Perception/single/d983a0b5-19ad-445a-9650-83407bf66520_0.png", "image_2": null, "question": "Does color distortion interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "83feb924-d71c-49ed-9cae-54369fa3d657", "image_1": "Perception/single/83feb924-d71c-49ed-9cae-54369fa3d657_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "e218d1a5-9eef-4f6f-b991-26c651e72d5a", "image_1": "Perception/single/e218d1a5-9eef-4f6f-b991-26c651e72d5a_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0a25d73b-4959-4559-b139-b98ba3803e1b", "image_1": "Perception/single/0a25d73b-4959-4559-b139-b98ba3803e1b_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "e8ce8544-c6f0-40f8-bdee-231822ba3008", "image_1": "Perception/single/e8ce8544-c6f0-40f8-bdee-231822ba3008_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "c6bab75f-ef30-4122-b399-affd73c90f3e", "image_1": "Perception/single/c6bab75f-ef30-4122-b399-affd73c90f3e_0.png", "image_2": null, "question": "Is motion blur the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "3cfd828d-0f62-415f-825c-92897b7382f7", "image_1": "Perception/single/3cfd828d-0f62-415f-825c-92897b7382f7_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "fcf732f1-0f1e-4505-b06b-1df4393fb0c2", "image_1": "Perception/single/fcf732f1-0f1e-4505-b06b-1df4393fb0c2_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "87b4f211-27a7-494d-af9e-bf6bc1510a72", "image_1": "Perception/single/87b4f211-27a7-494d-af9e-bf6bc1510a72_0.png", "image_2": null, "question": "Does stripe noise result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "7f20feed-48da-4d6a-bb28-c67771a9e698", "image_1": "Perception/single/7f20feed-48da-4d6a-bb28-c67771a9e698_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4bc4ceca-97f1-4e6c-a375-9eef8b24809e", "image_1": "Perception/single/4bc4ceca-97f1-4e6c-a375-9eef8b24809e_0.png", "image_2": null, "question": "Is image stretching apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "848235d7-399a-4fda-abf8-7d22008b147f", "image_1": "Perception/single/848235d7-399a-4fda-abf8-7d22008b147f_0.png", "image_2": null, "question": "Does cloud reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1b309cf3-ffd5-4edc-892a-ee3edd5f2456", "image_1": "Perception/single/1b309cf3-ffd5-4edc-892a-ee3edd5f2456_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "8f94b08b-db8d-4a6e-bf5e-e05d8269cc94", "image_1": "Perception/single/8f94b08b-db8d-4a6e-bf5e-e05d8269cc94_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "e5996296-c61e-4379-a6d2-a4b85695748e", "image_1": "Perception/single/e5996296-c61e-4379-a6d2-a4b85695748e_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "bbfdca75-cb16-4796-aa68-fac40262b7b9", "image_1": "Perception/single/bbfdca75-cb16-4796-aa68-fac40262b7b9_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "2551e225-3612-4fa4-8ba8-80c012e87bc4", "image_1": "Perception/single/2551e225-3612-4fa4-8ba8-80c012e87bc4_0.png", "image_2": null, "question": "Is the image impacted by missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "00a08f07-2080-46f2-8d32-5266028b95de", "image_1": "Perception/single/00a08f07-2080-46f2-8d32-5266028b95de_0.png", "image_2": null, "question": "Does image stretching result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "9442086e-62c1-491f-825c-e8c83a0bbaab", "image_1": "Perception/single/9442086e-62c1-491f-825c-e8c83a0bbaab_0.png", "image_2": null, "question": "Can cloud be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d826afe4-1043-4d8f-8f76-9386708fa09e", "image_1": "Perception/single/d826afe4-1043-4d8f-8f76-9386708fa09e_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "7096bb63-997e-4694-ae4c-ff8b4a692f70", "image_1": "Perception/single/7096bb63-997e-4694-ae4c-ff8b4a692f70_0.png", "image_2": null, "question": "Is image stretching apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "94d9632d-86eb-4664-82bc-25eb33cc6670", "image_1": "Perception/single/94d9632d-86eb-4664-82bc-25eb33cc6670_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "5e17657c-39fe-4d67-8804-65415b038bbf", "image_1": "Perception/single/5e17657c-39fe-4d67-8804-65415b038bbf_0.png", "image_2": null, "question": "Is there image stretching present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "f99e2da4-2380-49fb-a561-2f0d2fb0d1d5", "image_1": "Perception/single/f99e2da4-2380-49fb-a561-2f0d2fb0d1d5_0.png", "image_2": null, "question": "Does the image exhibit spatially correlated noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "11bdfa7c-e3f4-4f17-97b3-45498d1ec425", "image_1": "Perception/single/11bdfa7c-e3f4-4f17-97b3-45498d1ec425_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "42e39295-00f0-4b06-aa55-e23abbe9f249", "image_1": "Perception/single/42e39295-00f0-4b06-aa55-e23abbe9f249_0.png", "image_2": null, "question": "Is haze a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "b44caff9-78a2-42fd-9c53-b932e6b855b0", "image_1": "Perception/single/b44caff9-78a2-42fd-9c53-b932e6b855b0_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "dbdd0c43-2719-42bb-8feb-4c4435c52d8c", "image_1": "Perception/single/dbdd0c43-2719-42bb-8feb-4c4435c52d8c_0.png", "image_2": null, "question": "Does cloud interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "1911c5a8-2e0c-4d77-a24f-99fc3975eea2", "image_1": "Perception/single/1911c5a8-2e0c-4d77-a24f-99fc3975eea2_0.png", "image_2": null, "question": "Does dead pixel reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ec3db78f-cf43-4850-bf2f-003368893539", "image_1": "Perception/single/ec3db78f-cf43-4850-bf2f-003368893539_0.png", "image_2": null, "question": "Does image stretching compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "64c56959-ee1e-4c58-8229-e99e40bf602e", "image_1": "Perception/single/64c56959-ee1e-4c58-8229-e99e40bf602e_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f44d38df-198e-48ec-adf2-a6c9d716cb83", "image_1": "Perception/single/f44d38df-198e-48ec-adf2-a6c9d716cb83_0.png", "image_2": null, "question": "Is gaussian blur the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "93a3bb12-50ef-4e69-a323-bb08aced3cb8", "image_1": "Perception/single/93a3bb12-50ef-4e69-a323-bb08aced3cb8_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "cc30011c-ab3c-48b1-b3f4-ab5c04eb27c8", "image_1": "Perception/single/cc30011c-ab3c-48b1-b3f4-ab5c04eb27c8_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "80bcc309-45d2-4033-92f9-700bedaba304", "image_1": "Perception/single/80bcc309-45d2-4033-92f9-700bedaba304_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "afb801dc-2aac-4573-9330-4e9fbd5283bd", "image_1": "Perception/single/afb801dc-2aac-4573-9330-4e9fbd5283bd_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "a8935324-bacc-4301-8fcd-7a27535c4863", "image_1": "Perception/single/a8935324-bacc-4301-8fcd-7a27535c4863_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "e84daefa-9762-4abf-bc38-4a369b819a7c", "image_1": "Perception/single/e84daefa-9762-4abf-bc38-4a369b819a7c_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2d39b0a2-3ef7-4d71-ac5b-02952b05fd9b", "image_1": "Perception/single/2d39b0a2-3ef7-4d71-ac5b-02952b05fd9b_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "fce31f04-9a9e-421d-9a96-3d847bf0488f", "image_1": "Perception/single/fce31f04-9a9e-421d-9a96-3d847bf0488f_0.png", "image_2": null, "question": "Does image stretching compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "f744cc3d-bd44-4016-9482-60f5204f0157", "image_1": "Perception/single/f744cc3d-bd44-4016-9482-60f5204f0157_0.png", "image_2": null, "question": "Is image stretching visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "360154cc-4864-47ac-9bcd-c6cee9bf8e2f", "image_1": "Perception/single/360154cc-4864-47ac-9bcd-c6cee9bf8e2f_0.png", "image_2": null, "question": "Does image stretching compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "e097915a-de9d-4e38-9d7c-7e7336c54537", "image_1": "Perception/single/e097915a-de9d-4e38-9d7c-7e7336c54537_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "88d7a3d8-cc8a-4a6b-b7bd-e441cc3d7010", "image_1": "Perception/single/88d7a3d8-cc8a-4a6b-b7bd-e441cc3d7010_0.png", "image_2": null, "question": "Does image stretching compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "ab1e77e6-c0d5-4a17-a9e8-0c64d3c208c0", "image_1": "Perception/single/ab1e77e6-c0d5-4a17-a9e8-0c64d3c208c0_0.png", "image_2": null, "question": "Is image stretching a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "f40115a8-01a6-45a4-ba86-2f1cea277aca", "image_1": "Perception/single/f40115a8-01a6-45a4-ba86-2f1cea277aca_0.png", "image_2": null, "question": "Does the image exhibit stripe noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "8eb7dd40-47fb-4885-9879-c893205c3c6a", "image_1": "Perception/single/8eb7dd40-47fb-4885-9879-c893205c3c6a_0.png", "image_2": null, "question": "Can image stretching be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "3cb458bf-948f-4309-9795-f39355248d28", "image_1": "Perception/single/3cb458bf-948f-4309-9795-f39355248d28_0.png", "image_2": null, "question": "Is image stretching visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "562a93a1-cace-4fb8-928e-a531c0b5c989", "image_1": "Perception/single/562a93a1-cace-4fb8-928e-a531c0b5c989_0.png", "image_2": null, "question": "Does image stretching compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "a9de6334-fb79-4017-a274-dedafd82a696", "image_1": "Perception/single/a9de6334-fb79-4017-a274-dedafd82a696_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "bc1635fb-6fb6-494c-9f5f-3ab0d727a2ac", "image_1": "Perception/single/bc1635fb-6fb6-494c-9f5f-3ab0d727a2ac_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "1d2cd177-4b4a-49c7-902b-5e0d8ec8feaa", "image_1": "Perception/single/1d2cd177-4b4a-49c7-902b-5e0d8ec8feaa_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "be7e08b2-dee1-4ae8-8cc2-895f47b4d2c7", "image_1": "Perception/single/be7e08b2-dee1-4ae8-8cc2-895f47b4d2c7_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "45647655-bae5-4052-b655-61349e8b81e6", "image_1": "Perception/single/45647655-bae5-4052-b655-61349e8b81e6_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "9b9eedfd-ea18-4229-a77c-d192b1045d6c", "image_1": "Perception/single/9b9eedfd-ea18-4229-a77c-d192b1045d6c_0.png", "image_2": null, "question": "Does this image contain dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "71a9f9fd-7a99-4a72-a8a2-f0189d83234a", "image_1": "Perception/single/71a9f9fd-7a99-4a72-a8a2-f0189d83234a_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "c6bdc5c3-15d6-4847-8f47-f19032c5e8d8", "image_1": "Perception/single/c6bdc5c3-15d6-4847-8f47-f19032c5e8d8_0.png", "image_2": null, "question": "Does dead pixel obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "0b650488-69d8-48c7-8d5c-508a29532403", "image_1": "Perception/single/0b650488-69d8-48c7-8d5c-508a29532403_0.png", "image_2": null, "question": "Is impulse noise the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "4ead0300-15b1-4c3c-b521-8b3ea17d6a0d", "image_1": "Perception/single/4ead0300-15b1-4c3c-b521-8b3ea17d6a0d_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "ba7f33d9-12ad-4486-92e7-cd5c8a5cf879", "image_1": "Perception/single/ba7f33d9-12ad-4486-92e7-cd5c8a5cf879_0.png", "image_2": null, "question": "Does dead pixel result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "45308843-a475-4e95-b5e2-e1778f514eb0", "image_1": "Perception/single/45308843-a475-4e95-b5e2-e1778f514eb0_0.png", "image_2": null, "question": "Is the image impacted by dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "9dd717dd-6625-40b6-a2b6-7f3290c838cf", "image_1": "Perception/single/9dd717dd-6625-40b6-a2b6-7f3290c838cf_0.png", "image_2": null, "question": "Is there dead pixel present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6f136736-2331-4681-8689-a157568bbeb0", "image_1": "Perception/single/6f136736-2331-4681-8689-a157568bbeb0_0.png", "image_2": null, "question": "Does gaussian blur affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "d08ebde8-23de-43b2-9ae9-1cd9a838bd5e", "image_1": "Perception/single/d08ebde8-23de-43b2-9ae9-1cd9a838bd5e_0.png", "image_2": null, "question": "Is dead pixel a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "54b18c51-df27-40ae-bf2b-d9d55abbf260", "image_1": "Perception/single/54b18c51-df27-40ae-bf2b-d9d55abbf260_0.png", "image_2": null, "question": "Does dead pixel obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "ed89179c-9210-4ee7-aaab-d28257964e0f", "image_1": "Perception/single/ed89179c-9210-4ee7-aaab-d28257964e0f_0.png", "image_2": null, "question": "Does dead pixel compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "d537171a-182f-46be-af66-ba0fecbe7688", "image_1": "Perception/single/d537171a-182f-46be-af66-ba0fecbe7688_0.png", "image_2": null, "question": "Does this image contain dead pixel?\nA.Yes\nB.No", "answer": "B"}
{"id": "7bbe9122-da56-411a-b8af-ca572f2f8449", "image_1": "Perception/single/7bbe9122-da56-411a-b8af-ca572f2f8449_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "277d56f2-343f-417f-83a9-6bd98e6e1306", "image_1": "Perception/single/277d56f2-343f-417f-83a9-6bd98e6e1306_0.png", "image_2": null, "question": "Is dead pixel a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "2bfd51ea-eabb-45af-accb-002b02418a5d", "image_1": "Perception/single/2bfd51ea-eabb-45af-accb-002b02418a5d_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4aaf9ab3-b005-4340-9670-7b2bc410d6b3", "image_1": "Perception/single/4aaf9ab3-b005-4340-9670-7b2bc410d6b3_0.png", "image_2": null, "question": "Is the image impacted by dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "5b24e83f-9589-4c65-b74f-7bb2c30abee2", "image_1": "Perception/single/5b24e83f-9589-4c65-b74f-7bb2c30abee2_0.png", "image_2": null, "question": "Does dead pixel obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "a7ecb50c-f1a5-4d7e-9456-9f967c35e4d9", "image_1": "Perception/single/a7ecb50c-f1a5-4d7e-9456-9f967c35e4d9_0.png", "image_2": null, "question": "Does color distortion result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "94f23062-f16f-4c24-a582-d01a50325362", "image_1": "Perception/single/94f23062-f16f-4c24-a582-d01a50325362_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "45f81409-8de5-49d8-ae46-c3a683896441", "image_1": "Perception/single/45f81409-8de5-49d8-ae46-c3a683896441_0.png", "image_2": null, "question": "Is gaussian blur visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "89cde1a7-4eaf-4834-aca8-eb88383e83d2", "image_1": "Perception/single/89cde1a7-4eaf-4834-aca8-eb88383e83d2_0.png", "image_2": null, "question": "Is the image impacted by dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "965cb540-59c5-4f9c-abeb-acc09680fcb0", "image_1": "Perception/single/965cb540-59c5-4f9c-abeb-acc09680fcb0_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "935b2f02-5300-4da4-aefd-4fb4f8d5ae0f", "image_1": "Perception/single/935b2f02-5300-4da4-aefd-4fb4f8d5ae0f_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "f31f6c5e-b209-4f53-aff8-f241f67b3a97", "image_1": "Perception/single/f31f6c5e-b209-4f53-aff8-f241f67b3a97_0.png", "image_2": null, "question": "Is impulse noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "9d3f977f-fe5b-4aa5-9498-40e9da3733a3", "image_1": "Perception/single/9d3f977f-fe5b-4aa5-9498-40e9da3733a3_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "15249af5-56f9-4654-871b-1c412107da10", "image_1": "Perception/single/15249af5-56f9-4654-871b-1c412107da10_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "ff52432c-0819-4422-88f5-18049b371c99", "image_1": "Perception/single/ff52432c-0819-4422-88f5-18049b371c99_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "0252d5b0-0af0-4be9-9985-64d5057b09ad", "image_1": "Perception/single/0252d5b0-0af0-4be9-9985-64d5057b09ad_0.png", "image_2": null, "question": "Is cloud the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "66eb2a3f-4ce6-49d3-b3ab-7664b5b4d024", "image_1": "Perception/single/66eb2a3f-4ce6-49d3-b3ab-7664b5b4d024_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "06c1bbda-9527-44a3-8b9a-c93fe6c05bc1", "image_1": "Perception/single/06c1bbda-9527-44a3-8b9a-c93fe6c05bc1_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "dcbd027d-be9e-4ced-a072-871c5d2319b3", "image_1": "Perception/single/dcbd027d-be9e-4ced-a072-871c5d2319b3_0.png", "image_2": null, "question": "Does motion blur reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "af1967d7-150a-420e-adc2-bfdf3d1baa11", "image_1": "Perception/single/af1967d7-150a-420e-adc2-bfdf3d1baa11_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "cb0ffd36-69db-4361-bc41-4aadbe0b07ba", "image_1": "Perception/single/cb0ffd36-69db-4361-bc41-4aadbe0b07ba_0.png", "image_2": null, "question": "Does cloud affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "7c59de60-72f7-44b8-8383-b90f1f604336", "image_1": "Perception/single/7c59de60-72f7-44b8-8383-b90f1f604336_0.png", "image_2": null, "question": "Is image stretching present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "c2345492-4125-4c06-a06e-1a0b438a5d2b", "image_1": "Perception/single/c2345492-4125-4c06-a06e-1a0b438a5d2b_0.png", "image_2": null, "question": "Is dead pixel a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0ac2806d-1056-4bbf-94b4-6819ff5ae324", "image_1": "Perception/single/0ac2806d-1056-4bbf-94b4-6819ff5ae324_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "15f238af-83ef-47f4-ac7f-6b6be9a56864", "image_1": "Perception/single/15f238af-83ef-47f4-ac7f-6b6be9a56864_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "c1c3da30-f0af-4765-9cde-5800ef30dc4b", "image_1": "Perception/single/c1c3da30-f0af-4765-9cde-5800ef30dc4b_0.png", "image_2": null, "question": "Is there dead pixel present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "109d3c57-3cb7-494e-ac22-f8aba1f16909", "image_1": "Perception/single/109d3c57-3cb7-494e-ac22-f8aba1f16909_0.png", "image_2": null, "question": "Is image compression present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "ffea2b57-0b0b-4e0c-b795-d53dbff83526", "image_1": "Perception/single/ffea2b57-0b0b-4e0c-b795-d53dbff83526_0.png", "image_2": null, "question": "Does gaussian noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "ae99a020-86a7-4659-9a98-6359b7e81031", "image_1": "Perception/single/ae99a020-86a7-4659-9a98-6359b7e81031_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "28372425-94bf-4198-886e-e12f185391d8", "image_1": "Perception/single/28372425-94bf-4198-886e-e12f185391d8_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "36f02b6d-8c6b-4e7b-8c26-3bea09ee6832", "image_1": "Perception/single/36f02b6d-8c6b-4e7b-8c26-3bea09ee6832_0.png", "image_2": null, "question": "Does dead pixel reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "205f28e9-1f7d-4b18-b4c7-fd85429ffb8b", "image_1": "Perception/single/205f28e9-1f7d-4b18-b4c7-fd85429ffb8b_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0c242de3-cdc1-4580-8237-4ed75fe72951", "image_1": "Perception/single/0c242de3-cdc1-4580-8237-4ed75fe72951_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "50e89669-fc3d-46ea-894c-baa6ce8ae79a", "image_1": "Perception/single/50e89669-fc3d-46ea-894c-baa6ce8ae79a_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "82126438-f963-41c5-baaf-2e92afed3b1a", "image_1": "Perception/single/82126438-f963-41c5-baaf-2e92afed3b1a_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "09f7ddd6-55cc-4452-ae90-15b78125df0c", "image_1": "Perception/single/09f7ddd6-55cc-4452-ae90-15b78125df0c_0.png", "image_2": null, "question": "Does stripe noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "b623148d-edc9-4105-8d8c-d220d47ff223", "image_1": "Perception/single/b623148d-edc9-4105-8d8c-d220d47ff223_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "9a68c058-5290-4848-a2aa-16f7af32f566", "image_1": "Perception/single/9a68c058-5290-4848-a2aa-16f7af32f566_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "bd61bc18-d709-4c38-ad8e-99b0ac785133", "image_1": "Perception/single/bd61bc18-d709-4c38-ad8e-99b0ac785133_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "e1592321-b6c3-4c7c-90f8-372b6ba33cf5", "image_1": "Perception/single/e1592321-b6c3-4c7c-90f8-372b6ba33cf5_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "3e04333d-404a-4923-bbeb-91246bb785fa", "image_1": "Perception/single/3e04333d-404a-4923-bbeb-91246bb785fa_0.png", "image_2": null, "question": "Does color distortion interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "1c901819-1e22-4b63-bf44-b54ba8a61948", "image_1": "Perception/single/1c901819-1e22-4b63-bf44-b54ba8a61948_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "f0710093-d411-4ce3-a469-9d7ed60a858b", "image_1": "Perception/single/f0710093-d411-4ce3-a469-9d7ed60a858b_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "234e0dfb-e073-496c-b6ec-f79a208d0400", "image_1": "Perception/single/234e0dfb-e073-496c-b6ec-f79a208d0400_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "e79d9091-ebe3-4f56-be5c-bd0869c397ea", "image_1": "Perception/single/e79d9091-ebe3-4f56-be5c-bd0869c397ea_0.png", "image_2": null, "question": "Is there dead pixel present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "91ab3d1a-1897-45be-9dcf-b57e909074c2", "image_1": "Perception/single/91ab3d1a-1897-45be-9dcf-b57e909074c2_0.png", "image_2": null, "question": "Does dead pixel obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "39fe3170-dec4-4fe7-81b9-5ff4699332fb", "image_1": "Perception/single/39fe3170-dec4-4fe7-81b9-5ff4699332fb_0.png", "image_2": null, "question": "Is there dead pixel present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "5dafabd5-1d87-463f-a3e5-f74bc8cd5369", "image_1": "Perception/single/5dafabd5-1d87-463f-a3e5-f74bc8cd5369_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "396086c9-e527-4ced-9c39-67e704c44b5c", "image_1": "Perception/single/396086c9-e527-4ced-9c39-67e704c44b5c_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "7790568d-9104-479b-a946-a4b94fe8288e", "image_1": "Perception/single/7790568d-9104-479b-a946-a4b94fe8288e_0.png", "image_2": null, "question": "Is gaussian noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "24f740f5-7e17-4b7c-be28-87b5ce07e3b6", "image_1": "Perception/single/24f740f5-7e17-4b7c-be28-87b5ce07e3b6_0.png", "image_2": null, "question": "Does dead pixel result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "07e24cdd-df5e-44dc-b9ad-8ab76d3d501a", "image_1": "Perception/single/07e24cdd-df5e-44dc-b9ad-8ab76d3d501a_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "02c36519-2680-4764-aa30-95fb2bec6e17", "image_1": "Perception/single/02c36519-2680-4764-aa30-95fb2bec6e17_0.png", "image_2": null, "question": "Is dead pixel a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b15b7ec4-7529-4b01-abda-a1d57d761909", "image_1": "Perception/single/b15b7ec4-7529-4b01-abda-a1d57d761909_0.png", "image_2": null, "question": "Is dead pixel apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "29f21ef5-0d93-4ecf-9b8b-365f0bd5b832", "image_1": "Perception/single/29f21ef5-0d93-4ecf-9b8b-365f0bd5b832_0.png", "image_2": null, "question": "Does cloud reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "af91d136-ab15-4dc4-ac05-667035d6ffbc", "image_1": "Perception/single/af91d136-ab15-4dc4-ac05-667035d6ffbc_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "3a5f80fd-4498-4887-911f-640e1cc7f450", "image_1": "Perception/single/3a5f80fd-4498-4887-911f-640e1cc7f450_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "7b803a41-8ee8-425f-a942-2621cbbe2440", "image_1": "Perception/single/7b803a41-8ee8-425f-a942-2621cbbe2440_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "bce307bf-13f3-4b11-88b3-1c33a68413c9", "image_1": "Perception/single/bce307bf-13f3-4b11-88b3-1c33a68413c9_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "9edd108e-12e3-4dfc-8fa7-b60b44ca8a3c", "image_1": "Perception/single/9edd108e-12e3-4dfc-8fa7-b60b44ca8a3c_0.png", "image_2": null, "question": "Is the image impacted by dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "0d2034cb-44b1-4433-a11f-6acaad7e74c2", "image_1": "Perception/single/0d2034cb-44b1-4433-a11f-6acaad7e74c2_0.png", "image_2": null, "question": "Does missing tiles interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "584629e8-97a7-4027-a258-8b4893856fab", "image_1": "Perception/single/584629e8-97a7-4027-a258-8b4893856fab_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "0d44e796-6c1a-4afb-98ac-530819078e05", "image_1": "Perception/single/0d44e796-6c1a-4afb-98ac-530819078e05_0.png", "image_2": null, "question": "Does the image exhibit dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "9c7fdd03-f06f-46f4-a114-721f73af1c05", "image_1": "Perception/single/9c7fdd03-f06f-46f4-a114-721f73af1c05_0.png", "image_2": null, "question": "Is image stretching apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "74578bb4-212c-46a9-99ee-881fb5a31e52", "image_1": "Perception/single/74578bb4-212c-46a9-99ee-881fb5a31e52_0.png", "image_2": null, "question": "Is there gaussian noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "183c7c96-db59-4286-bbed-611ce8dca5ee", "image_1": "Perception/single/183c7c96-db59-4286-bbed-611ce8dca5ee_0.png", "image_2": null, "question": "Does the image exhibit spatially correlated noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "f86e690d-489a-409b-8ade-ca6f33cd3041", "image_1": "Perception/single/f86e690d-489a-409b-8ade-ca6f33cd3041_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "2d2e9e8e-580e-4ff4-8ffe-9dc284e47242", "image_1": "Perception/single/2d2e9e8e-580e-4ff4-8ffe-9dc284e47242_0.png", "image_2": null, "question": "Is the image impacted by dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "623a87a4-b10a-4d55-a0ed-c3a9972c84bc", "image_1": "Perception/single/623a87a4-b10a-4d55-a0ed-c3a9972c84bc_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "56e2e5eb-d1fc-48b8-885f-c187e949b653", "image_1": "Perception/single/56e2e5eb-d1fc-48b8-885f-c187e949b653_0.png", "image_2": null, "question": "Does cloud interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "eac17453-789d-4c29-a4b8-d8de4814155e", "image_1": "Perception/single/eac17453-789d-4c29-a4b8-d8de4814155e_0.png", "image_2": null, "question": "Does dead pixel reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "185b1302-edf7-423d-a8c2-4e50fad22f98", "image_1": "Perception/single/185b1302-edf7-423d-a8c2-4e50fad22f98_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "3e53628a-1a5c-41dd-aab1-caaec1e567e2", "image_1": "Perception/single/3e53628a-1a5c-41dd-aab1-caaec1e567e2_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "1233ec19-84ed-4e38-9a8e-3e08bf430a84", "image_1": "Perception/single/1233ec19-84ed-4e38-9a8e-3e08bf430a84_0.png", "image_2": null, "question": "Does this image contain dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "09eb6e12-2d3f-4053-af72-6dc9ac447381", "image_1": "Perception/single/09eb6e12-2d3f-4053-af72-6dc9ac447381_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "16713ed9-7626-42be-bc4e-f992d180fd57", "image_1": "Perception/single/16713ed9-7626-42be-bc4e-f992d180fd57_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "f9b07b9c-d634-4637-b0c5-ab5f2236416d", "image_1": "Perception/single/f9b07b9c-d634-4637-b0c5-ab5f2236416d_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "641f4d3e-c101-41a1-afa4-b622bf27557e", "image_1": "Perception/single/641f4d3e-c101-41a1-afa4-b622bf27557e_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "eb09a332-ad4e-4e11-aaa5-2124a97aeec3", "image_1": "Perception/single/eb09a332-ad4e-4e11-aaa5-2124a97aeec3_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "c70c21bd-982b-44a3-9ff8-0f9a181b7388", "image_1": "Perception/single/c70c21bd-982b-44a3-9ff8-0f9a181b7388_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "4fd7f2d3-5b96-46dc-a0dc-a3c43d4e0189", "image_1": "Perception/single/4fd7f2d3-5b96-46dc-a0dc-a3c43d4e0189_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "7609eb13-a99d-4a16-9ecb-9307a33b0283", "image_1": "Perception/single/7609eb13-a99d-4a16-9ecb-9307a33b0283_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "dd316824-8a03-4a0b-96a5-8afb8c9dff6b", "image_1": "Perception/single/dd316824-8a03-4a0b-96a5-8afb8c9dff6b_0.png", "image_2": null, "question": "Does dead pixel compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "5296be32-b88d-46f3-8384-869052c14a77", "image_1": "Perception/single/5296be32-b88d-46f3-8384-869052c14a77_0.png", "image_2": null, "question": "Does deadline noise compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "c600b1dc-8a08-4e9c-901d-73ce95ead440", "image_1": "Perception/single/c600b1dc-8a08-4e9c-901d-73ce95ead440_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "67675e86-9292-48c1-9aa0-6e7879dfd209", "image_1": "Perception/single/67675e86-9292-48c1-9aa0-6e7879dfd209_0.png", "image_2": null, "question": "Does dead pixel compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "aa7d188d-10d9-4e1a-96cc-3948c256a3ba", "image_1": "Perception/single/aa7d188d-10d9-4e1a-96cc-3948c256a3ba_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "4b4a6b0e-46c3-4124-9edc-8d695466b71f", "image_1": "Perception/single/4b4a6b0e-46c3-4124-9edc-8d695466b71f_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "0f9eedc6-0c2f-420f-8047-775d214d3a8d", "image_1": "Perception/single/0f9eedc6-0c2f-420f-8047-775d214d3a8d_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "4186df9b-a400-456c-8c15-5d20c0a15dae", "image_1": "Perception/single/4186df9b-a400-456c-8c15-5d20c0a15dae_0.png", "image_2": null, "question": "Is impulse noise the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "97edad72-9f01-4797-b1d5-ab0df10739c2", "image_1": "Perception/single/97edad72-9f01-4797-b1d5-ab0df10739c2_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "07c292d8-6e74-4661-bdc0-4a2038d61d6b", "image_1": "Perception/single/07c292d8-6e74-4661-bdc0-4a2038d61d6b_0.png", "image_2": null, "question": "Does dead pixel result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "ea851044-8924-4e95-8c60-36e45280d81f", "image_1": "Perception/single/ea851044-8924-4e95-8c60-36e45280d81f_0.png", "image_2": null, "question": "Is there haze present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "782c914d-7e1a-4dfb-9a9a-86dd2bb17c5c", "image_1": "Perception/single/782c914d-7e1a-4dfb-9a9a-86dd2bb17c5c_0.png", "image_2": null, "question": "Does gaussian blur affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "a2b73d67-98ae-4637-930e-f5a00cd86472", "image_1": "Perception/single/a2b73d67-98ae-4637-930e-f5a00cd86472_0.png", "image_2": null, "question": "Does stripe noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "5b78c3ba-c36b-4709-a4f0-8e7318ae9956", "image_1": "Perception/single/5b78c3ba-c36b-4709-a4f0-8e7318ae9956_0.png", "image_2": null, "question": "Is image stretching a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "768a0a1e-631d-4a49-aac0-f0418c5dca0f", "image_1": "Perception/single/768a0a1e-631d-4a49-aac0-f0418c5dca0f_0.png", "image_2": null, "question": "Is gaussian blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "5d81b3ab-ad69-48d9-8b1b-a88aff4ec5af", "image_1": "Perception/single/5d81b3ab-ad69-48d9-8b1b-a88aff4ec5af_0.png", "image_2": null, "question": "Is stripe noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "def579ed-139c-466b-9312-5e4c1aa6e3bb", "image_1": "Perception/single/def579ed-139c-466b-9312-5e4c1aa6e3bb_0.png", "image_2": null, "question": "Does haze obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "22899f59-6043-4d88-b6f0-e0ed47ff64c1", "image_1": "Perception/single/22899f59-6043-4d88-b6f0-e0ed47ff64c1_0.png", "image_2": null, "question": "Does dead pixel reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b4db03aa-4ee5-42ba-af51-e84b88739f3f", "image_1": "Perception/single/b4db03aa-4ee5-42ba-af51-e84b88739f3f_0.png", "image_2": null, "question": "Does dead pixel result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "a1fdfc10-5709-4970-a4cd-adbf859c7dd1", "image_1": "Perception/single/a1fdfc10-5709-4970-a4cd-adbf859c7dd1_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "20ec058b-0cc4-420e-bf30-31487754891d", "image_1": "Perception/single/20ec058b-0cc4-420e-bf30-31487754891d_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "13d27f4b-8d06-45ef-a690-b8366554d75a", "image_1": "Perception/single/13d27f4b-8d06-45ef-a690-b8366554d75a_0.png", "image_2": null, "question": "Is the image impacted by dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "0284a067-304c-43a5-a9bc-b155fa3edbe4", "image_1": "Perception/single/0284a067-304c-43a5-a9bc-b155fa3edbe4_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "619283dc-9629-40d5-a8e1-adf927350e66", "image_1": "Perception/single/619283dc-9629-40d5-a8e1-adf927350e66_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "daed8217-bceb-497f-851a-9cef5182e9e5", "image_1": "Perception/single/daed8217-bceb-497f-851a-9cef5182e9e5_0.png", "image_2": null, "question": "Is dead pixel a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "48707597-fa26-4ab5-b77b-023a8b3b8dbf", "image_1": "Perception/single/48707597-fa26-4ab5-b77b-023a8b3b8dbf_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "b67a4083-10c9-4b55-8105-d26baa4206c8", "image_1": "Perception/single/b67a4083-10c9-4b55-8105-d26baa4206c8_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "186c8f7a-0cc7-4f9f-a913-d358a102b511", "image_1": "Perception/single/186c8f7a-0cc7-4f9f-a913-d358a102b511_0.png", "image_2": null, "question": "Can spatially correlated noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e6a3179c-a841-4f73-b414-718c006e9298", "image_1": "Perception/single/e6a3179c-a841-4f73-b414-718c006e9298_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c8031c13-1d90-4ac6-9ea1-82db5477fb4c", "image_1": "Perception/single/c8031c13-1d90-4ac6-9ea1-82db5477fb4c_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "4fd830c5-0aa0-410d-88f7-e818231fd24d", "image_1": "Perception/single/4fd830c5-0aa0-410d-88f7-e818231fd24d_0.png", "image_2": null, "question": "Does motion blur reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "827147da-096b-4aeb-9bfd-29820bedadb1", "image_1": "Perception/single/827147da-096b-4aeb-9bfd-29820bedadb1_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "fba9e4ed-56e0-461d-b109-6e0474b37f7f", "image_1": "Perception/single/fba9e4ed-56e0-461d-b109-6e0474b37f7f_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "d7ab92a6-d704-4b3a-b719-b3ca99143e95", "image_1": "Perception/single/d7ab92a6-d704-4b3a-b719-b3ca99143e95_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "074f68d3-fd5d-4360-b6f4-11b1140e0db2", "image_1": "Perception/single/074f68d3-fd5d-4360-b6f4-11b1140e0db2_0.png", "image_2": null, "question": "Is image stretching present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "2e548278-66d0-46d1-9870-26e3edca6685", "image_1": "Perception/single/2e548278-66d0-46d1-9870-26e3edca6685_0.png", "image_2": null, "question": "Is dead pixel a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0d9a91a2-3c3e-41c1-b046-a83f3471215b", "image_1": "Perception/single/0d9a91a2-3c3e-41c1-b046-a83f3471215b_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "3e0905c4-c314-4218-9a48-76938fe19a9a", "image_1": "Perception/single/3e0905c4-c314-4218-9a48-76938fe19a9a_0.png", "image_2": null, "question": "Is missing tiles a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4db3bc08-e456-4c48-b2d1-8bde745d6f09", "image_1": "Perception/single/4db3bc08-e456-4c48-b2d1-8bde745d6f09_0.png", "image_2": null, "question": "Is there gaussian noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ecd57f51-0a16-445c-a1bc-2359f7d7ce8a", "image_1": "Perception/single/ecd57f51-0a16-445c-a1bc-2359f7d7ce8a_0.png", "image_2": null, "question": "Is image compression present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "292c583f-7fdf-42b2-abaa-1f87bb896115", "image_1": "Perception/single/292c583f-7fdf-42b2-abaa-1f87bb896115_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "b41c6e7e-01a8-4005-951c-2c799f4d1056", "image_1": "Perception/single/b41c6e7e-01a8-4005-951c-2c799f4d1056_0.png", "image_2": null, "question": "Does dead pixel obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "2265bb38-0e5c-49d0-a816-4a138e07c436", "image_1": "Perception/single/2265bb38-0e5c-49d0-a816-4a138e07c436_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "abe8a37e-37db-4555-a187-d9a63dd469b8", "image_1": "Perception/single/abe8a37e-37db-4555-a187-d9a63dd469b8_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "6b54bc64-82cf-422b-9451-7e6af75af021", "image_1": "Perception/single/6b54bc64-82cf-422b-9451-7e6af75af021_0.png", "image_2": null, "question": "Does dead pixel reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "45bbbfb0-9839-4216-85f1-13187aafd5d9", "image_1": "Perception/single/45bbbfb0-9839-4216-85f1-13187aafd5d9_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a37f1f84-3f3b-4aca-83e5-906cd817cb74", "image_1": "Perception/single/a37f1f84-3f3b-4aca-83e5-906cd817cb74_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "00c7e2c1-1fb2-479b-8522-e96351f712af", "image_1": "Perception/single/00c7e2c1-1fb2-479b-8522-e96351f712af_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "988d9bda-77d0-4e84-a0f0-46c56d949a82", "image_1": "Perception/single/988d9bda-77d0-4e84-a0f0-46c56d949a82_0.png", "image_2": null, "question": "Does stripe noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "6778a810-968f-4aa7-b6d9-9e521f088e7b", "image_1": "Perception/single/6778a810-968f-4aa7-b6d9-9e521f088e7b_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "3a7787db-ca88-4f53-acc5-2401db36c879", "image_1": "Perception/single/3a7787db-ca88-4f53-acc5-2401db36c879_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "900080b3-20d9-4394-9807-6f28e2233077", "image_1": "Perception/single/900080b3-20d9-4394-9807-6f28e2233077_0.png", "image_2": null, "question": "Does image stretching obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "11aa8bdc-9494-4856-b27f-58a8dcc45c93", "image_1": "Perception/single/11aa8bdc-9494-4856-b27f-58a8dcc45c93_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a91f0577-c2b6-4f40-9241-22d82c987d40", "image_1": "Perception/single/a91f0577-c2b6-4f40-9241-22d82c987d40_0.png", "image_2": null, "question": "Does dead pixel reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "826e3a6c-8559-4c5c-a5b1-8282a589e572", "image_1": "Perception/single/826e3a6c-8559-4c5c-a5b1-8282a589e572_0.png", "image_2": null, "question": "Does dead pixel interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "93edf44d-0e57-429b-890e-bceee0b7f4d3", "image_1": "Perception/single/93edf44d-0e57-429b-890e-bceee0b7f4d3_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1ea4e726-257d-4322-bc9f-605536ee280d", "image_1": "Perception/single/1ea4e726-257d-4322-bc9f-605536ee280d_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "e5150dec-9999-46ee-8f03-f5d5e25e0f89", "image_1": "Perception/single/e5150dec-9999-46ee-8f03-f5d5e25e0f89_0.png", "image_2": null, "question": "Is there dead pixel present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "3172694d-86f9-449b-a07f-64481a1604d9", "image_1": "Perception/single/3172694d-86f9-449b-a07f-64481a1604d9_0.png", "image_2": null, "question": "Does dead pixel obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "0492d39e-dac0-45f1-8514-d339b1b48010", "image_1": "Perception/single/0492d39e-dac0-45f1-8514-d339b1b48010_0.png", "image_2": null, "question": "Is motion blur the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "370ae4a6-2aca-4c4b-8547-0cb40a2407d6", "image_1": "Perception/single/370ae4a6-2aca-4c4b-8547-0cb40a2407d6_0.png", "image_2": null, "question": "Does dead pixel interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "5d0d1dee-a6bb-4a18-ab7c-59bc1d024144", "image_1": "Perception/single/5d0d1dee-a6bb-4a18-ab7c-59bc1d024144_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "410cb231-5fbb-466b-b5e1-a8bca82156ff", "image_1": "Perception/single/410cb231-5fbb-466b-b5e1-a8bca82156ff_0.png", "image_2": null, "question": "Is gaussian noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "7e992693-2d97-479b-8be0-dafb1a486fb8", "image_1": "Perception/single/7e992693-2d97-479b-8be0-dafb1a486fb8_0.png", "image_2": null, "question": "Is missing tiles the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "ce81c044-b3f3-4c1e-a6f6-d8ca65a9359c", "image_1": "Perception/single/ce81c044-b3f3-4c1e-a6f6-d8ca65a9359c_0.png", "image_2": null, "question": "Is dead pixel a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "119367db-cdbd-4a40-8c23-7d2c46aa0d60", "image_1": "Perception/single/119367db-cdbd-4a40-8c23-7d2c46aa0d60_0.png", "image_2": null, "question": "Is dead pixel apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "8600539c-d1ff-4acd-b020-7ff044e172ff", "image_1": "Perception/single/8600539c-d1ff-4acd-b020-7ff044e172ff_0.png", "image_2": null, "question": "Does cloud reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f5f320ad-60a3-41e3-9fe4-59cc846c8c1f", "image_1": "Perception/single/f5f320ad-60a3-41e3-9fe4-59cc846c8c1f_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "61207b7b-231d-4bf8-b740-2d499cce68f1", "image_1": "Perception/single/61207b7b-231d-4bf8-b740-2d499cce68f1_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "7f52c416-2ab1-4c87-83e9-af5879d05923", "image_1": "Perception/single/7f52c416-2ab1-4c87-83e9-af5879d05923_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d08a4776-fe7c-484a-8eba-7b18776be877", "image_1": "Perception/single/d08a4776-fe7c-484a-8eba-7b18776be877_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "bc9a34ef-501a-41f8-bf82-e8de6839480d", "image_1": "Perception/single/bc9a34ef-501a-41f8-bf82-e8de6839480d_0.png", "image_2": null, "question": "Does haze result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "c8f61e76-2f22-4055-88ef-5a58bee2ceca", "image_1": "Perception/single/c8f61e76-2f22-4055-88ef-5a58bee2ceca_0.png", "image_2": null, "question": "Can cloud be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "79ed163e-22e8-43aa-87e4-a4415030f47f", "image_1": "Perception/single/79ed163e-22e8-43aa-87e4-a4415030f47f_0.png", "image_2": null, "question": "Does dead pixel obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "9e1ca48b-338a-4738-b377-f113bd5b9594", "image_1": "Perception/single/9e1ca48b-338a-4738-b377-f113bd5b9594_0.png", "image_2": null, "question": "Does the image exhibit dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "c4ac8c67-2dc9-4661-ad3f-cb88a9d032ac", "image_1": "Perception/single/c4ac8c67-2dc9-4661-ad3f-cb88a9d032ac_0.png", "image_2": null, "question": "Is image stretching apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "c68b9ad7-1b3b-4c12-b19f-8e884ad85f40", "image_1": "Perception/single/c68b9ad7-1b3b-4c12-b19f-8e884ad85f40_0.png", "image_2": null, "question": "Is there gaussian noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e9796e0e-2c3e-4758-938b-84337f0cb04e", "image_1": "Perception/single/e9796e0e-2c3e-4758-938b-84337f0cb04e_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "85891f01-ee7d-4caa-a5ee-748d2ed0b91f", "image_1": "Perception/single/85891f01-ee7d-4caa-a5ee-748d2ed0b91f_0.png", "image_2": null, "question": "Is impulse noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "3e4fad6a-daa5-4e08-a99c-279ce54001a3", "image_1": "Perception/single/3e4fad6a-daa5-4e08-a99c-279ce54001a3_0.png", "image_2": null, "question": "Is the image impacted by dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "30454d15-8511-4795-9480-9461f041d3af", "image_1": "Perception/single/30454d15-8511-4795-9480-9461f041d3af_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "25d9a139-e6ba-40ed-8ff2-b4d5e796790a", "image_1": "Perception/single/25d9a139-e6ba-40ed-8ff2-b4d5e796790a_0.png", "image_2": null, "question": "Does cloud interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "724dfbf1-deef-42c7-acc4-ed9e902916de", "image_1": "Perception/single/724dfbf1-deef-42c7-acc4-ed9e902916de_0.png", "image_2": null, "question": "Is dead pixel a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6dd8532d-6ab1-47bc-865b-c9f0b0e69c35", "image_1": "Perception/single/6dd8532d-6ab1-47bc-865b-c9f0b0e69c35_0.png", "image_2": null, "question": "Does dead pixel reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "fe5c5086-8838-41d2-aebb-9f44d0301c8b", "image_1": "Perception/single/fe5c5086-8838-41d2-aebb-9f44d0301c8b_0.png", "image_2": null, "question": "Does dead pixel compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "e0a6466a-b5ae-4ab4-9f96-cb84e17fa6ba", "image_1": "Perception/single/e0a6466a-b5ae-4ab4-9f96-cb84e17fa6ba_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "238e749a-4a3c-4fdc-bf26-f060caf64874", "image_1": "Perception/single/238e749a-4a3c-4fdc-bf26-f060caf64874_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "bdd613f5-8d03-4fac-ab82-703d0005ed03", "image_1": "Perception/single/bdd613f5-8d03-4fac-ab82-703d0005ed03_0.png", "image_2": null, "question": "Is gaussian blur the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "feef02f5-19b3-4131-b7d3-1a5167490c5b", "image_1": "Perception/single/feef02f5-19b3-4131-b7d3-1a5167490c5b_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "23c553d5-b522-4057-990d-8fb89314a542", "image_1": "Perception/single/23c553d5-b522-4057-990d-8fb89314a542_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "25c03fb2-ce67-4fa8-a07b-9d96c578e991", "image_1": "Perception/single/25c03fb2-ce67-4fa8-a07b-9d96c578e991_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "17d860e0-a658-4b9a-ac62-1c9913c86811", "image_1": "Perception/single/17d860e0-a658-4b9a-ac62-1c9913c86811_0.png", "image_2": null, "question": "Is the image impacted by image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "720db4da-67e9-40d1-bf28-ca300cd18fd9", "image_1": "Perception/single/720db4da-67e9-40d1-bf28-ca300cd18fd9_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "52b95bd0-4ffa-4c3a-a0bc-a49b05defda9", "image_1": "Perception/single/52b95bd0-4ffa-4c3a-a0bc-a49b05defda9_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "187f1c0a-827e-4ae7-96a7-93b4f5f55bd6", "image_1": "Perception/single/187f1c0a-827e-4ae7-96a7-93b4f5f55bd6_0.png", "image_2": null, "question": "Is image stretching visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a3fef256-a4e2-441c-81fd-cd17159a7e50", "image_1": "Perception/single/a3fef256-a4e2-441c-81fd-cd17159a7e50_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "0527ce2a-c183-4214-a9da-e53b0ec32bb3", "image_1": "Perception/single/0527ce2a-c183-4214-a9da-e53b0ec32bb3_0.png", "image_2": null, "question": "Is dead pixel present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "cce1660f-f688-4cab-990e-52f1c0f8f17a", "image_1": "Perception/single/cce1660f-f688-4cab-990e-52f1c0f8f17a_0.png", "image_2": null, "question": "Does dead pixel compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "e72391ba-826f-4759-9417-b5e072a496f9", "image_1": "Perception/single/e72391ba-826f-4759-9417-b5e072a496f9_0.png", "image_2": null, "question": "Is dead pixel a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "72e498a5-09f7-4c0f-af3a-9ab501954dde", "image_1": "Perception/single/72e498a5-09f7-4c0f-af3a-9ab501954dde_0.png", "image_2": null, "question": "Can impulse noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d82eaa5b-fc4a-48a1-9256-808cb04971cb", "image_1": "Perception/single/d82eaa5b-fc4a-48a1-9256-808cb04971cb_0.png", "image_2": null, "question": "Is deadline noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "de59f6b4-77d8-43de-9034-951af4006fa5", "image_1": "Perception/single/de59f6b4-77d8-43de-9034-951af4006fa5_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "B"}
{"id": "16b0834a-0dcd-4c15-98ac-b43c71c35b5d", "image_1": "Perception/single/16b0834a-0dcd-4c15-98ac-b43c71c35b5d_0.png", "image_2": null, "question": "Is dead pixel a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b103d1d4-4941-4e88-9792-f6adc31f3b26", "image_1": "Perception/single/b103d1d4-4941-4e88-9792-f6adc31f3b26_0.png", "image_2": null, "question": "Is image compression apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "5c5d8729-353b-4acf-9d82-291e068c2f61", "image_1": "Perception/single/5c5d8729-353b-4acf-9d82-291e068c2f61_0.png", "image_2": null, "question": "Is missing tiles the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "a8092add-cc18-47b8-b717-246724f2e6ce", "image_1": "Perception/single/a8092add-cc18-47b8-b717-246724f2e6ce_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "74d7ca97-0a8b-4d92-8253-997820b2e695", "image_1": "Perception/single/74d7ca97-0a8b-4d92-8253-997820b2e695_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "b81974cc-15fc-43c1-8308-944f995e2b60", "image_1": "Perception/single/b81974cc-15fc-43c1-8308-944f995e2b60_0.png", "image_2": null, "question": "Is impulse noise the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "e38173a3-5db6-4de5-b2be-dc06c094db10", "image_1": "Perception/single/e38173a3-5db6-4de5-b2be-dc06c094db10_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "39e79573-6d4b-4435-87a2-0daa1f742fed", "image_1": "Perception/single/39e79573-6d4b-4435-87a2-0daa1f742fed_0.png", "image_2": null, "question": "Is the image impacted by missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "2e0f9666-3e2f-45b6-a2fe-c2dc9072cec0", "image_1": "Perception/single/2e0f9666-3e2f-45b6-a2fe-c2dc9072cec0_0.png", "image_2": null, "question": "Is there missing tiles present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b8a8d234-81e6-4b9e-88f2-481ce436ca32", "image_1": "Perception/single/b8a8d234-81e6-4b9e-88f2-481ce436ca32_0.png", "image_2": null, "question": "Does this image contain missing tiles?\nA.Yes\nB.No", "answer": "A"}
{"id": "fd7837dd-180c-4e63-8fe6-a756d44fdd87", "image_1": "Perception/single/fd7837dd-180c-4e63-8fe6-a756d44fdd87_0.png", "image_2": null, "question": "Does missing tiles affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "0f98547a-2785-44d7-aa9b-5e020efb5833", "image_1": "Perception/single/0f98547a-2785-44d7-aa9b-5e020efb5833_0.png", "image_2": null, "question": "Does stripe noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "d5d37b57-33c4-495b-bb41-2aace680a831", "image_1": "Perception/single/d5d37b57-33c4-495b-bb41-2aace680a831_0.png", "image_2": null, "question": "Does missing tiles compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "d4c12a2d-0995-429e-ade3-9ad147eecec5", "image_1": "Perception/single/d4c12a2d-0995-429e-ade3-9ad147eecec5_0.png", "image_2": null, "question": "Is missing tiles a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "1d9c5751-9f7a-4df8-ae60-fae7a7af01b3", "image_1": "Perception/single/1d9c5751-9f7a-4df8-ae60-fae7a7af01b3_0.png", "image_2": null, "question": "Is gaussian blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1b90d7ac-ae75-4249-aa72-1bbc02fa5861", "image_1": "Perception/single/1b90d7ac-ae75-4249-aa72-1bbc02fa5861_0.png", "image_2": null, "question": "Is stripe noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "3461a4b6-a5fa-40eb-9b4b-e605fa18ff23", "image_1": "Perception/single/3461a4b6-a5fa-40eb-9b4b-e605fa18ff23_0.png", "image_2": null, "question": "Is the image impacted by missing tiles?\nA.Yes\nB.No", "answer": "A"}
{"id": "73fe5d33-4369-4553-8af2-4b7970b498c3", "image_1": "Perception/single/73fe5d33-4369-4553-8af2-4b7970b498c3_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "6f5868bb-576e-4b4e-8d96-e3d5e915670a", "image_1": "Perception/single/6f5868bb-576e-4b4e-8d96-e3d5e915670a_0.png", "image_2": null, "question": "Does missing tiles result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "0dba572a-f725-4392-b3ff-fce0ef70face", "image_1": "Perception/single/0dba572a-f725-4392-b3ff-fce0ef70face_0.png", "image_2": null, "question": "Does missing tiles lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "da1ad4ab-d3fe-41ab-beb2-4a44b63a64c0", "image_1": "Perception/single/da1ad4ab-d3fe-41ab-beb2-4a44b63a64c0_0.png", "image_2": null, "question": "Is gaussian blur visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "37fa4a01-01f9-4857-bfa1-8dc555731884", "image_1": "Perception/single/37fa4a01-01f9-4857-bfa1-8dc555731884_0.png", "image_2": null, "question": "Is haze the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "a90de896-029f-4878-bc0b-230fae2a038b", "image_1": "Perception/single/a90de896-029f-4878-bc0b-230fae2a038b_0.png", "image_2": null, "question": "Does missing tiles lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "a41070da-7af5-4e17-b440-594e3312508a", "image_1": "Perception/single/a41070da-7af5-4e17-b440-594e3312508a_0.png", "image_2": null, "question": "Is impulse noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "024f1b67-b41c-40ed-9bf7-8137f316984f", "image_1": "Perception/single/024f1b67-b41c-40ed-9bf7-8137f316984f_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "66270464-78d2-45bd-96d7-6e4b8821fdb4", "image_1": "Perception/single/66270464-78d2-45bd-96d7-6e4b8821fdb4_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "de411f77-e785-444e-82b1-ce6f6e263867", "image_1": "Perception/single/de411f77-e785-444e-82b1-ce6f6e263867_0.png", "image_2": null, "question": "Can spatially correlated noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0342ede7-7c4a-4e26-9ef3-c19be045ce45", "image_1": "Perception/single/0342ede7-7c4a-4e26-9ef3-c19be045ce45_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "874e0b46-62e6-4907-abf0-b70f3856a3f1", "image_1": "Perception/single/874e0b46-62e6-4907-abf0-b70f3856a3f1_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ae748748-623e-40a8-ab06-b3d70017567e", "image_1": "Perception/single/ae748748-623e-40a8-ab06-b3d70017567e_0.png", "image_2": null, "question": "Is color distortion responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "79cf7b43-f910-4711-bdef-d7052301b681", "image_1": "Perception/single/79cf7b43-f910-4711-bdef-d7052301b681_0.png", "image_2": null, "question": "Is missing tiles the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "88a5b8d6-77c7-48db-a900-0a3b057b8d06", "image_1": "Perception/single/88a5b8d6-77c7-48db-a900-0a3b057b8d06_0.png", "image_2": null, "question": "Does cloud affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "563b99bf-f533-488b-b535-89c7c6907f2c", "image_1": "Perception/single/563b99bf-f533-488b-b535-89c7c6907f2c_0.png", "image_2": null, "question": "Is missing tiles responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6a2971ad-ca7f-4c10-a20c-6f647637fe38", "image_1": "Perception/single/6a2971ad-ca7f-4c10-a20c-6f647637fe38_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "906e0a76-2799-45e0-8a1b-334592d8459e", "image_1": "Perception/single/906e0a76-2799-45e0-8a1b-334592d8459e_0.png", "image_2": null, "question": "Can missing tiles be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b79b57db-4bf1-493c-81c0-adffe6d10ec3", "image_1": "Perception/single/b79b57db-4bf1-493c-81c0-adffe6d10ec3_0.png", "image_2": null, "question": "Is missing tiles a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "980667a0-d1c0-4cff-ba38-7b0401cf65bb", "image_1": "Perception/single/980667a0-d1c0-4cff-ba38-7b0401cf65bb_0.png", "image_2": null, "question": "Does missing tiles affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "07d90510-2807-4b86-89da-ccb190eed3e5", "image_1": "Perception/single/07d90510-2807-4b86-89da-ccb190eed3e5_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "7d742dbe-1b80-4420-b1c0-1e1eed6fe0ce", "image_1": "Perception/single/7d742dbe-1b80-4420-b1c0-1e1eed6fe0ce_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "02ca0ad5-09d6-47eb-9686-bfd95770e276", "image_1": "Perception/single/02ca0ad5-09d6-47eb-9686-bfd95770e276_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "a03e875e-ead6-4b6a-97f4-00009fefec2c", "image_1": "Perception/single/a03e875e-ead6-4b6a-97f4-00009fefec2c_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "545e7095-2ee5-4058-a986-f5d8ad87ff40", "image_1": "Perception/single/545e7095-2ee5-4058-a986-f5d8ad87ff40_0.png", "image_2": null, "question": "Does missing tiles reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "373ba3b9-af77-4da5-9c79-e1c00227da05", "image_1": "Perception/single/373ba3b9-af77-4da5-9c79-e1c00227da05_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "37134c45-ca7a-406c-8b8a-2b35d21f8a6c", "image_1": "Perception/single/37134c45-ca7a-406c-8b8a-2b35d21f8a6c_0.png", "image_2": null, "question": "Is missing tiles visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "aec294c8-9b28-4699-bbe6-0574103939c0", "image_1": "Perception/single/aec294c8-9b28-4699-bbe6-0574103939c0_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "67796959-1c4e-4846-aa7c-1ec2e00012b9", "image_1": "Perception/single/67796959-1c4e-4846-aa7c-1ec2e00012b9_0.png", "image_2": null, "question": "Does stripe noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "882bdc1f-3f3e-4e50-b122-95febda3cea4", "image_1": "Perception/single/882bdc1f-3f3e-4e50-b122-95febda3cea4_0.png", "image_2": null, "question": "Does missing tiles affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "52fb6fb3-6a73-47ba-94d8-c56608f09145", "image_1": "Perception/single/52fb6fb3-6a73-47ba-94d8-c56608f09145_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ad5bd416-f8c1-4a24-8a85-8826025f10e7", "image_1": "Perception/single/ad5bd416-f8c1-4a24-8a85-8826025f10e7_0.png", "image_2": null, "question": "Is missing tiles responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "17c6f64a-4fa1-4208-b6ee-c71ab037fe8f", "image_1": "Perception/single/17c6f64a-4fa1-4208-b6ee-c71ab037fe8f_0.png", "image_2": null, "question": "Does missing tiles obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "c9e2edc2-33fb-4700-a437-d59b8f99dd72", "image_1": "Perception/single/c9e2edc2-33fb-4700-a437-d59b8f99dd72_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2fc74dda-0880-4cf8-95ec-0c53ae309f61", "image_1": "Perception/single/2fc74dda-0880-4cf8-95ec-0c53ae309f61_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "e80c83ab-1133-43e4-a034-3f3f08ef2f15", "image_1": "Perception/single/e80c83ab-1133-43e4-a034-3f3f08ef2f15_0.png", "image_2": null, "question": "Is missing tiles responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "97504318-add4-427b-a1fd-fcbb5ed6c647", "image_1": "Perception/single/97504318-add4-427b-a1fd-fcbb5ed6c647_0.png", "image_2": null, "question": "Does missing tiles obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "731ef80f-0c9e-4993-85fd-df6e6e9e15d6", "image_1": "Perception/single/731ef80f-0c9e-4993-85fd-df6e6e9e15d6_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a559c71c-0848-470c-9252-e8d612e268ca", "image_1": "Perception/single/a559c71c-0848-470c-9252-e8d612e268ca_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2a188526-6752-420d-bc66-76906ac4a7a0", "image_1": "Perception/single/2a188526-6752-420d-bc66-76906ac4a7a0_0.png", "image_2": null, "question": "Is missing tiles the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "8188b3f7-e57c-40ef-8d40-a711717d6f28", "image_1": "Perception/single/8188b3f7-e57c-40ef-8d40-a711717d6f28_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "f3929024-7861-441a-a90f-76151012039a", "image_1": "Perception/single/f3929024-7861-441a-a90f-76151012039a_0.png", "image_2": null, "question": "Does missing tiles affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "e7ceaef1-d0f9-4fd9-9892-95a4bd1ed807", "image_1": "Perception/single/e7ceaef1-d0f9-4fd9-9892-95a4bd1ed807_0.png", "image_2": null, "question": "Does stripe noise result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "861ee43a-eb83-4ccb-ac17-c2875c265a53", "image_1": "Perception/single/861ee43a-eb83-4ccb-ac17-c2875c265a53_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "be314d20-a18a-4a7e-862b-0c5afde830db", "image_1": "Perception/single/be314d20-a18a-4a7e-862b-0c5afde830db_0.png", "image_2": null, "question": "Is dead pixel apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "c4d3688b-c25f-48f9-8366-8914c767060b", "image_1": "Perception/single/c4d3688b-c25f-48f9-8366-8914c767060b_0.png", "image_2": null, "question": "Does cloud reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a0b732c3-c68b-4e75-abcf-e5fa2474418f", "image_1": "Perception/single/a0b732c3-c68b-4e75-abcf-e5fa2474418f_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "e2437ccc-ff74-4996-88e9-09c11c8fc14b", "image_1": "Perception/single/e2437ccc-ff74-4996-88e9-09c11c8fc14b_0.png", "image_2": null, "question": "Does the image exhibit missing tiles?\nA.Yes\nB.No", "answer": "A"}
{"id": "2e26d62b-d576-44d9-bcea-81e54d018758", "image_1": "Perception/single/2e26d62b-d576-44d9-bcea-81e54d018758_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "21e8773a-d358-4246-8f87-b7e5f1d810cd", "image_1": "Perception/single/21e8773a-d358-4246-8f87-b7e5f1d810cd_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "2d6194c6-beb6-4c87-b9f8-f23e873d724c", "image_1": "Perception/single/2d6194c6-beb6-4c87-b9f8-f23e873d724c_0.png", "image_2": null, "question": "Does missing tiles result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "0dfcb8cd-3fc7-4894-b3ac-f0dddaa25575", "image_1": "Perception/single/0dfcb8cd-3fc7-4894-b3ac-f0dddaa25575_0.png", "image_2": null, "question": "Is the image impacted by missing tiles?\nA.Yes\nB.No", "answer": "A"}
{"id": "f3d3071e-9a36-48c0-9463-fdfb515c5f3a", "image_1": "Perception/single/f3d3071e-9a36-48c0-9463-fdfb515c5f3a_0.png", "image_2": null, "question": "Does missing tiles interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "cf90f13d-4319-42f0-9297-32a1bc7fb70b", "image_1": "Perception/single/cf90f13d-4319-42f0-9297-32a1bc7fb70b_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "5a1411b7-622e-4d03-a6d5-d6f0a0357a5c", "image_1": "Perception/single/5a1411b7-622e-4d03-a6d5-d6f0a0357a5c_0.png", "image_2": null, "question": "Does impulse noise compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "fcb05ec2-0b2a-4092-9aa1-57bf713b3eaa", "image_1": "Perception/single/fcb05ec2-0b2a-4092-9aa1-57bf713b3eaa_0.png", "image_2": null, "question": "Is missing tiles apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "b30f0243-444d-492e-8f37-5c74dfdb4956", "image_1": "Perception/single/b30f0243-444d-492e-8f37-5c74dfdb4956_0.png", "image_2": null, "question": "Does missing tiles affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "961e628f-3223-49c7-a31b-d7d12e54824c", "image_1": "Perception/single/961e628f-3223-49c7-a31b-d7d12e54824c_0.png", "image_2": null, "question": "Is motion blur the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "588ab262-1d9d-4195-840d-416fb7563b22", "image_1": "Perception/single/588ab262-1d9d-4195-840d-416fb7563b22_0.png", "image_2": null, "question": "Is impulse noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4d9bb036-cac3-46dd-8b5a-4129f8f5ce8a", "image_1": "Perception/single/4d9bb036-cac3-46dd-8b5a-4129f8f5ce8a_0.png", "image_2": null, "question": "Is haze a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "b7384157-e6c8-472e-b804-35eebfcb5fdc", "image_1": "Perception/single/b7384157-e6c8-472e-b804-35eebfcb5fdc_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "ef0516d0-96fc-438f-8e20-dd4c927a3071", "image_1": "Perception/single/ef0516d0-96fc-438f-8e20-dd4c927a3071_0.png", "image_2": null, "question": "Does missing tiles interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "fab58a3c-6d82-47f6-a69c-6e0278907f3a", "image_1": "Perception/single/fab58a3c-6d82-47f6-a69c-6e0278907f3a_0.png", "image_2": null, "question": "Is missing tiles a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "318c9031-550f-464a-b0aa-64ba91e1421f", "image_1": "Perception/single/318c9031-550f-464a-b0aa-64ba91e1421f_0.png", "image_2": null, "question": "Does color distortion compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "569b13a1-aea8-4f7a-b17f-11b0a85f480c", "image_1": "Perception/single/569b13a1-aea8-4f7a-b17f-11b0a85f480c_0.png", "image_2": null, "question": "Does missing tiles lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "2cbb30cb-f7df-406f-b0a1-c7fea46a0309", "image_1": "Perception/single/2cbb30cb-f7df-406f-b0a1-c7fea46a0309_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "B"}
{"id": "d755701f-a840-45cf-a257-082e3d5364a7", "image_1": "Perception/single/d755701f-a840-45cf-a257-082e3d5364a7_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "5ad318c0-069b-413c-9f03-23eb0cc2217c", "image_1": "Perception/single/5ad318c0-069b-413c-9f03-23eb0cc2217c_0.png", "image_2": null, "question": "Does missing tiles lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "7c142edd-7508-4391-b0df-7e28cccc490f", "image_1": "Perception/single/7c142edd-7508-4391-b0df-7e28cccc490f_0.png", "image_2": null, "question": "Is missing tiles the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "ef4b28ef-e71a-4b98-9f37-d40f7459668b", "image_1": "Perception/single/ef4b28ef-e71a-4b98-9f37-d40f7459668b_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "e5c3d056-f1ce-476b-a947-c29ee561c012", "image_1": "Perception/single/e5c3d056-f1ce-476b-a947-c29ee561c012_0.png", "image_2": null, "question": "Is haze visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "16f53efd-ba18-436e-aa75-745ec14bb78f", "image_1": "Perception/single/16f53efd-ba18-436e-aa75-745ec14bb78f_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "4859e3f2-2b06-43d6-b0c4-6e56e799d2af", "image_1": "Perception/single/4859e3f2-2b06-43d6-b0c4-6e56e799d2af_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "7b579b71-367c-4294-b31f-137c695ecf52", "image_1": "Perception/single/7b579b71-367c-4294-b31f-137c695ecf52_0.png", "image_2": null, "question": "Is missing tiles visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "616f1428-19f5-4496-9deb-eda4b301fe2b", "image_1": "Perception/single/616f1428-19f5-4496-9deb-eda4b301fe2b_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "e0adf6f9-22d1-4d8f-9b91-d8e00377083a", "image_1": "Perception/single/e0adf6f9-22d1-4d8f-9b91-d8e00377083a_0.png", "image_2": null, "question": "Is dead pixel present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "d8d70ada-4422-4120-b2eb-5708a2bede27", "image_1": "Perception/single/d8d70ada-4422-4120-b2eb-5708a2bede27_0.png", "image_2": null, "question": "Does dead pixel compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "ea03a020-fda5-4d8a-91c0-a68d2f19bf91", "image_1": "Perception/single/ea03a020-fda5-4d8a-91c0-a68d2f19bf91_0.png", "image_2": null, "question": "Is dead pixel a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d472453b-23cf-4e40-b708-cf793943a353", "image_1": "Perception/single/d472453b-23cf-4e40-b708-cf793943a353_0.png", "image_2": null, "question": "Does the image exhibit missing tiles?\nA.Yes\nB.No", "answer": "A"}
{"id": "889383b2-cd93-4083-8db5-d8afe1534aff", "image_1": "Perception/single/889383b2-cd93-4083-8db5-d8afe1534aff_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "815bcc36-3330-4709-a94b-868af36169c2", "image_1": "Perception/single/815bcc36-3330-4709-a94b-868af36169c2_0.png", "image_2": null, "question": "Is missing tiles responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "7471afa1-5b50-4006-9eef-f6de03edc263", "image_1": "Perception/single/7471afa1-5b50-4006-9eef-f6de03edc263_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "B"}
{"id": "240d147e-30e7-44fe-af00-a8ebc40fa707", "image_1": "Perception/single/240d147e-30e7-44fe-af00-a8ebc40fa707_0.png", "image_2": null, "question": "Is missing tiles a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "26b9273b-d77a-4adf-b051-3869357ff86c", "image_1": "Perception/single/26b9273b-d77a-4adf-b051-3869357ff86c_0.png", "image_2": null, "question": "Is missing tiles the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "f44f1ede-647e-4910-acb0-45f5ebbde7b7", "image_1": "Perception/single/f44f1ede-647e-4910-acb0-45f5ebbde7b7_0.png", "image_2": null, "question": "Is missing tiles apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "b63dcd66-abfc-4231-9cff-a9608a3449b4", "image_1": "Perception/single/b63dcd66-abfc-4231-9cff-a9608a3449b4_0.png", "image_2": null, "question": "Are missing tiles and motion blur present together in the scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "6ce13f6d-7d55-419a-9f19-c49a8dbfa565", "image_1": "Perception/single/6ce13f6d-7d55-419a-9f19-c49a8dbfa565_0.png", "image_2": null, "question": "Does this image contain cloud and dead pixel simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "fdcf147d-bfd3-4a5e-be80-39cd746b7520", "image_1": "Perception/single/fdcf147d-bfd3-4a5e-be80-39cd746b7520_0.png", "image_2": null, "question": "Does this image contain missing tiles and image stretching simultaneously?\nA.Yes\nB.No", "answer": "B"}
{"id": "6633b9f7-0ada-467b-8b11-279226e48dfd", "image_1": "Perception/single/6633b9f7-0ada-467b-8b11-279226e48dfd_0.png", "image_2": null, "question": "Are motion blur and image compression present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "34f94aa8-d287-432f-af3c-ce421b93e4df", "image_1": "Perception/single/34f94aa8-d287-432f-af3c-ce421b93e4df_0.png", "image_2": null, "question": "Is the image impacted by the combination of image compression and gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "fab2bca9-7945-495a-9447-87575b252e12", "image_1": "Perception/single/fab2bca9-7945-495a-9447-87575b252e12_0.png", "image_2": null, "question": "Can color distortion and motion blur be observed at the same time in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "676ef456-125d-44f6-82df-d1d43ff53294", "image_1": "Perception/single/676ef456-125d-44f6-82df-d1d43ff53294_0.png", "image_2": null, "question": "Does this image contain haze and motion blur simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "5b5b79d5-7021-4518-892f-284ace75218a", "image_1": "Perception/single/5b5b79d5-7021-4518-892f-284ace75218a_0.png", "image_2": null, "question": "Can gaussian blur and haze be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "93f5b8fb-bd3a-4732-a1db-f8f9e7833938", "image_1": "Perception/single/93f5b8fb-bd3a-4732-a1db-f8f9e7833938_0.png", "image_2": null, "question": "Do visual cues of haze and image compression appear in the image?\nA.No\nB.Yes", "answer": "B"}
{"id": "fa237075-9b6f-4e8c-8f93-d63ebbd1e81e", "image_1": "Perception/single/fa237075-9b6f-4e8c-8f93-d63ebbd1e81e_0.png", "image_2": null, "question": "Can impulse noise and missing tiles be observed at the same time in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d7f3d375-5651-4001-b964-edd383c7b38c", "image_1": "Perception/single/d7f3d375-5651-4001-b964-edd383c7b38c_0.png", "image_2": null, "question": "Do visual cues of image compression and gaussian blur appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ca2965b0-6823-4667-a672-bfd6bff06355", "image_1": "Perception/single/ca2965b0-6823-4667-a672-bfd6bff06355_0.png", "image_2": null, "question": "Is the image impacted by the combination of cloud and gaussian blur?\nA.No\nB.Yes", "answer": "B"}
{"id": "a43585bf-4278-4d9f-8577-8848391436f4", "image_1": "Perception/single/a43585bf-4278-4d9f-8577-8848391436f4_0.png", "image_2": null, "question": "Does this image contain spatially correlated noise and gaussian blur simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "3fd203b7-fcb1-4232-8607-2c26395472a9", "image_1": "Perception/single/3fd203b7-fcb1-4232-8607-2c26395472a9_0.png", "image_2": null, "question": "Does this image contain dead pixel and cloud simultaneously?\nA.No\nB.Yes", "answer": "A"}
{"id": "1b00fc31-2d05-456c-ba9f-52863dfc4362", "image_1": "Perception/single/1b00fc31-2d05-456c-ba9f-52863dfc4362_0.png", "image_2": null, "question": "Does this image contain image stretching and image compression simultaneously?\nA.Yes\nB.No", "answer": "B"}
{"id": "00fc510f-2d25-424a-aea4-555c6f21a5ce", "image_1": "Perception/single/00fc510f-2d25-424a-aea4-555c6f21a5ce_0.png", "image_2": null, "question": "Do visual cues of image compression and gaussian blur appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "57465363-f9a2-4c64-97c5-b764f460e6d6", "image_1": "Perception/single/57465363-f9a2-4c64-97c5-b764f460e6d6_0.png", "image_2": null, "question": "Can gaussian blur and deadline noise be observed at the same time in this image?\nA.No\nB.Yes", "answer": "A"}
{"id": "ee26d261-23a1-4c36-89d8-1414e4525fed", "image_1": "Perception/single/ee26d261-23a1-4c36-89d8-1414e4525fed_0.png", "image_2": null, "question": "Are gaussian noise and image compression present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "bdea3d29-fb7b-456e-b656-a5b91ca59367", "image_1": "Perception/single/bdea3d29-fb7b-456e-b656-a5b91ca59367_0.png", "image_2": null, "question": "Do visual cues of image compression and cloud appear in the image?\nA.No\nB.Yes", "answer": "B"}
{"id": "a7cad457-8a9a-4d31-b158-353001539036", "image_1": "Perception/single/a7cad457-8a9a-4d31-b158-353001539036_0.png", "image_2": null, "question": "Do visual cues of haze and image compression appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "18d5fba4-1df0-430c-b38d-cac914b6b0db", "image_1": "Perception/single/18d5fba4-1df0-430c-b38d-cac914b6b0db_0.png", "image_2": null, "question": "Is the image impacted by the combination of motion blur and image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "c87a9505-5a68-4bbd-8a40-8ef5920657f9", "image_1": "Perception/single/c87a9505-5a68-4bbd-8a40-8ef5920657f9_0.png", "image_2": null, "question": "Can dead pixel and spatially correlated noise be observed at the same time in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "04a52c4b-9024-4e6e-ac92-b40d86e0e521", "image_1": "Perception/single/04a52c4b-9024-4e6e-ac92-b40d86e0e521_0.png", "image_2": null, "question": "Do visual cues of dead pixel and gaussian blur appear in the image?\nA.No\nB.Yes", "answer": "B"}
{"id": "fe21bf08-26e7-4dff-b7f0-ae3d253e05ef", "image_1": "Perception/single/fe21bf08-26e7-4dff-b7f0-ae3d253e05ef_0.png", "image_2": null, "question": "Do visual cues of image compression and image stretching appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "812e9cef-2261-4a72-98b4-b8e1ef0375ae", "image_1": "Perception/single/812e9cef-2261-4a72-98b4-b8e1ef0375ae_0.png", "image_2": null, "question": "Are cloud and image compression present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "52458181-20cf-465e-85d7-7e0308e7f3fc", "image_1": "Perception/single/52458181-20cf-465e-85d7-7e0308e7f3fc_0.png", "image_2": null, "question": "Are motion blur and image compression present together in the scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "2d38f97b-689f-400c-b027-a0fac74c4db7", "image_1": "Perception/single/2d38f97b-689f-400c-b027-a0fac74c4db7_0.png", "image_2": null, "question": "Are cloud and dead pixel present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "dd866f5a-9619-48c5-b33e-ba4b04678771", "image_1": "Perception/single/dd866f5a-9619-48c5-b33e-ba4b04678771_0.png", "image_2": null, "question": "Do visual cues of dead pixel and haze appear in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "609cad1b-23eb-4068-8250-d562c89a9105", "image_1": "Perception/single/609cad1b-23eb-4068-8250-d562c89a9105_0.png", "image_2": null, "question": "Are deadline noise and image stretching present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "526eb459-c83a-4fd2-8bf2-5315d7c2e320", "image_1": "Perception/single/526eb459-c83a-4fd2-8bf2-5315d7c2e320_0.png", "image_2": null, "question": "Is the image impacted by the combination of dead pixel and image stretching?\nA.No\nB.Yes", "answer": "A"}
{"id": "02e65812-7f68-4212-bc1b-c9512e3acd64", "image_1": "Perception/single/02e65812-7f68-4212-bc1b-c9512e3acd64_0.png", "image_2": null, "question": "Do visual cues of haze and gaussian blur appear in the image?\nA.No\nB.Yes", "answer": "B"}
{"id": "914869be-2c99-4190-81c1-8c7fd5cefba3", "image_1": "Perception/single/914869be-2c99-4190-81c1-8c7fd5cefba3_0.png", "image_2": null, "question": "Are spatially correlated noise and image compression present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "817bd592-8b03-4cd8-aa31-2129062c7518", "image_1": "Perception/single/817bd592-8b03-4cd8-aa31-2129062c7518_0.png", "image_2": null, "question": "Are color distortion and cloud present together in the scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "b89d52e2-8580-4680-8050-72fc86b3cd3e", "image_1": "Perception/single/b89d52e2-8580-4680-8050-72fc86b3cd3e_0.png", "image_2": null, "question": "Can haze and gaussian blur be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a95d8d38-8de6-45c3-b42f-a73e8cd6d6d3", "image_1": "Perception/single/a95d8d38-8de6-45c3-b42f-a73e8cd6d6d3_0.png", "image_2": null, "question": "Can image stretching and image compression be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a71b5613-c695-4f25-ba86-baaa3a74b74c", "image_1": "Perception/single/a71b5613-c695-4f25-ba86-baaa3a74b74c_0.png", "image_2": null, "question": "Is the image impacted by the combination of gaussian blur and cloud?\nA.No\nB.Yes", "answer": "B"}
{"id": "0a435e96-5ce8-4865-979d-7093f26a6361", "image_1": "Perception/single/0a435e96-5ce8-4865-979d-7093f26a6361_0.png", "image_2": null, "question": "Is the image impacted by the combination of haze and color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "fa668c48-aba0-49ec-b706-32dd4b4a28b0", "image_1": "Perception/single/fa668c48-aba0-49ec-b706-32dd4b4a28b0_0.png", "image_2": null, "question": "Do visual cues of image stretching and deadline noise appear in the image?\nA.No\nB.Yes", "answer": "B"}
{"id": "db97faff-1676-442b-932f-d3b2e0ec2000", "image_1": "Perception/single/db97faff-1676-442b-932f-d3b2e0ec2000_0.png", "image_2": null, "question": "Do visual cues of image stretching and image compression appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "372fe1d3-e4a5-4da0-b1e9-d1881470d383", "image_1": "Perception/single/372fe1d3-e4a5-4da0-b1e9-d1881470d383_0.png", "image_2": null, "question": "Are spatially correlated noise and motion blur present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "e641d902-9bfb-447b-b29e-79223d226098", "image_1": "Perception/single/e641d902-9bfb-447b-b29e-79223d226098_0.png", "image_2": null, "question": "Does this image contain image stretching and gaussian blur simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "6d3fc2e4-dbb1-46b5-8f5f-643a2628400b", "image_1": "Perception/single/6d3fc2e4-dbb1-46b5-8f5f-643a2628400b_0.png", "image_2": null, "question": "Do visual cues of dead pixel and image compression appear in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "37421010-6fab-4f39-981b-a3a88ce3ce7c", "image_1": "Perception/single/37421010-6fab-4f39-981b-a3a88ce3ce7c_0.png", "image_2": null, "question": "Do visual cues of dead pixel and color distortion appear in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "75abf03d-8e00-4228-b667-bff8efab72e9", "image_1": "Perception/single/75abf03d-8e00-4228-b667-bff8efab72e9_0.png", "image_2": null, "question": "Is the image impacted by the combination of motion blur and gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "e6837e9c-8a40-4637-b185-d79de4b7328c", "image_1": "Perception/single/e6837e9c-8a40-4637-b185-d79de4b7328c_0.png", "image_2": null, "question": "Is the image impacted by the combination of gaussian blur and spatially correlated noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "bc960606-10d4-499f-b365-f85780ea5228", "image_1": "Perception/single/bc960606-10d4-499f-b365-f85780ea5228_0.png", "image_2": null, "question": "Do visual cues of image compression and cloud appear in the image?\nA.No\nB.Yes", "answer": "A"}
{"id": "39aeb622-6f34-40f7-9285-03630a542f6b", "image_1": "Perception/single/39aeb622-6f34-40f7-9285-03630a542f6b_0.png", "image_2": null, "question": "Does this image contain dead pixel and deadline noise simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "9c75c810-3ed6-4e5a-abcb-946898a48fc5", "image_1": "Perception/single/9c75c810-3ed6-4e5a-abcb-946898a48fc5_0.png", "image_2": null, "question": "Is the image impacted by the combination of cloud and dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "65a42459-1186-45a9-be58-5d7185e5a8db", "image_1": "Perception/single/65a42459-1186-45a9-be58-5d7185e5a8db_0.png", "image_2": null, "question": "Does this image contain missing tiles and image stretching simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "794d4f9f-c7de-4b83-8325-dda62c43b1b8", "image_1": "Perception/single/794d4f9f-c7de-4b83-8325-dda62c43b1b8_0.png", "image_2": null, "question": "Does this image contain image compression and cloud simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "a16d4628-c315-46dd-aee2-c753201edfde", "image_1": "Perception/single/a16d4628-c315-46dd-aee2-c753201edfde_0.png", "image_2": null, "question": "Are image compression and gaussian noise present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "766e37fd-99e5-4142-a9a4-a0bc4185c20d", "image_1": "Perception/single/766e37fd-99e5-4142-a9a4-a0bc4185c20d_0.png", "image_2": null, "question": "Is the image impacted by the combination of dead pixel and cloud?\nA.No\nB.Yes", "answer": "A"}
{"id": "85fe0eda-27a5-425f-a850-56cbc3b6f120", "image_1": "Perception/single/85fe0eda-27a5-425f-a850-56cbc3b6f120_0.png", "image_2": null, "question": "Can color distortion and cloud be observed at the same time in this image?\nA.No\nB.Yes", "answer": "A"}
{"id": "571c19ee-10b9-4cb7-ad56-506f3a719d6d", "image_1": "Perception/single/571c19ee-10b9-4cb7-ad56-506f3a719d6d_0.png", "image_2": null, "question": "Can dead pixel and cloud be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "9fd942ae-932f-4553-9fa9-19b189bcd042", "image_1": "Perception/single/9fd942ae-932f-4553-9fa9-19b189bcd042_0.png", "image_2": null, "question": "Does this image contain color distortion and cloud simultaneously?\nA.Yes\nB.No", "answer": "B"}
{"id": "b405cb4e-b001-4043-a9b9-b2890a68853c", "image_1": "Perception/single/b405cb4e-b001-4043-a9b9-b2890a68853c_0.png", "image_2": null, "question": "Does this image contain image compression and gaussian blur simultaneously?\nA.Yes\nB.No", "answer": "B"}
{"id": "a76a6b87-830d-4ec8-9c0f-e944c5b83b80", "image_1": "Perception/single/a76a6b87-830d-4ec8-9c0f-e944c5b83b80_0.png", "image_2": null, "question": "Are color distortion and image compression present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "647a91aa-61fc-4d59-a060-f3a951495aa1", "image_1": "Perception/single/647a91aa-61fc-4d59-a060-f3a951495aa1_0.png", "image_2": null, "question": "Does this image contain image stretching and motion blur simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "190e3c10-3cd6-403f-9fc6-a5b16e1367f3", "image_1": "Perception/single/190e3c10-3cd6-403f-9fc6-a5b16e1367f3_0.png", "image_2": null, "question": "Are image compression and motion blur present together in the scene?\nA.No\nB.Yes", "answer": "A"}
{"id": "372b5fca-e793-40da-a906-673aa1957a65", "image_1": "Perception/single/372b5fca-e793-40da-a906-673aa1957a65_0.png", "image_2": null, "question": "Is the image impacted by the combination of gaussian noise and image stretching?\nA.Yes\nB.No", "answer": "A"}
{"id": "d5e5c3c2-2a0a-4fb7-ad2b-bca331f8f458", "image_1": "Perception/single/d5e5c3c2-2a0a-4fb7-ad2b-bca331f8f458_0.png", "image_2": null, "question": "Are haze and image stretching present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "f55b9808-e43e-4ed2-ab5d-2615b016fe0b", "image_1": "Perception/single/f55b9808-e43e-4ed2-ab5d-2615b016fe0b_0.png", "image_2": null, "question": "Can motion blur and color distortion be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "041bed6c-60f9-4db3-9637-cae08a0dc8e6", "image_1": "Perception/single/041bed6c-60f9-4db3-9637-cae08a0dc8e6_0.png", "image_2": null, "question": "Does this image contain haze and missing tiles simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "6bfc6cc5-26e1-48e0-aa4e-d204da5b6962", "image_1": "Perception/single/6bfc6cc5-26e1-48e0-aa4e-d204da5b6962_0.png", "image_2": null, "question": "Can image compression and color distortion be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "f80a2c64-c169-45fa-9a83-f0fa85a0b7ea", "image_1": "Perception/single/f80a2c64-c169-45fa-9a83-f0fa85a0b7ea_0.png", "image_2": null, "question": "Can dead pixel and impulse noise be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "56aa778f-a77c-4499-b5d5-f03a52c3308c", "image_1": "Perception/single/56aa778f-a77c-4499-b5d5-f03a52c3308c_0.png", "image_2": null, "question": "Can motion blur and gaussian noise be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "60c6bef2-d413-4f85-88cc-ec4e779337f2", "image_1": "Perception/single/60c6bef2-d413-4f85-88cc-ec4e779337f2_0.png", "image_2": null, "question": "Does this image contain haze and image compression simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "b17d4e56-5335-4fd1-8737-dd9c06b97ccf", "image_1": "Perception/single/b17d4e56-5335-4fd1-8737-dd9c06b97ccf_0.png", "image_2": null, "question": "Can missing tiles and spatially correlated noise be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "13247c59-bd82-4f2f-91b1-b2e6b9356f2f", "image_1": "Perception/single/13247c59-bd82-4f2f-91b1-b2e6b9356f2f_0.png", "image_2": null, "question": "Are missing tiles and image compression present together in the scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "23d9775b-6852-49e2-9666-28b9e7b609f9", "image_1": "Perception/single/23d9775b-6852-49e2-9666-28b9e7b609f9_0.png", "image_2": null, "question": "Are image compression and spatially correlated noise present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "30a4179c-c6c5-419d-ab74-b52b9dd5ae15", "image_1": "Perception/single/30a4179c-c6c5-419d-ab74-b52b9dd5ae15_0.png", "image_2": null, "question": "Are gaussian noise and image stretching present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "3911fc6b-bb23-4f19-8805-829c024adcaa", "image_1": "Perception/single/3911fc6b-bb23-4f19-8805-829c024adcaa_0.png", "image_2": null, "question": "Can image compression and motion blur be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "3866b4cd-e686-449b-b331-43dc0fc4735e", "image_1": "Perception/single/3866b4cd-e686-449b-b331-43dc0fc4735e_0.png", "image_2": null, "question": "Does this image contain deadline noise and gaussian blur simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "38fde874-c3a9-4966-9ec5-75fcd8282e35", "image_1": "Perception/single/38fde874-c3a9-4966-9ec5-75fcd8282e35_0.png", "image_2": null, "question": "Is the image impacted by the combination of image compression and cloud?\nA.No\nB.Yes", "answer": "B"}
{"id": "d711d42e-8efe-4ae3-b6dc-443bdfe1276b", "image_1": "Perception/single/d711d42e-8efe-4ae3-b6dc-443bdfe1276b_0.png", "image_2": null, "question": "Does this image contain gaussian noise and gaussian blur simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "eb0b92be-b689-4898-b3d7-a61af30054e1", "image_1": "Perception/single/eb0b92be-b689-4898-b3d7-a61af30054e1_0.png", "image_2": null, "question": "Does this image contain color distortion and dead pixel simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "52c6146b-a41c-4b4e-8d03-15d9fa8e8508", "image_1": "Perception/single/52c6146b-a41c-4b4e-8d03-15d9fa8e8508_0.png", "image_2": null, "question": "Are gaussian blur and cloud present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "6cac6086-8ce6-4c9b-8296-af0b7d882d20", "image_1": "Perception/single/6cac6086-8ce6-4c9b-8296-af0b7d882d20_0.png", "image_2": null, "question": "Can impulse noise and gaussian blur be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "5ab23121-80f1-47ff-8ae9-31efc31989a6", "image_1": "Perception/single/5ab23121-80f1-47ff-8ae9-31efc31989a6_0.png", "image_2": null, "question": "Are impulse noise and image stretching present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "32573cd1-d874-4296-97cd-a580af10a5af", "image_1": "Perception/single/32573cd1-d874-4296-97cd-a580af10a5af_0.png", "image_2": null, "question": "Does this image contain image stretching and motion blur simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "448468e6-8bca-4c1f-96a6-a8a293b04990", "image_1": "Perception/single/448468e6-8bca-4c1f-96a6-a8a293b04990_0.png", "image_2": null, "question": "Can stripe noise and image stretching be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "43afa0a9-3ddf-4f0e-899a-7f43deda02f5", "image_1": "Perception/single/43afa0a9-3ddf-4f0e-899a-7f43deda02f5_0.png", "image_2": null, "question": "Can gaussian blur and missing tiles be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "400aef8e-c0bf-429b-a444-6916dd7af7ad", "image_1": "Perception/single/400aef8e-c0bf-429b-a444-6916dd7af7ad_0.png", "image_2": null, "question": "Are image compression and haze present together in the scene?\nA.No\nB.Yes", "answer": "A"}
{"id": "e42fdb64-ccae-4d24-8f3d-4366cb903ae2", "image_1": "Perception/single/e42fdb64-ccae-4d24-8f3d-4366cb903ae2_0.png", "image_2": null, "question": "Do visual cues of color distortion and missing tiles appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a294bd41-64c0-440e-9d41-01ef0be56acc", "image_1": "Perception/single/a294bd41-64c0-440e-9d41-01ef0be56acc_0.png", "image_2": null, "question": "Does this image contain stripe noise and gaussian blur simultaneously?\nA.No\nB.Yes", "answer": "A"}
{"id": "441f29ba-9ef4-43c4-8ff8-aed5218c8d81", "image_1": "Perception/single/441f29ba-9ef4-43c4-8ff8-aed5218c8d81_0.png", "image_2": null, "question": "Is the image impacted by the combination of motion blur and color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "2492b0b6-d39f-4124-b262-2876c8fa4341", "image_1": "Perception/single/2492b0b6-d39f-4124-b262-2876c8fa4341_0.png", "image_2": null, "question": "Are gaussian blur and color distortion present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "edfb7797-a41c-4ead-9740-83af1aa6f865", "image_1": "Perception/single/edfb7797-a41c-4ead-9740-83af1aa6f865_0.png", "image_2": null, "question": "Does this image contain gaussian blur and color distortion simultaneously?\nA.No\nB.Yes", "answer": "A"}
{"id": "1b2ea328-87c9-477e-bac3-e199e0eddd61", "image_1": "Perception/single/1b2ea328-87c9-477e-bac3-e199e0eddd61_0.png", "image_2": null, "question": "Is the image impacted by the combination of cloud and dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "d07ddae9-567a-480f-9a5a-fe910f592490", "image_1": "Perception/single/d07ddae9-567a-480f-9a5a-fe910f592490_0.png", "image_2": null, "question": "Is the image impacted by the combination of image compression and color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "7f4c0980-f50a-463d-aba6-8bd46f306781", "image_1": "Perception/single/7f4c0980-f50a-463d-aba6-8bd46f306781_0.png", "image_2": null, "question": "Can color distortion and dead pixel be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "f05f613e-97bd-47f1-a116-30415cc21ff6", "image_1": "Perception/single/f05f613e-97bd-47f1-a116-30415cc21ff6_0.png", "image_2": null, "question": "Are dead pixel and image stretching present together in the scene?\nA.No\nB.Yes", "answer": "A"}
{"id": "61429e4e-aca6-46cb-a2eb-514525a242fb", "image_1": "Perception/single/61429e4e-aca6-46cb-a2eb-514525a242fb_0.png", "image_2": null, "question": "Are dead pixel and spatially correlated noise present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "22485ec4-9178-4045-9cb5-22713e0aa1b3", "image_1": "Perception/single/22485ec4-9178-4045-9cb5-22713e0aa1b3_0.png", "image_2": null, "question": "Can motion blur and image compression be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "4aef2e66-36cc-4a92-9000-fb35818742dc", "image_1": "Perception/single/4aef2e66-36cc-4a92-9000-fb35818742dc_0.png", "image_2": null, "question": "Does this image contain deadline noise and image compression simultaneously?\nA.Yes\nB.No", "answer": "B"}
{"id": "225b94a5-823b-4c3b-9eee-53f16242f661", "image_1": "Perception/single/225b94a5-823b-4c3b-9eee-53f16242f661_0.png", "image_2": null, "question": "Is the image impacted by the combination of image compression and haze?\nA.No\nB.Yes", "answer": "B"}
{"id": "3cbade2d-c791-4e97-b054-874c19ffc4c7", "image_1": "Perception/single/3cbade2d-c791-4e97-b054-874c19ffc4c7_0.png", "image_2": null, "question": "Does this image contain missing tiles and deadline noise simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "88ce9268-3654-4489-aaad-00f9b35751c0", "image_1": "Perception/single/88ce9268-3654-4489-aaad-00f9b35751c0_0.png", "image_2": null, "question": "Does this image contain image stretching and spatially correlated noise simultaneously?\nA.No\nB.Yes", "answer": "A"}
{"id": "174a4f00-ce62-4268-8376-6fdd0fa2e0b6", "image_1": "Perception/single/174a4f00-ce62-4268-8376-6fdd0fa2e0b6_0.png", "image_2": null, "question": "Do visual cues of motion blur and haze appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "e2c619b3-b0a2-4202-bbe2-25757a12f7d9", "image_1": "Perception/single/e2c619b3-b0a2-4202-bbe2-25757a12f7d9_0.png", "image_2": null, "question": "Is the image impacted by the combination of image compression and stripe noise?\nA.No\nB.Yes", "answer": "A"}
{"id": "62d4e119-bd79-4309-9b22-f3418daac8ec", "image_1": "Perception/single/62d4e119-bd79-4309-9b22-f3418daac8ec_0.png", "image_2": null, "question": "Is the image impacted by the combination of color distortion and motion blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "13a691e3-c038-4d1a-9c85-6961eb54a6ea", "image_1": "Perception/single/13a691e3-c038-4d1a-9c85-6961eb54a6ea_0.png", "image_2": null, "question": "Does this image contain haze and color distortion simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "bcc5189a-9c1c-4c79-a35e-d102d6ad02fa", "image_1": "Perception/single/bcc5189a-9c1c-4c79-a35e-d102d6ad02fa_0.png", "image_2": null, "question": "Do visual cues of cloud and motion blur appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "f6eb6b88-3567-4045-a328-e3fe613d31ad", "image_1": "Perception/single/f6eb6b88-3567-4045-a328-e3fe613d31ad_0.png", "image_2": null, "question": "Does this image contain stripe noise and gaussian blur simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "74b66937-520f-4076-9f2b-c31e106f098e", "image_1": "Perception/single/74b66937-520f-4076-9f2b-c31e106f098e_0.png", "image_2": null, "question": "Do visual cues of motion blur and dead pixel appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c7281cff-cf1c-4bdd-b608-9ab28d7946a2", "image_1": "Perception/single/c7281cff-cf1c-4bdd-b608-9ab28d7946a2_0.png", "image_2": null, "question": "Is the image impacted by the combination of gaussian noise and missing tiles?\nA.No\nB.Yes", "answer": "B"}
{"id": "9c07b07e-556e-42ef-b6d5-e8c93e067abc", "image_1": "Perception/single/9c07b07e-556e-42ef-b6d5-e8c93e067abc_0.png", "image_2": null, "question": "Do visual cues of haze and missing tiles appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "db4b7ab8-f574-45de-b40f-bf4bc6547b3c", "image_1": "Perception/single/db4b7ab8-f574-45de-b40f-bf4bc6547b3c_0.png", "image_2": null, "question": "Does this image contain stripe noise and image compression simultaneously?\nA.No\nB.Yes", "answer": "A"}
{"id": "64523f1f-8b43-4a87-85db-98fc57de92db", "image_1": "Perception/single/64523f1f-8b43-4a87-85db-98fc57de92db_0.png", "image_2": null, "question": "Can gaussian noise and missing tiles be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "3d625b84-b052-4361-a42b-72fd986b11a4", "image_1": "Perception/single/3d625b84-b052-4361-a42b-72fd986b11a4_0.png", "image_2": null, "question": "Does this image contain image compression and stripe noise simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "d9933a04-9d52-47d6-bc9e-aa3ce2575259", "image_1": "Perception/single/d9933a04-9d52-47d6-bc9e-aa3ce2575259_0.png", "image_2": null, "question": "Can gaussian blur and image compression be observed at the same time in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ee89cdbb-f5a0-4c4e-a6b3-df19f7f99b40", "image_1": "Perception/single/ee89cdbb-f5a0-4c4e-a6b3-df19f7f99b40_0.png", "image_2": null, "question": "Is the image impacted by the combination of gaussian blur and stripe noise?\nA.No\nB.Yes", "answer": "B"}
{"id": "ccc25a5a-27e3-470a-a6c0-4ddebff7f6cd", "image_1": "Perception/single/ccc25a5a-27e3-470a-a6c0-4ddebff7f6cd_0.png", "image_2": null, "question": "Is the image impacted by the combination of gaussian blur and dead pixel?\nA.Yes\nB.No", "answer": "B"}
{"id": "83c805df-69fe-4ef8-8412-d2e6d5932537", "image_1": "Perception/single/83c805df-69fe-4ef8-8412-d2e6d5932537_0.png", "image_2": null, "question": "Does this image contain gaussian blur and image compression simultaneously?\nA.Yes\nB.No", "answer": "B"}
{"id": "89d1d0cd-c24c-4fd8-9c8e-8dbee6096a62", "image_1": "Perception/single/89d1d0cd-c24c-4fd8-9c8e-8dbee6096a62_0.png", "image_2": null, "question": "Are image compression and dead pixel present together in the scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "331f447c-595a-4103-96af-96c1c2badb5a", "image_1": "Perception/single/331f447c-595a-4103-96af-96c1c2badb5a_0.png", "image_2": null, "question": "Are dead pixel and motion blur present together in the scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "f5a64e11-baf9-45df-8860-53d107ade621", "image_1": "Perception/single/f5a64e11-baf9-45df-8860-53d107ade621_0.png", "image_2": null, "question": "Are image compression and stripe noise present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "756796fa-2b0e-4010-b900-0cefe14b826e", "image_1": "Perception/single/756796fa-2b0e-4010-b900-0cefe14b826e_0.png", "image_2": null, "question": "Are cloud and motion blur present together in the scene?\nA.No\nB.Yes", "answer": "A"}
{"id": "e4aaac62-4d09-47cb-adf8-0195c0b44154", "image_1": "Perception/single/e4aaac62-4d09-47cb-adf8-0195c0b44154_0.png", "image_2": null, "question": "Are impulse noise and image compression present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "c6ec2eca-66e8-49d8-8767-2aeaf4b0fc3f", "image_1": "Perception/single/c6ec2eca-66e8-49d8-8767-2aeaf4b0fc3f_0.png", "image_2": null, "question": "Can deadline noise and motion blur be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "bab614e9-1c29-47c4-93ec-d10d2e95e9c0", "image_1": "Perception/single/bab614e9-1c29-47c4-93ec-d10d2e95e9c0_0.png", "image_2": null, "question": "Do visual cues of gaussian blur and cloud appear in the image?\nA.No\nB.Yes", "answer": "A"}
{"id": "3561638b-d595-4b90-bdf0-2b83da7bf332", "image_1": "Perception/single/3561638b-d595-4b90-bdf0-2b83da7bf332_0.png", "image_2": null, "question": "Are gaussian blur and haze present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "1506e0d0-a27a-44e5-ba6d-0a06d3df8da0", "image_1": "Perception/single/1506e0d0-a27a-44e5-ba6d-0a06d3df8da0_0.png", "image_2": null, "question": "Does this image contain gaussian blur and dead pixel simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "0445a1e9-26bf-4b91-8453-4a488e0f99d7", "image_1": "Perception/single/0445a1e9-26bf-4b91-8453-4a488e0f99d7_0.png", "image_2": null, "question": "Can image stretching and image compression be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "5ac6a707-4c0f-4d13-9fb7-aa7d08ae3d79", "image_1": "Perception/single/5ac6a707-4c0f-4d13-9fb7-aa7d08ae3d79_0.png", "image_2": null, "question": "Do visual cues of missing tiles and cloud appear in the image?\nA.No\nB.Yes", "answer": "B"}
{"id": "46be5aec-bc94-4f21-a2e6-c5e7873dc150", "image_1": "Perception/single/46be5aec-bc94-4f21-a2e6-c5e7873dc150_0.png", "image_2": null, "question": "Does this image contain motion blur and image compression simultaneously?\nA.No\nB.Yes", "answer": "A"}
{"id": "331157ae-1f5d-45d8-9c04-1d304602e20b", "image_1": "Perception/single/331157ae-1f5d-45d8-9c04-1d304602e20b_0.png", "image_2": null, "question": "Do visual cues of motion blur and cloud appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "2ce4e835-168e-4b84-b2f2-00cd7bca91fe", "image_1": "Perception/single/2ce4e835-168e-4b84-b2f2-00cd7bca91fe_0.png", "image_2": null, "question": "Is the image impacted by the combination of stripe noise and image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "ae739054-fd35-4db8-87d2-e744c0159585", "image_1": "Perception/single/ae739054-fd35-4db8-87d2-e744c0159585_0.png", "image_2": null, "question": "Does this image contain gaussian blur and dead pixel simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "03042f3e-bbd3-4028-9ff9-abec97ca626d", "image_1": "Perception/single/03042f3e-bbd3-4028-9ff9-abec97ca626d_0.png", "image_2": null, "question": "Can motion blur and image stretching be observed at the same time in this image?\nA.No\nB.Yes", "answer": "A"}
{"id": "43b8f2bf-cabc-4289-b68c-8e5443faf60b", "image_1": "Perception/single/43b8f2bf-cabc-4289-b68c-8e5443faf60b_0.png", "image_2": null, "question": "Do visual cues of color distortion and dead pixel appear in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "21aa693a-412e-422f-a36b-39081af296ce", "image_1": "Perception/single/21aa693a-412e-422f-a36b-39081af296ce_0.png", "image_2": null, "question": "Can gaussian blur and cloud be observed at the same time in this image?\nA.No\nB.Yes", "answer": "A"}
{"id": "b7d02ce6-d9a2-44af-8bd6-097a863ba046", "image_1": "Perception/single/b7d02ce6-d9a2-44af-8bd6-097a863ba046_0.png", "image_2": null, "question": "Do visual cues of missing tiles and motion blur appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "4f6f758d-74d0-4f57-af35-cbd898ceea13", "image_1": "Perception/single/4f6f758d-74d0-4f57-af35-cbd898ceea13_0.png", "image_2": null, "question": "Does this image contain color distortion and image compression simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "ec12ba41-8311-46bf-b57d-f0af4b25f689", "image_1": "Perception/single/ec12ba41-8311-46bf-b57d-f0af4b25f689_0.png", "image_2": null, "question": "Is the image impacted by the combination of motion blur and color distortion?\nA.No\nB.Yes", "answer": "B"}
{"id": "a3f1d1c8-248e-47b5-a425-e5319dfe2434", "image_1": "Perception/single/a3f1d1c8-248e-47b5-a425-e5319dfe2434_0.png", "image_2": null, "question": "Can missing tiles and gaussian blur be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "30a5b082-6745-498b-bf42-a024aa796e65", "image_1": "Perception/single/30a5b082-6745-498b-bf42-a024aa796e65_0.png", "image_2": null, "question": "Can image compression and cloud be observed at the same time in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f284e490-f2ac-4220-9558-dacba2562fc3", "image_1": "Perception/single/f284e490-f2ac-4220-9558-dacba2562fc3_0.png", "image_2": null, "question": "Are deadline noise and gaussian blur present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "5cb9b2cf-2eda-4291-8bf7-0be155c7137f", "image_1": "Perception/single/5cb9b2cf-2eda-4291-8bf7-0be155c7137f_0.png", "image_2": null, "question": "Can motion blur and image stretching be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "52ec9b20-5e3d-43d7-9ca0-c250f7f7efd6", "image_1": "Perception/single/52ec9b20-5e3d-43d7-9ca0-c250f7f7efd6_0.png", "image_2": null, "question": "Do visual cues of spatially correlated noise and image compression appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "2392a9ea-a061-4177-ac4c-3abbd2a4276a", "image_1": "Perception/single/2392a9ea-a061-4177-ac4c-3abbd2a4276a_0.png", "image_2": null, "question": "Can image compression and stripe noise be observed at the same time in this image?\nA.No\nB.Yes", "answer": "A"}
{"id": "68cbd0f9-b578-4692-a457-abde165ba683", "image_1": "Perception/single/68cbd0f9-b578-4692-a457-abde165ba683_0.png", "image_2": null, "question": "Can dead pixel and color distortion be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "1a22eb6c-6074-4229-9d0c-1a09d305f0a2", "image_1": "Perception/single/1a22eb6c-6074-4229-9d0c-1a09d305f0a2_0.png", "image_2": null, "question": "Does this image contain dead pixel and deadline noise simultaneously?\nA.Yes\nB.No", "answer": "B"}
{"id": "ad3e140f-f066-40af-aa29-70b207689a57", "image_1": "Perception/single/ad3e140f-f066-40af-aa29-70b207689a57_0.png", "image_2": null, "question": "Is the image impacted by the combination of missing tiles and haze?\nA.No\nB.Yes", "answer": "B"}
{"id": "0280342f-8afa-4d7f-9629-c036f4d1bb0d", "image_1": "Perception/single/0280342f-8afa-4d7f-9629-c036f4d1bb0d_0.png", "image_2": null, "question": "Does this image contain cloud and motion blur simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "6b005c8a-0d2f-4ef8-89f4-2cac72ee5ba6", "image_1": "Perception/single/6b005c8a-0d2f-4ef8-89f4-2cac72ee5ba6_0.png", "image_2": null, "question": "Do visual cues of gaussian noise and motion blur appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "9d95baf8-4f9b-4e2a-862a-1a95740781c9", "image_1": "Perception/single/9d95baf8-4f9b-4e2a-862a-1a95740781c9_0.png", "image_2": null, "question": "Are image stretching and dead pixel present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "15e3475d-94c6-4459-af00-47049835ea5b", "image_1": "Perception/single/15e3475d-94c6-4459-af00-47049835ea5b_0.png", "image_2": null, "question": "Does this image contain image compression and cloud simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "52eff1ed-e66f-4c4e-a16f-f782b2b30e35", "image_1": "Perception/single/52eff1ed-e66f-4c4e-a16f-f782b2b30e35_0.png", "image_2": null, "question": "Can motion blur and stripe noise be observed at the same time in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0f9f05f8-e5ff-4a00-aa9b-dc6b2f11c021", "image_1": "Perception/single/0f9f05f8-e5ff-4a00-aa9b-dc6b2f11c021_0.png", "image_2": null, "question": "Is the image impacted by the combination of missing tiles and gaussian blur?\nA.No\nB.Yes", "answer": "B"}
{"id": "d165fe8d-4d38-42a7-a5db-93700f257a0f", "image_1": "Perception/single/d165fe8d-4d38-42a7-a5db-93700f257a0f_0.png", "image_2": null, "question": "Can motion blur and image stretching be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "19165317-8bd4-4986-8bd0-4033f52dd682", "image_1": "Perception/single/19165317-8bd4-4986-8bd0-4033f52dd682_0.png", "image_2": null, "question": "Can dead pixel and stripe noise be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "9c24ea2b-8f0b-400d-a63f-492bb589c435", "image_1": "Perception/single/9c24ea2b-8f0b-400d-a63f-492bb589c435_0.png", "image_2": null, "question": "Are missing tiles and image stretching present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "52a2537e-b57e-469a-b6d4-e7a54f8b8642", "image_1": "Perception/single/52a2537e-b57e-469a-b6d4-e7a54f8b8642_0.png", "image_2": null, "question": "Are missing tiles and motion blur present together in the scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "1d9fc0b7-327d-4c64-9511-02ea318045f3", "image_1": "Perception/single/1d9fc0b7-327d-4c64-9511-02ea318045f3_0.png", "image_2": null, "question": "Does this image contain dead pixel and color distortion simultaneously?\nA.Yes\nB.No", "answer": "B"}
{"id": "1a49b04c-2290-4cca-a221-29da9ff811ae", "image_1": "Perception/single/1a49b04c-2290-4cca-a221-29da9ff811ae_0.png", "image_2": null, "question": "Can haze and stripe noise be observed at the same time in this image?\nA.No\nB.Yes", "answer": "A"}
{"id": "48c2f5c7-a9b8-44f3-b9fc-d0a3bdf4371b", "image_1": "Perception/single/48c2f5c7-a9b8-44f3-b9fc-d0a3bdf4371b_0.png", "image_2": null, "question": "Is the image impacted by the combination of gaussian noise and image compression?\nA.No\nB.Yes", "answer": "B"}
{"id": "3a804cba-8ffc-47c6-b1a0-37886d5d76cc", "image_1": "Perception/single/3a804cba-8ffc-47c6-b1a0-37886d5d76cc_0.png", "image_2": null, "question": "Are deadline noise and missing tiles present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "0c25bd53-031d-45c8-a1b6-4fb218a46a0b", "image_1": "Perception/single/0c25bd53-031d-45c8-a1b6-4fb218a46a0b_0.png", "image_2": null, "question": "Can gaussian blur and dead pixel be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "1efe9423-7b8f-4276-bcd5-6f43024c61a5", "image_1": "Perception/single/1efe9423-7b8f-4276-bcd5-6f43024c61a5_0.png", "image_2": null, "question": "Are color distortion and motion blur present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "defd1108-6e0f-4f29-a495-72e4f881b1f5", "image_1": "Perception/single/defd1108-6e0f-4f29-a495-72e4f881b1f5_0.png", "image_2": null, "question": "Is the image impacted by the combination of missing tiles and image stretching?\nA.No\nB.Yes", "answer": "B"}
{"id": "6f004afb-88a1-49ba-9245-5f975046c79e", "image_1": "Perception/single/6f004afb-88a1-49ba-9245-5f975046c79e_0.png", "image_2": null, "question": "Do visual cues of haze and deadline noise appear in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ba197225-a0ef-4adf-bf65-23e4f865b3d4", "image_1": "Perception/single/ba197225-a0ef-4adf-bf65-23e4f865b3d4_0.png", "image_2": null, "question": "Do visual cues of image stretching and image compression appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "89fddc3b-d93f-49f9-8524-210f388034ed", "image_1": "Perception/single/89fddc3b-d93f-49f9-8524-210f388034ed_0.png", "image_2": null, "question": "Do visual cues of image compression and gaussian blur appear in the image?\nA.No\nB.Yes", "answer": "B"}
{"id": "d6114a37-3a53-4057-85ba-b0e4c60183e6", "image_1": "Perception/single/d6114a37-3a53-4057-85ba-b0e4c60183e6_0.png", "image_2": null, "question": "Can color distortion and gaussian blur be observed at the same time in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1e6d9632-5ada-4236-9af5-897a604f394a", "image_1": "Perception/single/1e6d9632-5ada-4236-9af5-897a604f394a_0.png", "image_2": null, "question": "Can dead pixel and spatially correlated noise be observed at the same time in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e42b7744-7fe9-4997-b486-133dd90ac48c", "image_1": "Perception/single/e42b7744-7fe9-4997-b486-133dd90ac48c_0.png", "image_2": null, "question": "Do visual cues of color distortion and dead pixel appear in the image?\nA.No\nB.Yes", "answer": "B"}
{"id": "9a10ebad-d006-4b2d-a6cd-ae6d392eeb91", "image_1": "Perception/single/9a10ebad-d006-4b2d-a6cd-ae6d392eeb91_0.png", "image_2": null, "question": "Can dead pixel and motion blur be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "50cdab97-555f-430c-8eaa-f29a39b88024", "image_1": "Perception/single/50cdab97-555f-430c-8eaa-f29a39b88024_0.png", "image_2": null, "question": "Are stripe noise and color distortion present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "9c971efd-4c37-428b-91d6-210afc09967d", "image_1": "Perception/single/9c971efd-4c37-428b-91d6-210afc09967d_0.png", "image_2": null, "question": "Can cloud and dead pixel be observed at the same time in this image?\nA.No\nB.Yes", "answer": "A"}
{"id": "c64f7285-8796-4b68-af36-23ab1fd81f5a", "image_1": "Perception/single/c64f7285-8796-4b68-af36-23ab1fd81f5a_0.png", "image_2": null, "question": "Do visual cues of cloud and dead pixel appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "4ec4427c-82b2-45c4-a1ea-483750c8b918", "image_1": "Perception/single/4ec4427c-82b2-45c4-a1ea-483750c8b918_0.png", "image_2": null, "question": "Can image stretching and spatially correlated noise be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "b53f224a-85e9-40bb-8084-5fdedf2f1615", "image_1": "Perception/single/b53f224a-85e9-40bb-8084-5fdedf2f1615_0.png", "image_2": null, "question": "Do visual cues of cloud and image stretching appear in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4f65f3ef-c66b-456f-ab91-05636bd338ff", "image_1": "Perception/single/4f65f3ef-c66b-456f-ab91-05636bd338ff_0.png", "image_2": null, "question": "Can deadline noise and image stretching be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "99f2f8c9-3585-472e-ad2b-90bc9fa352a6", "image_1": "Perception/single/99f2f8c9-3585-472e-ad2b-90bc9fa352a6_0.png", "image_2": null, "question": "Can motion blur and haze be observed at the same time in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "227a2ff7-9842-49b7-a202-1a93201fe3d6", "image_1": "Perception/single/227a2ff7-9842-49b7-a202-1a93201fe3d6_0.png", "image_2": null, "question": "Is the image impacted by the combination of missing tiles and haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "619bd2ec-03fe-45c9-ad7e-f77e20e0a4b0", "image_1": "Perception/single/619bd2ec-03fe-45c9-ad7e-f77e20e0a4b0_0.png", "image_2": null, "question": "Can image compression and image stretching be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "2e8b5f83-295c-4bbf-8fb0-2cfd2973ea08", "image_1": "Perception/single/2e8b5f83-295c-4bbf-8fb0-2cfd2973ea08_0.png", "image_2": null, "question": "Does this image contain gaussian blur and haze simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "322c1807-1b51-4a07-9bcd-56854d8adaeb", "image_1": "Perception/single/322c1807-1b51-4a07-9bcd-56854d8adaeb_0.png", "image_2": null, "question": "Does this image contain missing tiles and haze simultaneously?\nA.Yes\nB.No", "answer": "B"}
{"id": "19a1ebe3-3bc9-4281-8f45-ac9fb2120ea0", "image_1": "Perception/single/19a1ebe3-3bc9-4281-8f45-ac9fb2120ea0_0.png", "image_2": null, "question": "Do visual cues of image compression and cloud appear in the image?\nA.No\nB.Yes", "answer": "A"}
{"id": "807a91e9-9364-4dab-92bb-92e10b5c4d01", "image_1": "Perception/single/807a91e9-9364-4dab-92bb-92e10b5c4d01_0.png", "image_2": null, "question": "Does this image contain image compression and haze simultaneously?\nA.No\nB.Yes", "answer": "A"}
{"id": "eff03984-98ad-48fe-b242-e6c7ef025fdc", "image_1": "Perception/single/eff03984-98ad-48fe-b242-e6c7ef025fdc_0.png", "image_2": null, "question": "Does this image contain image stretching and gaussian blur simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "e0b3a9de-882b-41f9-8297-a35f5e7e06f6", "image_1": "Perception/single/e0b3a9de-882b-41f9-8297-a35f5e7e06f6_0.png", "image_2": null, "question": "Do visual cues of cloud and motion blur appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "74c16347-b629-4c31-b2c9-96dc7eea05fb", "image_1": "Perception/single/74c16347-b629-4c31-b2c9-96dc7eea05fb_0.png", "image_2": null, "question": "Does this image contain deadline noise and dead pixel simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "22462714-7407-46dd-88cc-a856114c2533", "image_1": "Perception/single/22462714-7407-46dd-88cc-a856114c2533_0.png", "image_2": null, "question": "Does this image contain cloud and gaussian blur simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "6a0f8b10-f3c2-4e27-a763-aff95b1524d6", "image_1": "Perception/single/6a0f8b10-f3c2-4e27-a763-aff95b1524d6_0.png", "image_2": null, "question": "Are cloud and motion blur present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "5dce46cb-d610-41fa-8b09-10b5142553e0", "image_1": "Perception/single/5dce46cb-d610-41fa-8b09-10b5142553e0_0.png", "image_2": null, "question": "Is the image impacted by the combination of image compression and motion blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "1c6cf505-2798-4494-be89-17490c6d6640", "image_1": "Perception/single/1c6cf505-2798-4494-be89-17490c6d6640_0.png", "image_2": null, "question": "Are motion blur and image compression present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "c421512c-adb5-40d3-a0ff-1b80fc485c9b", "image_1": "Perception/single/c421512c-adb5-40d3-a0ff-1b80fc485c9b_0.png", "image_2": null, "question": "Can dead pixel and gaussian noise be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d212ce82-bc8d-44ea-bc51-e8bd54dedd3a", "image_1": "Perception/single/d212ce82-bc8d-44ea-bc51-e8bd54dedd3a_0.png", "image_2": null, "question": "Is the image impacted by the combination of gaussian noise and image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "3e3bd700-ce00-4a8b-a143-d5a0301e1d21", "image_1": "Perception/single/3e3bd700-ce00-4a8b-a143-d5a0301e1d21_0.png", "image_2": null, "question": "Can cloud and image stretching be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "867119e5-5d5d-4081-90cf-51f756592e37", "image_1": "Perception/single/867119e5-5d5d-4081-90cf-51f756592e37_0.png", "image_2": null, "question": "Are dead pixel and image compression present together in the scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "cd8713ad-68cc-4f2a-82fb-25e4b440c3ac", "image_1": "Perception/single/cd8713ad-68cc-4f2a-82fb-25e4b440c3ac_0.png", "image_2": null, "question": "Does this image contain dead pixel and impulse noise simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "ac2077b5-b36b-4807-8f40-98cdfa3f91ed", "image_1": "Perception/single/ac2077b5-b36b-4807-8f40-98cdfa3f91ed_0.png", "image_2": null, "question": "Are image stretching and motion blur present together in the scene?\nA.No\nB.Yes", "answer": "A"}
{"id": "17c09e8b-52ef-4112-bec4-1d728d7dd4d4", "image_1": "Perception/single/17c09e8b-52ef-4112-bec4-1d728d7dd4d4_0.png", "image_2": null, "question": "Is the image impacted by the combination of gaussian blur and haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "599f1377-c279-4543-b2a4-e73c2c2fe9f1", "image_1": "Perception/single/599f1377-c279-4543-b2a4-e73c2c2fe9f1_0.png", "image_2": null, "question": "Does this image contain haze and motion blur simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "e2f2952c-78cb-4426-b0e9-8f9c18f60fc9", "image_1": "Perception/single/e2f2952c-78cb-4426-b0e9-8f9c18f60fc9_0.png", "image_2": null, "question": "Is the image impacted by the combination of image stretching and missing tiles?\nA.No\nB.Yes", "answer": "B"}
{"id": "8bc9fadc-ec67-4a4f-a073-e1f894384380", "image_1": "Perception/single/8bc9fadc-ec67-4a4f-a073-e1f894384380_0.png", "image_2": null, "question": "Do visual cues of gaussian blur and image stretching appear in the image?\nA.No\nB.Yes", "answer": "A"}
{"id": "ce69ab29-f244-49f6-881a-944224b0059c", "image_1": "Perception/single/ce69ab29-f244-49f6-881a-944224b0059c_0.png", "image_2": null, "question": "Is the image impacted by the combination of haze and dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "f0eb74dc-a830-4690-bd7c-d5cbfd44d762", "image_1": "Perception/single/f0eb74dc-a830-4690-bd7c-d5cbfd44d762_0.png", "image_2": null, "question": "Does this image contain gaussian blur and impulse noise simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "17b41183-7512-48dc-a66f-95461a1a68d3", "image_1": "Perception/single/17b41183-7512-48dc-a66f-95461a1a68d3_0.png", "image_2": null, "question": "Can cloud and dead pixel be observed at the same time in this image?\nA.No\nB.Yes", "answer": "A"}
{"id": "170fe8d7-7364-4320-817b-e874885d8a90", "image_1": "Perception/single/170fe8d7-7364-4320-817b-e874885d8a90_0.png", "image_2": null, "question": "Can gaussian blur and color distortion be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "468bcf3f-f69c-40d2-83e3-3320872b6900", "image_1": "Perception/single/468bcf3f-f69c-40d2-83e3-3320872b6900_0.png", "image_2": null, "question": "Is the image impacted by the combination of motion blur and cloud?\nA.Yes\nB.No", "answer": "A"}
{"id": "837b6180-8850-4ceb-a5e5-f57ae212537e", "image_1": "Perception/single/837b6180-8850-4ceb-a5e5-f57ae212537e_0.png", "image_2": null, "question": "Is the image impacted by the combination of image stretching and image compression?\nA.No\nB.Yes", "answer": "B"}
{"id": "777992aa-a176-4062-ab82-c37ce8e08bee", "image_1": "Perception/single/777992aa-a176-4062-ab82-c37ce8e08bee_0.png", "image_2": null, "question": "Can gaussian noise and image compression be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "f277d1ec-5ab1-4d7a-97d2-8f7c549f5f14", "image_1": "Perception/single/f277d1ec-5ab1-4d7a-97d2-8f7c549f5f14_0.png", "image_2": null, "question": "Does this image contain haze and image stretching simultaneously?\nA.Yes\nB.No", "answer": "B"}
{"id": "a509d7b0-4eea-4a59-957b-bcd13be9eeff", "image_1": "Perception/single/a509d7b0-4eea-4a59-957b-bcd13be9eeff_0.png", "image_2": null, "question": "Can gaussian noise and image stretching be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "ec76c59e-b7ec-45ba-9cd7-a169d867264b", "image_1": "Perception/single/ec76c59e-b7ec-45ba-9cd7-a169d867264b_0.png", "image_2": null, "question": "Does this image contain stripe noise and haze simultaneously?\nA.No\nB.Yes", "answer": "A"}
{"id": "a9f20b06-cc71-42b1-8a4c-acf14d23815f", "image_1": "Perception/single/a9f20b06-cc71-42b1-8a4c-acf14d23815f_0.png", "image_2": null, "question": "Do visual cues of image compression and gaussian blur appear in the image?\nA.No\nB.Yes", "answer": "B"}
{"id": "17d1b2b9-dc6c-44ba-a66e-43de273ac5d3", "image_1": "Perception/single/17d1b2b9-dc6c-44ba-a66e-43de273ac5d3_0.png", "image_2": null, "question": "Can missing tiles and cloud be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d7ece4b0-4d0d-486a-8640-c87926850b91", "image_1": "Perception/single/d7ece4b0-4d0d-486a-8640-c87926850b91_0.png", "image_2": null, "question": "Is the image impacted by the combination of impulse noise and image compression?\nA.No\nB.Yes", "answer": "A"}
{"id": "53073456-a68f-4e3d-aa58-2028422f6542", "image_1": "Perception/single/53073456-a68f-4e3d-aa58-2028422f6542_0.png", "image_2": null, "question": "Is the image impacted by the combination of cloud and motion blur?\nA.No\nB.Yes", "answer": "B"}
{"id": "676c5055-e519-4049-9ef9-935ca3253364", "image_1": "Perception/single/676c5055-e519-4049-9ef9-935ca3253364_0.png", "image_2": null, "question": "Is the image impacted by the combination of dead pixel and cloud?\nA.Yes\nB.No", "answer": "A"}
{"id": "04ee5aff-9192-4638-97e8-49a1b2817186", "image_1": "Perception/single/04ee5aff-9192-4638-97e8-49a1b2817186_0.png", "image_2": null, "question": "Is the image impacted by the combination of spatially correlated noise and motion blur?\nA.No\nB.Yes", "answer": "A"}
{"id": "97d420fd-1a81-48ea-b0e7-6d5f16d2b550", "image_1": "Perception/single/97d420fd-1a81-48ea-b0e7-6d5f16d2b550_0.png", "image_2": null, "question": "Does this image contain deadline noise and haze simultaneously?\nA.Yes\nB.No", "answer": "B"}
{"id": "3cb05452-19c7-44c6-8619-9b1124b1afc5", "image_1": "Perception/single/3cb05452-19c7-44c6-8619-9b1124b1afc5_0.png", "image_2": null, "question": "Are motion blur and image stretching present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "455c01ad-00a7-47e0-8fa6-586abb1ed6d0", "image_1": "Perception/single/455c01ad-00a7-47e0-8fa6-586abb1ed6d0_0.png", "image_2": null, "question": "Are impulse noise and image compression present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "ad0d8d22-c312-4a96-b766-aa15101e38c2", "image_1": "Perception/single/ad0d8d22-c312-4a96-b766-aa15101e38c2_0.png", "image_2": null, "question": "Can image compression and image stretching be observed at the same time in this image?\nA.No\nB.Yes", "answer": "A"}
{"id": "40e4d373-2dfc-4482-9328-202117fa6fde", "image_1": "Perception/single/40e4d373-2dfc-4482-9328-202117fa6fde_0.png", "image_2": null, "question": "Do visual cues of dead pixel and haze appear in the image?\nA.No\nB.Yes", "answer": "B"}
{"id": "122475a3-5cbb-415d-9243-6e54a3545932", "image_1": "Perception/single/122475a3-5cbb-415d-9243-6e54a3545932_0.png", "image_2": null, "question": "Do visual cues of spatially correlated noise and image compression appear in the image?\nA.No\nB.Yes", "answer": "B"}
{"id": "43901687-f66e-4ef5-9ef2-bb3975158481", "image_1": "Perception/single/43901687-f66e-4ef5-9ef2-bb3975158481_0.png", "image_2": null, "question": "Do visual cues of image compression and missing tiles appear in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "6f93ab47-b6c0-42e8-a899-ad4b6367a76d", "image_1": "Perception/single/6f93ab47-b6c0-42e8-a899-ad4b6367a76d_0.png", "image_2": null, "question": "Is the image impacted by the combination of image compression and gaussian blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "51dc061f-5978-429a-8909-3c8e66a3ff67", "image_1": "Perception/single/51dc061f-5978-429a-8909-3c8e66a3ff67_0.png", "image_2": null, "question": "Are haze and gaussian blur present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "88b62244-6190-43f8-93d7-6dae502bd8f3", "image_1": "Perception/single/88b62244-6190-43f8-93d7-6dae502bd8f3_0.png", "image_2": null, "question": "Can haze and image compression be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "65d7ef90-c5cb-40b2-864d-81bdc885500f", "image_1": "Perception/single/65d7ef90-c5cb-40b2-864d-81bdc885500f_0.png", "image_2": null, "question": "Is the image impacted by the combination of haze and gaussian blur?\nA.No\nB.Yes", "answer": "B"}
{"id": "2adf6d67-e605-464d-b4a4-1cdbeca85d4c", "image_1": "Perception/single/2adf6d67-e605-464d-b4a4-1cdbeca85d4c_0.png", "image_2": null, "question": "Does this image contain missing tiles and motion blur simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "8164833d-4dc9-46f0-8b49-8b05ba9afbd1", "image_1": "Perception/single/8164833d-4dc9-46f0-8b49-8b05ba9afbd1_0.png", "image_2": null, "question": "Do visual cues of image compression and gaussian noise appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "4bdeb837-ceb6-4c99-b14e-2d1d8d6f1430", "image_1": "Perception/single/4bdeb837-ceb6-4c99-b14e-2d1d8d6f1430_0.png", "image_2": null, "question": "Do visual cues of dead pixel and color distortion appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "88ce6c23-d88e-417c-aa2c-0528a11135d9", "image_1": "Perception/single/88ce6c23-d88e-417c-aa2c-0528a11135d9_0.png", "image_2": null, "question": "Do visual cues of haze and gaussian blur appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "54f4956d-c5ec-4fd3-ae07-23d0b09d92ed", "image_1": "Perception/single/54f4956d-c5ec-4fd3-ae07-23d0b09d92ed_0.png", "image_2": null, "question": "Does this image contain gaussian blur and image stretching simultaneously?\nA.Yes\nB.No", "answer": "B"}
{"id": "29d4b314-9210-4794-9d4e-2f45c6cba2c0", "image_1": "Perception/single/29d4b314-9210-4794-9d4e-2f45c6cba2c0_0.png", "image_2": null, "question": "Are motion blur and spatially correlated noise present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "f8bb85b2-3c35-4acc-8941-af9fedb38e3f", "image_1": "Perception/single/f8bb85b2-3c35-4acc-8941-af9fedb38e3f_0.png", "image_2": null, "question": "Can missing tiles and cloud be observed at the same time in this image?\nA.No\nB.Yes", "answer": "A"}
{"id": "65d3b770-61ac-4767-bd05-45ec52817486", "image_1": "Perception/single/65d3b770-61ac-4767-bd05-45ec52817486_0.png", "image_2": null, "question": "Can color distortion and motion blur be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "b5c65ad6-1882-4ffa-b029-c2167e4a8bba", "image_1": "Perception/single/b5c65ad6-1882-4ffa-b029-c2167e4a8bba_0.png", "image_2": null, "question": "Are image compression and motion blur present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "420fe88b-8ea5-4d4e-a12f-275c88a4839b", "image_1": "Perception/single/420fe88b-8ea5-4d4e-a12f-275c88a4839b_0.png", "image_2": null, "question": "Do visual cues of missing tiles and cloud appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a63be315-cd74-4190-9901-c12eb0568cde", "image_1": "Perception/single/a63be315-cd74-4190-9901-c12eb0568cde_0.png", "image_2": null, "question": "Does this image contain haze and image compression simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "df5fd11b-b97d-47c4-ab45-b1cc01ee4772", "image_1": "Perception/single/df5fd11b-b97d-47c4-ab45-b1cc01ee4772_0.png", "image_2": null, "question": "Are motion blur and cloud present together in the scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "c33c38c0-a0fa-409d-8d21-51f54e470ba7", "image_1": "Perception/single/c33c38c0-a0fa-409d-8d21-51f54e470ba7_0.png", "image_2": null, "question": "Is the image impacted by the combination of dead pixel and haze?\nA.Yes\nB.No", "answer": "A"}
{"id": "12995b4e-bb0a-4c63-88c0-339907c7bdf6", "image_1": "Perception/single/12995b4e-bb0a-4c63-88c0-339907c7bdf6_0.png", "image_2": null, "question": "Does this image contain cloud and color distortion simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "808542ef-655f-4daf-9bf0-953877b1a572", "image_1": "Perception/single/808542ef-655f-4daf-9bf0-953877b1a572_0.png", "image_2": null, "question": "Is the image impacted by the combination of stripe noise and motion blur?\nA.Yes\nB.No", "answer": "B"}
{"id": "2e94c4bc-f553-4107-9c27-f08cf9605fa1", "image_1": "Perception/single/2e94c4bc-f553-4107-9c27-f08cf9605fa1_0.png", "image_2": null, "question": "Do visual cues of haze and dead pixel appear in the image?\nA.No\nB.Yes", "answer": "A"}
{"id": "131e9f49-f346-45a7-a1e6-3b290c858280", "image_1": "Perception/single/131e9f49-f346-45a7-a1e6-3b290c858280_0.png", "image_2": null, "question": "Is the image impacted by the combination of cloud and missing tiles?\nA.Yes\nB.No", "answer": "A"}
{"id": "610e525c-94e2-4b1c-9ccd-ab2c40fb80ba", "image_1": "Perception/single/610e525c-94e2-4b1c-9ccd-ab2c40fb80ba_0.png", "image_2": null, "question": "Does this image contain missing tiles and gaussian blur simultaneously?\nA.No\nB.Yes", "answer": "A"}
{"id": "46e480a4-9214-4b90-9a04-416cb502c16d", "image_1": "Perception/single/46e480a4-9214-4b90-9a04-416cb502c16d_0.png", "image_2": null, "question": "Are spatially correlated noise and motion blur present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "bd7aa433-f3ef-4d30-8ebf-5c0759aac0bf", "image_1": "Perception/single/bd7aa433-f3ef-4d30-8ebf-5c0759aac0bf_0.png", "image_2": null, "question": "Is the image impacted by the combination of image stretching and motion blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "234b448a-cf40-4890-b1f9-69f36ef25238", "image_1": "Perception/single/234b448a-cf40-4890-b1f9-69f36ef25238_0.png", "image_2": null, "question": "Are image compression and cloud present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "8b76fe5f-cdde-4f68-9a6e-ab9a6249af90", "image_1": "Perception/single/8b76fe5f-cdde-4f68-9a6e-ab9a6249af90_0.png", "image_2": null, "question": "Can dead pixel and cloud be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d10d1ef3-cbe9-40af-b3bf-9e562204e4f9", "image_1": "Perception/single/d10d1ef3-cbe9-40af-b3bf-9e562204e4f9_0.png", "image_2": null, "question": "Is the image impacted by the combination of image compression and cloud?\nA.No\nB.Yes", "answer": "B"}
{"id": "e653f6b8-d2b4-4971-a4d0-68ddbc72a309", "image_1": "Perception/single/e653f6b8-d2b4-4971-a4d0-68ddbc72a309_0.png", "image_2": null, "question": "Do visual cues of color distortion and dead pixel appear in the image?\nA.No\nB.Yes", "answer": "B"}
{"id": "8088147c-86d9-4fb5-9b95-9f84af4bb223", "image_1": "Perception/single/8088147c-86d9-4fb5-9b95-9f84af4bb223_0.png", "image_2": null, "question": "Are color distortion and gaussian noise present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "f5e8d3a8-8d82-4ecf-a050-2a9889dc04f9", "image_1": "Perception/single/f5e8d3a8-8d82-4ecf-a050-2a9889dc04f9_0.png", "image_2": null, "question": "Do visual cues of image compression and missing tiles appear in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "016603c2-156c-467a-aac5-37e5230fbbc9", "image_1": "Perception/single/016603c2-156c-467a-aac5-37e5230fbbc9_0.png", "image_2": null, "question": "Does this image contain dead pixel and color distortion simultaneously?\nA.No\nB.Yes", "answer": "A"}
{"id": "438fbaeb-b873-41a6-922b-3b65e8c238cb", "image_1": "Perception/single/438fbaeb-b873-41a6-922b-3b65e8c238cb_0.png", "image_2": null, "question": "Does this image contain color distortion and impulse noise simultaneously?\nA.Yes\nB.No", "answer": "B"}
{"id": "60d84fab-3189-4b63-972f-f2b544eb3d4c", "image_1": "Perception/single/60d84fab-3189-4b63-972f-f2b544eb3d4c_0.png", "image_2": null, "question": "Are gaussian blur and cloud present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "523a5c6d-1163-490b-9984-f4c6e4fc436c", "image_1": "Perception/single/523a5c6d-1163-490b-9984-f4c6e4fc436c_0.png", "image_2": null, "question": "Can image compression and image stretching be observed at the same time in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "87aab36c-87e5-4524-b8fc-e8f73d857297", "image_1": "Perception/single/87aab36c-87e5-4524-b8fc-e8f73d857297_0.png", "image_2": null, "question": "Can dead pixel and color distortion be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "7fd32733-3ca3-49cb-9219-95fd6b71f98b", "image_1": "Perception/single/7fd32733-3ca3-49cb-9219-95fd6b71f98b_0.png", "image_2": null, "question": "Is the image impacted by the combination of gaussian blur and dead pixel?\nA.No\nB.Yes", "answer": "B"}
{"id": "c3de5931-87b2-401c-9e4a-04fa15b4ba60", "image_1": "Perception/single/c3de5931-87b2-401c-9e4a-04fa15b4ba60_0.png", "image_2": null, "question": "Can deadline noise and gaussian blur be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "7bad0736-b4aa-43af-bbb1-9d8fed6b801a", "image_1": "Perception/single/7bad0736-b4aa-43af-bbb1-9d8fed6b801a_0.png", "image_2": null, "question": "Is the image impacted by the combination of image compression and color distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "9976f2d2-f746-47bd-b56a-75b843712da4", "image_1": "Perception/single/9976f2d2-f746-47bd-b56a-75b843712da4_0.png", "image_2": null, "question": "Does this image contain motion blur and haze simultaneously?\nA.Yes\nB.No", "answer": "B"}
{"id": "af97fe9d-b60d-46b8-9f4e-0ef01ca3be13", "image_1": "Perception/single/af97fe9d-b60d-46b8-9f4e-0ef01ca3be13_0.png", "image_2": null, "question": "Is the image impacted by the combination of stripe noise and color distortion?\nA.No\nB.Yes", "answer": "A"}
{"id": "41b89f68-a656-45c5-b511-d68a8af2cacf", "image_1": "Perception/single/41b89f68-a656-45c5-b511-d68a8af2cacf_0.png", "image_2": null, "question": "Are image stretching and image compression present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "8ce965dc-b8b5-4b41-923f-30b410103786", "image_1": "Perception/single/8ce965dc-b8b5-4b41-923f-30b410103786_0.png", "image_2": null, "question": "Is the image impacted by the combination of haze and missing tiles?\nA.No\nB.Yes", "answer": "B"}
{"id": "f87995c8-fb95-4f99-9ab0-1549cc3e704c", "image_1": "Perception/single/f87995c8-fb95-4f99-9ab0-1549cc3e704c_0.png", "image_2": null, "question": "Do visual cues of dead pixel and spatially correlated noise appear in the image?\nA.No\nB.Yes", "answer": "B"}
{"id": "d894f772-f8a1-4484-847e-183f03562b52", "image_1": "Perception/single/d894f772-f8a1-4484-847e-183f03562b52_0.png", "image_2": null, "question": "Is the image impacted by the combination of gaussian noise and motion blur?\nA.Yes\nB.No", "answer": "A"}
{"id": "77880d20-d9a3-4a24-a5b6-62e75ca3fe3e", "image_1": "Perception/single/77880d20-d9a3-4a24-a5b6-62e75ca3fe3e_0.png", "image_2": null, "question": "Can cloud and gaussian blur be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "342fad30-16f3-49ad-88ec-20cf2858f542", "image_1": "Perception/single/342fad30-16f3-49ad-88ec-20cf2858f542_0.png", "image_2": null, "question": "Do visual cues of motion blur and haze appear in the image?\nA.No\nB.Yes", "answer": "A"}
{"id": "6a17beee-7cf6-4759-9419-c5f9b3bacf30", "image_1": "Perception/single/6a17beee-7cf6-4759-9419-c5f9b3bacf30_0.png", "image_2": null, "question": "Are motion blur and image compression present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "e7a534f9-a7f2-4a90-bab4-1fdc625661e9", "image_1": "Perception/single/e7a534f9-a7f2-4a90-bab4-1fdc625661e9_0.png", "image_2": null, "question": "Can color distortion and motion blur be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "d6711e12-8e80-4a8b-aa06-96e6afef9c5d", "image_1": "Perception/single/d6711e12-8e80-4a8b-aa06-96e6afef9c5d_0.png", "image_2": null, "question": "Can dead pixel and haze be observed at the same time in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "eda19cba-5f4d-4beb-84d3-e41fed9079ea", "image_1": "Perception/single/eda19cba-5f4d-4beb-84d3-e41fed9079ea_0.png", "image_2": null, "question": "Do visual cues of color distortion and image compression appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "4dd4d82b-4c7e-4947-9660-8611eb2a521b", "image_1": "Perception/single/4dd4d82b-4c7e-4947-9660-8611eb2a521b_0.png", "image_2": null, "question": "Is the image impacted by the combination of image compression and dead pixel?\nA.Yes\nB.No", "answer": "B"}
{"id": "503bc1de-3c32-45e7-92a8-a9255550b3a3", "image_1": "Perception/single/503bc1de-3c32-45e7-92a8-a9255550b3a3_0.png", "image_2": null, "question": "Is the image impacted by the combination of cloud and missing tiles?\nA.No\nB.Yes", "answer": "A"}
{"id": "ae540935-2d42-47ef-bfcf-c282bed404fb", "image_1": "Perception/single/ae540935-2d42-47ef-bfcf-c282bed404fb_0.png", "image_2": null, "question": "Is the image impacted by the combination of cloud and missing tiles?\nA.No\nB.Yes", "answer": "A"}
{"id": "a32a759e-7c67-4885-aeb5-dfa1a4429748", "image_1": "Perception/single/a32a759e-7c67-4885-aeb5-dfa1a4429748_0.png", "image_2": null, "question": "Do visual cues of motion blur and color distortion appear in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c85aeaca-c581-4e8e-ad8d-e98f76ed6116", "image_1": "Perception/single/c85aeaca-c581-4e8e-ad8d-e98f76ed6116_0.png", "image_2": null, "question": "Can impulse noise and dead pixel be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "9045be2c-455f-4e83-8c83-84294ee4b4c3", "image_1": "Perception/single/9045be2c-455f-4e83-8c83-84294ee4b4c3_0.png", "image_2": null, "question": "Does this image contain cloud and dead pixel simultaneously?\nA.Yes\nB.No", "answer": "A"}
{"id": "2e517f08-03cf-4c0e-b946-96208b0c4471", "image_1": "Perception/single/2e517f08-03cf-4c0e-b946-96208b0c4471_0.png", "image_2": null, "question": "Are motion blur and impulse noise present together in the scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "7a6d5c2f-bded-4ae9-8291-c619e3977418", "image_1": "Perception/single/7a6d5c2f-bded-4ae9-8291-c619e3977418_0.png", "image_2": null, "question": "Is the image impacted by the combination of gaussian noise and motion blur?\nA.No\nB.Yes", "answer": "B"}
{"id": "5bddf4f4-25d2-4da5-bcf7-2431a632f664", "image_1": "Perception/single/5bddf4f4-25d2-4da5-bcf7-2431a632f664_0.png", "image_2": null, "question": "Is the image impacted by the combination of gaussian blur and dead pixel?\nA.Yes\nB.No", "answer": "A"}
{"id": "d9802f53-c31d-4ef6-aec6-6b1fa8104e52", "image_1": "Perception/single/d9802f53-c31d-4ef6-aec6-6b1fa8104e52_0.png", "image_2": null, "question": "Does this image contain cloud and gaussian blur simultaneously?\nA.No\nB.Yes", "answer": "A"}
{"id": "e611f63a-f081-417f-bcb0-0a6416d102f3", "image_1": "Perception/single/e611f63a-f081-417f-bcb0-0a6416d102f3_0.png", "image_2": null, "question": "Can dead pixel and impulse noise be observed at the same time in this image?\nA.No\nB.Yes", "answer": "A"}
{"id": "8d2050f8-a602-4fee-ba33-42e506733620", "image_1": "Perception/single/8d2050f8-a602-4fee-ba33-42e506733620_0.png", "image_2": null, "question": "Can image stretching and image compression be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "66b33669-2b1e-4cb4-8433-45ba252cf5de", "image_1": "Perception/single/66b33669-2b1e-4cb4-8433-45ba252cf5de_0.png", "image_2": null, "question": "Can image compression and motion blur be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "486385de-1564-4abd-afeb-c568e85778c9", "image_1": "Perception/single/486385de-1564-4abd-afeb-c568e85778c9_0.png", "image_2": null, "question": "Does this image contain image stretching and spatially correlated noise simultaneously?\nA.Yes\nB.No", "answer": "B"}
{"id": "1d4c3ff0-d83d-4e3d-9472-8929e674b367", "image_1": "Perception/single/1d4c3ff0-d83d-4e3d-9472-8929e674b367_0.png", "image_2": null, "question": "Can image stretching and deadline noise be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "ff6aa0bb-130c-4867-a6e2-857c20f7f628", "image_1": "Perception/single/ff6aa0bb-130c-4867-a6e2-857c20f7f628_0.png", "image_2": null, "question": "Do visual cues of image compression and color distortion appear in the image?\nA.No\nB.Yes", "answer": "A"}
{"id": "57d821b6-2943-4a16-afe2-aa93e996b7ea", "image_1": "Perception/single/57d821b6-2943-4a16-afe2-aa93e996b7ea_0.png", "image_2": null, "question": "Are image stretching and image compression present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "42045a81-668c-4005-ba29-709f795facaf", "image_1": "Perception/single/42045a81-668c-4005-ba29-709f795facaf_0.png", "image_2": null, "question": "Is the image impacted by the combination of haze and dead pixel?\nA.No\nB.Yes", "answer": "B"}
{"id": "92ca7ca8-0b7d-4f23-bf11-ef9abf9ed81a", "image_1": "Perception/single/92ca7ca8-0b7d-4f23-bf11-ef9abf9ed81a_0.png", "image_2": null, "question": "Do visual cues of color distortion and gaussian blur appear in the image?\nA.No\nB.Yes", "answer": "B"}
{"id": "4aed6571-c830-4276-b23d-18fb3f4923f4", "image_1": "Perception/single/4aed6571-c830-4276-b23d-18fb3f4923f4_0.png", "image_2": null, "question": "Is the image impacted by the combination of stripe noise and motion blur?\nA.No\nB.Yes", "answer": "B"}
{"id": "0e4d711e-53a0-4173-9d4c-cbe40e542271", "image_1": "Perception/single/0e4d711e-53a0-4173-9d4c-cbe40e542271_0.png", "image_2": null, "question": "Can motion blur and color distortion be observed at the same time in this image?\nA.No\nB.Yes", "answer": "B"}
{"id": "e7a79529-05fc-47ec-807b-a5e688734517", "image_1": "Perception/single/e7a79529-05fc-47ec-807b-a5e688734517_0.png", "image_2": null, "question": "Are cloud and image stretching present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "b33cdb47-1042-43e3-a068-042bd1dedfda", "image_1": "Perception/single/b33cdb47-1042-43e3-a068-042bd1dedfda_0.png", "image_2": null, "question": "Is the image impacted by the combination of image stretching and image compression?\nA.Yes\nB.No", "answer": "A"}
{"id": "c3b459d4-b7a4-41ff-8626-ebf8d6fbedff", "image_1": "Perception/single/c3b459d4-b7a4-41ff-8626-ebf8d6fbedff_0.png", "image_2": null, "question": "Are image compression and image stretching present together in the scene?\nA.No\nB.Yes", "answer": "B"}
{"id": "43ac0ccf-a9a7-4a72-ac5a-a32681aecf5a", "image_1": "Perception/single/43ac0ccf-a9a7-4a72-ac5a-a32681aecf5a_0.png", "image_2": null, "question": "Does this image contain spatially correlated noise and color distortion simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "a0e4634c-7fb0-402a-ab99-1a68a29837bf", "image_1": "Perception/single/a0e4634c-7fb0-402a-ab99-1a68a29837bf_0.png", "image_2": null, "question": "Can image compression and haze be observed at the same time in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "6a7a87e0-c5c0-4c0c-b199-e6245f7ccdd4", "image_1": "Perception/single/6a7a87e0-c5c0-4c0c-b199-e6245f7ccdd4_0.png", "image_2": null, "question": "Does this image contain motion blur and gaussian noise simultaneously?\nA.No\nB.Yes", "answer": "A"}
{"id": "2c96ca4a-3d7b-44cd-8159-1f95a4aaf9ab", "image_1": "Perception/single/2c96ca4a-3d7b-44cd-8159-1f95a4aaf9ab_0.png", "image_2": null, "question": "Does this image contain image stretching and image compression simultaneously?\nA.No\nB.Yes", "answer": "B"}
{"id": "4f464bca-430b-4e67-bbe7-42a5452c1f3e", "image_1": "Perception/single/4f464bca-430b-4e67-bbe7-42a5452c1f3e_0.png", "image_2": null, "question": "Can haze and image compression be observed at the same time in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "41111199-304b-433c-baf2-1f90078bb81b", "image_1": "Perception/single/41111199-304b-433c-baf2-1f90078bb81b_0.png", "image_2": null, "question": "Is deadline noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "a8910c6a-c9e1-4779-9e19-4472170806d5", "image_1": "Perception/single/a8910c6a-c9e1-4779-9e19-4472170806d5_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "5dd4c6aa-6e3d-41a2-a0f1-45133f7f2ff8", "image_1": "Perception/single/5dd4c6aa-6e3d-41a2-a0f1-45133f7f2ff8_0.png", "image_2": null, "question": "Does deadline noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "215e5e15-2c41-4347-afb4-39869ac85c16", "image_1": "Perception/single/215e5e15-2c41-4347-afb4-39869ac85c16_0.png", "image_2": null, "question": "Does deadline noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "f73f4803-eec5-4b7f-968d-b96e7dee8bf5", "image_1": "Perception/single/f73f4803-eec5-4b7f-968d-b96e7dee8bf5_0.png", "image_2": null, "question": "Is impulse noise the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "4bc8aa36-3536-48b4-8193-1a34bc504803", "image_1": "Perception/single/4bc8aa36-3536-48b4-8193-1a34bc504803_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "7e4ef6ca-7635-4971-a373-b02c4e6ab590", "image_1": "Perception/single/7e4ef6ca-7635-4971-a373-b02c4e6ab590_0.png", "image_2": null, "question": "Does deadline noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "200d6862-1f1c-4169-834d-ddce733e933b", "image_1": "Perception/single/200d6862-1f1c-4169-834d-ddce733e933b_0.png", "image_2": null, "question": "Is there haze present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ab969562-c2a5-4b98-9a1b-10151af18e4f", "image_1": "Perception/single/ab969562-c2a5-4b98-9a1b-10151af18e4f_0.png", "image_2": null, "question": "Does this image contain deadline noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "9ac74481-d06b-4757-9cb7-d4a1e87abaa5", "image_1": "Perception/single/9ac74481-d06b-4757-9cb7-d4a1e87abaa5_0.png", "image_2": null, "question": "Is gaussian noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "bd9220cd-229d-4872-9899-4c8cafcd72a8", "image_1": "Perception/single/bd9220cd-229d-4872-9899-4c8cafcd72a8_0.png", "image_2": null, "question": "Does deadline noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "c73e7b16-8766-4d4e-9766-827cf726b847", "image_1": "Perception/single/c73e7b16-8766-4d4e-9766-827cf726b847_0.png", "image_2": null, "question": "Does deadline noise compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "47cb5460-7169-4b89-a725-fa25c0829e7f", "image_1": "Perception/single/47cb5460-7169-4b89-a725-fa25c0829e7f_0.png", "image_2": null, "question": "Does this image contain dead pixel?\nA.Yes\nB.No", "answer": "B"}
{"id": "219de081-9e03-466a-b7d3-0a8032cf6716", "image_1": "Perception/single/219de081-9e03-466a-b7d3-0a8032cf6716_0.png", "image_2": null, "question": "Is deadline noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "1a251c80-1e69-429a-9b5a-b4a326938bac", "image_1": "Perception/single/1a251c80-1e69-429a-9b5a-b4a326938bac_0.png", "image_2": null, "question": "Is stripe noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "149dadf6-f310-4c13-aee9-2937254e9112", "image_1": "Perception/single/149dadf6-f310-4c13-aee9-2937254e9112_0.png", "image_2": null, "question": "Is the image impacted by deadline noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "2f48fa40-cb99-42c0-97f8-5fd575c3669e", "image_1": "Perception/single/2f48fa40-cb99-42c0-97f8-5fd575c3669e_0.png", "image_2": null, "question": "Does deadline noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "cc65a6aa-e1f3-42b3-8ab9-1be55b1937c3", "image_1": "Perception/single/cc65a6aa-e1f3-42b3-8ab9-1be55b1937c3_0.png", "image_2": null, "question": "Does color distortion result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "fc049ba9-01cd-4825-a49a-c7020cfe6241", "image_1": "Perception/single/fc049ba9-01cd-4825-a49a-c7020cfe6241_0.png", "image_2": null, "question": "Does deadline noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "62bbba9b-2862-4a05-a01a-3f08c9dd28ee", "image_1": "Perception/single/62bbba9b-2862-4a05-a01a-3f08c9dd28ee_0.png", "image_2": null, "question": "Is gaussian blur visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "69613aab-ae9a-408d-bcb6-fed74d528302", "image_1": "Perception/single/69613aab-ae9a-408d-bcb6-fed74d528302_0.png", "image_2": null, "question": "Is haze the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "f09011ab-d011-49b2-bf95-9f301cb8b1ae", "image_1": "Perception/single/f09011ab-d011-49b2-bf95-9f301cb8b1ae_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "9f69ced0-a00f-4c23-b794-7ce95785daf3", "image_1": "Perception/single/9f69ced0-a00f-4c23-b794-7ce95785daf3_0.png", "image_2": null, "question": "Is stripe noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "84de50c7-e9f7-4ccd-a93b-18a3676f4f6b", "image_1": "Perception/single/84de50c7-e9f7-4ccd-a93b-18a3676f4f6b_0.png", "image_2": null, "question": "Is deadline noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "b142d0e5-a0dd-4992-8c6e-bbc0805382d3", "image_1": "Perception/single/b142d0e5-a0dd-4992-8c6e-bbc0805382d3_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "36cf6139-0014-4296-9fed-361295397b63", "image_1": "Perception/single/36cf6139-0014-4296-9fed-361295397b63_0.png", "image_2": null, "question": "Is deadline noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "8d555828-1600-48b5-a7ab-da519ae94dfb", "image_1": "Perception/single/8d555828-1600-48b5-a7ab-da519ae94dfb_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e395b026-88a3-4ab7-a1b1-a066e00cbf21", "image_1": "Perception/single/e395b026-88a3-4ab7-a1b1-a066e00cbf21_0.png", "image_2": null, "question": "Does dead pixel lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "c36d4d17-c90b-4c70-b2ee-34e8b2af2b6b", "image_1": "Perception/single/c36d4d17-c90b-4c70-b2ee-34e8b2af2b6b_0.png", "image_2": null, "question": "Is there deadline noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b1deb2e7-92b0-4c21-bd04-f950403992f9", "image_1": "Perception/single/b1deb2e7-92b0-4c21-bd04-f950403992f9_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c18728d1-9dbb-4d40-996f-68ee5c5ddde1", "image_1": "Perception/single/c18728d1-9dbb-4d40-996f-68ee5c5ddde1_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "e0244852-92f4-451c-9522-5d7cd0585e1e", "image_1": "Perception/single/e0244852-92f4-451c-9522-5d7cd0585e1e_0.png", "image_2": null, "question": "Does deadline noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "6ea1aa60-31d1-468d-8783-4e16fd3af977", "image_1": "Perception/single/6ea1aa60-31d1-468d-8783-4e16fd3af977_0.png", "image_2": null, "question": "Does deadline noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "524fe5ac-dfef-49e9-bb38-067899330e93", "image_1": "Perception/single/524fe5ac-dfef-49e9-bb38-067899330e93_0.png", "image_2": null, "question": "Is image stretching present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "0b52eb79-355c-45b4-b870-148e60f69f89", "image_1": "Perception/single/0b52eb79-355c-45b4-b870-148e60f69f89_0.png", "image_2": null, "question": "Is deadline noise a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "386a3a1a-0940-4dbd-9554-8ac7b008498a", "image_1": "Perception/single/386a3a1a-0940-4dbd-9554-8ac7b008498a_0.png", "image_2": null, "question": "Can deadline noise be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "2094a577-d838-4686-b1a7-3ed695ff357f", "image_1": "Perception/single/2094a577-d838-4686-b1a7-3ed695ff357f_0.png", "image_2": null, "question": "Does deadline noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "d5cdc9f7-d2a7-4081-a0ae-8ce9c97e5be9", "image_1": "Perception/single/d5cdc9f7-d2a7-4081-a0ae-8ce9c97e5be9_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "5c486cc6-350a-48ef-91ab-bf25f43d9fb2", "image_1": "Perception/single/5c486cc6-350a-48ef-91ab-bf25f43d9fb2_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "6d030111-89b2-4241-967d-c88fa6ca72d9", "image_1": "Perception/single/6d030111-89b2-4241-967d-c88fa6ca72d9_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "0b47134f-a0f2-45c1-962e-8ab10b53deb7", "image_1": "Perception/single/0b47134f-a0f2-45c1-962e-8ab10b53deb7_0.png", "image_2": null, "question": "Does deadline noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "28b09dc0-588d-46f7-9ccf-a8d8c6a0c59a", "image_1": "Perception/single/28b09dc0-588d-46f7-9ccf-a8d8c6a0c59a_0.png", "image_2": null, "question": "Is deadline noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "f6408f8f-f8d4-4f04-badf-8e75adca193d", "image_1": "Perception/single/f6408f8f-f8d4-4f04-badf-8e75adca193d_0.png", "image_2": null, "question": "Does deadline noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "08af8081-45b9-4cf6-b469-d36fbc08fd2b", "image_1": "Perception/single/08af8081-45b9-4cf6-b469-d36fbc08fd2b_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "6fa0c118-23d8-460c-bfea-e6a2ce43a0e6", "image_1": "Perception/single/6fa0c118-23d8-460c-bfea-e6a2ce43a0e6_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "b91a463a-68c4-44da-92f9-e93a6ded2539", "image_1": "Perception/single/b91a463a-68c4-44da-92f9-e93a6ded2539_0.png", "image_2": null, "question": "Is deadline noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "0db60701-0c00-43f2-a5c3-ce5e6540e888", "image_1": "Perception/single/0db60701-0c00-43f2-a5c3-ce5e6540e888_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "90d3bcbc-274a-4d79-b103-3d82ba0bb7f7", "image_1": "Perception/single/90d3bcbc-274a-4d79-b103-3d82ba0bb7f7_0.png", "image_2": null, "question": "Is deadline noise a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "2ddeb4ee-e22f-4fb4-99bd-4a3ff20a0887", "image_1": "Perception/single/2ddeb4ee-e22f-4fb4-99bd-4a3ff20a0887_0.png", "image_2": null, "question": "Does deadline noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "e2388669-1303-41a8-af21-6c120e7187e8", "image_1": "Perception/single/e2388669-1303-41a8-af21-6c120e7187e8_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "0dde3991-bbdb-4766-a373-7eb075fa7026", "image_1": "Perception/single/0dde3991-bbdb-4766-a373-7eb075fa7026_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "7d93ea7a-d8a9-472b-8a73-f570138c06b4", "image_1": "Perception/single/7d93ea7a-d8a9-472b-8a73-f570138c06b4_0.png", "image_2": null, "question": "Does image stretching obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "59cb52aa-d593-4689-b9f7-ebc6d44a4193", "image_1": "Perception/single/59cb52aa-d593-4689-b9f7-ebc6d44a4193_0.png", "image_2": null, "question": "Is deadline noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "360eae4c-c6af-4a76-b521-97a338e7ae68", "image_1": "Perception/single/360eae4c-c6af-4a76-b521-97a338e7ae68_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "4dfc3591-6024-419a-bb7b-c2526bb30a51", "image_1": "Perception/single/4dfc3591-6024-419a-bb7b-c2526bb30a51_0.png", "image_2": null, "question": "Does deadline noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "f8b58625-5d8b-4986-ad8e-8be0a4542d4f", "image_1": "Perception/single/f8b58625-5d8b-4986-ad8e-8be0a4542d4f_0.png", "image_2": null, "question": "Does deadline noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "c2d4770f-43f4-40e1-995b-804226608da0", "image_1": "Perception/single/c2d4770f-43f4-40e1-995b-804226608da0_0.png", "image_2": null, "question": "Is deadline noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "cb03212a-eda3-4251-b76c-7d4ca0793cae", "image_1": "Perception/single/cb03212a-eda3-4251-b76c-7d4ca0793cae_0.png", "image_2": null, "question": "Does deadline noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "ac969680-9564-4a31-812e-44e3085dae90", "image_1": "Perception/single/ac969680-9564-4a31-812e-44e3085dae90_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "3ec03188-20ce-4134-a410-01f11a74cb45", "image_1": "Perception/single/3ec03188-20ce-4134-a410-01f11a74cb45_0.png", "image_2": null, "question": "Does deadline noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "b1615e88-7175-46e1-b89d-2bf8b1e1d33f", "image_1": "Perception/single/b1615e88-7175-46e1-b89d-2bf8b1e1d33f_0.png", "image_2": null, "question": "Is there deadline noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "71704007-1e4f-40a2-acc3-23c58b234cc1", "image_1": "Perception/single/71704007-1e4f-40a2-acc3-23c58b234cc1_0.png", "image_2": null, "question": "Is deadline noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "09e5155a-dbe3-4651-afab-32b09ab14000", "image_1": "Perception/single/09e5155a-dbe3-4651-afab-32b09ab14000_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "027931a1-1f2c-43f7-8f38-bff7d9a74d63", "image_1": "Perception/single/027931a1-1f2c-43f7-8f38-bff7d9a74d63_0.png", "image_2": null, "question": "Is gaussian noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c955922a-21d6-40cc-a2fb-32706d2a30e2", "image_1": "Perception/single/c955922a-21d6-40cc-a2fb-32706d2a30e2_0.png", "image_2": null, "question": "Is missing tiles the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "3898b7a3-4d1a-4d4e-8ca9-956740c41e8b", "image_1": "Perception/single/3898b7a3-4d1a-4d4e-8ca9-956740c41e8b_0.png", "image_2": null, "question": "Is deadline noise a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "f96bf36c-013a-411b-a6e8-1db89d520836", "image_1": "Perception/single/f96bf36c-013a-411b-a6e8-1db89d520836_0.png", "image_2": null, "question": "Is dead pixel apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "82696ccd-b73e-4ada-9ca4-a27affd72d80", "image_1": "Perception/single/82696ccd-b73e-4ada-9ca4-a27affd72d80_0.png", "image_2": null, "question": "Does cloud reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "da4b1099-2314-44e6-b808-64529cafb483", "image_1": "Perception/single/da4b1099-2314-44e6-b808-64529cafb483_0.png", "image_2": null, "question": "Does the image exhibit deadline noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "508d1ebe-d61b-4e79-acf8-2bcdbe535e50", "image_1": "Perception/single/508d1ebe-d61b-4e79-acf8-2bcdbe535e50_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "35f74b27-3f98-4465-bb81-4e9d0a5db2f4", "image_1": "Perception/single/35f74b27-3f98-4465-bb81-4e9d0a5db2f4_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "8357d374-f1db-4089-a0ac-ff017a4988b6", "image_1": "Perception/single/8357d374-f1db-4089-a0ac-ff017a4988b6_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "3418a7eb-53e4-43cb-bd5e-943b6f4a79bf", "image_1": "Perception/single/3418a7eb-53e4-43cb-bd5e-943b6f4a79bf_0.png", "image_2": null, "question": "Does deadline noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "497f459d-b73e-41ec-bd42-1f15a040e992", "image_1": "Perception/single/497f459d-b73e-41ec-bd42-1f15a040e992_0.png", "image_2": null, "question": "Does haze result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "0c001899-e0eb-446d-bf1e-1712b31e428a", "image_1": "Perception/single/0c001899-e0eb-446d-bf1e-1712b31e428a_0.png", "image_2": null, "question": "Can cloud be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f238d860-49b4-493c-9554-6b0194405111", "image_1": "Perception/single/f238d860-49b4-493c-9554-6b0194405111_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "d36fdbdf-5d49-44bd-bd51-d3d074a3c4f9", "image_1": "Perception/single/d36fdbdf-5d49-44bd-bd51-d3d074a3c4f9_0.png", "image_2": null, "question": "Is image stretching apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "22cac3a0-d77c-4ef7-b33b-429bd628cfdb", "image_1": "Perception/single/22cac3a0-d77c-4ef7-b33b-429bd628cfdb_0.png", "image_2": null, "question": "Is there gaussian noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "eac7561f-1d55-423a-bf12-93486256e4f1", "image_1": "Perception/single/eac7561f-1d55-423a-bf12-93486256e4f1_0.png", "image_2": null, "question": "Is deadline noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "92773576-9a2d-4fcf-9121-7061d7fc0897", "image_1": "Perception/single/92773576-9a2d-4fcf-9121-7061d7fc0897_0.png", "image_2": null, "question": "Is impulse noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "bfee44a2-5a76-46dc-9b4d-566802193ef2", "image_1": "Perception/single/bfee44a2-5a76-46dc-9b4d-566802193ef2_0.png", "image_2": null, "question": "Is the image impacted by deadline noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "3537c6a3-f967-453c-b2f2-c9c610e7f9a0", "image_1": "Perception/single/3537c6a3-f967-453c-b2f2-c9c610e7f9a0_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "765b12e7-7bb2-4cd1-b317-34216dfa07ee", "image_1": "Perception/single/765b12e7-7bb2-4cd1-b317-34216dfa07ee_0.png", "image_2": null, "question": "Does cloud interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "503c1c41-ba97-4b7d-972e-32a911317a8a", "image_1": "Perception/single/503c1c41-ba97-4b7d-972e-32a911317a8a_0.png", "image_2": null, "question": "Is deadline noise a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "f02436a5-4f7d-4253-8cfd-12176896d325", "image_1": "Perception/single/f02436a5-4f7d-4253-8cfd-12176896d325_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a97da94b-fd78-44d6-9ae4-2931b24efc79", "image_1": "Perception/single/a97da94b-fd78-44d6-9ae4-2931b24efc79_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "5b36100e-a807-4156-b581-5ad0ee759b27", "image_1": "Perception/single/5b36100e-a807-4156-b581-5ad0ee759b27_0.png", "image_2": null, "question": "Is deadline noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "3d09e52c-afae-40ac-af82-0d4f52e0602d", "image_1": "Perception/single/3d09e52c-afae-40ac-af82-0d4f52e0602d_0.png", "image_2": null, "question": "Is gaussian blur the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "a8b500bb-2199-497a-8737-dd9ebc4ffdb0", "image_1": "Perception/single/a8b500bb-2199-497a-8737-dd9ebc4ffdb0_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "ad596cca-4755-4c7b-a427-dc291816eaa1", "image_1": "Perception/single/ad596cca-4755-4c7b-a427-dc291816eaa1_0.png", "image_2": null, "question": "Is deadline noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "97360140-bc99-4006-80b3-cbb8cabdb51b", "image_1": "Perception/single/97360140-bc99-4006-80b3-cbb8cabdb51b_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "e1ca68f4-ea0a-477a-8177-89278819a9e0", "image_1": "Perception/single/e1ca68f4-ea0a-477a-8177-89278819a9e0_0.png", "image_2": null, "question": "Is haze visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "0abca7fb-2d21-4c60-9296-7ea0d2ba6f45", "image_1": "Perception/single/0abca7fb-2d21-4c60-9296-7ea0d2ba6f45_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "47f87493-b164-49b3-aacc-a66c9af5a3f2", "image_1": "Perception/single/47f87493-b164-49b3-aacc-a66c9af5a3f2_0.png", "image_2": null, "question": "Does deadline noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "b3bbb06e-19c5-4fe2-b2ca-04e5094ef1b4", "image_1": "Perception/single/b3bbb06e-19c5-4fe2-b2ca-04e5094ef1b4_0.png", "image_2": null, "question": "Does deadline noise compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "e6f26069-5e5b-4f43-880d-9dd288274304", "image_1": "Perception/single/e6f26069-5e5b-4f43-880d-9dd288274304_0.png", "image_2": null, "question": "Is deadline noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "43fcefcd-6c09-4e94-b19f-2e8e9c19ba2f", "image_1": "Perception/single/43fcefcd-6c09-4e94-b19f-2e8e9c19ba2f_0.png", "image_2": null, "question": "Does deadline noise compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "0ecf9429-3d34-4c06-8b29-80930e705a2a", "image_1": "Perception/single/0ecf9429-3d34-4c06-8b29-80930e705a2a_0.png", "image_2": null, "question": "Is deadline noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "412a9870-34b9-4ed9-af42-a7e637e28424", "image_1": "Perception/single/412a9870-34b9-4ed9-af42-a7e637e28424_0.png", "image_2": null, "question": "Is dead pixel present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "a9d83e1a-1f7a-4d3e-8b0d-a6d4dc25b874", "image_1": "Perception/single/a9d83e1a-1f7a-4d3e-8b0d-a6d4dc25b874_0.png", "image_2": null, "question": "Does deadline noise compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "77a8a7f2-60d4-4229-b37a-293cc469b11c", "image_1": "Perception/single/77a8a7f2-60d4-4229-b37a-293cc469b11c_0.png", "image_2": null, "question": "Is gaussian noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "5fe6ce79-119e-47f4-b8e9-26dbf95d9886", "image_1": "Perception/single/5fe6ce79-119e-47f4-b8e9-26dbf95d9886_0.png", "image_2": null, "question": "Does this image contain gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "d171082d-c757-4f9b-a053-a00de5b0f5ac", "image_1": "Perception/single/d171082d-c757-4f9b-a053-a00de5b0f5ac_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "9d3bd989-c09b-43c2-b329-03132d03ac8c", "image_1": "Perception/single/9d3bd989-c09b-43c2-b329-03132d03ac8c_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "efdda980-cb69-437f-8155-782a42453274", "image_1": "Perception/single/efdda980-cb69-437f-8155-782a42453274_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "498beec1-0d7e-4a7b-a605-d2a17aa17e4e", "image_1": "Perception/single/498beec1-0d7e-4a7b-a605-d2a17aa17e4e_0.png", "image_2": null, "question": "Does gaussian noise result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "bd255956-bf9b-4f48-b952-990eea2bdb92", "image_1": "Perception/single/bd255956-bf9b-4f48-b952-990eea2bdb92_0.png", "image_2": null, "question": "Is the image impacted by gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "81444247-7a22-42d2-b97b-06b7f4d990d8", "image_1": "Perception/single/81444247-7a22-42d2-b97b-06b7f4d990d8_0.png", "image_2": null, "question": "Is there gaussian noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "78181e17-6f5d-4453-9dd5-b263554d4370", "image_1": "Perception/single/78181e17-6f5d-4453-9dd5-b263554d4370_0.png", "image_2": null, "question": "Does gaussian blur affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "852991fb-5960-45d3-8bbf-ea2c99418e98", "image_1": "Perception/single/852991fb-5960-45d3-8bbf-ea2c99418e98_0.png", "image_2": null, "question": "Does stripe noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "a479b1c2-cdeb-479a-8c27-03c7ed8c79c2", "image_1": "Perception/single/a479b1c2-cdeb-479a-8c27-03c7ed8c79c2_0.png", "image_2": null, "question": "Is image stretching a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d6d33f31-024d-4cdd-9d12-9169220bd750", "image_1": "Perception/single/d6d33f31-024d-4cdd-9d12-9169220bd750_0.png", "image_2": null, "question": "Does this image contain gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "ab7c86b8-7ff3-4d45-ab25-98f7cb73a7f4", "image_1": "Perception/single/ab7c86b8-7ff3-4d45-ab25-98f7cb73a7f4_0.png", "image_2": null, "question": "Is image stretching a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a580b76b-c9a0-44ee-88d5-d156de3789d9", "image_1": "Perception/single/a580b76b-c9a0-44ee-88d5-d156de3789d9_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c20d1813-1f55-4da1-a3e1-ea43d49aac28", "image_1": "Perception/single/c20d1813-1f55-4da1-a3e1-ea43d49aac28_0.png", "image_2": null, "question": "Is the image impacted by gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "ca4965af-1108-4684-98ad-f0c2a79ee8af", "image_1": "Perception/single/ca4965af-1108-4684-98ad-f0c2a79ee8af_0.png", "image_2": null, "question": "Does gaussian noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "47b423e3-a29b-4147-96d8-0c5021c9a57b", "image_1": "Perception/single/47b423e3-a29b-4147-96d8-0c5021c9a57b_0.png", "image_2": null, "question": "Does gaussian noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8c49fd97-244d-4555-8e1b-0a222f542631", "image_1": "Perception/single/8c49fd97-244d-4555-8e1b-0a222f542631_0.png", "image_2": null, "question": "Does gaussian noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "b9cf55ae-43dc-4780-958c-f377f1d2e3ec", "image_1": "Perception/single/b9cf55ae-43dc-4780-958c-f377f1d2e3ec_0.png", "image_2": null, "question": "Does gaussian noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "2176117c-7979-4554-bc05-bec3c688585c", "image_1": "Perception/single/2176117c-7979-4554-bc05-bec3c688585c_0.png", "image_2": null, "question": "Is gaussian blur visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "6a6cf21c-72f9-4f4a-bff2-0c173d5ca11e", "image_1": "Perception/single/6a6cf21c-72f9-4f4a-bff2-0c173d5ca11e_0.png", "image_2": null, "question": "Is haze the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "818da873-2e70-45ad-8221-ceea45742834", "image_1": "Perception/single/818da873-2e70-45ad-8221-ceea45742834_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "69fcb087-36cb-4304-aa16-7f16c884e2c0", "image_1": "Perception/single/69fcb087-36cb-4304-aa16-7f16c884e2c0_0.png", "image_2": null, "question": "Is stripe noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "6a319f9b-d5c2-47e4-9e3c-2a9ec93cda4b", "image_1": "Perception/single/6a319f9b-d5c2-47e4-9e3c-2a9ec93cda4b_0.png", "image_2": null, "question": "Is gaussian noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "f658db4f-ce79-4544-a8e5-8c9f44a16e7b", "image_1": "Perception/single/f658db4f-ce79-4544-a8e5-8c9f44a16e7b_0.png", "image_2": null, "question": "Does gaussian noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "21af4f87-0e53-47f7-b800-1e42c96306d0", "image_1": "Perception/single/21af4f87-0e53-47f7-b800-1e42c96306d0_0.png", "image_2": null, "question": "Is cloud the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "8159a6c5-c68c-437d-bb91-1a47fd100fc7", "image_1": "Perception/single/8159a6c5-c68c-437d-bb91-1a47fd100fc7_0.png", "image_2": null, "question": "Can gaussian noise be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ae655b76-829b-44da-9f4f-5abc0ef51b7f", "image_1": "Perception/single/ae655b76-829b-44da-9f4f-5abc0ef51b7f_0.png", "image_2": null, "question": "Can gaussian noise be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6f77a230-199a-4fc7-80d1-95acfeb0303d", "image_1": "Perception/single/6f77a230-199a-4fc7-80d1-95acfeb0303d_0.png", "image_2": null, "question": "Is gaussian noise a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "45bb9613-aea6-401a-b8ad-e3970bcd38d0", "image_1": "Perception/single/45bb9613-aea6-401a-b8ad-e3970bcd38d0_0.png", "image_2": null, "question": "Does gaussian noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "43f4644b-3e94-4662-9cdf-4a6fab6dd0f4", "image_1": "Perception/single/43f4644b-3e94-4662-9cdf-4a6fab6dd0f4_0.png", "image_2": null, "question": "Does motion blur reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "da94fec2-35c7-47df-bde2-69dc53c2dcdd", "image_1": "Perception/single/da94fec2-35c7-47df-bde2-69dc53c2dcdd_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "d2b492b3-2b1d-4e2e-899d-754f236b0a97", "image_1": "Perception/single/d2b492b3-2b1d-4e2e-899d-754f236b0a97_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "d3d52dff-399b-4979-8bf6-f4e1aafa2086", "image_1": "Perception/single/d3d52dff-399b-4979-8bf6-f4e1aafa2086_0.png", "image_2": null, "question": "Is gaussian noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "3501c238-e3b0-4a56-a16d-a0f098d6b987", "image_1": "Perception/single/3501c238-e3b0-4a56-a16d-a0f098d6b987_0.png", "image_2": null, "question": "Is gaussian noise present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "a5608a81-bea9-4c97-b93e-5fd5464bdfc1", "image_1": "Perception/single/a5608a81-bea9-4c97-b93e-5fd5464bdfc1_0.png", "image_2": null, "question": "Is dead pixel a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "5e0b5c20-470a-4838-be8f-674fe1457f91", "image_1": "Perception/single/5e0b5c20-470a-4838-be8f-674fe1457f91_0.png", "image_2": null, "question": "Can gaussian noise be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "0741a93e-d730-41e4-a197-37189f4e9cd3", "image_1": "Perception/single/0741a93e-d730-41e4-a197-37189f4e9cd3_0.png", "image_2": null, "question": "Does gaussian noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "0eb29ab6-abd5-4fe5-8292-360c1e310e18", "image_1": "Perception/single/0eb29ab6-abd5-4fe5-8292-360c1e310e18_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "0c4e8a9e-ec9d-4291-9b05-fbec6a772376", "image_1": "Perception/single/0c4e8a9e-ec9d-4291-9b05-fbec6a772376_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "f2e9c824-87db-43c9-af93-4eeca6934c30", "image_1": "Perception/single/f2e9c824-87db-43c9-af93-4eeca6934c30_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "0138df1d-e008-4d5c-99d6-2dce110ebdb5", "image_1": "Perception/single/0138df1d-e008-4d5c-99d6-2dce110ebdb5_0.png", "image_2": null, "question": "Does gaussian noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "f595f97e-5f26-4e7a-a14a-e1f4e3e62860", "image_1": "Perception/single/f595f97e-5f26-4e7a-a14a-e1f4e3e62860_0.png", "image_2": null, "question": "Is gaussian noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "fb07205b-c370-4666-88a8-eda5be37493f", "image_1": "Perception/single/fb07205b-c370-4666-88a8-eda5be37493f_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "8b01b519-8ce1-4c11-8cc4-13da6a3a56dc", "image_1": "Perception/single/8b01b519-8ce1-4c11-8cc4-13da6a3a56dc_0.png", "image_2": null, "question": "Can color distortion be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "b793c7be-e783-459c-ad91-0d9c4414d6de", "image_1": "Perception/single/b793c7be-e783-459c-ad91-0d9c4414d6de_0.png", "image_2": null, "question": "Can deadline noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d2af41fe-9875-4ae2-9992-bd25548f6f6a", "image_1": "Perception/single/d2af41fe-9875-4ae2-9992-bd25548f6f6a_0.png", "image_2": null, "question": "Can gaussian noise be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c7eb64cc-85ae-4156-88fa-e2099081b777", "image_1": "Perception/single/c7eb64cc-85ae-4156-88fa-e2099081b777_0.png", "image_2": null, "question": "Does stripe noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "2b299df5-4af5-483a-9820-6081e221a830", "image_1": "Perception/single/2b299df5-4af5-483a-9820-6081e221a830_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "685fb110-402d-4448-b37f-e620d4b238f4", "image_1": "Perception/single/685fb110-402d-4448-b37f-e620d4b238f4_0.png", "image_2": null, "question": "Is gaussian noise a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "1cd39797-e835-4abc-b547-7fef304a0c30", "image_1": "Perception/single/1cd39797-e835-4abc-b547-7fef304a0c30_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "7bffcdf0-16d0-4957-8a49-2f5ffc421265", "image_1": "Perception/single/7bffcdf0-16d0-4957-8a49-2f5ffc421265_0.png", "image_2": null, "question": "Does image stretching obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "c867e788-5f68-4395-a97f-9c1d821faa87", "image_1": "Perception/single/c867e788-5f68-4395-a97f-9c1d821faa87_0.png", "image_2": null, "question": "Is gaussian noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ab872ada-f486-49db-bf8b-5c237e54aa1e", "image_1": "Perception/single/ab872ada-f486-49db-bf8b-5c237e54aa1e_0.png", "image_2": null, "question": "Does gaussian noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a764cb2c-d7e9-4fbb-bec5-91fb2f04465d", "image_1": "Perception/single/a764cb2c-d7e9-4fbb-bec5-91fb2f04465d_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "3d4320f1-570e-4c17-ba82-628b09d6d90a", "image_1": "Perception/single/3d4320f1-570e-4c17-ba82-628b09d6d90a_0.png", "image_2": null, "question": "Does gaussian noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "15fab131-1e20-4e23-b374-5b010aae7f0d", "image_1": "Perception/single/15fab131-1e20-4e23-b374-5b010aae7f0d_0.png", "image_2": null, "question": "Is gaussian noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c303344a-ee7a-4353-8efe-734a9a9edc39", "image_1": "Perception/single/c303344a-ee7a-4353-8efe-734a9a9edc39_0.png", "image_2": null, "question": "Does gaussian noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "9465c73a-be58-438e-86b0-d9081f792433", "image_1": "Perception/single/9465c73a-be58-438e-86b0-d9081f792433_0.png", "image_2": null, "question": "Is gaussian noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "4187f4b5-5bc7-40ca-baeb-ca282ff1cc0e", "image_1": "Perception/single/4187f4b5-5bc7-40ca-baeb-ca282ff1cc0e_0.png", "image_2": null, "question": "Is there gaussian noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "5f3f075b-06b1-48d8-89c0-2979db9b9c72", "image_1": "Perception/single/5f3f075b-06b1-48d8-89c0-2979db9b9c72_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a794d09d-afc7-45c4-a1e5-22c193ee8806", "image_1": "Perception/single/a794d09d-afc7-45c4-a1e5-22c193ee8806_0.png", "image_2": null, "question": "Is gaussian noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "1d6b78ac-39dd-486f-a35b-f3734c6d0e38", "image_1": "Perception/single/1d6b78ac-39dd-486f-a35b-f3734c6d0e38_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "c6d99ee6-c741-42ff-a99d-0a59b9234a66", "image_1": "Perception/single/c6d99ee6-c741-42ff-a99d-0a59b9234a66_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "b23f4878-3e6e-496f-97d5-f8b8547abb99", "image_1": "Perception/single/b23f4878-3e6e-496f-97d5-f8b8547abb99_0.png", "image_2": null, "question": "Is gaussian noise a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "47fd0494-3caf-4373-8ece-b110aea8c3df", "image_1": "Perception/single/47fd0494-3caf-4373-8ece-b110aea8c3df_0.png", "image_2": null, "question": "Does gaussian noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "f6e5d20a-6380-4f37-ab4c-ac837cdfbb3f", "image_1": "Perception/single/f6e5d20a-6380-4f37-ab4c-ac837cdfbb3f_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "352eaeeb-8533-4ba3-91da-80d06c82f784", "image_1": "Perception/single/352eaeeb-8533-4ba3-91da-80d06c82f784_0.png", "image_2": null, "question": "Is dead pixel apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "58f5493c-698c-45d4-a11d-3dbbe112f8cc", "image_1": "Perception/single/58f5493c-698c-45d4-a11d-3dbbe112f8cc_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "b3114d54-9825-4505-a0c4-2ca8216f4ade", "image_1": "Perception/single/b3114d54-9825-4505-a0c4-2ca8216f4ade_0.png", "image_2": null, "question": "Does gaussian noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "1f78f746-4573-4d4b-97f4-4788d04fddc7", "image_1": "Perception/single/1f78f746-4573-4d4b-97f4-4788d04fddc7_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "ab98b98a-311e-41d1-8db1-d8c0926285c9", "image_1": "Perception/single/ab98b98a-311e-41d1-8db1-d8c0926285c9_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "a8d4d627-c9b3-4f5d-831c-29f8782bed3c", "image_1": "Perception/single/a8d4d627-c9b3-4f5d-831c-29f8782bed3c_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "69c88485-8b6d-46ea-9aae-6e0579042936", "image_1": "Perception/single/69c88485-8b6d-46ea-9aae-6e0579042936_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "a71d53cf-be61-4891-81ed-2199295e7d1d", "image_1": "Perception/single/a71d53cf-be61-4891-81ed-2199295e7d1d_0.png", "image_2": null, "question": "Is the image impacted by gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "d3890a73-9d84-4bac-b4a0-732c9841376b", "image_1": "Perception/single/d3890a73-9d84-4bac-b4a0-732c9841376b_0.png", "image_2": null, "question": "Does gaussian noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "4fefc914-d9a1-4b6f-ada4-8f19d5603410", "image_1": "Perception/single/4fefc914-d9a1-4b6f-ada4-8f19d5603410_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "0eafe1fb-fed3-47d7-9171-3428e3361329", "image_1": "Perception/single/0eafe1fb-fed3-47d7-9171-3428e3361329_0.png", "image_2": null, "question": "Can gaussian noise be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "2d820ac6-8caa-4cd3-b2dc-fe4726778021", "image_1": "Perception/single/2d820ac6-8caa-4cd3-b2dc-fe4726778021_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "d29ea3dd-66ef-4f0e-83cb-a3be8ad330e7", "image_1": "Perception/single/d29ea3dd-66ef-4f0e-83cb-a3be8ad330e7_0.png", "image_2": null, "question": "Is image stretching apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "55a0fc14-ff50-4483-b3c1-829a87e2921c", "image_1": "Perception/single/55a0fc14-ff50-4483-b3c1-829a87e2921c_0.png", "image_2": null, "question": "Is there gaussian noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "240586c1-ad35-4655-8633-20f1a8cdba55", "image_1": "Perception/single/240586c1-ad35-4655-8633-20f1a8cdba55_0.png", "image_2": null, "question": "Is gaussian noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "2876909c-b3f2-4747-9989-88851e3b5203", "image_1": "Perception/single/2876909c-b3f2-4747-9989-88851e3b5203_0.png", "image_2": null, "question": "Does the image exhibit gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "f0437168-b2a8-499b-ba4f-7b83bdd1de0e", "image_1": "Perception/single/f0437168-b2a8-499b-ba4f-7b83bdd1de0e_0.png", "image_2": null, "question": "Is gaussian noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "96c7515d-905d-4bf8-a8c6-9bc601bb3213", "image_1": "Perception/single/96c7515d-905d-4bf8-a8c6-9bc601bb3213_0.png", "image_2": null, "question": "Is the image impacted by gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "15572a15-2e75-46b4-b1ba-d44792e6e108", "image_1": "Perception/single/15572a15-2e75-46b4-b1ba-d44792e6e108_0.png", "image_2": null, "question": "Does dead pixel affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "9d1ef52c-3a2a-4698-b2ea-2ac6e706f7da", "image_1": "Perception/single/9d1ef52c-3a2a-4698-b2ea-2ac6e706f7da_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "61a6d2d2-1789-433d-a976-db21ccfbbaed", "image_1": "Perception/single/61a6d2d2-1789-433d-a976-db21ccfbbaed_0.png", "image_2": null, "question": "Is cloud a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "202a1e60-fb66-4b21-a940-275b49747839", "image_1": "Perception/single/202a1e60-fb66-4b21-a940-275b49747839_0.png", "image_2": null, "question": "Does color distortion compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "8ad0300e-df27-4e52-84e5-c72fe1394d1a", "image_1": "Perception/single/8ad0300e-df27-4e52-84e5-c72fe1394d1a_0.png", "image_2": null, "question": "Is image compression responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "3f96ac5a-65e0-430b-98d1-2fd8ef44ec90", "image_1": "Perception/single/3f96ac5a-65e0-430b-98d1-2fd8ef44ec90_0.png", "image_2": null, "question": "Does this image contain gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "e86ca583-7f7e-4fb6-98fe-88421e626cdb", "image_1": "Perception/single/e86ca583-7f7e-4fb6-98fe-88421e626cdb_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c21e29ea-30d1-4bf9-a7ec-25653ca48fd1", "image_1": "Perception/single/c21e29ea-30d1-4bf9-a7ec-25653ca48fd1_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "5edb6d18-080e-46d9-b96b-2ea4c84526d2", "image_1": "Perception/single/5edb6d18-080e-46d9-b96b-2ea4c84526d2_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "665419a7-e399-4d74-9f99-e4836758fc49", "image_1": "Perception/single/665419a7-e399-4d74-9f99-e4836758fc49_0.png", "image_2": null, "question": "Is the image impacted by gaussian noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "41b955e0-08fe-4b1e-bef7-87ef2f8a38c9", "image_1": "Perception/single/41b955e0-08fe-4b1e-bef7-87ef2f8a38c9_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "8b73349c-8ece-49a2-9f0c-46a274e65dc3", "image_1": "Perception/single/8b73349c-8ece-49a2-9f0c-46a274e65dc3_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "645c6f31-d56d-4b38-a5a6-4a2cc9efa72c", "image_1": "Perception/single/645c6f31-d56d-4b38-a5a6-4a2cc9efa72c_0.png", "image_2": null, "question": "Is image stretching visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f7d3ca34-4423-43f7-bf49-b8df2a1b170c", "image_1": "Perception/single/f7d3ca34-4423-43f7-bf49-b8df2a1b170c_0.png", "image_2": null, "question": "Does gaussian noise compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "9169272b-dfc5-49cd-b6d6-4ed045a7ea83", "image_1": "Perception/single/9169272b-dfc5-49cd-b6d6-4ed045a7ea83_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "15035af2-ab24-4ed7-9593-b510f3d31119", "image_1": "Perception/single/15035af2-ab24-4ed7-9593-b510f3d31119_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "1f47b6c1-2195-4306-ab42-e1a12974c0b3", "image_1": "Perception/single/1f47b6c1-2195-4306-ab42-e1a12974c0b3_0.png", "image_2": null, "question": "Does this image contain impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "875bd172-3631-408b-b794-943e06b82962", "image_1": "Perception/single/875bd172-3631-408b-b794-943e06b82962_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "f5326ba8-9371-46aa-8188-7aec2ff67ef9", "image_1": "Perception/single/f5326ba8-9371-46aa-8188-7aec2ff67ef9_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "0cbb16ae-d2e1-4b74-8cc4-b8b992eba15a", "image_1": "Perception/single/0cbb16ae-d2e1-4b74-8cc4-b8b992eba15a_0.png", "image_2": null, "question": "Does the image exhibit image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "5c5318db-e4e7-4022-8d69-6590731b42d3", "image_1": "Perception/single/5c5318db-e4e7-4022-8d69-6590731b42d3_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "fc031f6e-d4fb-4f30-ac8b-a7a6c93f478c", "image_1": "Perception/single/fc031f6e-d4fb-4f30-ac8b-a7a6c93f478c_0.png", "image_2": null, "question": "Does gaussian noise result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "7bf52c8b-b832-4317-9158-30be9648f294", "image_1": "Perception/single/7bf52c8b-b832-4317-9158-30be9648f294_0.png", "image_2": null, "question": "Is there haze present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "b8891c93-825f-4134-9873-795d9d5d0486", "image_1": "Perception/single/b8891c93-825f-4134-9873-795d9d5d0486_0.png", "image_2": null, "question": "Does this image contain impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "be8e9dd0-5d7f-4a8e-ae63-d32d8e71ba9f", "image_1": "Perception/single/be8e9dd0-5d7f-4a8e-ae63-d32d8e71ba9f_0.png", "image_2": null, "question": "Does impulse noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "e4f0a34b-b58c-4209-9734-ab8585e7df05", "image_1": "Perception/single/e4f0a34b-b58c-4209-9734-ab8585e7df05_0.png", "image_2": null, "question": "Is impulse noise a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "c32be108-f1f7-431f-b50a-ed899802db67", "image_1": "Perception/single/c32be108-f1f7-431f-b50a-ed899802db67_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "c90f1e3c-8ab3-4efe-93a6-561cbcdd45b9", "image_1": "Perception/single/c90f1e3c-8ab3-4efe-93a6-561cbcdd45b9_0.png", "image_2": null, "question": "Does impulse noise compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "a37c704e-ef20-4e39-b4b4-688f733792e4", "image_1": "Perception/single/a37c704e-ef20-4e39-b4b4-688f733792e4_0.png", "image_2": null, "question": "Does this image contain dead pixel?\nA.Yes\nB.No", "answer": "B"}
{"id": "dded4131-2d06-4535-85b2-a6a97d5b2cda", "image_1": "Perception/single/dded4131-2d06-4535-85b2-a6a97d5b2cda_0.png", "image_2": null, "question": "Is impulse noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "09e05eae-c191-4b6e-8086-33b93258098c", "image_1": "Perception/single/09e05eae-c191-4b6e-8086-33b93258098c_0.png", "image_2": null, "question": "Is stripe noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "789ddcf1-e013-447a-a94a-ab96a081f66a", "image_1": "Perception/single/789ddcf1-e013-447a-a94a-ab96a081f66a_0.png", "image_2": null, "question": "Is the image impacted by impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "626085bd-2d75-4c9a-a4b9-bb5b4664b72e", "image_1": "Perception/single/626085bd-2d75-4c9a-a4b9-bb5b4664b72e_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2a0b49f2-8a4b-412c-bab1-a9a190c21704", "image_1": "Perception/single/2a0b49f2-8a4b-412c-bab1-a9a190c21704_0.png", "image_2": null, "question": "Does missing tiles lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "f06af8df-4773-4935-a41d-bec207fced31", "image_1": "Perception/single/f06af8df-4773-4935-a41d-bec207fced31_0.png", "image_2": null, "question": "Does this image contain impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "2ac99ac5-d3ab-4bdf-a466-957308260fc4", "image_1": "Perception/single/2ac99ac5-d3ab-4bdf-a466-957308260fc4_0.png", "image_2": null, "question": "Is the image impacted by deadline noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "1678b87e-aad9-46ab-bf46-591e88c05aa7", "image_1": "Perception/single/1678b87e-aad9-46ab-bf46-591e88c05aa7_0.png", "image_2": null, "question": "Is impulse noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "84907164-797c-4a68-b067-c1e96b735fd5", "image_1": "Perception/single/84907164-797c-4a68-b067-c1e96b735fd5_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "25c6db35-7c42-4d08-8a4a-dacd38effd99", "image_1": "Perception/single/25c6db35-7c42-4d08-8a4a-dacd38effd99_0.png", "image_2": null, "question": "Does the image exhibit impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "967312c5-3409-49ad-adf9-e54c4b49953f", "image_1": "Perception/single/967312c5-3409-49ad-adf9-e54c4b49953f_0.png", "image_2": null, "question": "Is impulse noise a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "37b9fb31-cc54-428a-90a1-185c8af92480", "image_1": "Perception/single/37b9fb31-cc54-428a-90a1-185c8af92480_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "6e09fea5-3ac1-434a-a4c2-2d003f561b03", "image_1": "Perception/single/6e09fea5-3ac1-434a-a4c2-2d003f561b03_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "59f029b9-066e-40ed-9759-f2ba37c602d2", "image_1": "Perception/single/59f029b9-066e-40ed-9759-f2ba37c602d2_0.png", "image_2": null, "question": "Is impulse noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "4a95cb8d-c56c-4234-bebf-e7bad7b2fd9c", "image_1": "Perception/single/4a95cb8d-c56c-4234-bebf-e7bad7b2fd9c_0.png", "image_2": null, "question": "Can impulse noise be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "049433c6-8979-49c2-b266-c39c067d90be", "image_1": "Perception/single/049433c6-8979-49c2-b266-c39c067d90be_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "6b31d080-039d-4b91-a4b9-b9a86f0d5bdb", "image_1": "Perception/single/6b31d080-039d-4b91-a4b9-b9a86f0d5bdb_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "f6091420-8d72-480d-8552-83f744f1524d", "image_1": "Perception/single/f6091420-8d72-480d-8552-83f744f1524d_0.png", "image_2": null, "question": "Does motion blur reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "7e3f17cb-4405-4be6-862d-4750ae17510c", "image_1": "Perception/single/7e3f17cb-4405-4be6-862d-4750ae17510c_0.png", "image_2": null, "question": "Is impulse noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "e94328c3-55fa-4305-9218-6656037fb89c", "image_1": "Perception/single/e94328c3-55fa-4305-9218-6656037fb89c_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "30629be6-ee52-448b-9451-7e7b6140d6b4", "image_1": "Perception/single/30629be6-ee52-448b-9451-7e7b6140d6b4_0.png", "image_2": null, "question": "Does impulse noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "20428e1f-5275-4fcb-a511-47c2f82c8945", "image_1": "Perception/single/20428e1f-5275-4fcb-a511-47c2f82c8945_0.png", "image_2": null, "question": "Is image stretching present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "2e4efe21-a240-4a5d-8dc5-a6ed4290b07d", "image_1": "Perception/single/2e4efe21-a240-4a5d-8dc5-a6ed4290b07d_0.png", "image_2": null, "question": "Is impulse noise a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "195c3fd5-4095-4225-b5f0-45ae2e133cd4", "image_1": "Perception/single/195c3fd5-4095-4225-b5f0-45ae2e133cd4_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "c6bb670f-c7cc-40be-ba60-3ded2b0f678a", "image_1": "Perception/single/c6bb670f-c7cc-40be-ba60-3ded2b0f678a_0.png", "image_2": null, "question": "Is impulse noise a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8a465f9a-f372-41c0-b3c8-a25c5e40dcc5", "image_1": "Perception/single/8a465f9a-f372-41c0-b3c8-a25c5e40dcc5_0.png", "image_2": null, "question": "Is there gaussian noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "1b4b0918-96ed-4fa0-adb0-7c63f15a2186", "image_1": "Perception/single/1b4b0918-96ed-4fa0-adb0-7c63f15a2186_0.png", "image_2": null, "question": "Is image compression present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "4e134241-218f-4f05-a519-ae241fdf1870", "image_1": "Perception/single/4e134241-218f-4f05-a519-ae241fdf1870_0.png", "image_2": null, "question": "Does impulse noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "5916ef85-a769-4ecb-8fe7-a9f1e7ac823e", "image_1": "Perception/single/5916ef85-a769-4ecb-8fe7-a9f1e7ac823e_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "7d8ecfe4-3954-46dc-a53e-b023c5beff30", "image_1": "Perception/single/7d8ecfe4-3954-46dc-a53e-b023c5beff30_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "dc7156af-27fa-4953-8e7e-36215a59fcb1", "image_1": "Perception/single/dc7156af-27fa-4953-8e7e-36215a59fcb1_0.png", "image_2": null, "question": "Does image compression reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "2748b367-415d-4dff-b47d-ec727ee0a723", "image_1": "Perception/single/2748b367-415d-4dff-b47d-ec727ee0a723_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ff94427f-5b85-4db7-8bc6-4ba6729fb8e6", "image_1": "Perception/single/ff94427f-5b85-4db7-8bc6-4ba6729fb8e6_0.png", "image_2": null, "question": "Can deadline noise be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "909eb40a-3f33-4465-a78b-e347e706b1c3", "image_1": "Perception/single/909eb40a-3f33-4465-a78b-e347e706b1c3_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "34ef8093-8523-4114-a9ca-5253fbd9c9aa", "image_1": "Perception/single/34ef8093-8523-4114-a9ca-5253fbd9c9aa_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "dd78b1a7-c390-4fa4-ad15-0bab98ac0c56", "image_1": "Perception/single/dd78b1a7-c390-4fa4-ad15-0bab98ac0c56_0.png", "image_2": null, "question": "Does impulse noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "88626db9-c83b-40a8-bcee-5fa3a470b61e", "image_1": "Perception/single/88626db9-c83b-40a8-bcee-5fa3a470b61e_0.png", "image_2": null, "question": "Is impulse noise a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "22674f21-819d-4ae9-bf79-8b24bf37d019", "image_1": "Perception/single/22674f21-819d-4ae9-bf79-8b24bf37d019_0.png", "image_2": null, "question": "Is impulse noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "1cedc164-42ff-4ca7-8522-8eb671c5b65e", "image_1": "Perception/single/1cedc164-42ff-4ca7-8522-8eb671c5b65e_0.png", "image_2": null, "question": "Does image stretching obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "eff3940e-d308-43cc-a419-130b8843b560", "image_1": "Perception/single/eff3940e-d308-43cc-a419-130b8843b560_0.png", "image_2": null, "question": "Is impulse noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d674d71a-5088-4dae-ba70-bfdff720e3f3", "image_1": "Perception/single/d674d71a-5088-4dae-ba70-bfdff720e3f3_0.png", "image_2": null, "question": "Does impulse noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "21bde0f1-c9d1-42e3-ae25-30d462bfc053", "image_1": "Perception/single/21bde0f1-c9d1-42e3-ae25-30d462bfc053_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "4df52d09-e79e-4581-8388-77d60bd4e0fd", "image_1": "Perception/single/4df52d09-e79e-4581-8388-77d60bd4e0fd_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "6c1d9a65-e6b4-4a3f-b85d-ebf293579d6d", "image_1": "Perception/single/6c1d9a65-e6b4-4a3f-b85d-ebf293579d6d_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "5c0476c5-5510-4613-a552-ad4c330748fe", "image_1": "Perception/single/5c0476c5-5510-4613-a552-ad4c330748fe_0.png", "image_2": null, "question": "Is there impulse noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "22091b32-56cf-4b66-aa5c-105d9a055243", "image_1": "Perception/single/22091b32-56cf-4b66-aa5c-105d9a055243_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "a442dd22-63e6-4cde-82a5-10566fe08cc2", "image_1": "Perception/single/a442dd22-63e6-4cde-82a5-10566fe08cc2_0.png", "image_2": null, "question": "Is there impulse noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d446d84d-bad7-4691-86c7-3fe7043f2b7c", "image_1": "Perception/single/d446d84d-bad7-4691-86c7-3fe7043f2b7c_0.png", "image_2": null, "question": "Is impulse noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "0b5d831f-51ab-487d-90e9-d31ef12f9188", "image_1": "Perception/single/0b5d831f-51ab-487d-90e9-d31ef12f9188_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "cbb77ea8-d23c-40f1-b0fb-28301a712ef2", "image_1": "Perception/single/cbb77ea8-d23c-40f1-b0fb-28301a712ef2_0.png", "image_2": null, "question": "Is gaussian noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "eaedfafb-a0b8-48af-823a-0e5e5ef99888", "image_1": "Perception/single/eaedfafb-a0b8-48af-823a-0e5e5ef99888_0.png", "image_2": null, "question": "Is missing tiles the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "7030c9bc-f8e7-4ecf-98f2-3e463b79c0e3", "image_1": "Perception/single/7030c9bc-f8e7-4ecf-98f2-3e463b79c0e3_0.png", "image_2": null, "question": "Is stripe noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "4aafc801-d324-47f3-97e3-2905b5fd1b6b", "image_1": "Perception/single/4aafc801-d324-47f3-97e3-2905b5fd1b6b_0.png", "image_2": null, "question": "Does impulse noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "c832127c-326e-442c-8f2e-72e68c0df099", "image_1": "Perception/single/c832127c-326e-442c-8f2e-72e68c0df099_0.png", "image_2": null, "question": "Does dead pixel reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "8fe1d4d0-0483-49c0-b637-86786b756334", "image_1": "Perception/single/8fe1d4d0-0483-49c0-b637-86786b756334_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "31aa39d6-6c9c-4a9f-8cba-9bcfcfea109a", "image_1": "Perception/single/31aa39d6-6c9c-4a9f-8cba-9bcfcfea109a_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "8b02cd49-4e49-471b-b08f-1aeea21bd319", "image_1": "Perception/single/8b02cd49-4e49-471b-b08f-1aeea21bd319_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "333fd0ca-b9cd-453a-914f-873ac83d9a57", "image_1": "Perception/single/333fd0ca-b9cd-453a-914f-873ac83d9a57_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "3e4d914c-a7ad-4f05-94d1-812b22226284", "image_1": "Perception/single/3e4d914c-a7ad-4f05-94d1-812b22226284_0.png", "image_2": null, "question": "Is the image impacted by missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "675622d3-07ee-4c68-b38d-7c223bd33ef6", "image_1": "Perception/single/675622d3-07ee-4c68-b38d-7c223bd33ef6_0.png", "image_2": null, "question": "Does impulse noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "e31e5b3a-39bb-4290-b922-1864a4c846e6", "image_1": "Perception/single/e31e5b3a-39bb-4290-b922-1864a4c846e6_0.png", "image_2": null, "question": "Can cloud be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "14537557-a3d6-47c2-9c1b-95d8c93b73e6", "image_1": "Perception/single/14537557-a3d6-47c2-9c1b-95d8c93b73e6_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "d8314e7c-d133-49eb-b491-a3807ba8586b", "image_1": "Perception/single/d8314e7c-d133-49eb-b491-a3807ba8586b_0.png", "image_2": null, "question": "Does impulse noise compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "b17c7f15-6adf-452a-9930-b30bb8f29bd7", "image_1": "Perception/single/b17c7f15-6adf-452a-9930-b30bb8f29bd7_0.png", "image_2": null, "question": "Is impulse noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "c7b44fd2-aca7-4b2c-94f1-683d8f97ebeb", "image_1": "Perception/single/c7b44fd2-aca7-4b2c-94f1-683d8f97ebeb_0.png", "image_2": null, "question": "Is there gaussian noise present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "90a6304c-a176-4214-aba9-d97ede1f9504", "image_1": "Perception/single/90a6304c-a176-4214-aba9-d97ede1f9504_0.png", "image_2": null, "question": "Does the image exhibit spatially correlated noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "f832155d-538e-4ba5-a431-82462f16d008", "image_1": "Perception/single/f832155d-538e-4ba5-a431-82462f16d008_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a0fe9681-7fe6-414a-96d6-84fd7a7021e7", "image_1": "Perception/single/a0fe9681-7fe6-414a-96d6-84fd7a7021e7_0.png", "image_2": null, "question": "Is the image impacted by impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "8ff30525-f28c-4c34-ad4b-67a30b05cbf5", "image_1": "Perception/single/8ff30525-f28c-4c34-ad4b-67a30b05cbf5_0.png", "image_2": null, "question": "Is impulse noise a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "62564b52-a70d-4a50-a59c-2c241baefbbb", "image_1": "Perception/single/62564b52-a70d-4a50-a59c-2c241baefbbb_0.png", "image_2": null, "question": "Does impulse noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "9f104322-3d11-4b8f-b511-b5f3396ac3a8", "image_1": "Perception/single/9f104322-3d11-4b8f-b511-b5f3396ac3a8_0.png", "image_2": null, "question": "Does impulse noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "4014bcda-cf70-494c-8c4e-7edb9c064bff", "image_1": "Perception/single/4014bcda-cf70-494c-8c4e-7edb9c064bff_0.png", "image_2": null, "question": "Is cloud a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f9b8e031-7179-4bff-9f69-557bf928ec13", "image_1": "Perception/single/f9b8e031-7179-4bff-9f69-557bf928ec13_0.png", "image_2": null, "question": "Does color distortion compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "78eafe6a-3c44-4c6a-9828-b67ae7fa1302", "image_1": "Perception/single/78eafe6a-3c44-4c6a-9828-b67ae7fa1302_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "e599cae0-e7c3-4a30-a8b6-fe1ae6a42975", "image_1": "Perception/single/e599cae0-e7c3-4a30-a8b6-fe1ae6a42975_0.png", "image_2": null, "question": "Is impulse noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8578500c-3a1d-4d11-970b-46a6b25adab1", "image_1": "Perception/single/8578500c-3a1d-4d11-970b-46a6b25adab1_0.png", "image_2": null, "question": "Does this image contain impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "10bbce17-9641-4119-b9e9-2143a046ec84", "image_1": "Perception/single/10bbce17-9641-4119-b9e9-2143a046ec84_0.png", "image_2": null, "question": "Is impulse noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "5219671e-8fb6-4736-b413-a789b024acf4", "image_1": "Perception/single/5219671e-8fb6-4736-b413-a789b024acf4_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "ba8cdab8-69c5-4583-806f-8e1c8b975cb0", "image_1": "Perception/single/ba8cdab8-69c5-4583-806f-8e1c8b975cb0_0.png", "image_2": null, "question": "Is dead pixel the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "1cd4e257-c2c2-422a-8db6-a4219d99fb12", "image_1": "Perception/single/1cd4e257-c2c2-422a-8db6-a4219d99fb12_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "7104ec9e-509f-4122-af77-db1c47dffdaf", "image_1": "Perception/single/7104ec9e-509f-4122-af77-db1c47dffdaf_0.png", "image_2": null, "question": "Is the image impacted by impulse noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "19d34a99-6af3-48de-b05b-9d3cc998a676", "image_1": "Perception/single/19d34a99-6af3-48de-b05b-9d3cc998a676_0.png", "image_2": null, "question": "Is impulse noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "3176925a-982d-4215-960d-8cfa238fb9ea", "image_1": "Perception/single/3176925a-982d-4215-960d-8cfa238fb9ea_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "bd1e8447-4f16-48ea-9aa3-5655413d54bc", "image_1": "Perception/single/bd1e8447-4f16-48ea-9aa3-5655413d54bc_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "a0e4e5fe-4418-429e-9573-f1397941125f", "image_1": "Perception/single/a0e4e5fe-4418-429e-9573-f1397941125f_0.png", "image_2": null, "question": "Is image stretching visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c17e6647-1beb-4298-b8eb-c1f3eb39bff1", "image_1": "Perception/single/c17e6647-1beb-4298-b8eb-c1f3eb39bff1_0.png", "image_2": null, "question": "Is image stretching the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "56f42d24-a423-4fe0-bfcd-a53cb4d99e3f", "image_1": "Perception/single/56f42d24-a423-4fe0-bfcd-a53cb4d99e3f_0.png", "image_2": null, "question": "Is spatially correlated noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "5b66bc59-c6d3-4b74-92c7-ea0df1ae9de0", "image_1": "Perception/single/5b66bc59-c6d3-4b74-92c7-ea0df1ae9de0_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "eb78911d-1340-404f-9ea1-57ea19f02e35", "image_1": "Perception/single/eb78911d-1340-404f-9ea1-57ea19f02e35_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "1a5ccaa8-2f5b-49db-8dff-95ce3df7fe82", "image_1": "Perception/single/1a5ccaa8-2f5b-49db-8dff-95ce3df7fe82_0.png", "image_2": null, "question": "Is impulse noise the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "d0eaf03f-df7d-4d26-95a6-19cc15dc8b6d", "image_1": "Perception/single/d0eaf03f-df7d-4d26-95a6-19cc15dc8b6d_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "30370d4b-0a88-40f4-b4c7-1f04a5deecc2", "image_1": "Perception/single/30370d4b-0a88-40f4-b4c7-1f04a5deecc2_0.png", "image_2": null, "question": "Is the image impacted by missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "77b4b6d9-11cd-43f3-901b-9922e09dc50e", "image_1": "Perception/single/77b4b6d9-11cd-43f3-901b-9922e09dc50e_0.png", "image_2": null, "question": "Is there spatially correlated noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "199194db-1b83-40b3-bda2-7e6ac89c6324", "image_1": "Perception/single/199194db-1b83-40b3-bda2-7e6ac89c6324_0.png", "image_2": null, "question": "Does gaussian blur affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "8835a956-874c-4648-ab7a-e1b9a68091a6", "image_1": "Perception/single/8835a956-874c-4648-ab7a-e1b9a68091a6_0.png", "image_2": null, "question": "Is spatially correlated noise a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6e986e36-0f5e-40f5-9732-6d61cb466069", "image_1": "Perception/single/6e986e36-0f5e-40f5-9732-6d61cb466069_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "b9c6979c-c599-4802-83aa-df5203995bad", "image_1": "Perception/single/b9c6979c-c599-4802-83aa-df5203995bad_0.png", "image_2": null, "question": "Does this image contain dead pixel?\nA.Yes\nB.No", "answer": "B"}
{"id": "6a7973cd-26c0-4dd8-8e7c-f130d0eb1dc0", "image_1": "Perception/single/6a7973cd-26c0-4dd8-8e7c-f130d0eb1dc0_0.png", "image_2": null, "question": "Is image stretching a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "cee0e0d6-0303-4c8e-a55d-791a18e555c1", "image_1": "Perception/single/cee0e0d6-0303-4c8e-a55d-791a18e555c1_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "40d8da9a-15b0-4e3e-afea-28253a2a3867", "image_1": "Perception/single/40d8da9a-15b0-4e3e-afea-28253a2a3867_0.png", "image_2": null, "question": "Is the image impacted by spatially correlated noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "2881cf07-8b3c-478f-850d-6be3d1de7c66", "image_1": "Perception/single/2881cf07-8b3c-478f-850d-6be3d1de7c66_0.png", "image_2": null, "question": "Does spatially correlated noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "21b96e99-b26f-4b9b-9e1c-c249bca5a189", "image_1": "Perception/single/21b96e99-b26f-4b9b-9e1c-c249bca5a189_0.png", "image_2": null, "question": "Does color distortion result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "627d171f-f28f-42c5-b5aa-97df0e949eeb", "image_1": "Perception/single/627d171f-f28f-42c5-b5aa-97df0e949eeb_0.png", "image_2": null, "question": "Does this image contain image compression?\nA.Yes\nB.No", "answer": "B"}
{"id": "0c581343-0d41-4ba0-9917-b2a9c1d7290d", "image_1": "Perception/single/0c581343-0d41-4ba0-9917-b2a9c1d7290d_0.png", "image_2": null, "question": "Is spatially correlated noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "bd2bb63f-de46-4f89-bfc1-860d099edfd2", "image_1": "Perception/single/bd2bb63f-de46-4f89-bfc1-860d099edfd2_0.png", "image_2": null, "question": "Is the image impacted by spatially correlated noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "c7ac69e7-54c0-4466-b8d0-2440428353fa", "image_1": "Perception/single/c7ac69e7-54c0-4466-b8d0-2440428353fa_0.png", "image_2": null, "question": "Is spatially correlated noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "2682a8e8-a211-4d1e-af7b-97e632de88b3", "image_1": "Perception/single/2682a8e8-a211-4d1e-af7b-97e632de88b3_0.png", "image_2": null, "question": "Does spatially correlated noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "ed6c2fd8-6e21-4e98-91fb-dbb1c789bf5f", "image_1": "Perception/single/ed6c2fd8-6e21-4e98-91fb-dbb1c789bf5f_0.png", "image_2": null, "question": "Does the image exhibit spatially correlated noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "6b66c8d1-85f1-45c3-a8d3-be15232acb7a", "image_1": "Perception/single/6b66c8d1-85f1-45c3-a8d3-be15232acb7a_0.png", "image_2": null, "question": "Is stripe noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "ce365c82-240d-42c9-9a2b-57b1639437c3", "image_1": "Perception/single/ce365c82-240d-42c9-9a2b-57b1639437c3_0.png", "image_2": null, "question": "Does spatially correlated noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "1c566af4-0015-4314-a7ff-966ec80eaada", "image_1": "Perception/single/1c566af4-0015-4314-a7ff-966ec80eaada_0.png", "image_2": null, "question": "Is cloud the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "dd6e9dd4-908a-40c5-914f-f0baa3e6ac7c", "image_1": "Perception/single/dd6e9dd4-908a-40c5-914f-f0baa3e6ac7c_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d4d4ec9c-5a70-47cd-a3da-ca255d6774fb", "image_1": "Perception/single/d4d4ec9c-5a70-47cd-a3da-ca255d6774fb_0.png", "image_2": null, "question": "Is spatially correlated noise a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "fa902918-a744-4d59-adb8-409af6c936a3", "image_1": "Perception/single/fa902918-a744-4d59-adb8-409af6c936a3_0.png", "image_2": null, "question": "Does spatially correlated noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "ab979403-6b54-4e54-991f-0464f31be6f5", "image_1": "Perception/single/ab979403-6b54-4e54-991f-0464f31be6f5_0.png", "image_2": null, "question": "Is there spatially correlated noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "e7336dc4-84ca-4f31-8419-b1bbae9f14e2", "image_1": "Perception/single/e7336dc4-84ca-4f31-8419-b1bbae9f14e2_0.png", "image_2": null, "question": "Does spatially correlated noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "5f90b3de-1b87-4a30-9d7a-a0fb1fa0eafb", "image_1": "Perception/single/5f90b3de-1b87-4a30-9d7a-a0fb1fa0eafb_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "56d29456-a654-4633-905d-8fb3f40757ba", "image_1": "Perception/single/56d29456-a654-4633-905d-8fb3f40757ba_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "2a2e579b-0a8b-4ef1-83e8-b88c29232a30", "image_1": "Perception/single/2a2e579b-0a8b-4ef1-83e8-b88c29232a30_0.png", "image_2": null, "question": "Does spatially correlated noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "bb7eaf0e-c865-4913-a322-e6aac6e8e058", "image_1": "Perception/single/bb7eaf0e-c865-4913-a322-e6aac6e8e058_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "15a73eb8-5d18-40f2-b7ac-468b78fa3e7d", "image_1": "Perception/single/15a73eb8-5d18-40f2-b7ac-468b78fa3e7d_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "452b5f65-2141-490c-ad74-d96aab232a1a", "image_1": "Perception/single/452b5f65-2141-490c-ad74-d96aab232a1a_0.png", "image_2": null, "question": "Is spatially correlated noise a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "a582544a-0fb7-4527-9479-b773afd47939", "image_1": "Perception/single/a582544a-0fb7-4527-9479-b773afd47939_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "81839f76-426e-4231-a35b-3119e04742d1", "image_1": "Perception/single/81839f76-426e-4231-a35b-3119e04742d1_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "dda4a470-871d-4a91-9916-fbe5bc67bdf5", "image_1": "Perception/single/dda4a470-871d-4a91-9916-fbe5bc67bdf5_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "d033f96a-0d03-478d-b55a-a5a054a8317c", "image_1": "Perception/single/d033f96a-0d03-478d-b55a-a5a054a8317c_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "8c5a5527-4335-4686-b65a-0f1b9dd7f046", "image_1": "Perception/single/8c5a5527-4335-4686-b65a-0f1b9dd7f046_0.png", "image_2": null, "question": "Does spatially correlated noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "cdee1a78-c7b2-4ee2-a64c-f32dfe28222f", "image_1": "Perception/single/cdee1a78-c7b2-4ee2-a64c-f32dfe28222f_0.png", "image_2": null, "question": "Is image compression the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "4286645e-1a87-4e0a-be7e-811ee2ca5b59", "image_1": "Perception/single/4286645e-1a87-4e0a-be7e-811ee2ca5b59_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "abd1a07f-28e8-42cb-9d3e-908c0d44b536", "image_1": "Perception/single/abd1a07f-28e8-42cb-9d3e-908c0d44b536_0.png", "image_2": null, "question": "Does spatially correlated noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6e89c757-2d61-4a29-b97d-c5b0e75bb284", "image_1": "Perception/single/6e89c757-2d61-4a29-b97d-c5b0e75bb284_0.png", "image_2": null, "question": "Can dead pixel be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "4cfb3b3c-e14d-4699-897b-3a436f3e7ebd", "image_1": "Perception/single/4cfb3b3c-e14d-4699-897b-3a436f3e7ebd_0.png", "image_2": null, "question": "Is spatially correlated noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "7306e054-b878-4055-a465-9b4f139f75bf", "image_1": "Perception/single/7306e054-b878-4055-a465-9b4f139f75bf_0.png", "image_2": null, "question": "Can spatially correlated noise be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ba66a958-bd24-41d0-8604-eba877311f11", "image_1": "Perception/single/ba66a958-bd24-41d0-8604-eba877311f11_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e93b0a9c-6223-4afa-a5ac-71dc345b153f", "image_1": "Perception/single/e93b0a9c-6223-4afa-a5ac-71dc345b153f_0.png", "image_2": null, "question": "Does image compression affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "d1cc1040-1575-4274-b633-1f702b4562cd", "image_1": "Perception/single/d1cc1040-1575-4274-b633-1f702b4562cd_0.png", "image_2": null, "question": "Is spatially correlated noise a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "65ff40d7-ab58-4860-9e61-3c2d534c17c0", "image_1": "Perception/single/65ff40d7-ab58-4860-9e61-3c2d534c17c0_0.png", "image_2": null, "question": "Is spatially correlated noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "5713bcff-4f66-46c1-9648-698821ebcbda", "image_1": "Perception/single/5713bcff-4f66-46c1-9648-698821ebcbda_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "aa99fb33-158a-409e-b9b0-92bdd7108505", "image_1": "Perception/single/aa99fb33-158a-409e-b9b0-92bdd7108505_0.png", "image_2": null, "question": "Is image compression visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "bb0b8549-b11e-45a8-993e-03bf6935ff7d", "image_1": "Perception/single/bb0b8549-b11e-45a8-993e-03bf6935ff7d_0.png", "image_2": null, "question": "Does spatially correlated noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "881c77bb-0434-412f-8bc9-ca333a25a6ba", "image_1": "Perception/single/881c77bb-0434-412f-8bc9-ca333a25a6ba_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "5919dc66-3e12-4878-8320-a6d83973eeeb", "image_1": "Perception/single/5919dc66-3e12-4878-8320-a6d83973eeeb_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "01d38f6f-01fd-49e5-b747-22066bb450a5", "image_1": "Perception/single/01d38f6f-01fd-49e5-b747-22066bb450a5_0.png", "image_2": null, "question": "Does spatially correlated noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "e819202e-7320-45eb-b883-0275acb6b23d", "image_1": "Perception/single/e819202e-7320-45eb-b883-0275acb6b23d_0.png", "image_2": null, "question": "Is spatially correlated noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "90bcf01a-9a5b-44b8-a8d5-3baaf54853b7", "image_1": "Perception/single/90bcf01a-9a5b-44b8-a8d5-3baaf54853b7_0.png", "image_2": null, "question": "Does motion blur obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "f554b578-4252-4782-a2ad-4b01a5cd1730", "image_1": "Perception/single/f554b578-4252-4782-a2ad-4b01a5cd1730_0.png", "image_2": null, "question": "Is motion blur the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "68a9b6dc-0e5b-4c7c-929f-0ecbfb982217", "image_1": "Perception/single/68a9b6dc-0e5b-4c7c-929f-0ecbfb982217_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "a5d85363-f9b8-4688-b6a2-b5005593e4b6", "image_1": "Perception/single/a5d85363-f9b8-4688-b6a2-b5005593e4b6_0.png", "image_2": null, "question": "Is gaussian noise a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "a96e3be9-604f-48e6-b1ef-e0af57cee2af", "image_1": "Perception/single/a96e3be9-604f-48e6-b1ef-e0af57cee2af_0.png", "image_2": null, "question": "Does spatially correlated noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "9401f5d4-ab08-4daa-b624-9db14916bcda", "image_1": "Perception/single/9401f5d4-ab08-4daa-b624-9db14916bcda_0.png", "image_2": null, "question": "Is image compression a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "22761e43-17cb-4ed7-bd81-b204192496cc", "image_1": "Perception/single/22761e43-17cb-4ed7-bd81-b204192496cc_0.png", "image_2": null, "question": "Is dead pixel apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "9c2d79ac-8185-4f10-835c-526b7f13a6dd", "image_1": "Perception/single/9c2d79ac-8185-4f10-835c-526b7f13a6dd_0.png", "image_2": null, "question": "Does cloud reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "62434fb4-dc18-4e59-b9b5-699bed467938", "image_1": "Perception/single/62434fb4-dc18-4e59-b9b5-699bed467938_0.png", "image_2": null, "question": "Does impulse noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "14dd26d1-da63-4781-ba75-2413dffe314c", "image_1": "Perception/single/14dd26d1-da63-4781-ba75-2413dffe314c_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "7e843e2f-a5d0-462c-8898-958194fc65b3", "image_1": "Perception/single/7e843e2f-a5d0-462c-8898-958194fc65b3_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ccc57847-ce01-45c0-a657-3ea10b7c118e", "image_1": "Perception/single/ccc57847-ce01-45c0-a657-3ea10b7c118e_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8057c2a6-a925-4376-afc3-ee15a59ccd6d", "image_1": "Perception/single/8057c2a6-a925-4376-afc3-ee15a59ccd6d_0.png", "image_2": null, "question": "Does spatially correlated noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "4127eabd-2631-4f77-9d57-929bfcb19960", "image_1": "Perception/single/4127eabd-2631-4f77-9d57-929bfcb19960_0.png", "image_2": null, "question": "Does spatially correlated noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "972798e1-105c-4d24-964d-b95bd7c97a5d", "image_1": "Perception/single/972798e1-105c-4d24-964d-b95bd7c97a5d_0.png", "image_2": null, "question": "Is the image impacted by spatially correlated noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "a7e06f2c-c95a-48df-ac06-0ae9961b6a03", "image_1": "Perception/single/a7e06f2c-c95a-48df-ac06-0ae9961b6a03_0.png", "image_2": null, "question": "Does spatially correlated noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "f5e14a81-3bc7-49fa-b950-289ebeee4584", "image_1": "Perception/single/f5e14a81-3bc7-49fa-b950-289ebeee4584_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "88c40abf-0bb0-420f-b1a3-1cd63c326505", "image_1": "Perception/single/88c40abf-0bb0-420f-b1a3-1cd63c326505_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "0ff49145-cf12-428b-b19e-3f1f78248927", "image_1": "Perception/single/0ff49145-cf12-428b-b19e-3f1f78248927_0.png", "image_2": null, "question": "Does impulse noise compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "7652ab5a-11f5-409c-91e5-43b6f3fd5568", "image_1": "Perception/single/7652ab5a-11f5-409c-91e5-43b6f3fd5568_0.png", "image_2": null, "question": "Does color distortion affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "98663cb3-fb64-41dc-ad81-ac27b7028cc7", "image_1": "Perception/single/98663cb3-fb64-41dc-ad81-ac27b7028cc7_0.png", "image_2": null, "question": "Is motion blur the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "51db68b4-27c5-4e5f-b203-dbb2d3b39b00", "image_1": "Perception/single/51db68b4-27c5-4e5f-b203-dbb2d3b39b00_0.png", "image_2": null, "question": "Is impulse noise visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "9ada1b28-ffce-42a1-82ab-351d85fabf37", "image_1": "Perception/single/9ada1b28-ffce-42a1-82ab-351d85fabf37_0.png", "image_2": null, "question": "Is haze a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "fbd5db1c-28bb-4125-8328-e15c980fe716", "image_1": "Perception/single/fbd5db1c-28bb-4125-8328-e15c980fe716_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "c27a2492-f4ea-46e3-bbe1-af54d8500ad5", "image_1": "Perception/single/c27a2492-f4ea-46e3-bbe1-af54d8500ad5_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "f2ed96de-52bf-4b38-8812-86721bbf8fee", "image_1": "Perception/single/f2ed96de-52bf-4b38-8812-86721bbf8fee_0.png", "image_2": null, "question": "Is spatially correlated noise a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "5656b6d5-6fe1-4791-9582-7fbe4e35b240", "image_1": "Perception/single/5656b6d5-6fe1-4791-9582-7fbe4e35b240_0.png", "image_2": null, "question": "Does color distortion compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "6a4bc230-64d3-418b-815a-9d5e57623d81", "image_1": "Perception/single/6a4bc230-64d3-418b-815a-9d5e57623d81_0.png", "image_2": null, "question": "Does spatially correlated noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "88d98bad-b281-49b7-84cd-48b68cc86c59", "image_1": "Perception/single/88d98bad-b281-49b7-84cd-48b68cc86c59_0.png", "image_2": null, "question": "Does this image contain image stretching?\nA.Yes\nB.No", "answer": "B"}
{"id": "095fb459-3bc1-4c23-9650-bd319eb40151", "image_1": "Perception/single/095fb459-3bc1-4c23-9650-bd319eb40151_0.png", "image_2": null, "question": "Is spatially correlated noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "e936c241-ae2e-4528-be89-cef29ce91078", "image_1": "Perception/single/e936c241-ae2e-4528-be89-cef29ce91078_0.png", "image_2": null, "question": "Is spatially correlated noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "4ab65736-9000-412f-a05e-19267eacdad4", "image_1": "Perception/single/4ab65736-9000-412f-a05e-19267eacdad4_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "023ff588-bae3-4767-9ee6-24c99b260493", "image_1": "Perception/single/023ff588-bae3-4767-9ee6-24c99b260493_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "f51d3e44-82c0-49e4-9fb3-f4815ee75214", "image_1": "Perception/single/f51d3e44-82c0-49e4-9fb3-f4815ee75214_0.png", "image_2": null, "question": "Is haze visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "3813f384-e9c4-44ca-81ce-23e7e8a5a277", "image_1": "Perception/single/3813f384-e9c4-44ca-81ce-23e7e8a5a277_0.png", "image_2": null, "question": "Does this image contain color distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "5d3c7d1b-bdcd-40d7-8ca6-c5a9ab3e1c5b", "image_1": "Perception/single/5d3c7d1b-bdcd-40d7-8ca6-c5a9ab3e1c5b_0.png", "image_2": null, "question": "Does spatially correlated noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "5e3cc8c3-f459-46cb-8c3a-c81bed047291", "image_1": "Perception/single/5e3cc8c3-f459-46cb-8c3a-c81bed047291_0.png", "image_2": null, "question": "Does spatially correlated noise compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "9683bef2-22f3-499a-aa9e-161395d798a0", "image_1": "Perception/single/9683bef2-22f3-499a-aa9e-161395d798a0_0.png", "image_2": null, "question": "Does deadline noise compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "010b1cbe-61ff-466a-876e-df68498ed885", "image_1": "Perception/single/010b1cbe-61ff-466a-876e-df68498ed885_0.png", "image_2": null, "question": "Is spatially correlated noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "1eaf4614-94d1-441b-a447-2009444b5d1f", "image_1": "Perception/single/1eaf4614-94d1-441b-a447-2009444b5d1f_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "A"}
{"id": "8a333eca-c58e-4d83-88df-b99d56984d1d", "image_1": "Perception/single/8a333eca-c58e-4d83-88df-b99d56984d1d_0.png", "image_2": null, "question": "Does spatially correlated noise compromise the data integrity?\nA.Yes\nB.No", "answer": "A"}
{"id": "179619fc-0e51-414c-a9ed-7f72247b06b3", "image_1": "Perception/single/179619fc-0e51-414c-a9ed-7f72247b06b3_0.png", "image_2": null, "question": "Is dead pixel a critical issue in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "20054048-86bb-4cb3-8dca-4adc49239715", "image_1": "Perception/single/20054048-86bb-4cb3-8dca-4adc49239715_0.png", "image_2": null, "question": "Is dead pixel the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "c9d7ffe1-b27a-4880-8e81-dbb115d2fa7f", "image_1": "Perception/single/c9d7ffe1-b27a-4880-8e81-dbb115d2fa7f_0.png", "image_2": null, "question": "Does gaussian blur lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "9b28795b-5727-446d-9352-d03e417e9545", "image_1": "Perception/single/9b28795b-5727-446d-9352-d03e417e9545_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "a575077b-5514-460a-bb1a-63b087adecc9", "image_1": "Perception/single/a575077b-5514-460a-bb1a-63b087adecc9_0.png", "image_2": null, "question": "Does the image exhibit stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "adac8f26-f120-4847-bb42-e3e15847823d", "image_1": "Perception/single/adac8f26-f120-4847-bb42-e3e15847823d_0.png", "image_2": null, "question": "Is stripe noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "8988874f-fb95-481b-a97b-a653bd236998", "image_1": "Perception/single/8988874f-fb95-481b-a97b-a653bd236998_0.png", "image_2": null, "question": "Does image stretching affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "21680c7e-f0bd-49e7-9cd7-e67d5930bdc4", "image_1": "Perception/single/21680c7e-f0bd-49e7-9cd7-e67d5930bdc4_0.png", "image_2": null, "question": "Is the image impacted by missing tiles?\nA.Yes\nB.No", "answer": "B"}
{"id": "cd6570bc-f297-4879-9132-6c567ed1a29d", "image_1": "Perception/single/cd6570bc-f297-4879-9132-6c567ed1a29d_0.png", "image_2": null, "question": "Is there stripe noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "ac43ae68-9e8e-49e1-9c17-80bbcb781b69", "image_1": "Perception/single/ac43ae68-9e8e-49e1-9c17-80bbcb781b69_0.png", "image_2": null, "question": "Does gaussian blur affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "b8a9a3b7-de4b-4fdf-8498-839d42c1e91b", "image_1": "Perception/single/b8a9a3b7-de4b-4fdf-8498-839d42c1e91b_0.png", "image_2": null, "question": "Is stripe noise a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "1080755d-4d91-4de7-9995-96ade7fb5730", "image_1": "Perception/single/1080755d-4d91-4de7-9995-96ade7fb5730_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "1e3fd82a-60aa-43db-b194-ccb75c0c8caa", "image_1": "Perception/single/1e3fd82a-60aa-43db-b194-ccb75c0c8caa_0.png", "image_2": null, "question": "Is stripe noise a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "e198cbed-82c9-4e38-949a-6179a492db72", "image_1": "Perception/single/e198cbed-82c9-4e38-949a-6179a492db72_0.png", "image_2": null, "question": "Is gaussian blur responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "9b3fdfa6-70f4-41b6-b2e3-55761d07a4b5", "image_1": "Perception/single/9b3fdfa6-70f4-41b6-b2e3-55761d07a4b5_0.png", "image_2": null, "question": "Is stripe noise a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "86f08628-bec0-442f-bf6f-3af42bd02327", "image_1": "Perception/single/86f08628-bec0-442f-bf6f-3af42bd02327_0.png", "image_2": null, "question": "Is stripe noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "670bd23f-6702-49e1-9aff-be193830f5fc", "image_1": "Perception/single/670bd23f-6702-49e1-9aff-be193830f5fc_0.png", "image_2": null, "question": "Is the image impacted by stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "993ee946-1a8d-445e-af48-fe45504a44e8", "image_1": "Perception/single/993ee946-1a8d-445e-af48-fe45504a44e8_0.png", "image_2": null, "question": "Does stripe noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "437bb748-d76b-4ffe-8645-da4206e4a592", "image_1": "Perception/single/437bb748-d76b-4ffe-8645-da4206e4a592_0.png", "image_2": null, "question": "Does stripe noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "0be0b66f-887a-43b2-b5e5-c3ba1a4fa798", "image_1": "Perception/single/0be0b66f-887a-43b2-b5e5-c3ba1a4fa798_0.png", "image_2": null, "question": "Does missing tiles lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "254b8560-6ee1-483f-906a-47c6200b033f", "image_1": "Perception/single/254b8560-6ee1-483f-906a-47c6200b033f_0.png", "image_2": null, "question": "Is gaussian blur visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ea4e1df2-c671-402d-b3bb-a38d85eb12c8", "image_1": "Perception/single/ea4e1df2-c671-402d-b3bb-a38d85eb12c8_0.png", "image_2": null, "question": "Is the image impacted by stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "1b4f1b22-1572-45cb-9660-e99e85202f13", "image_1": "Perception/single/1b4f1b22-1572-45cb-9660-e99e85202f13_0.png", "image_2": null, "question": "Does image compression lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "17d44de8-5461-4bf8-947f-3e8ed12fabfa", "image_1": "Perception/single/17d44de8-5461-4bf8-947f-3e8ed12fabfa_0.png", "image_2": null, "question": "Does the image exhibit stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "68eae7d1-3bfc-4750-af13-22a57964b307", "image_1": "Perception/single/68eae7d1-3bfc-4750-af13-22a57964b307_0.png", "image_2": null, "question": "Is stripe noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "7854f7a1-6d91-484c-93d4-7ae29d295d4f", "image_1": "Perception/single/7854f7a1-6d91-484c-93d4-7ae29d295d4f_0.png", "image_2": null, "question": "Does spatially correlated noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "ca58d9f8-7266-49be-92f2-eb077f1ef466", "image_1": "Perception/single/ca58d9f8-7266-49be-92f2-eb077f1ef466_0.png", "image_2": null, "question": "Is cloud the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "7fa51d53-36d5-4322-9574-37a29e53243d", "image_1": "Perception/single/7fa51d53-36d5-4322-9574-37a29e53243d_0.png", "image_2": null, "question": "Can stripe noise be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "8bff29a6-5c91-4224-9b1d-7bc78d795b6f", "image_1": "Perception/single/8bff29a6-5c91-4224-9b1d-7bc78d795b6f_0.png", "image_2": null, "question": "Can stripe noise be observed in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "930faeda-10cb-4428-8684-158656aa9a02", "image_1": "Perception/single/930faeda-10cb-4428-8684-158656aa9a02_0.png", "image_2": null, "question": "Is stripe noise a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "577db0eb-00f8-4371-9f09-e4d4425f9dfc", "image_1": "Perception/single/577db0eb-00f8-4371-9f09-e4d4425f9dfc_0.png", "image_2": null, "question": "Is there image compression present in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e7ce237f-650d-4a96-9d7e-0b902191b923", "image_1": "Perception/single/e7ce237f-650d-4a96-9d7e-0b902191b923_0.png", "image_2": null, "question": "Does stripe noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "98c70c01-e3c9-44de-85ae-33e6522fabc4", "image_1": "Perception/single/98c70c01-e3c9-44de-85ae-33e6522fabc4_0.png", "image_2": null, "question": "Is stripe noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "548b7a18-7f3d-43c6-8e1d-d5907ad25134", "image_1": "Perception/single/548b7a18-7f3d-43c6-8e1d-d5907ad25134_0.png", "image_2": null, "question": "Does spatially correlated noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "d0efa7cf-b062-44b4-ac8f-180fbe3441a4", "image_1": "Perception/single/d0efa7cf-b062-44b4-ac8f-180fbe3441a4_0.png", "image_2": null, "question": "Is gaussian noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "28070dc1-5eb1-4787-8a0a-57469ae50731", "image_1": "Perception/single/28070dc1-5eb1-4787-8a0a-57469ae50731_0.png", "image_2": null, "question": "Is image compression a dominant distortion in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "41f9c124-9406-4fa5-a1cc-ab00a17bb22f", "image_1": "Perception/single/41f9c124-9406-4fa5-a1cc-ab00a17bb22f_0.png", "image_2": null, "question": "Does image compression result in missing information?\nA.Yes\nB.No", "answer": "B"}
{"id": "26f67dd8-34c4-4856-b5b0-64900a5305dd", "image_1": "Perception/single/26f67dd8-34c4-4856-b5b0-64900a5305dd_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "B"}
{"id": "e07d2d66-df6a-4dd2-ba57-30b99101a5a0", "image_1": "Perception/single/e07d2d66-df6a-4dd2-ba57-30b99101a5a0_0.png", "image_2": null, "question": "Is there stripe noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "fcd920eb-4997-45a5-8489-fd3deed48343", "image_1": "Perception/single/fcd920eb-4997-45a5-8489-fd3deed48343_0.png", "image_2": null, "question": "Is image compression present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "83be5680-6084-41a7-a684-ca352c831c83", "image_1": "Perception/single/83be5680-6084-41a7-a684-ca352c831c83_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "f7a1eba1-4200-4e54-a558-88e264475585", "image_1": "Perception/single/f7a1eba1-4200-4e54-a558-88e264475585_0.png", "image_2": null, "question": "Does stripe noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "6272a300-2a74-4062-aa5c-025d93cd1faa", "image_1": "Perception/single/6272a300-2a74-4062-aa5c-025d93cd1faa_0.png", "image_2": null, "question": "Is stripe noise the primary source of degradation?\nA.Yes\nB.No", "answer": "A"}
{"id": "d0ed4640-b401-4384-a71f-c07142a99195", "image_1": "Perception/single/d0ed4640-b401-4384-a71f-c07142a99195_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "9f65a1d8-c4dc-46a6-8dc1-818f47a179bf", "image_1": "Perception/single/9f65a1d8-c4dc-46a6-8dc1-818f47a179bf_0.png", "image_2": null, "question": "Can color distortion be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "e63595ba-9087-41a3-95e6-9a911990c382", "image_1": "Perception/single/e63595ba-9087-41a3-95e6-9a911990c382_0.png", "image_2": null, "question": "Is stripe noise visible in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "3d54b9bf-552b-4854-a2c6-5e57231a39cb", "image_1": "Perception/single/3d54b9bf-552b-4854-a2c6-5e57231a39cb_0.png", "image_2": null, "question": "Can image compression be observed in this image?\nA.Yes\nB.No", "answer": "B"}
{"id": "c7937e5e-6d03-4c35-943e-ad7b6c84ea01", "image_1": "Perception/single/c7937e5e-6d03-4c35-943e-ad7b6c84ea01_0.png", "image_2": null, "question": "Does stripe noise lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "9873da2f-c7f7-4ae0-a589-efd60cc079e4", "image_1": "Perception/single/9873da2f-c7f7-4ae0-a589-efd60cc079e4_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "e58941a5-33f6-4499-ae31-ba56ba24f822", "image_1": "Perception/single/e58941a5-33f6-4499-ae31-ba56ba24f822_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "d56edb20-eb28-4782-bdbf-3fdc2edc0a7c", "image_1": "Perception/single/d56edb20-eb28-4782-bdbf-3fdc2edc0a7c_0.png", "image_2": null, "question": "Is stripe noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "fb78d750-91c7-4497-9bca-ef3457e98a86", "image_1": "Perception/single/fb78d750-91c7-4497-9bca-ef3457e98a86_0.png", "image_2": null, "question": "Does stripe noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "11c4f82a-a67d-4e04-8bb6-9a0a7fd528f4", "image_1": "Perception/single/11c4f82a-a67d-4e04-8bb6-9a0a7fd528f4_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "7bf4ca0b-b4b2-48a7-8b88-9b6365fcd5ac", "image_1": "Perception/single/7bf4ca0b-b4b2-48a7-8b88-9b6365fcd5ac_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "468b4b77-2f12-4f6c-8e81-c50181e7253f", "image_1": "Perception/single/468b4b77-2f12-4f6c-8e81-c50181e7253f_0.png", "image_2": null, "question": "Is dead pixel responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "f1e29520-5485-48a1-960a-a3596949e755", "image_1": "Perception/single/f1e29520-5485-48a1-960a-a3596949e755_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "59919dea-8352-436f-a4cd-6d325c84ee74", "image_1": "Perception/single/59919dea-8352-436f-a4cd-6d325c84ee74_0.png", "image_2": null, "question": "Is there stripe noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6f11f5a4-5490-4097-845e-f4322b648b89", "image_1": "Perception/single/6f11f5a4-5490-4097-845e-f4322b648b89_0.png", "image_2": null, "question": "Does stripe noise obscure the image details?\nA.Yes\nB.No", "answer": "A"}
{"id": "cf07c284-7fb4-4ce5-80be-d1dce479fda9", "image_1": "Perception/single/cf07c284-7fb4-4ce5-80be-d1dce479fda9_0.png", "image_2": null, "question": "Is there stripe noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "e15ba81d-29f9-4dd4-84db-a8298c531bcb", "image_1": "Perception/single/e15ba81d-29f9-4dd4-84db-a8298c531bcb_0.png", "image_2": null, "question": "Is stripe noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "f82add15-1d4f-47e4-b18f-ddcf5b75d347", "image_1": "Perception/single/f82add15-1d4f-47e4-b18f-ddcf5b75d347_0.png", "image_2": null, "question": "Does cloud lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "abe878a9-0260-4bb4-ae15-40b79c79fb1f", "image_1": "Perception/single/abe878a9-0260-4bb4-ae15-40b79c79fb1f_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "4c04f7ec-1dcc-4666-b6c8-3e3db83a7e91", "image_1": "Perception/single/4c04f7ec-1dcc-4666-b6c8-3e3db83a7e91_0.png", "image_2": null, "question": "Is stripe noise a critical issue in this image?\nA.Yes\nB.No", "answer": "A"}
{"id": "b53ff334-ebe4-4893-a25f-3a1c6b83e7ce", "image_1": "Perception/single/b53ff334-ebe4-4893-a25f-3a1c6b83e7ce_0.png", "image_2": null, "question": "Does stripe noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "43d42393-518b-45c6-a6ec-883ce45f2658", "image_1": "Perception/single/43d42393-518b-45c6-a6ec-883ce45f2658_0.png", "image_2": null, "question": "Is stripe noise the main factor in this distortion?\nA.Yes\nB.No", "answer": "A"}
{"id": "545ff69b-50b6-4f51-acd2-58623415c9b4", "image_1": "Perception/single/545ff69b-50b6-4f51-acd2-58623415c9b4_0.png", "image_2": null, "question": "Is stripe noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "B"}
{"id": "614da5a5-f949-49d4-b565-9d3063a6f13f", "image_1": "Perception/single/614da5a5-f949-49d4-b565-9d3063a6f13f_0.png", "image_2": null, "question": "Does stripe noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "e41b642a-f3d6-4a22-8cc2-7975c082f4d4", "image_1": "Perception/single/e41b642a-f3d6-4a22-8cc2-7975c082f4d4_0.png", "image_2": null, "question": "Does stripe noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "53870cdd-8e69-4041-9b7a-78e5b7fa903e", "image_1": "Perception/single/53870cdd-8e69-4041-9b7a-78e5b7fa903e_0.png", "image_2": null, "question": "Does the image exhibit stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "5d4ef2e2-4a26-44e0-9015-a8aaf00e7280", "image_1": "Perception/single/5d4ef2e2-4a26-44e0-9015-a8aaf00e7280_0.png", "image_2": null, "question": "Does stripe noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "dadd6444-5539-43aa-9bcb-6e625a3008b6", "image_1": "Perception/single/dadd6444-5539-43aa-9bcb-6e625a3008b6_0.png", "image_2": null, "question": "Does impulse noise obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "35a77fdb-721f-451d-b932-e0a84b3941a7", "image_1": "Perception/single/35a77fdb-721f-451d-b932-e0a84b3941a7_0.png", "image_2": null, "question": "Is image stretching responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "ceead475-8721-4897-a1d2-9eeaa614c22a", "image_1": "Perception/single/ceead475-8721-4897-a1d2-9eeaa614c22a_0.png", "image_2": null, "question": "Does stripe noise lead to information loss?\nA.Yes\nB.No", "answer": "A"}
{"id": "89bd3671-0bff-4e82-93b7-15c165b1dba1", "image_1": "Perception/single/89bd3671-0bff-4e82-93b7-15c165b1dba1_0.png", "image_2": null, "question": "Does stripe noise result in missing information?\nA.Yes\nB.No", "answer": "A"}
{"id": "61cbe63f-01b7-4f8f-9489-c02474127c91", "image_1": "Perception/single/61cbe63f-01b7-4f8f-9489-c02474127c91_0.png", "image_2": null, "question": "Is the image impacted by stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "135a24d2-5593-4370-8724-4cfa1b207f99", "image_1": "Perception/single/135a24d2-5593-4370-8724-4cfa1b207f99_0.png", "image_2": null, "question": "Does missing tiles interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "20864128-50fe-4bd8-a793-a10f9edaa250", "image_1": "Perception/single/20864128-50fe-4bd8-a793-a10f9edaa250_0.png", "image_2": null, "question": "Does image compression obscure the image details?\nA.Yes\nB.No", "answer": "B"}
{"id": "430c51af-7372-4075-8069-a287600c1462", "image_1": "Perception/single/430c51af-7372-4075-8069-a287600c1462_0.png", "image_2": null, "question": "Does impulse noise compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "da6b3bdf-2b74-4614-9bf4-e7fdf3ecfe79", "image_1": "Perception/single/da6b3bdf-2b74-4614-9bf4-e7fdf3ecfe79_0.png", "image_2": null, "question": "Is stripe noise apparent in this remote sensing scene?\nA.Yes\nB.No", "answer": "A"}
{"id": "34255776-3fb2-4992-955f-7839a1a3d1ee", "image_1": "Perception/single/34255776-3fb2-4992-955f-7839a1a3d1ee_0.png", "image_2": null, "question": "Does stripe noise affect the image quality?\nA.Yes\nB.No", "answer": "A"}
{"id": "015670ba-3eb9-4c0c-80fb-c6e50acf6fdd", "image_1": "Perception/single/015670ba-3eb9-4c0c-80fb-c6e50acf6fdd_0.png", "image_2": null, "question": "Is there stripe noise present in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "179f4cf8-cc54-4fad-9ef1-2ff7c21ec414", "image_1": "Perception/single/179f4cf8-cc54-4fad-9ef1-2ff7c21ec414_0.png", "image_2": null, "question": "Does the image exhibit spatially correlated noise?\nA.Yes\nB.No", "answer": "B"}
{"id": "17859896-70a4-4d8b-8e6b-886e543c0eab", "image_1": "Perception/single/17859896-70a4-4d8b-8e6b-886e543c0eab_0.png", "image_2": null, "question": "Is dead pixel visible in the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "01751f2b-283e-467f-ae5b-69ef7884edea", "image_1": "Perception/single/01751f2b-283e-467f-ae5b-69ef7884edea_0.png", "image_2": null, "question": "Is the image impacted by stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "ea1357ec-55a3-4522-b7e9-35c9e549e659", "image_1": "Perception/single/ea1357ec-55a3-4522-b7e9-35c9e549e659_0.png", "image_2": null, "question": "Is stripe noise a dominant distortion in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "d42a34b4-df5a-4aca-8f36-cb39cc280b2f", "image_1": "Perception/single/d42a34b4-df5a-4aca-8f36-cb39cc280b2f_0.png", "image_2": null, "question": "Does gaussian noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "B"}
{"id": "f0851991-37a3-4422-94fb-8dae79f8cebe", "image_1": "Perception/single/f0851991-37a3-4422-94fb-8dae79f8cebe_0.png", "image_2": null, "question": "Does stripe noise interfere with image interpretation?\nA.Yes\nB.No", "answer": "A"}
{"id": "74f2bcb2-24bf-4b7e-b503-b445de3ac13f", "image_1": "Perception/single/74f2bcb2-24bf-4b7e-b503-b445de3ac13f_0.png", "image_2": null, "question": "Does dead pixel reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "71655a28-97b9-4a21-986d-770c8e0e1e96", "image_1": "Perception/single/71655a28-97b9-4a21-986d-770c8e0e1e96_0.png", "image_2": null, "question": "Does image stretching lead to information loss?\nA.Yes\nB.No", "answer": "B"}
{"id": "b6c9f9fa-a6a6-42a3-a75c-cd457265cba1", "image_1": "Perception/single/b6c9f9fa-a6a6-42a3-a75c-cd457265cba1_0.png", "image_2": null, "question": "Is stripe noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "157e397c-45a2-45cb-8253-ff86f26ef5c3", "image_1": "Perception/single/157e397c-45a2-45cb-8253-ff86f26ef5c3_0.png", "image_2": null, "question": "Is gaussian blur the primary source of degradation?\nA.Yes\nB.No", "answer": "B"}
{"id": "d7270953-bf74-41f3-b67d-e736e02b8958", "image_1": "Perception/single/d7270953-bf74-41f3-b67d-e736e02b8958_0.png", "image_2": null, "question": "Is stripe noise responsible for visual artifacts in the image?\nA.Yes\nB.No", "answer": "A"}
{"id": "6c99af13-9bbd-45bf-bd3a-8bb3c5d31fd8", "image_1": "Perception/single/6c99af13-9bbd-45bf-bd3a-8bb3c5d31fd8_0.png", "image_2": null, "question": "Is image compression the main factor in this distortion?\nA.Yes\nB.No", "answer": "B"}
{"id": "8c4bbc3d-a918-404b-bf48-8b901c9a3b2d", "image_1": "Perception/single/8c4bbc3d-a918-404b-bf48-8b901c9a3b2d_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "5909f6bd-e8d1-45ba-85c2-8ef3611bb019", "image_1": "Perception/single/5909f6bd-e8d1-45ba-85c2-8ef3611bb019_0.png", "image_2": null, "question": "Is the image impacted by stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "8ba69e27-233e-437a-b9ef-48b4d7b2e641", "image_1": "Perception/single/8ba69e27-233e-437a-b9ef-48b4d7b2e641_0.png", "image_2": null, "question": "Does deadline noise reduce the usability of the image?\nA.Yes\nB.No", "answer": "B"}
{"id": "fdc235e2-7074-4a2f-a33f-ab471715cd13", "image_1": "Perception/single/fdc235e2-7074-4a2f-a33f-ab471715cd13_0.png", "image_2": null, "question": "Does this image contain stripe noise?\nA.Yes\nB.No", "answer": "A"}
{"id": "37c3f0d1-f73b-4670-a9cb-10a914330bef", "image_1": "Perception/single/37c3f0d1-f73b-4670-a9cb-10a914330bef_0.png", "image_2": null, "question": "Does image compression compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "3999a4a5-79d4-4119-b23f-347f17fd24b2", "image_1": "Perception/single/3999a4a5-79d4-4119-b23f-347f17fd24b2_0.png", "image_2": null, "question": "Does deadline noise compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "841cb7a2-0d7d-490e-9483-11cebb071eb0", "image_1": "Perception/single/841cb7a2-0d7d-490e-9483-11cebb071eb0_0.png", "image_2": null, "question": "Is spatially correlated noise present and significant?\nA.Yes\nB.No", "answer": "B"}
{"id": "744d98a5-a371-44ab-9942-4061210660f2", "image_1": "Perception/single/744d98a5-a371-44ab-9942-4061210660f2_0.png", "image_2": null, "question": "Does dead pixel compromise the data integrity?\nA.Yes\nB.No", "answer": "B"}
{"id": "47e07296-72c2-4603-9517-ad5669464645", "image_1": "Perception/single/47e07296-72c2-4603-9517-ad5669464645_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. spatially correlated noise\nB. color distortion\nC. image compression\nD. dead pixel", "answer": "A,C"}
{"id": "091a6dfc-a4c4-4f46-a8fe-1bdb52951615", "image_1": "Perception/single/091a6dfc-a4c4-4f46-a8fe-1bdb52951615_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. missing tiles\nB. stripe noise\nC. image stretching\nD. motion blur", "answer": "B,C"}
{"id": "86a8f7ce-b236-41b9-a482-79735c0d1b62", "image_1": "Perception/single/86a8f7ce-b236-41b9-a482-79735c0d1b62_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. motion blur\nB. deadline noise\nC. image compression\nD. image stretching", "answer": "A,C"}
{"id": "62117c88-3a9e-47e2-b4f4-b2242f70f9e3", "image_1": "Perception/single/62117c88-3a9e-47e2-b4f4-b2242f70f9e3_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image compression\nB. spatially correlated noise\nC. impulse noise\nD. gaussian blur", "answer": "A,B"}
{"id": "69e82d61-3ddd-45c2-bb06-f44a30fa5561", "image_1": "Perception/single/69e82d61-3ddd-45c2-bb06-f44a30fa5561_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. haze\nB. dead pixel\nC. spatially correlated noise\nD. gaussian noise", "answer": "A,B"}
{"id": "55df2397-2f28-43d6-826e-81f2e40b8f69", "image_1": "Perception/single/55df2397-2f28-43d6-826e-81f2e40b8f69_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. cloud\nB. color distortion\nC. gaussian blur\nD. image compression", "answer": "A,C"}
{"id": "419b4215-0b6c-466b-94b7-11014385363f", "image_1": "Perception/single/419b4215-0b6c-466b-94b7-11014385363f_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. gaussian blur\nB. motion blur\nC. image compression\nD. spatially correlated noise", "answer": "B,C"}
{"id": "5eb4e7f3-cc15-4946-9d59-ed4ec07dbde8", "image_1": "Perception/single/5eb4e7f3-cc15-4946-9d59-ed4ec07dbde8_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian blur\nB. motion blur\nC. image stretching\nD. image compression", "answer": "C,D"}
{"id": "63096ae1-485d-4807-a4d9-1f598646d07d", "image_1": "Perception/single/63096ae1-485d-4807-a4d9-1f598646d07d_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. haze\nB. cloud\nC. image compression\nD. deadline noise", "answer": "C,D"}
{"id": "05d36177-6254-4102-9325-4d573811d563", "image_1": "Perception/single/05d36177-6254-4102-9325-4d573811d563_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. deadline noise\nB. image stretching\nC. image compression\nD. dead pixel", "answer": "B,D"}
{"id": "1cc24cca-0f2a-4c80-b9e4-313785ac15c4", "image_1": "Perception/single/1cc24cca-0f2a-4c80-b9e4-313785ac15c4_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian blur\nB. dead pixel\nC. deadline noise\nD. color distortion", "answer": "A,C"}
{"id": "5dce96a0-4055-4ce1-95ba-2e5ec8e04760", "image_1": "Perception/single/5dce96a0-4055-4ce1-95ba-2e5ec8e04760_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. gaussian noise\nB. motion blur\nC. image compression\nD. stripe noise", "answer": "B,C"}
{"id": "3d14bba1-cd66-4d46-b646-28bef611a2a3", "image_1": "Perception/single/3d14bba1-cd66-4d46-b646-28bef611a2a3_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. cloud\nB. gaussian noise\nC. color distortion\nD. dead pixel", "answer": "A,D"}
{"id": "8d5fbf2b-96f9-4e68-8a27-08f3b2e28eb3", "image_1": "Perception/single/8d5fbf2b-96f9-4e68-8a27-08f3b2e28eb3_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. motion blur\nB. deadline noise\nC. gaussian noise\nD. stripe noise", "answer": "A,D"}
{"id": "f47efc22-f9c6-413d-8968-712871d16375", "image_1": "Perception/single/f47efc22-f9c6-413d-8968-712871d16375_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian noise\nB. haze\nC. stripe noise\nD. image stretching", "answer": "C,D"}
{"id": "b39055f4-30cd-4627-ad26-14ce6dcdc6f8", "image_1": "Perception/single/b39055f4-30cd-4627-ad26-14ce6dcdc6f8_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. image stretching\nB. missing tiles\nC. haze\nD. stripe noise", "answer": "A,B"}
{"id": "937da8d3-494e-4d66-88bf-0bc5fa8dbc9f", "image_1": "Perception/single/937da8d3-494e-4d66-88bf-0bc5fa8dbc9f_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. stripe noise\nB. dead pixel\nC. image compression\nD. spatially correlated noise", "answer": "A,B"}
{"id": "23d2a567-6e03-4038-9b78-ac62db5d8529", "image_1": "Perception/single/23d2a567-6e03-4038-9b78-ac62db5d8529_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. cloud\nB. stripe noise\nC. color distortion\nD. dead pixel", "answer": "C,D"}
{"id": "3eafc794-ce68-44cb-8b32-c664cd160a24", "image_1": "Perception/single/3eafc794-ce68-44cb-8b32-c664cd160a24_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. color distortion\nB. dead pixel\nC. image compression\nD. gaussian blur", "answer": "A,C"}
{"id": "4334ea30-bfc1-44df-b16d-2fa5e072f7e7", "image_1": "Perception/single/4334ea30-bfc1-44df-b16d-2fa5e072f7e7_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. missing tiles\nB. dead pixel\nC. image compression\nD. gaussian blur", "answer": "C,D"}
{"id": "345f9697-381a-4e51-8356-cf9fe2f7e140", "image_1": "Perception/single/345f9697-381a-4e51-8356-cf9fe2f7e140_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. color distortion\nB. dead pixel\nC. cloud\nD. impulse noise", "answer": "A,D"}
{"id": "8e8279d0-1a60-4144-a989-d34ebbe182ca", "image_1": "Perception/single/8e8279d0-1a60-4144-a989-d34ebbe182ca_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. color distortion\nB. stripe noise\nC. dead pixel\nD. image stretching", "answer": "A,C"}
{"id": "0290b015-232b-4787-8ddb-b0bfb40e1a44", "image_1": "Perception/single/0290b015-232b-4787-8ddb-b0bfb40e1a44_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. missing tiles\nB. color distortion\nC. deadline noise\nD. impulse noise", "answer": "A,C"}
{"id": "9f6ea2a6-7834-497b-9ea0-b7b6209023ee", "image_1": "Perception/single/9f6ea2a6-7834-497b-9ea0-b7b6209023ee_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. missing tiles\nB. image stretching\nC. gaussian blur\nD. color distortion", "answer": "A,C"}
{"id": "0fe43db6-4dae-4e48-a203-0121bab77916", "image_1": "Perception/single/0fe43db6-4dae-4e48-a203-0121bab77916_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. impulse noise\nB. image compression\nC. deadline noise\nD. haze", "answer": "A,B"}
{"id": "868edda6-45f7-499b-95e2-56ad468885ea", "image_1": "Perception/single/868edda6-45f7-499b-95e2-56ad468885ea_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. dead pixel\nB. impulse noise\nC. haze\nD. image compression", "answer": "A,B"}
{"id": "374c6b99-fe8f-4846-984a-ccefb030a22e", "image_1": "Perception/single/374c6b99-fe8f-4846-984a-ccefb030a22e_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. impulse noise\nB. stripe noise\nC. deadline noise\nD. missing tiles", "answer": "C,D"}
{"id": "845d8305-b7da-44c3-80ac-6da7625f50c1", "image_1": "Perception/single/845d8305-b7da-44c3-80ac-6da7625f50c1_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. cloud\nB. color distortion\nC. image compression\nD. deadline noise", "answer": "B,C"}
{"id": "a60bc706-ec0f-4a4a-a9c2-a05cd4468106", "image_1": "Perception/single/a60bc706-ec0f-4a4a-a9c2-a05cd4468106_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. color distortion\nB. motion blur\nC. gaussian blur\nD. impulse noise", "answer": "A,B"}
{"id": "d81635c6-529f-4442-879d-8c8700768e2b", "image_1": "Perception/single/d81635c6-529f-4442-879d-8c8700768e2b_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image stretching\nB. image compression\nC. gaussian noise\nD. haze", "answer": "B,C"}
{"id": "ef50afa6-4ad5-433b-abe7-3742661ce69b", "image_1": "Perception/single/ef50afa6-4ad5-433b-abe7-3742661ce69b_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. dead pixel\nB. gaussian noise\nC. image stretching\nD. missing tiles", "answer": "A,C"}
{"id": "438a181c-fa41-4844-9fac-efb5d75a259c", "image_1": "Perception/single/438a181c-fa41-4844-9fac-efb5d75a259c_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. cloud\nB. deadline noise\nC. image stretching\nD. dead pixel", "answer": "A,C"}
{"id": "a2e98772-d130-4f95-af29-e3b333a73464", "image_1": "Perception/single/a2e98772-d130-4f95-af29-e3b333a73464_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. gaussian blur\nB. image compression\nC. impulse noise\nD. stripe noise", "answer": "B,C"}
{"id": "ebb010a5-e501-476e-9cc7-7ee80937d3ea", "image_1": "Perception/single/ebb010a5-e501-476e-9cc7-7ee80937d3ea_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. image compression\nB. haze\nC. impulse noise\nD. spatially correlated noise", "answer": "A,B"}
{"id": "17926d53-cfe7-40b0-b030-62c36fc8edac", "image_1": "Perception/single/17926d53-cfe7-40b0-b030-62c36fc8edac_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian blur\nB. deadline noise\nC. impulse noise\nD. dead pixel", "answer": "B,D"}
{"id": "22b36fe9-3417-455b-aaed-6d64c4a036a7", "image_1": "Perception/single/22b36fe9-3417-455b-aaed-6d64c4a036a7_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. color distortion\nB. gaussian noise\nC. image stretching\nD. cloud", "answer": "B,C"}
{"id": "ba9f4288-e1c7-452d-961f-f9144a0eb267", "image_1": "Perception/single/ba9f4288-e1c7-452d-961f-f9144a0eb267_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. gaussian blur\nB. missing tiles\nC. dead pixel\nD. color distortion", "answer": "A,C"}
{"id": "e0983ea9-84d7-4295-899c-55c71964a42c", "image_1": "Perception/single/e0983ea9-84d7-4295-899c-55c71964a42c_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. image stretching\nB. dead pixel\nC. missing tiles\nD. motion blur", "answer": "A,B"}
{"id": "a074fa71-0b68-47bf-b3fb-27f524bad42e", "image_1": "Perception/single/a074fa71-0b68-47bf-b3fb-27f524bad42e_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. deadline noise\nB. image stretching\nC. motion blur\nD. missing tiles", "answer": "A,C"}
{"id": "533db027-7cb4-4e5d-b1a0-ebcbe4b86ac2", "image_1": "Perception/single/533db027-7cb4-4e5d-b1a0-ebcbe4b86ac2_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image stretching\nB. image compression\nC. missing tiles\nD. gaussian noise", "answer": "A,B"}
{"id": "c5549fa9-ec39-48e9-a8f8-acb10b9c17c4", "image_1": "Perception/single/c5549fa9-ec39-48e9-a8f8-acb10b9c17c4_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. motion blur\nB. image compression\nC. dead pixel\nD. image stretching", "answer": "B,D"}
{"id": "7d2b9b6f-726a-446a-a92a-7ecaae6d5ccc", "image_1": "Perception/single/7d2b9b6f-726a-446a-a92a-7ecaae6d5ccc_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. motion blur\nB. dead pixel\nC. impulse noise\nD. stripe noise", "answer": "B,D"}
{"id": "2fa1cfd8-a66f-4d1f-8849-c4ab0e569a76", "image_1": "Perception/single/2fa1cfd8-a66f-4d1f-8849-c4ab0e569a76_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. haze\nB. spatially correlated noise\nC. dead pixel\nD. motion blur", "answer": "A,C"}
{"id": "7649cb19-f9cc-452e-866a-a41b247bbd4a", "image_1": "Perception/single/7649cb19-f9cc-452e-866a-a41b247bbd4a_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. gaussian noise\nB. stripe noise\nC. impulse noise\nD. image compression", "answer": "C,D"}
{"id": "123f9ef6-2f71-4672-93d1-3f8605063b79", "image_1": "Perception/single/123f9ef6-2f71-4672-93d1-3f8605063b79_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. dead pixel\nB. motion blur\nC. haze\nD. gaussian blur", "answer": "A,B"}
{"id": "cad05c06-6c33-48f6-9958-e35877ed6db3", "image_1": "Perception/single/cad05c06-6c33-48f6-9958-e35877ed6db3_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. color distortion\nB. stripe noise\nC. gaussian blur\nD. dead pixel", "answer": "A,D"}
{"id": "64d61e23-4905-42ab-90fd-052f52e0fb03", "image_1": "Perception/single/64d61e23-4905-42ab-90fd-052f52e0fb03_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. impulse noise\nB. gaussian blur\nC. motion blur\nD. dead pixel", "answer": "A,D"}
{"id": "2ee8d3a6-8835-44c5-89aa-6a95fec05cac", "image_1": "Perception/single/2ee8d3a6-8835-44c5-89aa-6a95fec05cac_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. haze\nB. spatially correlated noise\nC. motion blur\nD. image stretching", "answer": "A,C"}
{"id": "52ecd466-debb-419e-9380-b1c18a3bd205", "image_1": "Perception/single/52ecd466-debb-419e-9380-b1c18a3bd205_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. missing tiles\nB. image stretching\nC. dead pixel\nD. color distortion", "answer": "A,D"}
{"id": "83574e72-8517-4bcb-8fa6-3e3bcef6d4ce", "image_1": "Perception/single/83574e72-8517-4bcb-8fa6-3e3bcef6d4ce_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian blur\nB. image stretching\nC. color distortion\nD. stripe noise", "answer": "B,D"}
{"id": "23e1769a-0e6e-4fe8-9463-5fdd065d213c", "image_1": "Perception/single/23e1769a-0e6e-4fe8-9463-5fdd065d213c_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image compression\nB. haze\nC. color distortion\nD. impulse noise", "answer": "A,C"}
{"id": "9476a990-1526-4d25-9b3e-b8e9a4c24db5", "image_1": "Perception/single/9476a990-1526-4d25-9b3e-b8e9a4c24db5_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. gaussian blur\nB. image stretching\nC. impulse noise\nD. dead pixel", "answer": "C,D"}
{"id": "fd9ac5b1-8da2-42ee-b2c2-2afb8dcce088", "image_1": "Perception/single/fd9ac5b1-8da2-42ee-b2c2-2afb8dcce088_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. gaussian blur\nB. stripe noise\nC. spatially correlated noise\nD. image stretching", "answer": "C,D"}
{"id": "9b7a07ad-3e2e-43c2-bfc6-d6a85f72b454", "image_1": "Perception/single/9b7a07ad-3e2e-43c2-bfc6-d6a85f72b454_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. cloud\nB. gaussian blur\nC. image compression\nD. haze", "answer": "A,C"}
{"id": "b16e7776-f20a-49a3-9523-8de3e9331630", "image_1": "Perception/single/b16e7776-f20a-49a3-9523-8de3e9331630_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. color distortion\nB. stripe noise\nC. image compression\nD. dead pixel", "answer": "B,D"}
{"id": "1e5cb121-7994-4f8f-8c3d-1a3a530bd492", "image_1": "Perception/single/1e5cb121-7994-4f8f-8c3d-1a3a530bd492_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. color distortion\nB. image compression\nC. cloud\nD. impulse noise", "answer": "B,C"}
{"id": "3280794c-2ffa-4a89-a00c-a9cdb0eb94d8", "image_1": "Perception/single/3280794c-2ffa-4a89-a00c-a9cdb0eb94d8_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. cloud\nB. gaussian blur\nC. dead pixel\nD. color distortion", "answer": "A,D"}
{"id": "d1d19f2a-3e41-4d13-a8a1-73ae16ad9a39", "image_1": "Perception/single/d1d19f2a-3e41-4d13-a8a1-73ae16ad9a39_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. color distortion\nB. image stretching\nC. gaussian blur\nD. image compression", "answer": "A,C"}
{"id": "5c1871d2-deb9-4afb-bb5b-a17265356b43", "image_1": "Perception/single/5c1871d2-deb9-4afb-bb5b-a17265356b43_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. dead pixel\nB. color distortion\nC. image compression\nD. impulse noise", "answer": "A,B"}
{"id": "43de06b1-ed25-432e-a57b-9f7e617992b5", "image_1": "Perception/single/43de06b1-ed25-432e-a57b-9f7e617992b5_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. image compression\nB. gaussian blur\nC. dead pixel\nD. motion blur", "answer": "B,C"}
{"id": "e7de776b-f724-46b0-a308-b1bd31a99b5f", "image_1": "Perception/single/e7de776b-f724-46b0-a308-b1bd31a99b5f_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. motion blur\nB. spatially correlated noise\nC. haze\nD. missing tiles", "answer": "A,C"}
{"id": "b529816b-d354-4d1c-8523-74059b1f7e17", "image_1": "Perception/single/b529816b-d354-4d1c-8523-74059b1f7e17_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. deadline noise\nB. gaussian blur\nC. missing tiles\nD. motion blur", "answer": "A,D"}
{"id": "95335a35-8f47-4554-9472-289c1395c7fd", "image_1": "Perception/single/95335a35-8f47-4554-9472-289c1395c7fd_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. motion blur\nB. haze\nC. dead pixel\nD. impulse noise", "answer": "A,C"}
{"id": "5dbbe01d-f124-4b36-8249-2a039020f8c4", "image_1": "Perception/single/5dbbe01d-f124-4b36-8249-2a039020f8c4_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. color distortion\nB. stripe noise\nC. gaussian blur\nD. image stretching", "answer": "C,D"}
{"id": "72194e98-7f6c-400a-a7b0-76b28081f59b", "image_1": "Perception/single/72194e98-7f6c-400a-a7b0-76b28081f59b_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. spatially correlated noise\nB. dead pixel\nC. image stretching\nD. impulse noise", "answer": "B,C"}
{"id": "07f327de-bf6d-442c-b7c1-9c42932c782c", "image_1": "Perception/single/07f327de-bf6d-442c-b7c1-9c42932c782c_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. motion blur\nB. image compression\nC. stripe noise\nD. dead pixel", "answer": "B,C"}
{"id": "a8e4decb-6753-4c83-b3c4-b1d271e0d740", "image_1": "Perception/single/a8e4decb-6753-4c83-b3c4-b1d271e0d740_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. image stretching\nB. motion blur\nC. impulse noise\nD. image compression", "answer": "B,D"}
{"id": "820f5e8e-dbc6-428d-841d-5ccc80c5fe75", "image_1": "Perception/single/820f5e8e-dbc6-428d-841d-5ccc80c5fe75_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. haze\nB. image compression\nC. image stretching\nD. impulse noise", "answer": "A,C"}
{"id": "8ae2b7fc-e20d-41f0-801d-74a22d320c69", "image_1": "Perception/single/8ae2b7fc-e20d-41f0-801d-74a22d320c69_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian blur\nB. deadline noise\nC. gaussian noise\nD. stripe noise", "answer": "A,D"}
{"id": "d7773dc7-b12b-4454-8ac1-2149aaaa491e", "image_1": "Perception/single/d7773dc7-b12b-4454-8ac1-2149aaaa491e_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. missing tiles\nB. motion blur\nC. image stretching\nD. dead pixel", "answer": "B,C"}
{"id": "850f27c5-60c8-4213-8f99-398b0fad91b4", "image_1": "Perception/single/850f27c5-60c8-4213-8f99-398b0fad91b4_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. color distortion\nB. dead pixel\nC. gaussian blur\nD. stripe noise", "answer": "A,B"}
{"id": "0f648491-5c76-4f95-9c0a-864c99f1b156", "image_1": "Perception/single/0f648491-5c76-4f95-9c0a-864c99f1b156_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian noise\nB. missing tiles\nC. motion blur\nD. gaussian blur", "answer": "A,B"}
{"id": "e60f0825-7bc7-4d84-b358-e6c4bc73e79a", "image_1": "Perception/single/e60f0825-7bc7-4d84-b358-e6c4bc73e79a_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. dead pixel\nB. spatially correlated noise\nC. color distortion\nD. image compression", "answer": "C,D"}
{"id": "e36675af-2b09-45a1-a3f7-0f4cb0220d18", "image_1": "Perception/single/e36675af-2b09-45a1-a3f7-0f4cb0220d18_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. dead pixel\nB. haze\nC. image compression\nD. gaussian noise", "answer": "B,C"}
{"id": "3bc17134-9ee2-4d64-befe-08fd56367e58", "image_1": "Perception/single/3bc17134-9ee2-4d64-befe-08fd56367e58_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. stripe noise\nB. gaussian blur\nC. image compression\nD. motion blur", "answer": "C,D"}
{"id": "a794cc5f-4df9-491f-9007-bbe12c98c5d7", "image_1": "Perception/single/a794cc5f-4df9-491f-9007-bbe12c98c5d7_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image compression\nB. stripe noise\nC. gaussian noise\nD. image stretching", "answer": "A,B"}
{"id": "b979e941-e4e6-496d-95ab-58ccdacec5e0", "image_1": "Perception/single/b979e941-e4e6-496d-95ab-58ccdacec5e0_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. motion blur\nB. image compression\nC. haze\nD. deadline noise", "answer": "B,D"}
{"id": "1ee692e1-70ef-46b1-bf92-568000f37f2d", "image_1": "Perception/single/1ee692e1-70ef-46b1-bf92-568000f37f2d_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. haze\nB. cloud\nC. motion blur\nD. deadline noise", "answer": "B,C"}
{"id": "fa8a5986-43ae-4b8a-9bb2-500e622a813a", "image_1": "Perception/single/fa8a5986-43ae-4b8a-9bb2-500e622a813a_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. deadline noise\nB. color distortion\nC. stripe noise\nD. image stretching", "answer": "A,B"}
{"id": "8316e717-8be3-43d3-9f99-84d0cf4f6ca1", "image_1": "Perception/single/8316e717-8be3-43d3-9f99-84d0cf4f6ca1_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image stretching\nB. gaussian noise\nC. color distortion\nD. missing tiles", "answer": "A,D"}
{"id": "24992f0c-d50a-430b-a2b2-6b93da3cbcab", "image_1": "Perception/single/24992f0c-d50a-430b-a2b2-6b93da3cbcab_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image stretching\nB. cloud\nC. motion blur\nD. color distortion", "answer": "B,C"}
{"id": "1d8f2c8b-5cb7-4bac-8991-2add6fe650f2", "image_1": "Perception/single/1d8f2c8b-5cb7-4bac-8991-2add6fe650f2_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian blur\nB. spatially correlated noise\nC. haze\nD. missing tiles", "answer": "A,C"}
{"id": "2945bc03-ac96-4df0-b93a-219dd3385f65", "image_1": "Perception/single/2945bc03-ac96-4df0-b93a-219dd3385f65_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian blur\nB. dead pixel\nC. haze\nD. image stretching", "answer": "A,D"}
{"id": "ff44105f-1ae5-4930-a329-42d2d7688952", "image_1": "Perception/single/ff44105f-1ae5-4930-a329-42d2d7688952_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. image stretching\nB. motion blur\nC. missing tiles\nD. deadline noise", "answer": "A,B"}
{"id": "63e49832-4bac-478a-b71f-586d1e0fd7db", "image_1": "Perception/single/63e49832-4bac-478a-b71f-586d1e0fd7db_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. impulse noise\nB. gaussian blur\nC. image compression\nD. deadline noise", "answer": "B,C"}
{"id": "fc837dd4-a05d-4863-ac9e-5e09fa285d9f", "image_1": "Perception/single/fc837dd4-a05d-4863-ac9e-5e09fa285d9f_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. dead pixel\nB. image stretching\nC. gaussian noise\nD. deadline noise", "answer": "A,D"}
{"id": "d67659f3-1ba8-4f1a-80b0-839c955b2515", "image_1": "Perception/single/d67659f3-1ba8-4f1a-80b0-839c955b2515_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. image compression\nB. haze\nC. cloud\nD. motion blur", "answer": "A,C"}
{"id": "905ceb57-73e0-43ff-9bdf-6859580ebad0", "image_1": "Perception/single/905ceb57-73e0-43ff-9bdf-6859580ebad0_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. haze\nB. image stretching\nC. image compression\nD. gaussian noise", "answer": "B,C"}
{"id": "2648cd84-683a-4752-af80-203321d3213f", "image_1": "Perception/single/2648cd84-683a-4752-af80-203321d3213f_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. dead pixel\nB. haze\nC. image compression\nD. cloud", "answer": "C,D"}
{"id": "045166d1-50e4-4618-a135-66a28a203d57", "image_1": "Perception/single/045166d1-50e4-4618-a135-66a28a203d57_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. spatially correlated noise\nB. gaussian blur\nC. image stretching\nD. color distortion", "answer": "A,C"}
{"id": "17ed3468-7597-4feb-a6e9-af70d8c8b453", "image_1": "Perception/single/17ed3468-7597-4feb-a6e9-af70d8c8b453_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. stripe noise\nB. image stretching\nC. spatially correlated noise\nD. motion blur", "answer": "A,D"}
{"id": "ddc244f0-ce0a-4b15-9665-1f816f6f8059", "image_1": "Perception/single/ddc244f0-ce0a-4b15-9665-1f816f6f8059_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. dead pixel\nB. gaussian noise\nC. color distortion\nD. image stretching", "answer": "A,B"}
{"id": "aff774b0-6de1-4bfb-bc3e-cdebb1682d56", "image_1": "Perception/single/aff774b0-6de1-4bfb-bc3e-cdebb1682d56_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. impulse noise\nB. motion blur\nC. image stretching\nD. missing tiles", "answer": "B,C"}
{"id": "381343e9-4488-400f-9f50-5e6c996fc45b", "image_1": "Perception/single/381343e9-4488-400f-9f50-5e6c996fc45b_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image stretching\nB. spatially correlated noise\nC. missing tiles\nD. dead pixel", "answer": "A,C"}
{"id": "fb33b512-6674-4130-95b4-d383187bf996", "image_1": "Perception/single/fb33b512-6674-4130-95b4-d383187bf996_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image compression\nB. cloud\nC. stripe noise\nD. gaussian blur", "answer": "B,D"}
{"id": "fa0132f5-49c5-4927-b5b4-a5baf7ac01c9", "image_1": "Perception/single/fa0132f5-49c5-4927-b5b4-a5baf7ac01c9_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. deadline noise\nB. dead pixel\nC. haze\nD. image compression", "answer": "C,D"}
{"id": "c469e6f9-ba89-4435-bd6a-23655c0d2bd8", "image_1": "Perception/single/c469e6f9-ba89-4435-bd6a-23655c0d2bd8_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. motion blur\nB. haze\nC. color distortion\nD. dead pixel", "answer": "B,D"}
{"id": "12b21b44-a2c0-405e-818f-892563f10e09", "image_1": "Perception/single/12b21b44-a2c0-405e-818f-892563f10e09_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. spatially correlated noise\nB. color distortion\nC. cloud\nD. image stretching", "answer": "A,B"}
{"id": "58148030-1d8b-465e-b3e6-55e2ee466ff6", "image_1": "Perception/single/58148030-1d8b-465e-b3e6-55e2ee466ff6_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. color distortion\nB. image compression\nC. deadline noise\nD. gaussian blur", "answer": "A,B"}
{"id": "87208328-63ec-4d4e-8aeb-bac75842b29c", "image_1": "Perception/single/87208328-63ec-4d4e-8aeb-bac75842b29c_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. image stretching\nB. image compression\nC. cloud\nD. gaussian noise", "answer": "A,B"}
{"id": "cabeec71-6fd0-448e-9efb-8c4daf667148", "image_1": "Perception/single/cabeec71-6fd0-448e-9efb-8c4daf667148_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. color distortion\nB. dead pixel\nC. spatially correlated noise\nD. gaussian blur", "answer": "B,D"}
{"id": "06d0c655-b0b0-47d0-8335-80c276c62ce0", "image_1": "Perception/single/06d0c655-b0b0-47d0-8335-80c276c62ce0_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. color distortion\nB. image compression\nC. gaussian blur\nD. dead pixel", "answer": "A,C"}
{"id": "268134cb-d8b4-4932-b425-451cbb8ff225", "image_1": "Perception/single/268134cb-d8b4-4932-b425-451cbb8ff225_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image compression\nB. stripe noise\nC. image stretching\nD. cloud", "answer": "A,C"}
{"id": "6d5f2740-295e-4238-bb4b-4def86935c68", "image_1": "Perception/single/6d5f2740-295e-4238-bb4b-4def86935c68_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. spatially correlated noise\nB. dead pixel\nC. color distortion\nD. stripe noise", "answer": "B,D"}
{"id": "56746e78-a128-4460-8e1d-340cc7b21ccd", "image_1": "Perception/single/56746e78-a128-4460-8e1d-340cc7b21ccd_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. cloud\nB. image compression\nC. missing tiles\nD. image stretching", "answer": "B,D"}
{"id": "f1f14773-d2da-4636-b834-2dfdb5535078", "image_1": "Perception/single/f1f14773-d2da-4636-b834-2dfdb5535078_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. dead pixel\nB. color distortion\nC. deadline noise\nD. image compression", "answer": "B,D"}
{"id": "23fe19d5-b4ec-45e2-a855-9a96c37332ba", "image_1": "Perception/single/23fe19d5-b4ec-45e2-a855-9a96c37332ba_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. color distortion\nB. image stretching\nC. dead pixel\nD. stripe noise", "answer": "B,C"}
{"id": "fc0ceaa7-9e6d-4788-b76e-568a4644406b", "image_1": "Perception/single/fc0ceaa7-9e6d-4788-b76e-568a4644406b_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. missing tiles\nB. motion blur\nC. impulse noise\nD. deadline noise", "answer": "A,B"}
{"id": "58bdd9d7-47f8-4f17-9134-53c4f37077d7", "image_1": "Perception/single/58bdd9d7-47f8-4f17-9134-53c4f37077d7_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image stretching\nB. missing tiles\nC. gaussian noise\nD. stripe noise", "answer": "A,B"}
{"id": "d4948ecb-3942-4dfe-8a46-67e6d09463ef", "image_1": "Perception/single/d4948ecb-3942-4dfe-8a46-67e6d09463ef_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image compression\nB. dead pixel\nC. image stretching\nD. cloud", "answer": "B,C"}
{"id": "faf94e02-e282-49eb-8afe-718350af761f", "image_1": "Perception/single/faf94e02-e282-49eb-8afe-718350af761f_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. cloud\nB. haze\nC. missing tiles\nD. gaussian noise", "answer": "C,D"}
{"id": "04c6eda9-4165-4ab0-8758-fd3c3de68d16", "image_1": "Perception/single/04c6eda9-4165-4ab0-8758-fd3c3de68d16_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian noise\nB. cloud\nC. dead pixel\nD. color distortion", "answer": "A,C"}
{"id": "ad065eb3-2d36-40c4-bec4-9c771d90eec1", "image_1": "Perception/single/ad065eb3-2d36-40c4-bec4-9c771d90eec1_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian blur\nB. missing tiles\nC. impulse noise\nD. spatially correlated noise", "answer": "A,B"}
{"id": "6e1c00c3-a4ce-4a68-821e-51663d83f5c8", "image_1": "Perception/single/6e1c00c3-a4ce-4a68-821e-51663d83f5c8_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. dead pixel\nB. gaussian blur\nC. motion blur\nD. image stretching", "answer": "A,D"}
{"id": "30faa220-5ae4-466b-9aeb-0f5d00e42f49", "image_1": "Perception/single/30faa220-5ae4-466b-9aeb-0f5d00e42f49_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. missing tiles\nB. spatially correlated noise\nC. color distortion\nD. gaussian noise", "answer": "A,D"}
{"id": "ef5a8caa-6881-4cd3-9d67-83865951280d", "image_1": "Perception/single/ef5a8caa-6881-4cd3-9d67-83865951280d_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image compression\nB. deadline noise\nC. dead pixel\nD. cloud", "answer": "A,D"}
{"id": "ecd64bfd-a9b0-4da2-a5c8-1603af57fd9c", "image_1": "Perception/single/ecd64bfd-a9b0-4da2-a5c8-1603af57fd9c_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. missing tiles\nB. image stretching\nC. dead pixel\nD. haze", "answer": "A,D"}
{"id": "3bba2a51-2f48-414b-9001-bae89d5211bc", "image_1": "Perception/single/3bba2a51-2f48-414b-9001-bae89d5211bc_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. impulse noise\nB. image compression\nC. color distortion\nD. deadline noise", "answer": "B,C"}
{"id": "f88a6b4f-abbd-4bbd-9660-9eadb513bd38", "image_1": "Perception/single/f88a6b4f-abbd-4bbd-9660-9eadb513bd38_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. deadline noise\nB. spatially correlated noise\nC. image stretching\nD. impulse noise", "answer": "A,C"}
{"id": "1c255090-eb3e-4221-af40-eacdb179eff2", "image_1": "Perception/single/1c255090-eb3e-4221-af40-eacdb179eff2_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. image stretching\nB. color distortion\nC. haze\nD. image compression", "answer": "A,D"}
{"id": "84d58b90-f5d6-4e27-8dfd-427a89a63937", "image_1": "Perception/single/84d58b90-f5d6-4e27-8dfd-427a89a63937_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. motion blur\nB. gaussian blur\nC. cloud\nD. image compression", "answer": "C,D"}
{"id": "11292637-8063-4111-ab15-f000b9d23fd8", "image_1": "Perception/single/11292637-8063-4111-ab15-f000b9d23fd8_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. impulse noise\nB. color distortion\nC. image compression\nD. missing tiles", "answer": "B,C"}
{"id": "cbbb1ad1-b607-4590-9d02-87db46f74246", "image_1": "Perception/single/cbbb1ad1-b607-4590-9d02-87db46f74246_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image stretching\nB. deadline noise\nC. dead pixel\nD. missing tiles", "answer": "A,C"}
{"id": "08e73781-1b14-48f8-8b66-c16b270bbd56", "image_1": "Perception/single/08e73781-1b14-48f8-8b66-c16b270bbd56_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. spatially correlated noise\nB. gaussian blur\nC. haze\nD. color distortion", "answer": "B,C"}
{"id": "3903dabc-5e86-4263-883b-a89e851b0a03", "image_1": "Perception/single/3903dabc-5e86-4263-883b-a89e851b0a03_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. cloud\nB. color distortion\nC. deadline noise\nD. impulse noise", "answer": "A,B"}
{"id": "1436054a-fef1-4cd7-bda6-4ff23b566f8a", "image_1": "Perception/single/1436054a-fef1-4cd7-bda6-4ff23b566f8a_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. image compression\nB. dead pixel\nC. spatially correlated noise\nD. gaussian blur", "answer": "B,D"}
{"id": "1d585fb8-b28e-4d82-91b4-85168feec9d1", "image_1": "Perception/single/1d585fb8-b28e-4d82-91b4-85168feec9d1_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. spatially correlated noise\nB. image stretching\nC. color distortion\nD. gaussian noise", "answer": "A,C"}
{"id": "3aa80713-2dd6-4ee0-a9be-cc04bad31596", "image_1": "Perception/single/3aa80713-2dd6-4ee0-a9be-cc04bad31596_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. image stretching\nB. missing tiles\nC. cloud\nD. color distortion", "answer": "A,C"}
{"id": "3603f84b-0947-4add-9462-f5288bdb822c", "image_1": "Perception/single/3603f84b-0947-4add-9462-f5288bdb822c_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian blur\nB. missing tiles\nC. cloud\nD. impulse noise", "answer": "B,C"}
{"id": "a5bba364-c626-40e8-822a-ebe2304afb92", "image_1": "Perception/single/a5bba364-c626-40e8-822a-ebe2304afb92_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. color distortion\nB. impulse noise\nC. spatially correlated noise\nD. deadline noise", "answer": "A,C"}
{"id": "56df8c32-7bd7-469e-8a03-5f57cca45b5e", "image_1": "Perception/single/56df8c32-7bd7-469e-8a03-5f57cca45b5e_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. impulse noise\nB. gaussian blur\nC. image stretching\nD. cloud", "answer": "A,B"}
{"id": "3dcb46d5-2e52-4dbb-a980-c9bb39045068", "image_1": "Perception/single/3dcb46d5-2e52-4dbb-a980-c9bb39045068_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. image compression\nB. image stretching\nC. gaussian blur\nD. spatially correlated noise", "answer": "A,C"}
{"id": "6fc01d83-6a65-4800-b8b2-5d88ee7d9c58", "image_1": "Perception/single/6fc01d83-6a65-4800-b8b2-5d88ee7d9c58_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. image compression\nB. haze\nC. color distortion\nD. dead pixel", "answer": "A,C"}
{"id": "a1d5e0eb-5686-47af-af55-4852e3f0665b", "image_1": "Perception/single/a1d5e0eb-5686-47af-af55-4852e3f0665b_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. dead pixel\nB. gaussian blur\nC. impulse noise\nD. cloud", "answer": "A,B"}
{"id": "b165abf0-d608-4f9b-9063-0a728b4b77ae", "image_1": "Perception/single/b165abf0-d608-4f9b-9063-0a728b4b77ae_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. gaussian blur\nB. color distortion\nC. dead pixel\nD. deadline noise", "answer": "B,C"}
{"id": "a7f04599-2546-4f0a-9f4e-fb2f331b502b", "image_1": "Perception/single/a7f04599-2546-4f0a-9f4e-fb2f331b502b_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. haze\nB. color distortion\nC. image stretching\nD. spatially correlated noise", "answer": "A,C"}
{"id": "4d21b03f-78f6-454d-80c2-bc242132ec01", "image_1": "Perception/single/4d21b03f-78f6-454d-80c2-bc242132ec01_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. image compression\nB. image stretching\nC. gaussian noise\nD. gaussian blur", "answer": "A,B"}
{"id": "5e3bf278-975d-46cf-847d-420bc59e17a9", "image_1": "Perception/single/5e3bf278-975d-46cf-847d-420bc59e17a9_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. image compression\nB. spatially correlated noise\nC. dead pixel\nD. stripe noise", "answer": "B,C"}
{"id": "4eeb052d-02ff-43f2-9df6-5cd4f31ca6eb", "image_1": "Perception/single/4eeb052d-02ff-43f2-9df6-5cd4f31ca6eb_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian blur\nB. deadline noise\nC. missing tiles\nD. gaussian noise", "answer": "A,D"}
{"id": "68e1b71e-6e0b-460f-b019-05aab390e22c", "image_1": "Perception/single/68e1b71e-6e0b-460f-b019-05aab390e22c_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian noise\nB. cloud\nC. color distortion\nD. dead pixel", "answer": "C,D"}
{"id": "6fa53b13-9a94-44e2-bbfa-4e8fa6d07220", "image_1": "Perception/single/6fa53b13-9a94-44e2-bbfa-4e8fa6d07220_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. dead pixel\nB. impulse noise\nC. gaussian noise\nD. cloud", "answer": "A,B"}
{"id": "07c2f85b-9711-42b8-8ed3-5c2ed3f84201", "image_1": "Perception/single/07c2f85b-9711-42b8-8ed3-5c2ed3f84201_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. stripe noise\nB. gaussian blur\nC. motion blur\nD. impulse noise", "answer": "B,D"}
{"id": "7957aaa7-89ce-4d10-ab97-d095978ebcc3", "image_1": "Perception/single/7957aaa7-89ce-4d10-ab97-d095978ebcc3_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. gaussian blur\nB. image compression\nC. haze\nD. spatially correlated noise", "answer": "A,C"}
{"id": "9e58b31c-7a70-4acd-851e-9d33a60e8ed4", "image_1": "Perception/single/9e58b31c-7a70-4acd-851e-9d33a60e8ed4_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. motion blur\nB. missing tiles\nC. dead pixel\nD. gaussian blur", "answer": "C,D"}
{"id": "d1f1e559-b6d0-4670-ba77-327808469bb0", "image_1": "Perception/single/d1f1e559-b6d0-4670-ba77-327808469bb0_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. haze\nB. color distortion\nC. image compression\nD. dead pixel", "answer": "A,C"}
{"id": "77c6d9ba-ab01-4035-82aa-a4cd5e57888f", "image_1": "Perception/single/77c6d9ba-ab01-4035-82aa-a4cd5e57888f_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. gaussian blur\nB. dead pixel\nC. spatially correlated noise\nD. motion blur", "answer": "A,B"}
{"id": "fee96e03-c1dd-4fe0-a7a7-7f6ffb3da8da", "image_1": "Perception/single/fee96e03-c1dd-4fe0-a7a7-7f6ffb3da8da_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian noise\nB. missing tiles\nC. impulse noise\nD. dead pixel", "answer": "A,D"}
{"id": "708ef307-fbf4-4d7b-a515-6dd38c39fba8", "image_1": "Perception/single/708ef307-fbf4-4d7b-a515-6dd38c39fba8_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. gaussian blur\nB. missing tiles\nC. image stretching\nD. deadline noise", "answer": "A,C"}
{"id": "4a851eba-6598-4c5d-bed4-cc2aad946ec9", "image_1": "Perception/single/4a851eba-6598-4c5d-bed4-cc2aad946ec9_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image compression\nB. image stretching\nC. haze\nD. missing tiles", "answer": "C,D"}
{"id": "d88d1e25-3912-46b0-b7d8-05f276e61857", "image_1": "Perception/single/d88d1e25-3912-46b0-b7d8-05f276e61857_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. deadline noise\nB. spatially correlated noise\nC. haze\nD. image compression", "answer": "C,D"}
{"id": "01029445-7820-4944-bfea-1fb74bd7078f", "image_1": "Perception/single/01029445-7820-4944-bfea-1fb74bd7078f_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. dead pixel\nB. color distortion\nC. gaussian noise\nD. gaussian blur", "answer": "B,C"}
{"id": "fd28e4e1-646d-4e76-9b4d-70a68333755f", "image_1": "Perception/single/fd28e4e1-646d-4e76-9b4d-70a68333755f_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. image compression\nB. gaussian blur\nC. motion blur\nD. dead pixel", "answer": "C,D"}
{"id": "1f845647-0b9e-4ae5-970c-7226ad98a9a7", "image_1": "Perception/single/1f845647-0b9e-4ae5-970c-7226ad98a9a7_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. color distortion\nB. dead pixel\nC. motion blur\nD. deadline noise", "answer": "A,C"}
{"id": "ee51dc1e-4c17-424b-a51c-e1d6092434e9", "image_1": "Perception/single/ee51dc1e-4c17-424b-a51c-e1d6092434e9_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. spatially correlated noise\nB. dead pixel\nC. deadline noise\nD. motion blur", "answer": "A,D"}
{"id": "3acdbe6b-6b05-4fd0-872d-0f419ae47616", "image_1": "Perception/single/3acdbe6b-6b05-4fd0-872d-0f419ae47616_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. dead pixel\nB. spatially correlated noise\nC. cloud\nD. image stretching", "answer": "A,D"}
{"id": "6828689e-3e21-4b71-a683-c42181984b2f", "image_1": "Perception/single/6828689e-3e21-4b71-a683-c42181984b2f_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. color distortion\nB. spatially correlated noise\nC. deadline noise\nD. gaussian blur", "answer": "A,B"}
{"id": "1f86864f-5c42-4716-a9e7-69450393cb44", "image_1": "Perception/single/1f86864f-5c42-4716-a9e7-69450393cb44_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. gaussian blur\nB. dead pixel\nC. deadline noise\nD. haze", "answer": "B,D"}
{"id": "36f8b1f3-20c6-4853-ae2c-14609f3781b6", "image_1": "Perception/single/36f8b1f3-20c6-4853-ae2c-14609f3781b6_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. dead pixel\nB. haze\nC. gaussian blur\nD. stripe noise", "answer": "A,B"}
{"id": "926d5768-6be9-4cb1-b3fb-a0f214831830", "image_1": "Perception/single/926d5768-6be9-4cb1-b3fb-a0f214831830_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. dead pixel\nB. image stretching\nC. cloud\nD. spatially correlated noise", "answer": "A,B"}
{"id": "158c99ed-13bd-48b4-a768-634873416bbf", "image_1": "Perception/single/158c99ed-13bd-48b4-a768-634873416bbf_0.png", "image_2": null, "question": "Select all types of distortions affecting this image.\nA. deadline noise\nB. image stretching\nC. gaussian noise\nD. dead pixel", "answer": "A,D"}
{"id": "af5381d8-8fab-429e-bba2-af996a5d3337", "image_1": "Perception/single/af5381d8-8fab-429e-bba2-af996a5d3337_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. color distortion\nB. impulse noise\nC. dead pixel\nD. cloud", "answer": "A,D"}
{"id": "8bd8319a-83be-4ed2-aa16-9e89e83da761", "image_1": "Perception/single/8bd8319a-83be-4ed2-aa16-9e89e83da761_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. motion blur\nB. image stretching\nC. deadline noise\nD. gaussian noise", "answer": "A,B"}
{"id": "07d98701-288d-46c4-816e-f08bafd3fa24", "image_1": "Perception/single/07d98701-288d-46c4-816e-f08bafd3fa24_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. deadline noise\nB. image stretching\nC. image compression\nD. cloud", "answer": "B,C"}
{"id": "0c7af12a-577c-4e7d-889b-8a7ee7b9c1df", "image_1": "Perception/single/0c7af12a-577c-4e7d-889b-8a7ee7b9c1df_0.png", "image_2": null, "question": "Which of the following distortions are present in this image? (Select all that apply)\nA. dead pixel\nB. image stretching\nC. color distortion\nD. impulse noise", "answer": "B,D"}
{"id": "05dc77bd-6050-446d-92b5-3488f4a4db0a", "image_1": "Description/paired/05dc77bd-6050-446d-92b5-3488f4a4db0a_0.png", "image_2": "Description/paired/05dc77bd-6050-446d-92b5-3488f4a4db0a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains severe Gaussian blur artifacts, making the details appear smudged and less distinct. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "d6aea129-b13d-4649-9357-e84a9e14b682", "image_1": "Description/paired/d6aea129-b13d-4649-9357-e84a9e14b682_0.png", "image_2": "Description/paired/d6aea129-b13d-4649-9357-e84a9e14b682_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate Gaussian blur artifacts, making the details appear softer and less distinct. Image 2 shows no observable distortions and maintains sharpness and clarity throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and clearer details."}
{"id": "53c24466-1ad3-479c-a623-4a07b57f6de9", "image_1": "Description/paired/53c24466-1ad3-479c-a623-4a07b57f6de9_0.png", "image_2": "Description/paired/53c24466-1ad3-479c-a623-4a07b57f6de9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong Gaussian blur artifacts, resulting in a loss of sharpness and detail, making the features appear smeared and indistinct. Image 2 has no observable distortions and maintains clear and well-defined features. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "e4bbc3a9-e2cd-4881-8561-63c14175a9f2", "image_1": "Description/paired/e4bbc3a9-e2cd-4881-8561-63c14175a9f2_0.png", "image_2": "Description/paired/e4bbc3a9-e2cd-4881-8561-63c14175a9f2_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate Gaussian blur artifacts, making the details appear softer and less distinct. Image 2 shows no observable distortions and maintains clear and sharp details. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "44e598f9-b2bf-487d-95fa-694b600ca632", "image_1": "Description/paired/44e598f9-b2bf-487d-95fa-694b600ca632_0.png", "image_2": "Description/paired/44e598f9-b2bf-487d-95fa-694b600ca632_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate gaussian blur artifacts, resulting in a loss of sharpness and detail, making features appear smoothed and less distinct. Image 2 has no observable distortions and maintains clear, sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "49bcdbc7-58b8-4361-bcff-22cacec8bc25", "image_1": "Description/paired/49bcdbc7-58b8-4361-bcff-22cacec8bc25_0.png", "image_2": "Description/paired/49bcdbc7-58b8-4361-bcff-22cacec8bc25_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains moderate Gaussian blur artifacts, making the details appear softer and less defined. Image 1 has higher overall quality due to its sharpness and lack of distortions compared to the blurred appearance of Image 2."}
{"id": "8706db9c-4a82-474b-8a5b-2deed6a3d904", "image_1": "Description/paired/8706db9c-4a82-474b-8a5b-2deed6a3d904_0.png", "image_2": "Description/paired/8706db9c-4a82-474b-8a5b-2deed6a3d904_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate Gaussian blur artifacts, making the details appear soft and less defined. Image 2 shows no observable distortions and maintains clear and sharp details. Therefore, Image 2 has higher overall quality due to its lack of distortions and better-defined features."}
{"id": "56d4e57e-24eb-4289-9531-92cba3b115f4", "image_1": "Description/paired/56d4e57e-24eb-4289-9531-92cba3b115f4_0.png", "image_2": "Description/paired/56d4e57e-24eb-4289-9531-92cba3b115f4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and sharp with well-defined details. Image 2 exhibits moderate Gaussian blur, resulting in a noticeable loss of sharpness and reduced clarity in fine details. Image 1 has higher overall quality because it retains sharper and more detailed visual information compared to the blurred appearance of Image 2."}
{"id": "21a5b8f7-d2b8-4a38-8571-ac7a114b6e57", "image_1": "Description/paired/21a5b8f7-d2b8-4a38-8571-ac7a114b6e57_0.png", "image_2": "Description/paired/21a5b8f7-d2b8-4a38-8571-ac7a114b6e57_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate gaussian blur artifacts, resulting in a loss of sharpness and detail, making the features appear smoothed and less distinct. Image 2 shows no observable distortions and maintains clear, sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "4d9b1430-a5d3-453d-b6c1-4ea1b875411b", "image_1": "Description/paired/4d9b1430-a5d3-453d-b6c1-4ea1b875411b_0.png", "image_2": "Description/paired/4d9b1430-a5d3-453d-b6c1-4ea1b875411b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong Gaussian blur artifacts, making the details appear smeared and less distinct. Image 2 shows no observable distortions, with clear and sharp details throughout the image. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "0145f47d-a57e-4da1-940c-2ded0562df4f", "image_1": "Description/paired/0145f47d-a57e-4da1-940c-2ded0562df4f_0.png", "image_2": "Description/paired/0145f47d-a57e-4da1-940c-2ded0562df4f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and sharp, with well-defined edges and details. Image 2 exhibits moderate Gaussian blur, resulting in softened edges and reduced clarity in fine details. Therefore, Image 1 has higher overall quality due to its sharper and more detailed appearance compared to the blurred Image 2."}
{"id": "4f5c0117-bcca-4d8f-bd1a-934c198c10e5", "image_1": "Description/paired/4f5c0117-bcca-4d8f-bd1a-934c198c10e5_0.png", "image_2": "Description/paired/4f5c0117-bcca-4d8f-bd1a-934c198c10e5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong Gaussian blur artifacts, making the details appear smeared and less distinct. Image 2 shows no observable distortions and maintains clear and sharp details. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "5c5e8e93-36a9-476b-93b5-6a551765a29d", "image_1": "Description/paired/5c5e8e93-36a9-476b-93b5-6a551765a29d_0.png", "image_2": "Description/paired/5c5e8e93-36a9-476b-93b5-6a551765a29d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe Gaussian blur artifacts, resulting in a lack of sharpness and detail, making the terrain features appear smeared and indistinct. Image 2 shows no observable distortions and maintains clear, sharp details of the terrain. Therefore, Image 2 has higher overall quality due to its clarity and absence of distortions."}
{"id": "5ca607c9-164d-4cee-aaeb-8e7b71da359a", "image_1": "Description/paired/5ca607c9-164d-4cee-aaeb-8e7b71da359a_0.png", "image_2": "Description/paired/5ca607c9-164d-4cee-aaeb-8e7b71da359a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and sharp, serving as a high-quality reference. Image 2 exhibits strong Gaussian blur artifacts, resulting in a noticeable loss of detail and reduced clarity across the image. Image 1 has higher overall quality because it retains sharpness and detail, unlike the blurred Image 2."}
{"id": "6317e4d6-6267-4963-8e8b-b53502c048c0", "image_1": "Description/paired/6317e4d6-6267-4963-8e8b-b53502c048c0_0.png", "image_2": "Description/paired/6317e4d6-6267-4963-8e8b-b53502c048c0_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe Gaussian blur artifacts, resulting in a significant loss of detail and sharpness, making features such as buildings and roads appear smeared and indistinct. Image 2 has no observable distortions and maintains clear, sharp details throughout the scene. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "bc0f3cf5-c21d-4fb2-b6b8-3ce6e7559bba", "image_1": "Description/paired/bc0f3cf5-c21d-4fb2-b6b8-3ce6e7559bba_0.png", "image_2": "Description/paired/bc0f3cf5-c21d-4fb2-b6b8-3ce6e7559bba_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually sharp and clear. Image 2 contains strong Gaussian blur artifacts, making the details appear smeared and less distinct. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "8f4ffb38-cabf-4c9e-bbd4-85d0eae1ab63", "image_1": "Description/paired/8f4ffb38-cabf-4c9e-bbd4-85d0eae1ab63_0.png", "image_2": "Description/paired/8f4ffb38-cabf-4c9e-bbd4-85d0eae1ab63_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate Gaussian blur artifacts, resulting in a loss of sharpness and detail, making features appear smeared and less distinct. Image 2 shows no observable distortions and maintains clear, sharp details throughout the scene. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "573bec75-efa8-4971-9b29-9ee17f1f79ff", "image_1": "Description/paired/573bec75-efa8-4971-9b29-9ee17f1f79ff_0.png", "image_2": "Description/paired/573bec75-efa8-4971-9b29-9ee17f1f79ff_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually sharp and detailed. Image 2 contains moderate Gaussian blur artifacts, making it appear less sharp and more smeared compared to Image 1. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "52d070bf-cee7-409d-ab41-7c712d283d32", "image_1": "Description/paired/52d070bf-cee7-409d-ab41-7c712d283d32_0.png", "image_2": "Description/paired/52d070bf-cee7-409d-ab41-7c712d283d32_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate Gaussian blur artifacts, resulting in a lack of sharpness and detail, making the terrain features appear smudged and less distinct. Image 2 shows no observable distortions and maintains clear, sharp details of the terrain features. Therefore, Image 2 has higher overall quality due to its clarity and lack of visual distortions."}
{"id": "dff775df-1cfc-4373-90d2-7e59107cf579", "image_1": "Description/paired/dff775df-1cfc-4373-90d2-7e59107cf579_0.png", "image_2": "Description/paired/dff775df-1cfc-4373-90d2-7e59107cf579_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate Gaussian blur artifacts, resulting in a loss of sharpness and detail, making the features appear smoothed out and less defined. Image 2 shows no observable distortions, with clear and well-defined features and textures. Therefore, Image 2 has higher overall quality due to its sharpness and lack of distortions compared to the blurred appearance of Image 1."}
{"id": "c6f81b8b-ed6d-4a2c-bb34-ae8706008a9e", "image_1": "Description/paired/c6f81b8b-ed6d-4a2c-bb34-ae8706008a9e_0.png", "image_2": "Description/paired/c6f81b8b-ed6d-4a2c-bb34-ae8706008a9e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clear and detailed. Image 2 contains severe Gaussian blur artifacts, making the image appear soft and lacking in detail. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "ad35226c-46ae-474e-9a15-e405578217d1", "image_1": "Description/paired/ad35226c-46ae-474e-9a15-e405578217d1_0.png", "image_2": "Description/paired/ad35226c-46ae-474e-9a15-e405578217d1_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe Gaussian blur artifacts, resulting in a lack of sharpness and detail, making features such as roads and buildings indistinct. Image 2 shows no observable distortions, with clear and detailed visual representation of the terrain and structures. Therefore, Image 2 has higher overall quality due to its sharpness and clarity compared to the blurred appearance of Image 1."}
{"id": "f647fa13-ab5e-44ff-937a-00bff30c4604", "image_1": "Description/paired/f647fa13-ab5e-44ff-937a-00bff30c4604_0.png", "image_2": "Description/paired/f647fa13-ab5e-44ff-937a-00bff30c4604_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clear and detailed. Image 2 contains severe Gaussian blur artifacts, making the image appear significantly out of focus and lacking in detail. Therefore, Image 1 has higher overall quality due to its clarity and absence of distortions."}
{"id": "0018efb4-7084-4b16-a470-d6dd68a5f59e", "image_1": "Description/paired/0018efb4-7084-4b16-a470-d6dd68a5f59e_0.png", "image_2": "Description/paired/0018efb4-7084-4b16-a470-d6dd68a5f59e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clear and detailed. Image 2 contains strong Gaussian blur artifacts, making the image appear significantly less sharp and details indistinct. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions compared to the blurred appearance of Image 2."}
{"id": "5b416e6c-b600-4f5b-b88f-bcd4137348e5", "image_1": "Description/paired/5b416e6c-b600-4f5b-b88f-bcd4137348e5_0.png", "image_2": "Description/paired/5b416e6c-b600-4f5b-b88f-bcd4137348e5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clear and sharp. Image 2 contains strong Gaussian blur artifacts, making the details appear smeared and less distinct. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "a4839603-1cc6-480f-ad2a-ab9959dc1559", "image_1": "Description/paired/a4839603-1cc6-480f-ad2a-ab9959dc1559_0.png", "image_2": "Description/paired/a4839603-1cc6-480f-ad2a-ab9959dc1559_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains severe Gaussian blur artifacts, making the details appear soft and indistinct. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "ae4f75ec-0d37-48bf-8ed5-6dab1ce5e63b", "image_1": "Description/paired/ae4f75ec-0d37-48bf-8ed5-6dab1ce5e63b_0.png", "image_2": "Description/paired/ae4f75ec-0d37-48bf-8ed5-6dab1ce5e63b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually sharp and clear. Image 2 contains severe Gaussian blur artifacts, making the details appear smeared and the overall image look out of focus. Image 1 has higher overall quality because it is free from distortions and maintains clear and sharp details."}
{"id": "29d4cd18-597c-41fb-9bab-b388e1d28f55", "image_1": "Description/paired/29d4cd18-597c-41fb-9bab-b388e1d28f55_0.png", "image_2": "Description/paired/29d4cd18-597c-41fb-9bab-b388e1d28f55_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually sharp and clear. Image 2 contains strong Gaussian blur artifacts, making the details appear smeared and less distinct. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "8a099cf4-4e1a-46e4-8894-e1798bf48b1a", "image_1": "Description/paired/8a099cf4-4e1a-46e4-8894-e1798bf48b1a_0.png", "image_2": "Description/paired/8a099cf4-4e1a-46e4-8894-e1798bf48b1a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually sharp and clear. Image 2 contains severe Gaussian blur artifacts, making the details appear smeared and significantly reducing the overall sharpness. Image 1 has higher overall quality because it is free of distortions and retains clear details."}
{"id": "2aa7e98e-289b-4642-9c92-e328cd7eca37", "image_1": "Description/paired/2aa7e98e-289b-4642-9c92-e328cd7eca37_0.png", "image_2": "Description/paired/2aa7e98e-289b-4642-9c92-e328cd7eca37_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually sharp and clear. Image 2 contains strong Gaussian blur artifacts, making the details appear smeared and less distinct. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "f6358865-f260-4c8f-a4d9-2fb12e940a90", "image_1": "Description/paired/f6358865-f260-4c8f-a4d9-2fb12e940a90_0.png", "image_2": "Description/paired/f6358865-f260-4c8f-a4d9-2fb12e940a90_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and sharp. Image 2 exhibits severe motion blur artifacts, making the image appear smeared and lacking in detail. Therefore, Image 1 has higher overall quality due to its clarity and absence of distortions."}
{"id": "22328592-057e-4e19-8634-b9710f42b118", "image_1": "Description/paired/22328592-057e-4e19-8634-b9710f42b118_0.png", "image_2": "Description/paired/22328592-057e-4e19-8634-b9710f42b118_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and sharp. Image 2 contains severe motion blur artifacts, making the image appear smeared and significantly less detailed. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions compared to the blurred appearance of Image 2."}
{"id": "729db63c-3c9f-4e80-92dd-d791d1a8289f", "image_1": "Description/paired/729db63c-3c9f-4e80-92dd-d791d1a8289f_0.png", "image_2": "Description/paired/729db63c-3c9f-4e80-92dd-d791d1a8289f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate motion blur, evident in the smearing of edges and reduced clarity of fine details, particularly in the vegetation and building structures. Image 2 shows no observable distortions, with sharp edges and well-defined details throughout the scene. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity compared to the blurred Image 1."}
{"id": "e1e03061-63ef-44d8-b42e-b72efbf4126b", "image_1": "Description/paired/e1e03061-63ef-44d8-b42e-b72efbf4126b_0.png", "image_2": "Description/paired/e1e03061-63ef-44d8-b42e-b72efbf4126b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and sharp. Image 2 contains severe motion blur artifacts, making the image appear smeared and significantly reducing the clarity of details. Therefore, Image 1 has higher overall quality due to its lack of distortions and clear visual presentation."}
{"id": "e8d20be0-ee41-41ca-8f1d-31efe172ad64", "image_1": "Description/paired/e8d20be0-ee41-41ca-8f1d-31efe172ad64_0.png", "image_2": "Description/paired/e8d20be0-ee41-41ca-8f1d-31efe172ad64_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains strong motion blur artifacts, making the details appear smeared and less distinct. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "efa28d61-2f29-48bf-b9b5-3d3fc8a820a3", "image_1": "Description/paired/efa28d61-2f29-48bf-b9b5-3d3fc8a820a3_0.png", "image_2": "Description/paired/efa28d61-2f29-48bf-b9b5-3d3fc8a820a3_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains moderate motion blur artifacts, making the details less sharp and the image appear smeared. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "70fad17e-1b85-4933-8951-3bd2f42856bf", "image_1": "Description/paired/70fad17e-1b85-4933-8951-3bd2f42856bf_0.png", "image_2": "Description/paired/70fad17e-1b85-4933-8951-3bd2f42856bf_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe motion blur artifacts, making the details appear smeared and indistinct. Image 2 has no observable distortions and appears clear and sharp. Therefore, Image 2 has higher overall quality due to its lack of distortions and clearer visual details."}
{"id": "967b2aef-2298-4eea-81e6-8cf0d6cefe30", "image_1": "Description/paired/967b2aef-2298-4eea-81e6-8cf0d6cefe30_0.png", "image_2": "Description/paired/967b2aef-2298-4eea-81e6-8cf0d6cefe30_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate motion blur artifacts, which result in a smeared and less defined appearance of the landscape features. Image 2 shows no observable distortions and maintains clear and sharp details of the terrain. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "ae9766e3-896d-438c-8ed5-c0d4276ba3b5", "image_1": "Description/paired/ae9766e3-896d-438c-8ed5-c0d4276ba3b5_0.png", "image_2": "Description/paired/ae9766e3-896d-438c-8ed5-c0d4276ba3b5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and sharp. Image 2 contains severe motion blur artifacts, making the details appear smeared and less distinct. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "5c8197ba-3d01-4403-b8d1-fa6a4629bf51", "image_1": "Description/paired/5c8197ba-3d01-4403-b8d1-fa6a4629bf51_0.png", "image_2": "Description/paired/5c8197ba-3d01-4403-b8d1-fa6a4629bf51_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains strong motion blur artifacts, making the details appear smeared and less distinct. Therefore, Image 1 has higher overall quality due to its clear and undistorted presentation."}
{"id": "88f507df-1dc6-4735-8782-962987da46d9", "image_1": "Description/paired/88f507df-1dc6-4735-8782-962987da46d9_0.png", "image_2": "Description/paired/88f507df-1dc6-4735-8782-962987da46d9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate motion blur artifacts, making the details appear smeared and less distinct. Image 2 has no observable distortions and maintains clear, sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "85ac7f13-5449-40ed-85dd-1918309b7077", "image_1": "Description/paired/85ac7f13-5449-40ed-85dd-1918309b7077_0.png", "image_2": "Description/paired/85ac7f13-5449-40ed-85dd-1918309b7077_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains strong motion blur artifacts, making the details appear smeared and less distinct. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "bc8df7c0-f961-46d5-8562-8f4138aab4b0", "image_1": "Description/paired/bc8df7c0-f961-46d5-8562-8f4138aab4b0_0.png", "image_2": "Description/paired/bc8df7c0-f961-46d5-8562-8f4138aab4b0_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate motion blur, visible as a smearing effect that reduces the sharpness of edges and fine details, particularly around structures and vegetation. Image 2 shows no observable distortions, with clear and well-defined edges and details throughout the scene. Image 2 has higher overall quality because it is free of distortions and provides sharper and more accurate visual information compared to the blurred Image 1."}
{"id": "c5677262-a339-48ee-8831-74bb19b89019", "image_1": "Description/paired/c5677262-a339-48ee-8831-74bb19b89019_0.png", "image_2": "Description/paired/c5677262-a339-48ee-8831-74bb19b89019_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains severe motion blur artifacts, making the image appear smeared and details indistinct. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "50b6bbe3-0832-4db1-8c44-5f7a6bd59d15", "image_1": "Description/paired/50b6bbe3-0832-4db1-8c44-5f7a6bd59d15_0.png", "image_2": "Description/paired/50b6bbe3-0832-4db1-8c44-5f7a6bd59d15_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean, sharp, and free of artifacts. Image 2 exhibits severe motion blur, causing significant loss of detail and smearing across the entire image. Image 1 has higher overall quality due to its clarity and lack of distortions compared to the heavily degraded Image 2."}
{"id": "418ad042-e92f-47b3-be2c-e38ffe90ebbf", "image_1": "Description/paired/418ad042-e92f-47b3-be2c-e38ffe90ebbf_0.png", "image_2": "Description/paired/418ad042-e92f-47b3-be2c-e38ffe90ebbf_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains moderate motion blur artifacts, making the details appear smeared and less distinct. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual details."}
{"id": "4b0dfc31-a38c-4bae-864a-c90e8d26defd", "image_1": "Description/paired/4b0dfc31-a38c-4bae-864a-c90e8d26defd_0.png", "image_2": "Description/paired/4b0dfc31-a38c-4bae-864a-c90e8d26defd_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong motion blur artifacts, making the details appear smeared and reducing the overall sharpness and clarity. Image 2 shows no observable distortions and maintains clear and sharp details throughout the scene. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "ca211b9c-4596-4461-8b33-d58ae297b180", "image_1": "Description/paired/ca211b9c-4596-4461-8b33-d58ae297b180_0.png", "image_2": "Description/paired/ca211b9c-4596-4461-8b33-d58ae297b180_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate motion blur artifacts, which manifest as streaks and a lack of sharpness, making the terrain details appear smeared and less distinct. Image 2 shows no observable distortions, with clear and sharp details of the terrain and features. Therefore, Image 2 has higher overall quality due to its clarity and absence of motion blur."}
{"id": "7f63c34f-39f8-4ca1-9d80-0de15f7bf000", "image_1": "Description/paired/7f63c34f-39f8-4ca1-9d80-0de15f7bf000_0.png", "image_2": "Description/paired/7f63c34f-39f8-4ca1-9d80-0de15f7bf000_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate motion blur artifacts, which manifest as a noticeable smearing effect that reduces the sharpness and clarity of the features within the image. Image 2 shows no observable distortions and maintains clear and well-defined details throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "b8b36f70-37bd-4c31-a00f-3c7951dfd8e6", "image_1": "Description/paired/b8b36f70-37bd-4c31-a00f-3c7951dfd8e6_0.png", "image_2": "Description/paired/b8b36f70-37bd-4c31-a00f-3c7951dfd8e6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains severe motion blur artifacts, making the details appear smeared and unclear. Image 1 has higher overall quality because it is free from distortions and maintains clear and sharp details."}
{"id": "715dfda8-0ced-4395-9705-da88000eb4f5", "image_1": "Description/paired/715dfda8-0ced-4395-9705-da88000eb4f5_0.png", "image_2": "Description/paired/715dfda8-0ced-4395-9705-da88000eb4f5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains moderate motion blur artifacts, which manifest as streaks and a lack of sharpness in the image. Therefore, Image 1 has higher overall quality due to its clarity and absence of distortions."}
{"id": "11d4e07a-4a26-4f80-87d1-86f365307345", "image_1": "Description/paired/11d4e07a-4a26-4f80-87d1-86f365307345_0.png", "image_2": "Description/paired/11d4e07a-4a26-4f80-87d1-86f365307345_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe motion blur artifacts, resulting in a smeared and unclear depiction of the terrain, making it difficult to discern specific features. Image 2 shows no observable distortions and presents a clear, sharp, and detailed view of the landscape. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "3130a585-8236-441a-b5ed-46f8bde21605", "image_1": "Description/paired/3130a585-8236-441a-b5ed-46f8bde21605_0.png", "image_2": "Description/paired/3130a585-8236-441a-b5ed-46f8bde21605_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe motion blur artifacts, which manifest as streaks and a lack of sharpness, making the image appear smeared and unclear. Therefore, Image 1 has higher overall quality due to its clarity and absence of distortions."}
{"id": "149cdc4b-25b9-4526-8bd5-b4142f1f7874", "image_1": "Description/paired/149cdc4b-25b9-4526-8bd5-b4142f1f7874_0.png", "image_2": "Description/paired/149cdc4b-25b9-4526-8bd5-b4142f1f7874_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains strong motion blur artifacts, making the image appear smeared and significantly less detailed. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "83dc4594-c602-464a-abe2-6046491511dc", "image_1": "Description/paired/83dc4594-c602-464a-abe2-6046491511dc_0.png", "image_2": "Description/paired/83dc4594-c602-464a-abe2-6046491511dc_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe motion blur artifacts, making the details appear smeared and indistinct. Image 2 shows no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "b7a0608d-9744-466a-9300-7aa57332a1bf", "image_1": "Description/paired/b7a0608d-9744-466a-9300-7aa57332a1bf_0.png", "image_2": "Description/paired/b7a0608d-9744-466a-9300-7aa57332a1bf_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe motion blur artifacts, causing the details to appear smeared and the overall image to lack sharpness. Image 2 shows no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "47f3bf71-2498-4a1a-a564-5598bcbc7f94", "image_1": "Description/paired/47f3bf71-2498-4a1a-a564-5598bcbc7f94_0.png", "image_2": "Description/paired/47f3bf71-2498-4a1a-a564-5598bcbc7f94_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong motion blur artifacts, making the details appear smeared and the overall image look unfocused. Image 2 has no observable distortions and appears clear and detailed. Therefore, Image 2 has higher overall quality due to its lack of distortions and better clarity."}
{"id": "8c076647-fdfa-4077-b830-b0871882be7d", "image_1": "Description/paired/8c076647-fdfa-4077-b830-b0871882be7d_0.png", "image_2": "Description/paired/8c076647-fdfa-4077-b830-b0871882be7d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe motion blur artifacts, resulting in a smeared and unclear visual representation of the terrain. Image 2 shows no observable distortions and maintains clear and sharp details of the landscape. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "d49f8eb9-0c95-4db4-b5d8-3aebcccc9f25", "image_1": "Description/paired/d49f8eb9-0c95-4db4-b5d8-3aebcccc9f25_0.png", "image_2": "Description/paired/d49f8eb9-0c95-4db4-b5d8-3aebcccc9f25_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong motion blur artifacts, making the features appear smeared and reducing the overall sharpness and clarity. Image 2 shows no observable distortions and maintains clear and well-defined features. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "a31d665d-8dad-4660-b6bd-834fdc01bfe1", "image_1": "Description/paired/a31d665d-8dad-4660-b6bd-834fdc01bfe1_0.png", "image_2": "Description/paired/a31d665d-8dad-4660-b6bd-834fdc01bfe1_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clear and detailed. Image 2 contains strong motion blur artifacts, making the terrain features appear smeared and less distinct. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "bf5c74b5-91f0-4a3b-b1fe-da6c5bf2ba7a", "image_1": "Description/paired/bf5c74b5-91f0-4a3b-b1fe-da6c5bf2ba7a_0.png", "image_2": "Description/paired/bf5c74b5-91f0-4a3b-b1fe-da6c5bf2ba7a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate haze artifacts, making the image appear slightly blurred and less distinct. Image 2 has no observable distortions and appears clear and sharp. Therefore, Image 2 has higher overall quality due to its clarity and lack of haze artifacts."}
{"id": "ebd2ffc4-679a-4ade-a706-a874af5f5ba3", "image_1": "Description/paired/ebd2ffc4-679a-4ade-a706-a874af5f5ba3_0.png", "image_2": "Description/paired/ebd2ffc4-679a-4ade-a706-a874af5f5ba3_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clear and sharp. Image 2 contains moderate haze artifacts, making it appear washed out and less distinct. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "4bd6356b-bba8-4e24-aefe-467a2219d08a", "image_1": "Description/paired/4bd6356b-bba8-4e24-aefe-467a2219d08a_0.png", "image_2": "Description/paired/4bd6356b-bba8-4e24-aefe-467a2219d08a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality. Image 2 contains strong haze artifacts, which reduce contrast and obscure fine details, giving the image a washed-out appearance. Image 1 has higher overall quality because it is free of distortions, while Image 2 is degraded by significant haze."}
{"id": "8b84beaa-7663-4339-8a89-b74b58bf308d", "image_1": "Description/paired/8b84beaa-7663-4339-8a89-b74b58bf308d_0.png", "image_2": "Description/paired/8b84beaa-7663-4339-8a89-b74b58bf308d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains strong haze artifacts, making the image appear washed out and less clear. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "f294d0c8-1b91-4b70-9424-5a12aee2237d", "image_1": "Description/paired/f294d0c8-1b91-4b70-9424-5a12aee2237d_0.png", "image_2": "Description/paired/f294d0c8-1b91-4b70-9424-5a12aee2237d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean with clear details and natural color tones. Image 2 exhibits strong haze artifacts, resulting in a washed-out appearance with reduced contrast and diminished visibility of fine details. Image 1 has higher overall quality because it is free from distortions and maintains better clarity and contrast compared to the hazy Image 2."}
{"id": "ec77e1e4-2fc4-41ec-b061-a040eeb84061", "image_1": "Description/paired/ec77e1e4-2fc4-41ec-b061-a040eeb84061_0.png", "image_2": "Description/paired/ec77e1e4-2fc4-41ec-b061-a040eeb84061_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate haze artifacts, making the scene appear slightly blurred and reducing the visibility of fine details, particularly in vegetation and building structures. Image 2 shows no observable distortions and maintains clear, sharp details throughout the scene. Therefore, Image 2 has higher overall quality due to its lack of haze and superior clarity."}
{"id": "fea1b233-435b-4861-8f7b-aac761e56b19", "image_1": "Description/paired/fea1b233-435b-4861-8f7b-aac761e56b19_0.png", "image_2": "Description/paired/fea1b233-435b-4861-8f7b-aac761e56b19_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate haze artifacts, resulting in a blurred and less distinct appearance of buildings and streets. Image 2 shows no observable distortions and maintains clear, sharp details of the structures and roads. Therefore, Image 2 has higher overall quality due to its clarity and lack of haze artifacts."}
{"id": "473e415a-b0e6-48ae-89de-c1dc53197f0d", "image_1": "Description/paired/473e415a-b0e6-48ae-89de-c1dc53197f0d_0.png", "image_2": "Description/paired/473e415a-b0e6-48ae-89de-c1dc53197f0d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains moderate haze artifacts, which result in a washed-out appearance and reduced contrast. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "57a2de06-ed1c-4743-826d-899f9799c2c4", "image_1": "Description/paired/57a2de06-ed1c-4743-826d-899f9799c2c4_0.png", "image_2": "Description/paired/57a2de06-ed1c-4743-826d-899f9799c2c4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe haze artifacts, resulting in a washed-out appearance with reduced contrast and clarity. Image 2 shows no observable distortions and maintains clear, sharp details with natural color representation. Therefore, Image 2 has higher overall quality due to its lack of haze and superior visual clarity."}
{"id": "fbcea5ed-ac53-41d8-9471-642a5d8f65a9", "image_1": "Description/paired/fbcea5ed-ac53-41d8-9471-642a5d8f65a9_0.png", "image_2": "Description/paired/fbcea5ed-ac53-41d8-9471-642a5d8f65a9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clear and sharp. Image 2 contains strong haze artifacts, making the image appear washed out and significantly reducing visibility and contrast. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "d7624981-b62d-4480-a0b8-7187082aefb6", "image_1": "Description/paired/d7624981-b62d-4480-a0b8-7187082aefb6_0.png", "image_2": "Description/paired/d7624981-b62d-4480-a0b8-7187082aefb6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains severe haze artifacts, making the image appear washed out and significantly reducing visibility and contrast. Therefore, Image 1 has higher overall quality due to its clear and undistorted appearance compared to the hazy and degraded Image 2."}
{"id": "c91ea175-ea1e-4b1e-b426-06712af8551b", "image_1": "Description/paired/c91ea175-ea1e-4b1e-b426-06712af8551b_0.png", "image_2": "Description/paired/c91ea175-ea1e-4b1e-b426-06712af8551b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong haze artifacts, making the image appear washed out and reducing the visibility of details. Image 2 has no observable distortions and maintains clear and distinct details. Therefore, Image 2 has higher overall quality due to its clarity and lack of haze artifacts."}
{"id": "7620b2fc-379f-413a-8ef7-d289207ec691", "image_1": "Description/paired/7620b2fc-379f-413a-8ef7-d289207ec691_0.png", "image_2": "Description/paired/7620b2fc-379f-413a-8ef7-d289207ec691_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe haze artifacts, appearing as a light, foggy overlay that significantly reduces the clarity and visibility of any underlying details. Image 2 has no observable distortions and appears clean and clear with no haze or other artifacts. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "c4fa357d-9f8e-469e-9299-e837aa958987", "image_1": "Description/paired/c4fa357d-9f8e-469e-9299-e837aa958987_0.png", "image_2": "Description/paired/c4fa357d-9f8e-469e-9299-e837aa958987_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe haze artifacts, resulting in a washed-out appearance with significantly reduced contrast and color saturation. Image 2 shows no observable distortions and maintains high contrast and vibrant colors. Therefore, Image 2 has higher overall quality due to its clear and undistorted visual presentation."}
{"id": "02c871f6-deee-4c25-b8fd-90748071a5e4", "image_1": "Description/paired/02c871f6-deee-4c25-b8fd-90748071a5e4_0.png", "image_2": "Description/paired/02c871f6-deee-4c25-b8fd-90748071a5e4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe haze artifacts, making the image appear washed out and significantly reducing visibility and contrast. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions compared to the hazy appearance of Image 2."}
{"id": "89be4a3a-9317-49ca-99fb-9d0f86a7b395", "image_1": "Description/paired/89be4a3a-9317-49ca-99fb-9d0f86a7b395_0.png", "image_2": "Description/paired/89be4a3a-9317-49ca-99fb-9d0f86a7b395_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate haze artifacts, which manifest as a whitish, foggy overlay that reduces the overall clarity and contrast of the terrain features. Image 2 shows no observable distortions and maintains clear, sharp details with high contrast. Therefore, Image 2 has higher overall quality due to its lack of haze and superior visual clarity."}
{"id": "d1d50881-cadd-46aa-9b00-fabc83a66204", "image_1": "Description/paired/d1d50881-cadd-46aa-9b00-fabc83a66204_0.png", "image_2": "Description/paired/d1d50881-cadd-46aa-9b00-fabc83a66204_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains moderate haze artifacts, which manifest as a slight blurriness and reduced contrast, making the details less sharp and clear. Therefore, Image 1 has higher overall quality due to its clarity and absence of distortions."}
{"id": "9ab93fef-8b95-494f-893a-2118d7deed9f", "image_1": "Description/paired/9ab93fef-8b95-494f-893a-2118d7deed9f_0.png", "image_2": "Description/paired/9ab93fef-8b95-494f-893a-2118d7deed9f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong haze artifacts, making the image appear washed out and significantly reducing visibility and contrast. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "a770600f-a1c5-4450-8db1-31d8e7b3610b", "image_1": "Description/paired/a770600f-a1c5-4450-8db1-31d8e7b3610b_0.png", "image_2": "Description/paired/a770600f-a1c5-4450-8db1-31d8e7b3610b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate haze artifacts, which appear as a whitish, foggy layer that reduces the overall clarity and contrast of the image. Image 2 has no observable distortions and maintains clear visibility and high contrast throughout. Therefore, Image 2 has higher overall quality due to its lack of haze and better visual clarity."}
{"id": "81229493-ae95-445b-a32f-36d86d33d136", "image_1": "Description/paired/81229493-ae95-445b-a32f-36d86d33d136_0.png", "image_2": "Description/paired/81229493-ae95-445b-a32f-36d86d33d136_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate haze artifacts, which manifest as a light, diffuse layer that reduces the overall clarity and contrast of the terrain features. Image 2 shows no observable distortions and presents a clear, high-contrast view of the terrain with well-defined features. Therefore, Image 2 has higher overall quality due to its lack of haze and superior clarity."}
{"id": "bb3ac9b3-55a9-479e-8269-e7d6f809b863", "image_1": "Description/paired/bb3ac9b3-55a9-479e-8269-e7d6f809b863_0.png", "image_2": "Description/paired/bb3ac9b3-55a9-479e-8269-e7d6f809b863_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe haze artifacts, making the image appear washed out and significantly reducing visibility and detail. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "93db3b3f-ec41-4ced-b1b1-690e745708d4", "image_1": "Description/paired/93db3b3f-ec41-4ced-b1b1-690e745708d4_0.png", "image_2": "Description/paired/93db3b3f-ec41-4ced-b1b1-690e745708d4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clear and sharp. Image 2 contains severe haze artifacts, making the image appear washed out and significantly reducing visibility and contrast. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "53ecb9ff-3a8e-4cb6-8d35-0681c41879eb", "image_1": "Description/paired/53ecb9ff-3a8e-4cb6-8d35-0681c41879eb_0.png", "image_2": "Description/paired/53ecb9ff-3a8e-4cb6-8d35-0681c41879eb_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe haze artifacts, making the entire scene appear washed out and lacking in contrast and detail. Image 2 has no observable distortions and presents a clear, high-quality view of the terrain with well-defined features. Therefore, Image 2 has higher overall quality due to its clarity and absence of haze artifacts."}
{"id": "b712cae2-baf5-474a-a7ed-5e4ba19c56ab", "image_1": "Description/paired/b712cae2-baf5-474a-a7ed-5e4ba19c56ab_0.png", "image_2": "Description/paired/b712cae2-baf5-474a-a7ed-5e4ba19c56ab_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong haze artifacts, making the image appear washed out and reducing the visibility of ground features. Image 2 has no observable distortions and displays clear and distinct ground details. Therefore, Image 2 has higher overall quality due to its clarity and lack of haze artifacts."}
{"id": "95792f68-e027-4c6d-b244-8960e2cca8d1", "image_1": "Description/paired/95792f68-e027-4c6d-b244-8960e2cca8d1_0.png", "image_2": "Description/paired/95792f68-e027-4c6d-b244-8960e2cca8d1_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong haze artifacts, making the terrain appear washed out and less detailed. Image 2 has no observable distortions and presents clear, detailed features of the terrain. Therefore, Image 2 has higher overall quality due to its clarity and lack of haze artifacts."}
{"id": "09c1ac1f-d7f4-4387-a406-57a5171259c8", "image_1": "Description/paired/09c1ac1f-d7f4-4387-a406-57a5171259c8_0.png", "image_2": "Description/paired/09c1ac1f-d7f4-4387-a406-57a5171259c8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe haze artifacts, which manifest as a whitish, foggy overlay that reduces the visibility of surface details. Therefore, Image 1 has higher overall quality due to the absence of haze and clearer depiction of the terrain."}
{"id": "2b4ae7fe-4513-4acd-8f0e-0ab91d2de501", "image_1": "Description/paired/2b4ae7fe-4513-4acd-8f0e-0ab91d2de501_0.png", "image_2": "Description/paired/2b4ae7fe-4513-4acd-8f0e-0ab91d2de501_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe haze artifacts, making the scene appear washed out and significantly reducing the visibility of surface details. Image 2 shows no observable distortions and presents clear, detailed surface features. Therefore, Image 2 has higher overall quality due to its clarity and lack of haze artifacts."}
{"id": "2afdd67d-1429-4775-98fa-71e3a909a3ca", "image_1": "Description/paired/2afdd67d-1429-4775-98fa-71e3a909a3ca_0.png", "image_2": "Description/paired/2afdd67d-1429-4775-98fa-71e3a909a3ca_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong haze artifacts, appearing as a whitish, semi-transparent layer that reduces the overall contrast and clarity of the terrain features. Image 2 has no observable distortions and displays clear, well-defined terrain features with natural color balance. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "deaedc25-256f-41fd-8783-dca389e62b8f", "image_1": "Description/paired/deaedc25-256f-41fd-8783-dca389e62b8f_0.png", "image_2": "Description/paired/deaedc25-256f-41fd-8783-dca389e62b8f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe haze artifacts, resulting in a washed-out appearance and reduced contrast, making it difficult to discern finer details. Image 2 shows no observable distortions and maintains clear visibility with better contrast and color fidelity. Therefore, Image 2 has higher overall quality due to its clarity and lack of haze artifacts."}
{"id": "b9a73d96-1f25-40f6-89b0-1a4f76f913cf", "image_1": "Description/paired/b9a73d96-1f25-40f6-89b0-1a4f76f913cf_0.png", "image_2": "Description/paired/b9a73d96-1f25-40f6-89b0-1a4f76f913cf_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong haze artifacts, which manifest as a whitish, translucent layer that reduces the overall contrast and clarity of the image. Therefore, Image 1 has higher overall quality due to the absence of distortions and the presence of clear, sharp details."}
{"id": "519f7d88-d570-45d1-aa3c-8b379a4abf0d", "image_1": "Description/paired/519f7d88-d570-45d1-aa3c-8b379a4abf0d_0.png", "image_2": "Description/paired/519f7d88-d570-45d1-aa3c-8b379a4abf0d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong cloud artifacts that obscure significant portions of the image, making it difficult to discern details. Image 2 has no observable distortions and presents a clear view of the area. Therefore, Image 2 has higher overall quality due to its clarity and lack of obstructions."}
{"id": "7d96eead-95fb-4541-a7bc-e5053c374115", "image_1": "Description/paired/7d96eead-95fb-4541-a7bc-e5053c374115_0.png", "image_2": "Description/paired/7d96eead-95fb-4541-a7bc-e5053c374115_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe cloud artifacts, with large, opaque cloud formations obscuring significant portions of the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions compared to the cloud-obscured Image 2."}
{"id": "caf48b08-0309-4b08-a372-1e88083f5246", "image_1": "Description/paired/caf48b08-0309-4b08-a372-1e88083f5246_0.png", "image_2": "Description/paired/caf48b08-0309-4b08-a372-1e88083f5246_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate cloud artifacts that appear as white, blurry patches obscuring parts of the scene. Image 2 has no observable distortions and appears clear and sharp. Therefore, Image 2 has higher overall quality due to the absence of cloud artifacts and better visual clarity."}
{"id": "ce1b5e38-5366-4a7a-9f8e-3aac96175c3c", "image_1": "Description/paired/ce1b5e38-5366-4a7a-9f8e-3aac96175c3c_0.png", "image_2": "Description/paired/ce1b5e38-5366-4a7a-9f8e-3aac96175c3c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe cloud artifacts that obscure a significant portion of the image, creating a white, hazy area that reduces visibility. Therefore, Image 1 has higher overall quality due to the absence of any distortions and clear visibility."}
{"id": "1b7197b7-4e1d-458e-84b3-970a0abeb0a7", "image_1": "Description/paired/1b7197b7-4e1d-458e-84b3-970a0abeb0a7_0.png", "image_2": "Description/paired/1b7197b7-4e1d-458e-84b3-970a0abeb0a7_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe cloud artifacts, including a bright vertical band and dense cloud cover obscuring significant portions of the terrain. Image 2 has no observable distortions and provides a clear, unobstructed view of the terrain. Image 2 has higher overall quality because it is free of artifacts and offers a more accurate representation of the scene."}
{"id": "2c116058-c55a-429a-b07e-db639bafc155", "image_1": "Description/paired/2c116058-c55a-429a-b07e-db639bafc155_0.png", "image_2": "Description/paired/2c116058-c55a-429a-b07e-db639bafc155_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and clear. Image 2 contains moderate cloud artifacts that obscure parts of the terrain, making it less visually clear. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "d62f568e-1a2c-4315-b98c-a70aa0f113de", "image_1": "Description/paired/d62f568e-1a2c-4315-b98c-a70aa0f113de_0.png", "image_2": "Description/paired/d62f568e-1a2c-4315-b98c-a70aa0f113de_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe cloud artifacts that obscure large portions of the image, creating bright, washed-out areas and reducing visibility of the underlying terrain. Image 2 has no observable distortions and presents a clear, detailed view of the landscape. Therefore, Image 2 has higher overall quality due to its lack of distortions and better visibility of the terrain features."}
{"id": "7306154c-0f9e-4b49-9761-fc66170191ca", "image_1": "Description/paired/7306154c-0f9e-4b49-9761-fc66170191ca_0.png", "image_2": "Description/paired/7306154c-0f9e-4b49-9761-fc66170191ca_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong cloud artifacts that obscure significant portions of the underlying terrain, appearing as white and gray patches across the image. Image 2 has no observable distortions and presents a clear view of the terrain. Therefore, Image 2 has higher overall quality due to the absence of cloud artifacts and clearer visibility of the terrain."}
{"id": "464ef4f4-338e-444b-a28d-6bf87135f63b", "image_1": "Description/paired/464ef4f4-338e-444b-a28d-6bf87135f63b_0.png", "image_2": "Description/paired/464ef4f4-338e-444b-a28d-6bf87135f63b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains strong cloud artifacts that obscure significant portions of the image, making it difficult to discern details. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "a5d3c94c-88b2-42a3-80bb-769d52b8b012", "image_1": "Description/paired/a5d3c94c-88b2-42a3-80bb-769d52b8b012_0.png", "image_2": "Description/paired/a5d3c94c-88b2-42a3-80bb-769d52b8b012_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate cloud artifacts that obscure parts of the underlying terrain, making it difficult to discern details. Image 2 has no observable distortions and presents a clear view of the terrain. Therefore, Image 2 has higher overall quality due to its clarity and lack of cloud artifacts."}
{"id": "5910ae6b-98ac-4cfc-a7e4-7d83074a37ad", "image_1": "Description/paired/5910ae6b-98ac-4cfc-a7e4-7d83074a37ad_0.png", "image_2": "Description/paired/5910ae6b-98ac-4cfc-a7e4-7d83074a37ad_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains strong cloud artifacts that obscure significant portions of the image, creating bright, washed-out areas. Image 1 has higher overall quality due to the absence of distortions and clear visibility of details."}
{"id": "fbaf7f68-49ec-4724-875f-31141eba2b8b", "image_1": "Description/paired/fbaf7f68-49ec-4724-875f-31141eba2b8b_0.png", "image_2": "Description/paired/fbaf7f68-49ec-4724-875f-31141eba2b8b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong cloud artifacts that obscure significant portions of the image, making it difficult to discern underlying features. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "85653cea-e8af-4be6-b5ff-dcc71ac798ba", "image_1": "Description/paired/85653cea-e8af-4be6-b5ff-dcc71ac798ba_0.png", "image_2": "Description/paired/85653cea-e8af-4be6-b5ff-dcc71ac798ba_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe cloud artifacts that obscure a significant portion of the image, including a large vertical strip in the center and additional cloud cover scattered throughout. Therefore, Image 1 has higher overall quality due to the absence of any distortions compared to the cloud-obscured Image 2."}
{"id": "78850f87-56e1-4d63-9618-7b549eee254f", "image_1": "Description/paired/78850f87-56e1-4d63-9618-7b549eee254f_0.png", "image_2": "Description/paired/78850f87-56e1-4d63-9618-7b549eee254f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe cloud artifacts that obscure a significant portion of the image, creating a hazy and unclear visual effect. Therefore, Image 1 has higher overall quality due to the absence of distortions and clearer visibility."}
{"id": "8bb8f199-4c9f-4a1c-b6c1-5d311955d3bd", "image_1": "Description/paired/8bb8f199-4c9f-4a1c-b6c1-5d311955d3bd_0.png", "image_2": "Description/paired/8bb8f199-4c9f-4a1c-b6c1-5d311955d3bd_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe cloud artifacts, with a large, bright, and opaque cloud covering the central portion of the image, obscuring significant details. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "d7aa8764-19d3-45f4-800f-c44c85582149", "image_1": "Description/paired/d7aa8764-19d3-45f4-800f-c44c85582149_0.png", "image_2": "Description/paired/d7aa8764-19d3-45f4-800f-c44c85582149_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong cloud artifacts that obscure large portions of the image, making it difficult to discern underlying features. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "f620920a-dce0-41fd-b88b-db4ef09c4d72", "image_1": "Description/paired/f620920a-dce0-41fd-b88b-db4ef09c4d72_0.png", "image_2": "Description/paired/f620920a-dce0-41fd-b88b-db4ef09c4d72_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong cloud artifacts that obscure significant portions of the image, making it difficult to see the underlying terrain. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "58a6aca1-4b9b-41c5-bc94-9786cbeeed7a", "image_1": "Description/paired/58a6aca1-4b9b-41c5-bc94-9786cbeeed7a_0.png", "image_2": "Description/paired/58a6aca1-4b9b-41c5-bc94-9786cbeeed7a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains severe cloud artifacts, with large, dense clouds obscuring significant portions of the image and a bright vertical band running through the center. Therefore, Image 1 has higher overall quality due to the absence of distortions and clear visibility of details."}
{"id": "118d0a34-4187-46e9-8e47-470694672001", "image_1": "Description/paired/118d0a34-4187-46e9-8e47-470694672001_0.png", "image_2": "Description/paired/118d0a34-4187-46e9-8e47-470694672001_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate cloud artifacts that appear as bright, white patches obscuring parts of the landscape. Image 2 has no observable distortions and presents a clear, unobstructed view of the terrain. Therefore, Image 2 has higher overall quality due to the absence of cloud artifacts and clearer visibility of the landscape."}
{"id": "afb1460b-5d3b-466b-a756-880f268d15b5", "image_1": "Description/paired/afb1460b-5d3b-466b-a756-880f268d15b5_0.png", "image_2": "Description/paired/afb1460b-5d3b-466b-a756-880f268d15b5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains moderate cloud artifacts that obscure significant portions of the image, making it difficult to discern underlying features. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "808d1b55-25c1-4230-a62e-9d0f2c1d10d6", "image_1": "Description/paired/808d1b55-25c1-4230-a62e-9d0f2c1d10d6_0.png", "image_2": "Description/paired/808d1b55-25c1-4230-a62e-9d0f2c1d10d6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe cloud artifacts that obscure a significant portion of the image, making it difficult to discern underlying features. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "42749927-ce8a-4b60-aca8-bb763321f28a", "image_1": "Description/paired/42749927-ce8a-4b60-aca8-bb763321f28a_0.png", "image_2": "Description/paired/42749927-ce8a-4b60-aca8-bb763321f28a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe cloud artifacts, with a large, bright white area obscuring the central part of the image and some cloud cover partially visible over the terrain. Image 2 has no observable distortions and appears clear and undisturbed. Therefore, Image 2 has higher overall quality due to the absence of any visual obstructions or artifacts."}
{"id": "9d0c9f7c-9aba-45ae-a180-e270a692e2ca", "image_1": "Description/paired/9d0c9f7c-9aba-45ae-a180-e270a692e2ca_0.png", "image_2": "Description/paired/9d0c9f7c-9aba-45ae-a180-e270a692e2ca_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains moderate cloud artifacts that obscure significant portions of the landscape, appearing as white, semi-transparent patches. Image 1 has higher overall quality because it is free from any distortions, unlike Image 2 which is affected by cloud cover."}
{"id": "d769920b-2707-49d6-af60-0cb5bdf24d49", "image_1": "Description/paired/d769920b-2707-49d6-af60-0cb5bdf24d49_0.png", "image_2": "Description/paired/d769920b-2707-49d6-af60-0cb5bdf24d49_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe cloud artifacts, with large portions of the image obscured by dense clouds, resulting in significant loss of visible detail. Image 2 has no observable distortions and presents a clear, high-quality view of the area. Therefore, Image 2 has higher overall quality due to the absence of any visual obstructions or artifacts."}
{"id": "4ef77699-4153-428d-ba28-9ca6bd0bc604", "image_1": "Description/paired/4ef77699-4153-428d-ba28-9ca6bd0bc604_0.png", "image_2": "Description/paired/4ef77699-4153-428d-ba28-9ca6bd0bc604_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe cloud artifacts, with a large, bright white area in the center and additional cloud cover obscuring significant portions of the landscape. Image 2 has no observable distortions and presents a clear, high-quality view of the terrain. Therefore, Image 2 has higher overall quality due to the absence of any visual obstructions or distortions."}
{"id": "547f88ce-3ba1-48db-90b6-d3872c82375f", "image_1": "Description/paired/547f88ce-3ba1-48db-90b6-d3872c82375f_0.png", "image_2": "Description/paired/547f88ce-3ba1-48db-90b6-d3872c82375f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate cloud artifacts, appearing as white and light patches that obscure the underlying terrain. Image 2 has no observable distortions and presents a clear and consistent view of the terrain. Therefore, Image 2 has higher overall quality due to the absence of any visual obstructions or artifacts."}
{"id": "bfdaa689-faaf-4ddf-8dc2-05b160fe5a6f", "image_1": "Description/paired/bfdaa689-faaf-4ddf-8dc2-05b160fe5a6f_0.png", "image_2": "Description/paired/bfdaa689-faaf-4ddf-8dc2-05b160fe5a6f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong cloud artifacts that appear as bright, white patches obscuring the underlying terrain. Image 2 has no observable distortions and presents a clear, unobstructed view of the terrain. Therefore, Image 2 has higher overall quality due to the absence of any cloud artifacts."}
{"id": "d6b15411-df32-4412-87f4-34efe3a8f39c", "image_1": "Description/paired/d6b15411-df32-4412-87f4-34efe3a8f39c_0.png", "image_2": "Description/paired/d6b15411-df32-4412-87f4-34efe3a8f39c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe cloud artifacts, with a large, bright, and opaque cloud covering the central portion of the image, obscuring significant details. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "105253ce-722b-4e81-8d7c-61c131c16a80", "image_1": "Description/paired/105253ce-722b-4e81-8d7c-61c131c16a80_0.png", "image_2": "Description/paired/105253ce-722b-4e81-8d7c-61c131c16a80_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe cloud artifacts, which appear as bright, opaque regions obscuring the underlying terrain. Image 2 has no observable distortions and presents a clear, unobstructed view of the landscape. Therefore, Image 2 has higher overall quality due to the absence of any visual obstructions or distortions."}
{"id": "954de9c2-7ee9-4356-8db3-0cffb3681b2b", "image_1": "Description/paired/954de9c2-7ee9-4356-8db3-0cffb3681b2b_0.png", "image_2": "Description/paired/954de9c2-7ee9-4356-8db3-0cffb3681b2b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe cloud artifacts that obscure a significant portion of the image, resulting in a loss of visible detail and clarity. Therefore, Image 1 has higher overall quality due to the absence of distortions and the clear visibility of terrain features."}
{"id": "8d21f913-5a79-4762-b756-7fcb884f2d6d", "image_1": "Description/paired/8d21f913-5a79-4762-b756-7fcb884f2d6d_0.png", "image_2": "Description/paired/8d21f913-5a79-4762-b756-7fcb884f2d6d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality. Image 2 exhibits moderate image compression artifacts, including visible blurring and loss of detail, particularly in the textures and edges. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual representation."}
{"id": "544a3fa3-b02d-496a-aaad-082542a458a0", "image_1": "Description/paired/544a3fa3-b02d-496a-aaad-082542a458a0_0.png", "image_2": "Description/paired/544a3fa3-b02d-496a-aaad-082542a458a0_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image compression artifacts, such as blockiness and blurring, which reduce the clarity and sharpness of the details. Image 2 shows no observable distortions and maintains high clarity and sharpness throughout. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior visual fidelity."}
{"id": "9ecc20a6-96be-4cd8-afd1-f718f1dfe378", "image_1": "Description/paired/9ecc20a6-96be-4cd8-afd1-f718f1dfe378_0.png", "image_2": "Description/paired/9ecc20a6-96be-4cd8-afd1-f718f1dfe378_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe image compression artifacts, including noticeable blockiness and loss of detail, making the image appear blurry and pixelated. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual appearance."}
{"id": "2647635e-9f6e-4a93-b72b-5ec174718303", "image_1": "Description/paired/2647635e-9f6e-4a93-b72b-5ec174718303_0.png", "image_2": "Description/paired/2647635e-9f6e-4a93-b72b-5ec174718303_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including noticeable blockiness and blurring, which degrade the clarity of fine details. Image 2 shows no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior clarity."}
{"id": "c23a3d8d-2e86-43c6-bdb0-e8026549a6e6", "image_1": "Description/paired/c23a3d8d-2e86-43c6-bdb0-e8026549a6e6_0.png", "image_2": "Description/paired/c23a3d8d-2e86-43c6-bdb0-e8026549a6e6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains moderate image compression artifacts, visible as blockiness and a loss of detail, particularly in the darker regions. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual presentation."}
{"id": "55fd59ec-8493-4f48-a940-eeae57d4d38c", "image_1": "Description/paired/55fd59ec-8493-4f48-a940-eeae57d4d38c_0.png", "image_2": "Description/paired/55fd59ec-8493-4f48-a940-eeae57d4d38c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including noticeable blurring and pixelation, which degrade the visual clarity and detail of the structures. Image 2 appears to have no meaningful distortions, maintaining clear and sharp details of the structures. Therefore, Image 2 has higher overall quality due to its lack of visible compression artifacts and superior clarity."}
{"id": "2d9d5ced-0bbe-49e5-af80-7a5aa895042e", "image_1": "Description/paired/2d9d5ced-0bbe-49e5-af80-7a5aa895042e_0.png", "image_2": "Description/paired/2d9d5ced-0bbe-49e5-af80-7a5aa895042e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including noticeable blockiness and blurring, which degrade the visual clarity and detail of the structures. Image 2 shows no observable distortions and maintains a clear and sharp representation of the structures. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior visual clarity."}
{"id": "2e6d48c2-7647-4d17-84d8-e23ddecfe6c3", "image_1": "Description/paired/2e6d48c2-7647-4d17-84d8-e23ddecfe6c3_0.png", "image_2": "Description/paired/2e6d48c2-7647-4d17-84d8-e23ddecfe6c3_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe compression artifacts, including blockiness, blurring, and loss of fine details, which significantly degrade the visual quality. Image 2 shows no observable distortions and retains clear details and natural texture. Image 2 has higher overall quality due to its lack of distortions and superior preservation of detail compared to the heavily degraded Image 1."}
{"id": "b5e9e57c-8749-4e41-9de9-2f0a58eefa2d", "image_1": "Description/paired/b5e9e57c-8749-4e41-9de9-2f0a58eefa2d_0.png", "image_2": "Description/paired/b5e9e57c-8749-4e41-9de9-2f0a58eefa2d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including noticeable blockiness and blurring, which obscure fine details and create a mottled texture. Image 2 shows no observable distortions and maintains clear, sharp details throughout the image. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "2965269d-0c21-447f-95fd-db6f447e4cd1", "image_1": "Description/paired/2965269d-0c21-447f-95fd-db6f447e4cd1_0.png", "image_2": "Description/paired/2965269d-0c21-447f-95fd-db6f447e4cd1_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including noticeable blockiness and blurring, which obscure finer details and reduce overall clarity. Image 2 shows no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior clarity."}
{"id": "1b242c4e-a446-48a6-b047-91ee76eb57fb", "image_1": "Description/paired/1b242c4e-a446-48a6-b047-91ee76eb57fb_0.png", "image_2": "Description/paired/1b242c4e-a446-48a6-b047-91ee76eb57fb_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 exhibits severe image compression artifacts, including noticeable blockiness and blurring, which degrade the overall visual quality. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer details."}
{"id": "346e7e55-9647-429a-9a27-62b9b653ec85", "image_1": "Description/paired/346e7e55-9647-429a-9a27-62b9b653ec85_0.png", "image_2": "Description/paired/346e7e55-9647-429a-9a27-62b9b653ec85_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate compression artifacts, including blockiness and a loss of fine details, particularly noticeable in the textured areas and edges. Image 2 shows no observable distortions and maintains clear details with smooth transitions. Image 2 has higher overall quality due to its lack of compression artifacts and superior clarity."}
{"id": "e185658a-317b-446f-9b3a-7b5f06cfe731", "image_1": "Description/paired/e185658a-317b-446f-9b3a-7b5f06cfe731_0.png", "image_2": "Description/paired/e185658a-317b-446f-9b3a-7b5f06cfe731_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including noticeable blockiness and blurring, which degrade the overall clarity and detail of the scene. Image 2 has no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "e03501cd-8f0b-4518-bb47-1e820d336cbc", "image_1": "Description/paired/e03501cd-8f0b-4518-bb47-1e820d336cbc_0.png", "image_2": "Description/paired/e03501cd-8f0b-4518-bb47-1e820d336cbc_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality with well-preserved details. Image 2 exhibits strong compression artifacts, including noticeable blockiness, loss of fine details, and reduced color fidelity, resulting in a degraded visual appearance. Image 1 has higher overall quality because it retains clarity and detail without the compression artifacts present in Image 2."}
{"id": "7632695d-2de2-4983-83ff-41bd8bbe705e", "image_1": "Description/paired/7632695d-2de2-4983-83ff-41bd8bbe705e_0.png", "image_2": "Description/paired/7632695d-2de2-4983-83ff-41bd8bbe705e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality. Image 2 contains severe image compression artifacts, including noticeable blurring and blockiness that degrade visual clarity. Image 1 has higher overall quality due to the absence of distortions and superior visual clarity compared to Image 2."}
{"id": "f2ccb130-d0bd-4f35-b855-6fba234c2a07", "image_1": "Description/paired/f2ccb130-d0bd-4f35-b855-6fba234c2a07_0.png", "image_2": "Description/paired/f2ccb130-d0bd-4f35-b855-6fba234c2a07_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including noticeable blockiness and blurring, which degrade the visual clarity of the terrain features. Image 2 shows no observable distortions and maintains clear and sharp details throughout the image. Therefore, Image 2 has higher overall quality due to the absence of compression artifacts and better preservation of fine details."}
{"id": "6c70fe1c-5405-4c67-96c5-cf25db947bb4", "image_1": "Description/paired/6c70fe1c-5405-4c67-96c5-cf25db947bb4_0.png", "image_2": "Description/paired/6c70fe1c-5405-4c67-96c5-cf25db947bb4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image compression artifacts, including blockiness and blurring, which reduce the clarity and sharpness of the image. Image 2 shows no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to the absence of compression artifacts and better visual clarity."}
{"id": "7fdd152d-845b-44d8-9cdc-ae8534d74618", "image_1": "Description/paired/7fdd152d-845b-44d8-9cdc-ae8534d74618_0.png", "image_2": "Description/paired/7fdd152d-845b-44d8-9cdc-ae8534d74618_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits noticeable compression artifacts, including blockiness and blurring, which reduce the clarity and detail of the image. Image 2 shows no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "6b28c192-26db-4a92-8478-68b1af7e6066", "image_1": "Description/paired/6b28c192-26db-4a92-8478-68b1af7e6066_0.png", "image_2": "Description/paired/6b28c192-26db-4a92-8478-68b1af7e6066_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and detailed. Image 2 contains moderate image compression artifacts, such as blurring and blockiness, which reduce the clarity and sharpness of the image. Therefore, Image 1 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "1d43ba2b-b5d8-4b9e-b15d-b6071e1da73a", "image_1": "Description/paired/1d43ba2b-b5d8-4b9e-b15d-b6071e1da73a_0.png", "image_2": "Description/paired/1d43ba2b-b5d8-4b9e-b15d-b6071e1da73a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including significant blockiness, blurring, and color banding, which degrade the visual quality and detail. Image 2 shows no observable distortions and maintains clear, sharp details with accurate color representation. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "b02f9c8f-4e09-477d-a8c8-ae7957684d4b", "image_1": "Description/paired/b02f9c8f-4e09-477d-a8c8-ae7957684d4b_0.png", "image_2": "Description/paired/b02f9c8f-4e09-477d-a8c8-ae7957684d4b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including blockiness and blurring, which significantly degrade the visual quality and detail of the image. Image 2 shows no observable distortions and maintains clear, sharp details throughout. Therefore, Image 2 has higher overall quality due to the absence of distortions and the preservation of fine details."}
{"id": "5ac98457-a98b-4251-b796-c36e1026f84f", "image_1": "Description/paired/5ac98457-a98b-4251-b796-c36e1026f84f_0.png", "image_2": "Description/paired/5ac98457-a98b-4251-b796-c36e1026f84f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 exhibits moderate image compression artifacts, including blockiness and a loss of fine detail, making the image appear less sharp and more pixelated. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual presentation."}
{"id": "f1088a34-7321-4623-bfd5-650e00d3a69d", "image_1": "Description/paired/f1088a34-7321-4623-bfd5-650e00d3a69d_0.png", "image_2": "Description/paired/f1088a34-7321-4623-bfd5-650e00d3a69d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong image compression artifacts, which manifest as blockiness and blurring, particularly noticeable in the darker regions. Therefore, Image 1 has higher overall quality due to the absence of any visible distortions."}
{"id": "0e32735b-1faf-4ee8-a995-f05db49ece19", "image_1": "Description/paired/0e32735b-1faf-4ee8-a995-f05db49ece19_0.png", "image_2": "Description/paired/0e32735b-1faf-4ee8-a995-f05db49ece19_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits no observable distortions and appears clean and high-quality. Image 2 contains strong image compression artifacts, including noticeable blockiness and loss of detail. Therefore, Image 1 has higher overall quality due to the absence of visible distortions compared to the heavily compressed Image 2."}
{"id": "ab0ba6fc-5309-495c-ad30-b111240a06a3", "image_1": "Description/paired/ab0ba6fc-5309-495c-ad30-b111240a06a3_0.png", "image_2": "Description/paired/ab0ba6fc-5309-495c-ad30-b111240a06a3_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including blockiness and blurring, which significantly degrade the visual quality and detail. Image 2 shows no observable distortions and maintains clear, sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "1fbb20c5-8656-4cd2-adee-a59875032cb3", "image_1": "Description/paired/1fbb20c5-8656-4cd2-adee-a59875032cb3_0.png", "image_2": "Description/paired/1fbb20c5-8656-4cd2-adee-a59875032cb3_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe image compression artifacts, including noticeable blockiness, blurring, and color degradation. Image 1 has higher overall quality because it is free from the compression artifacts that significantly degrade the visual clarity of Image 2."}
{"id": "0acff13f-524c-4566-8af5-bdb810416d12", "image_1": "Description/paired/0acff13f-524c-4566-8af5-bdb810416d12_0.png", "image_2": "Description/paired/0acff13f-524c-4566-8af5-bdb810416d12_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits severe image compression artifacts, including blockiness, blurring, and color degradation, which significantly reduce the image clarity and detail. Therefore, Image 1 has higher overall quality due to the absence of distortions and superior visual clarity."}
{"id": "03bc378b-f7bf-4262-b9c9-5eaf64fa9d9d", "image_1": "Description/paired/03bc378b-f7bf-4262-b9c9-5eaf64fa9d9d_0.png", "image_2": "Description/paired/03bc378b-f7bf-4262-b9c9-5eaf64fa9d9d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong image compression artifacts, including noticeable blockiness and loss of detail, which degrade the overall visual quality. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual representation."}
{"id": "a858e358-7a30-45f8-b82a-ee0557d9e561", "image_1": "Description/paired/a858e358-7a30-45f8-b82a-ee0557d9e561_0.png", "image_2": "Description/paired/a858e358-7a30-45f8-b82a-ee0557d9e561_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and detailed. Image 2 exhibits severe image compression artifacts, including noticeable blockiness, blurring, and loss of detail. Image 1 has higher overall quality due to its clarity and absence of compression artifacts."}
{"id": "8b21c58a-8c9b-451b-a7f3-361a71be22e2", "image_1": "Description/paired/8b21c58a-8c9b-451b-a7f3-361a71be22e2_0.png", "image_2": "Description/paired/8b21c58a-8c9b-451b-a7f3-361a71be22e2_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 exhibits strong image compression artifacts, including blockiness and loss of detail, which degrade the visual quality significantly. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual presentation."}
{"id": "cf180ebb-056d-48fe-af3f-0e00535b13ac", "image_1": "Description/paired/cf180ebb-056d-48fe-af3f-0e00535b13ac_0.png", "image_2": "Description/paired/cf180ebb-056d-48fe-af3f-0e00535b13ac_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains moderate image compression artifacts, such as blockiness and blurring, which degrade the visual quality. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer appearance."}
{"id": "3759689c-0e76-4e0c-b61c-4d0f6e65748b", "image_1": "Description/paired/3759689c-0e76-4e0c-b61c-4d0f6e65748b_0.png", "image_2": "Description/paired/3759689c-0e76-4e0c-b61c-4d0f6e65748b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains strong image compression artifacts, which manifest as blockiness and blurring, reducing the clarity and detail of the image. Therefore, Image 1 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "c0344259-1963-4d71-a7b3-c32213c44f57", "image_1": "Description/paired/c0344259-1963-4d71-a7b3-c32213c44f57_0.png", "image_2": "Description/paired/c0344259-1963-4d71-a7b3-c32213c44f57_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe image compression artifacts, including blockiness and loss of detail, making the image appear pixelated and unclear. Image 1 has higher overall quality due to its lack of distortions and clearer visual presentation compared to the heavily compressed and artifact-laden Image 2."}
{"id": "0ca93d01-00bf-4652-9d97-78a1cb691b34", "image_1": "Description/paired/0ca93d01-00bf-4652-9d97-78a1cb691b34_0.png", "image_2": "Description/paired/0ca93d01-00bf-4652-9d97-78a1cb691b34_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe image compression artifacts, including blockiness and pixelation, which result in a loss of detail and clarity. Image 2 has no observable distortions and appears clean and high-quality with clear details. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior visual clarity."}
{"id": "76d494d5-012d-46d9-9783-4670f7ca2d98", "image_1": "Description/paired/76d494d5-012d-46d9-9783-4670f7ca2d98_0.png", "image_2": "Description/paired/76d494d5-012d-46d9-9783-4670f7ca2d98_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits noticeable compression artifacts, including blockiness and a loss of fine detail, particularly in textured areas like vegetation and terrain transitions. Image 2 shows no observable distortions and maintains sharpness and clarity throughout the scene. Image 2 has higher overall quality due to its lack of visible artifacts and superior preservation of detail."}
{"id": "f6167d48-f438-4dc4-9d14-02e07fd670b2", "image_1": "Description/paired/f6167d48-f438-4dc4-9d14-02e07fd670b2_0.png", "image_2": "Description/paired/f6167d48-f438-4dc4-9d14-02e07fd670b2_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including blockiness and significant loss of detail, making the image appear pixelated and unclear. Image 2 shows no observable distortions and maintains clear, detailed visual quality. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "2f926127-1d7d-4455-90df-41fac1df36cd", "image_1": "Description/paired/2f926127-1d7d-4455-90df-41fac1df36cd_0.png", "image_2": "Description/paired/2f926127-1d7d-4455-90df-41fac1df36cd_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 exhibits moderate image compression artifacts, including blockiness and blurring, which reduce the clarity and detail of the image. Therefore, Image 1 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "3289fce6-ddfc-4b62-9a9a-ad2ad697542f", "image_1": "Description/paired/3289fce6-ddfc-4b62-9a9a-ad2ad697542f_0.png", "image_2": "Description/paired/3289fce6-ddfc-4b62-9a9a-ad2ad697542f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, characterized by blockiness and loss of detail, making the features appear pixelated and distorted. Image 2 shows no observable distortions and maintains clear, detailed features throughout. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior clarity."}
{"id": "a61e699c-5d34-40a6-9de2-ab49bfdf6be3", "image_1": "Description/paired/a61e699c-5d34-40a6-9de2-ab49bfdf6be3_0.png", "image_2": "Description/paired/a61e699c-5d34-40a6-9de2-ab49bfdf6be3_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image compression artifacts, including blockiness and blurriness, which reduce the overall clarity and sharpness of the features. Image 2 shows no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior visual clarity."}
{"id": "6e2e5330-db24-4e53-8a61-ba4290f7303e", "image_1": "Description/paired/6e2e5330-db24-4e53-8a61-ba4290f7303e_0.png", "image_2": "Description/paired/6e2e5330-db24-4e53-8a61-ba4290f7303e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including noticeable blockiness and blurring, which degrade the clarity and detail of the visual information. Image 2 shows no observable distortions and maintains clear, sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "d527d2b3-06a2-4be6-9cb1-ad3dc73404c8", "image_1": "Description/paired/d527d2b3-06a2-4be6-9cb1-ad3dc73404c8_0.png", "image_2": "Description/paired/d527d2b3-06a2-4be6-9cb1-ad3dc73404c8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including noticeable blockiness and blurring, which degrade the visual clarity and detail of the terrain. Image 2 shows no observable distortions and maintains clear, sharp details of the landscape. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior visual clarity."}
{"id": "3d4efb91-ec91-40f5-981c-df7ebc6d68ec", "image_1": "Description/paired/3d4efb91-ec91-40f5-981c-df7ebc6d68ec_0.png", "image_2": "Description/paired/3d4efb91-ec91-40f5-981c-df7ebc6d68ec_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including noticeable blockiness and blurring, particularly around the edges and fine details. Image 2 shows no observable distortions and maintains clear, sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior clarity."}
{"id": "936ec1af-e6c8-4909-9ecc-f21dd910b848", "image_1": "Description/paired/936ec1af-e6c8-4909-9ecc-f21dd910b848_0.png", "image_2": "Description/paired/936ec1af-e6c8-4909-9ecc-f21dd910b848_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image compression artifacts, which manifest as blockiness and a loss of fine details, making the terrain appear less sharp and somewhat blurred. Image 2 shows no observable distortions, maintaining clear and detailed visual information throughout the image. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior clarity."}
{"id": "f9628003-d41a-4239-b9a5-7f5e59838454", "image_1": "Description/paired/f9628003-d41a-4239-b9a5-7f5e59838454_0.png", "image_2": "Description/paired/f9628003-d41a-4239-b9a5-7f5e59838454_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality with well-preserved details. Image 2 exhibits moderate compression artifacts, including blockiness and a loss of fine details, resulting in a visibly degraded appearance. Image 1 has higher overall quality because it retains more detail and lacks the compression artifacts present in Image 2."}
{"id": "4fd79a0c-443c-452f-a029-3c36bcd8b4f8", "image_1": "Description/paired/4fd79a0c-443c-452f-a029-3c36bcd8b4f8_0.png", "image_2": "Description/paired/4fd79a0c-443c-452f-a029-3c36bcd8b4f8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains severe image compression artifacts, including noticeable blurring and blockiness that degrade visual clarity. Therefore, Image 1 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "27b1e35c-5607-4655-a793-975945b70d41", "image_1": "Description/paired/27b1e35c-5607-4655-a793-975945b70d41_0.png", "image_2": "Description/paired/27b1e35c-5607-4655-a793-975945b70d41_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate image compression artifacts, which manifest as blockiness and a loss of fine detail, making the image appear blurry and pixelated. Therefore, Image 1 has higher overall quality due to its clarity and lack of visible distortions."}
{"id": "7d538de6-0502-4715-86dd-2b126d3ab124", "image_1": "Description/paired/7d538de6-0502-4715-86dd-2b126d3ab124_0.png", "image_2": "Description/paired/7d538de6-0502-4715-86dd-2b126d3ab124_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 exhibits moderate image compression artifacts, including blockiness and a loss of fine detail, which make the image appear less clear. Therefore, Image 1 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "6333c836-0489-4b23-9d93-f7e01be22617", "image_1": "Description/paired/6333c836-0489-4b23-9d93-f7e01be22617_0.png", "image_2": "Description/paired/6333c836-0489-4b23-9d93-f7e01be22617_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including noticeable blockiness and blurring, which significantly degrade the visual quality and detail of the image. Image 2 shows no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to the absence of compression artifacts and the preservation of fine details."}
{"id": "1289fe2c-8c82-493c-a54d-f8340a39c468", "image_1": "Description/paired/1289fe2c-8c82-493c-a54d-f8340a39c468_0.png", "image_2": "Description/paired/1289fe2c-8c82-493c-a54d-f8340a39c468_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits moderate image compression artifacts, including blockiness and a loss of fine detail, which degrade the overall clarity. Therefore, Image 1 has higher overall quality due to its lack of visible distortions and superior visual clarity."}
{"id": "822350cb-edb5-4524-9e96-71250681b109", "image_1": "Description/paired/822350cb-edb5-4524-9e96-71250681b109_0.png", "image_2": "Description/paired/822350cb-edb5-4524-9e96-71250681b109_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe image compression artifacts, including blockiness and a significant loss of detail, making the image appear pixelated and degraded. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual appearance."}
{"id": "70fe0949-2f9a-47c6-a001-fd870d785f39", "image_1": "Description/paired/70fe0949-2f9a-47c6-a001-fd870d785f39_0.png", "image_2": "Description/paired/70fe0949-2f9a-47c6-a001-fd870d785f39_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits noticeable compression artifacts, including blockiness and blurring, which degrade the clarity and detail of the image. Image 2 shows no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to the absence of compression artifacts and better visual clarity."}
{"id": "eec23dbb-9364-4f4c-9c6e-b53df0935deb", "image_1": "Description/paired/eec23dbb-9364-4f4c-9c6e-b53df0935deb_0.png", "image_2": "Description/paired/eec23dbb-9364-4f4c-9c6e-b53df0935deb_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and detailed. Image 2 contains severe image compression artifacts, including noticeable blockiness, color banding, and loss of fine details. Image 1 has higher overall quality because it is free from the compression artifacts present in Image 2."}
{"id": "1f8695b8-8965-45ef-b9eb-d699766c2d64", "image_1": "Description/paired/1f8695b8-8965-45ef-b9eb-d699766c2d64_0.png", "image_2": "Description/paired/1f8695b8-8965-45ef-b9eb-d699766c2d64_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe image compression artifacts, including noticeable blockiness and loss of detail, which degrade the visual quality significantly. Therefore, Image 1 has higher overall quality due to the absence of distortions and clearer visual details."}
{"id": "5e0a7932-a22e-4b12-8e1a-3ce31b041e86", "image_1": "Description/paired/5e0a7932-a22e-4b12-8e1a-3ce31b041e86_0.png", "image_2": "Description/paired/5e0a7932-a22e-4b12-8e1a-3ce31b041e86_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe image compression artifacts, including blockiness and loss of detail, which significantly degrade the visual quality. Image 1 has higher overall quality because it is free from distortions and maintains clear and detailed visuals."}
{"id": "53bff2a9-8fae-4986-b02b-27ab1ec9640a", "image_1": "Description/paired/53bff2a9-8fae-4986-b02b-27ab1ec9640a_0.png", "image_2": "Description/paired/53bff2a9-8fae-4986-b02b-27ab1ec9640a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 exhibits strong image compression artifacts, including noticeable blocking and blurring, which degrade the visual quality significantly. Therefore, Image 1 has higher overall quality due to the absence of distortions and clearer details."}
{"id": "fbbf9294-288c-4a36-89b9-8bfe70d19161", "image_1": "Description/paired/fbbf9294-288c-4a36-89b9-8bfe70d19161_0.png", "image_2": "Description/paired/fbbf9294-288c-4a36-89b9-8bfe70d19161_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including noticeable blockiness and a loss of fine detail, which results in a pixelated and blurry appearance. Image 2 shows no observable distortions and maintains clear, sharp details throughout the image. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior clarity."}
{"id": "2577c346-548c-4bc0-ab8e-24aed6e768e5", "image_1": "Description/paired/2577c346-548c-4bc0-ab8e-24aed6e768e5_0.png", "image_2": "Description/paired/2577c346-548c-4bc0-ab8e-24aed6e768e5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains severe image compression artifacts, including noticeable blockiness and loss of detail, which degrade the visual quality significantly. Therefore, Image 1 has higher overall quality due to the absence of distortions and clearer visual details."}
{"id": "2e131e7d-f39e-43b7-a064-d5f6981247ec", "image_1": "Description/paired/2e131e7d-f39e-43b7-a064-d5f6981247ec_0.png", "image_2": "Description/paired/2e131e7d-f39e-43b7-a064-d5f6981247ec_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including noticeable blockiness and blurring, which degrade the visual quality and detail of the terrain. Image 2 shows no observable distortions and maintains clear, sharp details with accurate color representation. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "f86f1d65-274c-482b-80d3-37f326ac819a", "image_1": "Description/paired/f86f1d65-274c-482b-80d3-37f326ac819a_0.png", "image_2": "Description/paired/f86f1d65-274c-482b-80d3-37f326ac819a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including noticeable blockiness and a loss of fine details, which results in a pixelated and less coherent visual appearance. Image 2 shows no observable distortions and maintains clear, detailed, and natural visual quality. Therefore, Image 2 has higher overall quality due to its absence of compression artifacts and superior detail preservation."}
{"id": "28a1447f-cf0a-4fac-bd6a-3c7fa353fcd8", "image_1": "Description/paired/28a1447f-cf0a-4fac-bd6a-3c7fa353fcd8_0.png", "image_2": "Description/paired/28a1447f-cf0a-4fac-bd6a-3c7fa353fcd8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including noticeable blockiness and loss of fine details, which degrade the overall visual quality. Image 2 shows no observable distortions and maintains clear, sharp details throughout the image. Therefore, Image 2 has higher overall quality due to the absence of compression artifacts and the preservation of fine details."}
{"id": "e50ee9a7-5a12-4e54-a827-8632fe373991", "image_1": "Description/paired/e50ee9a7-5a12-4e54-a827-8632fe373991_0.png", "image_2": "Description/paired/e50ee9a7-5a12-4e54-a827-8632fe373991_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and sharp. Image 2 contains severe image compression artifacts, including blockiness and color banding, which degrade the visual quality significantly. Therefore, Image 1 has higher overall quality due to its lack of distortions compared to the heavily compressed and artifact-laden Image 2."}
{"id": "69bd42d2-6c3c-44ec-a985-6c61fc4e06c8", "image_1": "Description/paired/69bd42d2-6c3c-44ec-a985-6c61fc4e06c8_0.png", "image_2": "Description/paired/69bd42d2-6c3c-44ec-a985-6c61fc4e06c8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains severe image compression artifacts, including noticeable pixelation and blurring, which degrade the visual clarity. Image 1 has higher overall quality due to its lack of distortions and superior visual clarity compared to Image 2."}
{"id": "9c0154d1-8a51-4bbc-b7f0-cded6e271ade", "image_1": "Description/paired/9c0154d1-8a51-4bbc-b7f0-cded6e271ade_0.png", "image_2": "Description/paired/9c0154d1-8a51-4bbc-b7f0-cded6e271ade_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits noticeable compression artifacts, appearing as blocky and pixelated areas that reduce the clarity and detail of the image. Image 2 shows no observable distortions and maintains a high level of detail and clarity throughout. Therefore, Image 2 has higher overall quality due to its lack of visible compression artifacts and superior visual clarity."}
{"id": "e1b0b07e-fe44-495f-91f1-705c86b2e15d", "image_1": "Description/paired/e1b0b07e-fe44-495f-91f1-705c86b2e15d_0.png", "image_2": "Description/paired/e1b0b07e-fe44-495f-91f1-705c86b2e15d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong compression artifacts, including blockiness, color banding, and a significant loss of detail, making the image appear pixelated and unclear. Image 2 shows no observable distortions and retains sharp details, natural colors, and smooth transitions. Image 2 has higher overall quality because it is free from compression artifacts and preserves the visual integrity of the scene."}
{"id": "e8ea824f-28c1-42b2-a2ef-cf29448cf902", "image_1": "Description/paired/e8ea824f-28c1-42b2-a2ef-cf29448cf902_0.png", "image_2": "Description/paired/e8ea824f-28c1-42b2-a2ef-cf29448cf902_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, characterized by blockiness and a loss of fine details, resulting in a pixelated and blurred appearance. Image 2 shows no observable distortions and maintains a smooth and consistent texture throughout. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and clearer visual presentation."}
{"id": "af1b8601-d2ac-4ef7-ba6c-77cdac8230a9", "image_1": "Description/paired/af1b8601-d2ac-4ef7-ba6c-77cdac8230a9_0.png", "image_2": "Description/paired/af1b8601-d2ac-4ef7-ba6c-77cdac8230a9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe compression artifacts, including blocky patterns and pixelation, which degrade the visual clarity and disrupt the uniformity of the image. Image 2 shows no observable distortions and maintains a smooth, consistent texture throughout. Therefore, Image 2 has higher overall quality due to its lack of visible artifacts and superior visual consistency."}
{"id": "7976edaa-1f6e-4c0c-9aaf-17c2118c3274", "image_1": "Description/paired/7976edaa-1f6e-4c0c-9aaf-17c2118c3274_0.png", "image_2": "Description/paired/7976edaa-1f6e-4c0c-9aaf-17c2118c3274_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and sharp. Image 2 contains strong image compression artifacts, including noticeable blockiness and a loss of detail, making the image appear pixelated and blurry. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "33b18b83-c1f3-4d6f-add5-9f26305a23d1", "image_1": "Description/paired/33b18b83-c1f3-4d6f-add5-9f26305a23d1_0.png", "image_2": "Description/paired/33b18b83-c1f3-4d6f-add5-9f26305a23d1_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains moderate image compression artifacts, such as blockiness and blurring, which degrade the visual clarity. Image 1 has higher overall quality due to its lack of distortions and superior visual clarity compared to Image 2."}
{"id": "cb60fa34-ac52-498b-b8e3-1f8d34a8251b", "image_1": "Description/paired/cb60fa34-ac52-498b-b8e3-1f8d34a8251b_0.png", "image_2": "Description/paired/cb60fa34-ac52-498b-b8e3-1f8d34a8251b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe compression artifacts, including blockiness, loss of fine details, and noticeable color distortions, which degrade the overall clarity of the image. Image 2 shows no observable distortions, maintaining sharp details and natural color representation throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior visual fidelity compared to Image 1."}
{"id": "28d18897-cee3-484e-9b8b-ab2344c348ff", "image_1": "Description/paired/28d18897-cee3-484e-9b8b-ab2344c348ff_0.png", "image_2": "Description/paired/28d18897-cee3-484e-9b8b-ab2344c348ff_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains severe image compression artifacts, including noticeable blockiness and color degradation, which significantly reduce the image clarity. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual presentation."}
{"id": "c9e0bc2f-edc4-4c52-9f1c-58b0953d549b", "image_1": "Description/paired/c9e0bc2f-edc4-4c52-9f1c-58b0953d549b_0.png", "image_2": "Description/paired/c9e0bc2f-edc4-4c52-9f1c-58b0953d549b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image compression artifacts, visible as blockiness and slight blurring, which degrade the overall clarity and sharpness. Image 2 shows no observable distortions and maintains a clean, high-quality appearance. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior visual clarity."}
{"id": "d2350ef7-556d-4384-81be-afc1835c396f", "image_1": "Description/paired/d2350ef7-556d-4384-81be-afc1835c396f_0.png", "image_2": "Description/paired/d2350ef7-556d-4384-81be-afc1835c396f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including blockiness, blurring, and color banding, which significantly degrade the visual quality and detail. Image 2 shows no observable distortions and maintains clear, sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "c6c61ef2-9247-4bc6-bf84-9f662985051f", "image_1": "Description/paired/c6c61ef2-9247-4bc6-bf84-9f662985051f_0.png", "image_2": "Description/paired/c6c61ef2-9247-4bc6-bf84-9f662985051f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong compression artifacts, including blockiness, blurring, and loss of fine details, which significantly degrade its visual quality. Image 2 shows no observable distortions and retains sharpness and clarity throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior preservation of detail."}
{"id": "509aa37b-1a91-4d1d-a0f4-56accca6127b", "image_1": "Description/paired/509aa37b-1a91-4d1d-a0f4-56accca6127b_0.png", "image_2": "Description/paired/509aa37b-1a91-4d1d-a0f4-56accca6127b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains moderate image compression artifacts, such as blockiness and blurring, which degrade the visual clarity. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the noticeable compression artifacts in Image 2."}
{"id": "7addf6c9-d7cf-4e95-9db1-d864a924287d", "image_1": "Description/paired/7addf6c9-d7cf-4e95-9db1-d864a924287d_0.png", "image_2": "Description/paired/7addf6c9-d7cf-4e95-9db1-d864a924287d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains strong image compression artifacts, including noticeable pixelation and blurring, which degrade the visual clarity. Therefore, Image 1 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "89c73c34-bb24-4e17-b387-9dfa830baec1", "image_1": "Description/paired/89c73c34-bb24-4e17-b387-9dfa830baec1_0.png", "image_2": "Description/paired/89c73c34-bb24-4e17-b387-9dfa830baec1_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains moderate image compression artifacts, which manifest as blockiness and a loss of detail. Therefore, Image 1 has higher overall quality due to the absence of visible distortions."}
{"id": "895426da-d835-4484-b7b7-57b5d816b387", "image_1": "Description/paired/895426da-d835-4484-b7b7-57b5d816b387_0.png", "image_2": "Description/paired/895426da-d835-4484-b7b7-57b5d816b387_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including noticeable blockiness and blurring, which significantly degrade the visual quality. Image 2 shows no observable distortions and maintains clear and detailed visual information. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "f9ef11bc-367f-4215-9c77-8bfdbddb8f25", "image_1": "Description/paired/f9ef11bc-367f-4215-9c77-8bfdbddb8f25_0.png", "image_2": "Description/paired/f9ef11bc-367f-4215-9c77-8bfdbddb8f25_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image compression artifacts, including noticeable blockiness and a loss of fine details, which result in a pixelated and less clear appearance. Image 2 shows no observable distortions and maintains a high level of detail and clarity throughout. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior visual fidelity."}
{"id": "6b404d9c-299f-4a7d-a181-7735add96d1b", "image_1": "Description/paired/6b404d9c-299f-4a7d-a181-7735add96d1b_0.png", "image_2": "Description/paired/6b404d9c-299f-4a7d-a181-7735add96d1b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains moderate image compression artifacts, including noticeable blockiness and a loss of detail, which degrade the overall visual quality. Image 1 has higher overall quality due to the absence of distortions and the presence of clear, detailed visuals."}
{"id": "163df0a5-7360-4d24-86a0-c52c893f938c", "image_1": "Description/paired/163df0a5-7360-4d24-86a0-c52c893f938c_0.png", "image_2": "Description/paired/163df0a5-7360-4d24-86a0-c52c893f938c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and detailed. Image 2 exhibits moderate image compression artifacts, including blockiness and blurring, which degrade the overall clarity and detail. Therefore, Image 1 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "50a07b9b-ac98-468f-b83b-254dc2988795", "image_1": "Description/paired/50a07b9b-ac98-468f-b83b-254dc2988795_0.png", "image_2": "Description/paired/50a07b9b-ac98-468f-b83b-254dc2988795_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including noticeable blockiness and color banding, which significantly degrade the visual quality. Image 2 shows no observable distortions and maintains a clear and detailed appearance. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "d87e1fe7-d5f0-4e08-8970-0c6ddf964926", "image_1": "Description/paired/d87e1fe7-d5f0-4e08-8970-0c6ddf964926_0.png", "image_2": "Description/paired/d87e1fe7-d5f0-4e08-8970-0c6ddf964926_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and detailed. Image 2 exhibits severe image compression artifacts, including blockiness, blurriness, and color degradation, which significantly reduce the clarity and detail of the image. Therefore, Image 1 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "dd835d7a-193e-45a1-ac96-4c0456112118", "image_1": "Description/paired/dd835d7a-193e-45a1-ac96-4c0456112118_0.png", "image_2": "Description/paired/dd835d7a-193e-45a1-ac96-4c0456112118_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 exhibits severe image compression artifacts, including noticeable blockiness, color banding, and a significant loss of detail. Therefore, Image 1 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "9e1653ed-49c6-4d6e-bdb0-70dd57894a10", "image_1": "Description/paired/9e1653ed-49c6-4d6e-bdb0-70dd57894a10_0.png", "image_2": "Description/paired/9e1653ed-49c6-4d6e-bdb0-70dd57894a10_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including blockiness and a significant loss of detail, making the image appear pixelated and unclear. Image 2 shows no observable distortions and maintains a high level of detail and clarity. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior visual fidelity."}
{"id": "45a6bb03-a1bb-4471-b9f1-39830869dff0", "image_1": "Description/paired/45a6bb03-a1bb-4471-b9f1-39830869dff0_0.png", "image_2": "Description/paired/45a6bb03-a1bb-4471-b9f1-39830869dff0_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains strong image compression artifacts, including noticeable blockiness and color banding. Therefore, Image 1 has higher overall quality due to the absence of visible distortions."}
{"id": "7b6954fa-cecd-43ac-9da4-e0fdfb715cf8", "image_1": "Description/paired/7b6954fa-cecd-43ac-9da4-e0fdfb715cf8_0.png", "image_2": "Description/paired/7b6954fa-cecd-43ac-9da4-e0fdfb715cf8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including blockiness and significant loss of detail, which results in a highly pixelated and blurry appearance. Image 2 shows no observable distortions and maintains clear, detailed visuals throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "b3ec3884-988a-417c-87b2-310571db7be3", "image_1": "Description/paired/b3ec3884-988a-417c-87b2-310571db7be3_0.png", "image_2": "Description/paired/b3ec3884-988a-417c-87b2-310571db7be3_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including significant blurring and blockiness, which obscure fine details and create a highly pixelated appearance. Image 2 shows no observable distortions and maintains clear, detailed visual quality throughout. Therefore, Image 2 has higher overall quality due to its absence of distortions and superior clarity."}
{"id": "81360aae-604d-49b2-9ed3-6303318f0d2c", "image_1": "Description/paired/81360aae-604d-49b2-9ed3-6303318f0d2c_0.png", "image_2": "Description/paired/81360aae-604d-49b2-9ed3-6303318f0d2c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains severe image compression artifacts, including blockiness and color banding, which degrade the visual quality significantly. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "65407c00-e8f3-47b1-be8e-b75f72882749", "image_1": "Description/paired/65407c00-e8f3-47b1-be8e-b75f72882749_0.png", "image_2": "Description/paired/65407c00-e8f3-47b1-be8e-b75f72882749_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including blockiness and blurring, which significantly degrade the visual quality and detail of the terrain features. Image 2 shows no observable distortions and maintains clear, sharp details of the landscape. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "79f57f65-d043-4be2-a727-6f807f1e7e76", "image_1": "Description/paired/79f57f65-d043-4be2-a727-6f807f1e7e76_0.png", "image_2": "Description/paired/79f57f65-d043-4be2-a727-6f807f1e7e76_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including noticeable blockiness and color banding, which degrade the visual quality and detail. Image 2 has no observable distortions and maintains clear, sharp details with accurate color representation. Therefore, Image 2 has higher overall quality due to the absence of compression artifacts and superior visual clarity."}
{"id": "f8034586-8090-4849-868a-d623157f0daa", "image_1": "Description/paired/f8034586-8090-4849-868a-d623157f0daa_0.png", "image_2": "Description/paired/f8034586-8090-4849-868a-d623157f0daa_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 exhibits strong image compression artifacts, such as blockiness and loss of detail, particularly noticeable in the water and vegetation areas. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual details."}
{"id": "4db4dc80-ed06-4f63-bba9-e4adc3a8b0c2", "image_1": "Description/paired/4db4dc80-ed06-4f63-bba9-e4adc3a8b0c2_0.png", "image_2": "Description/paired/4db4dc80-ed06-4f63-bba9-e4adc3a8b0c2_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality. Image 2 contains severe image compression artifacts, including noticeable blockiness, color banding, and loss of detail. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual representation."}
{"id": "02ed954a-0f6b-445b-bb9b-339b604ae3c7", "image_1": "Description/paired/02ed954a-0f6b-445b-bb9b-339b604ae3c7_0.png", "image_2": "Description/paired/02ed954a-0f6b-445b-bb9b-339b604ae3c7_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe compression artifacts, including blockiness, blurring, and loss of fine details, particularly noticeable in the vegetation and road areas. Image 2 shows no visible distortions and retains clear details with smooth transitions and well-defined features. Image 2 has higher overall quality due to its lack of distortions and superior clarity compared to the heavily degraded Image 1."}
{"id": "6982927b-ca81-4ee8-9b5e-25a425655697", "image_1": "Description/paired/6982927b-ca81-4ee8-9b5e-25a425655697_0.png", "image_2": "Description/paired/6982927b-ca81-4ee8-9b5e-25a425655697_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate image compression artifacts, such as blockiness and blurring, which reduce the clarity of fine details. Therefore, Image 1 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "9306dfdf-58fb-48b9-911b-f9a5e5330b08", "image_1": "Description/paired/9306dfdf-58fb-48b9-911b-f9a5e5330b08_0.png", "image_2": "Description/paired/9306dfdf-58fb-48b9-911b-f9a5e5330b08_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 exhibits severe image compression artifacts, including noticeable blockiness and blurring, which degrade the overall clarity. Therefore, Image 1 has higher overall quality due to its lack of distortions and superior visual sharpness."}
{"id": "122b50d5-0472-42e7-bb52-7aa99d0c6641", "image_1": "Description/paired/122b50d5-0472-42e7-bb52-7aa99d0c6641_0.png", "image_2": "Description/paired/122b50d5-0472-42e7-bb52-7aa99d0c6641_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image compression artifacts, including blockiness and blurring, which reduce the clarity and sharpness of the features. Image 2 shows no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "bd1d0d02-4a69-4fe7-89ae-2af5a660c320", "image_1": "Description/paired/bd1d0d02-4a69-4fe7-89ae-2af5a660c320_0.png", "image_2": "Description/paired/bd1d0d02-4a69-4fe7-89ae-2af5a660c320_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image compression artifacts, including noticeable blockiness and blurring that reduce the clarity of fine details. Image 2 shows no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior clarity."}
{"id": "63a29afa-10dc-4311-ac00-63fa9ce45ef0", "image_1": "Description/paired/63a29afa-10dc-4311-ac00-63fa9ce45ef0_0.png", "image_2": "Description/paired/63a29afa-10dc-4311-ac00-63fa9ce45ef0_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including blockiness and blurring, which degrade the visual clarity and detail of the terrain. Image 2 shows no observable distortions and maintains high visual quality with clear and sharp details. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior clarity."}
{"id": "ee4ca9d9-23f5-45f3-9069-cec1da619692", "image_1": "Description/paired/ee4ca9d9-23f5-45f3-9069-cec1da619692_0.png", "image_2": "Description/paired/ee4ca9d9-23f5-45f3-9069-cec1da619692_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and detailed. Image 2 exhibits severe image compression artifacts, including noticeable blockiness and a significant loss of detail. Image 1 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "fb4edf02-8a69-4591-90c4-91ef8d2384dc", "image_1": "Description/paired/fb4edf02-8a69-4591-90c4-91ef8d2384dc_0.png", "image_2": "Description/paired/fb4edf02-8a69-4591-90c4-91ef8d2384dc_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits severe image compression artifacts, including blockiness and loss of detail, which degrade the visual quality significantly. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual representation."}
{"id": "0da32530-0961-4542-8ad7-2413d6aa4ab5", "image_1": "Description/paired/0da32530-0961-4542-8ad7-2413d6aa4ab5_0.png", "image_2": "Description/paired/0da32530-0961-4542-8ad7-2413d6aa4ab5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality with well-preserved details. Image 2 exhibits moderate compression artifacts, including blockiness and a loss of fine details, particularly noticeable in textured areas. Image 1 has higher overall quality because it is free of visible distortions, unlike Image 2, which suffers from compression-related degradation."}
{"id": "8d4a33a4-c5e7-4c5d-ba4c-81002789cb72", "image_1": "Description/paired/8d4a33a4-c5e7-4c5d-ba4c-81002789cb72_0.png", "image_2": "Description/paired/8d4a33a4-c5e7-4c5d-ba4c-81002789cb72_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits noticeable image compression artifacts, including blockiness and a loss of fine details, which result in a generally blurry and pixelated appearance. Image 2 shows no observable distortions and maintains clear, sharp details throughout the image. Therefore, Image 2 has higher overall quality due to its lack of compression artifacts and superior clarity."}
{"id": "40fdea5b-a5db-4d78-8aa3-4a8a67fed1d6", "image_1": "Description/paired/40fdea5b-a5db-4d78-8aa3-4a8a67fed1d6_0.png", "image_2": "Description/paired/40fdea5b-a5db-4d78-8aa3-4a8a67fed1d6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains moderate image compression artifacts, which manifest as blockiness and a loss of detail, particularly noticeable in the darker regions. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual presentation."}
{"id": "145427a3-3eea-4501-9f0c-1d0d071aee6c", "image_1": "Description/paired/145427a3-3eea-4501-9f0c-1d0d071aee6c_0.png", "image_2": "Description/paired/145427a3-3eea-4501-9f0c-1d0d071aee6c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including blockiness, blurring, and loss of fine details, which significantly degrade the visual quality. Image 2 has no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and preservation of detail."}
{"id": "5048bdec-8e30-4bb0-ba18-120821af5e26", "image_1": "Description/paired/5048bdec-8e30-4bb0-ba18-120821af5e26_0.png", "image_2": "Description/paired/5048bdec-8e30-4bb0-ba18-120821af5e26_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains strong image compression artifacts, including blockiness and loss of detail, which degrade its visual quality. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual representation."}
{"id": "4d206a68-49e3-40af-a07d-22542d415af4", "image_1": "Description/paired/4d206a68-49e3-40af-a07d-22542d415af4_0.png", "image_2": "Description/paired/4d206a68-49e3-40af-a07d-22542d415af4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 exhibits moderate image compression artifacts, including blockiness and blurring, which degrade the overall clarity and detail. Therefore, Image 1 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "c7f653d9-f141-4bfe-b0be-3cadff4c1fdc", "image_1": "Description/paired/c7f653d9-f141-4bfe-b0be-3cadff4c1fdc_0.png", "image_2": "Description/paired/c7f653d9-f141-4bfe-b0be-3cadff4c1fdc_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and clear. Image 2 exhibits moderate image compression artifacts, including blockiness and a loss of fine detail, which are particularly noticeable in the textured areas and transitions between different land covers. Therefore, Image 1 has higher overall quality due to the absence of visible distortions and clearer visual details."}
{"id": "5e1352e5-391d-4099-b12b-9ecffe667881", "image_1": "Description/paired/5e1352e5-391d-4099-b12b-9ecffe667881_0.png", "image_2": "Description/paired/5e1352e5-391d-4099-b12b-9ecffe667881_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains strong image compression artifacts, including blockiness and blurring, which degrade the visual quality. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer details."}
{"id": "662ff908-9b1f-45b4-b674-0dc218e6cb7b", "image_1": "Description/paired/662ff908-9b1f-45b4-b674-0dc218e6cb7b_0.png", "image_2": "Description/paired/662ff908-9b1f-45b4-b674-0dc218e6cb7b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains moderate image compression artifacts, including blockiness and blurring, which reduce the clarity and detail of the image. Therefore, Image 1 has higher overall quality due to its lack of visible distortions and clearer visual presentation."}
{"id": "5228d801-36e7-4a35-9096-b017be1f0cf6", "image_1": "Description/paired/5228d801-36e7-4a35-9096-b017be1f0cf6_0.png", "image_2": "Description/paired/5228d801-36e7-4a35-9096-b017be1f0cf6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains moderate image compression artifacts, such as blockiness and blurring, which degrade the overall clarity and detail. Therefore, Image 1 has higher overall quality due to the absence of visible distortions and superior visual clarity."}
{"id": "632538e3-e283-40f3-bc9f-3eb71298bed4", "image_1": "Description/paired/632538e3-e283-40f3-bc9f-3eb71298bed4_0.png", "image_2": "Description/paired/632538e3-e283-40f3-bc9f-3eb71298bed4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including blockiness and blurring, which significantly degrade the visual quality and detail. Image 2 shows no observable distortions and maintains clear, sharp details throughout. Therefore, Image 2 has higher overall quality due to the absence of compression artifacts and the preservation of fine details."}
{"id": "e59c0e59-5a7b-4273-9ee6-21eca4795fa5", "image_1": "Description/paired/e59c0e59-5a7b-4273-9ee6-21eca4795fa5_0.png", "image_2": "Description/paired/e59c0e59-5a7b-4273-9ee6-21eca4795fa5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and detailed. Image 2 exhibits severe image compression artifacts, including blockiness and loss of detail, making the image appear blurry and pixelated. Therefore, Image 1 has higher overall quality due to its clarity and lack of distortions."}
{"id": "33ce67e5-ca38-4d4d-9d2e-e648e2e17378", "image_1": "Description/paired/33ce67e5-ca38-4d4d-9d2e-e648e2e17378_0.png", "image_2": "Description/paired/33ce67e5-ca38-4d4d-9d2e-e648e2e17378_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe image compression artifacts, including blockiness and blurring, which degrade the overall clarity and detail of the image. Therefore, Image 1 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "01f79946-4f1d-404a-88f8-e3a460968bf2", "image_1": "Description/paired/01f79946-4f1d-404a-88f8-e3a460968bf2_0.png", "image_2": "Description/paired/01f79946-4f1d-404a-88f8-e3a460968bf2_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image compression artifacts, including blockiness and blurring, which significantly degrade the visual clarity and detail. Image 2 shows no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to the absence of distortions and better visual clarity."}
{"id": "2be3d71c-d1f0-45ea-9858-ef0c6f06eaa6", "image_1": "Description/paired/2be3d71c-d1f0-45ea-9858-ef0c6f06eaa6_0.png", "image_2": "Description/paired/2be3d71c-d1f0-45ea-9858-ef0c6f06eaa6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including noticeable blockiness and pixelation, which degrade the visual clarity and detail of the scene. Image 2 shows no observable distortions and maintains clear, high-quality visual details throughout. Therefore, Image 2 has higher overall quality due to the absence of compression artifacts and superior visual clarity."}
{"id": "635225e2-823a-44f4-ad6b-095f51a3661a", "image_1": "Description/paired/635225e2-823a-44f4-ad6b-095f51a3661a_0.png", "image_2": "Description/paired/635225e2-823a-44f4-ad6b-095f51a3661a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 exhibits strong image compression artifacts, including blockiness and a significant loss of detail, making the image appear blurry and pixelated. Image 1 has higher overall quality due to its clear and undistorted presentation compared to the heavily compressed and degraded Image 2."}
{"id": "204e1fff-0bc4-4549-9d72-b6f6977e0583", "image_1": "Description/paired/204e1fff-0bc4-4549-9d72-b6f6977e0583_0.png", "image_2": "Description/paired/204e1fff-0bc4-4549-9d72-b6f6977e0583_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including blockiness and blurring, which significantly degrade the visual quality and detail of the terrain. Image 2 has no observable distortions and maintains clear, sharp details throughout the image. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "76751f87-1951-4211-a3a5-725922afc3e1", "image_1": "Description/paired/76751f87-1951-4211-a3a5-725922afc3e1_0.png", "image_2": "Description/paired/76751f87-1951-4211-a3a5-725922afc3e1_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains strong image compression artifacts, including noticeable blockiness and loss of detail, which degrade the visual quality. Therefore, Image 1 has higher overall quality due to the absence of distortions and clearer visual details."}
{"id": "be20bd58-fd40-4643-bab0-7f40a85af179", "image_1": "Description/paired/be20bd58-fd40-4643-bab0-7f40a85af179_0.png", "image_2": "Description/paired/be20bd58-fd40-4643-bab0-7f40a85af179_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image compression artifacts, including blockiness and blurring, which significantly degrade the visual quality and detail of the image. Image 2 shows no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "0515a173-2fec-4968-956d-61a520041244", "image_1": "Description/paired/0515a173-2fec-4968-956d-61a520041244_0.png", "image_2": "Description/paired/0515a173-2fec-4968-956d-61a520041244_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong image compression artifacts, including noticeable blockiness and blurring, which degrade the visual quality. Therefore, Image 1 has higher overall quality due to the absence of distortions and clearer visual details."}
{"id": "cf609a58-fa92-4137-afe4-9577a6557c5c", "image_1": "Description/paired/cf609a58-fa92-4137-afe4-9577a6557c5c_0.png", "image_2": "Description/paired/cf609a58-fa92-4137-afe4-9577a6557c5c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains severe color distortion artifacts, with a prominent yellowish tint affecting the entire image. Image 1 has higher overall quality due to its lack of distortions and more accurate color representation."}
{"id": "634d4f2d-a78a-487f-95d8-6117599e8bf8", "image_1": "Description/paired/634d4f2d-a78a-487f-95d8-6117599e8bf8_0.png", "image_2": "Description/paired/634d4f2d-a78a-487f-95d8-6117599e8bf8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe color distortion artifacts, appearing overly saturated with a dominant green hue that obscures finer details. Image 2 has no observable distortions and maintains a natural color balance with clear visibility of details. Therefore, Image 2 has higher overall quality due to its accurate color representation and clarity."}
{"id": "0457c571-7e45-4c94-be32-9af2c77a8c09", "image_1": "Description/paired/0457c571-7e45-4c94-be32-9af2c77a8c09_0.png", "image_2": "Description/paired/0457c571-7e45-4c94-be32-9af2c77a8c09_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits severe color distortion, with an unnatural greenish-yellow tint affecting the entire image. Therefore, Image 1 has higher overall quality due to the absence of any distortions compared to the significant color artifacts in Image 2."}
{"id": "0ae64f81-44f6-4ced-91b3-52a288b6533d", "image_1": "Description/paired/0ae64f81-44f6-4ced-91b3-52a288b6533d_0.png", "image_2": "Description/paired/0ae64f81-44f6-4ced-91b3-52a288b6533d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe color distortion, appearing overly dark and greenish, which obscures finer details and makes the image look unnatural. Image 2 has no observable distortions and maintains a natural color balance with clearer visibility of details. Therefore, Image 2 has higher overall quality due to its accurate color representation and clarity."}
{"id": "16b9353e-eef2-44c6-9d05-8ebb475b82ef", "image_1": "Description/paired/16b9353e-eef2-44c6-9d05-8ebb475b82ef_0.png", "image_2": "Description/paired/16b9353e-eef2-44c6-9d05-8ebb475b82ef_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe color distortion artifacts, with an unnatural purple hue dominating the scene, obscuring the true colors and details of the landscape. Image 2 shows no observable distortions, presenting a clear and natural color representation of the area. Therefore, Image 2 has higher overall quality due to its accurate and undistorted color depiction."}
{"id": "ae65ad11-41c3-4400-ae42-b24d29be57b5", "image_1": "Description/paired/ae65ad11-41c3-4400-ae42-b24d29be57b5_0.png", "image_2": "Description/paired/ae65ad11-41c3-4400-ae42-b24d29be57b5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits severe color distortion, with a noticeable yellow-green tint affecting the entire image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "0bd48ac3-229d-4315-898f-b8b613812d8b", "image_1": "Description/paired/0bd48ac3-229d-4315-898f-b8b613812d8b_0.png", "image_2": "Description/paired/0bd48ac3-229d-4315-898f-b8b613812d8b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate color distortion, appearing with a noticeable greenish tint that affects the natural color balance of the scene. Image 2 shows no observable distortions and maintains a more accurate and natural color representation. Therefore, Image 2 has higher overall quality due to its lack of color distortion and more realistic color fidelity."}
{"id": "e02ccbbe-b8e9-4c13-883b-d905bd0ca35c", "image_1": "Description/paired/e02ccbbe-b8e9-4c13-883b-d905bd0ca35c_0.png", "image_2": "Description/paired/e02ccbbe-b8e9-4c13-883b-d905bd0ca35c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe color distortion artifacts, with a prominent purple hue overlaying the entire image, which significantly alters the natural colors. Therefore, Image 1 has higher overall quality due to its lack of distortions and accurate color representation."}
{"id": "9f54b4a5-37a5-4e90-a794-e2d4442b7ecf", "image_1": "Description/paired/9f54b4a5-37a5-4e90-a794-e2d4442b7ecf_0.png", "image_2": "Description/paired/9f54b4a5-37a5-4e90-a794-e2d4442b7ecf_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean with natural colors. Image 2 contains strong color distortion, exhibiting a noticeable greenish-blue tint that affects the overall appearance. Therefore, Image 1 has higher overall quality due to its accurate color representation and lack of distortions."}
{"id": "e0b75d36-f2b9-4eb2-88aa-f472c82dbbb3", "image_1": "Description/paired/e0b75d36-f2b9-4eb2-88aa-f472c82dbbb3_0.png", "image_2": "Description/paired/e0b75d36-f2b9-4eb2-88aa-f472c82dbbb3_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong color distortion artifacts, with an unnatural greenish tint affecting the entire image. Therefore, Image 1 has higher overall quality due to its lack of distortions and more natural appearance."}
{"id": "5c492d6d-1921-4ee9-a766-070d22f3538e", "image_1": "Description/paired/5c492d6d-1921-4ee9-a766-070d22f3538e_0.png", "image_2": "Description/paired/5c492d6d-1921-4ee9-a766-070d22f3538e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate color distortion, with an unnatural magenta hue dominating the scene and obscuring finer details. Image 2 shows no observable distortions, maintaining natural colors and better clarity. Therefore, Image 2 has higher overall quality due to its accurate color representation and lack of visible artifacts."}
{"id": "47d0716c-b69f-4969-8de7-8289c9e2a6f8", "image_1": "Description/paired/47d0716c-b69f-4969-8de7-8289c9e2a6f8_0.png", "image_2": "Description/paired/47d0716c-b69f-4969-8de7-8289c9e2a6f8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits moderate color distortion, with a noticeable purple hue overlaying the entire image, affecting the natural color balance. Therefore, Image 1 has higher overall quality due to the absence of color distortions present in Image 2."}
{"id": "3fa02f3d-3fe7-41da-bcdc-1644dd64dd54", "image_1": "Description/paired/3fa02f3d-3fe7-41da-bcdc-1644dd64dd54_0.png", "image_2": "Description/paired/3fa02f3d-3fe7-41da-bcdc-1644dd64dd54_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains strong color distortion artifacts, with a noticeable greenish-blue tint affecting the overall color balance. Image 1 has higher overall quality due to the absence of distortions and more accurate color representation."}
{"id": "2102a56d-899d-4490-8c11-47fb97436b5e", "image_1": "Description/paired/2102a56d-899d-4490-8c11-47fb97436b5e_0.png", "image_2": "Description/paired/2102a56d-899d-4490-8c11-47fb97436b5e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe color distortion artifacts, with the entire image overlaid in a strong magenta hue that obscures natural colors and details. Therefore, Image 1 has higher overall quality due to the absence of any distortions compared to the significant color distortion in Image 2."}
{"id": "6de29a1e-571d-4050-b7c5-a33f08186942", "image_1": "Description/paired/6de29a1e-571d-4050-b7c5-a33f08186942_0.png", "image_2": "Description/paired/6de29a1e-571d-4050-b7c5-a33f08186942_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate color distortion artifacts, with a noticeable yellowish tint affecting the overall color balance. Therefore, Image 1 has higher overall quality due to its lack of distortions and more accurate color representation."}
{"id": "984810ce-446d-4753-be54-d17c7ed22fd1", "image_1": "Description/paired/984810ce-446d-4753-be54-d17c7ed22fd1_0.png", "image_2": "Description/paired/984810ce-446d-4753-be54-d17c7ed22fd1_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits strong color distortion artifacts, with an overall darker tone and unnatural color shifts that obscure details. Therefore, Image 1 has higher overall quality due to its clear and undistorted visual representation."}
{"id": "c8a2740a-ac23-4d3f-9ce6-74751ee370ee", "image_1": "Description/paired/c8a2740a-ac23-4d3f-9ce6-74751ee370ee_0.png", "image_2": "Description/paired/c8a2740a-ac23-4d3f-9ce6-74751ee370ee_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong color distortion artifacts, with a noticeable greenish tint that affects the overall color balance and natural appearance of the landscape. Therefore, Image 1 has higher overall quality due to the absence of color distortions and a more natural representation of the scene."}
{"id": "8168800b-76de-465a-a162-0f9331db293f", "image_1": "Description/paired/8168800b-76de-465a-a162-0f9331db293f_0.png", "image_2": "Description/paired/8168800b-76de-465a-a162-0f9331db293f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe color distortion artifacts, with an unnatural yellowish-green tint that affects the overall visibility and realism of the scene. Image 2 shows no observable distortions and maintains natural color balance and clarity. Therefore, Image 2 has higher overall quality due to its accurate color representation and lack of visual artifacts."}
{"id": "7c903705-af9b-430e-97b1-02a85d74efce", "image_1": "Description/paired/7c903705-af9b-430e-97b1-02a85d74efce_0.png", "image_2": "Description/paired/7c903705-af9b-430e-97b1-02a85d74efce_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 exhibits moderate color distortion artifacts, with an overall darker tone and a greenish hue that affects the natural color representation. Therefore, Image 1 has higher overall quality due to its accurate color representation and lack of distortions."}
{"id": "8964ec4d-8ef9-46eb-8277-95caf4972bb7", "image_1": "Description/paired/8964ec4d-8ef9-46eb-8277-95caf4972bb7_0.png", "image_2": "Description/paired/8964ec4d-8ef9-46eb-8277-95caf4972bb7_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits severe color distortion artifacts, with an unnatural yellow-green tint affecting the entire image and obscuring natural colors. Therefore, Image 1 has higher overall quality due to its accurate and undistorted color representation."}
{"id": "0844b46a-3593-43b3-b339-7b45ac3493b5", "image_1": "Description/paired/0844b46a-3593-43b3-b339-7b45ac3493b5_0.png", "image_2": "Description/paired/0844b46a-3593-43b3-b339-7b45ac3493b5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate color distortion artifacts, with a noticeable purple hue overlaying the entire image, affecting the natural color representation of the landscape. Image 2 shows no observable distortions and maintains accurate and natural color representation of the terrain. Therefore, Image 2 has higher overall quality due to its accurate color fidelity and lack of distortions."}
{"id": "e5d415d9-3de4-4333-a1d9-5e3572085a02", "image_1": "Description/paired/e5d415d9-3de4-4333-a1d9-5e3572085a02_0.png", "image_2": "Description/paired/e5d415d9-3de4-4333-a1d9-5e3572085a02_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits severe color distortion, with an overwhelming magenta hue that obscures natural colors and details. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "44baee64-4e7d-4e7e-ab48-8cb8f3af33e5", "image_1": "Description/paired/44baee64-4e7d-4e7e-ab48-8cb8f3af33e5_0.png", "image_2": "Description/paired/44baee64-4e7d-4e7e-ab48-8cb8f3af33e5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe color distortion, with an overall yellowish-green tint that affects the natural appearance of the landscape. Image 2 has no observable distortions and presents a clear, natural color balance. Therefore, Image 2 has higher overall quality due to its accurate color representation and lack of distortions."}
{"id": "ff87c71d-507e-48e5-ad3b-9616708253f2", "image_1": "Description/paired/ff87c71d-507e-48e5-ad3b-9616708253f2_0.png", "image_2": "Description/paired/ff87c71d-507e-48e5-ad3b-9616708253f2_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe color distortion, with an overwhelming pink hue that obscures natural color variations and details in the terrain. Image 2 has no observable distortions and presents natural color variations and clear details of the landscape. Therefore, Image 2 has higher overall quality due to its accurate color representation and clarity."}
{"id": "8765ca98-8be2-4dbc-b7bc-b068c7ebf7cb", "image_1": "Description/paired/8765ca98-8be2-4dbc-b7bc-b068c7ebf7cb_0.png", "image_2": "Description/paired/8765ca98-8be2-4dbc-b7bc-b068c7ebf7cb_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate color distortion artifacts, appearing with an unnatural purple hue that affects the overall visibility and interpretation of the terrain. Image 2 shows no observable distortions and maintains natural color representation, providing a clear and accurate depiction of the landscape. Therefore, Image 2 has higher overall quality due to its accurate color representation and absence of distortions."}
{"id": "8b53f3b2-5368-4d63-8d79-8e55d3474450", "image_1": "Description/paired/8b53f3b2-5368-4d63-8d79-8e55d3474450_0.png", "image_2": "Description/paired/8b53f3b2-5368-4d63-8d79-8e55d3474450_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate color distortion artifacts, with an overall yellowish tint that affects the natural color balance of the terrain. Image 2 shows no observable distortions and maintains a natural color balance with clear visibility of the landscape features. Therefore, Image 2 has higher overall quality due to its accurate color representation and lack of distortions."}
{"id": "2b2aa789-1b01-40f9-bae2-9674f0b7b4a5", "image_1": "Description/paired/2b2aa789-1b01-40f9-bae2-9674f0b7b4a5_0.png", "image_2": "Description/paired/2b2aa789-1b01-40f9-bae2-9674f0b7b4a5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate color distortion artifacts, with a noticeable yellowish tint that affects the natural appearance of the terrain. Image 2 shows no observable distortions and maintains a more natural and balanced color representation. Therefore, Image 2 has higher overall quality due to its accurate and distortion-free color rendering."}
{"id": "3b052d84-1a16-4d2c-a631-736ea0a9463e", "image_1": "Description/paired/3b052d84-1a16-4d2c-a631-736ea0a9463e_0.png", "image_2": "Description/paired/3b052d84-1a16-4d2c-a631-736ea0a9463e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and natural. Image 2 contains strong color distortion artifacts, with an unnatural greenish tint affecting the entire image. Therefore, Image 1 has higher overall quality due to the absence of color distortions."}
{"id": "995ef4d3-a7f8-4f10-ba35-cb00f9bd9d06", "image_1": "Description/paired/995ef4d3-a7f8-4f10-ba35-cb00f9bd9d06_0.png", "image_2": "Description/paired/995ef4d3-a7f8-4f10-ba35-cb00f9bd9d06_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe color distortion artifacts, with an unnatural magenta hue overlaying the entire image, obscuring natural colors and details. Therefore, Image 1 has higher overall quality due to its accurate color representation and lack of distortions."}
{"id": "5cbe506b-e233-429b-aeb8-3c950826a4b6", "image_1": "Description/paired/5cbe506b-e233-429b-aeb8-3c950826a4b6_0.png", "image_2": "Description/paired/5cbe506b-e233-429b-aeb8-3c950826a4b6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong color distortion, with an unnatural yellowish hue that affects the overall appearance and obscures natural color variations. Image 2 has no observable distortions and presents a natural color balance, making the terrain features more distinguishable. Therefore, Image 2 has higher overall quality due to its accurate color representation and lack of distortions."}
{"id": "64eb00ab-38df-4755-82d1-5468ff864abf", "image_1": "Description/paired/64eb00ab-38df-4755-82d1-5468ff864abf_0.png", "image_2": "Description/paired/64eb00ab-38df-4755-82d1-5468ff864abf_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe color distortion, with a noticeable greenish tint and reduced color fidelity, making the details less clear and the colors appear unnatural. Image 2 has no observable distortions, maintaining accurate color representation and clearer details. Therefore, Image 2 has higher overall quality due to its accurate color representation and clarity."}
{"id": "ec34aede-7156-40ff-8a6d-14a084419f5f", "image_1": "Description/paired/ec34aede-7156-40ff-8a6d-14a084419f5f_0.png", "image_2": "Description/paired/ec34aede-7156-40ff-8a6d-14a084419f5f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean. Image 2 exhibits strong color distortion artifacts, with a noticeable yellowish tint affecting the overall image quality. Therefore, Image 1 has higher overall quality due to the absence of distortions."}
{"id": "917762fd-deae-43e0-b3e4-cadffc062993", "image_1": "Description/paired/917762fd-deae-43e0-b3e4-cadffc062993_0.png", "image_2": "Description/paired/917762fd-deae-43e0-b3e4-cadffc062993_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong color distortion, appearing with an unnatural purple hue that affects the entire image. Image 2 shows no observable distortions and maintains natural color representation. Therefore, Image 2 has higher overall quality due to its accurate and undistorted color presentation."}
{"id": "990a12d0-1c9f-437a-b77b-d3d18138fdac", "image_1": "Description/paired/990a12d0-1c9f-437a-b77b-d3d18138fdac_0.png", "image_2": "Description/paired/990a12d0-1c9f-437a-b77b-d3d18138fdac_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate color distortion, with an overall darker tone and unnatural greenish hues that obscure finer details in the landscape. Image 2 shows no observable distortions, maintaining natural colors and better contrast that enhance the visibility of terrain features. Image 2 has higher overall quality due to its accurate color representation and improved clarity."}
{"id": "2b0f834a-2e52-4133-8364-2c1ada0270e2", "image_1": "Description/paired/2b0f834a-2e52-4133-8364-2c1ada0270e2_0.png", "image_2": "Description/paired/2b0f834a-2e52-4133-8364-2c1ada0270e2_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains severe color distortion artifacts, with an unnatural greenish hue and darkened areas that obscure details. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual representation."}
{"id": "3e9caa28-ccd6-4cc6-b844-75d8c6124375", "image_1": "Description/paired/3e9caa28-ccd6-4cc6-b844-75d8c6124375_0.png", "image_2": "Description/paired/3e9caa28-ccd6-4cc6-b844-75d8c6124375_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe color distortion, appearing with an unnatural pink hue that affects the entire image. Image 2 has no observable distortions and maintains a natural color balance. Therefore, Image 2 has higher overall quality due to its accurate color representation and lack of distortions."}
{"id": "cfd05385-abb8-4e40-88f3-083b97ba40c2", "image_1": "Description/paired/cfd05385-abb8-4e40-88f3-083b97ba40c2_0.png", "image_2": "Description/paired/cfd05385-abb8-4e40-88f3-083b97ba40c2_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate color distortion artifacts, with a noticeable purple tint affecting the natural appearance of the water and ice. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "d7b019d3-ce4e-472d-8198-ee90dd324dd4", "image_1": "Description/paired/d7b019d3-ce4e-472d-8198-ee90dd324dd4_0.png", "image_2": "Description/paired/d7b019d3-ce4e-472d-8198-ee90dd324dd4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate color distortion artifacts, appearing with a reddish hue that affects the natural color balance of the image. Image 2 has no observable distortions and maintains a more natural color representation. Therefore, Image 2 has higher overall quality due to its accurate color fidelity and lack of distortions."}
{"id": "2d6ecc7c-483b-4219-8a7d-5c20fff6a3c3", "image_1": "Description/paired/2d6ecc7c-483b-4219-8a7d-5c20fff6a3c3_0.png", "image_2": "Description/paired/2d6ecc7c-483b-4219-8a7d-5c20fff6a3c3_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe color distortion, with an overall greenish tint that affects the natural appearance of the landscape. Image 2 shows no observable distortions and maintains a natural color balance. Therefore, Image 2 has higher overall quality due to its accurate color representation and lack of distortions."}
{"id": "484d56ca-95a3-40b1-a145-2b4bb3934230", "image_1": "Description/paired/484d56ca-95a3-40b1-a145-2b4bb3934230_0.png", "image_2": "Description/paired/484d56ca-95a3-40b1-a145-2b4bb3934230_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean with natural colors and clear details. Image 2 exhibits moderate color distortion, with an unnatural greenish tint affecting the vegetation and structures, reducing the fidelity of the scene. Image 1 has higher overall quality because it is free of distortions, while Image 2 is degraded by noticeable color artifacts."}
{"id": "93824bdd-36cb-4700-a0c2-4c34eb529dcf", "image_1": "Description/paired/93824bdd-36cb-4700-a0c2-4c34eb529dcf_0.png", "image_2": "Description/paired/93824bdd-36cb-4700-a0c2-4c34eb529dcf_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits a noticeable color distortion, appearing predominantly pink, which is not representative of natural colors. Image 2 shows no observable distortions and maintains a natural color balance. Therefore, Image 2 has higher overall quality due to its accurate and undistorted color representation."}
{"id": "a8528d71-039e-4f48-8667-f4bce085cac5", "image_1": "Description/paired/a8528d71-039e-4f48-8667-f4bce085cac5_0.png", "image_2": "Description/paired/a8528d71-039e-4f48-8667-f4bce085cac5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong color distortion, with an unnatural purple hue affecting the entire scene and reducing the visibility of natural colors. Image 2 shows no observable distortions, with accurate and natural color representation and clear details. Image 2 has higher overall quality due to its lack of distortions and more realistic color fidelity."}
{"id": "06c1ca1a-f9a6-4c4a-94f5-17efb9ddc1eb", "image_1": "Description/paired/06c1ca1a-f9a6-4c4a-94f5-17efb9ddc1eb_0.png", "image_2": "Description/paired/06c1ca1a-f9a6-4c4a-94f5-17efb9ddc1eb_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate color distortion, with a noticeable reddish hue that affects the natural appearance of the terrain. Image 2 shows no observable distortions and maintains natural color fidelity. Therefore, Image 2 has higher overall quality due to its accurate color representation and lack of distortions."}
{"id": "62bd981d-3d42-43a9-9e23-b83a258453b2", "image_1": "Description/paired/62bd981d-3d42-43a9-9e23-b83a258453b2_0.png", "image_2": "Description/paired/62bd981d-3d42-43a9-9e23-b83a258453b2_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits moderate color distortion, with a noticeable pinkish hue overlaying the entire image, affecting the natural color representation of the landscape. Therefore, Image 1 has higher overall quality due to the absence of color distortions present in Image 2."}
{"id": "72dee0a9-ada2-4b8d-b4c4-285d911b2732", "image_1": "Description/paired/72dee0a9-ada2-4b8d-b4c4-285d911b2732_0.png", "image_2": "Description/paired/72dee0a9-ada2-4b8d-b4c4-285d911b2732_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and natural. Image 2 contains strong color distortion artifacts, with a pervasive pinkish-red hue that affects the entire image, making it look unnatural. Therefore, Image 1 has higher overall quality due to its lack of distortions and more natural appearance."}
{"id": "d9f2529e-0c76-4211-b89d-e4e3d776aaa6", "image_1": "Description/paired/d9f2529e-0c76-4211-b89d-e4e3d776aaa6_0.png", "image_2": "Description/paired/d9f2529e-0c76-4211-b89d-e4e3d776aaa6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits moderate color distortion artifacts, with an overall pinkish hue that affects the natural color representation of the terrain. Therefore, Image 1 has higher overall quality due to its accurate and undistorted color representation."}
{"id": "0917edf0-03ea-4bfa-ba52-f51fba7594e1", "image_1": "Description/paired/0917edf0-03ea-4bfa-ba52-f51fba7594e1_0.png", "image_2": "Description/paired/0917edf0-03ea-4bfa-ba52-f51fba7594e1_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits moderate color distortion artifacts, with an overall reddish hue that affects the natural color balance of the scene. Therefore, Image 1 has higher overall quality due to its lack of distortions and more accurate color representation."}
{"id": "cba5aeea-5593-447d-9b58-10c8ba572f98", "image_1": "Description/paired/cba5aeea-5593-447d-9b58-10c8ba572f98_0.png", "image_2": "Description/paired/cba5aeea-5593-447d-9b58-10c8ba572f98_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate color distortion artifacts, with an overall reddish hue that affects the natural color balance of the terrain. Image 2 shows no observable distortions and maintains a natural color balance, accurately representing the landscape. Therefore, Image 2 has higher overall quality due to its lack of color distortion and more realistic representation of the scene."}
{"id": "6be2e6aa-2189-4199-95a8-ddf6c155ef5b", "image_1": "Description/paired/6be2e6aa-2189-4199-95a8-ddf6c155ef5b_0.png", "image_2": "Description/paired/6be2e6aa-2189-4199-95a8-ddf6c155ef5b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong color distortion artifacts, appearing with an unnatural pink hue that affects the overall visual quality. Image 2 shows no observable distortions and maintains a natural color balance and clarity. Therefore, Image 2 has higher overall quality due to its accurate color representation and lack of distortions."}
{"id": "8b30b357-85c4-475e-a411-67f3614d3e75", "image_1": "Description/paired/8b30b357-85c4-475e-a411-67f3614d3e75_0.png", "image_2": "Description/paired/8b30b357-85c4-475e-a411-67f3614d3e75_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits severe color distortion, with an overall greenish tint that affects the natural color representation of the scene. Therefore, Image 1 has higher overall quality due to the absence of color distortions present in Image 2."}
{"id": "6a0ae1a3-d31a-44a5-aeba-0b60c0a502cd", "image_1": "Description/paired/6a0ae1a3-d31a-44a5-aeba-0b60c0a502cd_0.png", "image_2": "Description/paired/6a0ae1a3-d31a-44a5-aeba-0b60c0a502cd_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe color distortion artifacts, with a prominent purple hue overlaying the entire image, which affects the natural color representation of the landscape. Image 2 shows no observable distortions and maintains accurate and clear color representation of the area. Therefore, Image 2 has higher overall quality due to its accurate color fidelity and lack of distortions."}
{"id": "ee28954d-f2ff-49e9-aad1-bc144b827bee", "image_1": "Description/paired/ee28954d-f2ff-49e9-aad1-bc144b827bee_0.png", "image_2": "Description/paired/ee28954d-f2ff-49e9-aad1-bc144b827bee_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate color distortion artifacts, appearing darker with a greenish tint and less contrast compared to the reference image. Image 2 shows no observable distortions and maintains a clear, high-quality appearance with natural color balance and good contrast. Therefore, Image 2 has higher overall quality due to its lack of distortions and more accurate color representation."}
{"id": "f0fa92ec-cc57-4246-8bbf-a3ab7964e069", "image_1": "Description/paired/f0fa92ec-cc57-4246-8bbf-a3ab7964e069_0.png", "image_2": "Description/paired/f0fa92ec-cc57-4246-8bbf-a3ab7964e069_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe color distortion, with an unnatural greenish hue dominating the landscape, which is not representative of the true colors of the terrain. Image 2 shows no observable distortions and presents natural, realistic colors that accurately reflect the landscape. Therefore, Image 2 has higher overall quality due to its accurate color representation and lack of distortions."}
{"id": "6ed0f0f9-6e42-40a4-a033-c836bbffae2e", "image_1": "Description/paired/6ed0f0f9-6e42-40a4-a033-c836bbffae2e_0.png", "image_2": "Description/paired/6ed0f0f9-6e42-40a4-a033-c836bbffae2e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong color distortion artifacts, with an unnatural greenish hue overlaying the entire scene, making it difficult to discern natural features accurately. Image 2 shows no observable distortions and presents a clear, natural color representation of the terrain. Therefore, Image 2 has higher overall quality due to its accurate and undistorted color representation."}
{"id": "facf0a09-d01a-4480-b6b8-457fcbed10d4", "image_1": "Description/paired/facf0a09-d01a-4480-b6b8-457fcbed10d4_0.png", "image_2": "Description/paired/facf0a09-d01a-4480-b6b8-457fcbed10d4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe color distortion, appearing with an unnatural blue tint that affects the overall visibility and interpretation of the landscape features. Image 2 shows no observable distortions, presenting natural and realistic colors that enhance the clarity and detail of the terrain. Therefore, Image 2 has higher overall quality due to its accurate color representation and lack of visual artifacts."}
{"id": "dcd9f483-a035-4469-bad9-d1359919afcd", "image_1": "Description/paired/dcd9f483-a035-4469-bad9-d1359919afcd_0.png", "image_2": "Description/paired/dcd9f483-a035-4469-bad9-d1359919afcd_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits strong color distortion artifacts, with an overall washed-out appearance and unnatural color tones. Therefore, Image 1 has higher overall quality due to the absence of distortions and more natural color representation."}
{"id": "e1c04772-81e1-4afe-87c2-28bd32eb422b", "image_1": "Description/paired/e1c04772-81e1-4afe-87c2-28bd32eb422b_0.png", "image_2": "Description/paired/e1c04772-81e1-4afe-87c2-28bd32eb422b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong color distortion, with an unnatural pink hue dominating the entire scene, making it difficult to discern natural features accurately. Image 2 shows no observable distortions and presents a natural color balance with clear and distinct features. Therefore, Image 2 has higher overall quality due to its accurate color representation and lack of visual artifacts."}
{"id": "2455925d-a320-44cb-a3c9-d2e358e9090c", "image_1": "Description/paired/2455925d-a320-44cb-a3c9-d2e358e9090c_0.png", "image_2": "Description/paired/2455925d-a320-44cb-a3c9-d2e358e9090c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits severe color distortion artifacts, with an unnatural blue tint affecting the entire image and making the terrain and structures appear unrealistic. Therefore, Image 1 has higher overall quality due to the absence of distortions and more accurate color representation."}
{"id": "ab97d83e-d5d9-49b9-884b-79eabe7c41e4", "image_1": "Description/paired/ab97d83e-d5d9-49b9-884b-79eabe7c41e4_0.png", "image_2": "Description/paired/ab97d83e-d5d9-49b9-884b-79eabe7c41e4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong color distortion, with an unnatural purple hue dominating the entire scene, making it difficult to discern natural features accurately. Image 2 has no observable distortions and presents a natural, true-to-life color representation of the terrain. Therefore, Image 2 has higher overall quality due to its accurate and undistorted color representation."}
{"id": "1a8b14d5-e9c0-4195-8b05-84549d7ea2d5", "image_1": "Description/paired/1a8b14d5-e9c0-4195-8b05-84549d7ea2d5_0.png", "image_2": "Description/paired/1a8b14d5-e9c0-4195-8b05-84549d7ea2d5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe color distortion, with an overall blue tint that affects the natural appearance of the terrain and water features. Image 2 has no observable distortions and presents a natural color balance, accurately depicting the landscape. Therefore, Image 2 has higher overall quality due to its accurate and undistorted color representation."}
{"id": "d289b75e-48b1-4247-8db5-1c4528ed3256", "image_1": "Description/paired/d289b75e-48b1-4247-8db5-1c4528ed3256_0.png", "image_2": "Description/paired/d289b75e-48b1-4247-8db5-1c4528ed3256_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate image stretching artifacts, which manifest as elongated and distorted features, particularly noticeable in the terrain and geological formations. Image 1 has higher overall quality because it lacks the stretching distortions present in Image 2."}
{"id": "48dd9074-926b-48ec-8a91-e07d7884fecc", "image_1": "Description/paired/48dd9074-926b-48ec-8a91-e07d7884fecc_0.png", "image_2": "Description/paired/48dd9074-926b-48ec-8a91-e07d7884fecc_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image stretching artifacts, which manifest as elongated and distorted features, making the structures and vegetation appear unnaturally stretched and less clear. Image 2 shows no observable distortions, with clear and well-defined features that accurately represent the structures and vegetation. Therefore, Image 2 has higher overall quality due to its lack of distortions and more accurate representation of the scene."}
{"id": "0207e7d1-c0ce-4a6e-aaaa-db1e57101dd5", "image_1": "Description/paired/0207e7d1-c0ce-4a6e-aaaa-db1e57101dd5_0.png", "image_2": "Description/paired/0207e7d1-c0ce-4a6e-aaaa-db1e57101dd5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate image stretching artifacts, which manifest as elongated and distorted features that disrupt the natural appearance of the terrain. Therefore, Image 1 has higher overall quality due to the absence of any visible distortions."}
{"id": "6ee70d8f-37a9-460c-ba4e-10710ef3f01b", "image_1": "Description/paired/6ee70d8f-37a9-460c-ba4e-10710ef3f01b_0.png", "image_2": "Description/paired/6ee70d8f-37a9-460c-ba4e-10710ef3f01b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and high-quality. Image 2 contains moderate image stretching artifacts, which are evident as elongated and distorted features that disrupt the natural appearance of the landscape. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the noticeable stretching artifacts in Image 2."}
{"id": "f2da9725-66cd-4651-b5a9-296a22466158", "image_1": "Description/paired/f2da9725-66cd-4651-b5a9-296a22466158_0.png", "image_2": "Description/paired/f2da9725-66cd-4651-b5a9-296a22466158_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image stretching artifacts, resulting in a visibly distorted and pixelated appearance. Image 2 shows no observable distortions and maintains a clear and sharp visual quality. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "61fd10f1-cb42-4f87-9952-c02912da3874", "image_1": "Description/paired/61fd10f1-cb42-4f87-9952-c02912da3874_0.png", "image_2": "Description/paired/61fd10f1-cb42-4f87-9952-c02912da3874_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and high-quality. Image 2 contains severe image stretching artifacts, which are evident as elongated and distorted features that disrupt the natural appearance of the terrain. Therefore, Image 1 has higher overall quality due to its lack of distortions and more accurate representation of the landscape."}
{"id": "0551b1e0-369e-4e29-b3b0-86dd06c0a952", "image_1": "Description/paired/0551b1e0-369e-4e29-b3b0-86dd06c0a952_0.png", "image_2": "Description/paired/0551b1e0-369e-4e29-b3b0-86dd06c0a952_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality. Image 2 exhibits severe stretching artifacts, with noticeable elongation and deformation of features, leading to a loss of spatial fidelity. Therefore, Image 1 has higher overall quality due to its lack of distortions and better preservation of structural details."}
{"id": "e93061b9-0cd2-45e6-ab5c-bfd31afb022f", "image_1": "Description/paired/e93061b9-0cd2-45e6-ab5c-bfd31afb022f_0.png", "image_2": "Description/paired/e93061b9-0cd2-45e6-ab5c-bfd31afb022f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image stretching artifacts, which are visible as elongated and distorted features, particularly noticeable in the linear elements and the overall geometry of the landscape. Image 2 shows no observable distortions and maintains a clear, high-quality representation of the terrain. Therefore, Image 2 has higher overall quality due to the absence of distortions and the preservation of accurate spatial relationships."}
{"id": "118d44a6-c81e-404e-b5cb-ad8fa50ea7bb", "image_1": "Description/paired/118d44a6-c81e-404e-b5cb-ad8fa50ea7bb_0.png", "image_2": "Description/paired/118d44a6-c81e-404e-b5cb-ad8fa50ea7bb_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong image stretching artifacts, making the features appear elongated and distorted. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the evident stretching artifacts in Image 2."}
{"id": "a734837c-be0a-4bd4-9e5c-e6f7f17194ff", "image_1": "Description/paired/a734837c-be0a-4bd4-9e5c-e6f7f17194ff_0.png", "image_2": "Description/paired/a734837c-be0a-4bd4-9e5c-e6f7f17194ff_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and free of artifacts. Image 2 exhibits strong stretching artifacts, visible as elongated and warped features that distort the natural appearance of the terrain. Image 1 has higher overall quality because it is free of distortions, unlike Image 2, which is significantly degraded by stretching artifacts."}
{"id": "95c3055a-03c8-4b21-aadd-25b3b8ed6188", "image_1": "Description/paired/95c3055a-03c8-4b21-aadd-25b3b8ed6188_0.png", "image_2": "Description/paired/95c3055a-03c8-4b21-aadd-25b3b8ed6188_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits noticeable image stretching artifacts, which manifest as a slight blurring and elongation of features, making the details appear less sharp and somewhat distorted. Image 2 shows no observable distortions and maintains clear, sharp details throughout the image. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "dc1da695-8508-461b-b037-20d48f4028f9", "image_1": "Description/paired/dc1da695-8508-461b-b037-20d48f4028f9_0.png", "image_2": "Description/paired/dc1da695-8508-461b-b037-20d48f4028f9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image stretching artifacts, which manifest as elongated and distorted features that disrupt the natural appearance of the terrain. Image 2 shows no observable distortions and maintains a clear and accurate representation of the landscape. Therefore, Image 2 has higher overall quality due to its lack of distortions and more accurate depiction of the terrain."}
{"id": "01946af7-b06c-4744-8ba6-c08c0722786f", "image_1": "Description/paired/01946af7-b06c-4744-8ba6-c08c0722786f_0.png", "image_2": "Description/paired/01946af7-b06c-4744-8ba6-c08c0722786f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image stretching artifacts, which are evident as elongated and distorted features, particularly noticeable in the buildings and vegetation patterns. Image 2 shows no observable distortions and maintains clear and accurate representation of features. Therefore, Image 2 has higher overall quality due to the absence of distortions and more accurate depiction of the scene."}
{"id": "644f7197-7a63-4bbf-8576-b91c2fae094f", "image_1": "Description/paired/644f7197-7a63-4bbf-8576-b91c2fae094f_0.png", "image_2": "Description/paired/644f7197-7a63-4bbf-8576-b91c2fae094f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and sharp. Image 2 exhibits moderate image stretching artifacts, making the features appear elongated and less clear. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual presentation."}
{"id": "80b9adc0-4f2c-417c-aa85-007cb2270f86", "image_1": "Description/paired/80b9adc0-4f2c-417c-aa85-007cb2270f86_0.png", "image_2": "Description/paired/80b9adc0-4f2c-417c-aa85-007cb2270f86_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and high-quality. Image 2 contains moderate image stretching artifacts, which manifest as elongated and distorted features that disrupt the natural appearance of the terrain. Therefore, Image 1 has higher overall quality due to the absence of any visible distortions."}
{"id": "ff355941-d412-4ced-bf51-0f66db67e3eb", "image_1": "Description/paired/ff355941-d412-4ced-bf51-0f66db67e3eb_0.png", "image_2": "Description/paired/ff355941-d412-4ced-bf51-0f66db67e3eb_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 exhibits moderate image stretching artifacts, which manifest as elongated and distorted features, particularly noticeable in the linear structures and fields. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the visible stretching artifacts in Image 2."}
{"id": "e1223642-2615-4689-a720-2f9befb87ad4", "image_1": "Description/paired/e1223642-2615-4689-a720-2f9befb87ad4_0.png", "image_2": "Description/paired/e1223642-2615-4689-a720-2f9befb87ad4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image stretching artifacts, which are visible as elongated and distorted features, particularly noticeable in the linear elements and field boundaries. Image 2 shows no observable distortions and maintains clear, well-defined features throughout the image. Therefore, Image 2 has higher overall quality due to the absence of any visible distortions."}
{"id": "6c33a292-f8f0-408e-9c5b-a2552aedec24", "image_1": "Description/paired/6c33a292-f8f0-408e-9c5b-a2552aedec24_0.png", "image_2": "Description/paired/6c33a292-f8f0-408e-9c5b-a2552aedec24_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate image stretching artifacts, which manifest as elongated and distorted features, particularly noticeable in the terrain and coastline. Therefore, Image 1 has higher overall quality due to the absence of distortions and clearer visual representation."}
{"id": "4907713a-e3fa-4ad7-9912-8f047cd3a4de", "image_1": "Description/paired/4907713a-e3fa-4ad7-9912-8f047cd3a4de_0.png", "image_2": "Description/paired/4907713a-e3fa-4ad7-9912-8f047cd3a4de_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image stretching artifacts, which are visible as elongated and distorted features, particularly noticeable along the river and terrain patterns. Image 2 shows no observable distortions and maintains clear, undistorted features with consistent quality throughout. Therefore, Image 2 has higher overall quality due to the absence of distortions and the preservation of natural feature integrity."}
{"id": "7de97e80-4e40-488b-b977-79975e365b32", "image_1": "Description/paired/7de97e80-4e40-488b-b977-79975e365b32_0.png", "image_2": "Description/paired/7de97e80-4e40-488b-b977-79975e365b32_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong image stretching artifacts, which are evident as elongated and distorted features, particularly noticeable in the linear structures and overall geometry. Therefore, Image 1 has higher overall quality due to the absence of any distortions compared to the significant stretching artifacts in Image 2."}
{"id": "287adb56-da28-4004-ace3-23fe86a7383e", "image_1": "Description/paired/287adb56-da28-4004-ace3-23fe86a7383e_0.png", "image_2": "Description/paired/287adb56-da28-4004-ace3-23fe86a7383e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image stretching artifacts, which are evident from the elongated and distorted appearance of the features, making the image look unnaturally stretched vertically. Image 2 shows no observable distortions and maintains a natural and consistent appearance throughout. Therefore, Image 2 has higher overall quality due to the absence of any visible distortions."}
{"id": "613dd4a1-6268-403c-b966-390dc6fc69b4", "image_1": "Description/paired/613dd4a1-6268-403c-b966-390dc6fc69b4_0.png", "image_2": "Description/paired/613dd4a1-6268-403c-b966-390dc6fc69b4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image stretching artifacts, visible as elongated and distorted features that disrupt the natural appearance of the landscape. Image 2 shows no observable distortions and maintains a clear, undistorted representation of the area. Therefore, Image 2 has higher overall quality due to the absence of any noticeable distortions."}
{"id": "e335b022-625c-415b-b736-4dde246b33a5", "image_1": "Description/paired/e335b022-625c-415b-b736-4dde246b33a5_0.png", "image_2": "Description/paired/e335b022-625c-415b-b736-4dde246b33a5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality. Image 2 contains moderate image stretching artifacts, which manifest as elongated and distorted features, reducing the clarity of the image. Therefore, Image 1 has higher overall quality due to the absence of any visible distortions."}
{"id": "e8449efc-c7db-4481-b004-8b805dcb0250", "image_1": "Description/paired/e8449efc-c7db-4481-b004-8b805dcb0250_0.png", "image_2": "Description/paired/e8449efc-c7db-4481-b004-8b805dcb0250_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe image stretching artifacts, which manifest as elongated and distorted features, making the image appear warped and less clear. Therefore, Image 1 has higher overall quality due to the absence of distortions and clearer visual representation."}
{"id": "1d7dd164-c58b-411e-95b3-5b1449b8da93", "image_1": "Description/paired/1d7dd164-c58b-411e-95b3-5b1449b8da93_0.png", "image_2": "Description/paired/1d7dd164-c58b-411e-95b3-5b1449b8da93_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong image stretching artifacts, which manifest as elongated and distorted features, particularly noticeable in the terrain and geological formations. Therefore, Image 1 has higher overall quality due to the absence of distortions and artifacts."}
{"id": "d91a26aa-00ac-4d28-bb5a-385a9bacd0b9", "image_1": "Description/paired/d91a26aa-00ac-4d28-bb5a-385a9bacd0b9_0.png", "image_2": "Description/paired/d91a26aa-00ac-4d28-bb5a-385a9bacd0b9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image stretching artifacts, which manifest as noticeable elongation and distortion of features, making the terrain appear unnaturally stretched and warped. Image 2 shows no observable distortions and maintains a clear, high-quality representation of the terrain with accurate proportions and details. Therefore, Image 2 has higher overall quality due to the absence of distortions and the preservation of natural feature integrity."}
{"id": "fba45bb2-0023-4259-842e-8f9100786081", "image_1": "Description/paired/fba45bb2-0023-4259-842e-8f9100786081_0.png", "image_2": "Description/paired/fba45bb2-0023-4259-842e-8f9100786081_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image stretching artifacts, which manifest as elongated and distorted features that disrupt the natural appearance of the terrain. Image 2 shows no observable distortions and maintains a clear and accurate representation of the landscape. Therefore, Image 2 has higher overall quality due to the absence of distortions and a more accurate depiction of the terrain."}
{"id": "a2671509-474c-48b9-99b0-380a80f0ae97", "image_1": "Description/paired/a2671509-474c-48b9-99b0-380a80f0ae97_0.png", "image_2": "Description/paired/a2671509-474c-48b9-99b0-380a80f0ae97_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong image stretching artifacts, which manifest as elongated and distorted features, particularly noticeable in the terrain and river shapes. Image 1 has higher overall quality because it lacks the stretching artifacts present in Image 2."}
{"id": "c0eba149-548c-4d49-8d9e-ba59a4fbaa69", "image_1": "Description/paired/c0eba149-548c-4d49-8d9e-ba59a4fbaa69_0.png", "image_2": "Description/paired/c0eba149-548c-4d49-8d9e-ba59a4fbaa69_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image stretching artifacts, which manifest as elongated and distorted features that disrupt the natural appearance of the terrain. Image 2 shows no observable distortions and maintains a clear, natural representation of the landscape. Therefore, Image 2 has higher overall quality due to the absence of distortions and a more accurate depiction of the terrain."}
{"id": "1f0ac961-97c6-4bd6-9f9e-4a6bb23e5001", "image_1": "Description/paired/1f0ac961-97c6-4bd6-9f9e-4a6bb23e5001_0.png", "image_2": "Description/paired/1f0ac961-97c6-4bd6-9f9e-4a6bb23e5001_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image stretching artifacts, which manifest as elongated and distorted features that disrupt the natural appearance of the terrain. Image 2 shows no observable distortions and maintains a clear, undistorted representation of the landscape. Therefore, Image 2 has higher overall quality due to the absence of distortions and a more accurate depiction of the terrain."}
{"id": "d217b482-48eb-42dd-b267-4b4f1028b65d", "image_1": "Description/paired/d217b482-48eb-42dd-b267-4b4f1028b65d_0.png", "image_2": "Description/paired/d217b482-48eb-42dd-b267-4b4f1028b65d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image stretching artifacts, resulting in a vertically elongated and distorted appearance that affects the overall visual integrity. Image 2 has no observable distortions and maintains a clear, high-quality representation of the area. Therefore, Image 2 has higher overall quality due to its lack of distortions and accurate depiction of the scene."}
{"id": "832a6c5b-f392-4c9e-add1-58b92bf91c25", "image_1": "Description/paired/832a6c5b-f392-4c9e-add1-58b92bf91c25_0.png", "image_2": "Description/paired/832a6c5b-f392-4c9e-add1-58b92bf91c25_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and high-quality. Image 2 exhibits severe image stretching artifacts, making the features appear elongated and distorted. Therefore, Image 1 has higher overall quality due to the absence of distortions."}
{"id": "e31d1093-1fd2-4e95-a92a-854bc0ec5cef", "image_1": "Description/paired/e31d1093-1fd2-4e95-a92a-854bc0ec5cef_0.png", "image_2": "Description/paired/e31d1093-1fd2-4e95-a92a-854bc0ec5cef_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image stretching artifacts, causing the features to appear elongated and distorted, particularly along the coastline. Image 2 shows no observable distortions and maintains clear, undistorted features throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and more accurate representation of the scene."}
{"id": "856e18f1-678e-4268-99a7-b21c3eb01edb", "image_1": "Description/paired/856e18f1-678e-4268-99a7-b21c3eb01edb_0.png", "image_2": "Description/paired/856e18f1-678e-4268-99a7-b21c3eb01edb_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image stretching artifacts, resulting in a distorted and elongated appearance of the landscape features. Image 2 shows no observable distortions and maintains a clear, high-quality representation of the terrain. Therefore, Image 2 has higher overall quality due to its lack of distortions and more accurate depiction of the landscape."}
{"id": "934ca3dc-0231-4540-91cc-6278e40a7a30", "image_1": "Description/paired/934ca3dc-0231-4540-91cc-6278e40a7a30_0.png", "image_2": "Description/paired/934ca3dc-0231-4540-91cc-6278e40a7a30_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image stretching artifacts, which manifest as elongated and distorted features that disrupt the natural appearance of the terrain. Image 2 shows no observable distortions and maintains a consistent and clear depiction of the terrain. Therefore, Image 2 has higher overall quality due to its lack of distortions and more accurate representation of the terrain."}
{"id": "3a0057d5-4885-4d3d-a30c-ee00e2362723", "image_1": "Description/paired/3a0057d5-4885-4d3d-a30c-ee00e2362723_0.png", "image_2": "Description/paired/3a0057d5-4885-4d3d-a30c-ee00e2362723_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image stretching artifacts, making the details appear elongated and distorted. Image 2 shows no observable distortions and maintains clear, well-defined details. Therefore, Image 2 has higher overall quality due to its lack of distortions and better preservation of detail."}
{"id": "65bf30c8-848a-4eb6-b46a-a670b8434105", "image_1": "Description/paired/65bf30c8-848a-4eb6-b46a-a670b8434105_0.png", "image_2": "Description/paired/65bf30c8-848a-4eb6-b46a-a670b8434105_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong image stretching artifacts, evident by the elongated and distorted appearance of the landscape features. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the noticeable stretching artifacts in Image 2."}
{"id": "62f94086-bcf0-494d-8ffe-f96349bad20e", "image_1": "Description/paired/62f94086-bcf0-494d-8ffe-f96349bad20e_0.png", "image_2": "Description/paired/62f94086-bcf0-494d-8ffe-f96349bad20e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image stretching artifacts, resulting in a distorted and pixelated appearance with elongated features. Image 2 has no observable distortions and maintains a clear and detailed visual quality. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "61842a9c-1634-4be5-aa2b-ed2799953704", "image_1": "Description/paired/61842a9c-1634-4be5-aa2b-ed2799953704_0.png", "image_2": "Description/paired/61842a9c-1634-4be5-aa2b-ed2799953704_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and high-quality. Image 2 contains strong image stretching artifacts, which manifest as elongated and distorted features that reduce clarity. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the stretched artifacts present in Image 2."}
{"id": "c2d0038f-289f-4c1d-83a3-5151272409e8", "image_1": "Description/paired/c2d0038f-289f-4c1d-83a3-5151272409e8_0.png", "image_2": "Description/paired/c2d0038f-289f-4c1d-83a3-5151272409e8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image stretching artifacts, making the features appear elongated and distorted, with noticeable pixelation. Image 2 shows no observable distortions and maintains clear, well-defined features. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "18c37f69-671c-4187-abf3-269ba6d3f15c", "image_1": "Description/paired/18c37f69-671c-4187-abf3-269ba6d3f15c_0.png", "image_2": "Description/paired/18c37f69-671c-4187-abf3-269ba6d3f15c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and high-quality. Image 2 contains severe image stretching artifacts, resulting in a highly pixelated and distorted appearance with noticeable elongation and loss of detail. Therefore, Image 1 has higher overall quality due to its clear and undistorted presentation."}
{"id": "4e32680c-c249-47bd-b2a9-161c00f3dd99", "image_1": "Description/paired/4e32680c-c249-47bd-b2a9-161c00f3dd99_0.png", "image_2": "Description/paired/4e32680c-c249-47bd-b2a9-161c00f3dd99_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and uniform in texture. Image 2 exhibits moderate stretching artifacts, visible as elongated features and uneven texture along the horizontal axis. Image 1 has higher overall quality because it is free of distortions, unlike Image 2, which contains noticeable stretching artifacts."}
{"id": "ae2b9a59-1cdc-4885-85a5-e6a9f797b2a1", "image_1": "Description/paired/ae2b9a59-1cdc-4885-85a5-e6a9f797b2a1_0.png", "image_2": "Description/paired/ae2b9a59-1cdc-4885-85a5-e6a9f797b2a1_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image stretching artifacts, which are visible as elongated and distorted features, particularly in the vegetation and buildings. Image 2 shows no observable distortions and maintains clear and accurate representation of the terrain and structures. Therefore, Image 2 has higher overall quality due to its lack of distortions and more accurate visual representation."}
{"id": "97d1986a-1974-4116-954f-c633c6e1240b", "image_1": "Description/paired/97d1986a-1974-4116-954f-c633c6e1240b_0.png", "image_2": "Description/paired/97d1986a-1974-4116-954f-c633c6e1240b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate image stretching artifacts, which are evident as elongated and distorted features that disrupt the natural appearance of the terrain. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the noticeable stretching artifacts in Image 2."}
{"id": "b0399cc6-47be-4988-a405-19bbad590f46", "image_1": "Description/paired/b0399cc6-47be-4988-a405-19bbad590f46_0.png", "image_2": "Description/paired/b0399cc6-47be-4988-a405-19bbad590f46_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and high-quality. Image 2 contains strong image stretching artifacts, which manifest as elongated and distorted features that disrupt the natural appearance of the terrain. Therefore, Image 1 has higher overall quality due to the absence of distortions and artifacts."}
{"id": "a0573815-004a-4f27-9c58-cf21ece52c56", "image_1": "Description/paired/a0573815-004a-4f27-9c58-cf21ece52c56_0.png", "image_2": "Description/paired/a0573815-004a-4f27-9c58-cf21ece52c56_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate image stretching artifacts, which manifest as elongated and distorted features that disrupt the natural appearance of the landscape. Image 2 shows no observable distortions and maintains a clear and accurate representation of the terrain. Therefore, Image 2 has higher overall quality due to the absence of distortions and the preservation of natural detail."}
{"id": "ca1ba5c0-b77e-4d61-8135-c149b18b6af2", "image_1": "Description/paired/ca1ba5c0-b77e-4d61-8135-c149b18b6af2_0.png", "image_2": "Description/paired/ca1ba5c0-b77e-4d61-8135-c149b18b6af2_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate image stretching artifacts, which manifest as elongated and distorted features, making the terrain appear unnaturally stretched. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the visible stretching artifacts in Image 2."}
{"id": "3104c9af-cbf8-4988-a5df-b39ddf78ddf9", "image_1": "Description/paired/3104c9af-cbf8-4988-a5df-b39ddf78ddf9_0.png", "image_2": "Description/paired/3104c9af-cbf8-4988-a5df-b39ddf78ddf9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate image stretching artifacts, which are visible as elongated and distorted features, particularly noticeable in the linear and curved structures. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "8abaab4b-3d0c-4bd1-b17c-cc9a90597459", "image_1": "Description/paired/8abaab4b-3d0c-4bd1-b17c-cc9a90597459_0.png", "image_2": "Description/paired/8abaab4b-3d0c-4bd1-b17c-cc9a90597459_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image stretching artifacts, visible as elongated and distorted features that disrupt the natural appearance of the terrain. Image 2 has no observable distortions and maintains a clear and undistorted representation of the landscape. Therefore, Image 2 has higher overall quality due to its lack of distortions and more accurate depiction of the terrain."}
{"id": "2d08fa69-a201-42aa-8e6b-1a5b5fdff980", "image_1": "Description/paired/2d08fa69-a201-42aa-8e6b-1a5b5fdff980_0.png", "image_2": "Description/paired/2d08fa69-a201-42aa-8e6b-1a5b5fdff980_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong image stretching artifacts, which manifest as elongated and distorted features, particularly noticeable in the terrain and infrastructure. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "e788a67b-6589-4230-b5a5-b065c4ad4cc5", "image_1": "Description/paired/e788a67b-6589-4230-b5a5-b065c4ad4cc5_0.png", "image_2": "Description/paired/e788a67b-6589-4230-b5a5-b065c4ad4cc5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate image stretching artifacts, which are visible as elongated and distorted features, particularly noticeable in the central region. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "3f513f2b-7b65-44a5-9417-6118b9b57714", "image_1": "Description/paired/3f513f2b-7b65-44a5-9417-6118b9b57714_0.png", "image_2": "Description/paired/3f513f2b-7b65-44a5-9417-6118b9b57714_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong image stretching artifacts, which manifest as elongated and distorted cloud shapes. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "a9241999-6a1d-4aac-8da1-ed38b657025b", "image_1": "Description/paired/a9241999-6a1d-4aac-8da1-ed38b657025b_0.png", "image_2": "Description/paired/a9241999-6a1d-4aac-8da1-ed38b657025b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits moderate image stretching artifacts, which manifest as elongated and distorted features, particularly noticeable in the linear elements and overall geometry. Therefore, Image 1 has higher overall quality due to the absence of any visible distortions."}
{"id": "937aba19-0c19-4b80-a19d-64de05dd02a7", "image_1": "Description/paired/937aba19-0c19-4b80-a19d-64de05dd02a7_0.png", "image_2": "Description/paired/937aba19-0c19-4b80-a19d-64de05dd02a7_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe image stretching artifacts, making the features appear elongated and distorted. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "4a5c8c78-b81e-4382-8242-330c799d2743", "image_1": "Description/paired/4a5c8c78-b81e-4382-8242-330c799d2743_0.png", "image_2": "Description/paired/4a5c8c78-b81e-4382-8242-330c799d2743_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image stretching artifacts, which manifest as elongated and distorted features that disrupt the natural appearance of the scene. Image 2 shows no observable distortions and maintains a clear and natural representation of the scene. Therefore, Image 2 has higher overall quality due to the absence of distortions and a more accurate depiction of the scene."}
{"id": "ae9a2fcd-bd2d-470a-8263-1e19d8520775", "image_1": "Description/paired/ae9a2fcd-bd2d-470a-8263-1e19d8520775_0.png", "image_2": "Description/paired/ae9a2fcd-bd2d-470a-8263-1e19d8520775_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong image stretching artifacts, which manifest as elongated and distorted cloud shapes, making the image appear blurry and less defined. Image 2 shows no observable distortions and maintains clear, well-defined cloud structures with consistent texture. Therefore, Image 2 has higher overall quality due to the absence of distortions and better visual clarity."}
{"id": "57bf8cea-cfe7-43e5-9991-56900a619970", "image_1": "Description/paired/57bf8cea-cfe7-43e5-9991-56900a619970_0.png", "image_2": "Description/paired/57bf8cea-cfe7-43e5-9991-56900a619970_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image stretching artifacts, making the features appear elongated and distorted horizontally. Image 2 shows no observable distortions and maintains a clear and accurate representation of the terrain. Therefore, Image 2 has higher overall quality due to the absence of distortions and the preservation of true spatial relationships."}
{"id": "4b84ee33-090d-4bb0-8f84-50371c49e186", "image_1": "Description/paired/4b84ee33-090d-4bb0-8f84-50371c49e186_0.png", "image_2": "Description/paired/4b84ee33-090d-4bb0-8f84-50371c49e186_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe image stretching artifacts, which manifest as elongated and distorted features, particularly noticeable in the cloud formations and the textured background. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the significant artifacts present in Image 2."}
{"id": "580ad590-97c3-4e3e-b5a8-3ba064e574a6", "image_1": "Description/paired/580ad590-97c3-4e3e-b5a8-3ba064e574a6_0.png", "image_2": "Description/paired/580ad590-97c3-4e3e-b5a8-3ba064e574a6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 exhibits moderate image stretching artifacts, which manifest as elongated and distorted features that disrupt the natural appearance of the terrain. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the visible stretching artifacts in Image 2."}
{"id": "4b5ecb23-35a6-4775-bdeb-ea21bf59386c", "image_1": "Description/paired/4b5ecb23-35a6-4775-bdeb-ea21bf59386c_0.png", "image_2": "Description/paired/4b5ecb23-35a6-4775-bdeb-ea21bf59386c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe image stretching artifacts, which manifest as elongated and distorted features that disrupt the natural appearance of the scene. Image 2 shows no observable distortions and maintains a clear and natural representation of the scene. Therefore, Image 2 has higher overall quality due to the absence of distortions and the preservation of the scene's integrity."}
{"id": "aa77416d-0a4c-4017-9989-3fac63b04287", "image_1": "Description/paired/aa77416d-0a4c-4017-9989-3fac63b04287_0.png", "image_2": "Description/paired/aa77416d-0a4c-4017-9989-3fac63b04287_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe dead pixel artifacts, which manifest as a dense, noisy pattern obscuring the underlying details. Therefore, Image 1 has higher overall quality due to its absence of distortions and clear visibility."}
{"id": "3a95c486-cbfb-4ebb-a036-d0371daa3f3c", "image_1": "Description/paired/3a95c486-cbfb-4ebb-a036-d0371daa3f3c_0.png", "image_2": "Description/paired/3a95c486-cbfb-4ebb-a036-d0371daa3f3c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality. Image 2 contains noticeable dead pixel artifacts, visible as scattered dark and bright specks disrupting the uniformity of the image. Therefore, Image 1 has higher overall quality due to its lack of distortions compared to the visible artifacts in Image 2."}
{"id": "bea9240c-d468-4e7f-80a0-627b4f4e870a", "image_1": "Description/paired/bea9240c-d468-4e7f-80a0-627b4f4e870a_0.png", "image_2": "Description/paired/bea9240c-d468-4e7f-80a0-627b4f4e870a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe dead pixel artifacts, which manifest as a pervasive, noisy texture that obscures the underlying details. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual presentation."}
{"id": "83150919-20b7-4963-8295-ced1e4b21ae3", "image_1": "Description/paired/83150919-20b7-4963-8295-ced1e4b21ae3_0.png", "image_2": "Description/paired/83150919-20b7-4963-8295-ced1e4b21ae3_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate dead pixel artifacts, which appear as numerous small, bright dots scattered across the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of dead pixel artifacts."}
{"id": "a25511c0-7c7e-4c4f-bf1e-b801cfed54fe", "image_1": "Description/paired/a25511c0-7c7e-4c4f-bf1e-b801cfed54fe_0.png", "image_2": "Description/paired/a25511c0-7c7e-4c4f-bf1e-b801cfed54fe_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate dead pixel artifacts, which appear as numerous small, bright spots scattered across the image, disrupting the visual continuity. Image 2 shows no observable distortions and maintains a clean, high-quality appearance. Therefore, Image 2 has higher overall quality due to the absence of dead pixel artifacts and better visual integrity."}
{"id": "e2d6100e-6118-454a-ba1d-29642433fdd6", "image_1": "Description/paired/e2d6100e-6118-454a-ba1d-29642433fdd6_0.png", "image_2": "Description/paired/e2d6100e-6118-454a-ba1d-29642433fdd6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate dead pixel artifacts, which appear as numerous small black dots scattered across the image. Therefore, Image 1 has higher overall quality due to the absence of distortions."}
{"id": "3e49e712-85ca-4fb0-9ef5-21cd2d37cc16", "image_1": "Description/paired/3e49e712-85ca-4fb0-9ef5-21cd2d37cc16_0.png", "image_2": "Description/paired/3e49e712-85ca-4fb0-9ef5-21cd2d37cc16_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and high-quality. Image 2 contains moderate dead pixel artifacts, which manifest as numerous small black dots scattered across the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "d52163be-58eb-464e-9660-a16940f3175f", "image_1": "Description/paired/d52163be-58eb-464e-9660-a16940f3175f_0.png", "image_2": "Description/paired/d52163be-58eb-464e-9660-a16940f3175f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong dead pixel artifacts, which manifest as numerous white specks scattered across the image, significantly degrading its visual quality. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the heavily artifact-laden Image 2."}
{"id": "af5af76c-4c23-4eb9-b598-8d84bb786cce", "image_1": "Description/paired/af5af76c-4c23-4eb9-b598-8d84bb786cce_0.png", "image_2": "Description/paired/af5af76c-4c23-4eb9-b598-8d84bb786cce_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong dead pixel artifacts, which manifest as numerous small, bright spots scattered across the image. Image 1 has higher overall quality because it lacks the significant distortions present in Image 2."}
{"id": "4e871963-3eb8-4ba8-a71b-9f131b06981a", "image_1": "Description/paired/4e871963-3eb8-4ba8-a71b-9f131b06981a_0.png", "image_2": "Description/paired/4e871963-3eb8-4ba8-a71b-9f131b06981a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe dead pixel artifacts, appearing as a dense, random pattern of white and black specks across the entire image. Image 2 has no observable distortions and appears uniformly dark. Image 2 has higher overall quality because it is free from the severe dead pixel artifacts present in Image 1."}
{"id": "2d36d3b6-6cac-488b-acab-d337d572cd6c", "image_1": "Description/paired/2d36d3b6-6cac-488b-acab-d337d572cd6c_0.png", "image_2": "Description/paired/2d36d3b6-6cac-488b-acab-d337d572cd6c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong dead pixel artifacts, appearing as numerous white specks scattered across the entire image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "49a77147-025c-438f-ba13-32c9052b1cc9", "image_1": "Description/paired/49a77147-025c-438f-ba13-32c9052b1cc9_0.png", "image_2": "Description/paired/49a77147-025c-438f-ba13-32c9052b1cc9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains moderate dead pixel artifacts, visible as numerous small white dots scattered across the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "53c1e354-c185-487b-95fc-2035e87b42e9", "image_1": "Description/paired/53c1e354-c185-487b-95fc-2035e87b42e9_0.png", "image_2": "Description/paired/53c1e354-c185-487b-95fc-2035e87b42e9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe dead pixel artifacts, manifesting as a pervasive pattern of random noise across the entire image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "d3c29ed2-d567-47d9-aff0-1eba38556322", "image_1": "Description/paired/d3c29ed2-d567-47d9-aff0-1eba38556322_0.png", "image_2": "Description/paired/d3c29ed2-d567-47d9-aff0-1eba38556322_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong dead pixel artifacts, appearing as numerous white and black specks scattered across the entire image, which significantly degrade its visual quality. Image 2 has no observable distortions and maintains clear and consistent visual details throughout. Therefore, Image 2 has higher overall quality due to the absence of any distortions compared to the heavily artifacted Image 1."}
{"id": "d36782a6-7d87-4228-9b0e-6297b2dc3faa", "image_1": "Description/paired/d36782a6-7d87-4228-9b0e-6297b2dc3faa_0.png", "image_2": "Description/paired/d36782a6-7d87-4228-9b0e-6297b2dc3faa_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe dead pixel artifacts, manifesting as a dense pattern of random noise across the entire image. Therefore, Image 1 has higher overall quality due to its lack of distortions and clear visual presentation."}
{"id": "7c3f9c55-c8c9-4cf3-af05-a9c7bcf4a5ce", "image_1": "Description/paired/7c3f9c55-c8c9-4cf3-af05-a9c7bcf4a5ce_0.png", "image_2": "Description/paired/7c3f9c55-c8c9-4cf3-af05-a9c7bcf4a5ce_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong dead pixel artifacts, appearing as numerous white and black speckles scattered throughout the image, significantly degrading its visual quality. Image 2 has no observable distortions and presents a clear and detailed view of the terrain. Therefore, Image 2 has higher overall quality due to the absence of distortions and the clarity of the visual information."}
{"id": "8b12d6f6-c42c-4ebe-873d-1948a51ec98c", "image_1": "Description/paired/8b12d6f6-c42c-4ebe-873d-1948a51ec98c_0.png", "image_2": "Description/paired/8b12d6f6-c42c-4ebe-873d-1948a51ec98c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe dead pixel artifacts, appearing as a dense array of bright and dark speckles that obscure the underlying details. Image 2 has no observable distortions and presents a clear, high-quality view of the terrain. Therefore, Image 2 has higher overall quality due to the absence of any distortions, unlike the heavily corrupted Image 1."}
{"id": "8112702f-e5fe-46b1-ba34-5ccd4debef30", "image_1": "Description/paired/8112702f-e5fe-46b1-ba34-5ccd4debef30_0.png", "image_2": "Description/paired/8112702f-e5fe-46b1-ba34-5ccd4debef30_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and high-quality. Image 2 contains moderate dead pixel artifacts, which manifest as numerous small, bright dots scattered across the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "74f36b43-a9a3-4ea5-ac06-b17f7544bd4a", "image_1": "Description/paired/74f36b43-a9a3-4ea5-ac06-b17f7544bd4a_0.png", "image_2": "Description/paired/74f36b43-a9a3-4ea5-ac06-b17f7544bd4a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe dead pixel artifacts, which manifest as numerous bright and dark specks scattered across the image, creating a noisy appearance. Image 1 has higher overall quality because it is free of distortions, whereas Image 2 is significantly degraded by dead pixel artifacts."}
{"id": "57119d00-e89f-43ec-849d-493990a2d4e2", "image_1": "Description/paired/57119d00-e89f-43ec-849d-493990a2d4e2_0.png", "image_2": "Description/paired/57119d00-e89f-43ec-849d-493990a2d4e2_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe dead pixel artifacts, appearing as a dense, random pattern of white and black specks across the entire image. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "db219640-f169-4809-8360-3d92d6b87e2c", "image_1": "Description/paired/db219640-f169-4809-8360-3d92d6b87e2c_0.png", "image_2": "Description/paired/db219640-f169-4809-8360-3d92d6b87e2c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe dead pixel artifacts, appearing as random speckles and noise throughout the image, significantly degrading its visual quality. Image 2 has no observable distortions and appears clean and high-quality with clear details. Therefore, Image 2 has higher overall quality due to the absence of distortions and artifacts that are present in Image 1."}
{"id": "5bc026a4-8bac-4bb3-ac68-4352782fb7a4", "image_1": "Description/paired/5bc026a4-8bac-4bb3-ac68-4352782fb7a4_0.png", "image_2": "Description/paired/5bc026a4-8bac-4bb3-ac68-4352782fb7a4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe dead pixel artifacts, appearing as random noise and speckles across the entire image, significantly degrading its visual quality. Image 2 shows no observable distortions and maintains clear and detailed visual information. Therefore, Image 2 has higher overall quality due to the absence of distortions and the presence of clear, detailed imagery."}
{"id": "92b226b0-2fee-421c-95d1-592485e1b17c", "image_1": "Description/paired/92b226b0-2fee-421c-95d1-592485e1b17c_0.png", "image_2": "Description/paired/92b226b0-2fee-421c-95d1-592485e1b17c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains moderate dead pixel artifacts, which manifest as numerous small, bright dots scattered across the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "ee3c5cce-e622-43ba-91c9-50f76108ec11", "image_1": "Description/paired/ee3c5cce-e622-43ba-91c9-50f76108ec11_0.png", "image_2": "Description/paired/ee3c5cce-e622-43ba-91c9-50f76108ec11_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate dead pixel artifacts, which appear as numerous small white dots scattered throughout the image. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "ac91b393-cae8-4907-9c8e-083f2bfe0145", "image_1": "Description/paired/ac91b393-cae8-4907-9c8e-083f2bfe0145_0.png", "image_2": "Description/paired/ac91b393-cae8-4907-9c8e-083f2bfe0145_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate dead pixel artifacts, which appear as numerous small black dots scattered across the image, disrupting the visual continuity. Image 2 has no observable distortions and appears clean and free of artifacts. Image 2 has higher overall quality because it lacks the dead pixel artifacts present in Image 1."}
{"id": "25881227-30f3-47a8-b95e-face53f578ba", "image_1": "Description/paired/25881227-30f3-47a8-b95e-face53f578ba_0.png", "image_2": "Description/paired/25881227-30f3-47a8-b95e-face53f578ba_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong dead pixel artifacts, appearing as numerous white and black specks scattered across the entire image. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "ceba1b51-da75-4a05-afb4-4e3e39225297", "image_1": "Description/paired/ceba1b51-da75-4a05-afb4-4e3e39225297_0.png", "image_2": "Description/paired/ceba1b51-da75-4a05-afb4-4e3e39225297_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong dead pixel artifacts, which manifest as numerous small, bright specks scattered throughout the image, significantly degrading its visual quality. Therefore, Image 1 has higher overall quality due to the absence of distortions and artifacts."}
{"id": "97da2cd5-cb0e-43f0-9b2a-ccc5631c540e", "image_1": "Description/paired/97da2cd5-cb0e-43f0-9b2a-ccc5631c540e_0.png", "image_2": "Description/paired/97da2cd5-cb0e-43f0-9b2a-ccc5631c540e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate dead pixel artifacts, which appear as numerous small black dots scattered across the entire image. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "db8f0fab-e08f-4685-8440-c3ffcb9cd994", "image_1": "Description/paired/db8f0fab-e08f-4685-8440-c3ffcb9cd994_0.png", "image_2": "Description/paired/db8f0fab-e08f-4685-8440-c3ffcb9cd994_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate dead pixel artifacts, which appear as numerous small white dots scattered across the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "0accd552-e939-4900-bf2f-dcaa4f39840a", "image_1": "Description/paired/0accd552-e939-4900-bf2f-dcaa4f39840a_0.png", "image_2": "Description/paired/0accd552-e939-4900-bf2f-dcaa4f39840a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe dead pixel artifacts, appearing as a dense, noisy pattern that obscures any meaningful content. Therefore, Image 1 has higher overall quality due to the absence of distortions and the clear visibility of details."}
{"id": "71dbcee3-073f-4b72-ab17-18a13bf1e4d4", "image_1": "Description/paired/71dbcee3-073f-4b72-ab17-18a13bf1e4d4_0.png", "image_2": "Description/paired/71dbcee3-073f-4b72-ab17-18a13bf1e4d4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong dead pixel artifacts, visible as vertical black lines that disrupt the continuity of the image. Image 1 has higher overall quality because it is free from any distortions, unlike Image 2 which is marred by significant dead pixel artifacts."}
{"id": "838c1ac3-1758-419d-b5f3-520d224c02de", "image_1": "Description/paired/838c1ac3-1758-419d-b5f3-520d224c02de_0.png", "image_2": "Description/paired/838c1ac3-1758-419d-b5f3-520d224c02de_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate dead pixel artifacts, which manifest as horizontal black lines across the image. Therefore, Image 1 has higher overall quality due to the absence of any visible distortions."}
{"id": "95dd6ff7-a5b8-4a5d-97de-373c3e9dc08e", "image_1": "Description/paired/95dd6ff7-a5b8-4a5d-97de-373c3e9dc08e_0.png", "image_2": "Description/paired/95dd6ff7-a5b8-4a5d-97de-373c3e9dc08e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong dead pixel artifacts, visible as vertical black lines across the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any distortions."}
{"id": "f7d736c1-1777-443a-a818-d12273350b49", "image_1": "Description/paired/f7d736c1-1777-443a-a818-d12273350b49_0.png", "image_2": "Description/paired/f7d736c1-1777-443a-a818-d12273350b49_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe dead pixel artifacts, which appear as horizontal black lines disrupting the continuity of the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "477f52f6-5077-4770-9065-ccf5589072b3", "image_1": "Description/paired/477f52f6-5077-4770-9065-ccf5589072b3_0.png", "image_2": "Description/paired/477f52f6-5077-4770-9065-ccf5589072b3_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe dead pixel artifacts, visible as horizontal black lines disrupting the continuity of the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any distortions."}
{"id": "a9c544de-2c7d-4185-8dfe-592a20c7e515", "image_1": "Description/paired/a9c544de-2c7d-4185-8dfe-592a20c7e515_0.png", "image_2": "Description/paired/a9c544de-2c7d-4185-8dfe-592a20c7e515_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong dead pixel artifacts, visible as vertical black lines running through the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "b3c3f606-d752-4a87-be33-c9603411ce51", "image_1": "Description/paired/b3c3f606-d752-4a87-be33-c9603411ce51_0.png", "image_2": "Description/paired/b3c3f606-d752-4a87-be33-c9603411ce51_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality. Image 2 contains severe dead pixel artifacts, visible as vertical black lines that disrupt the continuity of the image. Image 1 has higher overall quality because it is free of distortions, unlike Image 2, which is degraded by prominent artifacts."}
{"id": "d31b79fe-013e-4cbc-8d3f-72ac2ccd8954", "image_1": "Description/paired/d31b79fe-013e-4cbc-8d3f-72ac2ccd8954_0.png", "image_2": "Description/paired/d31b79fe-013e-4cbc-8d3f-72ac2ccd8954_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean. Image 2 contains severe dead pixel artifacts, visible as multiple horizontal black lines across the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "bad12560-3f83-40ed-a52d-25b833437665", "image_1": "Description/paired/bad12560-3f83-40ed-a52d-25b833437665_0.png", "image_2": "Description/paired/bad12560-3f83-40ed-a52d-25b833437665_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong dead pixel artifacts that manifest as multiple horizontal black lines across the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "a2455749-f372-42d9-950f-fa2d15182122", "image_1": "Description/paired/a2455749-f372-42d9-950f-fa2d15182122_0.png", "image_2": "Description/paired/a2455749-f372-42d9-950f-fa2d15182122_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong dead pixel artifacts, which appear as vertical black lines running through the image, disrupting the visual continuity. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "f7bbfb49-de8f-465f-9031-7be07ec5bc9c", "image_1": "Description/paired/f7bbfb49-de8f-465f-9031-7be07ec5bc9c_0.png", "image_2": "Description/paired/f7bbfb49-de8f-465f-9031-7be07ec5bc9c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains no observable distortions and appears clean and high-quality. Image 2 exhibits strong dead pixel artifacts, visible as vertical black lines disrupting the image. Therefore, Image 1 has higher overall quality due to the absence of distortions."}
{"id": "04648a91-8777-4902-a37c-46c485987d02", "image_1": "Description/paired/04648a91-8777-4902-a37c-46c485987d02_0.png", "image_2": "Description/paired/04648a91-8777-4902-a37c-46c485987d02_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and free of artifacts. Image 2 contains strong dead pixel artifacts, visible as vertical black lines running across the image, disrupting the visual continuity. Image 1 has higher overall quality because it is free of distortions, whereas Image 2 is significantly degraded by the dead pixel artifacts."}
{"id": "935dd3e0-f69c-4b7c-8ebb-759d429923b7", "image_1": "Description/paired/935dd3e0-f69c-4b7c-8ebb-759d429923b7_0.png", "image_2": "Description/paired/935dd3e0-f69c-4b7c-8ebb-759d429923b7_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong dead pixel artifacts, visible as vertical black lines running through the image. Image 2 has no observable distortions and appears clean and free of artifacts. Image 2 has higher overall quality because it lacks the prominent dead pixel artifacts present in Image 1."}
{"id": "3c1a3d22-f932-4f99-9878-87e927f7981b", "image_1": "Description/paired/3c1a3d22-f932-4f99-9878-87e927f7981b_0.png", "image_2": "Description/paired/3c1a3d22-f932-4f99-9878-87e927f7981b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe dead pixel artifacts, visible as vertical black lines across the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "1ff13316-72b6-4045-b683-22822cfa5624", "image_1": "Description/paired/1ff13316-72b6-4045-b683-22822cfa5624_0.png", "image_2": "Description/paired/1ff13316-72b6-4045-b683-22822cfa5624_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong dead pixel artifacts that appear as vertical black lines across the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "02354b6d-5974-42e9-8092-4f09a1f91861", "image_1": "Description/paired/02354b6d-5974-42e9-8092-4f09a1f91861_0.png", "image_2": "Description/paired/02354b6d-5974-42e9-8092-4f09a1f91861_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong dead pixel artifacts, which appear as vertical black lines across the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "6620fa80-8905-4b0a-85f5-d0f24ead05bc", "image_1": "Description/paired/6620fa80-8905-4b0a-85f5-d0f24ead05bc_0.png", "image_2": "Description/paired/6620fa80-8905-4b0a-85f5-d0f24ead05bc_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate dead pixel artifacts, visible as horizontal black lines across the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "a2068081-5244-41cc-a454-690dfaed32f6", "image_1": "Description/paired/a2068081-5244-41cc-a454-690dfaed32f6_0.png", "image_2": "Description/paired/a2068081-5244-41cc-a454-690dfaed32f6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate dead pixel artifacts, which appear as horizontal black lines across the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "2b572044-16de-47e8-9c32-2f6a6da1510c", "image_1": "Description/paired/2b572044-16de-47e8-9c32-2f6a6da1510c_0.png", "image_2": "Description/paired/2b572044-16de-47e8-9c32-2f6a6da1510c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe dead pixel artifacts, visible as horizontal black lines that disrupt the continuity of the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "26872f43-ef9e-4f38-a5c4-b60920e4270b", "image_1": "Description/paired/26872f43-ef9e-4f38-a5c4-b60920e4270b_0.png", "image_2": "Description/paired/26872f43-ef9e-4f38-a5c4-b60920e4270b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong dead pixel artifacts, visible as vertical black lines across the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "1887127d-4d68-4433-84b7-86fcbfe33d32", "image_1": "Description/paired/1887127d-4d68-4433-84b7-86fcbfe33d32_0.png", "image_2": "Description/paired/1887127d-4d68-4433-84b7-86fcbfe33d32_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong dead pixel artifacts, which appear as vertical black lines across the entire image. Image 2 shows no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "5555ebea-8137-41de-8612-420b54804136", "image_1": "Description/paired/5555ebea-8137-41de-8612-420b54804136_0.png", "image_2": "Description/paired/5555ebea-8137-41de-8612-420b54804136_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong dead pixel artifacts, visible as vertical black lines running through the image. Therefore, Image 1 has higher overall quality due to the absence of these distortions."}
{"id": "00883fa4-3d6b-4ab1-9850-5ccc3dc291a4", "image_1": "Description/paired/00883fa4-3d6b-4ab1-9850-5ccc3dc291a4_0.png", "image_2": "Description/paired/00883fa4-3d6b-4ab1-9850-5ccc3dc291a4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong dead pixel artifacts, visible as vertical black lines across the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "9b35d0f0-50c7-4f6d-b6f6-f36ce3b7c40e", "image_1": "Description/paired/9b35d0f0-50c7-4f6d-b6f6-f36ce3b7c40e_0.png", "image_2": "Description/paired/9b35d0f0-50c7-4f6d-b6f6-f36ce3b7c40e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe dead pixel artifacts, which appear as horizontal lines that disrupt the continuity of the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "5bf7a97e-0513-461a-b5f2-92b3c674aa74", "image_1": "Description/paired/5bf7a97e-0513-461a-b5f2-92b3c674aa74_0.png", "image_2": "Description/paired/5bf7a97e-0513-461a-b5f2-92b3c674aa74_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains severe dead pixel artifacts, visible as horizontal black lines across the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "1a93d231-598e-450c-99da-b997a8a72cb9", "image_1": "Description/paired/1a93d231-598e-450c-99da-b997a8a72cb9_0.png", "image_2": "Description/paired/1a93d231-598e-450c-99da-b997a8a72cb9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate dead pixel artifacts, which appear as vertical black lines across the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "cf2354a9-5e0c-4ad5-8fb7-239818da8f22", "image_1": "Description/paired/cf2354a9-5e0c-4ad5-8fb7-239818da8f22_0.png", "image_2": "Description/paired/cf2354a9-5e0c-4ad5-8fb7-239818da8f22_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe dead pixel artifacts, which appear as multiple vertical black lines across the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "2ccaca4c-f1f7-4a0b-b215-111823a08a90", "image_1": "Description/paired/2ccaca4c-f1f7-4a0b-b215-111823a08a90_0.png", "image_2": "Description/paired/2ccaca4c-f1f7-4a0b-b215-111823a08a90_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong dead pixel artifacts that appear as horizontal black lines across the image, disrupting the visual continuity. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "6b84b2e7-8824-468e-badb-7f9c4fcab9a9", "image_1": "Description/paired/6b84b2e7-8824-468e-badb-7f9c4fcab9a9_0.png", "image_2": "Description/paired/6b84b2e7-8824-468e-badb-7f9c4fcab9a9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe dead pixel artifacts, visible as vertical black lines across the image. Image 1 has higher overall quality because it is free from any distortions, unlike Image 2 which is marred by significant dead pixel artifacts."}
{"id": "4affe9e3-0804-4a8e-bb86-4051fd2c864e", "image_1": "Description/paired/4affe9e3-0804-4a8e-bb86-4051fd2c864e_0.png", "image_2": "Description/paired/4affe9e3-0804-4a8e-bb86-4051fd2c864e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe dead pixel artifacts, visible as two prominent horizontal black lines across the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "a713c004-ed42-432a-bbf6-a392d6df947f", "image_1": "Description/paired/a713c004-ed42-432a-bbf6-a392d6df947f_0.png", "image_2": "Description/paired/a713c004-ed42-432a-bbf6-a392d6df947f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe missing tiles artifacts, with a large white area covering the upper portion of the image, obscuring significant details. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visual artifacts."}
{"id": "fc4438cb-d698-438a-a9aa-36623a35388e", "image_1": "Description/paired/fc4438cb-d698-438a-a9aa-36623a35388e_0.png", "image_2": "Description/paired/fc4438cb-d698-438a-a9aa-36623a35388e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe missing tile artifacts, with a large white rectangular region obscuring significant portions of the image, making it incomplete and unusable for analysis. Image 2 has no observable distortions and appears clean, with all details intact and clearly visible. Image 2 has higher overall quality because it is free of artifacts and provides a complete, undistorted view of the scene."}
{"id": "e0fd3573-1ba9-4d9d-9ee1-8788255bb278", "image_1": "Description/paired/e0fd3573-1ba9-4d9d-9ee1-8788255bb278_0.png", "image_2": "Description/paired/e0fd3573-1ba9-4d9d-9ee1-8788255bb278_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong missing tile artifacts, visible as a large white rectangular region that disrupts the continuity of the image. Image 2 shows no observable distortions and appears clean and uniform throughout. Image 2 has higher overall quality because it is free of artifacts, unlike Image 1, which is significantly degraded by the missing tiles."}
{"id": "55d9c5f5-c6dc-4538-ad7e-be4e8fba351c", "image_1": "Description/paired/55d9c5f5-c6dc-4538-ad7e-be4e8fba351c_0.png", "image_2": "Description/paired/55d9c5f5-c6dc-4538-ad7e-be4e8fba351c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains a noticeable missing tiles artifact in the bottom right corner, where a significant portion of the image is absent, creating a blank white space. Image 2 has no observable distortions and appears clean and complete. Therefore, Image 2 has higher overall quality due to the absence of any missing tiles or other distortions."}
{"id": "82624518-9fcb-42c0-9b4f-e701362fa6c9", "image_1": "Description/paired/82624518-9fcb-42c0-9b4f-e701362fa6c9_0.png", "image_2": "Description/paired/82624518-9fcb-42c0-9b4f-e701362fa6c9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains a noticeable missing tiles artifact in the bottom left corner, where a white square is present, disrupting the continuity of the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "e8775f08-0588-4310-ac23-1bb8267941f4", "image_1": "Description/paired/e8775f08-0588-4310-ac23-1bb8267941f4_0.png", "image_2": "Description/paired/e8775f08-0588-4310-ac23-1bb8267941f4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe missing tiles artifacts, with a large white area disrupting the continuity of the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "d152099c-aea5-4187-9772-64c46ca122f7", "image_1": "Description/paired/d152099c-aea5-4187-9772-64c46ca122f7_0.png", "image_2": "Description/paired/d152099c-aea5-4187-9772-64c46ca122f7_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe missing tiles artifacts, visible as large white blank areas that obscure significant portions of the scene. Image 2 has no observable distortions and appears clean and free of artifacts. Image 2 has higher overall quality because it is complete and undistorted, unlike Image 1, which is heavily degraded by missing data."}
{"id": "839c2911-bab7-4c83-83f3-bd662ae2c02e", "image_1": "Description/paired/839c2911-bab7-4c83-83f3-bd662ae2c02e_0.png", "image_2": "Description/paired/839c2911-bab7-4c83-83f3-bd662ae2c02e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong missing tiles artifacts, evident as a large white rectangular area in the upper right corner. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "01dce946-74a6-4f26-829a-95b298a76070", "image_1": "Description/paired/01dce946-74a6-4f26-829a-95b298a76070_0.png", "image_2": "Description/paired/01dce946-74a6-4f26-829a-95b298a76070_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains a moderate missing tiles artifact in the upper right corner, where a significant portion of the image is missing and replaced with a white block. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "327dfc61-49e7-4475-bbd3-33de97fbfab2", "image_1": "Description/paired/327dfc61-49e7-4475-bbd3-33de97fbfab2_0.png", "image_2": "Description/paired/327dfc61-49e7-4475-bbd3-33de97fbfab2_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains no observable distortions and appears clean and high-quality. Image 2 exhibits strong missing tiles artifacts, visible as a large white rectangular area obscuring significant portions of the image. Image 1 has higher overall quality because it is free of distortions, while Image 2 is heavily degraded by missing data."}
{"id": "f4c2b651-e65c-4080-b3ce-15054233cf85", "image_1": "Description/paired/f4c2b651-e65c-4080-b3ce-15054233cf85_0.png", "image_2": "Description/paired/f4c2b651-e65c-4080-b3ce-15054233cf85_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains a significant missing tiles artifact, visible as a large white area in the upper right corner, disrupting the continuity of the landscape. Image 2 has no observable distortions and presents a consistent and complete view of the terrain. Therefore, Image 2 has higher overall quality due to its lack of artifacts and complete visual representation."}
{"id": "5465f371-336b-466a-bdb3-51f1b42fbb42", "image_1": "Description/paired/5465f371-336b-466a-bdb3-51f1b42fbb42_0.png", "image_2": "Description/paired/5465f371-336b-466a-bdb3-51f1b42fbb42_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains severe missing tiles artifacts, characterized by a large white rectangular area obscuring part of the image. Image 1 has higher overall quality due to the absence of any distortions, whereas Image 2 is significantly compromised by the missing tiles."}
{"id": "c3d138f3-f660-49ba-ad2e-c63f3a6402cd", "image_1": "Description/paired/c3d138f3-f660-49ba-ad2e-c63f3a6402cd_0.png", "image_2": "Description/paired/c3d138f3-f660-49ba-ad2e-c63f3a6402cd_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong missing tiles artifacts, evident as a large white square in the bottom left corner. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "90153b5a-6839-4a57-8a14-757f28357fa7", "image_1": "Description/paired/90153b5a-6839-4a57-8a14-757f28357fa7_0.png", "image_2": "Description/paired/90153b5a-6839-4a57-8a14-757f28357fa7_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong missing tiles artifacts, with a large white area in the upper left quadrant disrupting the continuity of the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions compared to the significant missing tiles in Image 2."}
{"id": "8d8882f4-43d4-407a-a95a-e78dfe0ed1f8", "image_1": "Description/paired/8d8882f4-43d4-407a-a95a-e78dfe0ed1f8_0.png", "image_2": "Description/paired/8d8882f4-43d4-407a-a95a-e78dfe0ed1f8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe missing tile artifacts, with large white blank areas disrupting the continuity of the image and obscuring significant portions of the terrain. Image 2 has no observable distortions and displays a clean, continuous view of the terrain. Image 2 has higher overall quality because it is free of artifacts and provides a complete and uninterrupted representation of the scene."}
{"id": "16ec90c3-9ad3-41a2-952e-bf998f9999f9", "image_1": "Description/paired/16ec90c3-9ad3-41a2-952e-bf998f9999f9_0.png", "image_2": "Description/paired/16ec90c3-9ad3-41a2-952e-bf998f9999f9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe missing tiles artifacts, with large white areas obscuring significant portions of the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "6793d0d0-75c1-4dcb-a83b-a7704bc49c86", "image_1": "Description/paired/6793d0d0-75c1-4dcb-a83b-a7704bc49c86_0.png", "image_2": "Description/paired/6793d0d0-75c1-4dcb-a83b-a7704bc49c86_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains a strong missing tiles artifact, with a large white area in the bottom left corner where image data is absent. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any missing data or artifacts."}
{"id": "db948ac4-dc86-4e74-b51d-d2ce3043f0e9", "image_1": "Description/paired/db948ac4-dc86-4e74-b51d-d2ce3043f0e9_0.png", "image_2": "Description/paired/db948ac4-dc86-4e74-b51d-d2ce3043f0e9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate missing tiles artifacts, which are visible as blank white areas in the upper right corner of the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "dad17efb-216b-42ad-a59c-f4b00bf716ac", "image_1": "Description/paired/dad17efb-216b-42ad-a59c-f4b00bf716ac_0.png", "image_2": "Description/paired/dad17efb-216b-42ad-a59c-f4b00bf716ac_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains a significant missing tiles artifact in the upper right corner, where a large white area is visible, indicating a lack of data. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any missing data or artifacts."}
{"id": "502528b5-cdd6-48a3-809f-56e8bcf4c30e", "image_1": "Description/paired/502528b5-cdd6-48a3-809f-56e8bcf4c30e_0.png", "image_2": "Description/paired/502528b5-cdd6-48a3-809f-56e8bcf4c30e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains a noticeable missing tiles artifact in the lower-left corner, where a significant portion of the image is blank and devoid of any data. Image 2 has no observable distortions and appears clean and complete. Therefore, Image 2 has higher overall quality due to the absence of any missing data or artifacts."}
{"id": "c8db0e58-0aef-4cba-8ba7-c92d348448e8", "image_1": "Description/paired/c8db0e58-0aef-4cba-8ba7-c92d348448e8_0.png", "image_2": "Description/paired/c8db0e58-0aef-4cba-8ba7-c92d348448e8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe missing tiles artifacts, which appear as large white blank areas that obscure significant portions of the image. Image 2 has no observable distortions and appears clean and continuous. Therefore, Image 2 has higher overall quality due to the absence of any distortions and the presence of complete visual information."}
{"id": "9781eefe-a1db-4a4c-9b8a-6b6d7b82ba16", "image_1": "Description/paired/9781eefe-a1db-4a4c-9b8a-6b6d7b82ba16_0.png", "image_2": "Description/paired/9781eefe-a1db-4a4c-9b8a-6b6d7b82ba16_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains a noticeable missing tile artifact in the bottom left corner, where a white, blank area disrupts the continuity of the image. Image 2 has no observable distortions and appears clean and continuous throughout. Therefore, Image 2 has higher overall quality due to the absence of any distortions or missing tiles."}
{"id": "c8e6811e-2947-45f9-9c54-8e2880682a76", "image_1": "Description/paired/c8e6811e-2947-45f9-9c54-8e2880682a76_0.png", "image_2": "Description/paired/c8e6811e-2947-45f9-9c54-8e2880682a76_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe missing tiles artifacts, with a large white area obscuring a significant portion of the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "21764fce-ff81-4e9e-9083-257038b67610", "image_1": "Description/paired/21764fce-ff81-4e9e-9083-257038b67610_0.png", "image_2": "Description/paired/21764fce-ff81-4e9e-9083-257038b67610_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong missing tiles artifacts, with a significant portion of the image missing and replaced by a white area. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "ac258e84-5f55-4b76-bd0c-7f6e503c3282", "image_1": "Description/paired/ac258e84-5f55-4b76-bd0c-7f6e503c3282_0.png", "image_2": "Description/paired/ac258e84-5f55-4b76-bd0c-7f6e503c3282_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe missing tiles artifacts, with a large white area in the bottom right corner where image data is absent. Therefore, Image 1 has higher overall quality due to the absence of any distortions compared to the significant missing data in Image 2."}
{"id": "3ea7edb3-448b-4bf3-8290-9c5f43c6ad69", "image_1": "Description/paired/3ea7edb3-448b-4bf3-8290-9c5f43c6ad69_0.png", "image_2": "Description/paired/3ea7edb3-448b-4bf3-8290-9c5f43c6ad69_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe missing tiles artifacts, with a large white rectangular area obscuring significant portions of the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions compared to the severe artifacts present in Image 2."}
{"id": "306b5657-8273-41d6-9fe7-b88438cbab73", "image_1": "Description/paired/306b5657-8273-41d6-9fe7-b88438cbab73_0.png", "image_2": "Description/paired/306b5657-8273-41d6-9fe7-b88438cbab73_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe missing tiles artifacts, visible as large white patches that obscure significant portions of the image. Image 2 has no observable distortions and appears clean and continuous. Therefore, Image 2 has higher overall quality due to the absence of any visual artifacts."}
{"id": "14f2146b-bbfc-4e13-b830-4a5c6e8d4719", "image_1": "Description/paired/14f2146b-bbfc-4e13-b830-4a5c6e8d4719_0.png", "image_2": "Description/paired/14f2146b-bbfc-4e13-b830-4a5c6e8d4719_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong missing tiles artifacts, with a significant white square area where image data is absent. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "b6310617-d2a8-4c25-845d-281a1ae2b583", "image_1": "Description/paired/b6310617-d2a8-4c25-845d-281a1ae2b583_0.png", "image_2": "Description/paired/b6310617-d2a8-4c25-845d-281a1ae2b583_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong missing tiles artifacts, which are visible as large, blank white areas disrupting the continuity of the landscape. Image 2 has no observable distortions and appears clean and continuous throughout. Therefore, Image 2 has higher overall quality due to the absence of any distortions."}
{"id": "e918aabc-d633-4d9f-b7c2-37303965906b", "image_1": "Description/paired/e918aabc-d633-4d9f-b7c2-37303965906b_0.png", "image_2": "Description/paired/e918aabc-d633-4d9f-b7c2-37303965906b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains a significant missing tiles artifact, visible as a large white rectangular area in the lower right corner, disrupting the continuity of the landscape. Image 2 has no observable distortions and presents a continuous, undisturbed view of the terrain. Therefore, Image 2 has higher overall quality due to the absence of any visual artifacts."}
{"id": "36ac6aaf-f910-4b53-80db-3c0f556168e0", "image_1": "Description/paired/36ac6aaf-f910-4b53-80db-3c0f556168e0_0.png", "image_2": "Description/paired/36ac6aaf-f910-4b53-80db-3c0f556168e0_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe deadline noise artifacts, characterized by horizontal lines that disrupt the visual continuity and clarity of the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to its lack of distortions and clear visual presentation."}
{"id": "f25bded6-f062-44f2-a21d-12148a561801", "image_1": "Description/paired/f25bded6-f062-44f2-a21d-12148a561801_0.png", "image_2": "Description/paired/f25bded6-f062-44f2-a21d-12148a561801_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe deadline noise artifacts, characterized by numerous horizontal lines that disrupt the visual continuity and clarity of the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any distortions."}
{"id": "3e434ada-b771-4da9-a25a-a57b576fd294", "image_1": "Description/paired/3e434ada-b771-4da9-a25a-a57b576fd294_0.png", "image_2": "Description/paired/3e434ada-b771-4da9-a25a-a57b576fd294_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains severe deadline noise artifacts, visible as horizontal lines and speckles across the image. Therefore, Image 1 has higher overall quality due to the absence of distortions."}
{"id": "20d31996-9ee3-47fb-aaf0-d8db3663089d", "image_1": "Description/paired/20d31996-9ee3-47fb-aaf0-d8db3663089d_0.png", "image_2": "Description/paired/20d31996-9ee3-47fb-aaf0-d8db3663089d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong deadline noise artifacts, which manifest as horizontal lines that disrupt the image's continuity and clarity. Therefore, Image 1 has higher overall quality due to the absence of any distortions compared to the significant artifacts present in Image 2."}
{"id": "67f741cf-af80-4121-843c-f33a827d9cb4", "image_1": "Description/paired/67f741cf-af80-4121-843c-f33a827d9cb4_0.png", "image_2": "Description/paired/67f741cf-af80-4121-843c-f33a827d9cb4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe deadline noise artifacts, characterized by horizontal lines that disrupt the visual integrity of the image. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the heavily artifact-laden Image 2."}
{"id": "cdf10cbb-0b63-430e-ba0b-4b17cd4691db", "image_1": "Description/paired/cdf10cbb-0b63-430e-ba0b-4b17cd4691db_0.png", "image_2": "Description/paired/cdf10cbb-0b63-430e-ba0b-4b17cd4691db_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong deadline noise artifacts, characterized by horizontal lines that disrupt the image clarity. Therefore, Image 1 has higher overall quality due to the absence of any distortions compared to the significant noise in Image 2."}
{"id": "f5d2823b-fc9a-465f-be6f-0702688e419e", "image_1": "Description/paired/f5d2823b-fc9a-465f-be6f-0702688e419e_0.png", "image_2": "Description/paired/f5d2823b-fc9a-465f-be6f-0702688e419e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate deadline noise artifacts, visible as horizontal lines across the image. Image 1 has higher overall quality because it lacks the deadline noise present in Image 2."}
{"id": "8593168a-0031-4a8e-9724-65a584159821", "image_1": "Description/paired/8593168a-0031-4a8e-9724-65a584159821_0.png", "image_2": "Description/paired/8593168a-0031-4a8e-9724-65a584159821_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality. Image 2 contains noticeable deadline noise artifacts in the form of horizontal black lines that disrupt the visual continuity of the image. Image 1 has higher overall quality because it is free of distortions, unlike Image 2, which is degraded by the visible noise artifacts."}
{"id": "e9a828f2-492f-401c-a20d-3ad7994d11b3", "image_1": "Description/paired/e9a828f2-492f-401c-a20d-3ad7994d11b3_0.png", "image_2": "Description/paired/e9a828f2-492f-401c-a20d-3ad7994d11b3_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains no observable distortions and appears visually clean and high-quality. Image 2 contains severe deadline noise artifacts, characterized by horizontal lines that disrupt the clarity and detail of the image. Therefore, Image 1 has higher overall quality due to the absence of distortions and better visual clarity."}
{"id": "325d1ff4-addc-4d07-a7e9-3ebe730c97d1", "image_1": "Description/paired/325d1ff4-addc-4d07-a7e9-3ebe730c97d1_0.png", "image_2": "Description/paired/325d1ff4-addc-4d07-a7e9-3ebe730c97d1_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong deadline noise artifacts, visible as horizontal lines across the entire image, which significantly degrade its visual quality. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "75a980bf-b7b9-415a-a317-d3de06feeead", "image_1": "Description/paired/75a980bf-b7b9-415a-a317-d3de06feeead_0.png", "image_2": "Description/paired/75a980bf-b7b9-415a-a317-d3de06feeead_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe deadline noise artifacts, characterized by horizontal lines that disrupt the image clarity and detail. Therefore, Image 1 has higher overall quality due to the absence of any distortions compared to the significant noise in Image 2."}
{"id": "26f16a10-7b9a-4830-b0de-5a9969947b5b", "image_1": "Description/paired/26f16a10-7b9a-4830-b0de-5a9969947b5b_0.png", "image_2": "Description/paired/26f16a10-7b9a-4830-b0de-5a9969947b5b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate deadline noise artifacts, visible as horizontal lines that disrupt the continuity and clarity of the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible noise artifacts."}
{"id": "3553557e-f54c-44d3-910f-304ce38b225c", "image_1": "Description/paired/3553557e-f54c-44d3-910f-304ce38b225c_0.png", "image_2": "Description/paired/3553557e-f54c-44d3-910f-304ce38b225c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong deadline noise artifacts, visible as horizontal black lines that disrupt the continuity of the image and obscure details. Image 2 has no observable distortions and appears clean and free of artifacts. Image 2 has higher overall quality because it is free of the severe deadline noise present in Image 1."}
{"id": "eab69096-f8e4-419f-be01-487b576f4c70", "image_1": "Description/paired/eab69096-f8e4-419f-be01-487b576f4c70_0.png", "image_2": "Description/paired/eab69096-f8e4-419f-be01-487b576f4c70_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong deadline noise artifacts, appearing as horizontal black lines that disrupt the visual continuity of the image. Image 2 shows no observable distortions and appears clean and free of artifacts. Therefore, Image 2 has higher overall quality due to its lack of distortions compared to the severe noise in Image 1."}
{"id": "5cb89db3-53e5-4104-907f-3a1a7b7fc46c", "image_1": "Description/paired/5cb89db3-53e5-4104-907f-3a1a7b7fc46c_0.png", "image_2": "Description/paired/5cb89db3-53e5-4104-907f-3a1a7b7fc46c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe deadline noise artifacts, characterized by horizontal lines that disrupt the visual continuity and clarity of the image. Image 2 has no observable distortions and appears clean and high-quality. Image 2 has higher overall quality due to its lack of distortions and clearer visual presentation."}
{"id": "6b9d9a4b-bd09-40bc-89d7-933940bcedcd", "image_1": "Description/paired/6b9d9a4b-bd09-40bc-89d7-933940bcedcd_0.png", "image_2": "Description/paired/6b9d9a4b-bd09-40bc-89d7-933940bcedcd_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong deadline noise artifacts, which manifest as horizontal lines across the image, disrupting the visual continuity. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "b4b30030-187d-444a-85b4-dcfaccd70a20", "image_1": "Description/paired/b4b30030-187d-444a-85b4-dcfaccd70a20_0.png", "image_2": "Description/paired/b4b30030-187d-444a-85b4-dcfaccd70a20_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains noticeable deadline noise artifacts, which appear as horizontal lines disrupting the continuity of the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "4c73d708-1298-416a-a00d-f4906c96c6be", "image_1": "Description/paired/4c73d708-1298-416a-a00d-f4906c96c6be_0.png", "image_2": "Description/paired/4c73d708-1298-416a-a00d-f4906c96c6be_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains moderate deadline noise artifacts, which manifest as horizontal lines across the image, disrupting the visual continuity. Image 1 has higher overall quality because it is free from any distortions, unlike Image 2 which is affected by noticeable deadline noise."}
{"id": "44982e85-bf11-4be0-9da7-9e53a1377b66", "image_1": "Description/paired/44982e85-bf11-4be0-9da7-9e53a1377b66_0.png", "image_2": "Description/paired/44982e85-bf11-4be0-9da7-9e53a1377b66_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains moderate deadline noise artifacts, visible as horizontal lines that disrupt the image continuity. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "e9b25cd1-9a1d-4719-a822-0bc46cf1f5dc", "image_1": "Description/paired/e9b25cd1-9a1d-4719-a822-0bc46cf1f5dc_0.png", "image_2": "Description/paired/e9b25cd1-9a1d-4719-a822-0bc46cf1f5dc_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains moderate deadline noise artifacts, visible as horizontal lines that disrupt the continuity and clarity of the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "88cd87b4-461d-4b32-8d5b-49bd25190bec", "image_1": "Description/paired/88cd87b4-461d-4b32-8d5b-49bd25190bec_0.png", "image_2": "Description/paired/88cd87b4-461d-4b32-8d5b-49bd25190bec_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe deadline noise artifacts, which appear as horizontal lines disrupting the visual continuity of the image. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "2a188ada-64b0-48fa-904e-4930c1860f6b", "image_1": "Description/paired/2a188ada-64b0-48fa-904e-4930c1860f6b_0.png", "image_2": "Description/paired/2a188ada-64b0-48fa-904e-4930c1860f6b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe deadline noise artifacts that appear as horizontal lines running across the entire image, significantly degrading its visual quality. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of any distortions."}
{"id": "29a8e1d4-b77e-490b-bf63-37dba80442e9", "image_1": "Description/paired/29a8e1d4-b77e-490b-bf63-37dba80442e9_0.png", "image_2": "Description/paired/29a8e1d4-b77e-490b-bf63-37dba80442e9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe deadline noise artifacts, characterized by horizontal lines that disrupt the visual continuity and obscure details. Image 2 shows no observable distortions and maintains clear and consistent visual quality throughout. Therefore, Image 2 has higher overall quality due to the absence of any distortions, unlike Image 1, which is significantly affected by deadline noise."}
{"id": "32a58530-ee82-4158-8474-e8b8fc4ecec4", "image_1": "Description/paired/32a58530-ee82-4158-8474-e8b8fc4ecec4_0.png", "image_2": "Description/paired/32a58530-ee82-4158-8474-e8b8fc4ecec4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong deadline noise artifacts, which manifest as horizontal lines across the entire image, significantly degrading its visual quality. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the heavily noise-affected Image 2."}
{"id": "85bb31f6-65ad-4cbc-a22b-c5567076a909", "image_1": "Description/paired/85bb31f6-65ad-4cbc-a22b-c5567076a909_0.png", "image_2": "Description/paired/85bb31f6-65ad-4cbc-a22b-c5567076a909_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe deadline noise artifacts, which manifest as horizontal lines and significantly degrade the image quality. Therefore, Image 1 has higher overall quality due to the absence of any distortions compared to the heavily distorted Image 2."}
{"id": "561ec012-71c0-48ea-8ba0-55a55187056c", "image_1": "Description/paired/561ec012-71c0-48ea-8ba0-55a55187056c_0.png", "image_2": "Description/paired/561ec012-71c0-48ea-8ba0-55a55187056c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong deadline noise artifacts, which manifest as horizontal lines across the entire image, significantly degrading its visual quality. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "1e2d192d-6fc4-4b6a-8716-dcf3c7d5cbd4", "image_1": "Description/paired/1e2d192d-6fc4-4b6a-8716-dcf3c7d5cbd4_0.png", "image_2": "Description/paired/1e2d192d-6fc4-4b6a-8716-dcf3c7d5cbd4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe deadline noise artifacts, characterized by numerous horizontal lines that disrupt the visual continuity of the terrain. Image 2 shows no observable distortions and presents a clear, high-quality view of the landscape. Therefore, Image 2 has higher overall quality due to the absence of any distortions."}
{"id": "3f94fb1b-4b9c-43dd-a4ea-d4239a9c9fe6", "image_1": "Description/paired/3f94fb1b-4b9c-43dd-a4ea-d4239a9c9fe6_0.png", "image_2": "Description/paired/3f94fb1b-4b9c-43dd-a4ea-d4239a9c9fe6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe deadline noise artifacts, characterized by numerous horizontal lines that disrupt the visual continuity of the image. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of any visible distortions."}
{"id": "1272424e-cbf9-4fdf-8545-e227e2e01539", "image_1": "Description/paired/1272424e-cbf9-4fdf-8545-e227e2e01539_0.png", "image_2": "Description/paired/1272424e-cbf9-4fdf-8545-e227e2e01539_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong deadline noise artifacts, which appear as multiple horizontal lines running across the image, disrupting the visual continuity. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "4dc28999-8256-4269-b060-b459daa773b4", "image_1": "Description/paired/4dc28999-8256-4269-b060-b459daa773b4_0.png", "image_2": "Description/paired/4dc28999-8256-4269-b060-b459daa773b4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong deadline noise artifacts, which manifest as horizontal lines disrupting the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "d052fea3-b9b8-4e32-ac00-358449da3590", "image_1": "Description/paired/d052fea3-b9b8-4e32-ac00-358449da3590_0.png", "image_2": "Description/paired/d052fea3-b9b8-4e32-ac00-358449da3590_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and sharp, with well-defined details. Image 2 contains noticeable moderate Gaussian noise, visible as grainy artifacts that reduce the clarity and smoothness of the image. Image 1 has higher overall quality because it is free from noise and retains better visual detail compared to the noisy Image 2."}
{"id": "61a56955-2d3a-4fd4-b3c3-4366ec1de6e8", "image_1": "Description/paired/61a56955-2d3a-4fd4-b3c3-4366ec1de6e8_0.png", "image_2": "Description/paired/61a56955-2d3a-4fd4-b3c3-4366ec1de6e8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains strong Gaussian noise artifacts, which manifest as random speckles and graininess throughout the image, significantly degrading its clarity. Therefore, Image 1 has higher overall quality due to its lack of distortions and superior visual clarity compared to the noisy Image 2."}
{"id": "517e3eb7-25f1-4469-be52-0eb01095bfad", "image_1": "Description/paired/517e3eb7-25f1-4469-be52-0eb01095bfad_0.png", "image_2": "Description/paired/517e3eb7-25f1-4469-be52-0eb01095bfad_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe Gaussian noise, characterized by a random speckled pattern of multicolored pixels that obscures fine details and reduces visual clarity. Image 2 shows no observable distortions and maintains a clean, high-quality appearance with clear and detailed features. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior visual clarity compared to the heavily degraded Image 1."}
{"id": "7961350b-20c8-4d7e-8d8e-c6e29c0b8a23", "image_1": "Description/paired/7961350b-20c8-4d7e-8d8e-c6e29c0b8a23_0.png", "image_2": "Description/paired/7961350b-20c8-4d7e-8d8e-c6e29c0b8a23_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean, with clear details and smooth textures. Image 2 exhibits strong Gaussian noise artifacts, visible as grainy speckles that obscure fine details and reduce overall clarity. Image 1 has higher overall quality because it is free of distortions, while Image 2 is heavily degraded by noise."}
{"id": "f326abe0-fc17-4a62-9bac-77425b74979c", "image_1": "Description/paired/f326abe0-fc17-4a62-9bac-77425b74979c_0.png", "image_2": "Description/paired/f326abe0-fc17-4a62-9bac-77425b74979c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality. Image 2 contains strong Gaussian noise artifacts, visible as random grainy patterns that degrade the clarity and detail of the image. Image 1 has higher overall quality because it is free of distortions, while Image 2 is significantly affected by noise."}
{"id": "4c52ca2d-3494-4033-8629-91fccc3643bf", "image_1": "Description/paired/4c52ca2d-3494-4033-8629-91fccc3643bf_0.png", "image_2": "Description/paired/4c52ca2d-3494-4033-8629-91fccc3643bf_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains moderate Gaussian noise artifacts, which manifest as random variations in pixel intensity, giving the image a grainy texture. Therefore, Image 1 has higher overall quality due to the absence of noise and clearer visual details."}
{"id": "c24903fb-35d6-470e-b117-001ad2adbce8", "image_1": "Description/paired/c24903fb-35d6-470e-b117-001ad2adbce8_0.png", "image_2": "Description/paired/c24903fb-35d6-470e-b117-001ad2adbce8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe Gaussian noise artifacts, which manifest as a dense pattern of multicolored speckles that obscure the underlying details. Image 1 has higher overall quality because it is free from the significant noise present in Image 2."}
{"id": "d6195da1-7c03-40be-a7a2-93a142108a99", "image_1": "Description/paired/d6195da1-7c03-40be-a7a2-93a142108a99_0.png", "image_2": "Description/paired/d6195da1-7c03-40be-a7a2-93a142108a99_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong Gaussian noise artifacts, appearing as random speckles and graininess that obscure fine details. Image 2 shows no observable distortions and maintains clear and sharp visual quality. Therefore, Image 2 has higher overall quality due to its lack of noise and superior clarity."}
{"id": "97cf08e9-0d5e-4a53-82ea-853e22535102", "image_1": "Description/paired/97cf08e9-0d5e-4a53-82ea-853e22535102_0.png", "image_2": "Description/paired/97cf08e9-0d5e-4a53-82ea-853e22535102_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains severe Gaussian noise artifacts, which manifest as random speckles and graininess throughout the image, significantly degrading its visual clarity. Image 1 has higher overall quality due to the absence of distortions compared to the noisy appearance of Image 2."}
{"id": "220b23fb-a8f4-4011-8abc-b44542a50cf8", "image_1": "Description/paired/220b23fb-a8f4-4011-8abc-b44542a50cf8_0.png", "image_2": "Description/paired/220b23fb-a8f4-4011-8abc-b44542a50cf8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe Gaussian noise artifacts, which manifest as random speckles of various colors throughout the image, significantly degrading its visual quality. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer appearance compared to the noisy Image 2."}
{"id": "fbaf4887-7323-4685-bc8c-917d507e9c38", "image_1": "Description/paired/fbaf4887-7323-4685-bc8c-917d507e9c38_0.png", "image_2": "Description/paired/fbaf4887-7323-4685-bc8c-917d507e9c38_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains moderate Gaussian noise artifacts, which manifest as random variations in pixel intensity, giving the image a grainy appearance. Image 1 has higher overall quality due to the absence of noise and distortions."}
{"id": "7f935733-4b34-496e-9553-6782ad29ad20", "image_1": "Description/paired/7f935733-4b34-496e-9553-6782ad29ad20_0.png", "image_2": "Description/paired/7f935733-4b34-496e-9553-6782ad29ad20_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 appears clean and free of any observable distortions, maintaining clear and sharp visual details. Image 2 exhibits strong Gaussian noise artifacts, which manifest as random speckles and graininess that significantly degrade the image quality. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual representation."}
{"id": "9c611f78-e071-4a0c-8e1f-d2fffd6bb3d8", "image_1": "Description/paired/9c611f78-e071-4a0c-8e1f-d2fffd6bb3d8_0.png", "image_2": "Description/paired/9c611f78-e071-4a0c-8e1f-d2fffd6bb3d8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and uniform. Image 2 contains strong Gaussian noise artifacts, visible as random speckles and graininess that disrupt the uniformity of the image. Image 1 has higher overall quality because it is free of distortions, unlike Image 2, which is heavily degraded by noise."}
{"id": "7dc92c70-1641-48c7-9e12-3d6b1f18cea6", "image_1": "Description/paired/7dc92c70-1641-48c7-9e12-3d6b1f18cea6_0.png", "image_2": "Description/paired/7dc92c70-1641-48c7-9e12-3d6b1f18cea6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality with well-preserved details. Image 2 exhibits moderate Gaussian noise artifacts, visible as grainy patterns that obscure finer details and reduce overall clarity. Image 1 has higher overall quality because it is free from noise and retains better visual detail compared to the noisy Image 2."}
{"id": "1349f557-2566-448e-86ac-85e96779fac2", "image_1": "Description/paired/1349f557-2566-448e-86ac-85e96779fac2_0.png", "image_2": "Description/paired/1349f557-2566-448e-86ac-85e96779fac2_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe Gaussian noise artifacts, which manifest as random speckles and graininess throughout the image, significantly degrading its visual clarity. Image 2 has no observable distortions and appears clean and clear with well-defined details. Therefore, Image 2 has higher overall quality due to its lack of noise and superior visual clarity compared to Image 1."}
{"id": "9cba46b2-0a68-4bcc-b056-2765fac0ca4a", "image_1": "Description/paired/9cba46b2-0a68-4bcc-b056-2765fac0ca4a_0.png", "image_2": "Description/paired/9cba46b2-0a68-4bcc-b056-2765fac0ca4a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and clear. Image 2 contains moderate Gaussian noise artifacts, which manifest as graininess and a reduction in image clarity. Therefore, Image 1 has higher overall quality due to the absence of noise and distortions."}
{"id": "82026413-dc13-4562-89d4-c43e24c9c9a5", "image_1": "Description/paired/82026413-dc13-4562-89d4-c43e24c9c9a5_0.png", "image_2": "Description/paired/82026413-dc13-4562-89d4-c43e24c9c9a5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate Gaussian noise artifacts, which manifest as random variations in brightness and a grainy texture across the entire image. Image 2 shows no observable distortions and appears clean and clear with well-defined details. Therefore, Image 2 has higher overall quality due to the absence of noise and clearer visual information."}
{"id": "97eb49de-b891-45aa-8b00-ae6d43e739d7", "image_1": "Description/paired/97eb49de-b891-45aa-8b00-ae6d43e739d7_0.png", "image_2": "Description/paired/97eb49de-b891-45aa-8b00-ae6d43e739d7_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate Gaussian noise artifacts, which manifest as random variations in brightness and graininess across the image. Image 2 shows no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of noise and distortions present in Image 1."}
{"id": "ea07aef0-a194-43d5-8301-f9efac421f4d", "image_1": "Description/paired/ea07aef0-a194-43d5-8301-f9efac421f4d_0.png", "image_2": "Description/paired/ea07aef0-a194-43d5-8301-f9efac421f4d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong Gaussian noise artifacts, which manifest as random variations in brightness and color, giving the image a grainy appearance. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of noise and distortions."}
{"id": "af18bf16-718f-4f23-a00b-867997fb52b9", "image_1": "Description/paired/af18bf16-718f-4f23-a00b-867997fb52b9_0.png", "image_2": "Description/paired/af18bf16-718f-4f23-a00b-867997fb52b9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe Gaussian noise artifacts, which manifest as random speckles and graininess throughout the image, significantly degrading its visual clarity. Image 2 shows no observable distortions and maintains a clear and detailed representation of the area. Therefore, Image 2 has higher overall quality due to its lack of noise and superior visual clarity."}
{"id": "cd41cb2e-e169-4357-96c0-79c5a0431bc8", "image_1": "Description/paired/cd41cb2e-e169-4357-96c0-79c5a0431bc8_0.png", "image_2": "Description/paired/cd41cb2e-e169-4357-96c0-79c5a0431bc8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate Gaussian noise artifacts, which manifest as random speckles and graininess across the image, reducing its clarity and detail. Image 2 has no observable distortions and appears clean and sharp with well-defined features. Therefore, Image 2 has higher overall quality due to its lack of noise and clearer visual presentation."}
{"id": "3836904b-386c-4377-85c5-46537658ed4f", "image_1": "Description/paired/3836904b-386c-4377-85c5-46537658ed4f_0.png", "image_2": "Description/paired/3836904b-386c-4377-85c5-46537658ed4f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe Gaussian noise artifacts, which manifest as random speckles of color and graininess throughout the image, significantly degrading its clarity. Image 2 has no observable distortions and appears clean and sharp with clear details. Therefore, Image 2 has higher overall quality due to the absence of noise and the presence of clear, undistorted visual information."}
{"id": "90a4b20f-830c-4f70-b46d-b847ee7cf89e", "image_1": "Description/paired/90a4b20f-830c-4f70-b46d-b847ee7cf89e_0.png", "image_2": "Description/paired/90a4b20f-830c-4f70-b46d-b847ee7cf89e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe Gaussian noise artifacts, which manifest as a dense, multicolored speckling effect that significantly degrades the image quality. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "c59b7a3b-677b-4d41-9423-10d7d1a228ad", "image_1": "Description/paired/c59b7a3b-677b-4d41-9423-10d7d1a228ad_0.png", "image_2": "Description/paired/c59b7a3b-677b-4d41-9423-10d7d1a228ad_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong Gaussian noise artifacts, which manifest as random variations in brightness and color, giving the image a grainy and speckled appearance. Image 2 has no observable distortions and appears clean and clear with well-defined details. Therefore, Image 2 has higher overall quality due to the absence of noise and clearer visual information."}
{"id": "8d6425ab-3f39-4377-9e40-924edbb5f13e", "image_1": "Description/paired/8d6425ab-3f39-4377-9e40-924edbb5f13e_0.png", "image_2": "Description/paired/8d6425ab-3f39-4377-9e40-924edbb5f13e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong Gaussian noise artifacts, which manifest as random speckles and graininess throughout the image, significantly degrading its clarity. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "6aab081e-04ec-4d68-a600-539c3b98753d", "image_1": "Description/paired/6aab081e-04ec-4d68-a600-539c3b98753d_0.png", "image_2": "Description/paired/6aab081e-04ec-4d68-a600-539c3b98753d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe Gaussian noise artifacts, which manifest as random speckles and graininess throughout the image, significantly degrading its visual quality. Image 1 has higher overall quality because it is free from distortions, unlike Image 2, which is heavily affected by noise."}
{"id": "d5dae1c4-cd5d-42a5-9c2e-fd02b2f21924", "image_1": "Description/paired/d5dae1c4-cd5d-42a5-9c2e-fd02b2f21924_0.png", "image_2": "Description/paired/d5dae1c4-cd5d-42a5-9c2e-fd02b2f21924_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe Gaussian noise artifacts, which manifest as a dense, multicolored speckling effect that significantly degrades the image quality. Image 1 has higher overall quality because it is free from distortions, whereas Image 2 is heavily affected by noise."}
{"id": "503af441-4449-484f-a72c-ba76f22100f6", "image_1": "Description/paired/503af441-4449-484f-a72c-ba76f22100f6_0.png", "image_2": "Description/paired/503af441-4449-484f-a72c-ba76f22100f6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong Gaussian noise artifacts, which manifest as random speckles and graininess across the entire image, significantly degrading its visual clarity. Image 2 shows no observable distortions and maintains a clear and detailed representation of the terrain. Therefore, Image 2 has higher overall quality due to its lack of noise and superior visual clarity."}
{"id": "ef1de9be-94ea-44fa-a984-c928ea9135d6", "image_1": "Description/paired/ef1de9be-94ea-44fa-a984-c928ea9135d6_0.png", "image_2": "Description/paired/ef1de9be-94ea-44fa-a984-c928ea9135d6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe Gaussian noise artifacts, which manifest as a dense, multicolored speckling effect that significantly obscures the underlying details. Image 2 shows no observable distortions and presents a clear and detailed view of the terrain. Therefore, Image 2 has higher overall quality due to its lack of noise and superior clarity."}
{"id": "4cefb46d-8e98-4dfb-af9c-f015a1f4a69b", "image_1": "Description/paired/4cefb46d-8e98-4dfb-af9c-f015a1f4a69b_0.png", "image_2": "Description/paired/4cefb46d-8e98-4dfb-af9c-f015a1f4a69b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong Gaussian noise artifacts, which manifest as random speckles and graininess across the entire image, obscuring fine details and reducing clarity. Image 2 shows no observable distortions and maintains clear, sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of noise and superior clarity."}
{"id": "970d999e-b680-4ea4-85d9-9f0fd3dedfb4", "image_1": "Description/paired/970d999e-b680-4ea4-85d9-9f0fd3dedfb4_0.png", "image_2": "Description/paired/970d999e-b680-4ea4-85d9-9f0fd3dedfb4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate impulse noise artifacts, visible as numerous small white dots scattered across the image. Image 1 has higher overall quality because it lacks the impulse noise present in Image 2."}
{"id": "34cfa4be-cd87-46be-8513-b5ac19ea8055", "image_1": "Description/paired/34cfa4be-cd87-46be-8513-b5ac19ea8055_0.png", "image_2": "Description/paired/34cfa4be-cd87-46be-8513-b5ac19ea8055_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong impulse noise artifacts, which manifest as numerous small, bright, and dark specks scattered throughout the image. Therefore, Image 1 has higher overall quality due to the absence of any visible distortions."}
{"id": "624f26cf-69fd-41c3-82cf-e3c7ee6476fc", "image_1": "Description/paired/624f26cf-69fd-41c3-82cf-e3c7ee6476fc_0.png", "image_2": "Description/paired/624f26cf-69fd-41c3-82cf-e3c7ee6476fc_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong impulse noise artifacts, which manifest as numerous small, bright and dark specks scattered across the image. Image 1 has higher overall quality because it is free from the impulse noise present in Image 2."}
{"id": "6d2fd2f2-357d-40a3-ab1a-c5e4ccd6e8de", "image_1": "Description/paired/6d2fd2f2-357d-40a3-ab1a-c5e4ccd6e8de_0.png", "image_2": "Description/paired/6d2fd2f2-357d-40a3-ab1a-c5e4ccd6e8de_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe impulse noise artifacts, appearing as numerous bright and dark specks scattered across the entire image, significantly degrading its visual clarity. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of noise and distortions, making it visually superior to Image 1."}
{"id": "216a3283-46d5-40c2-9015-093a0f3252f8", "image_1": "Description/paired/216a3283-46d5-40c2-9015-093a0f3252f8_0.png", "image_2": "Description/paired/216a3283-46d5-40c2-9015-093a0f3252f8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong impulse noise artifacts, which appear as random bright and dark pixels scattered throughout the image, significantly degrading its visual quality. Image 2 has no observable distortions and maintains a clear and consistent visual appearance. Therefore, Image 2 has higher overall quality due to its lack of noise and superior clarity."}
{"id": "0247283c-b70f-48d8-a842-bfe1b615c149", "image_1": "Description/paired/0247283c-b70f-48d8-a842-bfe1b615c149_0.png", "image_2": "Description/paired/0247283c-b70f-48d8-a842-bfe1b615c149_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate impulse noise artifacts, which appear as random specks or pixel disruptions scattered throughout the image, reducing its clarity. Image 2 has no observable distortions and maintains a clean, high-quality appearance. Therefore, Image 2 has higher overall quality due to the absence of noise and clearer visual details."}
{"id": "115c7600-7442-4725-9b12-2d3ef554679c", "image_1": "Description/paired/115c7600-7442-4725-9b12-2d3ef554679c_0.png", "image_2": "Description/paired/115c7600-7442-4725-9b12-2d3ef554679c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe impulse noise artifacts, appearing as random bright and dark speckles that obscure fine details and disrupt the visual coherence of the scene. Image 2 has no observable distortions and appears clean, with clear details and natural color transitions. Image 2 has higher overall quality because it is free of noise and preserves the scene's clarity and detail."}
{"id": "9eea64f7-4c03-458a-b4df-7ca6b52006f0", "image_1": "Description/paired/9eea64f7-4c03-458a-b4df-7ca6b52006f0_0.png", "image_2": "Description/paired/9eea64f7-4c03-458a-b4df-7ca6b52006f0_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains moderate impulse noise artifacts, which manifest as scattered white and black pixels disrupting the image's uniformity. Therefore, Image 1 has higher overall quality due to the absence of noise and distortions."}
{"id": "bc18cd4b-0413-44b7-ad99-0e9a6845ff64", "image_1": "Description/paired/bc18cd4b-0413-44b7-ad99-0e9a6845ff64_0.png", "image_2": "Description/paired/bc18cd4b-0413-44b7-ad99-0e9a6845ff64_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong impulse noise artifacts, which manifest as numerous small, bright specks scattered across the entire image. Therefore, Image 1 has higher overall quality due to the absence of any visible distortions compared to the noisy appearance of Image 2."}
{"id": "2027e449-0c13-45d6-93b9-2474dca035de", "image_1": "Description/paired/2027e449-0c13-45d6-93b9-2474dca035de_0.png", "image_2": "Description/paired/2027e449-0c13-45d6-93b9-2474dca035de_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong impulse noise artifacts, which appear as numerous white and black specks scattered across the image, significantly degrading its visual clarity. Image 2 has no observable distortions and maintains a clear and consistent visual quality. Therefore, Image 2 has higher overall quality due to its absence of noise and better visual clarity compared to Image 1."}
{"id": "1f0a58a7-0fff-49d2-b5f3-085c61193a33", "image_1": "Description/paired/1f0a58a7-0fff-49d2-b5f3-085c61193a33_0.png", "image_2": "Description/paired/1f0a58a7-0fff-49d2-b5f3-085c61193a33_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains moderate impulse noise artifacts, visible as random white and black specks scattered throughout the image. Image 1 has higher overall quality because it is free of any distortions, unlike Image 2 which is affected by impulse noise."}
{"id": "b4c3ac04-5e02-439c-8db9-51185ff28ee4", "image_1": "Description/paired/b4c3ac04-5e02-439c-8db9-51185ff28ee4_0.png", "image_2": "Description/paired/b4c3ac04-5e02-439c-8db9-51185ff28ee4_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe impulse noise artifacts, appearing as random specks and salt-and-pepper noise throughout the image, which significantly degrade its visual quality. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of noise and distortions."}
{"id": "7402352d-105a-49cc-87c8-d71496f88bed", "image_1": "Description/paired/7402352d-105a-49cc-87c8-d71496f88bed_0.png", "image_2": "Description/paired/7402352d-105a-49cc-87c8-d71496f88bed_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains moderate impulse noise artifacts, visible as numerous small white specks scattered throughout the image. Therefore, Image 1 has higher overall quality due to the absence of noise and distortions."}
{"id": "616f1f63-03c5-4baf-a59f-fb26d13cc729", "image_1": "Description/paired/616f1f63-03c5-4baf-a59f-fb26d13cc729_0.png", "image_2": "Description/paired/616f1f63-03c5-4baf-a59f-fb26d13cc729_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears clean and high-quality. Image 2 contains severe impulse noise artifacts, which manifest as numerous random specks and dots across the image. Image 1 has higher overall quality because it is free from any distortions, unlike Image 2 which is significantly affected by impulse noise."}
{"id": "0b65efc2-f124-4ee7-8f30-525ec2f66771", "image_1": "Description/paired/0b65efc2-f124-4ee7-8f30-525ec2f66771_0.png", "image_2": "Description/paired/0b65efc2-f124-4ee7-8f30-525ec2f66771_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate impulse noise artifacts, visible as scattered bright and dark pixel anomalies disrupting the natural texture of the scene. Image 2 shows no observable distortions and maintains a clean, smooth appearance with consistent textures. Therefore, Image 2 has higher overall quality due to its lack of noise and better preservation of scene details."}
{"id": "e349d733-beef-4cda-bb67-9eae98fb2c24", "image_1": "Description/paired/e349d733-beef-4cda-bb67-9eae98fb2c24_0.png", "image_2": "Description/paired/e349d733-beef-4cda-bb67-9eae98fb2c24_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate impulse noise artifacts, visible as numerous small white and black specks scattered throughout the image. Image 2 has no observable distortions and appears clear and free of any noise. Therefore, Image 2 has higher overall quality due to the absence of noise artifacts present in Image 1."}
{"id": "9d30916f-f643-4c91-ab8f-af30e3d656fe", "image_1": "Description/paired/9d30916f-f643-4c91-ab8f-af30e3d656fe_0.png", "image_2": "Description/paired/9d30916f-f643-4c91-ab8f-af30e3d656fe_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong impulse noise artifacts, appearing as numerous small, bright, and dark specks scattered across the entire image. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of any visible noise or artifacts."}
{"id": "7de3d3a0-167d-4cc9-98c2-8308824ca801", "image_1": "Description/paired/7de3d3a0-167d-4cc9-98c2-8308824ca801_0.png", "image_2": "Description/paired/7de3d3a0-167d-4cc9-98c2-8308824ca801_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate impulse noise artifacts, visible as numerous small, bright, and dark specks scattered across the image. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of noise artifacts present in Image 1."}
{"id": "958c1f15-c946-4478-9e2b-5e702fa74910", "image_1": "Description/paired/958c1f15-c946-4478-9e2b-5e702fa74910_0.png", "image_2": "Description/paired/958c1f15-c946-4478-9e2b-5e702fa74910_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate impulse noise artifacts, which appear as numerous small, bright, and dark specks scattered throughout the image. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of impulse noise artifacts present in Image 1."}
{"id": "ef290447-7a38-489d-a4e9-37ff6236075f", "image_1": "Description/paired/ef290447-7a38-489d-a4e9-37ff6236075f_0.png", "image_2": "Description/paired/ef290447-7a38-489d-a4e9-37ff6236075f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe impulse noise artifacts, appearing as numerous bright and dark specks scattered throughout the image. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of any visible noise or artifacts."}
{"id": "b21c78ba-33a1-4b03-be30-cd304afec33b", "image_1": "Description/paired/b21c78ba-33a1-4b03-be30-cd304afec33b_0.png", "image_2": "Description/paired/b21c78ba-33a1-4b03-be30-cd304afec33b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate impulse noise artifacts, visible as numerous small, bright specks scattered throughout the image. Image 1 has higher overall quality because it lacks the impulse noise present in Image 2."}
{"id": "f53a6223-07d7-4a60-b4ad-555f8284fb23", "image_1": "Description/paired/f53a6223-07d7-4a60-b4ad-555f8284fb23_0.png", "image_2": "Description/paired/f53a6223-07d7-4a60-b4ad-555f8284fb23_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe impulse noise artifacts, which manifest as numerous white and black specks scattered throughout the image. Therefore, Image 1 has higher overall quality due to the absence of any distortions compared to the heavily noise-affected Image 2."}
{"id": "e41d1c7a-a1ae-45d7-8457-e702b375c0fe", "image_1": "Description/paired/e41d1c7a-a1ae-45d7-8457-e702b375c0fe_0.png", "image_2": "Description/paired/e41d1c7a-a1ae-45d7-8457-e702b375c0fe_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe impulse noise artifacts, which manifest as numerous bright and dark specks scattered across the image, significantly degrading its visual quality. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "86b34a91-cbdd-44cf-aa2a-76219300633d", "image_1": "Description/paired/86b34a91-cbdd-44cf-aa2a-76219300633d_0.png", "image_2": "Description/paired/86b34a91-cbdd-44cf-aa2a-76219300633d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong impulse noise artifacts, which manifest as numerous bright and dark specks scattered throughout the image. Therefore, Image 1 has higher overall quality because it is free from the impulse noise present in Image 2."}
{"id": "4656486a-7793-4051-9ec9-6e16ef63f0a3", "image_1": "Description/paired/4656486a-7793-4051-9ec9-6e16ef63f0a3_0.png", "image_2": "Description/paired/4656486a-7793-4051-9ec9-6e16ef63f0a3_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong impulse noise artifacts, which manifest as numerous small, bright specks scattered across the image. Therefore, Image 1 has higher overall quality due to the absence of any visible distortions."}
{"id": "ea8bbb36-3364-49e6-afe9-ebb34641a974", "image_1": "Description/paired/ea8bbb36-3364-49e6-afe9-ebb34641a974_0.png", "image_2": "Description/paired/ea8bbb36-3364-49e6-afe9-ebb34641a974_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe impulse noise artifacts, characterized by numerous white and colored specks scattered throughout the image, which significantly degrade its visual quality. Image 2 shows no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of any visible noise or artifacts."}
{"id": "e0d6c17c-9dff-46d0-9652-b89a19b95fa0", "image_1": "Description/paired/e0d6c17c-9dff-46d0-9652-b89a19b95fa0_0.png", "image_2": "Description/paired/e0d6c17c-9dff-46d0-9652-b89a19b95fa0_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe impulse noise artifacts, characterized by numerous bright and dark specks scattered throughout the image. Image 1 has higher overall quality because it is free from the impulse noise that significantly degrades the visual clarity of Image 2."}
{"id": "62aacb2e-5cb6-4478-97ec-b030e796445f", "image_1": "Description/paired/62aacb2e-5cb6-4478-97ec-b030e796445f_0.png", "image_2": "Description/paired/62aacb2e-5cb6-4478-97ec-b030e796445f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong impulse noise artifacts, which appear as numerous small black and white specks scattered throughout the image. Image 1 has higher overall quality because it is free from the impulse noise present in Image 2."}
{"id": "13022ca6-2bd5-4492-89ee-cd19cbffa7b8", "image_1": "Description/paired/13022ca6-2bd5-4492-89ee-cd19cbffa7b8_0.png", "image_2": "Description/paired/13022ca6-2bd5-4492-89ee-cd19cbffa7b8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe impulse noise artifacts, appearing as numerous white and black specks scattered throughout the image. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of any visible noise or artifacts."}
{"id": "792e0b14-c1d4-46a1-aa51-a90d4fc55a28", "image_1": "Description/paired/792e0b14-c1d4-46a1-aa51-a90d4fc55a28_0.png", "image_2": "Description/paired/792e0b14-c1d4-46a1-aa51-a90d4fc55a28_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong impulse noise artifacts, which manifest as numerous small, bright specks scattered across the image. Therefore, Image 1 has higher overall quality due to the absence of any visible distortions."}
{"id": "94f1ffb5-201e-4a5e-8987-8f299ae85508", "image_1": "Description/paired/94f1ffb5-201e-4a5e-8987-8f299ae85508_0.png", "image_2": "Description/paired/94f1ffb5-201e-4a5e-8987-8f299ae85508_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality. Image 2 contains severe spatially correlated noise, visible as grainy patterns and uneven texture that degrade the image's clarity. Image 1 has higher overall quality because it is free from the noise artifacts present in Image 2."}
{"id": "ca4d4601-3f7e-44bc-b550-0b5f57070f89", "image_1": "Description/paired/ca4d4601-3f7e-44bc-b550-0b5f57070f89_0.png", "image_2": "Description/paired/ca4d4601-3f7e-44bc-b550-0b5f57070f89_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains moderate spatially correlated noise artifacts, which manifest as a grainy texture and reduced clarity in the image details. Therefore, Image 1 has higher overall quality due to its absence of noise and clearer visual presentation."}
{"id": "eb99bffb-e2c7-4faa-b22f-de17ea73ead9", "image_1": "Description/paired/eb99bffb-e2c7-4faa-b22f-de17ea73ead9_0.png", "image_2": "Description/paired/eb99bffb-e2c7-4faa-b22f-de17ea73ead9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong spatially correlated noise artifacts, appearing as grainy and pixelated distortions that obscure finer details. Image 2 has no observable distortions and presents a clear, high-quality visual representation. Therefore, Image 2 has higher overall quality due to its lack of noise and superior clarity."}
{"id": "d5280438-1e9c-4ffe-8503-af3f0ae936dd", "image_1": "Description/paired/d5280438-1e9c-4ffe-8503-af3f0ae936dd_0.png", "image_2": "Description/paired/d5280438-1e9c-4ffe-8503-af3f0ae936dd_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe spatially correlated noise, appearing as grainy, multicolored artifacts that obscure fine details and reduce clarity. Image 2 shows no observable distortions, maintaining sharpness and clear detail throughout. Image 2 has higher overall quality due to its lack of noise and superior visual clarity compared to the heavily degraded Image 1."}
{"id": "de47a37f-f8da-4bb6-b618-4796cdd404c5", "image_1": "Description/paired/de47a37f-f8da-4bb6-b618-4796cdd404c5_0.png", "image_2": "Description/paired/de47a37f-f8da-4bb6-b618-4796cdd404c5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe spatially correlated noise artifacts, appearing as a grainy texture that obscures fine details and reduces overall clarity. Image 2 shows no observable distortions and maintains clear, detailed visuals throughout. Therefore, Image 2 has higher overall quality due to its lack of noise and superior clarity."}
{"id": "3440e968-90c7-4dbc-be62-a972c8913978", "image_1": "Description/paired/3440e968-90c7-4dbc-be62-a972c8913978_0.png", "image_2": "Description/paired/3440e968-90c7-4dbc-be62-a972c8913978_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains moderate spatially correlated noise artifacts, which manifest as graininess and reduced clarity across the image. Image 1 has higher overall quality due to its lack of distortions and superior visual clarity compared to Image 2."}
{"id": "6dbfaaf7-708a-4c4b-a962-270aa8ea6465", "image_1": "Description/paired/6dbfaaf7-708a-4c4b-a962-270aa8ea6465_0.png", "image_2": "Description/paired/6dbfaaf7-708a-4c4b-a962-270aa8ea6465_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality. Image 2 exhibits strong spatially correlated noise artifacts, visible as grainy patterns and uneven pixel intensities across the image. Image 1 has higher overall quality because it is free of distortions, while Image 2 is significantly degraded by noise."}
{"id": "94ef6d7c-f01a-4e79-a05b-17ba6516d96c", "image_1": "Description/paired/94ef6d7c-f01a-4e79-a05b-17ba6516d96c_0.png", "image_2": "Description/paired/94ef6d7c-f01a-4e79-a05b-17ba6516d96c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and sharp with well-defined details. Image 2 contains strong spatially correlated noise, visible as grainy patterns and a significant loss of clarity and detail throughout the image. Image 1 has higher overall quality because it is free of distortions and retains better visual clarity compared to the noisy and degraded Image 2."}
{"id": "3b351687-d345-4a30-9974-f57ef302db22", "image_1": "Description/paired/3b351687-d345-4a30-9974-f57ef302db22_0.png", "image_2": "Description/paired/3b351687-d345-4a30-9974-f57ef302db22_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe spatially correlated noise, appearing as grainy and blotchy patterns that obscure fine details and reduce clarity. Image 2 shows no observable distortions and maintains a clean, sharp appearance with well-preserved details. Image 2 has higher overall quality due to its lack of distortions and superior visual clarity compared to the noisy Image 1."}
{"id": "b0e07f14-cdbb-49eb-b9de-ef8492bf7460", "image_1": "Description/paired/b0e07f14-cdbb-49eb-b9de-ef8492bf7460_0.png", "image_2": "Description/paired/b0e07f14-cdbb-49eb-b9de-ef8492bf7460_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate spatially correlated noise artifacts, which manifest as a grainy texture and reduced clarity in the finer details of the terrain and structures. Image 2 shows no observable distortions and maintains clear and sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of noise and superior clarity."}
{"id": "f28afcab-a135-4d6f-9ca7-293716515ed2", "image_1": "Description/paired/f28afcab-a135-4d6f-9ca7-293716515ed2_0.png", "image_2": "Description/paired/f28afcab-a135-4d6f-9ca7-293716515ed2_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe spatially correlated noise artifacts, appearing as a dense, multicolored graininess that obscures details and reduces clarity. Image 2 has no observable distortions and maintains clear, high-quality visual information. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity."}
{"id": "e2e9a170-cb36-4193-8fb5-d084fb210a19", "image_1": "Description/paired/e2e9a170-cb36-4193-8fb5-d084fb210a19_0.png", "image_2": "Description/paired/e2e9a170-cb36-4193-8fb5-d084fb210a19_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate spatially correlated noise artifacts, appearing as grainy and uneven textures that obscure finer details in the scene. Image 2 shows no observable distortions and maintains a clean, smooth appearance with well-preserved details. Image 2 has higher overall quality due to its lack of noise and superior clarity compared to the noisy Image 1."}
{"id": "ace4fb73-b117-4323-b231-88dd976ce017", "image_1": "Description/paired/ace4fb73-b117-4323-b231-88dd976ce017_0.png", "image_2": "Description/paired/ace4fb73-b117-4323-b231-88dd976ce017_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate spatially correlated noise artifacts, appearing as grainy and uneven patches across the image. Image 2 shows no observable distortions and appears clean and sharp. Therefore, Image 2 has higher overall quality due to its clarity and lack of noise artifacts."}
{"id": "e7089279-69d9-40f0-a5e1-d93646f492b1", "image_1": "Description/paired/e7089279-69d9-40f0-a5e1-d93646f492b1_0.png", "image_2": "Description/paired/e7089279-69d9-40f0-a5e1-d93646f492b1_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains strong spatially correlated noise artifacts, which manifest as a grainy texture and reduced clarity. Therefore, Image 1 has higher overall quality due to its lack of noise and clearer visual representation."}
{"id": "4bd73fd5-e074-4d2c-8dce-28f0540289f1", "image_1": "Description/paired/4bd73fd5-e074-4d2c-8dce-28f0540289f1_0.png", "image_2": "Description/paired/4bd73fd5-e074-4d2c-8dce-28f0540289f1_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains moderate spatially correlated noise artifacts, which manifest as grainy and uneven textures across the image. Therefore, Image 1 has higher overall quality due to its lack of visible distortions compared to the noisy appearance of Image 2."}
{"id": "d6af176c-e445-4a3b-b3b9-9b1b5ad942e7", "image_1": "Description/paired/d6af176c-e445-4a3b-b3b9-9b1b5ad942e7_0.png", "image_2": "Description/paired/d6af176c-e445-4a3b-b3b9-9b1b5ad942e7_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate spatially correlated noise artifacts, which manifest as a hazy overlay that reduces the clarity and detail of the terrain. Therefore, Image 1 has higher overall quality due to the absence of distortions and clearer visual detail."}
{"id": "a90f08c8-f2af-4190-be0f-6cd587654ec8", "image_1": "Description/paired/a90f08c8-f2af-4190-be0f-6cd587654ec8_0.png", "image_2": "Description/paired/a90f08c8-f2af-4190-be0f-6cd587654ec8_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong spatially correlated noise artifacts, which appear as grainy and speckled patterns disrupting the natural texture of the landscape. Image 2 shows no observable distortions and maintains a clear and detailed representation of the terrain. Therefore, Image 2 has higher overall quality due to the absence of noise and better visual clarity."}
{"id": "618f03b4-3d4e-42ee-8d82-e3301cfc7c90", "image_1": "Description/paired/618f03b4-3d4e-42ee-8d82-e3301cfc7c90_0.png", "image_2": "Description/paired/618f03b4-3d4e-42ee-8d82-e3301cfc7c90_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate spatially correlated noise artifacts, which manifest as grainy and uneven textures across the image, reducing the clarity of the landscape features. Image 2 shows no observable distortions and maintains a clear and detailed representation of the terrain. Therefore, Image 2 has higher overall quality due to its absence of noise and superior visual clarity."}
{"id": "e7ec0179-f1b5-43f5-adda-7aabc099b49d", "image_1": "Description/paired/e7ec0179-f1b5-43f5-adda-7aabc099b49d_0.png", "image_2": "Description/paired/e7ec0179-f1b5-43f5-adda-7aabc099b49d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits moderate spatially correlated noise artifacts, which manifest as grainy and uneven textures across the image, reducing its clarity. Image 2 shows no observable distortions and maintains a clear and consistent visual quality throughout. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior clarity compared to Image 1."}
{"id": "a12cf429-e125-40a2-bcee-cdfed9ff9cf5", "image_1": "Description/paired/a12cf429-e125-40a2-bcee-cdfed9ff9cf5_0.png", "image_2": "Description/paired/a12cf429-e125-40a2-bcee-cdfed9ff9cf5_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe spatially correlated noise artifacts, appearing as a grainy texture that significantly degrades the visual quality. Image 2 shows no observable distortions and appears clean and clear. Image 2 has higher overall quality because it lacks the noise artifacts present in Image 1."}
{"id": "acff7f1e-e740-444d-8b2e-3e4acd9d3890", "image_1": "Description/paired/acff7f1e-e740-444d-8b2e-3e4acd9d3890_0.png", "image_2": "Description/paired/acff7f1e-e740-444d-8b2e-3e4acd9d3890_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe spatially correlated noise artifacts, which manifest as a grainy texture and irregular patterns disrupting the image clarity. Therefore, Image 1 has higher overall quality due to the absence of distortions and clearer visual representation."}
{"id": "36476f2c-dfbd-4954-95af-23d5a5c2482d", "image_1": "Description/paired/36476f2c-dfbd-4954-95af-23d5a5c2482d_0.png", "image_2": "Description/paired/36476f2c-dfbd-4954-95af-23d5a5c2482d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe spatially correlated noise artifacts, which manifest as random speckles and graininess throughout the image. Therefore, Image 1 has higher overall quality due to the absence of distortions and clearer visual presentation."}
{"id": "44c7908b-8813-4fd8-9128-80b7d5d8ef19", "image_1": "Description/paired/44c7908b-8813-4fd8-9128-80b7d5d8ef19_0.png", "image_2": "Description/paired/44c7908b-8813-4fd8-9128-80b7d5d8ef19_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate spatially correlated noise artifacts, which manifest as graininess and a speckled texture across the image. Therefore, Image 1 has higher overall quality due to the absence of distortions and a clearer visual presentation."}
{"id": "349560e3-dcfd-442e-a78c-352c3fdbd5f2", "image_1": "Description/paired/349560e3-dcfd-442e-a78c-352c3fdbd5f2_0.png", "image_2": "Description/paired/349560e3-dcfd-442e-a78c-352c3fdbd5f2_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and sharp. Image 2 contains strong spatially correlated noise artifacts, which manifest as a significant reduction in image clarity and detail, making the features appear blurred and pixelated. Therefore, Image 1 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "93b5e543-90c5-40fe-833e-14f90c204582", "image_1": "Description/paired/93b5e543-90c5-40fe-833e-14f90c204582_0.png", "image_2": "Description/paired/93b5e543-90c5-40fe-833e-14f90c204582_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong spatially correlated noise artifacts, which manifest as a grainy texture and significantly reduce the image's clarity. Therefore, Image 1 has higher overall quality due to the absence of distortions and better visual clarity."}
{"id": "5ca7f7de-216f-4ce3-98af-64e80c685f2e", "image_1": "Description/paired/5ca7f7de-216f-4ce3-98af-64e80c685f2e_0.png", "image_2": "Description/paired/5ca7f7de-216f-4ce3-98af-64e80c685f2e_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe spatially correlated noise artifacts, appearing as a grainy texture that significantly degrades the visual clarity of the terrain. Image 2 shows no observable distortions and maintains a clear, smooth depiction of the landscape. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "ad3e50f0-c903-436d-8edb-80c2fb848723", "image_1": "Description/paired/ad3e50f0-c903-436d-8edb-80c2fb848723_0.png", "image_2": "Description/paired/ad3e50f0-c903-436d-8edb-80c2fb848723_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains severe spatially correlated noise artifacts, which manifest as a grainy texture and colored speckles throughout the image. Image 1 has higher overall quality because it is free from the noise and artifacts present in Image 2."}
{"id": "45c3498a-b123-4697-9d1e-f242d5aa7868", "image_1": "Description/paired/45c3498a-b123-4697-9d1e-f242d5aa7868_0.png", "image_2": "Description/paired/45c3498a-b123-4697-9d1e-f242d5aa7868_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong spatially correlated noise artifacts, appearing as grainy and irregular patterns that obscure finer details. Image 2 shows no observable distortions and maintains clear, sharp details throughout. Therefore, Image 2 has higher overall quality due to its lack of noise and superior clarity."}
{"id": "59313f75-50e6-4cea-b252-cc6c6db4b215", "image_1": "Description/paired/59313f75-50e6-4cea-b252-cc6c6db4b215_0.png", "image_2": "Description/paired/59313f75-50e6-4cea-b252-cc6c6db4b215_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe spatially correlated noise artifacts, which manifest as a grainy texture and reduced clarity throughout the image. Image 2 shows no observable distortions and maintains clear, sharp details. Therefore, Image 2 has higher overall quality due to its lack of distortions and superior visual clarity."}
{"id": "ab142817-cd8c-49c0-b7f1-b44bd5d0cf0d", "image_1": "Description/paired/ab142817-cd8c-49c0-b7f1-b44bd5d0cf0d_0.png", "image_2": "Description/paired/ab142817-cd8c-49c0-b7f1-b44bd5d0cf0d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong spatially correlated noise artifacts, appearing as grainy and speckled patterns that obscure fine details. Image 2 shows no observable distortions and maintains clear and detailed visual quality. Therefore, Image 2 has higher overall quality due to its lack of distortions and clearer representation of the scene."}
{"id": "7a9a18cb-4e19-4020-a607-a572e5441d71", "image_1": "Description/paired/7a9a18cb-4e19-4020-a607-a572e5441d71_0.png", "image_2": "Description/paired/7a9a18cb-4e19-4020-a607-a572e5441d71_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong stripe noise artifacts that manifest as horizontal lines across the image, degrading its visual clarity. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the noticeable stripe noise in Image 2."}
{"id": "4afba74b-ffa8-4b50-9abe-95cd2803183a", "image_1": "Description/paired/4afba74b-ffa8-4b50-9abe-95cd2803183a_0.png", "image_2": "Description/paired/4afba74b-ffa8-4b50-9abe-95cd2803183a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe stripe noise artifacts, appearing as horizontal lines and color distortions that degrade the visual clarity of the scene. Image 2 has no observable distortions and appears clean and well-defined. Image 2 has higher overall quality due to its lack of noise and superior visual clarity compared to the heavily degraded Image 1."}
{"id": "64d83738-a33c-497b-8dc0-0460334bba8a", "image_1": "Description/paired/64d83738-a33c-497b-8dc0-0460334bba8a_0.png", "image_2": "Description/paired/64d83738-a33c-497b-8dc0-0460334bba8a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong stripe noise artifacts that appear as vertical lines running across the entire image, significantly degrading its visual quality. Image 2 has no observable distortions and appears clean and clear. Therefore, Image 2 has higher overall quality due to the absence of noise and distortions present in Image 1."}
{"id": "838c7762-9e8a-4751-b24a-cf7d68caa1a6", "image_1": "Description/paired/838c7762-9e8a-4751-b24a-cf7d68caa1a6_0.png", "image_2": "Description/paired/838c7762-9e8a-4751-b24a-cf7d68caa1a6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong stripe noise artifacts that appear as vertical lines across the entire image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "ecfd83e5-93bf-4921-b989-f06af57566dd", "image_1": "Description/paired/ecfd83e5-93bf-4921-b989-f06af57566dd_0.png", "image_2": "Description/paired/ecfd83e5-93bf-4921-b989-f06af57566dd_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears visually clean and high-quality. Image 2 contains severe stripe noise artifacts, which manifest as numerous horizontal lines and a grainy texture across the entire image. Image 1 has higher overall quality because it lacks the stripe noise and graininess present in Image 2."}
{"id": "f7026b5c-2775-4b2a-8c8e-64c201644cc3", "image_1": "Description/paired/f7026b5c-2775-4b2a-8c8e-64c201644cc3_0.png", "image_2": "Description/paired/f7026b5c-2775-4b2a-8c8e-64c201644cc3_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong stripe noise artifacts, visible as horizontal lines of varying colors that disrupt the visual clarity of the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any distortions."}
{"id": "1c1ad654-197b-4a42-ac41-be2cfe550d33", "image_1": "Description/paired/1c1ad654-197b-4a42-ac41-be2cfe550d33_0.png", "image_2": "Description/paired/1c1ad654-197b-4a42-ac41-be2cfe550d33_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong stripe noise artifacts, which manifest as horizontal lines and a grainy texture that significantly degrade the image quality. Therefore, Image 1 has higher overall quality due to its lack of distortions compared to the noisy and artifact-laden Image 2."}
{"id": "e763072b-088d-4ad7-9664-c190c076d401", "image_1": "Description/paired/e763072b-088d-4ad7-9664-c190c076d401_0.png", "image_2": "Description/paired/e763072b-088d-4ad7-9664-c190c076d401_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 shows no observable distortions and appears clean and high-quality. Image 2 contains severe stripe noise artifacts that manifest as horizontal lines and a grainy texture, significantly degrading the visual clarity. Image 1 has higher overall quality because it is free of distortions, unlike Image 2, which is heavily affected by stripe noise."}
{"id": "964adfaf-9c53-42d8-aa20-0bdd0645631d", "image_1": "Description/paired/964adfaf-9c53-42d8-aa20-0bdd0645631d_0.png", "image_2": "Description/paired/964adfaf-9c53-42d8-aa20-0bdd0645631d_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong stripe noise artifacts, which appear as horizontal lines of varying colors and intensities across the entire image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible distortions."}
{"id": "8dd0ba80-b9e4-4715-a559-1c751c0ff8ee", "image_1": "Description/paired/8dd0ba80-b9e4-4715-a559-1c751c0ff8ee_0.png", "image_2": "Description/paired/8dd0ba80-b9e4-4715-a559-1c751c0ff8ee_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe stripe noise artifacts, characterized by vertical lines that disrupt the visual coherence of the image. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any distortions compared to the heavily striped Image 1."}
{"id": "851bf5d6-b7b1-4e94-ac06-4662f2a33aff", "image_1": "Description/paired/851bf5d6-b7b1-4e94-ac06-4662f2a33aff_0.png", "image_2": "Description/paired/851bf5d6-b7b1-4e94-ac06-4662f2a33aff_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits severe stripe noise artifacts, characterized by horizontal lines that disrupt the clarity and continuity of the image. Image 2 shows no observable distortions and maintains a clear and detailed visual representation. Therefore, Image 2 has higher overall quality due to its absence of noise and superior clarity."}
{"id": "a2c106d9-9821-440d-be8c-89175d3c0e7a", "image_1": "Description/paired/a2c106d9-9821-440d-be8c-89175d3c0e7a_0.png", "image_2": "Description/paired/a2c106d9-9821-440d-be8c-89175d3c0e7a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate stripe noise artifacts that appear as vertical lines running through the entire image, disrupting the visual consistency. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "79822fb4-d4a9-418b-b57b-3afc9ba97944", "image_1": "Description/paired/79822fb4-d4a9-418b-b57b-3afc9ba97944_0.png", "image_2": "Description/paired/79822fb4-d4a9-418b-b57b-3afc9ba97944_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong stripe noise artifacts that manifest as horizontal lines disrupting the image clarity. Image 1 has higher overall quality due to the absence of any distortions compared to the visible stripe noise in Image 2."}
{"id": "50b23055-9ec1-4c14-b057-8e121c4c3b03", "image_1": "Description/paired/50b23055-9ec1-4c14-b057-8e121c4c3b03_0.png", "image_2": "Description/paired/50b23055-9ec1-4c14-b057-8e121c4c3b03_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains severe stripe noise artifacts, appearing as repetitive horizontal bands that disrupt the visual coherence of the image. Image 2 shows no observable distortions and appears clean and free of artifacts. Image 2 has higher overall quality because it is free of the stripe noise that significantly degrades Image 1."}
{"id": "87f0a67d-e818-47de-8123-c3d9a758234a", "image_1": "Description/paired/87f0a67d-e818-47de-8123-c3d9a758234a_0.png", "image_2": "Description/paired/87f0a67d-e818-47de-8123-c3d9a758234a_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe stripe noise artifacts, which manifest as horizontal lines and a grainy texture that obscure the details of the terrain. Therefore, Image 1 has higher overall quality due to its lack of distortions and clearer visual presentation."}
{"id": "efe0a893-4fce-4e83-b2e3-8e6c0246b869", "image_1": "Description/paired/efe0a893-4fce-4e83-b2e3-8e6c0246b869_0.png", "image_2": "Description/paired/efe0a893-4fce-4e83-b2e3-8e6c0246b869_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate stripe noise artifacts that appear as vertical lines running through the image, disrupting the visual continuity. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "ba32da2e-3e0d-435a-89d8-f4b79a5c7173", "image_1": "Description/paired/ba32da2e-3e0d-435a-89d8-f4b79a5c7173_0.png", "image_2": "Description/paired/ba32da2e-3e0d-435a-89d8-f4b79a5c7173_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains moderate stripe noise artifacts, visible as horizontal lines of varying colors that disrupt the visual continuity of the terrain. Image 2 has no observable distortions and presents a clear and undisturbed view of the landscape. Image 2 has higher overall quality due to the absence of any noise artifacts, providing a cleaner and more accurate representation of the area."}
{"id": "f0a958b4-1ea9-489f-a8f4-29f6f07b21e6", "image_1": "Description/paired/f0a958b4-1ea9-489f-a8f4-29f6f07b21e6_0.png", "image_2": "Description/paired/f0a958b4-1ea9-489f-a8f4-29f6f07b21e6_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains strong stripe noise artifacts that manifest as horizontal lines of varying colors across the entire image. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the heavily striped Image 2."}
{"id": "53a219cb-2f16-4b34-891a-e7f6073f67d9", "image_1": "Description/paired/53a219cb-2f16-4b34-891a-e7f6073f67d9_0.png", "image_2": "Description/paired/53a219cb-2f16-4b34-891a-e7f6073f67d9_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and high-quality. Image 2 contains moderate stripe noise artifacts that manifest as horizontal lines across the image, disrupting the visual clarity. Image 1 has higher overall quality because it is free from the stripe noise artifacts present in Image 2."}
{"id": "fd481503-b0ab-4f56-9218-dd36b0ede25c", "image_1": "Description/paired/fd481503-b0ab-4f56-9218-dd36b0ede25c_0.png", "image_2": "Description/paired/fd481503-b0ab-4f56-9218-dd36b0ede25c_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains moderate stripe noise artifacts, which manifest as horizontal lines running across the image, disrupting its uniformity. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "a3ec91b3-4603-4f04-bf47-c25648e357cc", "image_1": "Description/paired/a3ec91b3-4603-4f04-bf47-c25648e357cc_0.png", "image_2": "Description/paired/a3ec91b3-4603-4f04-bf47-c25648e357cc_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe stripe noise artifacts, which manifest as horizontal lines and a grainy texture across the entire image. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "ffbc951a-1adb-44a7-9eb6-862109e9b18f", "image_1": "Description/paired/ffbc951a-1adb-44a7-9eb6-862109e9b18f_0.png", "image_2": "Description/paired/ffbc951a-1adb-44a7-9eb6-862109e9b18f_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe stripe noise artifacts, which manifest as horizontal lines and color distortions across the entire image. Image 1 has higher overall quality because it is free from the stripe noise artifacts present in Image 2."}
{"id": "b18a22b0-c913-48d3-8b43-85ed55f9ba35", "image_1": "Description/paired/b18a22b0-c913-48d3-8b43-85ed55f9ba35_0.png", "image_2": "Description/paired/b18a22b0-c913-48d3-8b43-85ed55f9ba35_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe stripe noise artifacts, which manifest as vertical lines of varying colors across the entire image, significantly degrading its quality. Therefore, Image 1 has higher overall quality due to the absence of any distortions."}
{"id": "05a4361d-eaba-49d2-a4df-698a512dfa61", "image_1": "Description/paired/05a4361d-eaba-49d2-a4df-698a512dfa61_0.png", "image_2": "Description/paired/05a4361d-eaba-49d2-a4df-698a512dfa61_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong stripe noise artifacts, characterized by vertical lines of varying colors that disrupt the visual continuity of the scene. Image 2 shows no observable distortions and presents a clear and consistent depiction of the terrain. Therefore, Image 2 has higher overall quality due to the absence of any visible artifacts."}
{"id": "bacf8ad8-1826-4a8a-9e6a-2acbbe759be3", "image_1": "Description/paired/bacf8ad8-1826-4a8a-9e6a-2acbbe759be3_0.png", "image_2": "Description/paired/bacf8ad8-1826-4a8a-9e6a-2acbbe759be3_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 contains strong stripe noise artifacts that appear as horizontal lines across the entire image, significantly degrading its visual quality. Image 2 has no observable distortions and appears clean and high-quality. Therefore, Image 2 has higher overall quality due to the absence of any visible distortions."}
{"id": "cad1f7e7-9287-4292-b1ee-1f6d26527158", "image_1": "Description/paired/cad1f7e7-9287-4292-b1ee-1f6d26527158_0.png", "image_2": "Description/paired/cad1f7e7-9287-4292-b1ee-1f6d26527158_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe stripe noise artifacts that manifest as horizontal lines across the image, significantly degrading its visual quality. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the heavily striped Image 2."}
{"id": "fad40728-e1f3-4575-b701-52cd6fa668df", "image_1": "Description/paired/fad40728-e1f3-4575-b701-52cd6fa668df_0.png", "image_2": "Description/paired/fad40728-e1f3-4575-b701-52cd6fa668df_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe stripe noise artifacts, which manifest as horizontal lines and speckles across the entire image, significantly degrading its visual quality. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the heavily noise-affected Image 2."}
{"id": "b8ec8f31-517b-4160-970b-8bd751905abd", "image_1": "Description/paired/b8ec8f31-517b-4160-970b-8bd751905abd_0.png", "image_2": "Description/paired/b8ec8f31-517b-4160-970b-8bd751905abd_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 exhibits strong stripe noise artifacts, which appear as horizontal lines disrupting the visual continuity of the terrain. Image 2 shows no observable distortions and maintains a clear and consistent visual quality. Therefore, Image 2 has higher overall quality due to the absence of distortions and the presence of clear, undisturbed details."}
{"id": "42bd9977-efa9-4827-a241-ba67b114e93b", "image_1": "Description/paired/42bd9977-efa9-4827-a241-ba67b114e93b_0.png", "image_2": "Description/paired/42bd9977-efa9-4827-a241-ba67b114e93b_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains severe stripe noise artifacts that manifest as vertical lines of varying colors, significantly degrading the image quality. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the heavily striped Image 2."}
{"id": "83c3fcbb-debf-4886-b93b-586d20fa0bff", "image_1": "Description/paired/83c3fcbb-debf-4886-b93b-586d20fa0bff_0.png", "image_2": "Description/paired/83c3fcbb-debf-4886-b93b-586d20fa0bff_1.png", "question": "You will see two remote sensing images labeled Image 1 and Image 2. Respond with a single paragraph containing exactly three concise sentences. Sentence one must describe the observable distortions in Image 1 and how they appear visually (state if none). Sentence two must describe the observable distortions in Image 2 and how they appear visually (state if none). Sentence three must determine which image has higher overall quality (or if they are equal) and briefly explain the reason.", "answer": "Image 1 has no observable distortions and appears visually clean and clear. Image 2 contains strong stripe noise artifacts that manifest as horizontal lines across the image, degrading its visual quality. Therefore, Image 1 has higher overall quality due to the absence of distortions compared to the noticeable stripe noise in Image 2."}
{"id": "61f51f35-4d17-4707-af3f-5c77b6db305a", "image_1": "Description/single/61f51f35-4d17-4707-af3f-5c77b6db305a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate gaussian blur softens the edges of buildings and roads, making structural details less distinct. The blurring reduces interpretability by obscuring fine textures and diminishing clarity in densely packed urban areas. The image quality is moderately degraded, affecting its usefulness for detailed analysis."}
{"id": "5ead5e4a-c9d4-41a0-9841-27382c7eb472", "image_1": "Description/single/5ead5e4a-c9d4-41a0-9841-27382c7eb472_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes a significant loss of detail, making terrain features appear overly smooth and indistinct. Key textures and boundaries, such as ridges and water channels, are heavily obscured, reducing the ability to interpret landforms accurately. The image quality is poor due to the extreme degradation of spatial clarity and definition."}
{"id": "523a2749-f2aa-40cd-b72e-eb2cf170973d", "image_1": "Description/single/523a2749-f2aa-40cd-b72e-eb2cf170973d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The moderate gaussian blur softens the edges of buildings and roads, making structural details appear less distinct. The blurring reduces interpretability by obscuring fine textures in vegetation and diminishing the clarity of urban layouts. The overall image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "b3ca708b-2169-4c19-85f7-e2888ef8f62e", "image_1": "Description/single/b3ca708b-2169-4c19-85f7-e2888ef8f62e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate gaussian blur softens the edges of farmland boundaries and vegetation, creating a smoother appearance and reducing visual sharpness.  \nThe blurring diminishes the clarity of fine details, such as small structures and narrow pathways, making it harder to distinguish specific features.  \nThe image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "ee5215c6-f56b-406b-8e16-db7ec0ea145a", "image_1": "Description/single/ee5215c6-f56b-406b-8e16-db7ec0ea145a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate gaussian blur softens the edges of natural features, such as riverbanks and forest boundaries, creating a hazy appearance. The blurring reduces the clarity of fine details, making roads and vegetation patterns harder to distinguish and interpret. The overall image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "1d6fe4e4-8a68-4a3f-af8c-0dbf8fd62bad", "image_1": "Description/single/1d6fe4e4-8a68-4a3f-af8c-0dbf8fd62bad_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes a significant loss of detail, making the boundaries between different land cover types indistinct and the textures appear smooth and undefined. The lack of sharpness obscures critical features such as vegetation patterns and field structures, reducing the image's interpretability for analysis. The image quality is poor due to the heavy distortion and diminished clarity."}
{"id": "ad88debf-0c64-45d4-8118-f62cf0953852", "image_1": "Description/single/ad88debf-0c64-45d4-8118-f62cf0953852_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes significant softening of edges, making features like roads and buildings indistinct and blending terrain details into a uniform haze. The loss of sharpness obscures critical textures, such as vegetation patterns and land divisions, reducing the ability to interpret spatial relationships and land use. The image quality is poor, with diminished clarity and analytical utility."}
{"id": "fb5a787d-2264-4c1e-a28f-8874bae7f307", "image_1": "Description/single/fb5a787d-2264-4c1e-a28f-8874bae7f307_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes significant softness in the edges of buildings and parking lot markings, making the structures appear indistinct. The distortion obscures fine details such as individual parking lines and road features, reducing the clarity needed for accurate interpretation. The image quality is poor due to the heavy loss of sharpness and detail."}
{"id": "16652d62-7bd1-432f-a0e8-36ff8fbab0d4", "image_1": "Description/single/16652d62-7bd1-432f-a0e8-36ff8fbab0d4_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian blur significantly softens the edges of features, making boundaries between farmland, water bodies, and vegetation indistinct. The loss of fine details obscures textures and patterns, such as the structure of vegetation and the clarity of small roads or field divisions. The image quality is poor, with reduced interpretability for detailed analysis."}
{"id": "4e64935d-7ca7-41dd-8c65-b4071e01da61", "image_1": "Description/single/4e64935d-7ca7-41dd-8c65-b4071e01da61_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes the image to appear heavily smoothed, obscuring fine details and creating a uniform, hazy texture across the landscape. Vegetation patterns and terrain features are indistinct, making it difficult to discern boundaries or identify specific landforms. The image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "4eec202b-bf7a-40aa-b6f5-b00fe51ac28d", "image_1": "Description/single/4eec202b-bf7a-40aa-b6f5-b00fe51ac28d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes significant softening of edges, making buildings, roads, and parking lots appear indistinct and lacking definition. Fine details such as individual vehicles, road markings, and vegetation textures are completely lost, reducing the interpretability of the image for analytical purposes. The overall image quality is poor, with critical spatial information obscured."}
{"id": "8b3c6683-efe9-4df8-9d2b-05066ce7ccd4", "image_1": "Description/single/8b3c6683-efe9-4df8-9d2b-05066ce7ccd4_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes significant softening of edges, making features like vegetation boundaries and water bodies indistinct. The loss of texture and detail obscures critical elements such as land patterns and small structures, reducing interpretability for analysis. The image quality is poor due to the heavy distortion and lack of clarity."}
{"id": "0ef0ffcf-890f-478f-88eb-8296d43e34a7", "image_1": "Description/single/0ef0ffcf-890f-478f-88eb-8296d43e34a7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes the image to lose sharpness, making edges and fine details appear soft and indistinct. Key features such as the linear structures and texture variations are heavily obscured, reducing the ability to discern specific patterns or boundaries. The image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "2b995227-2014-46c3-9c70-40c91f65239e", "image_1": "Description/single/2b995227-2014-46c3-9c70-40c91f65239e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes a significant loss of detail, making the landscape appear overly smooth and indistinct. Vegetation textures and fine features such as pathways or boundaries are no longer discernible, reducing the ability to interpret land cover or identify specific elements. The image quality is poor, with limited utility for analytical purposes."}
{"id": "55fde244-7783-4dd2-aadc-0a11033efe9f", "image_1": "Description/single/55fde244-7783-4dd2-aadc-0a11033efe9f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur significantly softens the edges of buildings and trees, creating a hazy and indistinct appearance. Key features such as roads, vegetation textures, and structural details are difficult to discern, reducing the image's interpretability for analysis. The overall image quality is poor due to the heavy loss of clarity and detail."}
{"id": "4e75377e-6779-4180-8c7f-2cf68ab7c3bd", "image_1": "Description/single/4e75377e-6779-4180-8c7f-2cf68ab7c3bd_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate gaussian blur softens the edges of buildings and roads, making structural details less distinct. The blurring reduces the clarity of urban features, such as individual rooftops and road intersections, hindering precise interpretation. The image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "5cd765b5-e0d7-47ff-bc1d-a2858f9b3ef0", "image_1": "Description/single/5cd765b5-e0d7-47ff-bc1d-a2858f9b3ef0_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The moderate gaussian blur softens the edges of buildings and roads, making structural details appear less defined. The blurring reduces interpretability by obscuring fine features such as road markings and vegetation textures, which are critical for analysis. The image quality is moderately degraded, impacting its usability for detailed observation."}
{"id": "0ea778c2-09f3-453f-9480-f982226d2bcc", "image_1": "Description/single/0ea778c2-09f3-453f-9480-f982226d2bcc_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes significant loss of detail, making building edges indistinct and blending urban features into a uniform appearance. Roads, vegetation, and structural patterns are difficult to discern, reducing the ability to interpret spatial relationships and land use. The image quality is poor, with critical visual information heavily degraded."}
{"id": "eb7664b6-0674-471d-a790-a2b53a5e4368", "image_1": "Description/single/eb7664b6-0674-471d-a790-a2b53a5e4368_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian blur causes the distorted image to appear overly smooth, eliminating sharp edges and fine details in features like water bodies and agricultural plots. The blurring significantly reduces interpretability, making boundaries between land and water indistinct and obscuring the texture of vegetation and infrastructure. The image quality is poor, with critical spatial information lost."}
{"id": "9f804f97-d7e9-4752-9d35-984fb27dc71f", "image_1": "Description/single/9f804f97-d7e9-4752-9d35-984fb27dc71f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes significant softening of building edges and loss of fine structural details, making the urban layout appear indistinct. Roads and parking lots are difficult to discern, and the lack of sharpness obscures critical features such as individual vehicles and vegetation patterns. The image quality is poor, with reduced clarity and limited usability for detailed analysis."}
{"id": "831a7f6a-d7a4-4865-b771-b2933e8701c0", "image_1": "Description/single/831a7f6a-d7a4-4865-b771-b2933e8701c0_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes the image to appear heavily smoothed, obscuring fine details and creating a hazy, indistinct visual effect. Key features such as the winding river and agricultural field boundaries are difficult to discern, and the texture of vegetation is almost entirely lost. The image quality is poor, significantly limiting its usability for detailed analysis or interpretation."}
{"id": "e6f276f9-e822-4977-8c47-f978c8be0801", "image_1": "Description/single/e6f276f9-e822-4977-8c47-f978c8be0801_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes significant softening of edges, making buildings and roads appear indistinct and blending their boundaries with the surrounding areas. The loss of fine details obscures critical features such as vegetation patterns and field divisions, reducing the image's interpretability for land use analysis. The overall image quality is poor, with diminished clarity and usability for detailed observation."}
{"id": "eedfb20b-a29b-4fdd-98b1-bc4430b2e125", "image_1": "Description/single/eedfb20b-a29b-4fdd-98b1-bc4430b2e125_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes the vegetation texture to appear smoothed out, eliminating fine details and creating a uniform, indistinct surface. This level of blurring significantly reduces the ability to discern boundaries or identify specific features, such as water bodies or variations in land cover. The image quality is poor, with diminished clarity and analytical utility."}
{"id": "d5a097e8-1f2e-4916-bb3a-df2709585e7e", "image_1": "Description/single/d5a097e8-1f2e-4916-bb3a-df2709585e7e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes significant softening of edges, making features like buildings and roads indistinct and blending them into the surrounding landscape. The loss of fine details obscures terrain textures and vegetation patterns, reducing the ability to interpret land use or identify specific structures. The image quality is poor, with diminished clarity and analytical value."}
{"id": "750d4f53-05df-4566-b47d-efd8573ca412", "image_1": "Description/single/750d4f53-05df-4566-b47d-efd8573ca412_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes a significant loss of detail, making the landscape appear overly smooth and indistinct. Key features such as water bodies, vegetation patterns, and terrain textures are heavily obscured, reducing the ability to discern specific landforms or boundaries. The image quality is poor, with minimal usability for detailed analysis or interpretation."}
{"id": "3872f649-463a-4098-a65f-3d3074f26967", "image_1": "Description/single/3872f649-463a-4098-a65f-3d3074f26967_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes the ship and water surface details to appear smoothed, reducing sharpness and clarity.  \nThe wake trail behind the ship becomes indistinct, and the texture of the water loses its fine granularity, making it difficult to analyze movement or surface patterns.  \nThe image quality is poor due to the significant loss of detail and sharpness."}
{"id": "912b3f14-fa27-4256-9976-a5a1991acdf0", "image_1": "Description/single/912b3f14-fa27-4256-9976-a5a1991acdf0_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian blur causes significant softening of edges, making structures and terrain features indistinct and difficult to differentiate. The loss of fine details obscures critical elements such as road patterns and vegetation textures, reducing the image's interpretability for analysis. The overall image quality is poor due to the heavy distortion and lack of clarity."}
{"id": "1f064858-3e2c-454a-b169-35b7784196af", "image_1": "Description/single/1f064858-3e2c-454a-b169-35b7784196af_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes a significant loss of detail, making the vegetation appear uniformly smudged and eliminating fine textures. The boundaries between different land cover types are indistinct, hindering the ability to discern specific features such as clearings or water bodies. The image quality is poor, with reduced clarity and analytical usability."}
{"id": "ab2230f0-7109-467d-8542-58624411c04a", "image_1": "Description/single/ab2230f0-7109-467d-8542-58624411c04a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian blur causes significant loss of detail, making the landscape appear overly smooth and eliminating sharp boundaries between features. Roads and field patterns are indistinct, and the texture of vegetation is heavily degraded, reducing the ability to discern specific land-use types. The image quality is poor, with limited utility for detailed analysis or interpretation."}
{"id": "a6857d92-995a-4d34-890a-734a15a0d80a", "image_1": "Description/single/a6857d92-995a-4d34-890a-734a15a0d80a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian blur significantly softens building edges and diminishes the clarity of architectural structures, making them appear indistinct and undefined. The distortion obscures fine details such as road markings and building textures, reducing the ability to interpret urban layouts and spatial relationships. The image quality is poor, with substantial loss of sharpness and visual information."}
{"id": "5d16b10a-4746-4d87-8ed0-1c13dfa37194", "image_1": "Description/single/5d16b10a-4746-4d87-8ed0-1c13dfa37194_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The motion blur softens the edges of buildings and roads, making them appear less defined and harder to distinguish. Fine details, such as the texture of vegetation and smaller structures, are obscured, reducing the clarity of spatial patterns and features. The image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "031ef96f-a8cd-476c-b3f8-86ea36d3eb3c", "image_1": "Description/single/031ef96f-a8cd-476c-b3f8-86ea36d3eb3c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes a loss of sharpness, smearing vegetation patterns and creating an overall hazy appearance. The distortion obscures fine details, making it difficult to discern terrain features and reducing the clarity of land cover textures. The image quality is poor, significantly limiting its usability for analysis or interpretation."}
{"id": "b168c372-0935-4ad6-a1fd-5f6ec07266d4", "image_1": "Description/single/b168c372-0935-4ad6-a1fd-5f6ec07266d4_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate motion blur causes a noticeable softening of edges, making individual features like trees and ground patterns appear less distinct. The blurring diminishes the ability to discern fine details, such as the precise shapes and boundaries of vegetation and terrain features. The image quality is moderately degraded, reducing its suitability for detailed analysis."}
{"id": "02cdd634-82d8-44d8-8997-20b094eed504", "image_1": "Description/single/02cdd634-82d8-44d8-8997-20b094eed504_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate motion blur causes a noticeable softening of edges, making buildings and roads appear less defined and blending vegetation into indistinct patches. The blurring diminishes the clarity of fine details, such as road networks and individual structures, reducing the image's suitability for precise analysis. The overall image quality is moderately degraded, limiting its usability for detailed interpretation."}
{"id": "26676d93-c310-4c26-88d0-d4e6fa3d4893", "image_1": "Description/single/26676d93-c310-4c26-88d0-d4e6fa3d4893_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The motion blur causes a noticeable softening of details, making edges of natural features like water bodies and vegetation appear smeared. This distortion reduces interpretability by obscuring fine textures and boundaries, making it difficult to distinguish smaller landscape elements. The image quality is moderately degraded, limiting its analytical value for precise observations."}
{"id": "862faf07-4671-4e90-937a-5d60fbbbb6f9", "image_1": "Description/single/862faf07-4671-4e90-937a-5d60fbbbb6f9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes the image to appear smeared, obscuring fine details and creating a hazy, indistinct visual effect. The loss of clarity diminishes the ability to discern features such as vegetation patterns and boundaries, making interpretation challenging. The image quality is poor due to the significant degradation of spatial detail and sharpness."}
{"id": "90361530-49fc-4d2c-867c-d7b5222c6166", "image_1": "Description/single/90361530-49fc-4d2c-867c-d7b5222c6166_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes the vegetation and terrain features to appear smeared, making individual elements indistinct and blending colors together. The loss of sharpness obscures fine details, such as the texture of vegetation and the boundaries between different land cover types. The image quality is poor, significantly limiting its usability for detailed analysis or interpretation."}
{"id": "df86da87-8af2-456e-9e92-413b1831194c", "image_1": "Description/single/df86da87-8af2-456e-9e92-413b1831194c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes the distorted image to lose sharpness, making building edges and urban structures appear smeared and indistinct. The blurring obscures fine details such as road layouts and shoreline boundaries, significantly reducing the ability to interpret spatial features accurately. The image quality is poor, with diminished clarity and usability for analytical purposes."}
{"id": "95ccbc98-9952-4b28-851e-2ad8d3c8cbb6", "image_1": "Description/single/95ccbc98-9952-4b28-851e-2ad8d3c8cbb6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe motion blur causes a smearing effect, making the landscape appear streaked and reducing the clarity of individual features. The texture of vegetation is heavily degraded, and fine details such as boundaries or distinct landforms are indistinguishable. The image quality is poor, significantly limiting its usability for detailed analysis or interpretation."}
{"id": "1bbda3be-9675-49c0-82e6-4273cd5a60e9", "image_1": "Description/single/1bbda3be-9675-49c0-82e6-4273cd5a60e9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The motion blur severely diminishes the clarity of building edges and vegetation, creating a smeared and indistinct appearance. Fine details such as the texture of greenery and the boundaries between urban and natural areas are lost, making it difficult to discern specific features. The image quality is poor, significantly impairing its usability for analytical purposes."}
{"id": "5f0c8836-1899-46e1-a6e8-f8c9a35f8011", "image_1": "Description/single/5f0c8836-1899-46e1-a6e8-f8c9a35f8011_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes a loss of sharpness, making building edges indistinct and agricultural plots appear smeared.  \nThe distortion obscures fine details, such as road layouts and vegetation patterns, significantly reducing interpretability for analysis.  \nThe image quality is poor due to the pronounced blurring and lack of clarity."}
{"id": "7cbe81f8-0a49-4117-a7f9-2f68bafa2481", "image_1": "Description/single/7cbe81f8-0a49-4117-a7f9-2f68bafa2481_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes the landscape features to appear smeared, with indistinct edges and a loss of fine detail. The blurring significantly reduces interpretability, making it difficult to discern smaller features such as water bodies and vegetation patterns. The image quality is poor, with compromised clarity and analytical usability."}
{"id": "3817c16c-13cb-41bb-9cff-d55cb5f06e5b", "image_1": "Description/single/3817c16c-13cb-41bb-9cff-d55cb5f06e5b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes significant loss of detail, making building edges indistinct and blending colors across structures. The distortion obscures critical features such as road layouts and rooftop patterns, reducing the ability to analyze urban infrastructure. The image quality is poor, with minimal utility for detailed interpretation or remote sensing analysis."}
{"id": "fb80ea4d-a2d7-43a9-98e2-da617e879769", "image_1": "Description/single/fb80ea4d-a2d7-43a9-98e2-da617e879769_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes significant smearing of building edges and vegetation, making structures appear indistinct and elongated. The loss of sharpness obscures fine details, such as individual tree canopies and building outlines, reducing the ability to interpret spatial patterns accurately. The image quality is poor due to the overwhelming distortion and lack of clarity."}
{"id": "9a9b63ca-de15-4cef-ad46-f17663b33e8d", "image_1": "Description/single/9a9b63ca-de15-4cef-ad46-f17663b33e8d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe motion blur causes a loss of sharpness, making surface textures appear smeared and indistinct. Fine details, such as subtle variations in terrain or features, are obscured, reducing the ability to interpret spatial patterns accurately. The image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "a7fe49da-38ac-4a93-b161-bb2fa6405de1", "image_1": "Description/single/a7fe49da-38ac-4a93-b161-bb2fa6405de1_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The motion blur causes a noticeable softening of building edges and reduces the clarity of individual structures, making them appear smeared. Vegetation details and smaller features are obscured, diminishing the ability to distinguish textures and spatial patterns. The image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "dee33211-cdf8-4454-9324-2c8c091a4a14", "image_1": "Description/single/dee33211-cdf8-4454-9324-2c8c091a4a14_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The motion blur softens the edges of buildings and roads, creating a hazy appearance that reduces clarity in urban structures. Fine details, such as individual rooftops and vegetation textures, are obscured, making it difficult to distinguish specific features or analyze spatial patterns. The image quality is moderately degraded, limiting its usefulness for detailed interpretation or analysis."}
{"id": "7db557b9-97a1-4998-ad88-3379abc0cf8c", "image_1": "Description/single/7db557b9-97a1-4998-ad88-3379abc0cf8c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes significant smearing of building edges and road structures, making urban features appear indistinct and elongated. The distortion obscures fine details such as road intersections and vegetation patterns, reducing the ability to interpret spatial relationships and land use. The image quality is poor, with major degradation in clarity and analytical usability."}
{"id": "235090ec-2403-48fe-ba4a-ca37dc9c7968", "image_1": "Description/single/235090ec-2403-48fe-ba4a-ca37dc9c7968_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes a loss of sharpness, making field boundaries and vegetation textures appear smeared and indistinct.  \nThe distortion obscures critical details, such as the clarity of farmland patterns and the definition of linear features like roads or paths.  \nThe image quality is poor, significantly hindering its usability for detailed analysis or interpretation."}
{"id": "0b99ee6c-9d6e-4e27-a7ee-a1a6e565387a", "image_1": "Description/single/0b99ee6c-9d6e-4e27-a7ee-a1a6e565387a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes the image to appear smeared, with edges of features like roads and fields losing sharpness and clarity. The distortion obscures fine details such as crop patterns and road intersections, making it difficult to distinguish specific elements or textures. The image quality is poor, significantly hindering its usability for detailed analysis or interpretation."}
{"id": "931f8c14-b85f-48c6-9e2a-1c52c9a75e75", "image_1": "Description/single/931f8c14-b85f-48c6-9e2a-1c52c9a75e75_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes a significant loss of detail, making buildings and streets appear smeared and indistinct. The distortion obscures structural boundaries and eliminates fine textures, rendering roads, rooftops, and other features difficult to interpret. The image quality is poor, with diminished usability for analytical purposes."}
{"id": "1e61fc14-6c44-4bbb-b274-dc7c5122ee0e", "image_1": "Description/single/1e61fc14-6c44-4bbb-b274-dc7c5122ee0e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes the image to appear smeared, significantly softening edges and blending distinct land and water boundaries.  \nThe blurring obscures fine details such as vegetation patterns and infrastructure, making it difficult to interpret specific features like roads or shoreline structures.  \nThe image quality is poor, with reduced clarity and analytical value for remote sensing purposes."}
{"id": "425add27-bbe3-47be-bfff-50734a1bcabb", "image_1": "Description/single/425add27-bbe3-47be-bfff-50734a1bcabb_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes significant loss of detail, making the forested areas appear smeared and indistinct. The texture of vegetation is heavily degraded, and individual features like buildings and field boundaries are difficult to discern. The image quality is poor, with reduced clarity and interpretability for visual analysis."}
{"id": "ec4f04c0-3b1d-4d00-a670-6c450a15ad78", "image_1": "Description/single/ec4f04c0-3b1d-4d00-a670-6c450a15ad78_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes significant loss of detail, making building edges and road structures appear smeared and indistinct. The distortion obscures fine features such as road markings and individual rooftops, reducing the ability to interpret spatial patterns and urban layouts. The image quality is poor, with limited usability for analytical purposes."}
{"id": "6dfc1090-2e5a-4541-a0d7-354beefb250b", "image_1": "Description/single/6dfc1090-2e5a-4541-a0d7-354beefb250b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes significant softening of edges, making buildings and farmland boundaries indistinct and visually smeared. The distortion obscures fine details, such as road structures and vegetation textures, reducing the interpretability of spatial patterns and land use features. The image quality is poor, with diminished clarity and analytical value."}
{"id": "00dd69d4-11ab-45db-afea-940105097e9a", "image_1": "Description/single/00dd69d4-11ab-45db-afea-940105097e9a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes the distorted image to appear smeared, softening edges and reducing clarity in features such as fields and vegetation clusters. The blurring obscures fine details, making it difficult to distinguish individual trees, field boundaries, and structural outlines. The image quality is poor, significantly limiting its usefulness for interpretation or analysis."}
{"id": "db22653d-318c-41e3-b9c8-6b58b0cf6f62", "image_1": "Description/single/db22653d-318c-41e3-b9c8-6b58b0cf6f62_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe motion blur causes a significant loss of detail, making features such as buildings, roads, and vegetation appear smeared and indistinct. The blurring obscures critical textures and boundaries, rendering it difficult to differentiate between urban structures, natural landscapes, and water bodies. The image quality is poor, severely limiting its usability for analysis or interpretation."}
{"id": "0aacafdc-4c24-4703-b83e-2065a494f667", "image_1": "Description/single/0aacafdc-4c24-4703-b83e-2065a494f667_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes significant smearing of details, making building edges and vegetation boundaries appear indistinct and soft. The distortion obscures critical features such as road outlines and individual tree textures, reducing the ability to interpret spatial relationships and land cover accurately. The image quality is poor, with diminished clarity and analytical usability."}
{"id": "a6458c3e-614e-4d59-ad7c-cdcd4447569f", "image_1": "Description/single/a6458c3e-614e-4d59-ad7c-cdcd4447569f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes significant smearing of details, making building edges indistinct and blending colors across structures and vegetation. The distortion obscures critical features such as road layouts, building shapes, and land-use patterns, reducing the image's interpretability for analysis. The image quality is poor, with a substantial loss of clarity and spatial detail."}
{"id": "aaab44e9-5d55-4fac-b820-9cbe9f8ca6e3", "image_1": "Description/single/aaab44e9-5d55-4fac-b820-9cbe9f8ca6e3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe motion blur causes significant smearing of details, making individual buildings and vegetation indistinct and blending their edges together. The distortion obscures critical features such as road boundaries and structural outlines, greatly reducing the interpretability of spatial patterns. The image quality is poor due to the loss of clarity and definition across all visible elements."}
{"id": "7d76a263-7b4e-405f-a7d8-89d0cf54483b", "image_1": "Description/single/7d76a263-7b4e-405f-a7d8-89d0cf54483b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The moderate haze causes a softening of edges and a reduction in contrast, making the boundaries of water bodies and surrounding land less distinct. The haze diminishes the visibility of fine details, such as the texture of vegetation and the clarity of field divisions, reducing interpretability. The image quality is moderately degraded, with noticeable loss of sharpness and detail."}
{"id": "ae69d73a-014d-4a62-a9e9-c4b35b7461ab", "image_1": "Description/single/ae69d73a-014d-4a62-a9e9-c4b35b7461ab_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe haze causes significant desaturation and dulling of colors, making water bodies and land features appear washed out and indistinct.  \nThe haze obscures fine details, such as infrastructure outlines and vegetation patterns, reducing the ability to discern specific land use or geographic features.  \nThe image quality is poor due to the heavy distortion and loss of clarity."}
{"id": "cfab0971-3043-42a2-a1b1-26cb9446af51", "image_1": "Description/single/cfab0971-3043-42a2-a1b1-26cb9446af51_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The moderate haze causes a softening of surface textures and reduces the clarity of fine details, making the landscape appear slightly blurred. Vegetation patterns and terrain features lose definition, making it difficult to distinguish smaller structures or subtle variations in the environment. The image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "962dc337-a664-416a-ad66-b2b0921da262", "image_1": "Description/single/962dc337-a664-416a-ad66-b2b0921da262_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The moderate haze causes a softening of edges, making roads and building outlines appear less distinct. Vegetation textures are muted, and fine details in residential areas are harder to discern, reducing clarity for analysis. The image quality is moderately degraded, impacting its usability for detailed interpretation."}
{"id": "c5978bb0-0a0f-49bc-8167-6f2cd39c791b", "image_1": "Description/single/c5978bb0-0a0f-49bc-8167-6f2cd39c791b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate haze causes a softening of edges and reduces the clarity of structures, making details like tanks and buildings appear less distinct.  \nThe haze diminishes the visibility of ground textures and features, such as vegetation patterns and road outlines, impairing interpretability for analysis.  \nThe image quality is moderately degraded, with noticeable loss of sharpness and detail."}
{"id": "b94511f3-b0ac-4311-bc27-8882f44990cc", "image_1": "Description/single/b94511f3-b0ac-4311-bc27-8882f44990cc_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe haze causes significant blurring and desaturation, making terrain features appear faint and indistinct.  \nRoads and pathways lose clarity, and vegetation patterns are obscured, reducing the ability to discern land use or structural details.  \nThe image quality is poor, with limited utility for detailed analysis or interpretation."}
{"id": "2f381933-9fb5-4ca4-819a-bbe3105bed66", "image_1": "Description/single/2f381933-9fb5-4ca4-819a-bbe3105bed66_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe haze causes significant blurring and desaturation, making vegetation appear washed out and indistinct. The loss of texture and detail obscures features like roads and boundaries, reducing the interpretability of the landscape. The image quality is poor due to the heavy distortion and lack of clarity."}
{"id": "43e1110e-a555-4985-b818-0b52d28ed3ff", "image_1": "Description/single/43e1110e-a555-4985-b818-0b52d28ed3ff_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe haze causes a significant loss of contrast and clarity, making the vegetation appear washed out and indistinct. Fine details in the texture of the vegetation are obscured, reducing the ability to discern patterns or boundaries within the landscape. The image quality is poor, with diminished visual and analytical utility."}
{"id": "ad2a0c7d-4e46-4e2b-bde1-c55f020bdc88", "image_1": "Description/single/ad2a0c7d-4e46-4e2b-bde1-c55f020bdc88_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe haze causes a significant loss of contrast, making terrain features appear muted and indistinct.  \nThe distortion obscures fine details, such as surface textures and subtle variations in landforms, reducing interpretability.  \nThe image quality is poor due to the overwhelming visual degradation caused by the haze."}
{"id": "ce70c159-920e-441b-b350-ccdb608207a5", "image_1": "Description/single/ce70c159-920e-441b-b350-ccdb608207a5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe haze causes significant fading and desaturation, making the landscape appear washed out and reducing contrast between features.  \nKey details such as road markings and vegetation textures are obscured, making it difficult to distinguish boundaries and assess land use.  \nThe image quality is poor due to the heavy distortion and loss of clarity."}
{"id": "5f8e93c9-a309-4c3a-8a87-381914c56e26", "image_1": "Description/single/5f8e93c9-a309-4c3a-8a87-381914c56e26_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe haze causes significant blurring and desaturation, making building edges and road boundaries indistinct. Vegetation textures and fine details are obscured, reducing the ability to differentiate land cover types and urban structures. The image quality is poor, with limited usability for detailed analysis or interpretation."}
{"id": "3adb015e-87e6-4d56-9271-1fd25f47a78b", "image_1": "Description/single/3adb015e-87e6-4d56-9271-1fd25f47a78b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe haze causes significant blurring, making building edges indistinct and reducing overall clarity. The distortion obscures fine details, such as road layouts and vegetation patterns, making it difficult to interpret urban structures and land use. The image quality is poor, with reduced visibility and diminished analytical value."}
{"id": "5b604f89-eded-4519-9106-7ed3f2ece660", "image_1": "Description/single/5b604f89-eded-4519-9106-7ed3f2ece660_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe haze significantly diminishes contrast and sharpness, causing landscape features such as buildings and roads to appear faint and indistinct. The distortion obscures fine details, making it difficult to discern vegetation patterns, urban layouts, and water boundaries. The image quality is poor, with reduced clarity and interpretability for analytical purposes."}
{"id": "1884641e-94d4-4a9a-9578-f2f37c519fda", "image_1": "Description/single/1884641e-94d4-4a9a-9578-f2f37c519fda_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe haze significantly diminishes contrast and clarity, creating a washed-out appearance and obscuring fine details across the landscape. Key features such as roads and vegetation patterns are indistinct, making it challenging to discern spatial structures or land cover types. The image quality is poor, with limited usability for visual interpretation or analytical purposes."}
{"id": "bdd77be3-4dcc-4b65-bdbc-177601fff39d", "image_1": "Description/single/bdd77be3-4dcc-4b65-bdbc-177601fff39d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe haze causes significant blurring and desaturation, making vegetation and land features appear washed out and indistinct.  \nKey details such as road edges, water boundaries, and small structures are obscured, reducing the image's interpretability and hindering accurate analysis.  \nThe image quality is poor due to the heavy distortion and loss of clarity."}
{"id": "64ff7618-5c8c-4a30-b2b2-327e1c1f3411", "image_1": "Description/single/64ff7618-5c8c-4a30-b2b2-327e1c1f3411_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The moderate haze causes a softening of building edges and reduces the clarity of fine details, making structures appear less distinct. Vegetation texture is muted, and linear features like roads and railways lose sharpness, hindering precise identification. The image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "cae321d7-e516-446e-9d56-1903fbdcbb4d", "image_1": "Description/single/cae321d7-e516-446e-9d56-1903fbdcbb4d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate haze causes a softening of building edges and reduces the clarity of fine details in urban structures.  \nVegetation textures appear muted, and road centerlines are less distinct, making spatial interpretation more challenging.  \nThe image quality is moderately degraded, limiting its usability for detailed analysis."}
{"id": "c926ccf3-4c0d-4df9-a498-670edbab0260", "image_1": "Description/single/c926ccf3-4c0d-4df9-a498-670edbab0260_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe haze significantly reduces contrast and clarity, making urban structures and roads appear faint and indistinct. Fine details such as building edges and vegetation patterns are obscured, hindering the ability to discern spatial features and land use. The image quality is poor, with diminished interpretability for analytical purposes."}
{"id": "c49c2b51-a75f-43f3-a1c4-fbc579bcd588", "image_1": "Description/single/c49c2b51-a75f-43f3-a1c4-fbc579bcd588_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe haze causes significant blurring, making building edges and road intersections indistinct and reducing overall clarity.  \nThe haze obscures fine details, such as vegetation patterns and urban structures, making it difficult to interpret spatial features accurately.  \nThe image quality is poor due to the heavy distortion and loss of visual detail."}
{"id": "067d3eaa-9ce6-4efa-8366-205654213ccc", "image_1": "Description/single/067d3eaa-9ce6-4efa-8366-205654213ccc_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe haze significantly reduces contrast and clarity, making features like roads and buildings appear faint and indistinct. The vegetation texture is heavily obscured, and the boundaries between land types are difficult to discern, impairing interpretability. The image quality is poor due to the overwhelming loss of detail and sharpness."}
{"id": "4ba75994-6fe4-40a8-8a69-5d06e4ceb1bc", "image_1": "Description/single/4ba75994-6fe4-40a8-8a69-5d06e4ceb1bc_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe haze significantly reduces contrast and clarity, making buildings, roads, and vegetation appear faint and indistinct. The lack of sharpness obscures fine details, such as road networks and individual structures, diminishing the image's interpretability for urban analysis. The image quality is poor due to the overwhelming loss of detail and visibility."}
{"id": "915a83e8-37ad-463a-8281-3443fe2f75f5", "image_1": "Description/single/915a83e8-37ad-463a-8281-3443fe2f75f5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe haze significantly reduces contrast and saturation, making vegetation and terrain features appear washed out and less distinct. The lack of clarity obscures fine details, such as building structures and road edges, hindering accurate interpretation of spatial patterns. The image quality is poor, with diminished usability for analytical purposes."}
{"id": "d88984c6-ccc8-410b-a541-6ad7784541e1", "image_1": "Description/single/d88984c6-ccc8-410b-a541-6ad7784541e1_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe haze causes a significant loss of contrast, making vegetation patterns appear muted and less distinct. Fine textures in the forest canopy are obscured, and boundaries between different land cover types are difficult to discern. The image quality is poor, with reduced clarity and diminished analytical value."}
{"id": "59e14014-f36f-4063-a3da-5c003e0db5a7", "image_1": "Description/single/59e14014-f36f-4063-a3da-5c003e0db5a7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe haze causes significant blurring and desaturation, making vegetation appear uniformly dull and reducing the visibility of distinct textures.  \nThe haze obscures fine details, such as the boundaries of agricultural plots and the clarity of built structures, impairing interpretability for land use analysis.  \nThe image quality is poor due to the heavy distortion and loss of visual detail."}
{"id": "43a0d937-583f-40cd-b018-df72c5364ace", "image_1": "Description/single/43a0d937-583f-40cd-b018-df72c5364ace_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe haze causes significant blurring and desaturation, making land features like fields and roads appear indistinct and washed out.  \nKey details such as vegetation patterns, building outlines, and road networks are obscured, reducing the image's usability for analysis.  \nThe image quality is poor due to the heavy distortion and lack of clarity."}
{"id": "38b086fa-f673-42c2-94f6-91f2df1cf78a", "image_1": "Description/single/38b086fa-f673-42c2-94f6-91f2df1cf78a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe haze causes a significant loss of contrast, making surface features appear faint and washed out. The distortion obscures fine details, such as terrain textures and small geological formations, reducing the ability to discern spatial patterns. The image quality is poor due to the heavy degradation of clarity and visibility."}
{"id": "24c4747a-f8f3-4b7a-8491-651ccf3f987f", "image_1": "Description/single/24c4747a-f8f3-4b7a-8491-651ccf3f987f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe haze significantly reduces contrast and clarity, causing the image to appear washed out and muted, with diminished visibility of building edges and road structures. The distortion obscures fine details, making it difficult to discern vegetation textures, road centerlines, and smaller features within urban areas. The image quality is poor, with limited usability for detailed analysis or interpretation."}
{"id": "3e28730b-fd59-4f78-94cc-d0007081a47a", "image_1": "Description/single/3e28730b-fd59-4f78-94cc-d0007081a47a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe haze causes significant blurring and desaturation, making farmland patterns and urban structures appear muted and less distinct. Key features such as road networks and building edges are obscured, reducing the clarity of spatial details and hindering accurate interpretation. The image quality is poor due to the heavy distortion and loss of visual information."}
{"id": "da99937c-9b09-4b2a-8b2e-8f2529d7558a", "image_1": "Description/single/da99937c-9b09-4b2a-8b2e-8f2529d7558a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe haze significantly reduces contrast, causing the image to appear washed out and diminishing the visibility of fine details such as road markings and vegetation patterns.  \nKey features like the texture of the greenery and the clarity of the building edges are obscured, making it difficult to interpret spatial relationships and identify specific elements.  \nThe image quality is poor due to the heavy distortion, which compromises its usability for analytical purposes."}
{"id": "44bd00f8-a013-45b7-8ea2-847133c627a6", "image_1": "Description/single/44bd00f8-a013-45b7-8ea2-847133c627a6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe haze causes significant blurring and desaturation, making farmland patterns and urban structures appear faint and indistinct.  \nKey features like road networks and field boundaries are obscured, reducing the ability to accurately interpret spatial relationships and land use.  \nThe image quality is poor due to the heavy distortion and loss of visual clarity."}
{"id": "fe728a22-b652-4b46-8697-a5fd45fc82c6", "image_1": "Description/single/fe728a22-b652-4b46-8697-a5fd45fc82c6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate cloud coverage obscures portions of the terrain, creating bright patches that disrupt the visibility of natural and built features.  \nKey details, such as the texture of vegetation and the clarity of infrastructure like roads and buildings, are diminished, reducing interpretability.  \nThe image quality is moderately impaired, with significant loss of detail in affected areas."}
{"id": "fff18889-c382-45cd-a5e5-37944b0b5b41", "image_1": "Description/single/fff18889-c382-45cd-a5e5-37944b0b5b41_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Dense cloud cover obscures large portions of the landscape, creating bright, irregular patches that disrupt the natural flow of the river and surrounding terrain. The obstruction caused by the clouds significantly reduces visibility, making it difficult to discern key features such as vegetation patterns and waterway details. The image quality is poor due to the severe interference from the cloud cover."}
{"id": "bc493eda-3964-4a67-873d-dc60963f327e", "image_1": "Description/single/bc493eda-3964-4a67-873d-dc60963f327e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The presence of severe cloud cover obscures large portions of the urban area, creating bright, undefined patches that disrupt the visibility of streets and buildings. Key features such as road networks and building layouts are indistinct, making it difficult to analyze spatial patterns or infrastructure details. The image quality is poor due to the significant obstruction caused by the clouds."}
{"id": "3f9f5ce9-de93-4f66-896b-33a64f54d761", "image_1": "Description/single/3f9f5ce9-de93-4f66-896b-33a64f54d761_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Dense cloud coverage obscures large portions of the farmland, creating bright patches and reducing visibility of field boundaries.  \nThe severe cloud distortion eliminates critical details, such as the texture and structure of agricultural plots, making land use analysis difficult.  \nThe image quality is poor due to significant visual obstructions and loss of spatial information."}
{"id": "e057f6ce-6ac7-4aec-b4ed-4d3c8f602bf5", "image_1": "Description/single/e057f6ce-6ac7-4aec-b4ed-4d3c8f602bf5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Dense cloud coverage obscures large portions of the terrain, creating bright patches and reducing visibility of underlying features.  \nKey details such as field boundaries and vegetation patterns are heavily obscured, making it difficult to discern land use or analyze spatial structures.  \nThe image quality is poor due to the severe obstruction caused by the cloud distortion."}
{"id": "725da323-e0d7-44da-84ef-9b2acb0c8096", "image_1": "Description/single/725da323-e0d7-44da-84ef-9b2acb0c8096_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe cloud distortion creates a bright, washed-out region that obscures ground features and disrupts spatial continuity. Key details, such as vegetation patterns and infrastructure layouts, are heavily obscured, making interpretation of land use and terrain characteristics difficult. The image quality is poor due to significant loss of clarity and detail."}
{"id": "48a2ace3-94a7-4461-8d44-441068b7529c", "image_1": "Description/single/48a2ace3-94a7-4461-8d44-441068b7529c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The presence of moderate cloud cover creates bright, opaque patches that obscure the underlying terrain, disrupting the visual continuity of the landscape. Vegetation texture and spatial details are partially lost, making it difficult to discern finer patterns or features in the affected areas. The image quality is moderately degraded, limiting its usability for detailed analysis."}
{"id": "82d55c26-a0c5-4bed-88e1-2070fd6a3e3c", "image_1": "Description/single/82d55c26-a0c5-4bed-88e1-2070fd6a3e3c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The presence of moderate cloud cover obscures portions of the image, creating bright patches that disrupt the visibility of buildings and vegetation. Key features such as the texture of vegetation and the clarity of road structures are diminished, making detailed interpretation difficult. The overall image quality is moderately degraded due to the cloud interference."}
{"id": "0b1b935f-d978-4a39-9ae4-9484a16ec1e7", "image_1": "Description/single/0b1b935f-d978-4a39-9ae4-9484a16ec1e7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "A dense cloud obscures large portions of the image, creating a bright, washed-out area that disrupts the visibility of urban structures and natural features.  \nThe severe cloud cover significantly reduces interpretability, making it difficult to discern building layouts, road networks, and vegetation patterns.  \nThe image quality is poor due to the extensive obstruction caused by the cloud."}
{"id": "77e8dc36-d980-4d6d-8e81-286ec2475b81", "image_1": "Description/single/77e8dc36-d980-4d6d-8e81-286ec2475b81_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Dense cloud coverage obscures large portions of the urban area, creating a washed-out appearance and reducing visibility of building structures.  \nKey features such as roads, building layouts, and vegetation patterns are indistinct, significantly hindering spatial analysis and interpretation.  \nThe image quality is poor due to the severe obstruction caused by the cloud distortion."}
{"id": "5fac5708-73b5-4896-98d3-89cf2c54b0a9", "image_1": "Description/single/5fac5708-73b5-4896-98d3-89cf2c54b0a9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The presence of moderate cloud cover obscures portions of the image, creating bright patches that reduce visibility of key features such as roads and buildings. The cloud distortion diminishes interpretability by concealing fine details, making it difficult to discern infrastructure layouts and land use patterns. The image quality is moderately degraded, limiting its utility for detailed analysis."}
{"id": "99e2bc0a-0912-43f7-8eb1-daca283d50df", "image_1": "Description/single/99e2bc0a-0912-43f7-8eb1-daca283d50df_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The presence of severe cloud cover obscures large portions of the terrain, creating bright, washed-out areas that dominate the image and disrupt visual continuity. Key features such as roads, agricultural patterns, and vegetation textures are heavily obscured, making it difficult to discern spatial details or analyze land use effectively. The image quality is poor due to the significant loss of clarity and interpretability caused by the cloud distortion."}
{"id": "69677f1e-ef7a-4032-b023-57cb8742144e", "image_1": "Description/single/69677f1e-ef7a-4032-b023-57cb8742144e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe cloud distortion obscures large portions of the image, creating a bright, washed-out area that disrupts visual continuity. Key features such as roads, buildings, and farmland are partially or completely hidden, significantly reducing the ability to interpret spatial patterns and land use. The image quality is poor due to the extensive loss of detail and clarity caused by the cloud cover."}
{"id": "459706f9-32dd-41ba-a5c0-5cdd5a766e8f", "image_1": "Description/single/459706f9-32dd-41ba-a5c0-5cdd5a766e8f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe cloud distortion creates a bright, washed-out area that obscures significant portions of the landscape, making features indistinguishable. Key details such as the texture of vegetation and the outlines of excavation sites are lost, severely reducing interpretability and analytical value. The image quality is poor due to the overwhelming obstruction caused by the cloud."}
{"id": "bda37349-1b94-413f-bf86-c93e3211990b", "image_1": "Description/single/bda37349-1b94-413f-bf86-c93e3211990b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe cloud coverage obscures large portions of the urban landscape, creating a bright, washed-out area that disrupts visual continuity. Key features such as building structures, roads, and vegetation are heavily obscured, making it difficult to discern spatial patterns or conduct detailed analysis. The image quality is poor due to the significant loss of visible detail and clarity."}
{"id": "29e4422b-5385-44f0-934a-943599d6beed", "image_1": "Description/single/29e4422b-5385-44f0-934a-943599d6beed_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Dense cloud cover obscures large portions of the terrain, creating bright patches that disrupt the natural texture and visibility of the landscape. Key features such as roads and vegetation patterns are heavily obscured, making it difficult to discern structural details or spatial relationships. The image quality is poor due to the severe obstruction caused by the cloud distortion."}
{"id": "4147dd0e-93b9-488a-ac1f-4e478ff57c5e", "image_1": "Description/single/4147dd0e-93b9-488a-ac1f-4e478ff57c5e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe cloud distortion creates a bright, opaque region that obscures large portions of the urban area, making building edges and road layouts indistinct. The obstruction significantly reduces interpretability, as key features such as road networks and building structures are entirely hidden or fragmented. The image quality is poor due to the extensive loss of visible detail and spatial information."}
{"id": "3b539f8c-261d-4a9b-9459-5a4f3d465bfe", "image_1": "Description/single/3b539f8c-261d-4a9b-9459-5a4f3d465bfe_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Dense cloud coverage obscures large portions of the image, creating bright patches that disrupt the visual continuity of the landscape. Key features such as roads, water bodies, and vegetation are partially or completely hidden, making it difficult to discern their structure and spatial relationships. The image quality is severely degraded, limiting its usability for detailed analysis or interpretation."}
{"id": "3399a2e1-7d12-4848-9c67-186704f164d5", "image_1": "Description/single/3399a2e1-7d12-4848-9c67-186704f164d5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate cloud coverage obscures large portions of the terrain, creating soft patches that reduce clarity in agricultural patterns and vegetation details. The cloud interference diminishes the visibility of fine textures and boundaries, making it challenging to discern land use or identify specific features. The image quality is moderately degraded due to the cloud distortion."}
{"id": "6d6c5b6b-49b5-4a84-a51a-1d23457003d3", "image_1": "Description/single/6d6c5b6b-49b5-4a84-a51a-1d23457003d3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Dense cloud coverage obscures large portions of the image, creating bright patches that disrupt the visibility of urban and natural features. Key details such as building structures, road networks, and vegetation patterns are heavily obscured, making it difficult to interpret spatial relationships and land use. The image quality is poor due to the severe obstruction caused by the cloud distortion."}
{"id": "735da568-5694-42b9-9f0f-68af852cc35d", "image_1": "Description/single/735da568-5694-42b9-9f0f-68af852cc35d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Dense cloud coverage obscures large portions of the image, creating bright, irregular patches that disrupt the natural texture of the forested area.  \nThe cloud distortion significantly reduces the visibility of vegetation patterns and spatial details, making it difficult to discern the underlying land features.  \nThe image quality is poor due to the severe obstruction caused by the clouds."}
{"id": "91146880-fb06-4b5a-80bc-d55471060dcb", "image_1": "Description/single/91146880-fb06-4b5a-80bc-d55471060dcb_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Dense cloud cover obscures large portions of the scene, creating bright, washed-out areas that disrupt the visibility of structures and terrain.  \nKey features such as building details, roadways, and vegetation patterns are heavily obscured, significantly reducing the ability to analyze spatial relationships and land use.  \nThe image quality is poor due to the severe obstruction caused by the cloud distortion."}
{"id": "ef9ea652-25b9-49fe-9cb1-c530783eb4ab", "image_1": "Description/single/ef9ea652-25b9-49fe-9cb1-c530783eb4ab_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe cloud distortion obscures large portions of the urban area, creating bright, undefined patches that disrupt the visibility of buildings and streets. Key features such as road networks, sports fields, and residential structures are heavily obscured, making spatial interpretation and detailed analysis nearly impossible. The image quality is poor due to the significant loss of clarity and detail caused by the cloud coverage."}
{"id": "bdebc503-baa8-47b7-8d41-7e64d026a441", "image_1": "Description/single/bdebc503-baa8-47b7-8d41-7e64d026a441_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Dense cloud cover obscures large portions of the image, creating a bright, washed-out appearance and significantly reducing visibility of underlying features.  \nKey details such as vegetation patterns, infrastructure, and land use are heavily obscured, making spatial analysis and feature identification nearly impossible.  \nThe image quality is severely degraded, rendering it unsuitable for detailed interpretation or remote sensing applications."}
{"id": "a3e45da5-93e8-42dc-8dd6-d31d1a78c679", "image_1": "Description/single/a3e45da5-93e8-42dc-8dd6-d31d1a78c679_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The presence of severe cloud cover obscures large portions of the image, creating bright, washed-out areas that disrupt the visibility of underlying features. Key details such as building structures, road layouts, and land use patterns are heavily obscured, significantly reducing interpretability and analytical value. The overall image quality is poor due to the extensive visual obstruction caused by the cloud distortion."}
{"id": "a410ff39-c8a2-4216-9476-e6876d6ec34c", "image_1": "Description/single/a410ff39-c8a2-4216-9476-e6876d6ec34c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Cloud cover at a moderate level obscures large portions of the image, creating bright patches that disrupt the visibility of underlying features.  \nThe cloud distortion reduces interpretability by concealing field boundaries and diminishing the clarity of land textures, making it difficult to analyze agricultural patterns.  \nThe image quality is moderately degraded due to the obstruction caused by the cloud cover."}
{"id": "4727b1e4-a2c7-4ac9-9a77-334f8e9c8930", "image_1": "Description/single/4727b1e4-a2c7-4ac9-9a77-334f8e9c8930_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Dense cloud coverage obscures large portions of the image, creating uneven brightness and masking underlying features.  \nKey details such as field boundaries and surface textures are heavily obscured, making spatial interpretation and analysis difficult.  \nThe image quality is poor due to the severe obstruction caused by the cloud distortion."}
{"id": "88ea1bdd-c3f1-4f30-bcd7-511fc92bebaf", "image_1": "Description/single/88ea1bdd-c3f1-4f30-bcd7-511fc92bebaf_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate cloud coverage obscures portions of the landscape, creating areas of reduced visibility and softening the texture of vegetation.  \nThe cloud distortion diminishes the clarity of surface details, making it challenging to discern finer features such as terrain patterns and subtle color variations.  \nThe image quality is moderately impacted, with noticeable loss of interpretability in affected regions."}
{"id": "8587f3fe-926e-4655-9ae2-dee8b2d1fe12", "image_1": "Description/single/8587f3fe-926e-4655-9ae2-dee8b2d1fe12_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Dense cloud coverage obscures large portions of the farmland, creating bright white patches that disrupt the visual continuity of the scene.  \nKey features such as field boundaries and crop patterns are heavily concealed, significantly reducing the interpretability of the image.  \nThe image quality is poor due to the severe obstruction caused by the cloud distortion."}
{"id": "f5aeddd3-b76a-4522-b823-4dfa67164b52", "image_1": "Description/single/f5aeddd3-b76a-4522-b823-4dfa67164b52_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe cloud coverage obscures large portions of the image, creating bright patches and dark shadows that disrupt the visual continuity of the landscape. Key features such as water bodies and surrounding land textures are partially or completely hidden, significantly reducing the ability to interpret spatial details. The image quality is poor due to the extensive visual obstruction caused by the cloud distortion."}
{"id": "e1563837-c69b-4a97-b8a7-18624ccb8cb8", "image_1": "Description/single/e1563837-c69b-4a97-b8a7-18624ccb8cb8_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces noticeable blurring, reducing the clarity of terrain features and softening transitions between distinct landforms.  \nThe compression diminishes interpretability by obscuring fine details, such as small geological formations and subtle texture variations in the landscape.  \nThe image quality is fair but lacks the sharpness and precision needed for detailed analysis."}
{"id": "5867b53b-5708-41a6-85ef-442e6d3f73f6", "image_1": "Description/single/5867b53b-5708-41a6-85ef-442e6d3f73f6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and significant blurring, causing the terrain features to appear smeared and indistinct. The loss of fine details and texture makes it difficult to discern natural patterns, such as vegetation distribution or subtle land formations. The image quality is poor, with reduced clarity and analytical usability."}
{"id": "ba4d06f3-c3aa-430a-bfe8-a40037b293ef", "image_1": "Description/single/ba4d06f3-c3aa-430a-bfe8-a40037b293ef_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces slight blurring, softening the edges of buildings and reducing the clarity of urban structures. Fine details such as road centerlines and small-scale features are less distinguishable, diminishing the interpretability of the image for detailed analysis. The overall image quality is fair but lacks sharpness and precision for high-accuracy applications."}
{"id": "0e449663-878d-45f1-9c02-b6ea3ba2d128", "image_1": "Description/single/0e449663-878d-45f1-9c02-b6ea3ba2d128_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces noticeable blurring, softening the edges of buildings and reducing the clarity of fine details.  \nThe compression diminishes interpretability by obscuring road outlines and reducing the visibility of vegetation patterns, making land use analysis more challenging.  \nThe image quality is moderately degraded, with reduced sharpness and detail affecting its usability for precise observations."}
{"id": "306d6213-0b9c-4784-9d4a-eec056861004", "image_1": "Description/single/306d6213-0b9c-4784-9d4a-eec056861004_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces slight blurring, causing building edges and road patterns to appear less distinct. The compression reduces interpretability by obscuring fine urban details, making it harder to discern individual structures and road networks. The image quality is fair but lacks sharpness and clarity for detailed analysis."}
{"id": "8c4816eb-b675-4843-965f-4cc273a0e78c", "image_1": "Description/single/8c4816eb-b675-4843-965f-4cc273a0e78c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression causes noticeable blurring and pixelation, making vegetation and building edges appear indistinct. The loss of fine details and texture significantly reduces the ability to discern land features and differentiate between structures and natural elements. The image quality is poor, limiting its usefulness for detailed analysis or interpretation."}
{"id": "d2e8f99c-1682-4ecd-b050-7d6116b56777", "image_1": "Description/single/d2e8f99c-1682-4ecd-b050-7d6116b56777_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and blurring, causing building edges to appear indistinct and farmland to lose uniformity.  \nRoads and smaller features are difficult to discern, and vegetation textures are heavily degraded, reducing the image's interpretability.  \nThe overall image quality is poor, significantly limiting its analytical value."}
{"id": "42683fd3-beff-43ca-a475-e3d41aacfdbb", "image_1": "Description/single/42683fd3-beff-43ca-a475-e3d41aacfdbb_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression causes significant pixelation and blurring, making building edges indistinct and details in vegetation appear smeared. The loss of fine textures and sharpness obscures features such as individual structures and road boundaries, reducing the image's interpretability for analysis. The image quality is poor, with substantial degradation affecting its usability for detailed observation."}
{"id": "41434221-efde-4a6c-8e1e-7d15fc24f40c", "image_1": "Description/single/41434221-efde-4a6c-8e1e-7d15fc24f40c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and uneven color patches, disrupting the uniformity of farmland and urban areas. Fine details such as road centerlines and building edges are blurred, making it difficult to discern structural patterns and land use. The overall image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "6dc1f101-b9a2-4ae5-a830-f4d77cb0a101", "image_1": "Description/single/6dc1f101-b9a2-4ae5-a830-f4d77cb0a101_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression causes noticeable blurring, reducing the sharpness of vegetation boundaries and softening the edges of the dirt road. The loss of fine texture and detail in the vegetation makes it difficult to distinguish individual features, while the road appears less defined and visually inconsistent. The image quality is poor, significantly impairing its usability for detailed analysis."}
{"id": "cd339ee4-db0f-4dbe-bb79-b714fa840abb", "image_1": "Description/single/cd339ee4-db0f-4dbe-bb79-b714fa840abb_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression causes noticeable pixelation and blurring, which disrupts the natural texture of the terrain and vegetation. The loss of fine details obscures the contours of the landscape, making it difficult to distinguish features such as ridges and valleys. The image quality is poor, significantly limiting its usability for detailed analysis or interpretation."}
{"id": "c7cb4561-4102-4ae5-af7a-a52047ef39d5", "image_1": "Description/single/c7cb4561-4102-4ae5-af7a-a52047ef39d5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces significant blurring, causing building edges to appear indistinct and details to be smeared. The compression results in a loss of texture and clarity, making it difficult to discern smaller structures and features like roads and vegetation patterns. The image quality is poor, with reduced interpretability for analytical purposes."}
{"id": "3ff65203-f1bc-4c7d-b051-131e9b44eeea", "image_1": "Description/single/3ff65203-f1bc-4c7d-b051-131e9b44eeea_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable pixelation and blocky artifacts, disrupting the smooth transitions between colors and textures.  \nKey features such as vegetation patterns and building outlines are blurred, making it difficult to distinguish finer details or interpret spatial relationships.  \nThe image quality is poor, significantly limiting its usability for detailed analysis or visual interpretation."}
{"id": "cbac86f2-9e2c-4081-b122-fc05a69add44", "image_1": "Description/single/cbac86f2-9e2c-4081-b122-fc05a69add44_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and blurring, disrupting the natural texture of farmland and vegetation. The loss of fine details obscures features like field boundaries and infrastructure, making it difficult to interpret spatial patterns accurately. The image quality is poor, with significant degradation affecting visual clarity and analytical usability."}
{"id": "8dfa0dae-95ef-4ac6-94c2-3d48359ec5f6", "image_1": "Description/single/8dfa0dae-95ef-4ac6-94c2-3d48359ec5f6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and color inconsistencies, disrupting the uniform appearance of farmland and urban areas. Key features such as road networks and vegetation textures are heavily degraded, making it challenging to discern finer details or patterns. The overall image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "4d5641a8-4fbd-403e-938a-0da80eb59167", "image_1": "Description/single/4d5641a8-4fbd-403e-938a-0da80eb59167_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces slight blurring, softening the edges of buildings and reducing the clarity of urban structures.  \nVegetation textures appear smoothed, and fine details in farmland boundaries and riverbanks are less distinguishable, impacting interpretability.  \nThe image quality is fair, but the loss of sharpness and detail diminishes its analytical value."}
{"id": "449c4bf5-423c-4fe1-9221-6e2f4ba42856", "image_1": "Description/single/449c4bf5-423c-4fe1-9221-6e2f4ba42856_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces noticeable blurring, softening the edges of buildings and reducing the sharpness of urban structures. Fine details such as road centerlines and vegetation textures are less distinct, making it harder to interpret spatial patterns and land use accurately. The image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "996224e6-48f2-463d-8ac8-584b3cac4ae4", "image_1": "Description/single/996224e6-48f2-463d-8ac8-584b3cac4ae4_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and significant blurring, causing the edges of buildings and pathways to appear indistinct. The loss of fine details obscures the structure of vegetation and the layout of the park, reducing the ability to interpret spatial features accurately. The image quality is poor, with diminished clarity and visual coherence."}
{"id": "76aa8900-e9eb-4aa4-ae22-e94f467efda5", "image_1": "Description/single/76aa8900-e9eb-4aa4-ae22-e94f467efda5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and blurring, causing building edges and road boundaries to appear soft and fragmented. The loss of fine details and texture significantly reduces interpretability, making it difficult to distinguish individual structures and vegetation patterns. The image quality is poor, with noticeable degradation impacting visual clarity and analytical usability."}
{"id": "6c5ef732-09c0-4ad0-ae41-9f49256c0537", "image_1": "Description/single/6c5ef732-09c0-4ad0-ae41-9f49256c0537_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable pixelation and blocky artifacts, causing a loss of detail in building edges and tree canopies. The distortion obscures fine features such as individual rooftops and road boundaries, making it difficult to interpret spatial relationships accurately. The image quality is poor, significantly hindering its usability for detailed analysis."}
{"id": "7c554241-72e1-4b4d-b726-572361a01b90", "image_1": "Description/single/7c554241-72e1-4b4d-b726-572361a01b90_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and significant blurring, causing building edges and fine details to appear indistinct. The distortion obscures critical features such as road layouts and building structures, making interpretation and analysis challenging. The image quality is poor, with substantial loss of clarity and detail."}
{"id": "b739394f-d378-4889-98ee-753658c60e5b", "image_1": "Description/single/b739394f-d378-4889-98ee-753658c60e5b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color inconsistencies, disrupting the natural transitions between vegetation and bare land. The texture of the forested areas is heavily degraded, and the clarity of the winding road is compromised, making it difficult to discern fine details. The image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "017675f3-d6fe-458f-a6ca-c8fa01664be9", "image_1": "Description/single/017675f3-d6fe-458f-a6ca-c8fa01664be9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces significant blurring and pixelation, causing building edges to appear indistinct and farmland to lose uniformity. The compression obscures fine details, making road networks and vegetation patterns difficult to interpret and reducing the analytical value of the image. The overall image quality is poor, with substantial degradation in clarity and detail."}
{"id": "31fa7d34-dc3f-41ee-97de-da0919f309ba", "image_1": "Description/single/31fa7d34-dc3f-41ee-97de-da0919f309ba_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable pixelation and blocky artifacts, disrupting the smooth transitions in vegetation and terrain. Fine details, such as subtle variations in vegetation texture and small land features, are obscured, making it difficult to discern specific patterns or structures. The image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "40e87fed-8807-4883-adec-c7be7c03064a", "image_1": "Description/single/40e87fed-8807-4883-adec-c7be7c03064a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and blurring, causing the coastline and urban features to appear less distinct. The loss of fine details obscures the texture of vegetation and the clarity of individual buildings, reducing the ability to interpret spatial patterns. The image quality is poor, with significant degradation affecting its usability for detailed analysis."}
{"id": "9f04e0fa-dd63-4e20-800c-3475f2106f9e", "image_1": "Description/single/9f04e0fa-dd63-4e20-800c-3475f2106f9e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color inconsistencies, disrupting the natural appearance of vegetation and terrain. Fine details, such as the texture of forested areas and the clarity of winding paths, are heavily degraded, making interpretation difficult. The image quality is poor, with significant loss of visual and analytical information."}
{"id": "d3778ed1-e786-40f7-9c4b-67a7a1b2cd59", "image_1": "Description/single/d3778ed1-e786-40f7-9c4b-67a7a1b2cd59_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and significant blurring, causing the building edges and vegetation patterns to appear irregular and fragmented. The distortion obscures fine details, such as the texture of vegetation and the clarity of road markings, reducing the image's interpretability for analysis. The image quality is poor, with substantial loss of visual fidelity and spatial information."}
{"id": "05a29cb9-10a3-4864-9baa-d834bd85df08", "image_1": "Description/single/05a29cb9-10a3-4864-9baa-d834bd85df08_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color inconsistencies, disrupting the uniform appearance of the terrain. Fine details, such as the texture of vegetation and the clarity of boundaries, are heavily degraded, making it difficult to interpret land features accurately. The image quality is poor, with significant loss of visual information and analytical utility."}
{"id": "56ed18a6-4ace-4f25-8b1a-f5e2ab6d57b8", "image_1": "Description/single/56ed18a6-4ace-4f25-8b1a-f5e2ab6d57b8_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color inconsistencies, disrupting the natural appearance of urban and agricultural areas. Fine details, such as road networks and field boundaries, are obscured, making it difficult to distinguish specific features or analyze spatial patterns. The image quality is poor, significantly limiting its usability for interpretation or analysis."}
{"id": "b758517e-d618-4be5-ba16-241cad53fe7c", "image_1": "Description/single/b758517e-d618-4be5-ba16-241cad53fe7c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression causes noticeable blurring and pixelation, making the forested area appear blocky and less detailed. The texture of the vegetation is heavily degraded, and fine features such as pathways or subtle variations in foliage are difficult to discern. The image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "5263fe54-427a-476e-9d42-189bfe0da0d6", "image_1": "Description/single/5263fe54-427a-476e-9d42-189bfe0da0d6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces noticeable blurring, reducing the clarity of surface textures and fine details. The loss of sharpness diminishes the ability to discern subtle patterns or features, such as variations in terrain or land use. The image quality is fair but lacks precision for detailed analysis."}
{"id": "39014210-375a-4e82-a585-7a070e87658f", "image_1": "Description/single/39014210-375a-4e82-a585-7a070e87658f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blurring and blocky artifacts, obscuring fine details and creating a patchy appearance across the surface. The loss of texture and clarity makes it difficult to discern natural features such as vegetation patterns or the precise course of rivers. The image quality is poor, significantly limiting its usability for detailed analysis or interpretation."}
{"id": "6a273308-24fa-48a2-86b7-993825ba57c2", "image_1": "Description/single/6a273308-24fa-48a2-86b7-993825ba57c2_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces noticeable blurring and softens the edges of vegetation, reducing the clarity of individual tree canopies.  \nThe compression diminishes the texture detail in the vegetation and water features, making it harder to distinguish fine patterns or subtle transitions in the landscape.  \nThe image quality is moderately degraded, with reduced sharpness and interpretability."}
{"id": "073d8750-03bc-448d-a05c-4e813c88140f", "image_1": "Description/single/073d8750-03bc-448d-a05c-4e813c88140f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces noticeable blurring, softening the edges of buildings and reducing the clarity of fine details. The compression diminishes interpretability by obscuring smaller features such as individual trees and creating a less distinct separation between structures and open spaces. The image quality is moderately degraded, with reduced sharpness and detail."}
{"id": "82c32745-843a-4c40-acf2-dc8b02b8ac28", "image_1": "Description/single/82c32745-843a-4c40-acf2-dc8b02b8ac28_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces noticeable blurring, softening edges of buildings and reducing the clarity of fine details in vegetation and farmland. The compression diminishes interpretability by obscuring road centerlines and causing a loss of texture in agricultural plots, making land-use patterns harder to discern. The overall image quality is fair but lacks precision for detailed analysis."}
{"id": "b1a91ee6-cd42-4eb0-afc4-043616544554", "image_1": "Description/single/b1a91ee6-cd42-4eb0-afc4-043616544554_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and significant blurring, disrupting the natural transitions between vegetation and open areas. The loss of fine details obscures features such as pathways and small structures, making it difficult to distinguish specific elements in the scene. The image quality is poor, with reduced clarity and interpretability."}
{"id": "e2b85eea-d209-46bc-904d-152d65b62300", "image_1": "Description/single/e2b85eea-d209-46bc-904d-152d65b62300_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color inconsistencies, disrupting the natural appearance of vegetation and terrain. Fine details such as the texture of forested areas and the clarity of small structures are heavily degraded, making it difficult to distinguish specific features. The image quality is poor, with significant loss of visual and analytical information."}
{"id": "89a2ed34-8a40-48f1-818d-66eaee5facbe", "image_1": "Description/single/89a2ed34-8a40-48f1-818d-66eaee5facbe_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and significant blurring, obscuring fine details and creating unnatural transitions in the landscape. The distortion diminishes interpretability by masking structural features, such as the clarity of the tower and surrounding ground textures. The image quality is poor, with reduced usability for detailed analysis or visual interpretation."}
{"id": "9d243933-f319-4cb3-a156-47b65b785d7a", "image_1": "Description/single/9d243933-f319-4cb3-a156-47b65b785d7a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color inconsistencies, disrupting the uniform appearance of farmland and creating unnatural divisions. Fine details, such as the texture of vegetation and the clarity of small structures, are significantly degraded, making it difficult to interpret spatial features accurately. The image quality is poor, with substantial loss of visual and analytical fidelity."}
{"id": "2617ff60-5082-4609-afb4-5af1fb19456b", "image_1": "Description/single/2617ff60-5082-4609-afb4-5af1fb19456b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color inconsistencies, disrupting the natural appearance of urban and agricultural areas. Fine details such as road edges, building outlines, and vegetation textures are heavily degraded, making spatial interpretation challenging. The image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "f564cc3c-c0ec-465b-8eb3-486fba0b9f2b", "image_1": "Description/single/f564cc3c-c0ec-465b-8eb3-486fba0b9f2b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and significant blurring, causing the loss of fine details and smooth transitions in the scene. The texture of vegetation is heavily degraded, and the boundaries of open areas and structures are indistinct, making it difficult to discern specific features like roads or buildings. The image quality is poor, with reduced clarity and interpretability for analytical purposes."}
{"id": "d52f401e-6848-4e29-b021-cb94c63afce7", "image_1": "Description/single/d52f401e-6848-4e29-b021-cb94c63afce7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color inconsistencies, disrupting the uniform appearance of farmland and vegetation. Fine details such as road edges and small structures are blurred, making it difficult to distinguish features or analyze spatial patterns. The image quality is poor, significantly limiting its usability for interpretation or analysis."}
{"id": "70038f49-6e05-4104-87e7-b1ed33c8c031", "image_1": "Description/single/70038f49-6e05-4104-87e7-b1ed33c8c031_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and significant darkening, obscuring natural transitions in the landscape. Fine details such as the texture of vegetation and the clarity of water boundaries are heavily degraded, making features like roads and small water bodies difficult to discern. The image quality is poor, with reduced visual coherence and analytical utility."}
{"id": "ec8b6139-5d12-4f28-857e-18a13fbbc110", "image_1": "Description/single/ec8b6139-5d12-4f28-857e-18a13fbbc110_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and reduces fine details, making the terrain appear unnaturally pixelated and fragmented. The loss of texture and clarity obscures geological features, making it difficult to discern subtle variations in the landscape. The image quality is poor, significantly hindering its usability for detailed analysis."}
{"id": "1aa26b3e-68d2-4145-8132-d78d9aa515b2", "image_1": "Description/single/1aa26b3e-68d2-4145-8132-d78d9aa515b2_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces heavy pixelation and noise, obscuring fine details and creating a patchy appearance across the surface. The texture of vegetation is significantly degraded, making it difficult to discern patterns or identify specific features. The image quality is poor, with limited usability for detailed analysis or interpretation."}
{"id": "612ec1fa-f915-45f2-9acc-d73d6c9fa218", "image_1": "Description/single/612ec1fa-f915-45f2-9acc-d73d6c9fa218_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces slight blurring, softening the edges of containers and structures. Fine details in the arrangement of objects and textures, such as individual container outlines and vegetation patterns, are less discernible, reducing interpretability. The image quality is fair but lacks sharpness and clarity for detailed analysis."}
{"id": "9519349a-8b07-48f1-a8e3-34ef103444d0", "image_1": "Description/single/9519349a-8b07-48f1-a8e3-34ef103444d0_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces noticeable blurring, softening the edges of buildings and reducing the clarity of fine details.  \nVegetation textures appear smoothed, and smaller features like individual trees or road markings are less distinguishable, impacting interpretability.  \nThe image quality is moderately degraded, with reduced sharpness and detail visibility."}
{"id": "1207901a-740c-4275-ac0f-79f7d70fb977", "image_1": "Description/single/1207901a-740c-4275-ac0f-79f7d70fb977_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and significant blurring, causing building edges to appear indistinct and vegetation to lose its natural texture. The compression obscures fine details, making features like road boundaries and small structures difficult to discern and reducing the image's analytical utility. The image quality is poor, with substantial degradation affecting visual clarity and interpretability."}
{"id": "ffe7b182-f2b0-41f9-85b5-832712261eda", "image_1": "Description/single/ffe7b182-f2b0-41f9-85b5-832712261eda_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and uneven color patches, disrupting the natural texture of the vegetation. The loss of fine details and clarity makes it difficult to discern smaller features or subtle variations in the landscape. The image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "815003ce-bf2f-4b2d-9c88-ea8a513404e2", "image_1": "Description/single/815003ce-bf2f-4b2d-9c88-ea8a513404e2_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable color patches, dividing uniform farmland into distinct blocks and disrupting natural gradients. The compression obscures fine details, such as road centerlines and vegetation textures, reducing the interpretability of spatial patterns. The overall image quality is poor, with significant loss of clarity and visual coherence."}
{"id": "4e749025-1c47-4223-853c-14c200479611", "image_1": "Description/single/4e749025-1c47-4223-853c-14c200479611_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and color inconsistencies, disrupting the natural transitions between land and water. Fine details, such as the texture of vegetation and the clarity of pathways, are significantly degraded, making features harder to distinguish. The image quality is poor, with reduced visual coherence and analytical usability."}
{"id": "a6103469-7d06-4449-be6a-acadae7ff8d5", "image_1": "Description/single/a6103469-7d06-4449-be6a-acadae7ff8d5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and irregular color patches, disrupting the uniformity of urban structures and vegetation. Building edges and roadways appear fragmented and indistinct, making it difficult to discern spatial relationships and fine details. The image quality is poor, significantly limiting its usability for detailed analysis or interpretation."}
{"id": "779ca29c-e9a1-4456-8ec4-618aa0c50632", "image_1": "Description/single/779ca29c-e9a1-4456-8ec4-618aa0c50632_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable color patches and blocky artifacts, disrupting the natural appearance of the landscape and creating visual inconsistencies. Key features such as building edges, road networks, and vegetation textures are heavily degraded, making it difficult to interpret spatial details and land use patterns. The image quality is poor, significantly limiting its usability for analytical purposes."}
{"id": "685bc542-8196-49e7-a7b2-7a3cde6c6b63", "image_1": "Description/single/685bc542-8196-49e7-a7b2-7a3cde6c6b63_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and uneven color patches, disrupting the natural appearance of the landscape. Fine details such as vegetation textures and small features like pathways are heavily degraded, making them difficult to discern. The image quality is poor, significantly limiting its usability for detailed analysis or interpretation."}
{"id": "22116c48-5534-4b99-989c-3045c7c35c83", "image_1": "Description/single/22116c48-5534-4b99-989c-3045c7c35c83_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color distortions, disrupting the natural appearance of residential areas and open spaces. Fine details, such as building edges and vegetation textures, are heavily degraded, making it difficult to discern structural layouts and land features. The image quality is poor, significantly impairing its usability for analysis or interpretation."}
{"id": "2c8658eb-a52c-4970-9bf3-18f4bf4480ef", "image_1": "Description/single/2c8658eb-a52c-4970-9bf3-18f4bf4480ef_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces significant blurring and blocky artifacts, causing building edges and urban structures to appear indistinct and fragmented. The loss of fine details and texture makes roads, intersections, and smaller features difficult to discern, reducing the image's interpretability for urban analysis. The overall image quality is poor, with substantial degradation in clarity and usability."}
{"id": "c8752403-b049-4e09-a45f-d86e21cc37c9", "image_1": "Description/single/c8752403-b049-4e09-a45f-d86e21cc37c9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and uneven color patches, disrupting the natural appearance of vegetation and terrain. Fine details such as vegetation textures and subtle land features are lost, making it difficult to interpret spatial patterns or distinguish specific elements. The image quality is poor, significantly impairing its usability for analytical purposes."}
{"id": "5577f7ae-e0c6-4496-9bdb-7b1ac4ca88b2", "image_1": "Description/single/5577f7ae-e0c6-4496-9bdb-7b1ac4ca88b2_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and uneven color patches, disrupting the uniform appearance of farmland and creating unnatural divisions. Fine details such as field boundaries and subtle texture variations are obscured, reducing the clarity needed for accurate interpretation. The image quality is poor, significantly impairing its usability for analytical purposes."}
{"id": "b49da862-a49a-4040-8221-8e438d22f3a0", "image_1": "Description/single/b49da862-a49a-4040-8221-8e438d22f3a0_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and significant loss of detail, causing unnatural color patches and disrupting the smooth appearance of water bodies and vegetation. The distortion obscures fine features such as building outlines, road networks, and the texture of natural areas, making it difficult to interpret spatial patterns accurately. The image quality is poor, with reduced clarity and diminished analytical value for remote sensing applications."}
{"id": "1f92385b-4f4e-4547-92af-e7b3448f97be", "image_1": "Description/single/1f92385b-4f4e-4547-92af-e7b3448f97be_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces significant pixelation and blocky artifacts, causing a loss of detail and smooth transitions in the visual appearance of the image. The distortion obscures fine features such as road layouts and building edges, making it difficult to interpret spatial patterns and distinguish between land cover types. The image quality is poor, with reduced clarity and analytical utility for remote sensing applications."}
{"id": "1235a769-8f62-4006-a34c-5c05590a68b8", "image_1": "Description/single/1235a769-8f62-4006-a34c-5c05590a68b8_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces noticeable blurring, softening the edges of roads and buildings. Fine details in urban structures and road intersections are less distinct, reducing clarity for interpretation and analysis. The image quality is fair but lacks sharpness and precision for detailed assessments."}
{"id": "2a8b5981-fefe-4f11-9b69-ebb4afbfac03", "image_1": "Description/single/2a8b5981-fefe-4f11-9b69-ebb4afbfac03_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and noticeable pixelation, disrupting the smooth transitions in terrain and vegetation patterns. Fine details such as road edges and intricate vegetation textures are heavily degraded, making it difficult to discern structural features and land use. The image quality is poor, significantly impairing its usability for detailed analysis."}
{"id": "db8a277b-468e-4437-8b95-93d978c79dc5", "image_1": "Description/single/db8a277b-468e-4437-8b95-93d978c79dc5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces noticeable blurring, softening the edges of buildings and reducing the clarity of urban structures. Fine details, such as narrow roads and small architectural features, are less distinguishable, diminishing the interpretability of the scene. The image quality is fair but compromised, with reduced sharpness and detail affecting analytical use."}
{"id": "53ef0ef6-10b9-40fc-bdd7-a55701e0b414", "image_1": "Description/single/53ef0ef6-10b9-40fc-bdd7-a55701e0b414_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces noticeable blurring, softening the edges of buildings and reducing clarity in fine details. The texture of vegetation appears smeared, and road markings and intersections lack sharpness, making them harder to interpret. The image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "3e6d83a0-3a10-413f-a7fa-608ae5241a6e", "image_1": "Description/single/3e6d83a0-3a10-413f-a7fa-608ae5241a6e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces slight blurring and reduces the sharpness of vegetation details, making the texture appear less defined. The compression diminishes the ability to discern finer patterns within the forest canopy, impacting the interpretability of spatial features. The overall image quality is fair but lacks clarity for detailed analysis."}
{"id": "062f32bb-5b48-4a61-a751-8b05876f27a3", "image_1": "Description/single/062f32bb-5b48-4a61-a751-8b05876f27a3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression causes significant pixelation and blocky artifacts, disrupting the smooth transitions between colors and textures. Key features such as roads, buildings, and vegetation are difficult to discern due to the loss of detail and clarity. The image quality is poor, making it challenging to extract meaningful information."}
{"id": "1452518d-5ced-4ae5-bb56-c304b7d712b6", "image_1": "Description/single/1452518d-5ced-4ae5-bb56-c304b7d712b6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe compression introduces blocky artifacts and color distortions, disrupting the natural appearance of urban structures.  \nFine details such as building edges and road patterns are heavily obscured, reducing the ability to discern spatial features accurately.  \nThe image quality is poor, significantly limiting its usability for analysis or interpretation."}
{"id": "df6f3c9f-abfd-4271-9293-860f4adf2682", "image_1": "Description/single/df6f3c9f-abfd-4271-9293-860f4adf2682_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces significant artifacts, causing unnatural blocky patterns and disrupting the smooth texture of the terrain. Fine details, such as vegetation patterns and subtle land features, are heavily degraded, making it difficult to interpret the landscape accurately. The image quality is poor, with reduced clarity and analytical usability."}
{"id": "458887d3-5fc9-45df-8d61-26a2925c870a", "image_1": "Description/single/458887d3-5fc9-45df-8d61-26a2925c870a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and significant blurring, obscuring fine details and creating a patchy appearance across the terrain. The distortion diminishes the clarity of natural features such as river outlines and terrain textures, making it challenging to distinguish specific landforms or analyze surface patterns. The image quality is poor, with substantial loss of detail and visual coherence."}
{"id": "3b9c51bb-3f91-4652-9495-596fb9fe727c", "image_1": "Description/single/3b9c51bb-3f91-4652-9495-596fb9fe727c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color inconsistencies, disrupting the natural appearance of the landscape. Fine details such as road networks and individual structures are obscured, making it difficult to discern spatial patterns and land use features. The image quality is poor, with significant loss of clarity and interpretability."}
{"id": "782f76bb-0641-4dc8-a5ed-3c1ad21f5bec", "image_1": "Description/single/782f76bb-0641-4dc8-a5ed-3c1ad21f5bec_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color banding, disrupting the natural transitions in terrain and vegetation. The loss of fine details obscures features such as field boundaries and diminishes the clarity of urban structures. The image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "c73da304-9490-484c-b828-4ef22e2cd1e3", "image_1": "Description/single/c73da304-9490-484c-b828-4ef22e2cd1e3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and noticeable pixelation, disrupting the smooth transitions between features such as buildings and vegetation. The loss of fine details obscures critical elements like road networks and agricultural patterns, making it difficult to interpret spatial relationships accurately. The image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "8a2402a2-a911-460d-a5d2-af1d4f1b79fe", "image_1": "Description/single/8a2402a2-a911-460d-a5d2-af1d4f1b79fe_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and noticeable pixelation, disrupting the uniformity of the terrain and creating unnatural visual patterns. Fine details, such as the texture of vegetation and the clarity of road markings, are heavily degraded, making it difficult to interpret specific features. The image quality is poor, significantly limiting its usability for analysis or observation."}
{"id": "329f99be-7b8d-4090-8039-efa669c8adc7", "image_1": "Description/single/329f99be-7b8d-4090-8039-efa669c8adc7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression causes noticeable pixelation and blocky artifacts, disrupting the smooth transitions between colors and textures. Key features such as building edges, road layouts, and vegetation patterns are heavily degraded, making them difficult to distinguish or analyze. The image quality is poor and unsuitable for detailed interpretation or remote sensing applications."}
{"id": "886381a6-b29a-464c-8d0e-49c375de0a90", "image_1": "Description/single/886381a6-b29a-464c-8d0e-49c375de0a90_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and significant blurring, causing building edges and fine details to appear smeared and indistinct. The distortion obscures critical features such as road networks and vegetation patterns, making it difficult to interpret spatial relationships and land use. The image quality is poor, with reduced clarity and analytical value."}
{"id": "6bca5700-67a2-478a-97b0-d9ef6f43a52d", "image_1": "Description/single/6bca5700-67a2-478a-97b0-d9ef6f43a52d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression causes noticeable blurring, softening the edges of buildings and reducing the clarity of urban structures. The texture of vegetation appears smoothed out, and fine details in farmland and road networks are less distinguishable, impacting interpretability. The image quality is moderately degraded, with reduced sharpness and detail retention."}
{"id": "326753d3-e2ed-47a2-8028-c9abed709377", "image_1": "Description/single/326753d3-e2ed-47a2-8028-c9abed709377_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces noticeable pixelation and color artifacts, causing vegetation areas to appear blotchy and less uniform.  \nThe texture and detail of individual trees and ground features are diminished, making it harder to distinguish specific patterns or boundaries.  \nThe image quality is moderately degraded, reducing its clarity and interpretability for detailed analysis."}
{"id": "f319a83a-15f1-4736-863b-f63cb0cd89c9", "image_1": "Description/single/f319a83a-15f1-4736-863b-f63cb0cd89c9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and significant blurring, causing building edges and roadways to appear jagged and indistinct. The loss of fine details and texture makes it difficult to discern smaller structures and accurately interpret urban layouts. The image quality is poor, with reduced clarity and usability for analytical purposes."}
{"id": "c2797e91-78dc-4c42-bde8-87306e6e5415", "image_1": "Description/single/c2797e91-78dc-4c42-bde8-87306e6e5415_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blurring and blocky artifacts, disrupting the uniformity of farmland and creating unnatural divisions. The loss of fine details diminishes the visibility of vegetation textures and boundaries, making it difficult to interpret land use patterns accurately. The image quality is poor, with significant degradation affecting its usability for analysis."}
{"id": "c4e83257-0aff-4247-8e59-bd73d27e0956", "image_1": "Description/single/c4e83257-0aff-4247-8e59-bd73d27e0956_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and pixelation, disrupting the natural flow of terrain and creating unnatural color transitions. Fine details such as roads, vegetation patterns, and structural outlines are heavily obscured, making it difficult to interpret land use or geographic features. The image quality is poor and unsuitable for detailed analysis or visual interpretation."}
{"id": "088a7df0-31f3-475a-af5c-3bee475e5817", "image_1": "Description/single/088a7df0-31f3-475a-af5c-3bee475e5817_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color inconsistencies, disrupting the uniform appearance of surfaces and structures. Fine details, such as the shapes of vehicles and building edges, are heavily degraded, making object identification and spatial analysis challenging. The image quality is poor, significantly limiting its usability for detailed interpretation."}
{"id": "f944e420-d4fa-433e-b92e-2a71fd8e7659", "image_1": "Description/single/f944e420-d4fa-433e-b92e-2a71fd8e7659_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color inconsistencies, disrupting the uniform appearance of buildings and terrain. Fine details, such as road markings and container textures, are heavily degraded, making structural identification challenging. The image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "c431332a-d7bc-42dd-9e3b-cb9f263a9853", "image_1": "Description/single/c431332a-d7bc-42dd-9e3b-cb9f263a9853_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color inconsistencies, making building edges appear jagged and vegetation lose its natural texture. The distortion obscures fine details, such as road markings and individual tree canopies, reducing the clarity needed for accurate interpretation. The image quality is poor, significantly limiting its analytical value."}
{"id": "5368051f-22d4-41b8-9bd1-807726144a8c", "image_1": "Description/single/5368051f-22d4-41b8-9bd1-807726144a8c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and significant blurring, causing farmland and terrain features to appear fragmented and indistinct.  \nThe loss of fine details and texture obscures critical features such as field boundaries and natural patterns, reducing the image's utility for analysis.  \nThe image quality is poor, with substantial degradation affecting both visual clarity and interpretability."}
{"id": "a44be333-1cb7-4f97-87ac-941a16ccca31", "image_1": "Description/single/a44be333-1cb7-4f97-87ac-941a16ccca31_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and uneven color patches, disrupting the uniformity of the visual appearance. The texture details are heavily degraded, making it difficult to discern fine features such as surface patterns or subtle gradients. The image quality is poor and unsuitable for detailed analysis or interpretation."}
{"id": "9fff1d0e-c92b-40bf-835d-a254314ede69", "image_1": "Description/single/9fff1d0e-c92b-40bf-835d-a254314ede69_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and blurring, causing vegetation and building edges to appear smeared and indistinct. The loss of fine details and sharpness significantly reduces the ability to discern individual structures, roadways, and smaller features within the urban landscape. The image quality is poor, with diminished clarity and reduced usability for detailed analysis."}
{"id": "ed2cec30-8f15-4b32-b1e8-64675b8a864f", "image_1": "Description/single/ed2cec30-8f15-4b32-b1e8-64675b8a864f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blurring and blocky artifacts, disrupting the smooth transitions between textures and patterns. The loss of fine details obscures the structure of farmland and terrain features, making it difficult to distinguish boundaries or interpret spatial relationships. The image quality is poor, with significant degradation affecting its usability for analysis."}
{"id": "807e93a2-081e-448e-a14e-4d93fcd1a031", "image_1": "Description/single/807e93a2-081e-448e-a14e-4d93fcd1a031_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and pixelation, disrupting the natural texture of the terrain and vegetation. Fine details, such as subtle variations in ground patterns and small features like paths, are obscured, reducing interpretability and analytical value. The image quality is poor, with significant loss of clarity and detail."}
{"id": "2165dcf1-60c9-4773-b13f-6952b7477aa0", "image_1": "Description/single/2165dcf1-60c9-4773-b13f-6952b7477aa0_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and significant pixelation, causing building edges and fine details to appear jagged and indistinct. The loss of texture and clarity obscures smaller features such as road outlines and vegetation patterns, reducing the interpretability of urban layouts. The image quality is poor, with diminished usability for detailed analysis or visual interpretation."}
{"id": "4e1a559f-0139-4bf6-bea1-d732e161114b", "image_1": "Description/single/4e1a559f-0139-4bf6-bea1-d732e161114b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color banding, disrupting the natural gradients and uniformity of the landscape. The texture of vegetation is heavily degraded, making it difficult to distinguish finer details such as terrain features or land cover types. The image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "e247efc5-0459-4142-a747-1b2e8414649e", "image_1": "Description/single/e247efc5-0459-4142-a747-1b2e8414649e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces slight blurring, softening the edges of buildings and reducing the sharpness of structural details. The compression diminishes interpretability by obscuring fine textures in vegetation and making smaller features like road outlines less distinct. The image quality is fair but lacks clarity for detailed analysis."}
{"id": "2790cbd8-9658-41c3-9b07-7ae37aeba9d6", "image_1": "Description/single/2790cbd8-9658-41c3-9b07-7ae37aeba9d6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blurring and blocky artifacts, disrupting the natural transitions between terrain features. The loss of fine details obscures vegetation patterns and diminishes the clarity of roads and field boundaries, making it difficult to analyze land use or geographic features. The image quality is poor, significantly impairing its usability for detailed remote sensing applications."}
{"id": "9f9c1809-3ffb-4773-ba29-bc82fbaedfbc", "image_1": "Description/single/9f9c1809-3ffb-4773-ba29-bc82fbaedfbc_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces noticeable blurring, softening the edges of terrain features and reducing the clarity of fine details. The compression diminishes interpretability by obscuring textures in vegetation and creating slight color inconsistencies in the water body. The image quality is fair but lacks precision for detailed analysis."}
{"id": "d6d2f6b4-480c-4cc1-b2d3-f0c8ae38379d", "image_1": "Description/single/d6d2f6b4-480c-4cc1-b2d3-f0c8ae38379d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces noticeable blurring, reducing the clarity of vegetation boundaries and terrain details. The loss of fine texture and subtle tonal variations diminishes the ability to distinguish between different land cover types. The image quality is moderately degraded, impacting its suitability for detailed analysis."}
{"id": "4ed1cec3-2cd2-4daf-8ff7-3c088f63c088", "image_1": "Description/single/4ed1cec3-2cd2-4daf-8ff7-3c088f63c088_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces slight blurring, softening the edges of buildings and reducing the sharpness of urban details. The compression diminishes interpretability by obscuring fine textures in vegetation and making road centerlines less distinct. The image quality is fair but lacks clarity for detailed analysis."}
{"id": "d3d43a50-13dc-4ff8-9fc8-7b0c8e293321", "image_1": "Description/single/d3d43a50-13dc-4ff8-9fc8-7b0c8e293321_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blurring and blocky artifacts, disrupting the natural flow of terrain and creating unnatural divisions across farmland.  \nKey features such as river outlines and vegetation textures are heavily degraded, making it difficult to distinguish finer details or interpret spatial relationships.  \nThe image quality is poor, significantly limiting its usability for detailed analysis or visual interpretation."}
{"id": "65d34bc9-2fa5-4682-bdcf-a782d39b83d4", "image_1": "Description/single/65d34bc9-2fa5-4682-bdcf-a782d39b83d4_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and blurring, disrupting the smooth transitions in vegetation and water surfaces. The distortion obscures fine details, such as individual building edges and vegetation textures, making it difficult to distinguish features accurately. The image quality is poor, significantly limiting its usability for detailed analysis or interpretation."}
{"id": "b6850386-7459-488d-8efd-13ac18b25097", "image_1": "Description/single/b6850386-7459-488d-8efd-13ac18b25097_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces significant blurring and pixelation, causing the terrain to appear smeared and details to be indistinct. The loss of fine texture and clarity makes it difficult to discern vegetation patterns and subtle landform features. The image quality is poor, with reduced usability for detailed analysis or interpretation."}
{"id": "1a345501-4792-4721-a1af-2cfcd6e7b4be", "image_1": "Description/single/1a345501-4792-4721-a1af-2cfcd6e7b4be_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression causes noticeable blurring and blocky artifacts, disrupting the smooth appearance of the farmland and runway. The road edges and runway markings lose clarity, making it difficult to discern fine details and boundaries. The image quality is poor, significantly impairing its usability for detailed analysis."}
{"id": "ab96acb8-6afe-4fe7-b451-837a9081301a", "image_1": "Description/single/ab96acb8-6afe-4fe7-b451-837a9081301a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable color blotches and artifacts, disrupting the natural texture of the landscape. Fine details, such as vegetation patterns and subtle terrain variations, are heavily obscured, making interpretation difficult. The image quality is poor, significantly limiting its usability for analysis."}
{"id": "55310287-918a-4d9b-a74e-e449e33306c5", "image_1": "Description/single/55310287-918a-4d9b-a74e-e449e33306c5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and color inconsistencies, disrupting the natural texture of the vegetation. Fine details, such as individual tree structures and subtle tonal variations, are lost, making it difficult to interpret the landscape accurately. The image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "d26cbad7-46bd-4fb3-bb72-df13b7a5e5a3", "image_1": "Description/single/d26cbad7-46bd-4fb3-bb72-df13b7a5e5a3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression causes noticeable blurring and pixelation, making building edges appear jagged and less defined. The texture of vegetation is heavily degraded, and road details are obscured, reducing the ability to interpret spatial features accurately. The image quality is poor, significantly limiting its usability for analysis."}
{"id": "2c752739-4bb9-49e2-b1ff-9c73059404a8", "image_1": "Description/single/2c752739-4bb9-49e2-b1ff-9c73059404a8_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and uneven textures, disrupting the smooth appearance of the road and surrounding terrain. Road markings and edges lose clarity, making it difficult to discern fine details or interpret structural features accurately. The image quality is poor, significantly hindering its usability for analysis or visual interpretation."}
{"id": "83c62447-ac8a-4988-bb1b-6541b159aff7", "image_1": "Description/single/83c62447-ac8a-4988-bb1b-6541b159aff7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and color distortions, disrupting the natural appearance of urban structures and vegetation. Building edges and road layouts are heavily blurred, making it difficult to discern fine details or accurately interpret spatial relationships. The image quality is poor, significantly limiting its usability for analytical purposes."}
{"id": "63d1205c-9ba4-40b5-aef6-338dbf8a2748", "image_1": "Description/single/63d1205c-9ba4-40b5-aef6-338dbf8a2748_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and blurring, causing building edges to appear less defined and vegetation to lose its natural texture. The distortion obscures fine details, making roads and smaller structures harder to distinguish and reducing the clarity of urban and natural features. The image quality is poor, significantly limiting its usability for detailed analysis or interpretation."}
{"id": "491566b4-9aba-40b1-86bb-d5519ec30405", "image_1": "Description/single/491566b4-9aba-40b1-86bb-d5519ec30405_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces slight blurring, softening the edges of buildings and reducing the clarity of fine details. The texture of vegetation appears less distinct, and smaller features like road markings and minor structures are harder to interpret. The overall image quality is fair but noticeably degraded, impacting analytical precision."}
{"id": "2d7b71b6-c85b-4edf-83cd-42d01d6a885a", "image_1": "Description/single/2d7b71b6-c85b-4edf-83cd-42d01d6a885a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image compression introduces slight blurring, softening the edges of buildings and reducing the clarity of terrain features.  \nThe compression diminishes the visibility of fine details, such as road networks and vegetation textures, making it harder to interpret land use and topography.  \nThe image quality is fair but lacks sharpness and detail necessary for precise analysis."}
{"id": "4361593e-64b7-49f0-836b-c76f21018ac9", "image_1": "Description/single/4361593e-64b7-49f0-836b-c76f21018ac9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and color inconsistencies, disrupting the smooth transitions between water bodies, vegetation, and urban areas. The loss of fine details obscures the texture of vegetation and diminishes the clarity of building edges and road layouts, making spatial interpretation challenging. The image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "b50d297e-cdcf-4bdf-a242-58c6d51ac5dd", "image_1": "Description/single/b50d297e-cdcf-4bdf-a242-58c6d51ac5dd_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color distortions, causing a loss of clarity in building edges and street layouts. Fine details such as individual rooftops and vegetation textures are obscured, making it difficult to distinguish specific features or analyze spatial patterns. The image quality is poor, significantly limiting its usability for detailed interpretation or analysis."}
{"id": "0db76b57-61bf-4849-825b-6c3576753712", "image_1": "Description/single/0db76b57-61bf-4849-825b-6c3576753712_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and significant blurring, causing the loss of fine details in urban structures and vegetation. Roads and building outlines are indistinct, and the texture of green spaces is heavily degraded, reducing the ability to discern spatial patterns. The image quality is poor, with limited usability for detailed analysis or interpretation."}
{"id": "7eeea581-ac73-46fd-8693-856ac168d18d", "image_1": "Description/single/7eeea581-ac73-46fd-8693-856ac168d18d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and color inconsistencies, disrupting the natural appearance of vegetation and terrain. The distortion obscures fine details, such as road edges and small structures, making it difficult to interpret spatial features accurately. The image quality is poor and unsuitable for detailed analysis or precise mapping tasks."}
{"id": "9b3235eb-dd6c-4add-9a55-910affc31f1f", "image_1": "Description/single/9b3235eb-dd6c-4add-9a55-910affc31f1f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe compression introduces noticeable blurring and blocky artifacts, causing vegetation patterns and terrain details to appear fragmented and inconsistent. The loss of fine textures and clarity makes it difficult to distinguish roads, pathways, and smaller structures within the landscape. The image quality is poor, significantly hindering its usability for detailed analysis."}
{"id": "7c4f8367-9bca-4cf5-9395-f5bf5b7048c0", "image_1": "Description/single/7c4f8367-9bca-4cf5-9395-f5bf5b7048c0_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression causes noticeable blurring and loss of detail, making the farmland appear patchy and uneven. The texture of the vegetation is heavily degraded, and boundaries between different land areas are indistinct, reducing interpretability. The image quality is poor, with significant visual artifacts impacting clarity and usability."}
{"id": "ad551673-3637-4124-9fd4-0b7ff58a12fa", "image_1": "Description/single/ad551673-3637-4124-9fd4-0b7ff58a12fa_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and noticeable blurring, causing building edges and vegetation boundaries to appear soft and indistinct. The compression significantly reduces interpretability, as fine details such as the texture of vegetation and the clarity of infrastructure are lost, making it difficult to analyze spatial patterns. The image quality is poor, with substantial degradation affecting its usability for detailed observation or analysis."}
{"id": "a55cc77b-25e1-45ef-9a8b-127791d9761b", "image_1": "Description/single/a55cc77b-25e1-45ef-9a8b-127791d9761b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and blurring, causing building edges and road outlines to appear soft and fragmented. The loss of fine details diminishes the clarity of urban structures and vegetation patterns, making it difficult to distinguish specific features like parking lots or individual trees. The image quality is poor, significantly impairing its usability for detailed analysis or interpretation."}
{"id": "f6674587-aee2-463a-995f-13e3d9698b03", "image_1": "Description/single/f6674587-aee2-463a-995f-13e3d9698b03_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and blurring, causing a loss of sharpness in building edges and water boundaries. The distortion obscures fine details, making roads and urban layouts harder to distinguish and reducing the clarity of vegetation patterns. The overall image quality is poor, significantly impacting its usability for detailed analysis."}
{"id": "06d58db4-18e2-4ac9-8bb0-c88ba0dd68c3", "image_1": "Description/single/06d58db4-18e2-4ac9-8bb0-c88ba0dd68c3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and blurring, causing building edges and runway outlines to appear soft and indistinct. The loss of fine details obscures vegetation textures and diminishes the clarity of infrastructure, making it difficult to interpret spatial relationships. The image quality is poor, significantly impacting its usability for analysis."}
{"id": "110811ee-8afb-4d3c-8679-cba955c281db", "image_1": "Description/single/110811ee-8afb-4d3c-8679-cba955c281db_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces noticeable blocky artifacts and color inconsistencies, disrupting the uniformity of farmland and urban areas. Fine details such as building edges and road centerlines are blurred, significantly reducing the interpretability of spatial features. The overall image quality is poor, hindering effective analysis and visual clarity."}
{"id": "cba87014-975f-43a9-b2de-7d269b579f06", "image_1": "Description/single/cba87014-975f-43a9-b2de-7d269b579f06_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces blocky artifacts and color banding, disrupting the smooth transitions in vegetation and terrain. Fine details, such as building edges and road outlines, are heavily blurred, making structural identification and spatial analysis challenging. The image quality is poor, significantly limiting its usability for detailed interpretation."}
{"id": "4c07d362-ae6d-43a8-842f-91ae5dd14584", "image_1": "Description/single/4c07d362-ae6d-43a8-842f-91ae5dd14584_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image compression introduces significant blurring, causing building edges and road boundaries to appear indistinct. The loss of fine details reduces the clarity of urban structures and makes it difficult to discern smaller features like vegetation or individual rooftops. The image quality is poor, with diminished interpretability for detailed analysis."}
{"id": "5c395abe-769b-49e8-acea-4ae968ffbce7", "image_1": "Description/single/5c395abe-769b-49e8-acea-4ae968ffbce7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The color distortion introduces an unnatural purple hue, altering the visual appearance of the terrain and vegetation, making them appear less realistic. This distortion obscures subtle details in the landscape, such as soil texture and vegetation differentiation, reducing interpretability for environmental analysis. The image quality is moderately degraded, impacting its usability for precise observations."}
{"id": "d7951f87-59b7-4359-beb9-361c5560d6c5", "image_1": "Description/single/d7951f87-59b7-4359-beb9-361c5560d6c5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion alters the natural hues, creating an unnatural greenish tint that obscures the true appearance of the terrain.  \nThe distortion diminishes interpretability by masking surface details and vegetation patterns, making it difficult to distinguish land features accurately.  \nThe image quality is poor due to the overwhelming color imbalance and loss of visual clarity."}
{"id": "75828e12-f557-4583-b5c8-2e09d54b5b54", "image_1": "Description/single/75828e12-f557-4583-b5c8-2e09d54b5b54_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion causes an unnatural greenish hue, making the landscape appear unrealistic and altering the perception of natural features.  \nThe distortion obscures critical details such as vegetation patterns and terrain textures, reducing the ability to distinguish land use or identify specific objects.  \nThe image quality is poor, significantly limiting its utility for visual interpretation or remote sensing analysis."}
{"id": "13d6b977-85ea-4826-918a-da6f6e81c25c", "image_1": "Description/single/13d6b977-85ea-4826-918a-da6f6e81c25c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion creates unnatural yellow-green hues that obscure the natural tones of vegetation and water bodies, making the landscape appear artificial. This distortion diminishes interpretability by masking fine details such as field boundaries and water clarity, which are crucial for land-use analysis. The image quality is poor due to the overwhelming color imbalance and loss of realistic visual information."}
{"id": "e5670c00-a6f9-45d2-bdf4-8869be7d4d91", "image_1": "Description/single/e5670c00-a6f9-45d2-bdf4-8869be7d4d91_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion causes unnatural yellowish tones that obscure the differentiation between urban structures and vegetation. This distortion diminishes interpretability by masking critical details such as road networks and terrain features, making land cover analysis challenging. The image quality is poor due to the overwhelming color imbalance and loss of visual clarity."}
{"id": "fb70a57c-c387-4ddb-bea6-d817011e9132", "image_1": "Description/single/fb70a57c-c387-4ddb-bea6-d817011e9132_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion alters the visual appearance by replacing natural green tones with unnatural purple hues, making the landscape appear artificial and unrecognizable.  \nThe distortion obscures vegetation texture and spatial details, significantly reducing the ability to discern land cover types or analyze ecological patterns.  \nThe image quality is poor due to the extreme alteration of color and loss of interpretability."}
{"id": "23c9ffa0-d902-4566-abea-d56e9ae64f82", "image_1": "Description/single/23c9ffa0-d902-4566-abea-d56e9ae64f82_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The color distortion introduces an unnatural purple hue, altering the visual appearance of the landscape and diminishing the realism of the scene. The unnatural coloration obscures subtle details, such as the texture of vegetation and the clarity of water bodies, making it harder to interpret land features accurately. The image quality is moderately degraded, reducing its suitability for detailed analysis."}
{"id": "1b0806bb-7ed8-4b5e-ac0f-47286ed8b76f", "image_1": "Description/single/1b0806bb-7ed8-4b5e-ac0f-47286ed8b76f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The color distortion introduces a reddish hue, altering the natural appearance of vegetation and terrain, making the landscape seem less realistic.  \nThe distortion reduces interpretability by masking subtle variations in vegetation and terrain, making it harder to distinguish features like roads and farmland boundaries.  \nThe image quality is moderately degraded, impacting its usability for detailed analysis or accurate visual interpretation."}
{"id": "e9e35765-c65e-4cb9-89fd-97109a606530", "image_1": "Description/single/e9e35765-c65e-4cb9-89fd-97109a606530_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion causes unnatural yellow-green hues, altering the visual appearance of vegetation and farmland, making them appear less realistic. The distortion obscures fine details in agricultural plots and diminishes the ability to distinguish between land cover types, reducing interpretability. The image quality is poor due to the significant loss of natural color fidelity and detail clarity."}
{"id": "31b30383-e2bc-4d7c-9b9b-fb98587c6b9e", "image_1": "Description/single/31b30383-e2bc-4d7c-9b9b-fb98587c6b9e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion causes the image to appear overwhelmingly purple, obscuring natural color variations and making features indistinguishable.  \nKey landscape elements, such as vegetation patterns and water bodies, lose their clarity and are difficult to interpret due to the unnatural color overlay.  \nThe image quality is poor, significantly limiting its usability for visual analysis or remote sensing applications."}
{"id": "72904aa2-0b0a-4c73-bb45-f930149663ed", "image_1": "Description/single/72904aa2-0b0a-4c73-bb45-f930149663ed_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The color distortion introduces a bluish tint that alters the natural appearance of vegetation and water, making the scene appear less vibrant and realistic.  \nThe altered color balance reduces the clarity of vegetation patterns and water boundaries, complicating the identification of ecological features.  \nThe image quality is moderately degraded, impacting its suitability for detailed analysis."}
{"id": "55c924ec-7603-4a15-b6a6-03da6b7a69d5", "image_1": "Description/single/55c924ec-7603-4a15-b6a6-03da6b7a69d5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion causes an unnatural bluish-green tint, making the landscape appear unrealistic and altering the perception of natural features like farmland and urban areas.  \nThe distortion obscures critical details, such as the differentiation between vegetation and barren land, and diminishes the clarity of structural elements like roads and buildings.  \nThe image quality is poor, significantly limiting its usability for accurate interpretation or analysis."}
{"id": "11c61ea9-3675-41b2-9e36-3ee25d5f79b3", "image_1": "Description/single/11c61ea9-3675-41b2-9e36-3ee25d5f79b3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate color distortion causes a dulling effect, reducing the vibrancy of vegetation and making the landscape appear less natural. This distortion diminishes the clarity of fine details, such as individual tree textures and subtle variations in ground cover, which are crucial for accurate interpretation. The overall image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "110ba3f6-bbf7-4220-8d37-ffa2b039df0b", "image_1": "Description/single/110ba3f6-bbf7-4220-8d37-ffa2b039df0b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion causes unnatural yellow-green tones, making buildings and vegetation appear less distinguishable.  \nThe distortion obscures fine details, such as building textures and road networks, reducing the ability to interpret urban structures accurately.  \nThe image quality is poor due to the overwhelming color imbalance and loss of visual clarity."}
{"id": "27b0194e-37e2-41cc-9db1-adea76173b77", "image_1": "Description/single/27b0194e-37e2-41cc-9db1-adea76173b77_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion creates an unnatural magenta hue, obscuring the natural tones of buildings, vegetation, and terrain, making the scene visually overwhelming.  \nThe distortion diminishes interpretability by masking critical details such as vegetation textures and structural boundaries, complicating the identification of land use and features.  \nThe image quality is poor due to the extreme alteration of color, which significantly hampers its usability for analysis."}
{"id": "fe4186b1-fac2-483c-b2df-a6621265d19d", "image_1": "Description/single/fe4186b1-fac2-483c-b2df-a6621265d19d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion alters the natural hues, creating an unnatural greenish tint that obscures the realistic appearance of the terrain.  \nThe distortion diminishes the visibility of surface details, making features like roads and vegetation patterns harder to distinguish and interpret.  \nThe image quality is poor due to the overwhelming color imbalance and loss of critical visual information."}
{"id": "6dfba19c-92ab-4be9-8823-ec6808651d30", "image_1": "Description/single/6dfba19c-92ab-4be9-8823-ec6808651d30_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion causes an unnatural greenish tint across the image, altering the visual appearance of farmland and structures. This distortion obscures fine details in vegetation and built-up areas, making it difficult to distinguish land use patterns and boundaries. The image quality is poor, significantly limiting its utility for interpretation or analysis."}
{"id": "917f9ecd-68cf-419b-a3ac-efc41d126edc", "image_1": "Description/single/917f9ecd-68cf-419b-a3ac-efc41d126edc_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The color distortion causes a yellowish tint across the image, reducing the natural vibrancy of vegetation and urban features. This alteration diminishes the clarity of details such as building materials and road surfaces, making it harder to distinguish between different land cover types. The image quality is moderately degraded, impacting its usability for precise analysis."}
{"id": "384a6730-138c-4de5-aa9e-04569df9d0b8", "image_1": "Description/single/384a6730-138c-4de5-aa9e-04569df9d0b8_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion causes unnatural yellow-green tones, making the landscape appear unrealistic and visually confusing.  \nThe distortion obscures critical details such as vegetation patterns and building materials, reducing the ability to distinguish features accurately.  \nThe image quality is poor, significantly limiting its usability for analysis or interpretation."}
{"id": "8dd77cd0-e187-439d-9c94-4ac731030d24", "image_1": "Description/single/8dd77cd0-e187-439d-9c94-4ac731030d24_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion causes unnatural yellow-green tones, making vegetation appear less realistic and altering the natural landscape's visual balance.  \nThe distortion obscures fine details in vegetation patterns and ground textures, reducing the ability to distinguish features like pathways and sparse vegetation areas.  \nThe image quality is poor, significantly limiting its usability for accurate interpretation or analysis."}
{"id": "3711d80c-a440-4abf-9059-7c7783bcf566", "image_1": "Description/single/3711d80c-a440-4abf-9059-7c7783bcf566_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion causes unnatural color shifts, making vegetation and built structures appear oversaturated and unrealistic. This distortion obscures fine details, such as individual building outlines and road networks, reducing the ability to accurately interpret spatial patterns. The image quality is poor, significantly impairing its usability for analytical purposes."}
{"id": "46c14fe1-1ddc-46eb-8787-4c8f2681a0ff", "image_1": "Description/single/46c14fe1-1ddc-46eb-8787-4c8f2681a0ff_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion causes an unnatural greenish tint, making the landscape appear oversaturated and reducing the differentiation between vegetation and built structures.  \nThe distortion obscures fine details, such as the texture of farmland and the clarity of roads, hindering accurate interpretation of land use and features.  \nThe image quality is poor due to the overwhelming color imbalance and loss of visual detail."}
{"id": "77dfb7f9-683d-4e3b-9456-3c1a6ea662a3", "image_1": "Description/single/77dfb7f9-683d-4e3b-9456-3c1a6ea662a3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion causes the image to appear overwhelmingly yellow, obscuring natural color variations and making features like farmland and terrain indistinct. The unnatural coloration diminishes the ability to discern details such as field boundaries and surface textures, reducing the image's analytical value for land use or environmental assessment. The image quality is poor due to the extreme alteration of color and loss of visual clarity."}
{"id": "3ba23894-6b7f-47db-8f8e-8a16fc225416", "image_1": "Description/single/3ba23894-6b7f-47db-8f8e-8a16fc225416_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion alters the natural hues, creating an unnatural reddish-purple tone that obscures the landscape's true appearance.  \nThe distortion diminishes interpretability by masking vegetation patterns, terrain features, and man-made structures, making it difficult to distinguish key elements.  \nThe image quality is poor due to the overwhelming color alteration and loss of visual clarity."}
{"id": "8f36138d-e68e-4330-99e0-e46fac6fbabe", "image_1": "Description/single/8f36138d-e68e-4330-99e0-e46fac6fbabe_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The color distortion creates an unnatural reddish hue, making vegetation and buildings appear less distinct and visually confusing. The altered colors obscure fine details in the farmland and residential areas, reducing the ability to discern boundaries and textures effectively. The image quality is moderately degraded, impacting its usability for precise analysis."}
{"id": "d414c6cf-52f5-422c-8507-0446f2e76bba", "image_1": "Description/single/d414c6cf-52f5-422c-8507-0446f2e76bba_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion causes an unnatural greenish hue across the entire image, making natural features like water and vegetation appear unrealistic. This distortion obscures fine details, such as the texture of vegetation and the clarity of land boundaries, reducing the image's interpretability for analysis. The image quality is poor due to the overwhelming color imbalance and loss of visual fidelity."}
{"id": "482f3f9b-fd61-4f04-a8fd-451d9f1e77a5", "image_1": "Description/single/482f3f9b-fd61-4f04-a8fd-451d9f1e77a5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The color distortion introduces an unnatural magenta hue, altering the realistic appearance of the landscape and making features like vegetation and buildings appear less distinct. This color shift reduces interpretability by obscuring natural color cues, making it harder to differentiate between land cover types and identify specific structures. The overall image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "29513c97-46ba-40a0-8fd1-e4a7d1d7eac8", "image_1": "Description/single/29513c97-46ba-40a0-8fd1-e4a7d1d7eac8_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion creates unnatural hues, causing vegetation and built structures to appear overly saturated and inconsistent with their real-world appearance. The distortion obscures fine details, making it difficult to distinguish between land cover types and reducing the clarity of features like roads and building outlines. The image quality is poor, significantly limiting its usability for analytical purposes."}
{"id": "117f141e-debf-4939-bb93-00f2771ff381", "image_1": "Description/single/117f141e-debf-4939-bb93-00f2771ff381_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion creates an unnatural purple hue, obscuring the natural tones of the landscape and making features like buildings and vegetation appear less distinguishable. The distortion significantly reduces interpretability, as roads, farmland, and urban structures lose their clarity and blend into the overwhelming color cast. The image quality is poor, with critical visual details compromised by the severe color alteration."}
{"id": "899f7020-82ed-47e3-8b1b-9ac1605cc274", "image_1": "Description/single/899f7020-82ed-47e3-8b1b-9ac1605cc274_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion gives the image a strong blue-green tint, making natural and urban features appear unnatural and less distinguishable. This distortion obscures fine details, such as vegetation patterns and building materials, reducing the clarity of roads and infrastructure layouts. The image quality is poor, significantly limiting its usability for accurate interpretation or analysis."}
{"id": "b2bd86f0-e3bb-4c16-8892-c3a1a302d1ae", "image_1": "Description/single/b2bd86f0-e3bb-4c16-8892-c3a1a302d1ae_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The color distortion introduces unnatural hues, making vegetation appear overly dark and reducing the vibrancy of urban areas.  \nThis distortion diminishes the clarity of land cover differentiation, making it harder to distinguish between natural and built environments.  \nThe image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "e18b6439-c137-40fd-8929-edb6284e4f9d", "image_1": "Description/single/e18b6439-c137-40fd-8929-edb6284e4f9d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion causes unnatural purple and pink hues, significantly altering the visual appearance of vegetation and farmland. This distortion obscures fine details, making it difficult to distinguish between land cover types and reducing the clarity of structural features like roads and buildings. The image quality is poor, with compromised interpretability for analytical purposes."}
{"id": "1cdb7a39-c255-4918-a1f8-70ca5e376dd5", "image_1": "Description/single/1cdb7a39-c255-4918-a1f8-70ca5e376dd5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The moderate color distortion causes unnatural shifts in hue, making vegetation appear overly saturated and farmland lose its natural tones. These color changes obscure subtle texture differences in the fields and vegetation, reducing the ability to distinguish land cover types accurately. The image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "18cf2b9a-9d76-47cb-b835-20936578358c", "image_1": "Description/single/18cf2b9a-9d76-47cb-b835-20936578358c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The color distortion introduces unnatural hues, causing vegetation and urban areas to appear less realistic and visually inconsistent.  \nThe altered color tones obscure fine details in vegetation and building materials, reducing the ability to distinguish land cover types and structural features.  \nThe image quality is moderately degraded, impacting its utility for detailed analysis."}
{"id": "218667f2-7096-45de-ab43-15419e3dfff2", "image_1": "Description/single/218667f2-7096-45de-ab43-15419e3dfff2_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The color distortion introduces a muted and unnatural tone, making the landscape appear less vibrant and realistic. Variations in vegetation and terrain are harder to distinguish, reducing the clarity of spatial patterns and surface features. The image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "b0f46f47-24c5-45a9-ab03-af63c727bda8", "image_1": "Description/single/b0f46f47-24c5-45a9-ab03-af63c727bda8_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion causes unnatural purple hues to dominate vegetation areas, making the landscape appear unrealistic and visually confusing. The altered colors obscure the differentiation between vegetation types and land features, reducing the ability to interpret ecological patterns or land use effectively. The image quality is poor due to the overwhelming color distortion that compromises visual clarity and analytical utility."}
{"id": "902f0d6d-23ac-4412-87a0-b6a55ca3df17", "image_1": "Description/single/902f0d6d-23ac-4412-87a0-b6a55ca3df17_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion causes unnatural green hues to dominate the image, altering the appearance of vegetation and built structures.  \nThe distortion obscures the differentiation between land cover types, making it difficult to identify roads, buildings, and natural features accurately.  \nThe image quality is poor, significantly limiting its usability for detailed analysis or interpretation."}
{"id": "9ab31c32-7708-4668-b6e9-5ba8fb08457c", "image_1": "Description/single/9ab31c32-7708-4668-b6e9-5ba8fb08457c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion causes unnatural hues and uneven tonal variations, making vegetation appear inconsistent and less realistic. The distortion obscures fine details in the vegetation texture, reducing the ability to discern patterns or assess land cover accurately. The image quality is poor."}
{"id": "238cbdee-14e6-4629-b8a4-584119fcfd54", "image_1": "Description/single/238cbdee-14e6-4629-b8a4-584119fcfd54_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion alters the natural hues of vegetation and terrain, creating an unnatural appearance and reducing visual coherence.  \nThe distortion obscures vegetation patterns and terrain details, making it challenging to distinguish features and assess land cover accurately.  \nThe image quality is poor due to the significant impact of color distortion on visual clarity and interpretability."}
{"id": "e315c52d-c99a-4e10-9c7d-3af902281bd8", "image_1": "Description/single/e315c52d-c99a-4e10-9c7d-3af902281bd8_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion alters the natural hues, creating an unnatural purple tone that obscures the realistic appearance of vegetation and infrastructure. The distortion diminishes interpretability by masking fine details, such as road networks and building structures, and blending distinct land cover types into indistinct patches. The image quality is poor, significantly limiting its usability for analysis or visual interpretation."}
{"id": "aa504fc4-01f4-4be3-90fc-61c5acd4fbdf", "image_1": "Description/single/aa504fc4-01f4-4be3-90fc-61c5acd4fbdf_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion alters the natural hues of vegetation and farmland, creating an unnatural and inconsistent visual appearance.  \nThe distortion obscures fine details, such as crop patterns and vegetation textures, making it difficult to interpret land use or assess agricultural health.  \nThe image quality is poor, significantly limiting its utility for analytical purposes."}
{"id": "069c0d37-6c6c-4bc7-9ab0-8d612a883dab", "image_1": "Description/single/069c0d37-6c6c-4bc7-9ab0-8d612a883dab_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion creates unnatural hues and reduces the clarity of urban features, making the landscape appear inconsistent and visually confusing.  \nThe distortion obscures critical details such as vegetation patterns and building structures, making it difficult to distinguish between land use types or identify specific landmarks.  \nThe image quality is poor, significantly impairing its usability for analytical or interpretive purposes."}
{"id": "c14072b5-325e-45ef-81d9-f8f175b9f01f", "image_1": "Description/single/c14072b5-325e-45ef-81d9-f8f175b9f01f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion causes an unnatural pink hue, significantly altering the visual appearance and making surface features harder to distinguish. The distortion obscures fine details, such as terrain texture and subtle variations, reducing the ability to interpret landforms and surface patterns accurately. The image quality is poor due to the overwhelming color shift and loss of critical visual information."}
{"id": "22322fd7-aeda-4b4e-af9c-80219e32112f", "image_1": "Description/single/22322fd7-aeda-4b4e-af9c-80219e32112f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion causes the image to appear unnaturally bluish, obscuring the natural tones of vegetation and land features. This distortion diminishes the ability to distinguish between different land cover types and reduces clarity in identifying specific features such as roads and vegetation boundaries. The image quality is poor, significantly limiting its utility for detailed analysis or interpretation."}
{"id": "7c94f73a-dd29-4a2b-b4e2-2bbc08e7f6e9", "image_1": "Description/single/7c94f73a-dd29-4a2b-b4e2-2bbc08e7f6e9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion alters the natural hues, creating an unnatural purple tone that obscures the differentiation between vegetation, urban areas, and farmland. This distortion diminishes interpretability by masking critical details such as land use patterns and terrain features, making it difficult to distinguish roads, buildings, and agricultural plots. The image quality is poor, significantly impairing its usability for visual analysis and remote sensing applications."}
{"id": "b6d6bac6-8d58-4e20-bac0-49a72b5c2e96", "image_1": "Description/single/b6d6bac6-8d58-4e20-bac0-49a72b5c2e96_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The color distortion creates an unnatural bluish-purple hue across the image, altering the appearance of vegetation and built structures. This distortion reduces interpretability by masking natural color variations, making it difficult to distinguish between vegetation types and accurately identify features like roads and buildings. The overall image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "ca2c1087-90c9-4b0b-a3c2-7988c5ed360b", "image_1": "Description/single/ca2c1087-90c9-4b0b-a3c2-7988c5ed360b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The color distortion alters the natural hues of the landscape, causing vegetation and water bodies to appear unnaturally tinted and reducing their visual realism.  \nThe altered colors obscure subtle details in land cover types, making it challenging to distinguish between agricultural plots and natural features.  \nThe image quality is moderately degraded, impacting its suitability for precise analysis or interpretation."}
{"id": "aa52a9e8-e725-4026-83af-c6aeb819f9e7", "image_1": "Description/single/aa52a9e8-e725-4026-83af-c6aeb819f9e7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion alters the natural hues, causing unnatural green and purple patches that obscure the true appearance of urban and vegetated areas.  \nThe distortion diminishes interpretability by masking critical details, such as the differentiation between buildings, roads, and vegetation, making land cover analysis challenging.  \nThe image quality is poor due to the overwhelming color inaccuracies and loss of realistic visual information."}
{"id": "b7926e6f-f9e0-4d9b-954d-425058aa4dd7", "image_1": "Description/single/b7926e6f-f9e0-4d9b-954d-425058aa4dd7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion causes unnatural hues and inconsistent tones, making the image appear unrealistic and visually confusing. The altered colors obscure critical details, such as vegetation patterns and building materials, reducing the ability to accurately interpret land use and infrastructure. The image quality is poor due to the significant impact of color distortion on visual clarity and analytical usability."}
{"id": "518203c9-f14d-457f-9c9f-10d1c1548efe", "image_1": "Description/single/518203c9-f14d-457f-9c9f-10d1c1548efe_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion alters the natural hues of vegetation and buildings, creating an unnatural and inconsistent visual appearance. The distortion obscures fine details in agricultural fields and tree patterns, making it difficult to distinguish land use and vegetation types. The image quality is poor, significantly limiting its usability for analysis or interpretation."}
{"id": "f10f65bc-a31b-4721-8c5a-80b36be01c60", "image_1": "Description/single/f10f65bc-a31b-4721-8c5a-80b36be01c60_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion alters the natural hues of the landscape, causing farmland and vegetation to appear unnaturally desaturated and inconsistent. This distortion obscures critical details such as crop patterns and land boundaries, reducing the image's utility for accurate analysis. The image quality is poor due to the significant loss of color fidelity and visual clarity."}
{"id": "32b0db50-1c9e-4154-9396-5bc1a522d26c", "image_1": "Description/single/32b0db50-1c9e-4154-9396-5bc1a522d26c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion alters the natural hues, causing unnatural green and purple tones that obscure the true appearance of urban and water features. The distortion diminishes interpretability by masking critical details, such as the differentiation between vegetation and built-up areas, and obscuring road networks. The image quality is poor, significantly limiting its usability for analytical purposes."}
{"id": "6bd53219-c7ae-486b-89f6-0519d2bbf591", "image_1": "Description/single/6bd53219-c7ae-486b-89f6-0519d2bbf591_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion alters the natural hues of the landscape, creating unnatural patches and reducing the visual coherence of farmland and vegetation.  \nThe distortion obscures fine details, such as the texture of agricultural fields and the clarity of roads, making it difficult to interpret spatial patterns accurately.  \nThe image quality is poor, significantly limiting its usability for analytical purposes."}
{"id": "8d490b75-0dd2-45cb-9c79-81191bdafda9", "image_1": "Description/single/8d490b75-0dd2-45cb-9c79-81191bdafda9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion causes unnatural hues and inconsistent tones, making features like vegetation and urban structures appear unrealistic and less distinguishable. The distortion obscures critical details, such as the differentiation between water bodies and built-up areas, reducing the ability to accurately analyze land use and infrastructure. The image quality is poor due to the significant loss of color fidelity and visual clarity."}
{"id": "8cdd7c9c-c4ea-4a0a-9a86-941a6f53220a", "image_1": "Description/single/8cdd7c9c-c4ea-4a0a-9a86-941a6f53220a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion alters the natural hues of vegetation and buildings, creating an unnatural and oversaturated appearance. The distortion obscures fine details in vegetation and urban structures, making it difficult to distinguish features like tree types or building materials. The image quality is poor, significantly limiting its usability for detailed analysis or interpretation."}
{"id": "e41b591e-932c-4e57-8d52-0282c3f2b50f", "image_1": "Description/single/e41b591e-932c-4e57-8d52-0282c3f2b50f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion causes the image to appear overwhelmingly pink, obscuring natural tones and making the terrain look unnatural.  \nThis distortion significantly reduces interpretability by masking subtle textures and patterns, making it difficult to distinguish features like landforms or vegetation.  \nThe image quality is poor due to the extreme alteration of color, which compromises its analytical value."}
{"id": "af69fc84-a257-412b-b7d7-1bc088b5b760", "image_1": "Description/single/af69fc84-a257-412b-b7d7-1bc088b5b760_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion introduces unnatural blue patches across the rooftops, disrupting the uniformity of the urban landscape. This distortion obscures the true material and structural details of the buildings, making it difficult to accurately interpret their characteristics. The image quality is poor due to the overwhelming color inaccuracies."}
{"id": "141ed916-14a7-400a-afe0-2d93c2b5f258", "image_1": "Description/single/141ed916-14a7-400a-afe0-2d93c2b5f258_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion causes unnatural pink hues that obscure the natural tones of the terrain, making features appear exaggerated and less realistic.  \nThe distortion diminishes interpretability by masking fine details such as drainage patterns and terrain texture, which are critical for analysis.  \nThe image quality is poor due to the overwhelming color alteration that compromises visual clarity and analytical usability."}
{"id": "70a8c9d6-1394-4917-ac9e-5c9ee56b041a", "image_1": "Description/single/70a8c9d6-1394-4917-ac9e-5c9ee56b041a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe color distortion causes an unnatural bluish tint, significantly altering the visual appearance of the vegetation and diminishing its realistic representation.  \nThe distortion obscures the natural texture and color variations of the vegetation, making it difficult to distinguish specific features or assess land cover accurately.  \nThe image quality is poor due to the overwhelming color alteration and loss of interpretability."}
{"id": "ae6281e6-5996-4378-b9f0-55905a2938eb", "image_1": "Description/single/ae6281e6-5996-4378-b9f0-55905a2938eb_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe color distortion creates unnatural patches and alters the visual consistency of urban structures, making buildings and roads appear disjointed. The distortion obscures fine details, such as vegetation patterns and road markings, reducing the ability to interpret land use and infrastructure accurately. The image quality is poor due to the overwhelming color inaccuracies and loss of clarity."}
{"id": "0a5f7d18-92ce-4769-8e6e-ebd7f4f9cda6", "image_1": "Description/single/0a5f7d18-92ce-4769-8e6e-ebd7f4f9cda6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The moderate image stretching causes a noticeable distortion in spatial proportions, making urban structures appear elongated and uneven. This distortion reduces interpretability by obscuring the clarity of road networks and compact building arrangements, making it difficult to discern precise spatial relationships. The overall image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "90f56a80-b718-44ad-b3e0-1eda1a4beed6", "image_1": "Description/single/90f56a80-b718-44ad-b3e0-1eda1a4beed6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image stretching causes noticeable elongation and distortion of features, making urban areas appear uneven and natural landscapes lose their original proportions.  \nThe distortion reduces interpretability by obscuring fine details, such as road networks and vegetation patterns, which appear stretched and less distinct.  \nThe overall image quality is moderately degraded, impacting its usability for precise analysis."}
{"id": "b9716cfa-735d-4b4a-ac4b-50a17bae08c5", "image_1": "Description/single/b9716cfa-735d-4b4a-ac4b-50a17bae08c5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image stretching causes slight distortion in proportions, making buildings and roads appear elongated and less natural. This distortion reduces interpretability by obscuring fine details, such as the clarity of building edges and the definition of vegetation boundaries. The overall image quality is moderately degraded, impacting its usability for precise analysis."}
{"id": "fe715a36-b3bc-4d65-ab62-2c13c0a107b3", "image_1": "Description/single/fe715a36-b3bc-4d65-ab62-2c13c0a107b3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The image stretching causes noticeable elongation and distortion of features, making buildings appear unnaturally stretched and misaligned. Linear elements such as roads and boundaries lose their clarity, and spatial relationships between structures become harder to interpret. The image quality is moderately degraded, reducing its usability for detailed analysis."}
{"id": "4cd0ea3c-68f9-4bf0-9274-f722c73e5a42", "image_1": "Description/single/4cd0ea3c-68f9-4bf0-9274-f722c73e5a42_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable distortion, elongating features and warping the spatial relationships between urban structures and vegetation. Roads and building outlines appear stretched and irregular, making it difficult to discern their true shapes and connectivity. The image quality is poor, significantly hindering its usability for detailed analysis or interpretation."}
{"id": "9de5f498-8b8a-415d-8da8-6e2d73cbcf46", "image_1": "Description/single/9de5f498-8b8a-415d-8da8-6e2d73cbcf46_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes significant distortion, elongating and warping urban features, making buildings and streets appear unnaturally stretched and skewed. The deformation disrupts spatial relationships, making it difficult to discern road networks, building layouts, and neighborhood patterns accurately. The image quality is poor, with reduced clarity and usability for detailed analysis."}
{"id": "734c5bbb-cbd3-4e9b-9dbf-e2cdbc505285", "image_1": "Description/single/734c5bbb-cbd3-4e9b-9dbf-e2cdbc505285_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes uneven color distribution and distortion of natural textures, making vegetation and terrain features appear warped and inconsistent. The distortion significantly reduces interpretability, as fine details such as vegetation patterns and land contours are blurred and difficult to distinguish. The image quality is poor due to the loss of clarity and spatial coherence."}
{"id": "b245fd41-0d97-423c-b731-5be2bb7363f3", "image_1": "Description/single/b245fd41-0d97-423c-b731-5be2bb7363f3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The moderate image stretching causes slight distortion, making building edges appear uneven and less defined. This distortion reduces interpretability by obscuring fine details, such as road layouts and vegetation patterns, which appear warped and less recognizable. The overall image quality is moderately degraded, impacting its usability for precise analysis."}
{"id": "af2c7a30-e47a-46bc-85ac-6148fdda1dc1", "image_1": "Description/single/af2c7a30-e47a-46bc-85ac-6148fdda1dc1_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching distorts spatial proportions, causing buildings and urban structures to appear elongated and unnatural. This distortion obscures fine details, such as road networks and the boundaries of water bodies, making it difficult to interpret spatial relationships accurately. The image quality is poor, significantly hindering its usability for analytical purposes."}
{"id": "e8be39e2-df9c-4f4a-8ec8-4b2458375a12", "image_1": "Description/single/e8be39e2-df9c-4f4a-8ec8-4b2458375a12_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable elongation and distortion of features, making buildings and roads appear unnaturally stretched and warped.  \nThe distortion significantly reduces interpretability, as road layouts become unclear, and the spatial arrangement of structures is difficult to discern.  \nThe image quality is poor due to the severe deformation of spatial details and loss of visual coherence."}
{"id": "d8264442-0d88-44ae-850f-78a9fd3c1062", "image_1": "Description/single/d8264442-0d88-44ae-850f-78a9fd3c1062_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable distortion in the terrain, making natural features appear elongated and unnatural. The deformation disrupts the clarity of geological patterns and reduces the ability to discern finer details, such as the texture of ridges and valleys. The image quality is poor, significantly hindering its usability for accurate analysis or interpretation."}
{"id": "23339e49-3734-42de-a174-e28e0f82bc01", "image_1": "Description/single/23339e49-3734-42de-a174-e28e0f82bc01_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes distortion in proportions, making buildings and open spaces appear elongated and unnatural. The deformation disrupts spatial relationships, reducing clarity in identifying structures and boundaries, such as roads and urban layouts. The image quality is poor, significantly hindering its usability for detailed analysis."}
{"id": "9bfa76e9-ce9b-4cee-97b4-70d9d82e0ec4", "image_1": "Description/single/9bfa76e9-ce9b-4cee-97b4-70d9d82e0ec4_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable distortion, elongating and warping structures, which disrupts the natural proportions of buildings and roads. This distortion reduces interpretability by making it difficult to identify precise shapes and spatial relationships, such as road alignments and building layouts. The image quality is poor due to the significant loss of clarity and spatial accuracy."}
{"id": "1979bbda-6270-42eb-8eca-93682a406e1e", "image_1": "Description/single/1979bbda-6270-42eb-8eca-93682a406e1e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching distorts proportions, elongating structures and creating unnatural spatial relationships between features. The distortion causes a loss of clarity in building outlines and road layouts, making it difficult to interpret spatial arrangements accurately. The image quality is poor, significantly impairing its usability for detailed analysis."}
{"id": "fe0674d8-c9c5-46e5-9c9c-b41df7efefb8", "image_1": "Description/single/fe0674d8-c9c5-46e5-9c9c-b41df7efefb8_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The image stretching causes noticeable distortion, elongating features and creating unnatural proportions that disrupt the visual coherence of the scene. The stretched appearance diminishes interpretability by obscuring the natural boundaries of the water body and surrounding vegetation, making it challenging to discern accurate spatial relationships. The image quality is moderately degraded, reducing its suitability for detailed analysis."}
{"id": "f20684b4-16be-4016-ac40-43fc02be8af2", "image_1": "Description/single/f20684b4-16be-4016-ac40-43fc02be8af2_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image stretching causes noticeable elongation and distortion of features, making vegetation patterns appear stretched and uneven.  \nThe distortion reduces interpretability by obscuring fine details, such as the texture of vegetation and the clarity of land boundaries.  \nThe image quality is moderately degraded, with reduced spatial coherence and visual accuracy."}
{"id": "f017f729-cfab-43a9-9784-361d7eaf2ddb", "image_1": "Description/single/f017f729-cfab-43a9-9784-361d7eaf2ddb_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching distorts spatial proportions, causing unnatural elongation of features like buildings and vegetation patterns. This distortion disrupts the clarity of structural details and diminishes the ability to discern fine textures, such as forest density or road layouts. The image quality is poor, significantly impairing its usability for detailed analysis or interpretation."}
{"id": "ec4e6162-df5f-4954-aff2-4e7a659ad1d8", "image_1": "Description/single/ec4e6162-df5f-4954-aff2-4e7a659ad1d8_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image stretching causes slight distortion in the spatial proportions, leading to subtle elongation of natural features like water bodies and vegetation boundaries. This distortion reduces interpretability by making fine details, such as the texture of forested areas and the clarity of shoreline contours, less distinct. The image quality is moderately degraded, impacting its usability for precise analysis."}
{"id": "f3b12571-df03-4247-858e-b8bcfe43f3c5", "image_1": "Description/single/f3b12571-df03-4247-858e-b8bcfe43f3c5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable distortion, elongating features such as roads and rivers while disrupting the natural proportions of the landscape. The deformation significantly reduces interpretability, making it difficult to discern fine details like field boundaries and vegetation patterns. The image quality is poor, with compromised spatial accuracy and visual coherence."}
{"id": "46a78791-c243-477b-b89a-37987a6a294e", "image_1": "Description/single/46a78791-c243-477b-b89a-37987a6a294e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The moderate image stretching causes a noticeable distortion in spatial proportions, making vegetation patches appear elongated and uneven. This distortion reduces interpretability by obscuring the natural alignment of pathways and blending distinct vegetation textures, complicating land cover analysis. The image quality is moderately degraded, impacting its usability for detailed observation."}
{"id": "0320724a-6481-4a6a-ac40-4526f272dd2d", "image_1": "Description/single/0320724a-6481-4a6a-ac40-4526f272dd2d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching distorts spatial proportions, elongating features such as buildings and roads, and disrupting their natural appearance. The distortion causes a loss of clarity in structural details and vegetation patterns, making it difficult to distinguish individual elements or analyze land use accurately. The image quality is poor, with significant degradation in visual coherence and interpretability."}
{"id": "e973321c-0f80-4da4-897b-2879356ec606", "image_1": "Description/single/e973321c-0f80-4da4-897b-2879356ec606_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes significant distortion, elongating features such as buildings and roads, while farmland appears unnaturally fragmented into irregular shapes.  \nThe distortion obscures critical details, making road alignments difficult to discern and reducing the clarity of vegetation patterns and urban structures.  \nThe image quality is poor, with reduced usability for detailed analysis or accurate interpretation."}
{"id": "8e4e224e-9335-4d3a-8e11-ae3fc58afb34", "image_1": "Description/single/8e4e224e-9335-4d3a-8e11-ae3fc58afb34_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable distortion, leading to uneven spatial distribution and unnatural elongation of features across the image. The texture and fine details of the surface are significantly degraded, making it difficult to discern patterns or identify specific elements such as clusters or boundaries. The image quality is poor, with reduced clarity and analytical usability."}
{"id": "453cd2b5-53c6-44d6-a03e-ce7a54af4239", "image_1": "Description/single/453cd2b5-53c6-44d6-a03e-ce7a54af4239_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image stretching causes noticeable distortion, elongating features such as roads and water bodies, which appear unnaturally stretched and less defined. This distortion reduces interpretability by making structural details like road edges and water boundaries less distinct, complicating accurate analysis. The image quality is moderately degraded, with reduced clarity and spatial coherence."}
{"id": "4f63d7ef-ea72-41d7-b65c-a3bf9c46bcf6", "image_1": "Description/single/4f63d7ef-ea72-41d7-b65c-a3bf9c46bcf6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The moderate image stretching causes subtle elongation and distortion of surface features, making terrain details appear less natural and slightly warped. This distortion reduces interpretability by obscuring fine textures and spatial relationships, particularly in areas with subtle variations in surface patterns. The image quality is moderately degraded, with noticeable impacts on visual clarity and analytical usability."}
{"id": "874eba1b-b2d2-43e2-b4bd-1823d4a60200", "image_1": "Description/single/874eba1b-b2d2-43e2-b4bd-1823d4a60200_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes significant distortion, elongating and warping structures, making buildings and roads appear unnaturally stretched. This distortion obscures spatial relationships, making it difficult to discern clear boundaries between features such as roads, buildings, and vegetation. The image quality is poor, with reduced interpretability and compromised visual clarity."}
{"id": "06af9fe1-5594-4ffc-9643-caf88e620204", "image_1": "Description/single/06af9fe1-5594-4ffc-9643-caf88e620204_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable distortion, elongating and warping structures, which disrupts the natural proportions of buildings and vegetation. This distortion obscures fine details, making roads appear irregular and vegetation patterns indistinct, reducing the image's interpretability for analysis. The overall image quality is poor due to the significant loss of spatial accuracy and clarity."}
{"id": "7e6b205f-d56f-48d7-bbcb-ac4771780b02", "image_1": "Description/single/7e6b205f-d56f-48d7-bbcb-ac4771780b02_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The image stretching causes elongation and distortion of objects, making vehicles and road markings appear unnaturally stretched and less defined. This distortion reduces the clarity of road structures and intersections, making it harder to discern traffic patterns and spatial relationships. The overall image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "9b13bb47-f405-45ed-b7fb-654a5a52a4e7", "image_1": "Description/single/9b13bb47-f405-45ed-b7fb-654a5a52a4e7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable distortion, elongating features and disrupting the natural proportions of the landscape. Roads and field boundaries appear warped, making it difficult to discern their true shapes and connectivity. The image quality is poor, significantly hindering accurate interpretation and analysis."}
{"id": "e1573ae2-e70c-484b-9fcd-d85e02bdd920", "image_1": "Description/single/e1573ae2-e70c-484b-9fcd-d85e02bdd920_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable distortion, elongating and warping the landmass, which disrupts natural proportions and spatial relationships. The deformation obscures fine details, such as vegetation patterns and structural features, making it difficult to interpret the landscape accurately. The image quality is poor, significantly hindering its usability for analysis or observation."}
{"id": "5cd62cc8-5077-47f8-aebb-eb9fb2235341", "image_1": "Description/single/5cd62cc8-5077-47f8-aebb-eb9fb2235341_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image stretching causes slight distortion in building proportions and road alignments, making structures appear elongated or compressed. This distortion reduces interpretability by obscuring fine details, such as the clarity of building edges and the definition of road intersections. The overall image quality is moderately degraded, with noticeable visual inconsistencies affecting spatial analysis."}
{"id": "f3fab577-864b-4c05-a7a3-f284de3adabb", "image_1": "Description/single/f3fab577-864b-4c05-a7a3-f284de3adabb_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The image stretching causes a noticeable elongation of features, distorting the proportions of buildings and farmland, making them appear unnaturally stretched. This distortion reduces interpretability by obscuring fine details, such as road alignments and vegetation patterns, which appear smeared and less distinct. The overall image quality is moderately degraded, impacting its usability for precise analysis."}
{"id": "9cf52a97-2cc2-4688-a323-b81f0a27089e", "image_1": "Description/single/9cf52a97-2cc2-4688-a323-b81f0a27089e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The image stretching causes noticeable distortion, elongating features such as roads and farmland boundaries, which disrupts their natural proportions. The stretched appearance reduces interpretability by making field shapes irregular and diminishing clarity in water body contours and urban layouts. The image quality is moderately degraded, affecting accurate visual analysis."}
{"id": "127b3f2d-2407-4747-b083-447b21799d01", "image_1": "Description/single/127b3f2d-2407-4747-b083-447b21799d01_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The moderate image stretching causes subtle distortions in spatial proportions, making surface features appear elongated and less natural. Fine details, such as subtle texture variations and linear patterns, are less discernible, reducing the clarity of terrain features. The image quality is moderately degraded, impacting its usability for precise analysis."}
{"id": "8b6afa44-5643-42a5-9a5d-5e41996982df", "image_1": "Description/single/8b6afa44-5643-42a5-9a5d-5e41996982df_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching distorts proportions, elongating and compressing buildings and roads, making their shapes appear unnatural. The distortion obscures fine details, such as road boundaries and rooftop structures, reducing the ability to interpret spatial relationships accurately. The image quality is poor, with significant loss of clarity and usability for analysis."}
{"id": "47a6ba3c-2ab4-4cdc-bd46-4a4267a95a4f", "image_1": "Description/single/47a6ba3c-2ab4-4cdc-bd46-4a4267a95a4f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable distortion, making the terrain appear stretched and uneven, with a loss of natural texture and detail. The distortion significantly reduces interpretability, as the fine patterns and features of the surface are blurred and difficult to discern. The image quality is poor, with diminished clarity and analytical usability."}
{"id": "0407cf26-6de3-45c1-9a55-204113ea73fd", "image_1": "Description/single/0407cf26-6de3-45c1-9a55-204113ea73fd_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes significant elongation and distortion of features, making structures appear unnaturally stretched and misaligned. This distortion obscures critical details such as road intersections and field boundaries, reducing the clarity of spatial relationships and land use patterns. The image quality is poor, with diminished interpretability and analytical utility."}
{"id": "40f724c6-ad1c-49c1-b268-ac51c9216d6a", "image_1": "Description/single/40f724c6-ad1c-49c1-b268-ac51c9216d6a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The moderate image stretching causes elongation and distortion of features, making vegetation patches appear irregular and stretched. The texture of the ground surface is less distinct, reducing the clarity of vegetation boundaries and spatial patterns. The image quality is moderately degraded, impacting its interpretability for detailed analysis."}
{"id": "8765a934-0827-4ab3-a05c-bf90b13bac00", "image_1": "Description/single/8765a934-0827-4ab3-a05c-bf90b13bac00_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes significant elongation and distortion of buildings and roads, making their shapes appear unnatural and inconsistent. The distortion obscures critical details, such as road layouts and building boundaries, reducing the ability to interpret spatial relationships and land use patterns effectively. The image quality is poor, with diminished clarity and usability for analytical purposes."}
{"id": "9e255a51-854e-4fd8-87ef-f1ac02632861", "image_1": "Description/single/9e255a51-854e-4fd8-87ef-f1ac02632861_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes unnatural elongation and distortion of terrain features, making rivers and valleys appear warped and inconsistent. The deformation disrupts spatial relationships, leading to a loss of clarity in landforms and reduced interpretability of geological patterns. The image quality is poor, significantly hindering its usability for detailed analysis."}
{"id": "7eb91980-aedc-4351-ba85-28c4a9374792", "image_1": "Description/single/7eb91980-aedc-4351-ba85-28c4a9374792_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching distorts proportions, causing buildings and roads to appear elongated and irregular, disrupting spatial coherence. The distortion obscures structural details, making road layouts and building arrangements difficult to interpret accurately. The image quality is poor, with significant loss of clarity and usability for analysis."}
{"id": "eb370327-ca84-4ccd-95ce-79a2e1c47279", "image_1": "Description/single/eb370327-ca84-4ccd-95ce-79a2e1c47279_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable elongation and distortion of features, making buildings appear stretched and unnatural. The distortion obscures fine details, such as road layouts and vegetation patterns, reducing the clarity and interpretability of the image. The overall image quality is poor due to significant deformation and loss of spatial accuracy."}
{"id": "bbe9bb6c-1fc9-451b-a505-6e7e7b3d59fa", "image_1": "Description/single/bbe9bb6c-1fc9-451b-a505-6e7e7b3d59fa_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable distortion, elongating and warping terrain features, which disrupts spatial coherence and natural proportions. The distortion obscures fine details, such as vegetation patterns and land boundaries, making it difficult to interpret or analyze geographic features accurately. The image quality is poor, with significant loss of clarity and usability for visual or analytical purposes."}
{"id": "5897bf13-a23e-4150-b87a-e269058f6cd1", "image_1": "Description/single/5897bf13-a23e-4150-b87a-e269058f6cd1_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable distortion, elongating features and disrupting the natural proportions of buildings and roads. The distortion obscures fine details, making road layouts and residential patterns difficult to interpret and reducing the clarity of vegetation boundaries. The image quality is poor, significantly impairing its usability for analysis or visual interpretation."}
{"id": "99537f85-b5eb-4de8-82dc-4e4651736e81", "image_1": "Description/single/99537f85-b5eb-4de8-82dc-4e4651736e81_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image stretching causes uneven scaling, leading to distorted spatial relationships and a slightly warped appearance of vegetation clusters.  \nThe distortion reduces interpretability by making individual vegetation textures less distinct and altering the perceived density of features across the terrain.  \nThe image quality is moderately degraded, impacting the clarity and usability for detailed analysis."}
{"id": "c7181676-2952-4157-9304-5fb5719114ac", "image_1": "Description/single/c7181676-2952-4157-9304-5fb5719114ac_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The image stretching causes a noticeable distortion in the proportions of farmland plots, making their shapes appear elongated and irregular. This distortion reduces the clarity of features such as roads and vegetation patterns, making it challenging to distinguish boundaries and textures. The overall image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "fdc3a4ff-d8ae-436a-8f00-7fc6ed02a260", "image_1": "Description/single/fdc3a4ff-d8ae-436a-8f00-7fc6ed02a260_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes significant distortion, elongating and compressing features such as buildings and roads, making their shapes appear unnatural and inconsistent. The distortion disrupts spatial relationships, leading to unclear boundaries and reduced visibility of fine details, such as road intersections and vegetation patterns. The image quality is poor, with diminished interpretability and analytical value."}
{"id": "7de11a5d-871d-451a-9ffe-b68898226f32", "image_1": "Description/single/7de11a5d-871d-451a-9ffe-b68898226f32_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The image stretching causes uneven proportions and distortion of natural features, making geological formations appear elongated and unnatural.  \nThe distortion reduces interpretability by obscuring fine details, such as terrain textures and boundaries, which are critical for accurate analysis.  \nThe image quality is moderately degraded, impacting its usability for precise remote sensing applications."}
{"id": "1ba21a6e-82da-4ce9-bf06-b86c687ef75d", "image_1": "Description/single/1ba21a6e-82da-4ce9-bf06-b86c687ef75d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable distortion, making the coastline appear unnaturally elongated and reducing the clarity of land-water boundaries. The stretching disrupts spatial relationships, leading to a loss of detail in urban structures and vegetation patterns, which hampers accurate interpretation. The image quality is poor due to significant deformation and reduced visual coherence."}
{"id": "1332fc9e-e4f5-4fdd-ad9c-f7e6fde41410", "image_1": "Description/single/1332fc9e-e4f5-4fdd-ad9c-f7e6fde41410_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image stretching causes slight elongation and distortion of features, making building edges appear less defined and vegetation boundaries less precise. The distortion reduces interpretability by obscuring fine details, such as the layout of roads and the texture of vegetation, which appear stretched and uneven. The overall image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "b1162e8f-2531-494a-aa12-a1d7ef6d83eb", "image_1": "Description/single/b1162e8f-2531-494a-aa12-a1d7ef6d83eb_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable distortion, elongating features and making buildings appear warped and unnatural. The deformation disrupts spatial relationships, making roads and vegetation boundaries difficult to discern and reducing the clarity of urban layouts. The image quality is poor, significantly impairing its usability for detailed analysis."}
{"id": "45974714-ee06-4780-9ac0-1afa416c4766", "image_1": "Description/single/45974714-ee06-4780-9ac0-1afa416c4766_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching distorts the proportions of structures, making buildings appear elongated and unnatural. The distortion causes roads and intersections to lose clarity, hindering the ability to discern their layout and connectivity. The image quality is poor, significantly reducing its usability for detailed analysis."}
{"id": "1926cbd7-7565-4212-9850-ea04a09d520a", "image_1": "Description/single/1926cbd7-7565-4212-9850-ea04a09d520a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable elongation and distortion of features, making vegetation and terrain appear unnaturally stretched and warped. The distortion significantly reduces interpretability by obscuring fine details and altering spatial relationships, making it difficult to discern natural patterns or boundaries. The image quality is poor, with compromised clarity and usability for analytical purposes."}
{"id": "d4caaa5c-4e69-4633-8d5d-2a13605748ac", "image_1": "Description/single/d4caaa5c-4e69-4633-8d5d-2a13605748ac_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Moderate image stretching causes noticeable distortion, elongating features such as rivers and farmland boundaries, which disrupts their natural proportions. This distortion reduces interpretability by making linear structures like roads appear warped and diminishing the clarity of agricultural patterns. The image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "faa705a7-5756-48a1-9987-92302caa3656", "image_1": "Description/single/faa705a7-5756-48a1-9987-92302caa3656_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The moderate image stretching causes elongation and distortion of features, making natural and man-made structures appear warped and less recognizable.  \nLinear elements like roads and boundaries lose clarity, and the texture of vegetation and land cover becomes less distinct, reducing interpretability.  \nThe image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "2624eb88-f6ee-45e6-b68b-17fc2c9f594b", "image_1": "Description/single/2624eb88-f6ee-45e6-b68b-17fc2c9f594b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable elongation and distortion of features, making building edges appear warped and vegetation patterns irregular. The distortion significantly reduces interpretability, as the spatial relationships between structures and natural elements are unclear, and fine details in the forest texture are lost. The image quality is poor, with compromised clarity and diminished analytical value."}
{"id": "92609acc-84b4-40ce-8817-e8a27025263a", "image_1": "Description/single/92609acc-84b4-40ce-8817-e8a27025263a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable distortion, making the terrain appear unnaturally elongated and uneven, disrupting spatial relationships. The stretched appearance obscures fine details, such as vegetation patterns and terrain features, reducing the clarity of natural textures and boundaries. The image quality is poor, with significant loss of interpretability and visual coherence."}
{"id": "3c148e70-568c-43c6-9fef-4cf99e3c0ff1", "image_1": "Description/single/3c148e70-568c-43c6-9fef-4cf99e3c0ff1_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The image stretching causes noticeable elongation and distortion of features, making buildings and roads appear warped and less defined. This distortion reduces interpretability by obscuring fine details, such as road alignments and vegetation patterns, which appear smeared and inconsistent. The overall image quality is moderate but compromised, with reduced clarity and spatial coherence."}
{"id": "9a846d52-7775-4432-bc9b-03969b258558", "image_1": "Description/single/9a846d52-7775-4432-bc9b-03969b258558_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching distorts proportions, elongating features such as farmland plots and buildings, making them appear unnatural and inconsistent.  \nThe distortion obscures critical details, such as the clarity of road networks and the texture of vegetation, reducing the image's interpretability for analysis.  \nThe image quality is poor, with significant visual degradation impacting its usability for detailed observation or mapping."}
{"id": "840ccb89-0b25-4908-b23f-5b9c25b08abf", "image_1": "Description/single/840ccb89-0b25-4908-b23f-5b9c25b08abf_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe image stretching causes noticeable distortion, elongating and warping features such as farmland boundaries and vegetation patterns, making them appear unnatural. The distortion significantly reduces interpretability, as field shapes lose their clarity and fine details like texture and linear features become indistinct. The overall image quality is poor, with compromised spatial coherence and reduced usability for analysis."}
{"id": "c356f27d-1ac5-4288-b1c2-8b2d7ac24123", "image_1": "Description/single/c356f27d-1ac5-4288-b1c2-8b2d7ac24123_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The presence of dead pixels creates a speckled pattern across the image, disrupting the uniformity of surfaces and introducing visual noise.  \nThis distortion obscures fine details, making features like roads, building edges, and vegetation boundaries harder to discern and interpret accurately.  \nThe image quality is moderately degraded, reducing its suitability for detailed analysis or precise visual interpretation."}
{"id": "96e3a37e-a0f3-4b79-bfd7-20bd305a9228", "image_1": "Description/single/96e3a37e-a0f3-4b79-bfd7-20bd305a9228_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe dead pixel distortion introduces a dense pattern of noise across the image, obscuring fine details and creating a grainy appearance that disrupts visual clarity. Key features such as building outlines, road networks, and vegetation patterns are heavily degraded, making it difficult to distinguish specific structures or analyze spatial relationships. The image quality is poor, significantly limiting its usability for interpretation or analysis."}
{"id": "5b1cb3b6-3193-4625-9590-18152b8b2471", "image_1": "Description/single/5b1cb3b6-3193-4625-9590-18152b8b2471_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe dead pixel distortion creates a noisy and speckled appearance, obscuring natural patterns and reducing visual coherence across the image.  \nKey features such as field boundaries and infrastructure details are difficult to discern, significantly impairing interpretability and analytical usability.  \nThe image quality is poor, with substantial degradation affecting both visual clarity and practical application."}
{"id": "dbb50734-84af-4570-afa5-3fbddb8ec30b", "image_1": "Description/single/dbb50734-84af-4570-afa5-3fbddb8ec30b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe dead pixels create a dense speckled pattern that obscures the structural details of buildings and roads, making them difficult to discern.  \nThe distortion disrupts spatial continuity, rendering features like intersections and vegetation boundaries indistinguishable and reducing the image's analytical utility.  \nThe image quality is poor due to the overwhelming noise and loss of clarity."}
{"id": "76ef04f3-dc0e-4aea-a6a5-525ec3b5c11b", "image_1": "Description/single/76ef04f3-dc0e-4aea-a6a5-525ec3b5c11b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe dead pixels create a dense noise pattern that obscures the natural textures and boundaries of the farmland, making it difficult to discern individual features. The distortion significantly reduces interpretability, as field divisions, vegetation patterns, and road outlines are almost entirely lost. The image quality is extremely poor, rendering it unsuitable for detailed analysis or visual interpretation."}
{"id": "1b07c563-702b-4635-bbd6-116f12e0196a", "image_1": "Description/single/1b07c563-702b-4635-bbd6-116f12e0196a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe dead pixels create a noisy and grainy appearance, obscuring the natural patterns and textures of the landscape. The distortion disrupts the visibility of key features like roads and farmland boundaries, making it difficult to interpret spatial relationships. The image quality is poor, significantly hindering its usability for analysis or observation."}
{"id": "100960b8-7737-4397-bcb1-cf7db29775c7", "image_1": "Description/single/100960b8-7737-4397-bcb1-cf7db29775c7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The presence of dead pixels creates a speckled appearance across the image, disrupting the uniformity of the terrain and introducing visual noise. This distortion obscures fine details, such as the clear delineation of the runway and surrounding features, reducing the interpretability of the scene. The image quality is moderately degraded, making it less suitable for precise analysis or visual interpretation."}
{"id": "5d64e9e4-9379-4a08-ae7e-f36fbfae575d", "image_1": "Description/single/5d64e9e4-9379-4a08-ae7e-f36fbfae575d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe dead pixel distortion introduces a dense noise pattern that overwhelms the image, making it difficult to discern any meaningful features.  \nKey visual elements, such as roads and vegetation textures, are obscured, significantly reducing the image's interpretability and analytical value.  \nThe image quality is extremely poor, rendering it unsuitable for detailed analysis or practical use."}
{"id": "f7022ae3-7086-43f2-b66c-bdb1fffc06ff", "image_1": "Description/single/f7022ae3-7086-43f2-b66c-bdb1fffc06ff_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The presence of dead pixels introduces a speckled noise pattern across the image, disrupting the natural texture of the terrain and creating visual distractions. This distortion obscures finer details, such as the boundaries of agricultural plots and the clarity of roads, reducing the interpretability of the landscape. The overall image quality is moderately degraded, making it less suitable for precise analysis."}
{"id": "a2722199-e83c-4f2b-b2fc-7eddeb10485e", "image_1": "Description/single/a2722199-e83c-4f2b-b2fc-7eddeb10485e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The presence of dead pixels creates a speckled pattern across the image, disrupting the uniform appearance of natural features such as water and terrain. This distortion obscures fine details, making it difficult to discern subtle variations in surface texture and boundaries. The image quality is moderately degraded, reducing its suitability for detailed analysis."}
{"id": "5726fe1e-5b59-4eb5-a0b4-3514b669c94e", "image_1": "Description/single/5726fe1e-5b59-4eb5-a0b4-3514b669c94e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The distorted image exhibits severe speckling and pixelation, creating a noisy appearance that disrupts the visual coherence of urban structures. The dead pixel distortion obscures fine details, making it difficult to discern road networks and individual buildings, which significantly hampers interpretability. The image quality is poor, with substantial degradation affecting its usability for analysis."}
{"id": "73c1bd3d-0db6-4bdb-af92-d2a6d65b1df1", "image_1": "Description/single/73c1bd3d-0db6-4bdb-af92-d2a6d65b1df1_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe dead pixel distortion introduces a dense pattern of speckled noise, obscuring fine details and disrupting the natural appearance of the landscape.  \nKey features such as building outlines and vegetation textures are heavily degraded, making it difficult to distinguish structures and land cover types.  \nThe image quality is poor, significantly limiting its usability for visual interpretation or analytical purposes."}
{"id": "65f7794f-7c68-40b1-831e-cecd2873b5e8", "image_1": "Description/single/65f7794f-7c68-40b1-831e-cecd2873b5e8_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The distorted image exhibits scattered bright spots across the scene, disrupting the uniformity and creating visual noise that distracts from the finer details. These dead pixels obscure critical features such as building layouts and road networks, reducing the clarity needed for accurate interpretation. The image quality is moderately degraded, making it less suitable for detailed analysis."}
{"id": "de5f38da-67d5-467a-b7f7-9e641af36e1e", "image_1": "Description/single/de5f38da-67d5-467a-b7f7-9e641af36e1e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe dead pixels create a dense speckled pattern that obscures fine details and disrupts the uniformity of the image.  \nThe distortion significantly reduces interpretability by masking critical features such as road networks, building outlines, and land use patterns.  \nThe image quality is extremely poor, making it unsuitable for detailed analysis or visual interpretation."}
{"id": "566d266d-2d7b-4278-bb35-28a74013dfd0", "image_1": "Description/single/566d266d-2d7b-4278-bb35-28a74013dfd0_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The presence of dead pixels creates a speckled pattern across the image, disrupting the uniformity of surfaces such as roads, rooftops, and vegetation. This distortion obscures fine details, making it difficult to discern smaller features like individual tree canopies or precise building outlines. The image quality is moderately degraded, reducing its usability for detailed analysis or interpretation."}
{"id": "5e6a9002-2bae-4f97-bc90-a90feda23422", "image_1": "Description/single/5e6a9002-2bae-4f97-bc90-a90feda23422_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe dead pixel distortion creates a speckled appearance, disrupting the uniformity of the terrain and obscuring fine details. The distortion significantly reduces interpretability by masking critical features such as field boundaries and vegetation patterns. The image quality is poor, with substantial loss of clarity and spatial information."}
{"id": "b4097b55-f87d-4230-abe0-bc0193a30638", "image_1": "Description/single/b4097b55-f87d-4230-abe0-bc0193a30638_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The distorted image exhibits scattered bright speckles across the scene, disrupting the natural texture and creating visual noise that distracts from the underlying features. The presence of dead pixels obscures fine details, making it difficult to discern smaller landforms and vegetation patterns accurately. The overall image quality is moderately degraded, reducing its usability for detailed analysis."}
{"id": "f30efd94-9f7c-4421-ba24-059db1c6c2cc", "image_1": "Description/single/f30efd94-9f7c-4421-ba24-059db1c6c2cc_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe dead pixel distortion introduces a dense noise pattern that obscures fine details and disrupts the uniformity of the image.  \nKey features such as roads, vegetation patterns, and urban structures are heavily degraded, making it difficult to distinguish or analyze specific elements.  \nThe image quality is poor, significantly impairing its usability for interpretation or remote sensing analysis."}
{"id": "ee0f4d80-ba87-41be-a47e-f9b6539ce286", "image_1": "Description/single/ee0f4d80-ba87-41be-a47e-f9b6539ce286_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe dead pixels create a speckled appearance, disrupting the uniformity of the terrain and structures. The distortion obscures critical details such as building layouts and road networks, making interpretation of spatial features difficult. The image quality is poor, significantly hindering its usability for analysis."}
{"id": "8bb6222d-237d-4767-96f5-fd341608e339", "image_1": "Description/single/8bb6222d-237d-4767-96f5-fd341608e339_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe dead pixel distortion creates a noisy and grainy appearance, obscuring fine details and disrupting visual coherence.  \nKey features such as roads and vegetation textures are heavily degraded, making it difficult to interpret land use or identify specific patterns.  \nThe image quality is poor, significantly limiting its usability for analysis or decision-making."}
{"id": "3b00636a-8ca5-4694-bed4-86196cd8aec3", "image_1": "Description/single/3b00636a-8ca5-4694-bed4-86196cd8aec3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The presence of dead pixels introduces a speckled noise pattern across the image, disrupting the uniformity of farmland and vegetation areas. This noise obscures fine details, making it difficult to discern smaller features such as individual buildings or road edges. The image quality is moderately degraded, reducing its overall clarity and usability for detailed analysis."}
{"id": "f37c0b9c-c2bb-4bd3-8d09-55e30b76012d", "image_1": "Description/single/f37c0b9c-c2bb-4bd3-8d09-55e30b76012d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe dead pixel distortion introduces a dense pattern of speckling across the image, significantly disrupting the visual continuity of urban features and natural elements. Key details such as building outlines, road networks, and water bodies are obscured, making it difficult to interpret spatial relationships and land use accurately. The image quality is poor, with substantial degradation affecting its usability for analysis or observation."}
{"id": "beda088e-4169-4b43-93d9-5218d164683c", "image_1": "Description/single/beda088e-4169-4b43-93d9-5218d164683c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The presence of dead pixels creates a speckled pattern across the image, disrupting the uniformity of the landscape and making features appear noisy.  \nThis distortion reduces the clarity of roads, buildings, and vegetation, making it difficult to distinguish finer details and interpret spatial relationships accurately.  \nThe image quality is moderately degraded, impacting its usability for precise analysis or visual interpretation."}
{"id": "039a47c0-20a7-4339-a490-90c013af08c0", "image_1": "Description/single/039a47c0-20a7-4339-a490-90c013af08c0_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe dead pixel distortion creates a speckled appearance, disrupting the natural texture and uniformity of the landscape. Key features such as building outlines and farmland patterns are obscured, making it difficult to discern structural details or land use. The image quality is poor, significantly limiting its usability for analysis or interpretation."}
{"id": "65d2733c-6293-485e-9dbe-3d3327e7b378", "image_1": "Description/single/65d2733c-6293-485e-9dbe-3d3327e7b378_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe dead pixel distortion creates a noisy appearance, obscuring structural details and disrupting the visual coherence of the scene. Key features such as building outlines, road networks, and vegetation patterns are heavily degraded, making it difficult to interpret spatial relationships and land use. The image quality is poor, significantly limiting its utility for analysis or decision-making."}
{"id": "145255fc-e752-47b4-82fa-c82b55a5c734", "image_1": "Description/single/145255fc-e752-47b4-82fa-c82b55a5c734_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The presence of dead pixels creates a speckled pattern across the image, disrupting the uniformity and causing visual distraction.  \nKey features such as road networks and building layouts are harder to discern, reducing the clarity and interpretability of the scene.  \nThe image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "51644caa-ec20-4f18-8df8-8e709cb58aa9", "image_1": "Description/single/51644caa-ec20-4f18-8df8-8e709cb58aa9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe dead pixels create a dense pattern of bright speckles across the image, significantly disrupting the natural visual flow and obscuring spatial details.  \nThe distortion obscures critical features such as water boundaries and vegetation patterns, making it difficult to distinguish land cover types or analyze spatial relationships.  \nThe image quality is poor, with substantial degradation affecting its usability for interpretation or analysis."}
{"id": "d6eb63dd-203a-4166-9283-79e49be920cb", "image_1": "Description/single/d6eb63dd-203a-4166-9283-79e49be920cb_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The distorted image exhibits a speckled appearance due to severe dead pixels, disrupting the uniformity of the terrain and creating a noisy texture that overwhelms visual clarity.  \nThe severe dead pixel distortion obscures fine details, making it difficult to discern patterns or features such as field boundaries and vegetation textures.  \nThe image quality is poor, significantly limiting its usability for analysis or interpretation."}
{"id": "60a4e016-dcc4-4d4e-9f01-2e8ae409beab", "image_1": "Description/single/60a4e016-dcc4-4d4e-9f01-2e8ae409beab_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe dead pixel distortion introduces a dense, noisy texture that obscures fine details and disrupts the natural patterns of the landscape. Key features such as roads, buildings, and vegetation are indistinguishable, significantly reducing the ability to interpret spatial relationships and land use. The image quality is extremely poor, making it unsuitable for analytical or visual purposes."}
{"id": "70bbe33d-84fd-4856-a334-688e389d4a38", "image_1": "Description/single/70bbe33d-84fd-4856-a334-688e389d4a38_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe dead pixel distortion introduces a dense pattern of speckled noise across the image, disrupting the natural textures and creating a visually chaotic appearance. Key features such as roads, water bodies, and buildings are obscured, making it difficult to discern their shapes and spatial relationships. The image quality is poor, significantly impairing its usability for detailed analysis or interpretation."}
{"id": "2231ca4f-0b6a-49e0-82aa-6e9e24d90c52", "image_1": "Description/single/2231ca4f-0b6a-49e0-82aa-6e9e24d90c52_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Black horizontal bands caused by dead pixels disrupt the continuity of the urban landscape, creating visual interruptions that obscure details. These distortions hinder the ability to discern fine features such as road networks and building layouts, reducing the image's usability for detailed analysis. The image quality is moderately degraded, with noticeable artifacts impacting its overall clarity."}
{"id": "b10f3e3e-06a6-4aac-8057-0e950a04bc3e", "image_1": "Description/single/b10f3e3e-06a6-4aac-8057-0e950a04bc3e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Horizontal black bands caused by dead pixels disrupt the continuity of urban and natural features, creating visual interruptions across the image. These distortions obscure fine details such as road networks and building layouts, reducing the interpretability of the spatial patterns. The image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "d5592877-c030-4442-a91f-94b1070cf5ce", "image_1": "Description/single/d5592877-c030-4442-a91f-94b1070cf5ce_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Horizontal black lines disrupt the uniform texture, creating a segmented appearance that distracts human perception. The severe dead pixel distortion obscures surface details, making it difficult to analyze fine-grained features or patterns. The image quality is poor due to the prominent visual artifacts."}
{"id": "88eeb56d-e160-451d-8bdf-2503d4a93e6e", "image_1": "Description/single/88eeb56d-e160-451d-8bdf-2503d4a93e6e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe dead pixel distortion creates prominent vertical black lines that disrupt the continuity of the image, making the landscape appear fragmented and unnatural. These interruptions obscure critical details, such as the road structure and vegetation patterns, significantly reducing the interpretability of the scene. The image quality is poor due to the overwhelming visual interference caused by the distortion."}
{"id": "399f6ec7-8ed8-4bf7-ac83-82a6ccf4636a", "image_1": "Description/single/399f6ec7-8ed8-4bf7-ac83-82a6ccf4636a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Vertical black lines caused by severe dead pixels disrupt the natural texture of the landscape, creating artificial divisions that detract from visual coherence. These distortions obscure fine details in vegetation patterns and terrain features, reducing the image's utility for accurate analysis. The image quality is poor due to the prominent and pervasive artifacts."}
{"id": "e466b50e-f962-4214-bd09-619b12376244", "image_1": "Description/single/e466b50e-f962-4214-bd09-619b12376244_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Vertical black lines caused by severe dead pixels disrupt the visual continuity, creating unnatural divisions across the image. These distortions obscure fine details, such as vegetation patterns and road structures, making it difficult to interpret spatial relationships and land features accurately. The image quality is poor due to the prominent and pervasive artifacts."}
{"id": "f25c56e9-3c03-41f9-a23e-ff85e7cf272e", "image_1": "Description/single/f25c56e9-3c03-41f9-a23e-ff85e7cf272e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Vertical black lines caused by severe dead pixels disrupt the continuity of the landscape, creating unnatural divisions across the image. These distortions obscure critical details such as road networks and agricultural patterns, significantly reducing the interpretability of the scene. The image quality is poor due to the prominent and intrusive artifacts."}
{"id": "609f639a-499f-4369-88d4-f521371f8845", "image_1": "Description/single/609f639a-499f-4369-88d4-f521371f8845_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe vertical black lines disrupt the uniformity of the image, creating a fragmented appearance that draws attention away from natural features. The distortion obscures subtle details in the water's texture, making it difficult to analyze patterns or detect underlying structures. The image quality is poor due to the prominent and pervasive dead pixel artifacts."}
{"id": "83bf94d3-2a77-45fb-b383-7d556e4f43e0", "image_1": "Description/single/83bf94d3-2a77-45fb-b383-7d556e4f43e0_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe vertical black bands caused by dead pixels disrupt the visual continuity of the landscape, dividing natural features into fragmented sections. The distortion obscures critical details such as vegetation patterns and terrain boundaries, significantly reducing the image's interpretability for analysis. The image quality is poor due to the overwhelming presence of dead pixel artifacts."}
{"id": "22b014d5-f070-470b-8a7a-872723f7e4f8", "image_1": "Description/single/22b014d5-f070-470b-8a7a-872723f7e4f8_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe horizontal black bands disrupt the visual continuity of the image, creating abrupt divisions across urban and agricultural areas. These bands obscure critical details such as road networks and field patterns, significantly reducing the interpretability of the image. The image quality is poor due to the prominent distortion and loss of spatial information."}
{"id": "5c48b2ab-5371-401a-ad6f-48b067a6a5fc", "image_1": "Description/single/5c48b2ab-5371-401a-ad6f-48b067a6a5fc_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe dead pixel distortion creates prominent black horizontal bands that disrupt the continuity of the image, dividing the scene into fragmented sections. These bands obscure critical details such as building layouts and road features, significantly reducing the interpretability of urban and vegetation patterns. The image quality is poor due to the overwhelming visual obstruction caused by the distortion."}
{"id": "a99112f2-9d18-4a91-9b64-780de8d2a709", "image_1": "Description/single/a99112f2-9d18-4a91-9b64-780de8d2a709_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Vertical black lines caused by dead pixels disrupt the uniform texture of the image, creating unnatural divisions across the scene. These artifacts obscure fine details and reduce the clarity of patterns, making it difficult to interpret subtle features. The image quality is moderately degraded due to the noticeable visual interruptions."}
{"id": "c6c73ee2-6f34-4484-aa1c-011b1275abbf", "image_1": "Description/single/c6c73ee2-6f34-4484-aa1c-011b1275abbf_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Black horizontal bands caused by severe dead pixels disrupt the continuity of terrain features, creating unnatural divisions across the landscape. These distortions obscure critical details such as road networks and vegetation patterns, reducing the image's usability for analysis. The image quality is poor due to the significant visual interference."}
{"id": "b539d45b-f302-410e-a9b7-7ad26ac199b0", "image_1": "Description/single/b539d45b-f302-410e-a9b7-7ad26ac199b0_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Vertical black bands caused by severe dead pixels disrupt the continuity of the image, creating unnatural divisions across the scene. These distortions obscure critical details such as building structures and railway tracks, hindering accurate interpretation and analysis. The image quality is poor due to the prominent and pervasive visual artifacts."}
{"id": "4a0027d8-fa66-4c7f-9674-99e9fa60c24b", "image_1": "Description/single/4a0027d8-fa66-4c7f-9674-99e9fa60c24b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Black horizontal lines caused by severe dead pixels disrupt the continuity of the image, creating unnatural divisions across the urban and vegetated areas. These distortions obscure fine details, such as building structures and vegetation textures, making it difficult to interpret spatial patterns and land use accurately. The image quality is poor due to the prominent artifacts and loss of visual coherence."}
{"id": "c58da30d-99e2-4465-8d12-74cb97e4def5", "image_1": "Description/single/c58da30d-99e2-4465-8d12-74cb97e4def5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe horizontal black bands disrupt the continuity of the terrain, creating unnatural divisions across the landscape. These distortions obscure fine details, such as subtle geological features and vegetation patterns, reducing the image's interpretability for analysis. The image quality is poor due to the prominent and pervasive dead pixel artifacts."}
{"id": "f6ea3b34-8c2a-413d-89d8-c4166fd0fe0e", "image_1": "Description/single/f6ea3b34-8c2a-413d-89d8-c4166fd0fe0e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe dead pixels create prominent vertical lines that disrupt the continuity of urban structures and natural landscapes, making the image appear fragmented. The distortion obscures critical details such as road networks and building layouts, significantly hindering the ability to analyze spatial relationships. The image quality is poor, with substantial degradation affecting its usability for interpretation or analysis."}
{"id": "b1fe1578-7789-466a-9653-82b466fc4a97", "image_1": "Description/single/b1fe1578-7789-466a-9653-82b466fc4a97_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Black horizontal lines caused by severe dead pixels disrupt the natural terrain, creating artificial divisions across the image. These distortions obscure fine details in vegetation and terrain patterns, reducing the ability to interpret land cover and pathways accurately. The image quality is poor due to the prominent visual artifacts."}
{"id": "3498a2a4-f5a4-4b5c-b744-cb3ab2e184fd", "image_1": "Description/single/3498a2a4-f5a4-4b5c-b744-cb3ab2e184fd_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Vertical black lines caused by dead pixels disrupt the natural texture of the vegetation, creating a striped appearance that distracts the viewer. These severe distortions obscure fine details, making it difficult to analyze the spatial distribution and density of vegetation. The image quality is poor due to the prominent and pervasive artifacts."}
{"id": "0a9cd014-89d0-4a27-8db9-a6a5a3f1caab", "image_1": "Description/single/0a9cd014-89d0-4a27-8db9-a6a5a3f1caab_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe dead pixel distortion creates prominent horizontal black lines that disrupt the continuity of the visual scene, fragmenting large areas like open fields and urban structures. These interruptions obscure critical details, such as the layout of roads and the clarity of building arrangements, making spatial analysis challenging. The image quality is poor due to the significant visual degradation caused by the distortion."}
{"id": "c673cd30-b17c-424b-b92b-2961dadff14a", "image_1": "Description/single/c673cd30-b17c-424b-b92b-2961dadff14a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe horizontal lines disrupt the visual continuity, creating a fragmented appearance across the image. These distortions obscure fine details, such as road markings and building structures, making it difficult to interpret spatial features accurately. The image quality is poor due to the pronounced interference caused by the dead pixel distortion."}
{"id": "3b856d0c-d5a1-47ea-adc2-ea0243c611c8", "image_1": "Description/single/3b856d0c-d5a1-47ea-adc2-ea0243c611c8_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Vertical black lines caused by dead pixels disrupt the continuity of structures, creating unnatural divisions across buildings and roads.  \nThe distortion obscures fine details, making it difficult to interpret features like building edges and road markings accurately.  \nThe image quality is moderately degraded, with noticeable artifacts affecting visual clarity and usability."}
{"id": "25a71ddf-393a-444c-ba8e-711ea82cc6d5", "image_1": "Description/single/25a71ddf-393a-444c-ba8e-711ea82cc6d5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Vertical black lines caused by dead pixels disrupt the continuity of the image, creating a striped appearance that distracts from the natural visual flow.  \nThe distortion obscures fine details, making it difficult to discern features like building structures and road edges, which hampers accurate interpretation.  \nThe image quality is moderately degraded, reducing its suitability for detailed analysis."}
{"id": "2a8e252d-ca15-4c95-b48f-67e68b636270", "image_1": "Description/single/2a8e252d-ca15-4c95-b48f-67e68b636270_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Vertical black lines caused by severe dead pixels disrupt the continuity of urban features, creating a fragmented visual appearance. The distortion obscures critical details such as building layouts and road networks, hindering accurate interpretation and analysis. The image quality is poor due to the significant loss of spatial coherence and detail."}
{"id": "329c7ce1-2ccb-4873-975d-38504a2603fe", "image_1": "Description/single/329c7ce1-2ccb-4873-975d-38504a2603fe_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Vertical black bands caused by severe dead pixels disrupt the continuity of the landscape, creating unnatural divisions across farmland and urban areas. These distortions obscure fine details such as field boundaries and building layouts, significantly reducing the image's interpretability for spatial analysis. The overall image quality is poor due to the prominent and widespread visual artifacts."}
{"id": "9262e809-a01a-4142-887a-fd7ca9b3c35e", "image_1": "Description/single/9262e809-a01a-4142-887a-fd7ca9b3c35e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Black horizontal bands caused by severe dead pixels disrupt the continuity of the image and obscure large portions of the scene. Critical features such as roads, buildings, and vegetation are fragmented, making spatial relationships and detailed analysis challenging. The image quality is significantly degraded, hindering its usability for interpretation or remote sensing applications."}
{"id": "e4b8cbc9-e517-4d46-aa4a-4949baf9d8fd", "image_1": "Description/single/e4b8cbc9-e517-4d46-aa4a-4949baf9d8fd_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe dead pixels create prominent black horizontal bands that disrupt the continuity of the landscape, dividing farmland and vegetation into disjointed sections. These interruptions obscure fine details such as field boundaries and small structures, significantly reducing the image's interpretability for land use analysis. The overall image quality is poor due to the pervasive and visually distracting artifacts."}
{"id": "3daa1b31-ae80-429f-acae-520c6560e8af", "image_1": "Description/single/3daa1b31-ae80-429f-acae-520c6560e8af_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Vertical black lines caused by dead pixels disrupt the uniformity of the farmland, creating artificial divisions that interfere with natural patterns. These distortions obscure fine details, such as subtle texture variations in the soil and vegetation, reducing the image's utility for precise analysis. The overall image quality is moderately degraded, making it less suitable for detailed interpretation."}
{"id": "9cfc9103-b752-4c4a-8398-e2444af0eba5", "image_1": "Description/single/9cfc9103-b752-4c4a-8398-e2444af0eba5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Horizontal black lines disrupt the continuity of the image, creating visual barriers that obscure details and interrupt the natural flow of the scene.  \nThe distortion diminishes the clarity of features such as roads and vegetation, making it difficult to discern fine textures and spatial relationships.  \nThe image quality is moderately degraded, reducing its usability for detailed analysis or interpretation."}
{"id": "b33fb31a-942f-4bd7-b8b3-a7789b954c6c", "image_1": "Description/single/b33fb31a-942f-4bd7-b8b3-a7789b954c6c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe dead pixels create prominent vertical black bands across the image, disrupting the continuity of urban and natural features. The distortion obscures critical details such as road networks and building layouts, significantly reducing the ability to analyze spatial patterns. The image quality is poor, with major visual interruptions hindering interpretation."}
{"id": "cd995ec7-50b6-474d-9771-ef8dd8827592", "image_1": "Description/single/cd995ec7-50b6-474d-9771-ef8dd8827592_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create abrupt blank areas that disrupt the uniform texture, making the image appear incomplete and visually fragmented. These gaps obscure spatial continuity, reducing the ability to interpret surface patterns or detect subtle features. The image quality is moderately degraded, limiting its usability for detailed analysis."}
{"id": "80257e4d-1b4b-4a17-bad1-3e9056303151", "image_1": "Description/single/80257e4d-1b4b-4a17-bad1-3e9056303151_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create abrupt white gaps that disrupt the continuity of the farmland and riverbank, making the landscape appear fragmented. These gaps obscure critical spatial details, such as field boundaries and shoreline contours, reducing the ability to analyze land use patterns effectively. The image quality is poor due to the severe visual interruptions caused by the missing tiles."}
{"id": "fb8959ac-92d6-4bdb-8456-c80bfab4abf1", "image_1": "Description/single/fb8959ac-92d6-4bdb-8456-c80bfab4abf1_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create large blank areas that disrupt the continuity of the landscape, making it difficult to visually interpret the spatial relationships between features.  \nKey details, such as the layout of agricultural fields and infrastructure, are obscured, significantly reducing the ability to analyze land use or identify specific patterns.  \nThe image quality is poor due to the severe loss of visual information and coherence."}
{"id": "c5d45b00-0191-4ef4-beb0-57d44afe349b", "image_1": "Description/single/c5d45b00-0191-4ef4-beb0-57d44afe349b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create abrupt visual gaps that disrupt the continuity of the landscape, making features like roads and vegetation appear fragmented. These gaps obscure critical details, such as the texture of farmland and the connectivity of pathways, reducing the interpretability of the image for analysis. The overall image quality is poor due to the severe distortion."}
{"id": "0419b99a-dbd1-4574-ba93-86e56785e23c", "image_1": "Description/single/0419b99a-dbd1-4574-ba93-86e56785e23c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Large missing tiles create abrupt blank areas that disrupt the continuity of urban and natural landscapes.  \nThe severe gaps obscure critical details such as road layouts and vegetation patterns, making spatial analysis difficult.  \nThe image quality is poor due to significant visual and informational loss."}
{"id": "155e7044-9762-43c1-b9e6-1c93e3b606b6", "image_1": "Description/single/155e7044-9762-43c1-b9e6-1c93e3b606b6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create abrupt gaps that disrupt the continuity of the terrain, making certain areas appear incomplete and fragmented. These gaps obscure fine details such as the precise outlines of pathways and the spatial arrangement of vegetation, reducing the clarity of the landscape. The image quality is moderately compromised, with noticeable interruptions affecting its overall interpretability."}
{"id": "d3164641-e1d5-4017-8b14-5d253f2ea677", "image_1": "Description/single/d3164641-e1d5-4017-8b14-5d253f2ea677_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create abrupt blank areas that disrupt the continuity of the landscape, making certain regions visually incomplete and distracting. These gaps obscure critical details such as road networks and building layouts, reducing the interpretability of urban and agricultural patterns. The image quality is moderately compromised, with noticeable interruptions affecting its usability for detailed analysis."}
{"id": "165c8d6e-eb52-49a6-9901-5a7fafdd916b", "image_1": "Description/single/165c8d6e-eb52-49a6-9901-5a7fafdd916b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create large blank areas that disrupt the continuity of the landscape, making it visually fragmented and incomplete. This severe distortion obscures critical details such as vegetation patterns and field boundaries, significantly reducing the image's interpretability for analysis. The image quality is poor due to the extensive loss of visual information."}
{"id": "328d6b1a-b0f1-405f-be1e-fa66fe2644f6", "image_1": "Description/single/328d6b1a-b0f1-405f-be1e-fa66fe2644f6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create a large blank area that disrupts the continuity of the landscape, making it difficult to visually interpret the spatial relationships between features.  \nThe severe distortion obscures critical details such as the layout of buildings, roads, and vegetation patterns, significantly reducing the image's usability for analysis.  \nThe image quality is poor due to the extensive loss of information and visual coherence."}
{"id": "71f2f3bc-f69e-4095-ad51-dcc06a600e29", "image_1": "Description/single/71f2f3bc-f69e-4095-ad51-dcc06a600e29_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Large missing tiles create abrupt blank areas that disrupt the continuity of the landscape, making it difficult for viewers to perceive spatial relationships.  \nThe severe gaps obscure critical features such as vegetation patterns and land boundaries, significantly reducing the ability to analyze terrain details.  \nThe image quality is poor due to the extensive loss of visual information and spatial coherence."}
{"id": "4f76bc46-a1ad-48b1-bd14-904ef011ddd8", "image_1": "Description/single/4f76bc46-a1ad-48b1-bd14-904ef011ddd8_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create large blank areas that disrupt the continuity of the landscape, making it difficult to visually interpret the spatial arrangement of features. Key elements such as road intersections and vegetation patterns are partially obscured, significantly reducing the image's usability for analysis. The image quality is poor due to the severe loss of visual information."}
{"id": "ff2e735f-00eb-44dd-9109-4d0c6173db55", "image_1": "Description/single/ff2e735f-00eb-44dd-9109-4d0c6173db55_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create a stark white block that disrupts the continuity of the forested landscape, making the image visually jarring and unnatural. This severe distortion obscures critical details of vegetation patterns and spatial relationships, significantly reducing the image's interpretability for environmental analysis. The image quality is poor due to the prominent missing sections and lack of visual coherence."}
{"id": "c7977dd5-b3b6-4bff-9eb1-1a0ff0728225", "image_1": "Description/single/c7977dd5-b3b6-4bff-9eb1-1a0ff0728225_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create large blank areas that disrupt the continuity of the landscape, making it difficult to visually interpret the spatial relationships between features. Key details such as urban structures and road networks are fragmented, significantly reducing the ability to analyze land use and connectivity. The image quality is poor due to the severe loss of information and visual coherence."}
{"id": "1a3bb0b5-fdd3-4622-9145-46edb0cd5ff6", "image_1": "Description/single/1a3bb0b5-fdd3-4622-9145-46edb0cd5ff6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe missing tiles create abrupt blank areas that disrupt the continuity of urban structures and roads, making the image visually fragmented. The gaps obscure critical details such as building layouts and road intersections, significantly reducing interpretability for urban analysis. The image quality is poor due to the extensive loss of spatial information."}
{"id": "cf824287-b719-4be3-af05-e8ba289b34e1", "image_1": "Description/single/cf824287-b719-4be3-af05-e8ba289b34e1_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe missing tiles create abrupt blank areas that disrupt the continuity of the landscape, dividing natural features like forests and farmland into disjointed sections. The distortion obscures critical details such as road paths and waterway connections, significantly reducing the image's interpretability for spatial analysis. The image quality is poor due to the extensive loss of visual information and spatial coherence."}
{"id": "5e2951ba-e320-48dd-9644-14e226f47783", "image_1": "Description/single/5e2951ba-e320-48dd-9644-14e226f47783_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create abrupt blank areas that disrupt the continuity of the urban landscape and surrounding terrain, making the image visually fragmented. This distortion obscures critical details such as building layouts and road networks, reducing the interpretability of spatial patterns and infrastructure connections. The image quality is moderately degraded, limiting its usability for detailed analysis."}
{"id": "d73b66af-1e32-47a9-bc07-5b5730c6b652", "image_1": "Description/single/d73b66af-1e32-47a9-bc07-5b5730c6b652_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create large blank areas that disrupt the continuity of the landscape, making it difficult to visually interpret the terrain. The severe gaps obscure critical details such as vegetation patterns and land use features, significantly reducing the analytical value of the image. The image quality is poor due to the extensive loss of visual information."}
{"id": "98d7bc8e-7039-4d8a-ac7f-f0e0e6d1acbc", "image_1": "Description/single/98d7bc8e-7039-4d8a-ac7f-f0e0e6d1acbc_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "A large white patch disrupts the continuity of the landscape, obscuring critical visual information and creating a stark visual imbalance. The missing tiles obscure key features such as roads and terrain patterns, making it difficult to interpret spatial relationships and land use. The image quality is poor due to the severe loss of visual data and coherence."}
{"id": "37d54436-e651-4e16-90f4-118cb27d6e59", "image_1": "Description/single/37d54436-e651-4e16-90f4-118cb27d6e59_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Large missing tiles create abrupt blank areas that disrupt the continuity of the landscape, making the image appear fragmented and incomplete.  \nThe severe gaps obscure critical details such as vegetation patterns and terrain features, significantly reducing the ability to analyze land use or environmental conditions.  \nThe image quality is poor due to the extensive loss of visual information and spatial coherence."}
{"id": "9d993244-834a-41f0-ae0d-c1e7c0f7f5d3", "image_1": "Description/single/9d993244-834a-41f0-ae0d-c1e7c0f7f5d3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Large missing tiles create abrupt white gaps that disrupt the continuity of the image, making it visually fragmented and distracting.  \nThe severe missing tiles obscure spatial details, such as subtle textures and patterns, reducing the ability to interpret features like water or land boundaries.  \nThe image quality is poor due to the significant loss of visual information and coherence."}
{"id": "4369b808-aa66-4963-aae4-abb4115daff7", "image_1": "Description/single/4369b808-aa66-4963-aae4-abb4115daff7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe missing tiles create abrupt blank areas that disrupt the continuity of the landscape, making features like terraces and buildings appear fragmented. The gaps obscure critical details, such as the structure of agricultural fields and the arrangement of buildings, reducing the interpretability of the terrain. The image quality is poor, with significant loss of visual information and spatial coherence."}
{"id": "aacbb86b-c0e4-4f49-988a-628a494b6a86", "image_1": "Description/single/aacbb86b-c0e4-4f49-988a-628a494b6a86_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Large missing tiles create abrupt blank areas that disrupt the continuity of the landscape, making the image visually fragmented and disjointed.  \nThe severe gaps obscure critical details such as field boundaries, road networks, and settlement patterns, significantly reducing the image's interpretability for analysis.  \nThe image quality is poor due to the extensive loss of information and visual coherence."}
{"id": "48691aa9-cb14-42a2-b994-f24b40a2490e", "image_1": "Description/single/48691aa9-cb14-42a2-b994-f24b40a2490e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create visible gaps and uneven textures, disrupting the uniform appearance of the landscape. These gaps obscure fine details, such as the clarity of linear features and subtle variations in surface patterns, reducing interpretability. The image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "e721eb70-d25b-40ce-8e52-f8bf15847aa1", "image_1": "Description/single/e721eb70-d25b-40ce-8e52-f8bf15847aa1_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe missing tiles create abrupt visual gaps, disrupting the continuity of the terrain and introducing stark divisions across the image. These gaps obscure critical features such as road outlines and terrain textures, significantly reducing interpretability and analytical value. The image quality is poor due to the pronounced fragmentation and loss of visual coherence."}
{"id": "47470c3e-33d3-4b83-a71f-594fc81dca1c", "image_1": "Description/single/47470c3e-33d3-4b83-a71f-594fc81dca1c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Large missing tiles create abrupt blank areas that disrupt the continuity of the landscape, making the image visually fragmented.  \nThe missing sections obscure critical details such as building layouts and road networks, significantly reducing interpretability and analytical value.  \nThe image quality is poor due to the severe distortion caused by missing tiles."}
{"id": "05ca07e3-81e9-425e-896c-cfee2309ee2b", "image_1": "Description/single/05ca07e3-81e9-425e-896c-cfee2309ee2b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create abrupt white gaps that disrupt the continuity of the forested landscape and road network, making the image visually fragmented. These gaps obscure critical details such as road curvature and vegetation patterns, reducing the interpretability of the terrain and land use features. The image quality is moderately degraded, with noticeable interruptions affecting its usability for analysis."}
{"id": "888c4acf-3840-41da-9b6a-dd042f162526", "image_1": "Description/single/888c4acf-3840-41da-9b6a-dd042f162526_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe missing tiles create abrupt gaps that disrupt the continuity of urban structures and farmland, making the image appear fragmented. The distortion obscures critical spatial details, such as road networks and building layouts, reducing the ability to analyze land use and infrastructure effectively. The image quality is poor due to the significant loss of visual coherence and interpretability."}
{"id": "24fa2f21-56db-4619-bd26-c44bf48319c2", "image_1": "Description/single/24fa2f21-56db-4619-bd26-c44bf48319c2_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "A large portion of the image is obscured by missing tiles, creating a stark white void that disrupts the visual continuity of the scene. The absence of critical details in the obscured area significantly hampers the ability to identify structures, roads, and land use patterns. The image quality is severely degraded, making it unsuitable for detailed analysis or interpretation."}
{"id": "b9d22fa6-aeef-4118-a915-29c1c6218d67", "image_1": "Description/single/b9d22fa6-aeef-4118-a915-29c1c6218d67_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The missing tiles create large blank areas that disrupt the continuity of the landscape, making it difficult to visually interpret the spatial relationships between features. Key details such as the structure of terraced farmland and the layout of roads are obscured, significantly reducing the image's usability for analysis. The image quality is poor due to the severe level of distortion."}
{"id": "f5b8bfd5-f291-443b-be77-af51e35c308f", "image_1": "Description/single/f5b8bfd5-f291-443b-be77-af51e35c308f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Large white patches disrupt the continuity of the landscape, creating abrupt visual breaks that hinder smooth perception.  \nThe missing tiles obscure critical surface details, making it difficult to discern vegetation patterns and terrain features.  \nThe image quality is poor due to the severe loss of information and visual coherence."}
{"id": "bae88686-be6d-4b51-9d54-4dcb01f11ae9", "image_1": "Description/single/bae88686-be6d-4b51-9d54-4dcb01f11ae9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Horizontal deadline noise creates visible dark lines across the image, disrupting the continuity of the landscape and introducing visual artifacts. These lines obscure fine details, such as road networks and field boundaries, making it difficult to interpret spatial patterns and land use. The image quality is moderately degraded, reducing its suitability for detailed analysis."}
{"id": "2502438e-94bb-4343-ad67-6db89e4bd240", "image_1": "Description/single/2502438e-94bb-4343-ad67-6db89e4bd240_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe deadline noise introduces prominent horizontal lines across the image, disrupting the visual continuity and making urban and vegetation areas appear fragmented. These distortions obscure critical details, such as the clarity of road networks and the texture of green spaces, significantly reducing interpretability for analysis. The image quality is poor due to the overwhelming interference caused by the noise."}
{"id": "0de97c28-190e-41c7-aed2-40d8e6d662a5", "image_1": "Description/single/0de97c28-190e-41c7-aed2-40d8e6d662a5_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The deadline noise introduces horizontal lines across the image, disrupting the uniformity and creating visual distractions that obscure fine details. These distortions make it difficult to discern smaller features such as individual rooftops and road markings, reducing the interpretability of the urban layout. The image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "b4f5bbae-d6fd-45e0-b97f-df460fc07fb3", "image_1": "Description/single/b4f5bbae-d6fd-45e0-b97f-df460fc07fb3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The deadline noise introduces horizontal lines across the image, disrupting the uniformity of farmland and creating visual distractions. These artifacts obscure fine details, such as road networks and building structures, reducing the clarity needed for accurate interpretation. The overall image quality is moderately degraded, making it less suitable for detailed analysis."}
{"id": "95179972-4cd8-47a1-a069-283322d96e52", "image_1": "Description/single/95179972-4cd8-47a1-a069-283322d96e52_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Horizontal lines from deadline noise disrupt the uniformity of the landscape, creating artificial divisions across the image. The distortion obscures fine details such as vegetation patterns and road paths, reducing the clarity needed for accurate interpretation. The image quality is moderately degraded, limiting its usability for detailed analysis."}
{"id": "b5fbd22f-e127-48be-a1e8-be99d2b1f216", "image_1": "Description/single/b5fbd22f-e127-48be-a1e8-be99d2b1f216_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe deadline noise introduces horizontal lines across the image, disrupting the continuity of visual elements and creating a fragmented appearance. The distortion obscures critical details, such as building outlines, road networks, and vegetation patterns, making it difficult to interpret spatial relationships and land use. The image quality is poor, significantly limiting its usability for analytical purposes."}
{"id": "04551008-efad-4ae4-94fa-263681c2693f", "image_1": "Description/single/04551008-efad-4ae4-94fa-263681c2693f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe deadline noise introduces prominent horizontal lines that obscure details and disrupt the visual continuity of the image, making features like buildings and roads difficult to discern. The distortion significantly reduces interpretability by masking fine textures and boundaries, such as those of agricultural plots and infrastructure. The image quality is poor, with critical spatial information heavily degraded."}
{"id": "e9743a45-ffb8-4760-93e1-09db1c9c394e", "image_1": "Description/single/e9743a45-ffb8-4760-93e1-09db1c9c394e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe deadline noise introduces prominent horizontal lines across the image, disrupting the natural texture and patterns of the terrain. These lines obscure critical details, such as the boundaries of agricultural fields and vegetation distribution, making interpretation of land features difficult. The image quality is poor due to the overwhelming visual interference caused by the distortion."}
{"id": "6c0d82ab-a0a4-4658-9515-c821a41b393e", "image_1": "Description/single/6c0d82ab-a0a4-4658-9515-c821a41b393e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe deadline noise introduces prominent horizontal lines across the image, disrupting the visual continuity and making natural features appear fragmented. This distortion obscures fine details such as river paths and vegetation patterns, significantly reducing the interpretability of the landscape. The image quality is poor, with critical spatial information compromised by the pervasive noise."}
{"id": "61a81198-112d-4c4a-85aa-d98c06ac0104", "image_1": "Description/single/61a81198-112d-4c4a-85aa-d98c06ac0104_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe deadline noise introduces prominent horizontal lines across the image, disrupting the visual continuity and making features like buildings and roads appear fragmented. The distortion obscures fine details, such as the clarity of road networks and the texture of agricultural fields, significantly reducing interpretability for analysis. The image quality is poor due to the overwhelming interference caused by the noise."}
{"id": "0d741002-d159-43fb-af5a-7f02d9dc50c2", "image_1": "Description/single/0d741002-d159-43fb-af5a-7f02d9dc50c2_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe deadline noise introduces horizontal lines that disrupt the continuity of features, making the landscape appear fragmented and visually chaotic. The distortion obscures fine details, such as road networks and vegetation patterns, significantly reducing the interpretability of the image for analysis. The overall image quality is poor, with critical spatial information heavily degraded."}
{"id": "61b4aa39-6090-4bc8-859b-1343d3176dd7", "image_1": "Description/single/61b4aa39-6090-4bc8-859b-1343d3176dd7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe deadline noise introduces horizontal lines that disrupt the visual continuity, making features like roads and buildings appear fragmented and difficult to discern. The distortion obscures fine details, such as vegetation patterns and urban layouts, significantly reducing the interpretability of the image for analysis. The image quality is poor, with critical spatial information heavily degraded."}
{"id": "0c78a8ef-021a-4c3b-8364-e2068f389b25", "image_1": "Description/single/0c78a8ef-021a-4c3b-8364-e2068f389b25_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe deadline noise introduces prominent horizontal lines across the image, disrupting the natural texture and spatial continuity of the terrain. The distortion obscures fine details, making it difficult to distinguish vegetation patterns and terrain features accurately. The image quality is poor due to the overwhelming visual interference caused by the noise."}
{"id": "1232f529-35a5-4923-8e67-6dc78ff5f9b3", "image_1": "Description/single/1232f529-35a5-4923-8e67-6dc78ff5f9b3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe deadline noise introduces horizontal lines across the image, disrupting the continuity of visual features and creating a fragmented appearance. The distortion obscures fine details, such as building edges and road layouts, making it difficult to discern structural and spatial relationships. The image quality is poor, significantly limiting its usability for interpretation or analysis."}
{"id": "2e9e79f6-07d8-452f-985c-5f248bf2b20d", "image_1": "Description/single/2e9e79f6-07d8-452f-985c-5f248bf2b20d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe deadline noise introduces prominent horizontal lines across the image, disrupting the natural continuity of the landscape and making features appear fragmented. The distortion obscures fine details such as vegetation patterns and land boundaries, significantly reducing the interpretability of the terrain. The image quality is poor, with critical visual information heavily degraded."}
{"id": "9fc2e625-1bbb-4ca5-8c62-51abc2ba307f", "image_1": "Description/single/9fc2e625-1bbb-4ca5-8c62-51abc2ba307f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The deadline noise introduces horizontal black lines that disrupt the continuity of the image, creating visual distractions and reducing clarity of urban structures. These distortions obscure fine details such as road layouts and building edges, making it difficult to interpret spatial relationships and land use patterns. The image quality is moderately degraded, impairing its usability for detailed analysis."}
{"id": "718deb33-6dc9-46a3-881a-8b5f71c6568e", "image_1": "Description/single/718deb33-6dc9-46a3-881a-8b5f71c6568e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The deadline noise introduces horizontal lines that disrupt the natural texture of the vegetation, creating visual artifacts that distract from the landscape's continuity. These artifacts obscure finer details, making it challenging to discern subtle variations in vegetation density and terrain features. The image quality is moderately degraded, reducing its suitability for detailed analysis."}
{"id": "08903330-a88b-44c1-9321-d452b6552e65", "image_1": "Description/single/08903330-a88b-44c1-9321-d452b6552e65_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe deadline noise introduces horizontal lines across the image, disrupting the visual continuity and creating a fragmented appearance. The distortion obscures fine details such as building outlines, road networks, and water boundaries, significantly reducing interpretability and analytical value. The image quality is poor due to the overwhelming interference from the noise."}
{"id": "c81f90c9-2f2d-471c-8a9c-4400b9013b40", "image_1": "Description/single/c81f90c9-2f2d-471c-8a9c-4400b9013b40_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe deadline noise introduces prominent horizontal lines across the image, disrupting the visual continuity and making features like buildings and open spaces appear fragmented. The distortion obscures fine details, such as the texture of the ground and the clarity of structural edges, significantly reducing the ability to interpret spatial patterns and land use. The image quality is poor, with major degradation affecting its usability for analysis."}
{"id": "e4b27baf-61b4-4939-9d9f-04cbf45af1fa", "image_1": "Description/single/e4b27baf-61b4-4939-9d9f-04cbf45af1fa_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe deadline noise introduces horizontal streaks across the image, disrupting the visual continuity and making features like water bodies and urban layouts difficult to discern. The distortion obscures fine details, such as road networks and building structures, significantly reducing the interpretability of the image for spatial analysis. The image quality is poor, with critical information heavily degraded by the noise."}
{"id": "18a7e84b-61ad-4fac-b754-7a3fe974ea74", "image_1": "Description/single/18a7e84b-61ad-4fac-b754-7a3fe974ea74_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe deadline noise introduces horizontal streaks across the image, disrupting the visual continuity and making features like buildings and farmland appear fragmented. The distortion obscures fine details, such as road outlines and vegetation patterns, significantly reducing the interpretability of the image for analysis. The overall image quality is poor due to the pervasive and distracting noise."}
{"id": "0906ede8-3e74-43f8-bd3c-aa0307eec1dc", "image_1": "Description/single/0906ede8-3e74-43f8-bd3c-aa0307eec1dc_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe deadline noise introduces prominent horizontal lines across the image, disrupting the natural visual flow and obscuring details in the landscape. The distortion significantly diminishes interpretability by masking fine features such as vegetation patterns and small structures, making it challenging to discern spatial relationships. The image quality is poor due to the overwhelming interference and loss of clarity."}
{"id": "96c5dc00-86ba-4978-b5aa-42dab1ebb8b9", "image_1": "Description/single/96c5dc00-86ba-4978-b5aa-42dab1ebb8b9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe deadline noise introduces horizontal streaks that disrupt the uniform texture, creating a fragmented and unnatural appearance. The distortion obscures fine details, making it difficult to discern patterns or identify specific features within the landscape. The image quality is poor, significantly limiting its usability for analysis or interpretation."}
{"id": "fee81e30-4b23-4402-9335-c2e858ea0dd1", "image_1": "Description/single/fee81e30-4b23-4402-9335-c2e858ea0dd1_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe deadline noise introduces horizontal lines across the image, disrupting the visual continuity and making features like roads and buildings appear fragmented. The distortion obscures fine details, such as vegetation patterns and infrastructure layouts, reducing the interpretability of land use and structural elements. The image quality is poor, significantly impairing its utility for analysis or decision-making."}
{"id": "fdc323a4-438a-4eb9-ac55-4d44961ac9d0", "image_1": "Description/single/fdc323a4-438a-4eb9-ac55-4d44961ac9d0_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The distorted image exhibits severe horizontal lines that obscure the underlying features, making the urban structures appear fragmented and difficult to discern. The deadline noise significantly reduces interpretability by masking critical details such as building shapes, road networks, and vegetation patterns, hindering spatial analysis. The overall image quality is poor due to the overwhelming visual interference caused by the distortion."}
{"id": "2b7161e2-081a-4e5c-8652-e5b63ea0fb1d", "image_1": "Description/single/2b7161e2-081a-4e5c-8652-e5b63ea0fb1d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The distorted image exhibits prominent horizontal lines that disrupt the natural texture and continuity of the landscape, creating a visually fragmented appearance. These lines obscure finer details such as terrain features and vegetation patterns, significantly reducing the interpretability of the image for analytical purposes. The overall image quality is poor due to the severe interference caused by the deadline noise."}
{"id": "cd67fedd-3202-41ec-a80a-b35c2abb2a04", "image_1": "Description/single/cd67fedd-3202-41ec-a80a-b35c2abb2a04_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe deadline noise introduces horizontal lines across the image, disrupting the visual continuity and obscuring fine details. The distortion makes it difficult to discern road structures and surrounding terrain, significantly reducing interpretability and analytical value. The image quality is poor due to the overwhelming interference and loss of clarity."}
{"id": "d048c3c3-bf98-42cc-b149-63fbb62346c0", "image_1": "Description/single/d048c3c3-bf98-42cc-b149-63fbb62346c0_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe deadline noise introduces prominent horizontal lines across the image, disrupting the natural patterns and textures of the terrain. The distortion obscures fine details, such as the texture of vegetation and geological features, making it difficult to interpret spatial relationships. The image quality is poor, significantly hindering its usability for analysis or visual interpretation."}
{"id": "7d1804f8-497f-44eb-97cd-92e740a973f1", "image_1": "Description/single/7d1804f8-497f-44eb-97cd-92e740a973f1_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe deadline noise introduces horizontal streaks across the image, disrupting the natural texture and continuity of the forested area. The distortion obscures fine details, making it difficult to discern individual tree patterns and terrain features. The image quality is poor, significantly impairing its usability for visual interpretation or analysis."}
{"id": "f46936f4-6e9a-4912-b15a-d35c5b552acd", "image_1": "Description/single/f46936f4-6e9a-4912-b15a-d35c5b552acd_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe deadline noise introduces prominent horizontal lines across the image, disrupting the natural patterns and textures of the terrain. These artifacts obscure fine details, such as the clarity of ridges and valleys, making it difficult to interpret geographical features accurately. The image quality is poor, significantly impairing its usability for analytical purposes."}
{"id": "2e24e921-9b36-4451-b3cf-1cf2f5a3504e", "image_1": "Description/single/2e24e921-9b36-4451-b3cf-1cf2f5a3504e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The gaussian noise introduces a grainy texture across the image, reducing the clarity of fine details and creating a speckled appearance in uniform areas like farmland and vegetation.  \nThe noise obscures subtle features such as road edges and vegetation patterns, making it difficult to distinguish boundaries and interpret land use accurately.  \nThe image quality is moderately degraded, with noticeable loss of detail and reduced visual coherence."}
{"id": "740f09ee-072d-4547-ba42-dd72eb595f57", "image_1": "Description/single/740f09ee-072d-4547-ba42-dd72eb595f57_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian noise creates a grainy texture across the image, obscuring fine details and introducing random speckling that disrupts visual clarity.  \nKey features such as building edges, road networks, and vegetation patterns are difficult to discern, significantly reducing the image's interpretability for analysis.  \nThe overall image quality is poor, with substantial degradation affecting its usability for remote sensing applications."}
{"id": "794d7085-bb9c-4b9b-a73d-cc70ec5940e9", "image_1": "Description/single/794d7085-bb9c-4b9b-a73d-cc70ec5940e9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The gaussian noise introduces a grainy texture across the image, disrupting the smooth appearance of farmland and water surfaces. Fine details, such as building outlines and road networks, are obscured, making it difficult to distinguish specific features. The image quality is moderately degraded, reducing its clarity and usability for detailed analysis."}
{"id": "34526d4e-2f60-4d08-a565-6eb0ac875677", "image_1": "Description/single/34526d4e-2f60-4d08-a565-6eb0ac875677_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The presence of moderate Gaussian noise introduces grainy artifacts that obscure fine details and create a speckled appearance across the image. This noise diminishes interpretability by reducing clarity in boundaries between farmland plots and obscuring textures in vegetation areas. The overall image quality is moderately degraded, making it less suitable for precise analysis."}
{"id": "af493b10-d0ac-44a6-a475-a33e27c27ab7", "image_1": "Description/single/af493b10-d0ac-44a6-a475-a33e27c27ab7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The gaussian noise introduces a grainy texture across the image, disrupting the natural smoothness of the terrain and vegetation. Fine details, such as the clarity of small streams and individual tree structures, are obscured, reducing the ability to distinguish subtle features. The image quality is moderately degraded, making it less suitable for precise analysis or interpretation."}
{"id": "57c1b4c6-811b-4806-a93d-74865b794edb", "image_1": "Description/single/57c1b4c6-811b-4806-a93d-74865b794edb_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian noise introduces random color speckles across the image, obscuring fine details and creating a grainy appearance that disrupts visual clarity. Key features such as roads, building outlines, and vegetation patterns become indistinct, making it difficult to discern spatial structures or land use. The image quality is poor, significantly hindering its usability for analysis or interpretation."}
{"id": "40939a39-7998-4a45-aa2f-c29ea1f5dbd3", "image_1": "Description/single/40939a39-7998-4a45-aa2f-c29ea1f5dbd3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian noise introduces random color speckles across the image, obscuring fine details and creating a grainy appearance.  \nKey features such as building outlines, road networks, and vegetation patterns are heavily degraded, making it difficult to distinguish between different land cover types.  \nThe image quality is poor, significantly impairing its usability for visual interpretation or analytical purposes."}
{"id": "30666278-f7f4-4022-9a0a-aca6a833a9fc", "image_1": "Description/single/30666278-f7f4-4022-9a0a-aca6a833a9fc_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian noise introduces random color speckles across the image, obscuring structural details and creating a chaotic visual appearance. Key features such as the outlines of buildings, docks, and water boundaries are heavily degraded, making it challenging to discern spatial relationships and patterns. The image quality is poor, with significant loss of clarity and interpretability."}
{"id": "6b70bca5-0bfb-402c-b963-d3a64cc3059b", "image_1": "Description/single/6b70bca5-0bfb-402c-b963-d3a64cc3059b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian noise introduces a grainy texture across the image, obscuring fine details and creating a mottled appearance that disrupts uniformity.  \nKey features such as vegetation patterns and land boundaries are difficult to discern, significantly reducing the image's interpretability for analysis.  \nThe image quality is poor due to the overwhelming noise that compromises clarity and visual coherence."}
{"id": "c9f83b84-d07c-4421-8404-c1489741d256", "image_1": "Description/single/c9f83b84-d07c-4421-8404-c1489741d256_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian noise introduces a grainy texture across the image, obscuring fine details and creating a chaotic visual appearance.  \nKey features such as building edges, road layouts, and vegetation patterns become indistinct, significantly reducing the interpretability of the scene.  \nThe image quality is poor, with substantial degradation impacting its usability for analysis."}
{"id": "94ba262b-921f-488e-80b6-dd1aa7b84d65", "image_1": "Description/single/94ba262b-921f-488e-80b6-dd1aa7b84d65_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian noise introduces heavy graininess, obscuring fine details and creating a speckled appearance across the landscape. Key features such as the riverbanks and farmland boundaries are difficult to discern, and the texture of vegetation is significantly degraded. The image quality is poor, making it challenging to extract meaningful information."}
{"id": "484f92c9-f3ac-4b1c-9e3d-5188ebbe4292", "image_1": "Description/single/484f92c9-f3ac-4b1c-9e3d-5188ebbe4292_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian noise introduces a grainy texture across the image, obscuring fine details and creating uneven color patches that disrupt the uniformity of the farmland. The distortion significantly reduces interpretability, making it difficult to discern field boundaries, vegetation patterns, and structural features. The image quality is poor, with critical visual information lost due to the overwhelming noise."}
{"id": "1cc66933-9adc-4e67-8cb1-5b032a87eb33", "image_1": "Description/single/1cc66933-9adc-4e67-8cb1-5b032a87eb33_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian noise introduces a grainy texture across the image, obscuring fine details and creating a chaotic visual appearance. Key features such as building outlines, road networks, and vegetation patterns are heavily degraded, making it difficult to distinguish individual elements or analyze spatial relationships. The image quality is poor, significantly limiting its usability for interpretation or analysis."}
{"id": "7d734ef5-cce1-4872-a994-23c7f373724b", "image_1": "Description/single/7d734ef5-cce1-4872-a994-23c7f373724b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian noise introduces random color speckles across the image, obscuring fine details and creating a grainy appearance that disrupts visual clarity. The distortion significantly diminishes interpretability by masking features such as building outlines, road paths, and vegetation patterns, making it difficult to distinguish between different land cover types. The image quality is poor, with critical spatial information heavily degraded."}
{"id": "fc9fd443-5c20-49fa-b247-0782c4ecef9a", "image_1": "Description/single/fc9fd443-5c20-49fa-b247-0782c4ecef9a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian noise introduces random color speckles and graininess, obscuring fine details and creating a chaotic visual appearance. The distortion significantly reduces interpretability, making features like roads and structures indistinct and difficult to discern. The image quality is poor, with critical spatial information heavily degraded."}
{"id": "967dbf9d-9b64-42ec-b69c-fdc29e1512a4", "image_1": "Description/single/967dbf9d-9b64-42ec-b69c-fdc29e1512a4_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The gaussian noise introduces a grainy texture across the image, reducing the clarity of fine details and creating a slightly rough appearance. The distortion obscures subtle features such as road edges and diminishes the visibility of uniform patterns in the terrain, making interpretation of land use and structures more challenging. The overall image quality is moderately degraded, with noticeable loss of sharpness and detail."}
{"id": "65155506-40d1-4235-956f-83ceb1cefbd7", "image_1": "Description/single/65155506-40d1-4235-956f-83ceb1cefbd7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The gaussian noise introduces graininess across the image, making textures appear rough and reducing the clarity of fine details.  \nThe distortion obscures vegetation patterns and diminishes the visibility of smaller features like individual trees and road edges.  \nThe image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "4cfcbb6a-6616-43bd-a08d-69b3cad6dc63", "image_1": "Description/single/4cfcbb6a-6616-43bd-a08d-69b3cad6dc63_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian noise introduces random color speckles across the image, obscuring fine details and creating a chaotic visual appearance. Key features such as building outlines, road networks, and vegetation textures are heavily degraded, making it difficult to discern spatial patterns or interpret land use. The image quality is poor, significantly limiting its usability for analytical purposes."}
{"id": "9b3dffb4-8fab-4dc2-bb6e-de41d41b6345", "image_1": "Description/single/9b3dffb4-8fab-4dc2-bb6e-de41d41b6345_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian noise introduces grainy artifacts and random color speckles, significantly disrupting the uniformity of surfaces and creating a chaotic visual appearance. Key features such as road outlines, building structures, and vegetation patterns are obscured, making it difficult to discern spatial relationships and land use details. The image quality is poor, with substantial degradation affecting its usability for interpretation or analysis."}
{"id": "f162a40d-3c42-4659-8354-00f695c289d1", "image_1": "Description/single/f162a40d-3c42-4659-8354-00f695c289d1_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian noise introduces random color speckles across the image, obscuring details and creating a grainy appearance.  \nKey features such as roads, buildings, and vegetation boundaries are difficult to discern, significantly reducing interpretability and analytical value.  \nThe image quality is poor, with substantial degradation in clarity and visual coherence."}
{"id": "639c609e-5c29-4c3a-a57d-bae01a3b78ae", "image_1": "Description/single/639c609e-5c29-4c3a-a57d-bae01a3b78ae_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian noise introduces intense speckling across the image, obscuring natural textures and creating a chaotic visual appearance. The distortion significantly diminishes the ability to discern fine details, such as terrain features and water boundaries, making interpretation challenging. The image quality is poor due to the overwhelming noise disrupting spatial coherence and clarity."}
{"id": "03f1bd96-e89e-4ecb-b16e-a6af24609656", "image_1": "Description/single/03f1bd96-e89e-4ecb-b16e-a6af24609656_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian noise introduces a grainy texture that obscures fine details, making building edges and road outlines indistinct. The noise significantly reduces interpretability by masking critical features such as vegetation patterns and urban layouts, hindering spatial analysis. The image quality is poor due to the overwhelming distortion and loss of clarity."}
{"id": "be994963-425b-4cdf-807c-c7976b94b068", "image_1": "Description/single/be994963-425b-4cdf-807c-c7976b94b068_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian noise introduces random color speckles and graininess, obscuring fine details and creating a chaotic visual appearance. Key features such as building edges, road layouts, and vegetation patterns are heavily degraded, making it difficult to distinguish structures or analyze spatial relationships. The image quality is poor, with significant loss of clarity and interpretability."}
{"id": "45431557-27fc-4393-a416-e5aca7978f75", "image_1": "Description/single/45431557-27fc-4393-a416-e5aca7978f75_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian noise introduces random speckling and graininess, disrupting the uniformity of building rooftops and creating a chaotic visual texture. The distortion obscures fine details, such as road boundaries and vegetation patterns, making it difficult to discern structural layouts and land use. The image quality is poor, significantly hindering its usability for analysis or interpretation."}
{"id": "08fc4453-e92d-4034-96f1-6162dd8e81fa", "image_1": "Description/single/08fc4453-e92d-4034-96f1-6162dd8e81fa_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian noise introduces a dense grainy texture across the image, obscuring fine details and creating a chaotic visual appearance. Key features such as terrain patterns and vegetation textures are heavily degraded, making it difficult to discern natural structures or land use. The image quality is poor, significantly limiting its usability for interpretation or analysis."}
{"id": "95eae6fc-23f6-4c63-8031-c9257533d7a9", "image_1": "Description/single/95eae6fc-23f6-4c63-8031-c9257533d7a9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian noise introduces a grainy texture across the image, obscuring fine details and creating a chaotic visual appearance. Key features such as roads, buildings, and vegetation patterns are difficult to discern, reducing the image's interpretability for analysis. The image quality is poor due to the overwhelming distortion."}
{"id": "41f318b9-b304-4470-8036-a924fc9a71ee", "image_1": "Description/single/41f318b9-b304-4470-8036-a924fc9a71ee_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian noise introduces intense graininess, obscuring fine details and creating a chaotic visual texture across the image. The distortion significantly reduces interpretability, making features like building outlines, road networks, and vegetation patterns indistinct and challenging to discern. The image quality is poor, with critical spatial information heavily degraded."}
{"id": "c4c87cee-8e44-4140-8bb2-90be423739e2", "image_1": "Description/single/c4c87cee-8e44-4140-8bb2-90be423739e2_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe gaussian noise introduces random speckling and graininess, disrupting the uniformity of farmland and obscuring fine details in urban areas. The distortion diminishes interpretability by masking boundaries between land features and erasing textures critical for identifying vegetation and infrastructure. The image quality is poor, with significant degradation affecting clarity and usability."}
{"id": "81538e0f-f722-4d84-9ebf-2b8be1ff5aed", "image_1": "Description/single/81538e0f-f722-4d84-9ebf-2b8be1ff5aed_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian noise introduces random color speckles across the image, disrupting the natural texture and creating a grainy appearance. This distortion obscures fine details, making it difficult to discern patterns or identify features such as vegetation clusters or terrain variations. The image quality is poor, significantly impairing its usability for analysis or interpretation."}
{"id": "b5ab6b5a-b3a2-4ddb-951e-ee40b1627a3b", "image_1": "Description/single/b5ab6b5a-b3a2-4ddb-951e-ee40b1627a3b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe gaussian noise introduces random color speckles across the image, obscuring fine details and creating a chaotic visual appearance. Key features such as building outlines and road networks are heavily degraded, making it difficult to discern structural patterns or spatial relationships. The image quality is poor, significantly impairing its usability for interpretation or analysis."}
{"id": "a5cb8281-35e9-46f2-8e6e-34cba66aed4e", "image_1": "Description/single/a5cb8281-35e9-46f2-8e6e-34cba66aed4e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Impulse noise introduces scattered bright and dark pixels across the image, disrupting the uniformity of building rooftops and road surfaces.  \nThe noise obscures fine details, making it difficult to discern road boundaries and individual structures within residential areas.  \nThe image quality is moderately degraded, reducing its clarity and suitability for detailed analysis."}
{"id": "92cd9ccd-eae0-489a-ac7d-b59a7580ca2c", "image_1": "Description/single/92cd9ccd-eae0-489a-ac7d-b59a7580ca2c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The impulse noise creates a speckled appearance across the image, disrupting the uniformity of surfaces and introducing distracting artifacts. Key features such as building outlines and road networks are obscured, making it difficult to discern structural details and spatial relationships. The image quality is poor, significantly hindering its usability for analysis or interpretation."}
{"id": "500a36b8-1011-4cbf-83bd-f1fabf83624d", "image_1": "Description/single/500a36b8-1011-4cbf-83bd-f1fabf83624d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Impulse noise introduces scattered bright and dark specks across the image, disrupting the uniformity of surfaces and creating a grainy appearance.  \nThe noise obscures fine details, such as road markings and vegetation patterns, making it difficult to distinguish features and assess spatial relationships accurately.  \nThe image quality is moderately degraded, reducing its suitability for precise analysis or interpretation."}
{"id": "5cb94d47-3256-45ec-90f1-4052cb54a819", "image_1": "Description/single/5cb94d47-3256-45ec-90f1-4052cb54a819_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Impulse noise introduces scattered bright and dark specks across the image, disrupting its uniform texture and creating a grainy appearance.  \nThe noise obscures fine details, making it difficult to discern subtle variations in surface features and reducing the clarity of spatial patterns.  \nThe image quality is moderately degraded, with noticeable impairments to visual coherence and interpretability."}
{"id": "149d9cc5-d6eb-4612-a4c6-da1a4beb1382", "image_1": "Description/single/149d9cc5-d6eb-4612-a4c6-da1a4beb1382_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The impulse noise introduces scattered bright and dark specks across the image, disrupting the uniformity of natural and urban features. This noise obscures fine details, such as the clarity of road networks and the texture of vegetation, making it harder to interpret spatial patterns. The overall image quality is moderately degraded, reducing its usability for detailed analysis."}
{"id": "66d63557-97a4-44ed-bae4-c3657fd3938b", "image_1": "Description/single/66d63557-97a4-44ed-bae4-c3657fd3938b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe impulse noise introduces a dense pattern of bright and dark speckles across the image, disrupting the natural appearance of vegetation and terrain. This noise obscures fine details, such as the texture of forested areas and the clarity of built structures, making it difficult to distinguish features like roads or residential layouts. The image quality is poor, significantly impairing its usability for visual interpretation or analysis."}
{"id": "e12ca81d-c289-4a05-863d-a9492ad1d4f4", "image_1": "Description/single/e12ca81d-c289-4a05-863d-a9492ad1d4f4_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe impulse noise introduces random bright and dark specks across the image, disrupting the uniform appearance of farmland and creating a chaotic visual texture. The noise obscures fine details such as road boundaries and vegetation patterns, making it difficult to interpret spatial features accurately. The image quality is poor due to the overwhelming distortion and loss of clarity."}
{"id": "0d12a529-d6a2-412c-968d-d6bdfcfd7344", "image_1": "Description/single/0d12a529-d6a2-412c-968d-d6bdfcfd7344_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe impulse noise introduces bright and dark speckles across the image, disrupting the natural appearance of buildings, vegetation, and open spaces. The noise obscures fine details, making roads, structures, and terrain features difficult to discern and reducing the ability to interpret spatial patterns. The image quality is poor, with significant degradation affecting its usability for analysis."}
{"id": "8df698ac-848f-4c01-8df8-91bf7f23925f", "image_1": "Description/single/8df698ac-848f-4c01-8df8-91bf7f23925f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe impulse noise introduces numerous bright and dark speckles across the image, disrupting the uniformity of natural textures and creating a grainy appearance. The noise obscures fine details such as the clarity of road edges and the distinct patterns of vegetation, making it challenging to interpret land features accurately. The image quality is poor due to the overwhelming visual distortion."}
{"id": "2c73003a-5bf1-428c-bb21-6bc860c7c97c", "image_1": "Description/single/2c73003a-5bf1-428c-bb21-6bc860c7c97c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe impulse noise introduces random bright and dark speckles across the image, disrupting the uniformity of the terrain and structures. The noise obscures fine details, making it difficult to discern building outlines and road paths, reducing the clarity of spatial patterns. The image quality is poor, significantly hindering its usability for analysis or interpretation."}
{"id": "35b0b395-069e-447f-a65f-d5ac2d7a4f6d", "image_1": "Description/single/35b0b395-069e-447f-a65f-d5ac2d7a4f6d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe impulse noise introduces a dense pattern of bright speckles across the image, disrupting the natural texture and visual uniformity of the landscape. Key features such as roads and vegetation boundaries are obscured, making it difficult to distinguish details or interpret spatial relationships. The image quality is poor, significantly hindering its usability for analysis or observation."}
{"id": "b4914e74-4441-414f-a66c-908cd89061c7", "image_1": "Description/single/b4914e74-4441-414f-a66c-908cd89061c7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe impulse noise introduces random bright and dark speckles across the image, obscuring details and creating a grainy appearance. Key features such as building edges, road boundaries, and vegetation patterns are heavily disrupted, making it difficult to discern structural or spatial information. The image quality is poor, significantly limiting its usability for interpretation or analysis."}
{"id": "03bc2bf1-caa6-4cda-a138-a7b3eabb3adc", "image_1": "Description/single/03bc2bf1-caa6-4cda-a138-a7b3eabb3adc_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe impulse noise introduces random bright and dark specks across the image, disrupting the uniform appearance of the sandy terrain. The noise obscures fine details such as subtle texture variations and small features, making it difficult to discern patterns or identify specific elements. The image quality is poor, significantly impairing its usability for analysis or interpretation."}
{"id": "30f4a792-0e04-43ae-bff8-27bfd453bfb1", "image_1": "Description/single/30f4a792-0e04-43ae-bff8-27bfd453bfb1_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe impulse noise introduces a dense pattern of bright and dark speckles, obscuring fine details and creating a distracting visual effect across the image. Key features such as building outlines, road networks, and vegetation textures are heavily degraded, making it difficult to distinguish between urban and natural areas. The image quality is poor, significantly limiting its usability for interpretation or analysis."}
{"id": "00511bf6-7790-4425-aa5b-b9cd217111e9", "image_1": "Description/single/00511bf6-7790-4425-aa5b-b9cd217111e9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe impulse noise creates a speckled appearance across the image, disrupting uniform textures and introducing random bright and dark spots. The noise obscures fine details, such as the clarity of railway tracks and building structures, making it difficult to interpret spatial patterns accurately. The image quality is poor, significantly hindering its usability for analysis or visual interpretation."}
{"id": "874132e5-38bb-4aca-a590-8501ead3f67f", "image_1": "Description/single/874132e5-38bb-4aca-a590-8501ead3f67f_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Impulse noise introduces scattered bright and dark specks across the image, disrupting the uniformity of urban structures and vegetation.  \nThe noise obscures fine details, making roads, building edges, and vegetation textures harder to distinguish and reducing interpretability for urban analysis.  \nThe image quality is moderately degraded, with noticeable impairments to clarity and visual coherence."}
{"id": "a12295b1-d900-4e86-affa-763e67be0fcf", "image_1": "Description/single/a12295b1-d900-4e86-affa-763e67be0fcf_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The impulse noise introduces scattered bright and dark specks across the image, disrupting the uniformity of urban and natural features. Fine details, such as road networks and vegetation textures, are obscured, making it difficult to distinguish specific structures and land cover types. The image quality is moderately degraded, reducing its clarity and analytical utility."}
{"id": "c19c9523-c0ec-4ea9-a038-54fcd94fa69c", "image_1": "Description/single/c19c9523-c0ec-4ea9-a038-54fcd94fa69c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe impulse noise introduces a dense pattern of bright and dark speckles, disrupting the uniformity of farmland and urban areas. The noise obscures fine details, making roads, building edges, and vegetation textures difficult to distinguish and interpret. The image quality is poor, significantly impairing its usability for analysis or visual interpretation."}
{"id": "56a2b130-de6e-449c-a189-c5a30a2287af", "image_1": "Description/single/56a2b130-de6e-449c-a189-c5a30a2287af_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe impulse noise introduces random bright and dark specks across the image, disrupting the uniformity of urban and rural areas. The noise obscures fine details such as building outlines and road networks, making it difficult to distinguish infrastructure and land use patterns. The image quality is poor, significantly hindering its usability for analysis or interpretation."}
{"id": "289458ad-a929-4d58-a202-1efe3d47192d", "image_1": "Description/single/289458ad-a929-4d58-a202-1efe3d47192d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe impulse noise introduces random bright and dark specks across the image, disrupting the uniformity of urban and agricultural areas. The noise obscures fine details, such as building outlines and road structures, and diminishes the clarity of farmland patterns and water features. The image quality is poor, significantly impairing its usability for visual interpretation or analysis."}
{"id": "659172e2-6f14-4287-ba50-78078dc7f7d4", "image_1": "Description/single/659172e2-6f14-4287-ba50-78078dc7f7d4_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe impulse noise introduces a dense pattern of bright and dark speckles, disrupting the uniform appearance of the water surface and surrounding structures. This noise obscures fine details, making features like bridges and small objects difficult to distinguish and reducing the clarity of spatial relationships. The image quality is poor, significantly impairing its usability for visual interpretation or analysis."}
{"id": "f0195d8f-c307-4a83-b795-c93fb7de5de0", "image_1": "Description/single/f0195d8f-c307-4a83-b795-c93fb7de5de0_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe impulse noise introduces random bright and dark speckles across the image, disrupting the uniformity and creating a chaotic appearance. Key features such as building outlines and road structures are obscured, making it difficult to discern spatial patterns and interpret the scene accurately. The image quality is poor, significantly impairing its usability for detailed analysis or visual interpretation."}
{"id": "a3ecae41-6abd-4091-b176-f9557049ec12", "image_1": "Description/single/a3ecae41-6abd-4091-b176-f9557049ec12_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe impulse noise introduces numerous bright and dark speckles across the image, disrupting the natural texture and creating a chaotic visual appearance. Key features such as terrain patterns and fine details are obscured, making it difficult to discern structural elements or analyze spatial relationships. The image quality is poor, with significant degradation affecting its usability for interpretation or analysis."}
{"id": "ef6b49a6-93f2-4a53-b4d5-d633d2657c45", "image_1": "Description/single/ef6b49a6-93f2-4a53-b4d5-d633d2657c45_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe impulse noise introduces random bright and dark specks across the image, disrupting the uniformity of the surface textures and creating a grainy appearance. The noise obscures critical details, such as road markings and structural boundaries, making it difficult to discern features like the roundabout and nearby infrastructure. The image quality is poor, significantly impairing its usability for visual interpretation or analysis."}
{"id": "36876f4b-0bdf-4635-8eb7-372221934cae", "image_1": "Description/single/36876f4b-0bdf-4635-8eb7-372221934cae_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe impulse noise creates a speckled appearance across the image, disrupting the uniformity of farmland and forested areas. Key features such as road outlines and vegetation textures are obscured, making it difficult to distinguish boundaries and land cover types. The image quality is poor, significantly hindering visual interpretation and analytical usability."}
{"id": "cfd007c8-2e79-4613-bb2d-2620631e711e", "image_1": "Description/single/cfd007c8-2e79-4613-bb2d-2620631e711e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe impulse noise introduces numerous bright and dark speckles across the image, disrupting the natural appearance of the landscape and making features harder to distinguish. Key details such as road boundaries, building structures, and vegetation patterns are obscured, significantly reducing the interpretability of the image. The overall image quality is poor due to the overwhelming presence of noise."}
{"id": "3de602ff-7f71-4a7b-b8d7-da9af64271c2", "image_1": "Description/single/3de602ff-7f71-4a7b-b8d7-da9af64271c2_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe impulse noise introduces random bright and dark speckles across the image, disrupting the uniformity of farmland and creating a grainy appearance.  \nThe noise obscures fine details, such as building edges and road boundaries, making it difficult to distinguish structures and interpret spatial patterns.  \nThe image quality is poor, with significant degradation affecting its visual clarity and analytical usability."}
{"id": "18cea013-03a2-4ab4-9546-5f022a567b83", "image_1": "Description/single/18cea013-03a2-4ab4-9546-5f022a567b83_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The impulse noise introduces numerous bright and dark specks across the image, disrupting the natural texture and smoothness of the terrain. The severe noise obscures fine details in the geological features, making it difficult to discern subtle ridges and valleys. The image quality is poor, significantly hindering its usability for visual interpretation or analysis."}
{"id": "7093decb-9cb6-40f1-9b5e-e703091c355c", "image_1": "Description/single/7093decb-9cb6-40f1-9b5e-e703091c355c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe impulse noise introduces numerous bright and dark speckles across the image, disrupting the natural appearance of urban structures and vegetation. This distortion obscures fine details, making roads, building layouts, and vegetation patterns difficult to discern and reducing the image's analytical utility. The image quality is poor due to the overwhelming noise and loss of clarity."}
{"id": "ba4204f4-ca00-4a7e-84c1-129eab1a10e9", "image_1": "Description/single/ba4204f4-ca00-4a7e-84c1-129eab1a10e9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe impulse noise introduces a dense pattern of bright and dark speckles, significantly disrupting the natural texture of vegetation and built structures. This distortion obscures fine details, making roads, building outlines, and land features difficult to discern and interpret accurately. The image quality is poor, with substantial degradation in visual clarity and analytical usability."}
{"id": "e6148123-4406-4386-9408-e3d7841288f4", "image_1": "Description/single/e6148123-4406-4386-9408-e3d7841288f4_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The spatially correlated noise introduces a grainy texture across the image, causing slight blurring that softens the edges of natural features like riverbanks and vegetation boundaries. This noise obscures fine details, making it difficult to discern smaller structures and reducing the clarity of land cover patterns. The image quality is moderate, with noticeable degradation impacting its visual and analytical utility."}
{"id": "a6fc4410-8aaf-4ca9-8337-72e585d69a31", "image_1": "Description/single/a6fc4410-8aaf-4ca9-8337-72e585d69a31_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe spatially correlated noise creates a grainy texture that disrupts the uniform appearance of the landscape and introduces unnatural patterns across the image. The noise obscures fine details, such as vegetation distribution and field boundaries, making it difficult to interpret land use or identify specific features. The image quality is poor, significantly limiting its usability for analysis."}
{"id": "bb1a96f4-173a-45cf-a728-2e46e6a76286", "image_1": "Description/single/bb1a96f4-173a-45cf-a728-2e46e6a76286_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The spatially correlated noise introduces a grainy texture that disrupts the smooth appearance of the terrain, creating uneven patches and softening natural features. This noise obscures finer details, such as the clarity of vegetation patterns and the definition of pathways, reducing the interpretability of the landscape. The image quality is moderately degraded, making it less suitable for detailed analysis."}
{"id": "8d46ba6f-93a9-4b50-a3d5-15bfb6a957c1", "image_1": "Description/single/8d46ba6f-93a9-4b50-a3d5-15bfb6a957c1_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The spatially correlated noise introduces a grainy texture that slightly blurs building edges and reduces the clarity of urban structures. Fine details, such as road layouts and smaller features, are obscured, making it difficult to interpret the spatial arrangement of the area. The image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "e2af805d-78dc-4b31-9ad4-1b6483162647", "image_1": "Description/single/e2af805d-78dc-4b31-9ad4-1b6483162647_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The spatially correlated noise introduces a grainy texture across the image, slightly obscuring finer details and creating a soft haze over natural features. This distortion reduces interpretability by making road paths less distinct and diminishing the clarity of vegetation patterns. The overall image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "2e8a3d26-014f-4538-9af9-74b40ebff379", "image_1": "Description/single/2e8a3d26-014f-4538-9af9-74b40ebff379_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe spatially correlated noise introduces prominent grainy patterns and uneven color patches, disrupting the natural appearance of the terrain and making features like farmland and vegetation appear fragmented. Key details such as road networks and field boundaries are obscured, significantly reducing the ability to interpret land use or identify specific structures. The image quality is poor, with substantial degradation in clarity and visual coherence."}
{"id": "06056a74-5290-41dc-97fd-946fcda54bad", "image_1": "Description/single/06056a74-5290-41dc-97fd-946fcda54bad_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe spatially correlated noise introduces a grainy texture across the image, obscuring fine details and creating uneven color patterns that disrupt visual coherence. The distortion significantly diminishes interpretability, making features like vegetation patterns and terrain contours indistinct and challenging to analyze. The image quality is poor, with critical information lost due to the pervasive noise."}
{"id": "2658f2d7-402b-4170-bf00-6b1d0b52322d", "image_1": "Description/single/2658f2d7-402b-4170-bf00-6b1d0b52322d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe spatially correlated noise introduces prominent graininess and irregular patterns, obscuring fine details and creating a mottled appearance across the image. The distortion significantly diminishes interpretability, making features like roads, vegetation boundaries, and land parcels indistinct and challenging to discern. The image quality is poor, with critical spatial information heavily degraded."}
{"id": "3b5556b4-bb6a-4fa7-a64a-f3603ca1b649", "image_1": "Description/single/3b5556b4-bb6a-4fa7-a64a-f3603ca1b649_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe spatially correlated noise creates a grainy texture that obscures natural transitions, making the surface appear uneven and unnatural.  \nKey features such as terrain patterns and vegetation details are heavily degraded, reducing the ability to discern meaningful structures or land cover types.  \nThe image quality is poor, with significant loss of clarity and interpretability."}
{"id": "73f2a85d-9940-42ba-9347-df03bff45ffe", "image_1": "Description/single/73f2a85d-9940-42ba-9347-df03bff45ffe_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The spatially correlated noise at a severe level introduces heavy graininess and uneven color patches, disrupting the natural patterns of the landscape and creating a visually chaotic appearance. Key features such as river outlines and field boundaries are obscured, making it difficult to discern structural details or identify land use accurately. The image quality is poor, significantly impairing its usability for interpretation or analysis."}
{"id": "8ac69508-a4b8-4540-a5ec-44b124295a1c", "image_1": "Description/single/8ac69508-a4b8-4540-a5ec-44b124295a1c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The spatially correlated noise at a severe level introduces heavy graininess and color inconsistencies, obscuring fine details and creating a mottled appearance across the image. This distortion significantly reduces interpretability, as features like farmland boundaries and vegetation textures become indistinct and challenging to discern. The overall image quality is poor, with critical visual information heavily degraded."}
{"id": "434b4427-7f7f-4a97-88bc-edde65dc3fdc", "image_1": "Description/single/434b4427-7f7f-4a97-88bc-edde65dc3fdc_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe spatially correlated noise creates a grainy texture that obscures fine details and introduces unnatural color variations across the image. Building edges and structural outlines are heavily blurred, making it difficult to distinguish individual features or assess spatial relationships. The image quality is poor, significantly limiting its usability for detailed analysis or interpretation."}
{"id": "a2b32cf0-21a7-459f-b13f-54ff27e25c56", "image_1": "Description/single/a2b32cf0-21a7-459f-b13f-54ff27e25c56_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe spatially correlated noise creates a grainy texture that obscures fine details and introduces unnatural patterns across the image.  \nKey features such as building edges, road layouts, and vegetation boundaries are difficult to discern, reducing the image's usability for analysis.  \nThe image quality is poor, with significant degradation impacting both visual clarity and interpretability."}
{"id": "9f0bb0b6-d49b-4f70-aa28-448ec864ca83", "image_1": "Description/single/9f0bb0b6-d49b-4f70-aa28-448ec864ca83_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe spatially correlated noise introduces grainy patterns and uneven textures, disrupting the uniform appearance of farmland and obscuring fine details. The distortion diminishes interpretability by making road boundaries indistinct and masking vegetation patterns, which are critical for analysis. The image quality is poor due to the overwhelming noise and loss of clarity."}
{"id": "2de42958-3cdd-424e-bd92-2d1860f7e69a", "image_1": "Description/single/2de42958-3cdd-424e-bd92-2d1860f7e69a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The spatially correlated noise introduces a grainy texture across the image, disrupting the natural smoothness of vegetation and creating an uneven appearance. The severe noise obscures fine details, making it difficult to discern vegetation patterns and terrain features accurately. The image quality is poor, significantly limiting its usability for detailed analysis or interpretation."}
{"id": "ecebc651-b27a-4464-84fa-f9a27c4b03c2", "image_1": "Description/single/ecebc651-b27a-4464-84fa-f9a27c4b03c2_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The spatially correlated noise introduces a grainy texture that softens the edges of buildings and blurs the boundaries between farmland and vegetation. This noise obscures fine details, making road centerlines and smaller structures difficult to discern, while diminishing the clarity of vegetation patterns. The image quality is moderately degraded, reducing its suitability for detailed analysis."}
{"id": "ea74718c-3ea3-437c-84bf-e9d6e6733e4c", "image_1": "Description/single/ea74718c-3ea3-437c-84bf-e9d6e6733e4c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The spatially correlated noise introduces a grainy texture that softens building edges and reduces the clarity of urban structures. Fine details, such as road layouts and small features, are obscured, making it difficult to distinguish between different land-use areas. The image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "20b344c0-f203-46ae-9c9f-0e18508e4a8e", "image_1": "Description/single/20b344c0-f203-46ae-9c9f-0e18508e4a8e_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The spatially correlated noise creates a grainy texture that obscures fine details and introduces unnatural patterns across the image, making features like buildings and roads appear fragmented. The distortion significantly reduces interpretability, as linear structures such as roads and the organization of urban areas are difficult to discern, and vegetation patterns lose clarity. The image quality is poor, with severe degradation impacting its usability for analysis or visual interpretation."}
{"id": "86bef4ee-c346-4662-9153-297a299899fe", "image_1": "Description/single/86bef4ee-c346-4662-9153-297a299899fe_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The spatially correlated noise creates a grainy texture that obscures fine details and introduces unnatural color variations across the landscape. Key features such as vegetation patterns and land boundaries are difficult to discern, significantly reducing the image's interpretability for analysis. The image quality is poor due to the severe distortion and loss of clarity."}
{"id": "54e5d11a-6eb1-4db5-9789-9995f2cbcc95", "image_1": "Description/single/54e5d11a-6eb1-4db5-9789-9995f2cbcc95_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe spatially correlated noise introduces prominent grainy patterns, disrupting the uniformity of the terrain and causing significant visual clutter.  \nKey features such as the runway and surrounding vegetation lose clarity, making it difficult to distinguish boundaries and interpret land use effectively.  \nThe image quality is poor, with substantial degradation impacting both visual perception and analytical usability."}
{"id": "3db8d7c0-cefa-4171-b87d-ced73595b7d3", "image_1": "Description/single/3db8d7c0-cefa-4171-b87d-ced73595b7d3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe spatially correlated noise introduces prominent color patches and graininess, obscuring fine details and creating a chaotic visual appearance. Key features such as building edges and road structures are heavily distorted, making it difficult to discern their shapes and positions accurately. The image quality is poor, significantly limiting its usability for interpretation or analysis."}
{"id": "e78e0584-4ca2-4da4-89e3-9ae532caa465", "image_1": "Description/single/e78e0584-4ca2-4da4-89e3-9ae532caa465_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe spatially correlated noise causes significant blurring and graininess, making building edges and fine details indistinct. The distortion obscures critical features such as road outlines, vegetation patterns, and small structures, reducing the image's interpretability for analysis. The overall image quality is poor, with substantial degradation in clarity and detail."}
{"id": "bb9ac68d-1a56-46ef-b957-6ec76846e2aa", "image_1": "Description/single/bb9ac68d-1a56-46ef-b957-6ec76846e2aa_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe spatially correlated noise creates a grainy texture that obscures fine details and introduces unnatural color variations across the image.  \nKey features such as building outlines, road networks, and vegetation patterns are difficult to discern, significantly reducing interpretability and analytical value.  \nThe image quality is poor, with substantial degradation affecting its usability for detailed analysis."}
{"id": "20184bf9-5950-414a-9318-86915b317696", "image_1": "Description/single/20184bf9-5950-414a-9318-86915b317696_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe spatially correlated noise causes significant blurring, obscuring fine details and creating a mottled texture across the landscape. The distortion diminishes interpretability by masking features such as roads, vegetation patterns, and terrain contours, making them indistinct and difficult to analyze. The image quality is poor, with critical visual information heavily degraded."}
{"id": "1fddc8e3-2c65-4629-ac24-f1dac33e8aa7", "image_1": "Description/single/1fddc8e3-2c65-4629-ac24-f1dac33e8aa7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe spatially correlated noise introduces a grainy texture that obscures fine details and creates uneven patterns across the landscape. Key features such as roads and agricultural plots lose clarity, making boundaries and textures difficult to discern. The image quality is poor, significantly limiting its usability for detailed analysis."}
{"id": "b7b40b90-357e-4bff-955a-c9b06cce6832", "image_1": "Description/single/b7b40b90-357e-4bff-955a-c9b06cce6832_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe spatially correlated noise creates a grainy texture across the image, obscuring fine details and introducing unnatural patterns that disrupt the visual continuity of the landscape. Key features such as roads, vegetation boundaries, and small structures are difficult to discern, significantly reducing the interpretability of the image for analysis. The overall image quality is poor, with substantial degradation affecting its usability for detailed observation or remote sensing applications."}
{"id": "5a6a1dc0-6b23-4954-a2a0-c0570cef27c3", "image_1": "Description/single/5a6a1dc0-6b23-4954-a2a0-c0570cef27c3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The severe spatially correlated noise introduces a grainy texture that obscures fine details and creates a mottled appearance across the image. Vegetation patterns and terrain features are heavily degraded, making it difficult to discern natural structures or boundaries. The image quality is poor, significantly limiting its usability for interpretation or analysis."}
{"id": "7e67574e-024b-4a1f-baba-49af0ef07d3c", "image_1": "Description/single/7e67574e-024b-4a1f-baba-49af0ef07d3c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe spatially correlated noise introduces prominent color patches and graininess, disrupting the uniform appearance of farmland and urban areas. The distortion obscures fine details such as building edges, road centerlines, and vegetation textures, significantly reducing interpretability for analysis. The image quality is poor due to the overwhelming noise and loss of clarity."}
{"id": "f7df45f4-6446-4b51-9530-d04b46362fb7", "image_1": "Description/single/f7df45f4-6446-4b51-9530-d04b46362fb7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The spatially correlated noise creates a speckled appearance that disrupts the uniformity of colors and textures, making features like buildings and vegetation appear fragmented. The distortion obscures fine details, such as road layouts and individual structures, reducing the ability to interpret spatial patterns and land use effectively. The image quality is poor due to the severe degradation caused by the noise."}
{"id": "baacb948-c1a7-4065-9210-9ef7c031c158", "image_1": "Description/single/baacb948-c1a7-4065-9210-9ef7c031c158_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe spatially correlated noise creates a grainy texture that obscures fine details and introduces unnatural patterns across the image. The distortion significantly reduces interpretability by masking vegetation structures and terrain features, making it difficult to discern spatial patterns. The image quality is poor due to the overwhelming noise and loss of clarity."}
{"id": "ab90e6fe-7ab6-49cb-8f12-3562d730435d", "image_1": "Description/single/ab90e6fe-7ab6-49cb-8f12-3562d730435d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The stripe noise introduces vertical artifacts across the image, disrupting the natural continuity of features like roads and vegetation. These artifacts obscure fine details, making it difficult to discern smaller structures and diminishing the clarity of land cover patterns. The image quality is moderately degraded, impairing its usability for detailed analysis."}
{"id": "54a02ac6-207c-42c8-8e3f-5d019805672d", "image_1": "Description/single/54a02ac6-207c-42c8-8e3f-5d019805672d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise creates repetitive horizontal artifacts that disrupt the uniformity of the urban landscape, making building edges and structural details appear fragmented. The distortion obscures fine details such as road intersections and building layouts, significantly reducing the interpretability of the urban environment. The image quality is poor, with critical spatial information compromised by the pervasive noise."}
{"id": "c83a17f2-116d-4fea-8787-fb206a9d377a", "image_1": "Description/single/c83a17f2-116d-4fea-8787-fb206a9d377a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Stripe noise introduces horizontal lines across the image, disrupting the natural texture and creating a visually distracting pattern. The noise obscures fine details in the terrain, making it difficult to discern subtle features such as small geological formations or surface variations. The image quality is moderately degraded, reducing its suitability for detailed analysis."}
{"id": "b82fc759-3667-4f94-887f-93c78c8434b4", "image_1": "Description/single/b82fc759-3667-4f94-887f-93c78c8434b4_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Stripe noise at a moderate level introduces repetitive horizontal artifacts that disrupt the natural texture of the surface, creating a visually uneven appearance.  \nThe distortion obscures fine details, such as subtle surface patterns and small features, reducing the clarity and interpretability of the image.  \nThe overall image quality is moderately degraded, making it less suitable for precise analysis or detailed observation."}
{"id": "75f62bfa-c42a-42c5-9cb3-517a8dbd2ef3", "image_1": "Description/single/75f62bfa-c42a-42c5-9cb3-517a8dbd2ef3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The stripe noise introduces horizontal bands across the image, disrupting the uniform appearance of the forested area and creating visual distractions. The noise obscures fine details in the vegetation texture, making it difficult to discern subtle variations or patterns within the forest canopy. The image quality is moderately degraded, reducing its suitability for detailed analysis."}
{"id": "73ca83d0-8777-4c27-a6e2-ee664e4f4035", "image_1": "Description/single/73ca83d0-8777-4c27-a6e2-ee664e4f4035_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise creates horizontal bands that disrupt the uniformity of the terrain, making features like buildings and vegetation appear fragmented and inconsistent. The distortion obscures fine details, such as road patterns and field boundaries, reducing the ability to interpret spatial relationships and land use effectively. The image quality is poor, significantly limiting its usability for analysis or visual interpretation."}
{"id": "93c08de1-0ece-441b-b6e7-d90109213870", "image_1": "Description/single/93c08de1-0ece-441b-b6e7-d90109213870_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise creates prominent horizontal bands that disrupt the uniformity of the landscape, making features like farmland and vegetation appear fragmented and inconsistent. The noise obscures fine details, such as road networks and field boundaries, reducing the clarity and interpretability of spatial patterns. The image quality is poor, with significant degradation affecting its usability for analysis."}
{"id": "984f1e06-5958-4e14-b4e7-bb9e205cdc4d", "image_1": "Description/single/984f1e06-5958-4e14-b4e7-bb9e205cdc4d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise introduces horizontal artifacts that disrupt the uniformity of building textures and road surfaces, creating a visually chaotic appearance. The distortion obscures fine details such as road intersections and building outlines, significantly reducing the image's interpretability for urban analysis. The image quality is poor due to the overwhelming presence of stripe noise."}
{"id": "ebf74615-6938-4b52-ba19-b46c1167c927", "image_1": "Description/single/ebf74615-6938-4b52-ba19-b46c1167c927_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise creates prominent vertical bands that disrupt the uniform texture and natural appearance of the terrain. The distortion obscures fine details, making it difficult to discern subtle features such as surface patterns or gradients. The image quality is poor, significantly impairing its usability for analysis or interpretation."}
{"id": "ccb96e21-8a8a-4d20-9373-6b418d77661c", "image_1": "Description/single/ccb96e21-8a8a-4d20-9373-6b418d77661c_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise introduces horizontal bands across the image, disrupting the uniformity of farmland and obscuring fine details. The distortion significantly reduces interpretability, making features like vegetation patterns and road edges difficult to discern. The image quality is poor, with critical visual information heavily degraded."}
{"id": "59990b18-577b-403f-8158-785d8fa6494b", "image_1": "Description/single/59990b18-577b-403f-8158-785d8fa6494b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise creates prominent horizontal bands that disrupt the uniformity of the image, making building edges and fine details appear fragmented and unclear. The distortion obscures critical features such as road layouts and vegetation patterns, significantly reducing the ability to interpret spatial relationships and land use. The image quality is poor, with substantial degradation impacting its usability for analysis."}
{"id": "a3ebce95-9a38-46fb-aff5-6f608ca676b9", "image_1": "Description/single/a3ebce95-9a38-46fb-aff5-6f608ca676b9_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise introduces prominent horizontal artifacts, disrupting the uniformity of the landscape and creating a visually chaotic appearance. Key features such as road outlines and building structures are obscured, making it difficult to discern details or analyze spatial relationships. The image quality is poor, significantly hindering its usability for interpretation or analysis."}
{"id": "e4a1ac5d-e01f-4c66-8abf-5d463a9c11dc", "image_1": "Description/single/e4a1ac5d-e01f-4c66-8abf-5d463a9c11dc_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise creates prominent horizontal bands that disrupt the uniformity of the image, making features like roads and buildings appear fragmented and inconsistent. The distortion obscures critical details, such as road intersections and building outlines, reducing the ability to interpret spatial relationships and infrastructure layout. The image quality is poor, significantly hindering its usability for analysis or visual interpretation."}
{"id": "beaa2500-947c-4d55-8795-b79fd726b214", "image_1": "Description/single/beaa2500-947c-4d55-8795-b79fd726b214_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise creates prominent horizontal bands that disrupt the natural continuity of the landscape, making vegetation and terrain features appear fragmented. The distortion obscures fine details, such as road outlines and subtle variations in vegetation texture, reducing the ability to interpret spatial patterns accurately. The image quality is poor, significantly impairing its usability for analysis or visual interpretation."}
{"id": "e59f39d3-55df-4a64-b723-1562f67c027d", "image_1": "Description/single/e59f39d3-55df-4a64-b723-1562f67c027d_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise introduces horizontal bands across the image, disrupting the natural texture and creating a visually distracting pattern. The distortion obscures fine details in the terrain, making features like ridges and valleys difficult to discern and reducing the interpretability of the landscape. The image quality is poor due to the overwhelming presence of stripe noise."}
{"id": "a081dfd2-c573-481b-8a02-013e30a0e167", "image_1": "Description/single/a081dfd2-c573-481b-8a02-013e30a0e167_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Stripe noise at a moderate level introduces repetitive horizontal artifacts that disrupt the natural texture of the terrain, making the surface appear uneven and artificially segmented.  \nThe distortion obscures fine details such as road edges and subtle vegetation patterns, reducing the clarity and interpretability of the image for analytical purposes.  \nThe overall image quality is moderately degraded, impacting its usability for precise remote sensing analysis."}
{"id": "384888f0-09f6-4d8c-82e3-b33687c2e6d6", "image_1": "Description/single/384888f0-09f6-4d8c-82e3-b33687c2e6d6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "The stripe noise introduces repetitive horizontal artifacts that disrupt the uniformity of the image, making features like roads and buildings appear fragmented and less distinct. This distortion obscures fine details, such as the texture of vegetation and the clarity of urban layouts, reducing the interpretability of key spatial patterns. The overall image quality is moderately degraded, impacting its usability for detailed analysis."}
{"id": "13514839-d2a8-48ca-b6b3-7b674e13cf02", "image_1": "Description/single/13514839-d2a8-48ca-b6b3-7b674e13cf02_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise creates prominent vertical bands that obscure details and disrupt the uniformity of urban structures and open spaces. The distortion significantly reduces interpretability, making features like roads, building edges, and water bodies difficult to discern. The image quality is poor, with critical spatial information heavily degraded."}
{"id": "99020c93-b082-4abe-889c-ab07660ba2c6", "image_1": "Description/single/99020c93-b082-4abe-889c-ab07660ba2c6_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise creates prominent horizontal bands that disrupt the uniformity of the image, making urban structures appear fragmented and inconsistent. The distortion obscures fine details such as building outlines and road intersections, significantly reducing the ability to interpret spatial patterns and land use. The image quality is poor, with critical visual information heavily degraded."}
{"id": "ebdc3207-f6ff-4891-85c2-f8448cc723d2", "image_1": "Description/single/ebdc3207-f6ff-4891-85c2-f8448cc723d2_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise introduces horizontal bands that disrupt the uniformity of the image, creating a fragmented and visually chaotic appearance. The distortion obscures fine details such as building edges and road structures, making it difficult to discern spatial patterns or interpret urban features accurately. The image quality is poor, significantly limiting its usability for analysis or interpretation."}
{"id": "ce41a016-325c-488b-8e79-62dcb141d447", "image_1": "Description/single/ce41a016-325c-488b-8e79-62dcb141d447_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise introduces prominent horizontal artifacts that disrupt the visual coherence of urban structures and landscape features, making them appear fragmented and inconsistent. The distortion obscures critical details such as road alignments, building outlines, and vegetation patterns, significantly reducing the interpretability of spatial relationships. The image quality is poor, with substantial degradation affecting its usability for analysis or decision-making."}
{"id": "ba5811a1-7eb0-4124-a18d-a8803cb9be52", "image_1": "Description/single/ba5811a1-7eb0-4124-a18d-a8803cb9be52_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise introduces prominent vertical bands that disrupt the uniformity of the image, making natural and urban features appear fragmented. The distortion obscures fine details, such as building outlines and road structures, and diminishes the clarity of water bodies and vegetation patterns. The image quality is poor, significantly impairing its usability for visual interpretation or analysis."}
{"id": "a1502b13-5759-4da8-8b7b-6c9967382518", "image_1": "Description/single/a1502b13-5759-4da8-8b7b-6c9967382518_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise introduces horizontal bands that disrupt the uniformity of the image, making features like buildings and vegetation appear fragmented and inconsistent. The distortion obscures fine details, such as the texture of tree canopies and the clarity of roads, significantly reducing the ability to interpret spatial patterns and structures. The image quality is poor, with critical visual information heavily degraded."}
{"id": "3d5796a8-2f10-40c2-bdf7-c58dcb43561a", "image_1": "Description/single/3d5796a8-2f10-40c2-bdf7-c58dcb43561a_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise introduces prominent linear artifacts across the image, disrupting the uniformity of farmland and creating distracting visual patterns. The noise obscures fine details, such as field boundaries and small infrastructure, significantly reducing the interpretability of the landscape. The image quality is poor, with critical spatial information compromised by the distortion."}
{"id": "66b22bc4-349c-455f-ae4d-52e004311fea", "image_1": "Description/single/66b22bc4-349c-455f-ae4d-52e004311fea_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise creates repetitive vertical patterns that disrupt the natural texture and color uniformity of the landscape, making the image visually distracting. The distortion obscures fine details such as terrain features and surface variations, significantly reducing the interpretability of the image for analytical purposes. The image quality is poor due to the overwhelming presence of stripe noise."}
{"id": "7d6fb2be-2ecb-467b-9eb5-d55fe1d39524", "image_1": "Description/single/7d6fb2be-2ecb-467b-9eb5-d55fe1d39524_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise creates prominent horizontal artifacts that disrupt the natural appearance of the landscape and obscure fine details. The distortion significantly reduces interpretability by masking features such as building outlines, vegetation patterns, and waterway boundaries. The image quality is poor due to the pervasive and distracting noise."}
{"id": "5e5368c7-7b90-4ba2-9470-5932c09f8aa7", "image_1": "Description/single/5e5368c7-7b90-4ba2-9470-5932c09f8aa7_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise creates horizontal bands that disrupt the uniformity of the image, making urban structures and vegetation appear fragmented and uneven. The distortion obscures fine details, such as building outlines and road networks, reducing the clarity needed for accurate interpretation. The image quality is poor, significantly limiting its usability for analysis or observation."}
{"id": "cb8a2268-8dd7-46ee-a3ca-c812a1eff356", "image_1": "Description/single/cb8a2268-8dd7-46ee-a3ca-c812a1eff356_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise introduces prominent horizontal bands across the image, disrupting the uniformity of farmland and obscuring fine details in the urban area. The distortion significantly reduces interpretability, making it difficult to discern clear boundaries between fields and diminishing the visibility of structural patterns in the settlement. The image quality is poor, with substantial degradation affecting its usability for analysis."}
{"id": "c9b9c3ba-ad52-4548-827c-4e4beebb22c3", "image_1": "Description/single/c9b9c3ba-ad52-4548-827c-4e4beebb22c3_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise introduces horizontal bands across the image, disrupting the uniformity of colors and textures and creating a visually chaotic appearance. The distortion obscures fine details, making it difficult to discern building edges, road layouts, and vegetation patterns accurately. The image quality is poor, significantly impairing its usability for analysis or interpretation."}
{"id": "447f31ef-251f-4c22-9719-fcbf40dd491b", "image_1": "Description/single/447f31ef-251f-4c22-9719-fcbf40dd491b_0.png", "image_2": null, "question": "You are shown a single distorted remote sensing image. Write exactly three concise sentences that describe the scene and its quality:\n1. Identify the dominant type of distortion (e.g., haze, motion blur, compression artifacts, sensor noise) and describe its visible characteristics.\n2. Explain how this distortion impairs interpretability or analytical utility, citing concrete visual consequences.\n3. Provide an overall assessment of the image quality.\n\nYour response must contain exactly three sentences, with no numbering, and must not speculate about how the image 'should' look.", "answer": "Severe stripe noise creates repetitive vertical lines that obscure natural features and disrupt the visual continuity of the image. The distortion significantly reduces interpretability by masking landforms and water boundaries, making it difficult to discern details like vegetation patterns or object outlines. The image quality is poor, with critical spatial information heavily degraded."}