SR-REAL
Collection
SR-REAL • 6 items • Updated • 1
id unknown | conversations listlengths 2 2 | image listlengths 1 3 | type stringclasses 21
values | depth listlengths 1 3 ⌀ | red_point listlengths 1 1 ⌀ | red_bbox listlengths 1 1 ⌀ | green_point listlengths 1 1 ⌀ | green_bbox listlengths 1 1 ⌀ | blue_point listlengths 1 1 ⌀ | blue_bbox listlengths 1 1 ⌀ | yellow_point listlengths 1 1 ⌀ | yellow_bbox listlengths 1 1 ⌀ | mask_idx unknown | bbox unknown | 3d_pos unknown | image_hw listlengths 2 2 ⌀ | choices listlengths 2 4 ⌀ | task stringclasses 4
values | question stringlengths 31 174 ⌀ | prompt stringlengths 93 299 ⌀ | solution stringclasses 4
values | correct_ans stringclasses 739
values | filename stringlengths 20 20 ⌀ | objects listlengths 2 4 ⌀ | bbox_img_idx listlengths 1 1 ⌀ | point_img_idx listlengths 1 1 ⌀ | main_frame_idx int64 0 2 ⌀ | source stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
"scene0297_02_105" | [
{
"from": "human",
"value": "Calculate the distance in meters between cabinet (red point <mask>) and the observer. Calculate or judge based on the 3D center points of these objects. Choose the correct option from the available choices.\nA. 3.1\nB. 2.6\nC. 2.5\nD. 3.8\nYour answer can only include one of opt... | [
"scene0297_02/image_color/1101.jpg"
] | distance_prediction_oc | [
"scene0297_02/image_depth/1101.png"
] | [
[
380,
621
]
] | null | null | null | null | null | null | null | null | [
[
460,
576,
524,
625
]
] | {
"red_point": {
"bbox_2d": [
117,
405,
635,
908
],
"center_cam": [
-0.3413169406,
0.2460806282,
2.5881520229
],
"label": "cabinet"
}
} | [
968,
1296
] | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0698_01_3" | [
{
"from": "human",
"value": "Please calculate the exact distance in meters between the observer’s position and the center of curtain (red point <mask>). Calculate or judge based on the 3D center points of these objects. Submit your answer as one number only."
},
{
"from": "gpt",
"value": "5.3"
... | [
"scene0698_01/image_color/0.jpg"
] | distance_prediction_oc | [
"scene0698_01/image_depth/0.png"
] | [
[
533,
296
]
] | null | null | null | null | null | null | null | null | [
[
658,
262,
723,
310
]
] | {
"red_point": {
"bbox_2d": [
421,
127,
653,
460
],
"center_cam": [
0.19948754840000002,
-0.9024350285,
5.1904230923
],
"label": "curtain"
}
} | [
968,
1296
] | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0211_01_2589" | [
{
"from": "human",
"value": "How far away, measured in meters, is the observer from the center of books (red point <mask>)? Calculate or judge based on the 3D center points of these objects. We use the first image to reflect the main perspective, which aligns with the observer's viewpoint. Submit your respo... | [
"scene0211_01/image_color/1931.jpg",
"scene0211_01/image_color/2283.jpg",
"scene0211_01/image_color/1433.jpg"
] | distance_prediction_oc_mv | [
"scene0211_01/image_depth/1931.png",
"scene0211_01/image_depth/2283.png",
"scene0211_01/image_depth/1433.png"
] | [
[
165,
505
]
] | null | null | null | null | null | null | null | {
"0": [
1,
0
]
} | {
"0": [],
"1": [
[
181,
464,
246,
513
]
],
"2": []
} | {
"red_point": {
"current_frame": 1,
"current_frame_3d": {
"bbox_2d": [
0,
411,
365,
613
],
"center_cam": [
-0.7152549489000001,
0.0110402567,
1.8943825358000002
],
"label": "book"
},
"all_frame_3d": {
"0": {
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
1
]
] | 1 | null |
"scene0623_01_1103" | [
{
"from": "human",
"value": "If the depth of tv stand (red point) is 1.6, determine the absolute depth difference between tv (green point) and speaker (blue point) in meters. Calculate or judge based on the 3D center points of these objects. The depth is calculated based on the image where the markers corre... | [
"scene0623_01/image_color/1196.jpg",
"scene0623_01/image_color/978.jpg",
"scene0623_01/image_color/295.jpg"
] | depth_prediction_oo_mv | [
"scene0623_01/image_depth/1196.png",
"scene0623_01/image_depth/978.png",
"scene0623_01/image_depth/295.png"
] | [
[
409,
394
]
] | null | [
[
997,
746
]
] | null | [
[
408,
140
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
0,
2,
1
]
] | null | null |
null | [
{
"from": "human",
"value": "Estimate the real world distances between objects in the image. Which object is closer to modern black sofa, Statue or Doorframe?\nSelect the correct response from the given choices.\nA. Doorframe\nB. Statue\nYour answer can only include one of options A or B."
},
{
"fro... | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00064/00064437_0.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00064/00064437_0.png"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0679_00_18283" | [
{
"from": "human",
"value": "Calculate the shortest Euclidean distance in meters from the center of microwave (red point <mask>) to book (blue point <mask>). Calculate or judge based on the 3D center points of these objects. Select the right option from the choices provided.\nA. 0.2\nB. 1.7\nC. 0.5\nD. 1.0\... | [
"scene0679_00/image_color/2479.jpg",
"scene0679_00/image_color/1750.jpg",
"scene0679_00/image_color/2333.jpg"
] | distance_prediction_oo_mv | [
"scene0679_00/image_depth/2479.png",
"scene0679_00/image_depth/1750.png",
"scene0679_00/image_depth/2333.png"
] | [
[
438,
144
]
] | null | null | null | [
[
781,
122
]
] | null | null | null | {
"0": [
0,
0
],
"1": [
2,
0
]
} | {
"0": [
[
535,
115,
600,
163
]
],
"1": [],
"2": [
[
979,
93,
1044,
142
]
]
} | {
"red_point": {
"current_frame": 0,
"current_frame_3d": {
"bbox_2d": [
354,
49,
534,
248
],
"center_cam": [
-0.1651198451,
-0.7101533286,
2.4107843239
],
"label": "microwave"
},
"all_frame_3d": {
"0": {
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
0,
2
]
] | 0 | null |
"scene0479_02_1333" | [
{
"from": "human",
"value": "What is the linear distance in meters from the red point <mask> representing book to the blue point <mask> representing box? Calculate or judge based on the 3D center points of these objects. Select the correct response from the given choices.\nA. 0.8\nB. 1.0\nC. 1.2\nD. 1.6\nYo... | [
"scene0479_02/image_color/435.jpg",
"scene0479_02/image_color/361.jpg",
"scene0479_02/image_color/374.jpg"
] | distance_prediction_oo_mv | [
"scene0479_02/image_depth/435.png",
"scene0479_02/image_depth/361.png",
"scene0479_02/image_depth/374.png"
] | [
[
282,
529
]
] | null | null | null | [
[
731,
867
]
] | null | null | null | {
"0": [
0,
0
],
"1": [
1,
0
]
} | {
"0": [
[
333,
487,
397,
536
]
],
"1": [
[
914,
815,
979,
863
]
],
"2": []
} | {
"red_point": {
"current_frame": 0,
"current_frame_3d": {
"bbox_2d": [
156,
463,
400,
613
],
"center_cam": [
-0.4234869935,
0.0339898281,
1.7599130456
],
"label": "book"
},
"all_frame_3d": {
"0": {
"ce... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
0,
1
]
] | 0 | null |
"scene0519_00_685" | [
{
"from": "human",
"value": "How would you describe the distance, in meters, between the red and blue point <mask>s marking bathroom vanity and soap dispenser? Calculate or judge based on the 3D center points of these objects. Please respond with a single number only."
},
{
"from": "gpt",
"value... | [
"scene0519_00/image_color/1248.jpg",
"scene0519_00/image_color/50.jpg",
"scene0519_00/image_color/80.jpg"
] | distance_prediction_oo_mv | [
"scene0519_00/image_depth/1248.png",
"scene0519_00/image_depth/50.png",
"scene0519_00/image_depth/80.png"
] | [
[
257,
663
]
] | null | null | null | [
[
371,
331
]
] | null | null | null | {
"0": [
2,
0
]
} | {
"0": [],
"1": [],
"2": [
[
448,
296,
513,
344
]
]
} | {
"red_point": {
"current_frame": 1,
"current_frame_3d": {
"bbox_2d": [
0,
325,
515,
958
],
"center_cam": [
-0.2750207165,
0.0646250872,
0.9677382828000001
],
"label": "sink"
},
"all_frame_3d": {
"0": {
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
1,
2
]
] | 1 | null |
"scene0507_00_894" | [
{
"from": "human",
"value": "As seen by the observer, where is pillow (bbox) located in the three images? Calculate or judge based on the 3D center points of these objects. We establish the main perspective by aligning the first image with the observer's view.\nThe options describe the spatial relationship ... | [
"scene0507_00/image_color/733.jpg",
"scene0507_00/image_color/1145.jpg",
"scene0507_00/image_color/774.jpg"
] | obj_spatial_relation_oc_mv | [
"scene0507_00/image_depth/733.png",
"scene0507_00/image_depth/1145.png",
"scene0507_00/image_depth/774.png"
] | null | [
[
240,
0,
502,
96
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
1
]
] | null | null | null |
"scene0418_02_2524" | [
{
"from": "human",
"value": "How far is the center of dumbbell (red point <mask>) from the observer in the photograph? Ensure the answer is in meters. Calculate or judge based on the 3D center points of these objects. The main perspective, corresponding to the observer's view, is established by selecting th... | [
"scene0418_02/image_color/1559.jpg",
"scene0418_02/image_color/571.jpg",
"scene0418_02/image_color/1767.jpg"
] | distance_prediction_oc_mv | [
"scene0418_02/image_depth/1559.png",
"scene0418_02/image_depth/571.png",
"scene0418_02/image_depth/1767.png"
] | [
[
864,
576
]
] | null | null | null | null | null | null | null | {
"0": [
0,
0
]
} | {
"0": [
[
1087,
533,
1152,
581
]
],
"1": [],
"2": []
} | {
"red_point": {
"current_frame": 0,
"current_frame_3d": {
"bbox_2d": [
806,
485,
931,
674
],
"center_cam": [
0.8746512296000001,
0.1363793275,
2.1695189533
],
"label": "dumbbell"
},
"all_frame_3d": {
"0": {
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
0
]
] | 0 | null |
null | [
{
"from": "human",
"value": "Were any of the objects in the initial frame that you can still see in the second frame moved from their original positions?\nSelect the correct response from the given choices.\nA. brown rectangular tv stand was moved left and away from the camera in the first frame\nB. brown r... | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00160/00160180_0.jpg",
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00160/00160180_1.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00160/00160180_0.png",
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00160/00160180_1.png"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0005_01_880" | [
{
"from": "human",
"value": "How far away, in meters, is the center of chair (red point) from the center of chair (blue point) in the images? Calculate or judge based on the 3D center points of these objects. Choose the correct option from the available choices.\nA. 0.9\nB. 0.6\nC. 1.0\nD. 0.3\nYour answer ... | [
"scene0005_01/image_color/396.jpg",
"scene0005_01/image_color/240.jpg",
"scene0005_01/image_color/1098.jpg"
] | distance_prediction_oo_mv | [
"scene0005_01/image_depth/396.png",
"scene0005_01/image_depth/240.png",
"scene0005_01/image_depth/1098.png"
] | [
[
745,
980
]
] | null | null | null | [
[
256,
700
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
0,
2
]
] | null | null |
"scene0272_01_649" | [
{
"from": "human",
"value": "With chair (red point) at a depth of 1.7, calculate the depth difference (absolute value) between cabinet (green point) and cabinet (blue point) in meters. Calculate or judge based on the 3D center points of these objects. The depth is calculated based on the image where the mar... | [
"scene0272_01/image_color/558.jpg",
"scene0272_01/image_color/1205.jpg",
"scene0272_01/image_color/183.jpg"
] | depth_prediction_oo_mv | [
"scene0272_01/image_depth/558.png",
"scene0272_01/image_depth/1205.png",
"scene0272_01/image_depth/183.png"
] | [
[
703,
617
]
] | null | [
[
221,
240
]
] | null | [
[
335,
271
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
0,
2,
1
]
] | null | null |
"scene0457_01_2318" | [
{
"from": "human",
"value": "What is the center-to-center distance in meters between picture (red point <mask>) and picture (blue point <mask>) in the images? Calculate or judge based on the 3D center points of these objects. Enter a single numeric response and no other details."
},
{
"from": "gpt",... | [
"scene0457_01/image_color/1037.jpg",
"scene0457_01/image_color/2175.jpg",
"scene0457_01/image_color/0.jpg"
] | distance_prediction_oo_mv | [
"scene0457_01/image_depth/1037.png",
"scene0457_01/image_depth/2175.png",
"scene0457_01/image_depth/0.png"
] | [
[
348,
131
]
] | null | null | null | [
[
689,
268
]
] | null | null | null | {
"0": [
1,
0
],
"1": [
2,
0
]
} | {
"0": [],
"1": [
[
418,
102,
483,
151
]
],
"2": [
[
860,
235,
925,
283
]
]
} | {
"red_point": {
"current_frame": 1,
"current_frame_3d": {
"bbox_2d": [
299,
11,
400,
242
],
"center_cam": [
-0.3469729929,
-0.6477934284,
2.081000449
],
"label": "picture"
},
"all_frame_3d": {
"0": {
"... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
1,
2
]
] | 1 | null |
"scene0523_02_885" | [
{
"from": "human",
"value": "What specific camera movements explain the differences between the first and second images?\nProvide the camera movement and rotation in the following format:\nmove_<right_or_left>:<meters>,move_<down_or_up>:<meters>,move_<forward_or_back>:<meters>,rotate_<down_or_up>:<degrees>,... | [
"scene0523_02/image_color/1976.jpg",
"scene0523_02/image_color/143.jpg"
] | view_change_infer | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | [
{
"from": "human",
"value": "Were any of the objects in the initial frame that you can still see in the second frame moved from their original positions?\nSelect the correct response from the given choices.\nA. DeskLamp was moved right and towards the camera in the first frame\nB. DeskLamp was moved left an... | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00130/00130154_0.jpg",
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00130/00130154_1.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00130/00130154_0.png",
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00130/00130154_1.png"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0305_01_201" | [
{
"from": "human",
"value": "Assume keyboard (red point <mask>) has a depth of 1.2. How far apart in depth are mouse (green point <mask>) and monitor (blue point <mask>), measured in meters? Calculate or judge based on the 3D center points of these objects. Input a single number to complete your answer."
... | [
"scene0305_01/image_color/982.jpg"
] | depth_prediction_oo | [
"scene0305_01/image_depth/982.png"
] | [
[
272,
704
]
] | null | [
[
519,
928
]
] | null | [
[
758,
387
]
] | null | null | null | null | [
[
320,
657,
384,
705
],
[
640,
874,
705,
922
],
[
949,
350,
1014,
398
]
] | {
"red_point": {
"bbox_2d": [
52,
584,
495,
849
],
"center_cam": [
-0.2866315642,
0.1862542443,
1.170610537
],
"label": "keyboard"
},
"green_point": {
"bbox_2d": [
462,
854,
572,
1000
],
"center_cam": [
0.01994... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | null | null | null |
null | [
{
"from": "human",
"value": "Considering the relative positions, where is blue square wall painting with respect to white color dining table?\nSelect the correct response from the given choices.\nA. left\nB. right\nYour answer can only include one of options A or B."
},
{
"from": "gpt",
"value":... | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00031/00031299_0.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00031/00031299_0.png"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | [
{
"from": "human",
"value": "In the context of the provided image, how do the sizes of necklace (annotated by the red box) and ear (annotated by the blue box) relate to each other? Select from the following choices. (A) smaller (B) larger "
},
{
"from": "gpt",
"value": "A"
}
] | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/image/42ca9821f3822cf1_01.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/depth/42ca9821f3822cf1_01.jpg"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0515_00_1153" | [
{
"from": "human",
"value": "If the observer first perceives backpack (red bbox) in a specific direction, how does the relationship change when the observer moves to shower walls’s center (green bbox) and faces table’s center (blue bbox)? Calculate or judge based on the 3D center points of these objects. Pl... | [
"scene0515_00/image_color/1251.jpg"
] | spatial_imagination_oc | [
"scene0515_00/image_depth/1251.png"
] | [
[
636,
739
]
] | [
[
558,
634,
723,
910
]
] | [
[
509,
347
]
] | [
[
272,
10,
752,
908
]
] | [
[
722,
582
]
] | [
[
606,
412,
835,
783
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | [
{
"from": "human",
"value": "Considering the relative positions, where is round white pedestal dining table (marked B) with respect to grey fabric sofa (marked C)?\nSelect the correct response from the given choices.\nA. left\nB. right\nYour answer can only include one of options A or B."
},
{
"from... | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00120/00120276_0.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00120/00120276_0.png"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0615_00_2454" | [
{
"from": "human",
"value": "What is the measured distance in meters from the observer to the center of shoes (red point <mask>)? Calculate or judge based on the 3D center points of these objects. To illustrate the observer's perspective, we designate the first image as the main focus. Your response should ... | [
"scene0615_00/image_color/990.jpg",
"scene0615_00/image_color/1015.jpg",
"scene0615_00/image_color/60.jpg"
] | distance_prediction_oc_mv | [
"scene0615_00/image_depth/990.png",
"scene0615_00/image_depth/1015.png",
"scene0615_00/image_depth/60.png"
] | [
[
631,
888
]
] | null | null | null | null | null | null | null | {
"0": [
0,
0
]
} | {
"0": [
[
785,
835,
850,
883
]
],
"1": [],
"2": []
} | {
"red_point": {
"current_frame": 0,
"current_frame_3d": {
"bbox_2d": [
496,
743,
793,
1000
],
"center_cam": [
0.2417276398,
0.532834919,
1.6610547988
],
"label": "shoe"
},
"all_frame_3d": {
"0": {
"cen... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
0
]
] | 0 | null |
null | [
{
"from": "human",
"value": "What is the position of rock formation relative to stone in the image? Select from the following choices. (A) left,above,behind (B) right,below,behind (C) left,below,in front (D) right,above,in front \nRelevant objects: rock formation <mask>, stone <mask>."
},
{
"from": ... | [
"/lustre/fsw/portfolios/nvr/users/sifeil/datasets/Openimages/train/26374df98bcd3777.jpg"
] | null | [
"/home/sifeil/datasets/Aero_v0/v0/spatialrgpt_ft/depth/26374df98bcd3777.png"
] | null | null | null | null | null | null | null | null | null | [
[
528,
367,
1021,
679
],
[
818,
369,
1021,
548
]
] | {
"rock formation": {
"bbox_2d": [
528,
367,
1021,
679
],
"center_cam": [
3.3645,
3.3069800000000003,
21.5461
]
},
"stone": {
"bbox_2d": [
818,
369,
1021,
548
],
"center_cam": [
6.40533,
1.8580800000000002,
... | [
682,
1024
] | [
"left,above,behind",
"right,below,behind",
"left,below,in front",
"right,above,in front"
] | spatial relation | What is the position of rock formation relative to stone in the image? | What is the position of rock formation relative to stone in the image? Select from the following choices. (A) left,above,behind (B) right,below,behind (C) left,below,in front (D) right,above,in front | C | left,below,in front | 26374df98bcd3777.jpg | [
{
"label": "rock formation",
"bbox": [
528.3409423828,
367.931640625,
1021.3668212891,
679.5101318359
],
"camera_oriented_bbox": "OrientedBoundingBox: center: (-3.3645, -3.30698, 21.5461), extent: 30.9611, 7.84806, 3.72296)"
},
{
"label": "stone",
"bbox": [
... | null | null | null | null |
"scene0542_00_3562" | [
{
"from": "human",
"value": "As seen in the two images, where is the sink (red bbox) located relative to the bowl (blue bbox) from the observer's point of view? Calculate or judge based on the 3D center points of these objects. To convey the observer's perspective, the first image is designated as the main ... | [
"scene0542_00/image_color/1538.jpg",
"scene0542_00/image_color/182.jpg",
"scene0542_00/image_color/122.jpg"
] | obj_spatial_relation_oo_mv | [
"scene0542_00/image_depth/1538.png",
"scene0542_00/image_depth/182.png",
"scene0542_00/image_depth/122.png"
] | null | [
[
355,
727,
598,
819
]
] | null | null | null | [
[
566,
28,
632,
87
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
2,
1
]
] | null | null | null |
"scene0089_00_4" | [
{
"from": "human",
"value": "Of the two objects, chair (green point) and chair (blue point), which is farther to trash can (red point)? Calculate or judge based on the 3D center points of these objects. Choose the right response from the choices provided.\nA. chair (green point)\nB. chair (blue point)\nYour... | [
"scene0089_00/image_color/0.jpg",
"scene0089_00/image_color/860.jpg",
"scene0089_00/image_color/943.jpg"
] | distance_infer_center_oo_mv | [
"scene0089_00/image_depth/0.png",
"scene0089_00/image_depth/860.png",
"scene0089_00/image_depth/943.png"
] | [
[
273,
469
]
] | null | [
[
66,
892
]
] | null | [
[
613,
697
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
0,
1,
0
]
] | null | null |
"scene0042_00_275" | [
{
"from": "human",
"value": "From the first image, how should the observer move to replicate the view in the second image?\nProvide the camera movement and rotation in the following format:\nmove_<right_or_left>:<meters>,move_<down_or_up>:<meters>,move_<forward_or_back>:<meters>,rotate_<down_or_up>:<degrees... | [
"scene0042_00/image_color/774.jpg",
"scene0042_00/image_color/718.jpg"
] | view_change_infer | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0525_00_66080" | [
{
"from": "human",
"value": "How far apart are the red and blue point <mask>s representing the centers of books and books? State the distance in meters. Calculate or judge based on the 3D center points of these objects. Type in exactly one number as your reply."
},
{
"from": "gpt",
"value": "1.4... | [
"scene0525_00/image_color/1399.jpg",
"scene0525_00/image_color/338.jpg",
"scene0525_00/image_color/808.jpg"
] | distance_prediction_oo_mv | [
"scene0525_00/image_depth/1399.png",
"scene0525_00/image_depth/338.png",
"scene0525_00/image_depth/808.png"
] | [
[
539,
466
]
] | null | null | null | [
[
941,
806
]
] | null | null | null | {
"0": [
1,
0
]
} | {
"0": [],
"1": [
[
1187,
756,
1251,
804
]
],
"2": []
} | {
"red_point": {
"current_frame": 0,
"current_frame_3d": {
"bbox_2d": [
345,
356,
759,
557
],
"center_cam": [
0.1089428087,
-0.0806867352,
2.4230814826
],
"label": "book"
},
"all_frame_3d": {
"0": {
"ce... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
0,
1
]
] | 0 | null |
null | [
{
"from": "human",
"value": "In the context of the provided image, how do the shapes of lock (annotated by the red box) and pole (annotated by the blue box) compare?\nSelect the correct response from the given choices.\nA. wider, shorter\nB. wider, taller\nC. thinner, shorter\nD. thinner, taller"
},
{
... | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/image/c958eb44392717ac_01.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/depth/c958eb44392717ac_01.jpg"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0475_02_4" | [
{
"from": "human",
"value": "Estimate the image-plane location and depth in meters of the second image’s observer as it appears in the first image’s coordinate space. Select the correct response from the given choices.\nA. Image Coor:(544, 44), Depth:0.3 meters\nB. Image Coor:(934, 926), Depth:0.3 meters\nC... | [
"scene0475_02/image_color/69.jpg",
"scene0475_02/image_color/872.jpg"
] | camera_motion_infer | [
"scene0475_02/image_depth/69.png",
"scene0475_02/image_depth/872.png"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0330_00_5257" | [
{
"from": "human",
"value": "The camera coordinate system positions pillow (red point <mask>) at a depth of 1.9 meters. Predict the depth of pillow (blue point <mask>) at its center. Calculate or judge based on the 3D center points of these objects. Choose the appropriate answer from the options given.\nA.... | [
"scene0330_00/image_color/1230.jpg",
"scene0330_00/image_color/1117.jpg",
"scene0330_00/image_color/1242.jpg"
] | depth_prediction_oc_mv | [
"scene0330_00/image_depth/1230.png",
"scene0330_00/image_depth/1117.png",
"scene0330_00/image_depth/1242.png"
] | [
[
910,
210
]
] | null | null | null | [
[
530,
414
]
] | null | null | null | {
"0": [
0,
0
],
"1": [
1,
0
]
} | {
"0": [
[
1146,
179,
1211,
227
]
],
"1": [
[
654,
376,
719,
424
]
],
"2": []
} | {
"red_point": {
"current_frame": 0,
"current_frame_3d": {
"bbox_2d": [
790,
54,
1000,
370
],
"center_cam": [
0.8649544732000001,
-0.4387750213,
1.8718282844
],
"label": "pillow"
},
"all_frame_3d": {
"0": {
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
0,
1
]
] | 0 | null |
null | [
{
"from": "human",
"value": "How does crew (annotated by the red box) relate to diver (annotated by the blue box) in the image? Select from the following choices. (A) right (B) below (C) above "
},
{
"from": "gpt",
"value": "B"
}
] | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/image/1fb15dcc1d1a978b_00.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/depth/1fb15dcc1d1a978b_00.jpg"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | [
{
"from": "human",
"value": "Were any of the objects in the initial frame that you can still see in the second frame moved from their original positions?\nSelect the correct response from the given choices.\nA. potted houseplant with lush green foliage was moved right and towards the camera in the first fra... | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00135/00135004_0.jpg",
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00135/00135004_1.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00135/00135004_0.png",
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00135/00135004_1.png"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0471_01_244" | [
{
"from": "human",
"value": "What relative movement of the observer explains the shift from the first image to the second?\nProvide the camera movement and rotation in the following format:\nmove_<right_or_left>:<meters>,move_<down_or_up>:<meters>,move_<forward_or_back>:<meters>,rotate_<down_or_up>:<degrees... | [
"scene0471_01/image_color/243.jpg",
"scene0471_01/image_color/263.jpg"
] | view_change_infer | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0525_01_131" | [
{
"from": "human",
"value": "What is the Euclidean distance from the person who captured the image to the center of chair (red point <mask>)? Provide the answer in meters. Calculate or judge based on the 3D center points of these objects. Provide your input as exactly one number."
},
{
"from": "gpt"... | [
"scene0525_01/image_color/280.jpg"
] | distance_prediction_oc | [
"scene0525_01/image_depth/280.png"
] | [
[
857,
658
]
] | null | null | null | null | null | null | null | null | [
[
1078,
612,
1143,
661
]
] | {
"red_point": {
"bbox_2d": [
722,
392,
1000,
1000
],
"center_cam": [
0.9625027840000001,
0.3055098747,
2.42370736
],
"label": "chair"
}
} | [
968,
1296
] | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0534_00_296" | [
{
"from": "human",
"value": "The backpack (red point <mask>) is positioned at 2.4 meters depth. Predict the depth of the shelf (blue point <mask>) and Calculate or judge based on the 3D center points of these objects. The unit is meter. Submit your answer as one number only."
},
{
"from": "gpt",
... | [
"scene0534_00/image_color/1413.jpg"
] | depth_prediction_oc | [
"scene0534_00/image_depth/1413.png"
] | [
[
657,
230
]
] | null | null | null | [
[
562,
430
]
] | null | null | null | null | [
[
819,
198,
883,
246
],
[
695,
392,
760,
440
]
] | {
"red_point": {
"bbox_2d": [
558,
91,
778,
376
],
"center_cam": [
0.41982256900000003,
-0.5385754180000001,
2.4106378108
],
"label": "backpack"
},
"blue_point": {
"bbox_2d": [
491,
219,
661,
668
],
"center_cam": [
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0467_00_165" | [
{
"from": "human",
"value": "What is the total distance in meters from the person who captured the image to the center of couch (red point)? Calculate or judge based on the 3D center points of these objects. Type in exactly one number as your reply."
},
{
"from": "gpt",
"value": "1.8"
}
] | [
"scene0467_00/image_color/1093.jpg"
] | distance_prediction_oc | [
"scene0467_00/image_depth/1093.png"
] | [
[
65,
278
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0017_01_13165" | [
{
"from": "human",
"value": "The trash can (red point) lies at a depth of 1.9 meters. How deep is the center of monitor (blue point)? Calculate or judge based on the 3D center points of these objects. Select the correct response from the given choices.\nA. 0.9\nB. 2.2\nC. 1.2\nD. 1.7\nYour answer can only ... | [
"scene0017_01/image_color/649.jpg",
"scene0017_01/image_color/691.jpg",
"scene0017_01/image_color/797.jpg"
] | depth_prediction_oc_mv | [
"scene0017_01/image_depth/649.png",
"scene0017_01/image_depth/691.png",
"scene0017_01/image_depth/797.png"
] | [
[
89,
789
]
] | null | null | null | [
[
629,
331
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
1,
2
]
] | null | null |
"scene0204_01_91" | [
{
"from": "human",
"value": "How far in meters is the center of office chair (red point) from the observer who took the photo? Calculate or judge based on the 3D center points of these objects. Select the appropriate response from the given choices.\nA. 0.9\nB. 1.6\nC. 2.2\nD. 1.3\nYour answer can only incl... | [
"scene0204_01/image_color/749.jpg"
] | distance_prediction_oc | [
"scene0204_01/image_depth/749.png"
] | [
[
241,
585
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0266_01_1181" | [
{
"from": "human",
"value": "From the given positions, which is farther to desk (red point): chair (green point) or chair (blue point)? Calculate or judge based on the 3D center points of these objects. Choose the appropriate option from the choices provided.\nA. chair (green point)\nB. chair (blue point)\n... | [
"scene0266_01/image_color/1682.jpg",
"scene0266_01/image_color/1485.jpg",
"scene0266_01/image_color/1457.jpg"
] | distance_infer_center_oo_mv | [
"scene0266_01/image_depth/1682.png",
"scene0266_01/image_depth/1485.png",
"scene0266_01/image_depth/1457.png"
] | [
[
155,
317
]
] | null | [
[
803,
574
]
] | null | [
[
266,
673
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
1,
0,
0
]
] | null | null |
null | [
{
"from": "human",
"value": "The first image is from the beginning of the video and the second image is from the end. How did the camera rotate from the first image to the second image?\nSelect the correct response from the given choices.\nA. rotated left and rotated left\nB. rotated right and moved forward... | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00135/00135697_0.jpg",
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00135/00135697_1.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00135/00135697_0.png",
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00135/00135697_1.png"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | [
{
"from": "human",
"value": "The first image is from the beginning of the video and the second image is from the end. Did the camera move left or right when shooting the video?\nSelect the correct response from the given choices.\nA. moved left\nB. moved right\nYour answer can only include one of options A ... | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00166/00166443_0.jpg",
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00166/00166443_1.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00166/00166443_0.png",
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00166/00166443_1.png"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0048_00_457" | [
{
"from": "human",
"value": "How far apart in meters are the observer and the center of backpack (red point <mask>) in the photo? Calculate or judge based on the 3D center points of these objects. The main perspective, corresponding to the observer's view, is established by selecting the first image. Choose... | [
"scene0048_00/image_color/395.jpg",
"scene0048_00/image_color/342.jpg",
"scene0048_00/image_color/291.jpg"
] | distance_prediction_oc_mv | [
"scene0048_00/image_depth/395.png",
"scene0048_00/image_depth/342.png",
"scene0048_00/image_depth/291.png"
] | [
[
370,
688
]
] | null | null | null | null | null | null | null | {
"0": [
2,
0
]
} | {
"0": [],
"1": [],
"2": [
[
447,
641,
511,
690
]
]
} | {
"red_point": {
"current_frame": 2,
"current_frame_3d": {
"bbox_2d": [
229,
524,
483,
902
],
"center_cam": [
-0.2944758048,
0.3107545305,
1.9128516571
],
"label": "backpack"
},
"all_frame_3d": {
"0": {
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
2
]
] | 2 | null |
"scene0646_00_22037" | [
{
"from": "human",
"value": "If the keyboard (red point <mask>) lies at a depth of 1.5 meters, how deep is the center of the desk (blue point <mask>)? Calculate or judge based on the 3D center points of these objects. Choose the correct answer from the choices available.\nA. 1.2\nB. 4.3\nC. 2.2\nD. 2.6\nYo... | [
"scene0646_00/image_color/3595.jpg",
"scene0646_00/image_color/198.jpg",
"scene0646_00/image_color/304.jpg"
] | depth_prediction_oc_mv | [
"scene0646_00/image_depth/3595.png",
"scene0646_00/image_depth/198.png",
"scene0646_00/image_depth/304.png"
] | [
[
612,
488
]
] | null | null | null | [
[
117,
165
]
] | null | null | null | {
"0": [
0,
0
],
"1": [
1,
0
]
} | {
"0": [
[
760,
448,
825,
496
]
],
"1": [
[
119,
135,
184,
183
]
],
"2": []
} | {
"red_point": {
"current_frame": 0,
"current_frame_3d": {
"bbox_2d": [
468,
398,
755,
596
],
"center_cam": [
0.1836454023,
-0.0142721034,
1.4832645434
],
"label": "keyboard"
},
"all_frame_3d": {
"0": {
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
0,
1
]
] | 0 | null |
"scene0623_01_148" | [
{
"from": "human",
"value": "The monitor (red point <mask>) at a depth of 1.9 meters serves as a reference. How deep is the computer tower (blue point <mask>)? Calculate or judge based on the 3D center points of these objects. The unit is meter. Provide your input as exactly one number."
},
{
"from... | [
"scene0623_01/image_color/577.jpg"
] | depth_prediction_oc | [
"scene0623_01/image_depth/577.png"
] | [
[
742,
73
]
] | null | null | null | [
[
943,
507
]
] | null | null | null | null | [
[
929,
46,
994,
94
],
[
1189,
466,
1254,
514
]
] | {
"red_point": {
"bbox_2d": [
620,
0,
878,
190
],
"center_cam": [
0.5054299315,
-0.6717816607,
1.8970431628000002
],
"label": "monitor"
},
"blue_point": {
"bbox_2d": [
839,
370,
1000,
654
],
"center_cam": [
0.9... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0403_01_732" | [
{
"from": "human",
"value": "Assume bookshelf (red point) has a depth of 3.6. What is the difference in depth between books (green point) and books (blue point) in meters? Calculate or judge based on the 3D center points of these objects. The depth is calculated based on the image where the markers correspo... | [
"scene0403_01/image_color/300.jpg",
"scene0403_01/image_color/328.jpg",
"scene0403_01/image_color/483.jpg"
] | depth_prediction_oo_mv | [
"scene0403_01/image_depth/300.png",
"scene0403_01/image_depth/328.png",
"scene0403_01/image_depth/483.png"
] | [
[
82,
343
]
] | null | [
[
766,
147
]
] | null | [
[
358,
93
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
0,
2,
1
]
] | null | null |
"scene0588_00_97" | [
{
"from": "human",
"value": "Identify the object that is farther to the red point sofa chair (red point): doors (green point) (green) or couch (blue point)? Calculate or judge based on the 3D center points of these objects. Pick the appropriate answer from the options given.\nA. couch (blue point)\nB. doors... | [
"scene0588_00/image_color/769.jpg"
] | distance_infer_center_oo | [
"scene0588_00/image_depth/769.png"
] | [
[
402,
440
]
] | null | [
[
150,
71
]
] | null | [
[
488,
219
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0442_00_51" | [
{
"from": "human",
"value": "How far in meters is armchair (red point) from table (blue point) based on their centers in the image? Calculate or judge based on the 3D center points of these objects. Your input must be limited to a single number."
},
{
"from": "gpt",
"value": "2.1"
}
] | [
"scene0442_00/image_color/1340.jpg"
] | distance_prediction_oo | [
"scene0442_00/image_depth/1340.png"
] | [
[
78,
63
]
] | null | null | null | [
[
475,
502
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0003_01_655" | [
{
"from": "human",
"value": "How is object kitchen cabinets (bbox <mask>) aligned from the perspective of the observer? Calculate or judge based on the 3D center points of these objects. We establish the main perspective by aligning the first image with the observer's view.\nThe options describe the spatial... | [
"scene0003_01/image_color/1393.jpg",
"scene0003_01/image_color/878.jpg",
"scene0003_01/image_color/387.jpg"
] | obj_spatial_relation_oc_mv | [
"scene0003_01/image_depth/1393.png",
"scene0003_01/image_depth/878.png",
"scene0003_01/image_depth/387.png"
] | null | [
[
559,
116,
1000,
998
]
] | null | null | null | null | null | null | {
"0": [
2,
0
]
} | {
"0": [],
"1": [],
"2": [
[
724,
112,
1296,
966
]
]
} | {
"red_bbox": {
"current_frame": 2,
"current_frame_3d": {
"bbox_2d": [
560,
0,
1000,
1000
],
"center_cam": [
1.0347739796,
-0.9161583324,
1.0285838659
],
"label": "wall"
},
"all_frame_3d": {
"0": {
"cen... | [
968,
1296
] | null | null | null | null | null | null | null | null | [
[
2
]
] | null | 2 | null |
"scene0263_00_8972" | [
{
"from": "human",
"value": "Knowing that chair (red point) is located at 1.7 meters, what is the depth of whiteboard eraser (blue point)? Calculate or judge based on the 3D center points of these objects. Select the right option from the choices provided.\nA. 2.3\nB. 2.7\nC. 3.4\nD. 4.1\nYour answer can o... | [
"scene0263_00/image_color/575.jpg",
"scene0263_00/image_color/610.jpg",
"scene0263_00/image_color/80.jpg"
] | depth_prediction_oc_mv | [
"scene0263_00/image_depth/575.png",
"scene0263_00/image_depth/610.png",
"scene0263_00/image_depth/80.png"
] | [
[
453,
300
]
] | null | null | null | [
[
349,
174
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
1,
2
]
] | null | null |
"scene0315_00_5225" | [
{
"from": "human",
"value": "Given that the depth of bowl (red point) is 3.3, find the depth difference (absolute value) between couch (green point) and bowl (blue point) in meters. Calculate or judge based on the 3D center points of these objects. The depth is calculated based on the image where the marker... | [
"scene0315_00/image_color/1049.jpg",
"scene0315_00/image_color/902.jpg",
"scene0315_00/image_color/288.jpg"
] | depth_prediction_oo_mv | [
"scene0315_00/image_depth/1049.png",
"scene0315_00/image_depth/902.png",
"scene0315_00/image_depth/288.png"
] | [
[
433,
160
]
] | null | [
[
28,
131
]
] | null | [
[
15,
612
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
0,
2,
1
]
] | null | null |
"scene0476_02_7633" | [
{
"from": "human",
"value": "With the bag (red point <mask>) at 1.6 meters, determine the depth of file cabinet (blue point <mask>). Calculate or judge based on the 3D center points of these objects. Enter a single numeric response and no other details."
},
{
"from": "gpt",
"value": "3.4"
}
] | [
"scene0476_02/image_color/337.jpg",
"scene0476_02/image_color/300.jpg",
"scene0476_02/image_color/474.jpg"
] | depth_prediction_oc_mv | [
"scene0476_02/image_depth/337.png",
"scene0476_02/image_depth/300.png",
"scene0476_02/image_depth/474.png"
] | [
[
89,
841
]
] | null | null | null | [
[
332,
138
]
] | null | null | null | {
"0": [
0,
0
],
"1": [
2,
0
]
} | {
"0": [
[
82,
789,
147,
838
]
],
"1": [],
"2": [
[
397,
109,
462,
157
]
]
} | {
"red_point": {
"current_frame": 0,
"current_frame_3d": {
"bbox_2d": [
0,
754,
196,
953
],
"center_cam": [
-0.7413157215,
0.4543145363,
1.6336502998
],
"label": "bag"
},
"all_frame_3d": {
"0": {
"cente... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
0,
2
]
] | 0 | null |
"scene0444_00_37" | [
{
"from": "human",
"value": "The sign (red point <mask>) lies at 1.1 meters depth. Can you estimate the depth of books (blue point <mask>)? Calculate or judge based on the 3D center points of these objects. The unit is meter. Select the right response from the available choices.\nA. 0.6\nB. 1.7\nC. 1.8\nD.... | [
"scene0444_00/image_color/335.jpg"
] | depth_prediction_oc | [
"scene0444_00/image_depth/335.png"
] | [
[
251,
337
]
] | null | null | null | [
[
140,
655
]
] | null | null | null | null | [
[
292,
302,
357,
350
],
[
149,
609,
213,
658
]
] | {
"red_point": {
"bbox_2d": [
159,
0,
287,
690
],
"center_cam": [
-0.3653009947,
-0.1485290914,
1.1825053977
],
"label": "sign"
},
"blue_point": {
"bbox_2d": [
58,
582,
235,
749
],
"center_cam": [
-0.6701789309... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0528_01_1358" | [
{
"from": "human",
"value": "Express the Euclidean distance between the center of office chair (red point) and table (blue point) in meters. Calculate or judge based on the 3D center points of these objects. Enter one numeric value as your answer."
},
{
"from": "gpt",
"value": "0.9"
}
] | [
"scene0528_01/image_color/549.jpg",
"scene0528_01/image_color/510.jpg",
"scene0528_01/image_color/530.jpg"
] | distance_prediction_oo_mv | [
"scene0528_01/image_depth/549.png",
"scene0528_01/image_depth/510.png",
"scene0528_01/image_depth/530.png"
] | [
[
325,
722
]
] | null | null | null | [
[
70,
478
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
0,
2
]
] | null | null |
null | [
{
"from": "human",
"value": "Where does flag appear to be in relation to flag pole in the image provided? Select from the following choices. (A) left,above,in front (B) left,below,behind (C) right,below,in front (D) left,below,in front \nRelevant objects: flag <mask>, flag pole <mask>."
},
{
"from":... | [
"/lustre/fsw/portfolios/nvr/users/sifeil/datasets/Openimages/train/69d595228a1f905f.jpg"
] | null | [
"/home/sifeil/datasets/Aero_v0/v0/spatialrgpt_ft/depth/69d595228a1f905f.png"
] | null | null | null | null | null | null | null | null | null | [
[
332,
0,
504,
283
],
[
611,
52,
808,
1020
]
] | {
"flag": {
"bbox_2d": [
332,
0,
504,
283
],
"center_cam": [
-0.0655528,
-0.652191,
2.82515
]
},
"flag pole": {
"bbox_2d": [
611,
52,
808,
1020
],
"center_cam": [
1.27541,
-0.10632599999999999,
4.49511
... | [
1024,
826
] | [
"left,above,in front",
"left,below,behind",
"right,below,in front",
"left,below,in front"
] | spatial relation | Where does flag appear to be in relation to flag pole in the image provided? | Where does flag appear to be in relation to flag pole in the image provided? Select from the following choices. (A) left,above,in front (B) left,below,behind (C) right,below,in front (D) left,below,in front | D | left,below,in front | 69d595228a1f905f.jpg | [
{
"label": "flag",
"bbox": [
332.5457458496,
0.7655181885,
504.504119873,
283.4393920898
],
"camera_oriented_bbox": "OrientedBoundingBox: center: (0.0655528, 0.652191, 2.82515), extent: 0.591796, 0.387379, 0.335926)"
},
{
"label": "flag pole",
"bbox": [
611.... | null | null | null | null |
null | [
{
"from": "human",
"value": "In the provided image, how does the size of beret (annotated by the red box) compare to the size of hat (annotated by the blue box)? Select from the following choices. (A) larger (B) smaller "
},
{
"from": "gpt",
"value": "A"
}
] | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/image/08181fb3d99ea8e6_00.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/depth/08181fb3d99ea8e6_00.jpg"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0682_00_1538" | [
{
"from": "human",
"value": "How far apart, measured in meters, are the centers of refrigerator (red point) and dishwasher (blue point)? Calculate or judge based on the 3D center points of these objects. Choose the correct response from the given choices.\nA. 0.4\nB. 1.1\nC. 0.9\nD. 0.2\nYour answer can onl... | [
"scene0682_00/image_color/290.jpg",
"scene0682_00/image_color/165.jpg",
"scene0682_00/image_color/1147.jpg"
] | distance_prediction_oo_mv | [
"scene0682_00/image_depth/290.png",
"scene0682_00/image_depth/165.png",
"scene0682_00/image_depth/1147.png"
] | [
[
893,
326
]
] | null | null | null | [
[
620,
549
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
1,
2
]
] | null | null |
"scene0541_02_199" | [
{
"from": "human",
"value": "What is the position of shorts (red bbox) from the observer’s perspective initially? How does this change once the observer moves to the 3D center of clothing (green bbox) and faces wardrobe closet (blue bbox)? Calculate or judge based on the 3D center points of these objects. A... | [
"scene0541_02/image_color/1224.jpg",
"scene0541_02/image_color/85.jpg",
"scene0541_02/image_color/56.jpg"
] | spatial_imagination_oc_mv | [
"scene0541_02/image_depth/1224.png",
"scene0541_02/image_depth/85.png",
"scene0541_02/image_depth/56.png"
] | [
[
410,
754
]
] | [
[
288,
541,
546,
978
]
] | [
[
472,
87
]
] | [
[
455,
6,
525,
301
]
] | [
[
512,
21
]
] | [
[
74,
3,
998,
783
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
2,
0,
2
]
] | [
[
2,
0,
2
]
] | null | null |
null | [
{
"from": "human",
"value": "I need to go to starry night sky painting (near the mark 0 in the image). Which direction should I turn to face the object?\nSelect the correct response from the given choices.\nA. look straight\nB. right by 12 degrees\nYour answer can only include one of options A or B."
},
... | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00142/00142788_0.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00142/00142788_0.png"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0313_01_412" | [
{
"from": "human",
"value": "What is the approximate distance in meters from the observer to the center of candle (red point <mask>)? Calculate or judge based on the 3D center points of these objects. The first image is positioned to serve as the main viewpoint for the observer. Enter a single numeric respo... | [
"scene0313_01/image_color/344.jpg",
"scene0313_01/image_color/868.jpg",
"scene0313_01/image_color/846.jpg"
] | distance_prediction_oc_mv | [
"scene0313_01/image_depth/344.png",
"scene0313_01/image_depth/868.png",
"scene0313_01/image_depth/846.png"
] | [
[
383,
462
]
] | null | null | null | null | null | null | null | {
"0": [
1,
0
]
} | {
"0": [],
"1": [
[
463,
423,
528,
471
]
],
"2": []
} | {
"red_point": {
"current_frame": 1,
"current_frame_3d": {
"bbox_2d": [
319,
393,
441,
533
],
"center_cam": [
-0.2139427803,
-0.0521397626,
1.6526412311
],
"label": "candle"
},
"all_frame_3d": {
"0": {
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
1
]
] | 1 | null |
"scene0089_00_70" | [
{
"from": "human",
"value": "What is the numeric distance, in meters, between the centers of the red and blue point <mask>s representing radiator and trash can? Calculate or judge based on the 3D center points of these objects. Pick the correct answer from the choices provided.\nA. 1.7\nB. 1.6\nC. 1.1\nD. 1... | [
"scene0089_00/image_color/0.jpg",
"scene0089_00/image_color/975.jpg",
"scene0089_00/image_color/914.jpg"
] | distance_prediction_oo_mv | [
"scene0089_00/image_depth/0.png",
"scene0089_00/image_depth/975.png",
"scene0089_00/image_depth/914.png"
] | [
[
704,
390
]
] | null | null | null | [
[
340,
432
]
] | null | null | null | {
"0": [
1,
0
]
} | {
"0": [],
"1": [
[
408,
393,
473,
442
]
],
"2": []
} | {
"red_point": {
"current_frame": 0,
"current_frame_3d": {
"bbox_2d": [
516,
235,
911,
564
],
"center_cam": [
0.47853792770000003,
-0.1930549362,
2.1558823914
],
"label": "radiator"
},
"all_frame_3d": {
"0": {
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
0,
1
]
] | 0 | null |
"scene0241_02_246" | [
{
"from": "human",
"value": "The bag (red point <mask>) is positioned at 1.6 meters depth. Predict the depth of the bag (blue point <mask>) and Calculate or judge based on the 3D center points of these objects. The unit is meter. Enter a single numeric response and no other details."
},
{
"from": "... | [
"scene0241_02/image_color/1559.jpg"
] | depth_prediction_oc | [
"scene0241_02/image_depth/1559.png"
] | [
[
259,
645
]
] | null | null | null | [
[
190,
379
]
] | null | null | null | null | [
[
303,
600,
368,
648
],
[
213,
342,
278,
391
]
] | {
"red_point": {
"bbox_2d": [
55,
435,
430,
890
],
"center_cam": [
-0.4323254975,
0.1883094991,
1.6298629956
],
"label": "bag"
},
"blue_point": {
"bbox_2d": [
91,
277,
275,
509
],
"center_cam": [
-0.7765190487,... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | null | null | null |
null | [
{
"from": "human",
"value": "How does peak (annotated by the red box) compare to sculpture (annotated by the blue box) in terms of their positions in the image?\nSelect the correct response from the given choices.\nA. left, above, in front\nB. right, above, in front\nC. left, below, in front\nD. left, above... | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/image/3756093539afebf6_02.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/depth/3756093539afebf6_02.jpg"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | [
{
"from": "human",
"value": "In the context of the provided image, how do the sizes of shoe (annotated by the red box) and shoe (annotated by the blue box) relate to each other? Select from the following choices. (A) smaller (B) larger "
},
{
"from": "gpt",
"value": "A"
}
] | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/image/7f81405e22d01ab5_00.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/depth/7f81405e22d01ab5_00.jpg"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0524_00_403" | [
{
"from": "human",
"value": "If the first image is the reference, what perspective shifts are needed to produce the second?\nProvide the camera movement and rotation in the following format:\nmove_<right_or_left>:<meters>,move_<down_or_up>:<meters>,move_<forward_or_back>:<meters>,rotate_<down_or_up>:<degree... | [
"scene0524_00/image_color/1673.jpg",
"scene0524_00/image_color/1654.jpg"
] | view_change_infer | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0332_01_164" | [
{
"from": "human",
"value": "From the observer's point of view, where does the window (red bbox) appear relative to the trash bin (blue bbox) in the two images? Calculate or judge based on the 3D center points of these objects. We use the first image to reflect the main perspective, which aligns with the ob... | [
"scene0332_01/image_color/472.jpg",
"scene0332_01/image_color/1121.jpg",
"scene0332_01/image_color/709.jpg"
] | obj_spatial_relation_oo_mv | [
"scene0332_01/image_depth/472.png",
"scene0332_01/image_depth/1121.png",
"scene0332_01/image_depth/709.png"
] | null | [
[
3,
2,
418,
410
]
] | null | null | null | [
[
209,
445,
682,
997
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
1,
2
]
] | null | null | null |
"scene0501_00_2546" | [
{
"from": "human",
"value": "The towel (red point) is located at a depth of 1.4 meters. What is the depth of the stand (blue point)? Calculate or judge based on the 3D center points of these objects. Provide your input as exactly one number."
},
{
"from": "gpt",
"value": "2.0"
}
] | [
"scene0501_00/image_color/1257.jpg",
"scene0501_00/image_color/722.jpg",
"scene0501_00/image_color/824.jpg"
] | depth_prediction_oc_mv | [
"scene0501_00/image_depth/1257.png",
"scene0501_00/image_depth/722.png",
"scene0501_00/image_depth/824.png"
] | [
[
733,
572
]
] | null | null | null | [
[
803,
691
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
0,
2
]
] | null | null |
null | [
{
"from": "human",
"value": "Where is water positioned in relation to dock in the image? Select from the following choices. (A) left,below,in front (B) right,above,in front (C) left,above,behind (D) left,above,in front \nRelevant objects: water <mask>, dock <mask>."
},
{
"from": "gpt",
"value": ... | [
"/lustre/fsw/portfolios/nvr/users/sifeil/datasets/Openimages/train/a3dc24d0ac1b6277.jpg"
] | null | [
"/home/sifeil/datasets/Aero_v0/v0/spatialrgpt_ft/depth/a3dc24d0ac1b6277.png"
] | null | null | null | null | null | null | null | null | null | [
[
5,
623,
656,
764
],
[
534,
596,
1021,
738
]
] | {
"water": {
"bbox_2d": [
5,
623,
656,
764
],
"center_cam": [
-19.4863,
15.8593,
77.3913
]
},
"dock": {
"bbox_2d": [
534,
596,
1021,
738
],
"center_cam": [
9.358460000000001,
19.3964,
95.0755
]
}
... | [
768,
1024
] | [
"left,below,in front",
"right,above,in front",
"left,above,behind",
"left,above,in front"
] | spatial relation | Where is water positioned in relation to dock in the image? | Where is water positioned in relation to dock in the image? Select from the following choices. (A) left,below,in front (B) right,above,in front (C) left,above,behind (D) left,above,in front | D | left,above,in front | a3dc24d0ac1b6277.jpg | [
{
"label": "water",
"bbox": [
5.5342712402,
623.4686889648,
656.2431640625,
764.5969848633
],
"camera_oriented_bbox": "OrientedBoundingBox: center: (19.4863, -15.8593, 77.3913), extent: 150.517, 50.0839, 3.04978)"
},
{
"label": "dock",
"bbox": [
534.92358398... | null | null | null | null |
"scene0395_00_794" | [
{
"from": "human",
"value": "Which point, green point <mask> (books) or blue point <mask> (books), is farther to books (red point <mask>)? Calculate or judge based on the 3D center points of these objects. Pick the correct answer from the choices provided.\nA. books (blue point)\nB. books (green point)\nYou... | [
"scene0395_00/image_color/740.jpg",
"scene0395_00/image_color/767.jpg",
"scene0395_00/image_color/1621.jpg"
] | distance_infer_center_oo_mv | [
"scene0395_00/image_depth/740.png",
"scene0395_00/image_depth/767.png",
"scene0395_00/image_depth/1621.png"
] | [
[
256,
236
]
] | null | [
[
627,
368
]
] | null | [
[
485,
370
]
] | null | null | null | {
"0": [
0,
0
],
"1": [
0,
1
],
"2": [
2,
0
]
} | {
"0": [
[
780,
332,
844,
380
],
[
596,
333,
660,
382
]
],
"1": [],
"2": [
[
299,
204,
364,
252
]
]
} | {
"red_point": {
"current_frame": 2,
"current_frame_3d": {
"bbox_2d": [
181,
183,
361,
303
],
"center_cam": [
-0.9961562850000001,
-0.8544698779000001,
4.005190719
],
"label": "book"
},
"all_frame_3d": {
"0": {... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
2,
0,
0
]
] | 2 | null |
"scene0472_00_79" | [
{
"from": "human",
"value": "Based on the image, how far is the center of bed (red point) from the observer? Provide your answer in meters. Calculate or judge based on the 3D center points of these objects. Please select the correct option from the choices provided.\nA. 0.7\nB. 1.2\nC. 1.5\nD. 1.6\nYour ans... | [
"scene0472_00/image_color/753.jpg"
] | distance_prediction_oc | [
"scene0472_00/image_depth/753.png"
] | [
[
705,
750
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | [
{
"from": "human",
"value": "In the context of the provided image, how do the shapes of lantern (annotated by the red box) and lantern (annotated by the blue box) compare?\nSelect the correct response from the given choices.\nA. wider, taller\nB. wider, shorter\nC. thinner, shorter\nD. thinner, taller"
},... | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/image/b1e49e3c306399f8_00.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/depth/b1e49e3c306399f8_00.jpg"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | [
{
"from": "human",
"value": "Considering the image, does alley (annotated by the red box) appear larger or smaller than license plate (annotated by the blue box)? Select from the following choices. (A) larger (B) smaller "
},
{
"from": "gpt",
"value": "A"
}
] | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/image/4fe14b023949394c_02.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/srgpt_mc_550k/depth/4fe14b023949394c_02.jpg"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0260_02_545" | [
{
"from": "human",
"value": "With towel (red point) at a depth of 0.9 meters, determine the approximate depth of sink (blue point). Calculate or judge based on the 3D center points of these objects. Respond with exactly one numeric value."
},
{
"from": "gpt",
"value": "0.8"
}
] | [
"scene0260_02/image_color/284.jpg",
"scene0260_02/image_color/468.jpg",
"scene0260_02/image_color/594.jpg"
] | depth_prediction_oc_mv | [
"scene0260_02/image_depth/284.png",
"scene0260_02/image_depth/468.png",
"scene0260_02/image_depth/594.png"
] | [
[
175,
281
]
] | null | null | null | [
[
871,
380
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
0,
2
]
] | null | null |
"scene0349_00_91" | [
{
"from": "human",
"value": "State the position of the shelf (red bbox <mask>) with respect to the sink (blue bbox <mask>) in the image from the observer's perspective. Calculate or judge based on the 3D center points of these objects.\nThe options describe the spatial relationship between two objects in te... | [
"scene0349_00/image_color/316.jpg"
] | obj_spatial_relation_oo | [
"scene0349_00/image_depth/316.png"
] | null | [
[
202,
0,
710,
220
]
] | null | null | null | [
[
299,
519,
671,
998
]
] | null | null | null | [
[
261,
0,
920,
212
],
[
387,
502,
869,
966
]
] | {
"red_bbox": {
"bbox_2d": [
134,
0,
764,
242
],
"center_cam": [
-0.0635527822,
-0.6729629885,
1.2986511937
],
"label": "shelf"
},
"blue_bbox": {
"bbox_2d": [
277,
477,
692,
1000
],
"center_cam": [
-0.050579218... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0242_01_473" | [
{
"from": "human",
"value": "Measure the Euclidean distance in meters from the observer’s position to the red point <mask> at the center of fire extinguisher. Calculate or judge based on the 3D center points of these objects. To illustrate the observer's perspective, we designate the first image as the main... | [
"scene0242_01/image_color/757.jpg",
"scene0242_01/image_color/916.jpg",
"scene0242_01/image_color/691.jpg"
] | distance_prediction_oc_mv | [
"scene0242_01/image_depth/757.png",
"scene0242_01/image_depth/916.png",
"scene0242_01/image_depth/691.png"
] | [
[
889,
548
]
] | null | null | null | null | null | null | null | {
"0": [
2,
0
]
} | {
"0": [],
"1": [],
"2": [
[
1119,
506,
1184,
554
]
]
} | {
"red_point": {
"current_frame": 2,
"current_frame_3d": {
"bbox_2d": [
802,
350,
990,
756
],
"center_cam": [
0.6962960261000001,
0.0650892374,
1.6138300507999999
],
"label": "fire extinguisher"
},
"all_frame_3d": {
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
2
]
] | 2 | null |
null | [
{
"from": "human",
"value": "How does man compare to hand in terms of their positions in the image? Select from the following choices. (A) right,below,in front (B) left,below,behind (C) left,above,in front (D) left,below,in front \nRelevant objects: man <mask>, hand <mask>."
},
{
"from": "gpt",
... | [
"/lustre/fsw/portfolios/nvr/users/sifeil/datasets/Openimages/train/70c756afb0a1d85c.jpg"
] | null | [
"/home/sifeil/datasets/Aero_v0/v0/spatialrgpt_ft/depth/70c756afb0a1d85c.png"
] | null | null | null | null | null | null | null | null | null | [
[
92,
91,
708,
679
],
[
516,
171,
613,
243
]
] | {
"man": {
"bbox_2d": [
92,
91,
708,
679
],
"center_cam": [
-0.330084,
-0.11619000000000002,
2.36736
]
},
"hand": {
"bbox_2d": [
516,
171,
613,
243
],
"center_cam": [
0.0440534,
-0.290968,
2.01912
]... | [
683,
1024
] | [
"right,below,in front",
"left,below,behind",
"left,above,in front",
"left,below,in front"
] | spatial relation | How does man compare to hand in terms of their positions in the image? | How does man compare to hand in terms of their positions in the image? Select from the following choices. (A) right,below,in front (B) left,below,behind (C) left,above,in front (D) left,below,in front | D | left,below,in front | 70c756afb0a1d85c.jpg | [
{
"label": "man",
"bbox": [
92.9444580078,
91.3165893555,
708.8200073242,
679.5759887695
],
"camera_oriented_bbox": "OrientedBoundingBox: center: (0.330084, 0.11619, 2.36736), extent: 1.33475, 1.37291, 0.672992)"
},
{
"label": "hand",
"bbox": [
516.618103027... | null | null | null | null |
"scene0237_01_125" | [
{
"from": "human",
"value": "If shower curtain (red point) is at a depth of 1.3, compute the depth difference between toilet (green point) and bathtub (blue point) as an absolute value in meters. Calculate or judge based on the 3D center points of these objects. The depth is calculated based on the image wh... | [
"scene0237_01/image_color/423.jpg",
"scene0237_01/image_color/217.jpg",
"scene0237_01/image_color/63.jpg"
] | depth_prediction_oo_mv | [
"scene0237_01/image_depth/423.png",
"scene0237_01/image_depth/217.png",
"scene0237_01/image_depth/63.png"
] | [
[
187,
391
]
] | null | [
[
187,
849
]
] | null | [
[
494,
574
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
0,
2,
1
]
] | null | null |
null | [
{
"from": "human",
"value": "How many Fridges are visible in the scene?\nSelect the correct response from the given choices.\nA. 10\nB. 8\nC. 4\nD. 9\nE. 1\nYour answer can only include one of options A, B, C, D or E."
},
{
"from": "gpt",
"value": "E"
}
] | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00084/00084137_0.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00084/00084137_0.png"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0089_02_3" | [
{
"from": "human",
"value": "What are the changes in the spatial configuration of book (red bbox <mask>) relative to monitor (yellow bbox <mask>) as seen by the observer upon observer moving to pillow (green bbox <mask>) and focusing on desk (blue bbox <mask>)? Calculate or judge based on the 3D center poin... | [
"scene0089_02/image_color/397.jpg",
"scene0089_02/image_color/109.jpg",
"scene0089_02/image_color/0.jpg"
] | spatial_imagination_oo_mv | [
"scene0089_02/image_depth/397.png",
"scene0089_02/image_depth/109.png",
"scene0089_02/image_depth/0.png"
] | [
[
590,
120
]
] | [
[
507,
83,
673,
162
]
] | [
[
793,
365
]
] | [
[
632,
153,
995,
438
]
] | [
[
648,
476
]
] | [
[
179,
173,
997,
861
]
] | [
[
436,
66
]
] | [
[
299,
1,
576,
205
]
] | {
"0": [
0,
0
],
"1": [
2,
0
],
"2": [
2,
1
],
"3": [
0,
1
]
} | {
"0": [
[
657,
80,
872,
156
],
[
231,
167,
1292,
833
]
],
"1": [],
"2": [
[
387,
0,
746,
198
],
[
819,
148,
1289,
423
]
]
} | {} | [
968,
1296
] | null | null | null | null | null | null | null | null | [
[
0,
2,
0,
2
]
] | [
[
0,
2,
0,
2
]
] | null | null |
"scene0034_01_49" | [
{
"from": "human",
"value": "How far is the red point <mask> at the center of toilet (red point <mask>) from the person who took the image? State the result in meters. Calculate or judge based on the 3D center points of these objects. Submit your response as one numeric value only."
},
{
"from": "gp... | [
"scene0034_01/image_color/329.jpg"
] | distance_prediction_oc | [
"scene0034_01/image_depth/329.png"
] | [
[
387,
551
]
] | null | null | null | null | null | null | null | null | [
[
469,
509,
533,
557
],
[
469,
509,
533,
557
]
] | {
"red_point": {
"bbox_2d": [
73,
164,
717,
1000
],
"center_cam": [
-0.1890853556,
0.0637952732,
1.5116020234
],
"label": "toilet"
}
} | [
968,
1296
] | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0204_01_216" | [
{
"from": "human",
"value": "The depth of office chair (red point) is known to be 2.1. Calculate the absolute value of the depth difference in meters between stack of chairs (green point) and office chair (blue point). Calculate or judge based on the 3D center points of these objects. The depth is calculate... | [
"scene0204_01/image_color/246.jpg",
"scene0204_01/image_color/618.jpg",
"scene0204_01/image_color/209.jpg"
] | depth_prediction_oo_mv | [
"scene0204_01/image_depth/246.png",
"scene0204_01/image_depth/618.png",
"scene0204_01/image_depth/209.png"
] | [
[
947,
115
]
] | null | [
[
752,
51
]
] | null | [
[
456,
648
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
0,
2,
1
]
] | null | null |
"scene0529_02_219" | [
{
"from": "human",
"value": "How does the spatial interaction between closet doors (red bbox <mask>) and chair (yellow bbox <mask>) change from the observer’s perspective after observer moving to chair (green bbox <mask>) and focusing on chair (blue bbox <mask>)? Calculate or judge based on the 3D center po... | [
"scene0529_02/image_color/953.jpg"
] | spatial_imagination_oo | [
"scene0529_02/image_depth/953.png"
] | [
[
927,
71
]
] | [
[
789,
6,
995,
461
]
] | [
[
268,
583
]
] | [
[
71,
351,
438,
919
]
] | [
[
493,
467
]
] | [
[
368,
217,
622,
750
]
] | [
[
734,
415
]
] | [
[
627,
181,
893,
697
]
] | null | [
[
1022,
5,
1289,
446
],
[
812,
175,
1157,
674
],
[
92,
339,
567,
889
],
[
476,
210,
806,
726
]
] | {
"red_bbox": {
"bbox_2d": [
773,
0,
1000,
481
],
"center_cam": [
1.4154534089,
-1.056979007,
3.0157389101
],
"label": "door"
},
"green_bbox": {
"bbox_2d": [
76,
263,
452,
959
],
"center_cam": [
-0.536911218000... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0561_01_115" | [
{
"from": "human",
"value": "Determine where the observer from the second image is located in the coordinate system of the first image. Provide image-plane coordinates and depth in meters. Choose the right response from the choices provided.\nA. Image Coor:(769, 795), Depth:0.8 meters\nB. Image Coor:(57, 85... | [
"scene0561_01/image_color/1324.jpg",
"scene0561_01/image_color/1036.jpg"
] | camera_motion_infer | [
"scene0561_01/image_depth/1324.png",
"scene0561_01/image_depth/1036.png"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0584_02_41546" | [
{
"from": "human",
"value": "The center of the monitor (red point) is positioned at 1.6 meters. Based on this, predict the depth of the center of the monitor (blue point). Calculate or judge based on the 3D center points of these objects. Select the correct answer from the given choices.\nA. 0.9\nB. 1.4\nC... | [
"scene0584_02/image_color/952.jpg",
"scene0584_02/image_color/454.jpg",
"scene0584_02/image_color/686.jpg"
] | depth_prediction_oc_mv | [
"scene0584_02/image_depth/952.png",
"scene0584_02/image_depth/454.png",
"scene0584_02/image_depth/686.png"
] | [
[
891,
138
]
] | null | null | null | [
[
579,
412
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
0,
1
]
] | null | null |
null | [
{
"from": "human",
"value": "How does tree relate to pipe in the image? Select from the following choices. (A) right,above,behind (B) right,below,behind (C) left,above,behind (D) right,above,in front \nRelevant objects: tree <mask>, pipe <mask>."
},
{
"from": "gpt",
"value": "A"
}
] | [
"/lustre/fsw/portfolios/nvr/users/sifeil/datasets/Openimages/train/5432cf2fabc76dd6.jpg"
] | null | [
"/home/sifeil/datasets/Aero_v0/v0/spatialrgpt_ft/depth/5432cf2fabc76dd6.png"
] | null | null | null | null | null | null | null | null | null | [
[
849,
1,
958,
548
],
[
234,
545,
831,
620
]
] | {
"tree": {
"bbox_2d": [
849,
1,
958,
548
],
"center_cam": [
0.963432,
-0.311,
2.6310000000000002
]
},
"pipe": {
"bbox_2d": [
234,
545,
831,
620
],
"center_cam": [
-0.0325496,
0.560446,
3.00645
]
... | [
768,
1024
] | [
"right,above,behind",
"right,below,behind",
"left,above,behind",
"right,above,in front"
] | spatial relation | How does tree relate to pipe in the image? | How does tree relate to pipe in the image? Select from the following choices. (A) right,above,behind (B) right,below,behind (C) left,above,behind (D) right,above,in front | A | right,above,behind | 5432cf2fabc76dd6.jpg | [
{
"label": "tree",
"bbox": [
849.5772705078,
1.7979125977,
958.4587402344,
548.0745239258
],
"camera_oriented_bbox": "OrientedBoundingBox: center: (-0.963432, 0.311, 2.631), extent: 1.37837, 0.172072, 0.162265)"
},
{
"label": "pipe",
"bbox": [
234.1466674805... | null | null | null | null |
"scene0171_00_1300" | [
{
"from": "human",
"value": "What is the linear distance in meters between the observer’s location and the center of chair (red point)? Calculate or judge based on the 3D center points of these objects. The first image is designated to depict the main perspective, aligning with what the observer sees. Choos... | [
"scene0171_00/image_color/817.jpg",
"scene0171_00/image_color/52.jpg",
"scene0171_00/image_color/223.jpg"
] | distance_prediction_oc_mv | [
"scene0171_00/image_depth/817.png",
"scene0171_00/image_depth/52.png",
"scene0171_00/image_depth/223.png"
] | [
[
542,
294
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
1
]
] | null | null |
"scene0110_00_1463" | [
{
"from": "human",
"value": "Given the backpack (red point) is located at a depth of 2.0 meters in the Z-axis of the camera coordinate system, how far in depth is the desk (blue point) at its center? Calculate or judge based on the 3D center points of these objects. Your input must be limited to a single n... | [
"scene0110_00/image_color/406.jpg",
"scene0110_00/image_color/471.jpg",
"scene0110_00/image_color/500.jpg"
] | depth_prediction_oc_mv | [
"scene0110_00/image_depth/406.png",
"scene0110_00/image_depth/471.png",
"scene0110_00/image_depth/500.png"
] | [
[
669,
398
]
] | null | null | null | [
[
351,
592
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
1,
2
]
] | null | null |
"scene0111_01_72" | [
{
"from": "human",
"value": "What is the absolute depth difference between scale (green point) and telephone (blue point) if the depth of tv (red point) is 2.0? State the result in meters. Calculate or judge based on the 3D center points of these objects. Provide a numeric response with just one value."
}... | [
"scene0111_01/image_color/1338.jpg"
] | depth_prediction_oo | [
"scene0111_01/image_depth/1338.png"
] | [
[
954,
293
]
] | null | [
[
622,
660
]
] | null | [
[
568,
165
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0586_00_2633" | [
{
"from": "human",
"value": "What is the distance in meters between the observer and the center of trash can (red point <mask>)? Calculate or judge based on the 3D center points of these objects. Setting the first image as the main view ensures it reflects the observer's perspective. Provide a numeric respo... | [
"scene0586_00/image_color/962.jpg",
"scene0586_00/image_color/978.jpg",
"scene0586_00/image_color/60.jpg"
] | distance_prediction_oc_mv | [
"scene0586_00/image_depth/962.png",
"scene0586_00/image_depth/978.png",
"scene0586_00/image_depth/60.png"
] | [
[
574,
606
]
] | null | null | null | null | null | null | null | {
"0": [
2,
0
]
} | {
"0": [],
"1": [],
"2": [
[
711,
562,
776,
610
]
]
} | {
"red_point": {
"current_frame": 2,
"current_frame_3d": {
"bbox_2d": [
461,
403,
671,
827
],
"center_cam": [
0.21266193560000002,
0.228116065,
2.6024583145999998
],
"label": "bin"
},
"all_frame_3d": {
"0": {
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
2
]
] | 2 | null |
"scene0424_00_613" | [
{
"from": "human",
"value": "Using tv (red point <mask>) as a reference with its center at 1.7 meters depth, calculate the depth of books (blue point <mask>) at its center. Calculate or judge based on the 3D center points of these objects. Provide a numeric response with just one value."
},
{
"from... | [
"scene0424_00/image_color/72.jpg",
"scene0424_00/image_color/868.jpg",
"scene0424_00/image_color/1141.jpg"
] | depth_prediction_oc_mv | [
"scene0424_00/image_depth/72.png",
"scene0424_00/image_depth/868.png",
"scene0424_00/image_depth/1141.png"
] | [
[
566,
475
]
] | null | null | null | [
[
672,
112
]
] | null | null | null | {
"0": [
0,
0
],
"1": [
1,
0
]
} | {
"0": [
[
701,
435,
765,
484
]
],
"1": [
[
838,
84,
903,
132
]
],
"2": []
} | {
"red_point": {
"current_frame": 0,
"current_frame_3d": {
"bbox_2d": [
389,
291,
767,
706
],
"center_cam": [
0.1281936945,
-0.0435616682,
1.7093828980999999
],
"label": "tv"
},
"all_frame_3d": {
"0": {
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
0,
1
]
] | 0 | null |
"scene0515_01_2371" | [
{
"from": "human",
"value": "What is the distance in meters separating the observer from the center of window (red point <mask>)? Calculate or judge based on the 3D center points of these objects. By setting the first image as primary, we ensure it reflects the observer's perspective. Select the correct res... | [
"scene0515_01/image_color/568.jpg",
"scene0515_01/image_color/589.jpg",
"scene0515_01/image_color/1443.jpg"
] | distance_prediction_oc_mv | [
"scene0515_01/image_depth/568.png",
"scene0515_01/image_depth/589.png",
"scene0515_01/image_depth/1443.png"
] | [
[
875,
364
]
] | null | null | null | null | null | null | null | {
"0": [
2,
0
]
} | {
"0": [],
"1": [],
"2": [
[
1101,
328,
1166,
376
]
]
} | {
"red_point": {
"current_frame": 2,
"current_frame_3d": {
"bbox_2d": [
714,
0,
1000,
718
],
"center_cam": [
1.2226779826,
-0.3450288254,
2.9305675661
],
"label": "window"
},
"all_frame_3d": {
"0": {
"c... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
2
]
] | 2 | null |
"scene0040_00_858" | [
{
"from": "human",
"value": "What is the distance in meters from the red center of couch to the blue center of file cabinet in the image? Calculate or judge based on the 3D center points of these objects. Provide only one number for your response."
},
{
"from": "gpt",
"value": "1.3"
}
] | [
"scene0040_00/image_color/2841.jpg"
] | distance_prediction_oo | [
"scene0040_00/image_depth/2841.png"
] | [
[
882,
715
]
] | null | null | null | [
[
895,
388
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | [
{
"from": "human",
"value": "What is the spatial relationship between cloud and blanket in the image? Select from the following choices. (A) left,above,in front (B) right,above,behind (C) left,above,behind (D) left,below,behind \nRelevant objects: cloud <mask>, blanket <mask>."
},
{
"from": "gpt",
... | [
"/lustre/fsw/portfolios/nvr/users/sifeil/datasets/Openimages/train/b0884ebeea6bebe3.jpg"
] | null | [
"/home/sifeil/datasets/Aero_v0/v0/spatialrgpt_ft/depth/b0884ebeea6bebe3.png"
] | null | null | null | null | null | null | null | null | null | [
[
3,
3,
1020,
358
],
[
489,
716,
1019,
766
]
] | {
"cloud": {
"bbox_2d": [
3,
3,
1020,
358
],
"center_cam": [
-4.16637,
-28.7376,
274.823
]
},
"blanket": {
"bbox_2d": [
489,
716,
1019,
766
],
"center_cam": [
4.50492,
6.59105,
37.7529
]
}
} | [
768,
1024
] | [
"left,above,in front",
"right,above,behind",
"left,above,behind",
"left,below,behind"
] | spatial relation | What is the spatial relationship between cloud and blanket in the image? | What is the spatial relationship between cloud and blanket in the image? Select from the following choices. (A) left,above,in front (B) right,above,behind (C) left,above,behind (D) left,below,behind | C | left,above,behind | b0884ebeea6bebe3.jpg | [
{
"label": "cloud",
"bbox": [
3.1846313477,
3.1703643799,
1020.1812133789,
358.8952636719
],
"camera_oriented_bbox": "OrientedBoundingBox: center: (4.16637, 28.7376, 274.823), extent: 162.24, 50.3343, 0.00259152)"
},
{
"label": "blanket",
"bbox": [
489.92150... | null | null | null | null |
"scene0003_00_63" | [
{
"from": "human",
"value": "Identify the object that is spatially closer to kitchen counter (red point <mask>): the green point <mask>soap dispenser or the blue point <mask>paper towel dispenser. Calculate or judge based on the 3D center points of these objects. Choose the appropriate answer from the optio... | [
"scene0003_00/image_color/437.jpg",
"scene0003_00/image_color/786.jpg",
"scene0003_00/image_color/651.jpg"
] | distance_infer_center_oo_mv | [
"scene0003_00/image_depth/437.png",
"scene0003_00/image_depth/786.png",
"scene0003_00/image_depth/651.png"
] | [
[
526,
899
]
] | null | [
[
168,
49
]
] | null | [
[
677,
434
]
] | null | null | null | {
"0": [
0,
0
],
"1": [
1,
0
],
"2": [
0,
1
]
} | {
"0": [
[
649,
846,
714,
894
],
[
844,
395,
909,
444
]
],
"1": [
[
185,
23,
250,
71
]
],
"2": []
} | {
"red_point": {
"current_frame": 0,
"current_frame_3d": {
"bbox_2d": [
57,
754,
1000,
1000
],
"center_cam": [
0.0567806863,
1.0121721104999999,
1.566446724
],
"label": "cabinet"
},
"all_frame_3d": {
"0": {
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
0,
1,
0
]
] | 0 | null |
"scene0268_02_41" | [
{
"from": "human",
"value": "What is the exact distance in meters from the observer to the center of cup (red point <mask>)? Calculate or judge based on the 3D center points of these objects. The answer should be a single number, nothing more."
},
{
"from": "gpt",
"value": "1.0"
}
] | [
"scene0268_02/image_color/517.jpg"
] | distance_prediction_oc | [
"scene0268_02/image_depth/517.png"
] | [
[
569,
415
]
] | null | null | null | null | null | null | null | null | [
[
705,
377,
769,
425
]
] | {
"red_point": {
"bbox_2d": [
513,
334,
623,
500
],
"center_cam": [
0.0762291014,
-0.0700317731,
0.9971621549
],
"label": "cup"
}
} | [
968,
1296
] | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0507_00_1529" | [
{
"from": "human",
"value": "How must the observer adjust their position to go from the first view to the second?\nProvide the camera movement and rotation in the following format:\nmove_<right_or_left>:<meters>,move_<down_or_up>:<meters>,move_<forward_or_back>:<meters>,rotate_<down_or_up>:<degrees>,rotate_... | [
"scene0507_00/image_color/1124.jpg",
"scene0507_00/image_color/170.jpg"
] | view_change_infer | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0347_01_1712" | [
{
"from": "human",
"value": "Measure the Euclidean distance from the center of coffee kettle (red point <mask>) to the center of coffee kettle (blue point <mask>) in meters. Calculate or judge based on the 3D center points of these objects. Enter one numeric value as your answer."
},
{
"from": "gpt"... | [
"scene0347_01/image_color/329.jpg",
"scene0347_01/image_color/292.jpg",
"scene0347_01/image_color/219.jpg"
] | distance_prediction_oo_mv | [
"scene0347_01/image_depth/329.png",
"scene0347_01/image_depth/292.png",
"scene0347_01/image_depth/219.png"
] | [
[
372,
281
]
] | null | null | null | [
[
770,
394
]
] | null | null | null | {
"0": [
0,
0
],
"1": [
1,
0
]
} | {
"0": [
[
449,
247,
514,
296
]
],
"1": [
[
965,
357,
1030,
405
]
],
"2": []
} | {
"red_point": {
"current_frame": 0,
"current_frame_3d": {
"bbox_2d": [
292,
141,
441,
427
],
"center_cam": [
-0.1921805232,
-0.2336841026,
1.2988958007
],
"label": "kettle"
},
"all_frame_3d": {
"0": {
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
0,
1
]
] | 0 | null |
"scene0560_00_1128" | [
{
"from": "human",
"value": "Knowing that the depth of lamp (red point) is 2.5, how much difference in depth is there between bed (green point) and pillow (blue point)? Provide the result in meters. Calculate or judge based on the 3D center points of these objects. The depth is calculated based on the image... | [
"scene0560_00/image_color/1129.jpg",
"scene0560_00/image_color/78.jpg",
"scene0560_00/image_color/1112.jpg"
] | depth_prediction_oo_mv | [
"scene0560_00/image_depth/1129.png",
"scene0560_00/image_depth/78.png",
"scene0560_00/image_depth/1112.png"
] | [
[
854,
438
]
] | null | [
[
332,
473
]
] | null | [
[
451,
226
]
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
[
0,
2,
1
]
] | null | null |
"scene0211_02_617" | [
{
"from": "human",
"value": "How far, in meters, is the red point <mask> at the center of monitor from the observer in this image? Calculate or judge based on the 3D center points of these objects. We make the first image the main perspective, representing the observer's viewpoint. Your response should cons... | [
"scene0211_02/image_color/320.jpg",
"scene0211_02/image_color/120.jpg",
"scene0211_02/image_color/1847.jpg"
] | distance_prediction_oc_mv | [
"scene0211_02/image_depth/320.png",
"scene0211_02/image_depth/120.png",
"scene0211_02/image_depth/1847.png"
] | [
[
372,
531
]
] | null | null | null | null | null | null | null | {
"0": [
2,
0
]
} | {
"0": [],
"1": [],
"2": [
[
449,
489,
514,
538
]
]
} | {
"red_point": {
"current_frame": 2,
"current_frame_3d": {
"bbox_2d": [
240,
387,
480,
703
],
"center_cam": [
-0.293425936,
0.0558758787,
1.9918787572
],
"label": "monitor"
},
"all_frame_3d": {
"0": {
"... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
2
]
] | 2 | null |
null | [
{
"from": "human",
"value": "Is Doorway (marked B) to the left of Doorway (marked C)?\nSelect the correct response from the given choices.\nA. no\nB. yes\nYour answer can only include one of options A or B."
},
{
"from": "gpt",
"value": "A"
}
] | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/images/train/00061/00061091_0.jpg"
] | null | [
"/lustre/fsw/portfolios/nvr/users/yataij/data/SAT-all/processed/depth/images/train/00061/00061091_0.png"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
"scene0232_01_889" | [
{
"from": "human",
"value": "How far, in meters, is the observer from the center of paper towel roll (red point <mask>) based on the given photo? Calculate or judge based on the 3D center points of these objects. By setting the first image as primary, we ensure it reflects the observer's perspective. Choose... | [
"scene0232_01/image_color/1350.jpg",
"scene0232_01/image_color/1082.jpg",
"scene0232_01/image_color/1425.jpg"
] | distance_prediction_oc_mv | [
"scene0232_01/image_depth/1350.png",
"scene0232_01/image_depth/1082.png",
"scene0232_01/image_depth/1425.png"
] | [
[
435,
287
]
] | null | null | null | null | null | null | null | {
"0": [
1,
0
]
} | {
"0": [],
"1": [
[
531,
253,
596,
302
]
],
"2": []
} | {
"red_point": {
"current_frame": 1,
"current_frame_3d": {
"bbox_2d": [
359,
237,
517,
339
],
"center_cam": [
-0.1377453008,
-0.3562414644,
1.9621427523000001
],
"label": "tissue"
},
"all_frame_3d": {
"0": {
... | [
968,
1296
] | null | null | null | null | null | null | null | null | null | [
[
1
]
] | 1 | null |
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