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imagewidth (px) 210
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stringlengths 208
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stringlengths 15
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [259, 261, 273, 271] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "ds"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 423, "bbox": [259, 261, 273, 271], "raw_data": {"coco_file_name": "COCO_train2014_000000129926.jpg", "image_id": "129926", "caption": ["A yellow and purple boat sitting on top of a sandy beach.", "The body board is on the bench near many people swimming in the water.", "A blue surfboard on beach with people in the water.", "a large surf board on the beach with people in water in the back", "A surfboard lies propped in a stand on the beach."], "ocr_tokens": ["ds"], "ocr_info": [{"word": "ds", "bounding_box": {"width": 0.0227, "height": 0.0236, "top_left_x": 0.4053, "top_left_y": 0.6173}}], "image_width": 640, "image_height": 423}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [288, 221, 395, 241] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "RAVINTOLA"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 425, "bbox": [288, 221, 395, 241], "raw_data": {"coco_file_name": "COCO_train2014_000000121535.jpg", "image_id": "121535", "caption": ["A COUPLE OF WOOD SIGNS POINTED IN DIFFERENT DIRECTIONS", "A street sign with lots of streets listed on it made of wood.", "The carved sign has direction arrows with the names carved into them.", "A wooden sign with several arrows on it pointing", "A large wooden sign showing directions to many different cities and towns."], "ocr_tokens": ["RAVINTOLA", "KOTKA", "SAAGA", "SAVOTTA", "BARRI", "csgphotos", "csgp", "csgphotos", "K", "0200", "SHAR"], "ocr_info": [{"word": "RAVINTOLA", "bounding_box": {"width": 0.1672, "height": 0.0485, "top_left_x": 0.4514, "top_left_y": 0.5207}}, {"word": "KOTKA", "bounding_box": {"width": 0.0992, "height": 0.052, "top_left_x": 0.4306, "top_left_y": 0.4515}}, {"word": "SAAGA", "bounding_box": {"width": 0.1075, "height": 0.0546, "top_left_x": 0.1802, "top_left_y": 0.3202}}, {"word": "SAVOTTA", "bounding_box": {"width": 0.1392, "height": 0.0722, "top_left_x": 0.1684, "top_left_y": 0.3908}}, {"word": "BARRI", "bounding_box": {"width": 0.0761, "height": 0.0482, "top_left_x": 0.4184, "top_left_y": 0.6141}}, {"word": "csgphotos", "bounding_box": {"width": 0.2219, "height": 0.2769, "top_left_x": 0.4466, "top_left_y": 0.7031}}, {"word": "csgp", "bounding_box": {"width": 0.105, "height": 0.1595, "top_left_x": 0.8934, "top_left_y": 0.3612}}, {"word": "csgphotos", "bounding_box": {"width": 0.2259, "height": 0.256, "top_left_x": 0.6675, "top_left_y": 0.4967}}, {"word": "K", "bounding_box": {"width": 0.0161, "height": 0.0513, "top_left_x": 0.1084, "top_left_y": 0.8821}}, {"word": "0200", "bounding_box": {"width": 0.045, "height": 0.0513, "top_left_x": 0.1366, "top_left_y": 0.8776}}, {"word": "SHAR", "bounding_box": {"width": 0.095, "height": 0.1024, "top_left_x": 0.4495, "top_left_y": 0.3129}}], "image_width": 640, "image_height": 425}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [12, 183, 31, 199] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "BY"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 201, "bbox": [12, 183, 31, 199], "raw_data": {"coco_file_name": "COCO_train2014_000000049024.jpg", "image_id": "49024", "caption": ["a field that has a few zebras in the field", "Several zebras standing and lying on a dry grassy field.", "A herd of zebras in the wild, standing on dirt and dry grass.", "A panorama shot of zebras on the African plain", "some zebras standing around one laying on the ground "], "ocr_tokens": ["BY", "Luna", "LW"], "ocr_info": [{"word": "BY", "bounding_box": {"width": 0.0283, "height": 0.0806, "top_left_x": 0.0202, "top_left_y": 0.9129}}, {"word": "Luna", "bounding_box": {"width": 0.0591, "height": 0.0602, "top_left_x": 0.0516, "top_left_y": 0.9085}}, {"word": "LW", "bounding_box": {"width": 0.0367, "height": 0.0602, "top_left_x": 0.113, "top_left_y": 0.91}}], "image_width": 640, "image_height": 201}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [83, 242, 129, 253] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "GOOGLE"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 500, "image_height": 363, "bbox": [83, 242, 129, 253], "raw_data": {"coco_file_name": "COCO_train2014_000000225989.jpg", "image_id": "225989", "caption": ["there are many people and horses standing on this beach", "A bunch of people are sanding on a beach", "A beach with beach goers, boats, and people on horseback.", "a bunch of people are walking around a beach", "a beach scene with some canoes and lots of people, and a couple horses."], "ocr_tokens": ["GOOGLE", "351", "A", "CO-", "320"], "ocr_info": [{"word": "GOOGLE", "bounding_box": {"width": 0.0924, "height": 0.0292, "top_left_x": 0.1666, "top_left_y": 0.6694}}, {"word": "351", "bounding_box": {"width": 0.0438, "height": 0.0309, "top_left_x": 0.1152, "top_left_y": 0.6694}}, {"word": "A", "bounding_box": {"width": 0.0228, "height": 0.0223, "top_left_x": 0.2778, "top_left_y": 0.6107}}, {"word": "CO-", "bounding_box": {"width": 0.0284, "height": 0.0215, "top_left_x": 0.3192, "top_left_y": 0.6116}}, {"word": "320", "bounding_box": {"width": 0.0666, "height": 0.0424, "top_left_x": 0.7556, "top_left_y": 0.9694}}], "image_width": 500, "image_height": 363}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [340, 117, 353, 136] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "30"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [340, 117, 353, 136], "raw_data": {"coco_file_name": "COCO_train2014_000000027175.jpg", "image_id": "27175", "caption": ["Toy firetruck displayed with other vehicles on street scene.", "Toy models of a firetruck, police car and other vehicles.", "a close up of a toy fire truck near other toy cars", "A model fire engine sits on the street in a diorama.", "A smile fire truck replica is shown in lime green."], "ocr_tokens": ["30", "METRO", "1stPIX"], "ocr_info": [{"word": "30", "bounding_box": {"width": 0.0206, "height": 0.0392, "top_left_x": 0.5314, "top_left_y": 0.2454}}, {"word": "METRO", "bounding_box": {"width": 0.028, "height": 0.0219, "top_left_x": 0.5705, "top_left_y": 0.356}}, {"word": "1stPIX", "bounding_box": {"width": 0.1087, "height": 0.04, "top_left_x": 0.0094, "top_left_y": 0.9487}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [5, 4, 69, 27] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Time"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 473, "image_height": 640, "bbox": [5, 4, 69, 27], "raw_data": {"coco_file_name": "COCO_train2014_000000197195.jpg", "image_id": "197195", "caption": ["a man is holding a teddy bear by the hand", "A tall man holding a teddy bear with a basketball.", "a man holding a teddy bear standing next to a basketball.", "A man stands next to a basketball as it sits on the floor.", "A model is standing with a basketball and a stuffed animal."], "ocr_tokens": ["Time", "goes", "by.", "28.305,"], "ocr_info": [{"word": "Time", "bounding_box": {"width": 0.1353, "height": 0.0356, "top_left_x": 0.011, "top_left_y": 0.0073}}, {"word": "goes", "bounding_box": {"width": 0.1304, "height": 0.0367, "top_left_x": 0.1607, "top_left_y": 0.0153}}, {"word": "by.", "bounding_box": {"width": 0.0653, "height": 0.0467, "top_left_x": 0.3108, "top_left_y": 0.0044}}, {"word": "28.305,", "bounding_box": {"width": 0.178, "height": 0.0392, "top_left_x": 0.0186, "top_left_y": 0.055}}], "image_width": 473, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [373, 143, 384, 154] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "2"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [373, 143, 384, 154], "raw_data": {"coco_file_name": "COCO_train2014_000000270186.jpg", "image_id": "270186", "caption": ["A room that has a couch and two chairs in it.", "A living room with carpeted floors and white walls. ", "A couch and a table in a room.", "a living room with some couches and chairs inside of it ", "there is a beige couch and two chairs in this living room"], "ocr_tokens": ["2", "DRINK "], "ocr_info": [{"word": "2", "bounding_box": {"width": 0.0159, "height": 0.0242, "top_left_x": 0.5842, "top_left_y": 0.2983}}, {"word": "DRINK ", "bounding_box": {"width": 0.0742, "height": 0.0927, "top_left_x": 0.575, "top_left_y": 0.2365}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [217, 74, 266, 94] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Century"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 478, "image_height": 500, "bbox": [217, 74, 266, 94], "raw_data": {"coco_file_name": "COCO_train2014_000000511752.jpg", "image_id": "511752", "caption": ["A moped is parked outside a colorful building..", "A moped in a street in front of a brightly colored building.", "A moped that is sitting in front of a building.", "A moped parked in front of a business.", "A scooter parked in front of a business on the sidewalk."], "ocr_tokens": ["Century", "20", "Antigues", "787", "13", "Fye", "milka"], "ocr_info": [{"word": "Century", "bounding_box": {"width": 0.1033, "height": 0.04, "top_left_x": 0.4542, "top_left_y": 0.1488}}, {"word": "20", "bounding_box": {"width": 0.0287, "height": 0.0264, "top_left_x": 0.4138, "top_left_y": 0.1624}}, {"word": "Antigues", "bounding_box": {"width": 0.1123, "height": 0.0362, "top_left_x": 0.4412, "top_left_y": 0.185}}, {"word": "787", "bounding_box": {"width": 0.1126, "height": 0.055, "top_left_x": 0.7366, "top_left_y": 0.1774}}, {"word": "13", "bounding_box": {"width": 0.0316, "height": 0.0248, "top_left_x": 0.9289, "top_left_y": 0.11}}, {"word": "Fye", "bounding_box": {"width": 0.1105, "height": 0.0724, "top_left_x": 0.7435, "top_left_y": 0.277}}, {"word": "milka", "bounding_box": {"width": 0.1218, "height": 0.0572, "top_left_x": 0.2619, "top_left_y": 0.7456}}], "image_width": 478, "image_height": 500}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [540, 152, 594, 178] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "OPEN"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [540, 152, 594, 178], "raw_data": {"coco_file_name": "COCO_train2014_000000357790.jpg", "image_id": "357790", "caption": ["A yellow fire hydrant sitting on the side of a road", "A fire hydrant sitting near the road where cars are driving.", "the yellow top of a fire hydrant with cars in the background", "A fire hydrant on the outskirts of city rush hour traffic.", "A yellow fire hydrant in the forefront of a roadway. "], "ocr_tokens": ["OPEN", "00"], "ocr_info": [{"word": "OPEN", "bounding_box": {"width": 0.0838, "height": 0.0546, "top_left_x": 0.8452, "top_left_y": 0.3171}}, {"word": "00", "bounding_box": {"width": 0.0777, "height": 0.0748, "top_left_x": 0.9228, "top_left_y": 0.0638}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [521, 343, 636, 356] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "ronald-tan.com"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 360, "bbox": [521, 343, 636, 356], "raw_data": {"coco_file_name": "COCO_train2014_000000551522.jpg", "image_id": "551522", "caption": ["two women sitting at a long table making egg shell vases", "A woman in blue shirt creating ceramics at a table.", "The woman are painting the vases in their workshop. ", "Two women sitting at a table and decorating vases.", "Two women at a long table working on some urns."], "ocr_tokens": ["ronald-tan.com"], "ocr_info": [{"word": "ronald-tan.com", "bounding_box": {"width": 0.1808, "height": 0.0344, "top_left_x": 0.8142, "top_left_y": 0.9553}}], "image_width": 640, "image_height": 360}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [480, 208, 508, 219] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "LANE"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [480, 208, 508, 219], "raw_data": {"coco_file_name": "COCO_train2014_000000552791.jpg", "image_id": "552791", "caption": ["A white two story building with a clock mounted on the side of it.", "Large black clock sitting on the side of a white house. ", "A clock is built into the face of a white building.", "A clock set in to the wall of a house", "A clock in between two windows on the side of a building."], "ocr_tokens": ["LANE", "HEADRD"], "ocr_info": [{"word": "LANE", "bounding_box": {"width": 0.0425, "height": 0.0229, "top_left_x": 0.7514, "top_left_y": 0.435}}, {"word": "HEADRD", "bounding_box": {"width": 0.072, "height": 0.0254, "top_left_x": 0.7983, "top_left_y": 0.43}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [141, 217, 187, 239] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "RLEEI"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [141, 217, 187, 239], "raw_data": {"coco_file_name": "COCO_train2014_000000208820.jpg", "image_id": "208820", "caption": ["A group of 6 women in hairnets and aprons posing for a photo in a kitchen environment.", "A group of women standing next to each other in a room.", "Taking time out to pose for a picture in the cafeteria.", "A group of kitchen workers are standing in the kitchen together.", "a group of people take a picture while holding some items "], "ocr_tokens": ["RLEEI"], "ocr_info": [{"word": "RLEEI", "bounding_box": {"width": 0.0723, "height": 0.0471, "top_left_x": 0.2208, "top_left_y": 0.4523}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [291, 89, 311, 98] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "602"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [291, 89, 311, 98], "raw_data": {"coco_file_name": "COCO_train2014_000000383131.jpg", "image_id": "383131", "caption": ["A street scene with two buses and a group of people.", "A bus parked out in front of a building picking people up for a trip.", "A blue bus is parked near a curb and a small crowd of people.", "A bus parked along the side of the road picking up passengers. ", "a public transit bus on a city street"], "ocr_tokens": ["602"], "ocr_info": [{"word": "602", "bounding_box": {"width": 0.0312, "height": 0.0206, "top_left_x": 0.4552, "top_left_y": 0.2103}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [222, 100, 258, 116] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "inter"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 480, "image_height": 640, "bbox": [222, 100, 258, 116], "raw_data": {"coco_file_name": "COCO_train2014_000000442287.jpg", "image_id": "442287", "caption": ["A man is holding a fork over a cake.", "a man sitting in front of a whiteboard eatting a piece of cake", "A man in a hat sits down with a plate of cake.", "A person sitting at a table with a large piece of chocolate cake in front of them.", "A man with a wool cap eats a slice of cake."], "ocr_tokens": ["inter", "5", "3", "3", "14", "Tost", "TF,", "Do", "R6T", "9", "Call", "our", "D"], "ocr_info": [{"word": "inter", "bounding_box": {"width": 0.0756, "height": 0.0241, "top_left_x": 0.4627, "top_left_y": 0.1573}}, {"word": "5", "bounding_box": {"width": 0.0302, "height": 0.0183, "top_left_x": 0.8029, "top_left_y": 0.0645}}, {"word": "3", "bounding_box": {"width": 0.0173, "height": 0.02, "top_left_x": 0.81, "top_left_y": 0.0333}}, {"word": "3", "bounding_box": {"width": 0.0335, "height": 0.0381, "top_left_x": 0.0006, "top_left_y": 0.2686}}, {"word": "14", "bounding_box": {"width": 0.0358, "height": 0.0252, "top_left_x": 0.0088, "top_left_y": 0.3086}}, {"word": "Tost", "bounding_box": {"width": 0.0531, "height": 0.0269, "top_left_x": 0.0725, "top_left_y": 0.3477}}, {"word": "TF,", "bounding_box": {"width": 0.0533, "height": 0.027, "top_left_x": 0.0781, "top_left_y": 0.3128}}, {"word": "Do", "bounding_box": {"width": 0.036, "height": 0.0261, "top_left_x": 0.2552, "top_left_y": 0.2669}}, {"word": "R6T", "bounding_box": {"width": 0.0544, "height": 0.0269, "top_left_x": 0.2496, "top_left_y": 0.3155}}, {"word": "9", "bounding_box": {"width": 0.0196, "height": 0.0191, "top_left_x": 0.7587, "top_left_y": 0.3311}}, {"word": "Call", "bounding_box": {"width": 0.0521, "height": 0.0227, "top_left_x": 0.6627, "top_left_y": 0.3692}}, {"word": "our", "bounding_box": {"width": 0.0465, "height": 0.0139, "top_left_x": 0.2448, "top_left_y": 0.2313}}, {"word": "D", "bounding_box": {"width": 0.0323, "height": 0.0252, "top_left_x": 0.0042, "top_left_y": 0.2356}}], "image_width": 480, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [263, 92, 285, 102] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "I"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 373, "bbox": [263, 92, 285, 102], "raw_data": {"coco_file_name": "COCO_train2014_000000563364.jpg", "image_id": "563364", "caption": ["a group of people standing in front of a long red clothed table lined with seven different pizzas. ", "A group of people are posing in front of a table that has plates of food.", "A group of people posing in front of a table of food. ", "A gathering of people around a table of pizza.", "A table filled with various pizzas with notes next to them."], "ocr_tokens": ["I", "I", "I", "I", "I", "I"], "ocr_info": [{"word": "I", "bounding_box": {"width": 0.0348, "height": 0.0276, "top_left_x": 0.4111, "top_left_y": 0.2472}}, {"word": "I", "bounding_box": {"width": 0.0412, "height": 0.0155, "top_left_x": 0.4847, "top_left_y": 0.3083}}, {"word": "I", "bounding_box": {"width": 0.0242, "height": 0.0139, "top_left_x": 0.4158, "top_left_y": 0.2794}}, {"word": "I", "bounding_box": {"width": 0.0209, "height": 0.0131, "top_left_x": 0.4977, "top_left_y": 0.3453}}, {"word": "I", "bounding_box": {"width": 0.0161, "height": 0.0105, "top_left_x": 0.4653, "top_left_y": 0.3493}}, {"word": "I", "bounding_box": {"width": 0.0303, "height": 0.0134, "top_left_x": 0.4859, "top_left_y": 0.3332}}], "image_width": 640, "image_height": 373}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [203, 246, 274, 289] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "PORAL"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 418, "image_height": 640, "bbox": [203, 246, 274, 289], "raw_data": {"coco_file_name": "COCO_train2014_000000230673.jpg", "image_id": "230673", "caption": ["An older man sitting at a table next to associates at a convention.", "A man with a meal and drink at a round table.", "Man in black shirt sitting down with a plate of food.", "Two men sitting at a table eating a meal.", "People seated at a table with plates of food."], "ocr_tokens": ["PORAL"], "ocr_info": [{"word": "PORAL", "bounding_box": {"width": 0.1684, "height": 0.0658, "top_left_x": 0.4878, "top_left_y": 0.3858}}], "image_width": 418, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [36, 121, 46, 145] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "PORTED"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 500, "image_height": 333, "bbox": [36, 121, 46, 145], "raw_data": {"coco_file_name": "COCO_train2014_000000015219.jpg", "image_id": "15219", "caption": ["a very large pizza with a fork and a knife", "A thin crust pizza with tomatoes, olive and cheese on it.", "A delicious plate full of good and healthy good looking food. ", "A plate of pizza on a restaurant table. ", "A plate topped with a cheesy pizza with toppings."], "ocr_tokens": ["PORTED", "OKE", "COKE"], "ocr_info": [{"word": "PORTED", "bounding_box": {"width": 0.0216, "height": 0.0718, "top_left_x": 0.0722, "top_left_y": 0.3637}}, {"word": "OKE", "bounding_box": {"width": 0.0364, "height": 0.0303, "top_left_x": 0.3568, "top_left_y": 0.2853}}, {"word": "COKE", "bounding_box": {"width": 0.0408, "height": 0.0315, "top_left_x": 0.3902, "top_left_y": 0.2574}}], "image_width": 500, "image_height": 333}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [534, 131, 563, 148] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "MADE"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 640, "image_height": 480, "bbox": [534, 131, 563, 148], "raw_data": {"coco_file_name": "COCO_train2014_000000462071.jpg", "image_id": "462071", "caption": ["A produce market displaying racks of fresh fruits and vegetables.", "A stand has various fruits and veggies for sale. ", "A fruit stand with apples, bananas, oranges, pineapples, watermelon and grapes. ", "A display in a grocery store filled with lots of fresh fruits and vegetables.", "A market with fresh fruits and vegetables displayed for sale."], "ocr_tokens": ["MADE", "ORDER", "WE", "DELIVER", "Baskets", "298", "98", "981", "198", "151", "ft,", "59", "1495", "985", "99", "1493", "198", "1.50EA", "1.50 EA", "2.98 LB", "298", "298"], "ocr_info": [{"word": "MADE", "bounding_box": {"width": 0.0447, "height": 0.0348, "top_left_x": 0.8355, "top_left_y": 0.274}}, {"word": "ORDER", "bounding_box": {"width": 0.0462, "height": 0.0348, "top_left_x": 0.8969, "top_left_y": 0.2917}}, {"word": "WE", "bounding_box": {"width": 0.0238, "height": 0.0277, "top_left_x": 0.8483, "top_left_y": 0.3133}}, {"word": "DELIVER", "bounding_box": {"width": 0.0544, "height": 0.0294, "top_left_x": 0.8748, "top_left_y": 0.3233}}, {"word": "Baskets", "bounding_box": {"width": 0.1244, "height": 0.071, "top_left_x": 0.832, "top_left_y": 0.2238}}, {"word": "298", "bounding_box": {"width": 0.0316, "height": 0.0233, "top_left_x": 0.3125, "top_left_y": 0.3735}}, {"word": "98", "bounding_box": {"width": 0.0158, "height": 0.0202, "top_left_x": 0.4713, "top_left_y": 0.3696}}, {"word": "981", "bounding_box": {"width": 0.0242, "height": 0.02, "top_left_x": 0.568, "top_left_y": 0.3652}}, {"word": "198", "bounding_box": {"width": 0.0252, "height": 0.0183, "top_left_x": 0.6708, "top_left_y": 0.3652}}, {"word": "151", "bounding_box": {"width": 0.0161, "height": 0.0204, "top_left_x": 0.7398, "top_left_y": 0.3621}}, {"word": "ft,", "bounding_box": {"width": 0.0289, "height": 0.0625, "top_left_x": 0.8775, "top_left_y": 0.1794}}, {"word": "59", "bounding_box": {"width": 0.0202, "height": 0.0242, "top_left_x": 0.8538, "top_left_y": 0.2075}}, {"word": "1495", "bounding_box": {"width": 0.0292, "height": 0.0235, "top_left_x": 0.7984, "top_left_y": 0.2062}}, {"word": "985", "bounding_box": {"width": 0.0247, "height": 0.0223, "top_left_x": 0.7236, "top_left_y": 0.2037}}, {"word": "99", "bounding_box": {"width": 0.0331, "height": 0.0256, "top_left_x": 0.6713, "top_left_y": 0.2}}, {"word": "1493", "bounding_box": {"width": 0.0456, "height": 0.0285, "top_left_x": 0.615, "top_left_y": 0.1956}}, {"word": "198", "bounding_box": {"width": 0.0375, "height": 0.0277, "top_left_x": 0.5581, "top_left_y": 0.1967}}, {"word": "1.50EA", "bounding_box": {"width": 0.0398, "height": 0.0281, "top_left_x": 0.5052, "top_left_y": 0.194}}, {"word": "1.50 EA", "bounding_box": {"width": 0.0414, "height": 0.029, "top_left_x": 0.4497, "top_left_y": 0.1904}}, {"word": "2.98 LB", "bounding_box": {"width": 0.0433, "height": 0.0273, "top_left_x": 0.3859, "top_left_y": 0.194}}, {"word": "298", "bounding_box": {"width": 0.0459, "height": 0.0285, "top_left_x": 0.3241, "top_left_y": 0.1908}}, {"word": "298", "bounding_box": {"width": 0.0519, "height": 0.0308, "top_left_x": 0.2561, "top_left_y": 0.19}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [197, 356, 206, 366] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "HO"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 332, "image_height": 500, "bbox": [197, 356, 206, 366], "raw_data": {"coco_file_name": "COCO_train2014_000000132548.jpg", "image_id": "132548", "caption": ["A traffic light with a pedestrian crossing sign on it's sides.", "A traffic sign with lights on top. ", "A street sign points to destinations on a corner. ", "A tall pole with signs and other things hanging on it.", "A pole in the downtown area of a big city"], "ocr_tokens": ["HO", "STANDING", "ANYTIME", "ONE", "WAY", "Panasonic", "A3", "SO", "TIMES", "WAY", "ONE", "CHEVROLET", "TOSHIE"], "ocr_info": [{"word": "HO", "bounding_box": {"width": 0.0274, "height": 0.0198, "top_left_x": 0.594, "top_left_y": 0.7128}}, {"word": "STANDING", "bounding_box": {"width": 0.1036, "height": 0.0354, "top_left_x": 0.6322, "top_left_y": 0.6888}}, {"word": "ANYTIME", "bounding_box": {"width": 0.1102, "height": 0.0368, "top_left_x": 0.6136, "top_left_y": 0.7098}}, {"word": "ONE", "bounding_box": {"width": 0.0443, "height": 0.056, "top_left_x": 0.5244, "top_left_y": 0.5768}}, {"word": "WAY", "bounding_box": {"width": 0.0446, "height": 0.052, "top_left_x": 0.5816, "top_left_y": 0.6256}}, {"word": "Panasonic", "bounding_box": {"width": 0.1283, "height": 0.0484, "top_left_x": -0.0021, "top_left_y": 0.8654}}, {"word": "A3", "bounding_box": {"width": 0.0437, "height": 0.0448, "top_left_x": 0.4157, "top_left_y": 0.4116}}, {"word": "SO", "bounding_box": {"width": 0.0358, "height": 0.018, "top_left_x": 0.7425, "top_left_y": 0.4088}}, {"word": "TIMES", "bounding_box": {"width": 0.1178, "height": 0.0492, "top_left_x": 0.6105, "top_left_y": 0.424}}, {"word": "WAY", "bounding_box": {"width": 0.0816, "height": 0.0376, "top_left_x": 0.5355, "top_left_y": 0.5158}}, {"word": "ONE", "bounding_box": {"width": 0.0729, "height": 0.032, "top_left_x": 0.4256, "top_left_y": 0.549}}, {"word": "CHEVROLET", "bounding_box": {"width": 0.159, "height": 0.1028, "top_left_x": 0.1419, "top_left_y": 0.3198}}, {"word": "TOSHIE", "bounding_box": {"width": 0.134, "height": 0.0838, "top_left_x": -0.0009, "top_left_y": 0.207}}], "image_width": 332, "image_height": 500}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [441, 90, 501, 109] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "STUBBS"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 640, "image_height": 427, "bbox": [441, 90, 501, 109], "raw_data": {"coco_file_name": "COCO_train2014_000000080295.jpg", "image_id": "80295", "caption": ["A man playing baseball is holding a bat while a crowd watches.", "A man standing at home plate preparing to bat.", "A baseball player is holding a bat during a game. ", "a baseball player with a bat and some fans", "A baseball batter readies himself waiting for the pitch. "], "ocr_tokens": ["STUBBS", "6", "David", "daughter", "Moments"], "ocr_info": [{"word": "STUBBS", "bounding_box": {"width": 0.0939, "height": 0.0464, "top_left_x": 0.6891, "top_left_y": 0.2108}}, {"word": "6", "bounding_box": {"width": 0.033, "height": 0.093, "top_left_x": 0.717, "top_left_y": 0.2646}}, {"word": "David", "bounding_box": {"width": 0.1459, "height": 0.0763, "top_left_x": 0.0025, "top_left_y": 0.7876}}, {"word": "daughter", "bounding_box": {"width": 0.272, "height": 0.108, "top_left_x": 0.1744, "top_left_y": 0.7859}}, {"word": "Moments", "bounding_box": {"width": 0.2542, "height": 0.0518, "top_left_x": 0.7406, "top_left_y": 0.8089}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [230, 204, 316, 276] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "AUTHOR"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 640, "image_height": 480, "bbox": [230, 204, 316, 276], "raw_data": {"coco_file_name": "COCO_train2014_000000136415.jpg", "image_id": "136415", "caption": ["a bike parked on the wall and surrounded by shoes ", "A bike sits propped up above many pairs of shoes.", "A bicycle parked in a room, surrounded by many pairs of shoes.", "A bike leaning against a wall with shoes surrounding it. ", "The bike is parked among all of the many pairs of shoes."], "ocr_tokens": ["AUTHOR", "TROPHY"], "ocr_info": [{"word": "AUTHOR", "bounding_box": {"width": 0.1348, "height": 0.1488, "top_left_x": 0.3597, "top_left_y": 0.4265}}, {"word": "TROPHY", "bounding_box": {"width": 0.0977, "height": 0.0194, "top_left_x": 0.4316, "top_left_y": 0.3038}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [315, 114, 357, 142] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "LEFT"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 480, "image_height": 640, "bbox": [315, 114, 357, 142], "raw_data": {"coco_file_name": "COCO_train2014_000000281939.jpg", "image_id": "281939", "caption": ["Street signs that are standing in front of a building.", "A NYPD security sign is next to a crosswalk.", "Many street signs are lit up under a street lamp.", "A couple of signs on a city street.", "A pedestrian walk light is lit up on the corner of West 3th St. and Seventh Ave."], "ocr_tokens": ["LEFT", "LANE", "MUST", "TURN", "LEFT", "CAMERA", "Security Camera", "NYPD", "WAY", "ONE", "Ave", "Seventh", "461", "441", "West", "35th", "St", "170", "100"], "ocr_info": [{"word": "LEFT", "bounding_box": {"width": 0.0877, "height": 0.0427, "top_left_x": 0.6581, "top_left_y": 0.1795}}, {"word": "LANE", "bounding_box": {"width": 0.0944, "height": 0.0391, "top_left_x": 0.7652, "top_left_y": 0.1542}}, {"word": "MUST", "bounding_box": {"width": 0.1244, "height": 0.0477, "top_left_x": 0.6929, "top_left_y": 0.1955}}, {"word": "TURN", "bounding_box": {"width": 0.0946, "height": 0.0369, "top_left_x": 0.6427, "top_left_y": 0.2483}}, {"word": "LEFT", "bounding_box": {"width": 0.0927, "height": 0.0333, "top_left_x": 0.766, "top_left_y": 0.2208}}, {"word": "CAMERA", "bounding_box": {"width": 0.2279, "height": 0.1094, "top_left_x": 0.6204, "top_left_y": 0.8036}}, {"word": "Security Camera", "bounding_box": {"width": 0.25, "height": 0.1187, "top_left_x": 0.6094, "top_left_y": 0.7473}}, {"word": "NYPD", "bounding_box": {"width": 0.1667, "height": 0.0938, "top_left_x": 0.6642, "top_left_y": 0.6625}}, {"word": "WAY", "bounding_box": {"width": 0.0777, "height": 0.0688, "top_left_x": 0.7754, "top_left_y": 0.6156}}, {"word": "ONE", "bounding_box": {"width": 0.0833, "height": 0.0741, "top_left_x": 0.66, "top_left_y": 0.5572}}, {"word": "Ave", "bounding_box": {"width": 0.0946, "height": 0.0656, "top_left_x": 0.5517, "top_left_y": 0.4677}}, {"word": "Seventh", "bounding_box": {"width": 0.1613, "height": 0.098, "top_left_x": 0.385, "top_left_y": 0.5067}}, {"word": "461", "bounding_box": {"width": 0.0362, "height": 0.0312, "top_left_x": 0.5183, "top_left_y": 0.4775}}, {"word": "441", "bounding_box": {"width": 0.0387, "height": 0.0239, "top_left_x": 0.4713, "top_left_y": 0.5078}}, {"word": "West", "bounding_box": {"width": 0.1679, "height": 0.1509, "top_left_x": 0.3046, "top_left_y": 0.1313}}, {"word": "35th", "bounding_box": {"width": 0.1237, "height": 0.098, "top_left_x": 0.4767, "top_left_y": 0.2552}}, {"word": "St", "bounding_box": {"width": 0.0612, "height": 0.0719, "top_left_x": 0.6017, "top_left_y": 0.3375}}, {"word": "170", "bounding_box": {"width": 0.0515, "height": 0.0406, "top_left_x": 0.5142, "top_left_y": 0.2469}}, {"word": "100", "bounding_box": {"width": 0.0571, "height": 0.0417, "top_left_x": 0.4433, "top_left_y": 0.202}}], "image_width": 480, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [269, 180, 300, 363] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "HOTEL"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 640, "image_height": 480, "bbox": [269, 180, 300, 363], "raw_data": {"coco_file_name": "COCO_train2014_000000027873.jpg", "image_id": "27873", "caption": ["A large tall tower with a clock on the top.", "A hotel building near other buildings in the city.", "A narrow gap between two buildings with a clock tower in the middle", "A clock that is sitting on the side of a building.", "a group of building with a church with a built in clock in the side of it"], "ocr_tokens": ["HOTEL", "VI", "II"], "ocr_info": [{"word": "HOTEL", "bounding_box": {"width": 0.0488, "height": 0.3833, "top_left_x": 0.4213, "top_left_y": 0.375}}, {"word": "VI", "bounding_box": {"width": 0.0117, "height": 0.0171, "top_left_x": 0.6609, "top_left_y": 0.7671}}, {"word": "II", "bounding_box": {"width": 0.018, "height": 0.0192, "top_left_x": 0.687, "top_left_y": 0.6877}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [565, 388, 578, 402] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "z"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 640, "image_height": 427, "bbox": [565, 388, 578, 402], "raw_data": {"coco_file_name": "COCO_train2014_000000578841.jpg", "image_id": "578841", "caption": ["A group of children and women in snow gear next to parking lot full of cars.", "There are some kids standing with a woman on skis", "A woman with children standing on skis in a parking lot.", "A group of small children are skiing in the snow.", "A group of children standing next to each other on snow."], "ocr_tokens": ["z"], "ocr_info": [{"word": "z", "bounding_box": {"width": 0.0209, "height": 0.0328, "top_left_x": 0.8834, "top_left_y": 0.9091}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [285, 164, 321, 182] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "405C"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 640, "image_height": 480, "bbox": [285, 164, 321, 182], "raw_data": {"coco_file_name": "COCO_train2014_000000274022.jpg", "image_id": "274022", "caption": ["A city bus on the road in a public area.", "A bus going on a road On one side of road are buildings On other side is footpath.", "A bus in a major city scene during daytime", "The city bus is traveling down the busy street. ", "A white bus driving on road with people on streets."], "ocr_tokens": ["405C", "VITACURR", "corto", "405c", "VOLVO", "WB-2J63"], "ocr_info": [{"word": "405C", "bounding_box": {"width": 0.057, "height": 0.0373, "top_left_x": 0.4459, "top_left_y": 0.3427}}, {"word": "VITACURR", "bounding_box": {"width": 0.082, "height": 0.0321, "top_left_x": 0.51, "top_left_y": 0.344}}, {"word": "corto", "bounding_box": {"width": 0.0311, "height": 0.0133, "top_left_x": 0.488, "top_left_y": 0.5587}}, {"word": "405c", "bounding_box": {"width": 0.0391, "height": 0.02, "top_left_x": 0.485, "top_left_y": 0.52}}, {"word": "VOLVO", "bounding_box": {"width": 0.0331, "height": 0.0079, "top_left_x": 0.4709, "top_left_y": 0.6321}}, {"word": "WB-2J63", "bounding_box": {"width": 0.0412, "height": 0.0123, "top_left_x": 0.5272, "top_left_y": 0.6915}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [214, 324, 238, 343] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "SU"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 640, "image_height": 590, "bbox": [214, 324, 238, 343], "raw_data": {"coco_file_name": "COCO_train2014_000000272312.jpg", "image_id": "272312", "caption": ["A dark colored airplane sitting on a tarmac ", "a small red and black airplane siting on an air field ", "a small air plane on a run way", "The small plane is black with red tips.", "A small airplane is parked on the pavement."], "ocr_tokens": ["SU"], "ocr_info": [{"word": "SU", "bounding_box": {"width": 0.037, "height": 0.0317, "top_left_x": 0.3352, "top_left_y": 0.5502}}], "image_width": 640, "image_height": 590}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [80, 319, 116, 360] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "RICE"}
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fine-grained text recognition en
|
COCO-Text
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{"image_width": 429, "image_height": 640, "bbox": [80, 319, 116, 360], "raw_data": {"coco_file_name": "COCO_train2014_000000513111.jpg", "image_id": "513111", "caption": ["A sign with a large hand with five dollars written on it.", "A sign with a hand print details the five different dishes you can get at this restaurant for $5. ", "There is a sign for Five different plates for six dollars.", "A sign for different plates of rice for a cafe.", "A sign reading a five for five deal has been changed with a marker to now read four for six."], "ocr_tokens": ["RICE", "LAMB", "RICE", "CHICKEN", "FALAFEL", "PLATES", "DIFFRENT", "FIVE", "RICE", "FISH", "6.", "Each", "CE", "RICE"], "ocr_info": [{"word": "RICE", "bounding_box": {"width": 0.0821, "height": 0.065, "top_left_x": 0.1886, "top_left_y": 0.4987}}, {"word": "LAMB", "bounding_box": {"width": 0.0783, "height": 0.0738, "top_left_x": 0.2501, "top_left_y": 0.5575}}, {"word": "RICE", "bounding_box": {"width": 0.0503, "height": 0.0663, "top_left_x": 0.3191, "top_left_y": 0.4125}}, {"word": "CHICKEN", "bounding_box": {"width": 0.0802, "height": 0.1163, "top_left_x": 0.3415, "top_left_y": 0.4787}}, {"word": "FALAFEL", "bounding_box": {"width": 0.0392, "height": 0.1113, "top_left_x": 0.4664, "top_left_y": 0.455}}, {"word": "PLATES", "bounding_box": {"width": 0.2266, "height": 0.2678, "top_left_x": 0.6294, "top_left_y": 0.272}}, {"word": "DIFFRENT", "bounding_box": {"width": 0.462, "height": 0.1356, "top_left_x": 0.1657, "top_left_y": 0.2097}}, {"word": "FIVE", "bounding_box": {"width": 0.1242, "height": 0.1745, "top_left_x": 0.0811, "top_left_y": 0.3339}}, {"word": "RICE", "bounding_box": {"width": 0.0643, "height": 0.0531, "top_left_x": 0.7284, "top_left_y": 0.6397}}, {"word": "FISH", "bounding_box": {"width": 0.0648, "height": 0.0516, "top_left_x": 0.6723, "top_left_y": 0.6816}}, {"word": "6.", "bounding_box": {"width": 0.2203, "height": 0.2523, "top_left_x": 0.3981, "top_left_y": 0.5895}}, {"word": "Each", "bounding_box": {"width": 0.0676, "height": 0.0234, "top_left_x": 0.5604, "top_left_y": 0.7239}}, {"word": "CE", "bounding_box": {"width": 0.0338, "height": 0.0544, "top_left_x": 0.5788, "top_left_y": 0.4275}}, {"word": "RICE", "bounding_box": {"width": 0.0329, "height": 0.0608, "top_left_x": 0.4613, "top_left_y": 0.3864}}], "image_width": 429, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [327, 207, 343, 218] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "275"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [327, 207, 343, 218], "raw_data": {"coco_file_name": "COCO_train2014_000000224601.jpg", "image_id": "224601", "caption": ["A street scene with multiple cars and a bus.", "Large yellow bus riding in the middle of a city street. ", "A public bus driving down a busy street. ", "A bus with four doors is making its way down the highway.", "A bus moves through traffic at the end of the day."], "ocr_tokens": ["275"], "ocr_info": [{"word": "275", "bounding_box": {"width": 0.025, "height": 0.0212, "top_left_x": 0.512, "top_left_y": 0.4333}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [356, 598, 416, 617] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "PREMIS"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 427, "image_height": 640, "bbox": [356, 598, 416, 617], "raw_data": {"coco_file_name": "COCO_train2014_000000222517.jpg", "image_id": "222517", "caption": ["A monument of some sort with latin writing on stone.", "a pair of skis leaning against a wall with an inscription on it", "A few skis lay against a concrete wall", "A pair of wooden cross country skis resting against concrete.", "APPEARS TO BE SOME OLD SKIS PROPPED UP AGAINST A STONE MEMORIAL"], "ocr_tokens": ["PREMIS", "HOSPITEM", "SUBLICIUM", "STRATUM", "SILICE", "DIU", "TEPPECOR", "AESTIMA", "PEDIBUS", "SIC", "TU", "ARCU", "VET", "NTEM", "A"], "ocr_info": [{"word": "PREMIS", "bounding_box": {"width": 0.1386, "height": 0.0289, "top_left_x": 0.8358, "top_left_y": 0.9356}}, {"word": "HOSPITEM", "bounding_box": {"width": 0.2119, "height": 0.0289, "top_left_x": 0.4595, "top_left_y": 0.8219}}, {"word": "SUBLICIUM", "bounding_box": {"width": 0.2178, "height": 0.0336, "top_left_x": 0.5829, "top_left_y": 0.8775}}, {"word": "STRATUM", "bounding_box": {"width": 0.1963, "height": 0.0327, "top_left_x": 0.5159, "top_left_y": 0.9119}}, {"word": "SILICE", "bounding_box": {"width": 0.1248, "height": 0.03, "top_left_x": 0.7279, "top_left_y": 0.9061}}, {"word": "DIU", "bounding_box": {"width": 0.0696, "height": 0.0272, "top_left_x": 0.8272, "top_left_y": 0.8742}}, {"word": "TEPPECOR", "bounding_box": {"width": 0.2244, "height": 0.0289, "top_left_x": 0.5625, "top_left_y": 0.9725}}, {"word": "AESTIMA", "bounding_box": {"width": 0.1831, "height": 0.0311, "top_left_x": 0.8152, "top_left_y": 0.9661}}, {"word": "PEDIBUS", "bounding_box": {"width": 0.1571, "height": 0.0347, "top_left_x": 0.6557, "top_left_y": 0.9386}}, {"word": "SIC", "bounding_box": {"width": 0.0607, "height": 0.0297, "top_left_x": 0.5756, "top_left_y": 0.9458}}, {"word": "TU", "bounding_box": {"width": 0.0564, "height": 0.0295, "top_left_x": 0.5094, "top_left_y": 0.9466}}, {"word": "ARCU", "bounding_box": {"width": 0.1215, "height": 0.0325, "top_left_x": 0.878, "top_left_y": 0.9017}}, {"word": "VET", "bounding_box": {"width": 0.0759, "height": 0.0269, "top_left_x": 0.9225, "top_left_y": 0.8705}}, {"word": "NTEM", "bounding_box": {"width": 0.1518, "height": 0.0289, "top_left_x": 0.4063, "top_left_y": 0.888}}, {"word": "A", "bounding_box": {"width": 0.0293, "height": 0.0283, "top_left_x": 0.3848, "top_left_y": 0.8256}}], "image_width": 427, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [107, 286, 179, 310] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "VAL"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [107, 286, 179, 310], "raw_data": {"coco_file_name": "COCO_train2014_000000004172.jpg", "image_id": "4172", "caption": ["Mid-air shot of men playing sports indoors in front of an audience.", "A group of men are on a court playing volleyball.", "A player in green is mid toss and leaping in the air.", "A man is in the air with a ball at a game.", "Several players with a ball in front of a crowd."], "ocr_tokens": ["VAL", "de", "MARNE", "Conseil", "ATB", "A", "AB", "TT", "GA", "4", "general", "WWW.lemarrane.", "16", "TUNIOIA"], "ocr_info": [{"word": "VAL", "bounding_box": {"width": 0.113, "height": 0.0578, "top_left_x": 0.1678, "top_left_y": 0.6703}}, {"word": "de", "bounding_box": {"width": 0.0598, "height": 0.0578, "top_left_x": 0.2884, "top_left_y": 0.6684}}, {"word": "MARNE", "bounding_box": {"width": 0.2073, "height": 0.066, "top_left_x": 0.2084, "top_left_y": 0.7438}}, {"word": "Conseil", "bounding_box": {"width": 0.0923, "height": 0.0361, "top_left_x": 0.2053, "top_left_y": 0.8323}}, {"word": "ATB", "bounding_box": {"width": 0.0366, "height": 0.0326, "top_left_x": 0.4061, "top_left_y": 0.4529}}, {"word": "A", "bounding_box": {"width": 0.0128, "height": 0.0201, "top_left_x": 0.0947, "top_left_y": 0.5489}}, {"word": "AB", "bounding_box": {"width": 0.0261, "height": 0.0382, "top_left_x": 0.0114, "top_left_y": 0.4979}}, {"word": "TT", "bounding_box": {"width": 0.0242, "height": 0.0269, "top_left_x": 0.415, "top_left_y": 0.5225}}, {"word": "GA", "bounding_box": {"width": 0.0219, "height": 0.019, "top_left_x": 0.3878, "top_left_y": 0.4991}}, {"word": "4", "bounding_box": {"width": 0.0197, "height": 0.0417, "top_left_x": 0.4208, "top_left_y": 0.4808}}, {"word": "general", "bounding_box": {"width": 0.1041, "height": 0.045, "top_left_x": 0.2995, "top_left_y": 0.8321}}, {"word": "WWW.lemarrane.", "bounding_box": {"width": 0.352, "height": 0.063, "top_left_x": 0.4527, "top_left_y": 0.7321}}, {"word": "16", "bounding_box": {"width": 0.0559, "height": 0.0913, "top_left_x": 0.8317, "top_left_y": 0.4173}}, {"word": "TUNIOIA", "bounding_box": {"width": 0.0709, "height": 0.0269, "top_left_x": 0.8267, "top_left_y": 0.3393}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [241, 76, 261, 85] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "MASSEY"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [241, 76, 261, 85], "raw_data": {"coco_file_name": "COCO_train2014_000000414202.jpg", "image_id": "414202", "caption": ["BUSY CITY STREET VERY COLORFUL WITH ALL THE VEHICLES", "A group of toy cars in a miniature toy city. ", "This seems to be a close up of a traffic model. ", "A truck that is sitting in the grass next to other vehicles.", "A parking lot is shown hosting a plethora of different cars and trucks"], "ocr_tokens": ["MASSEY", "1stPIX"], "ocr_info": [{"word": "MASSEY", "bounding_box": {"width": 0.0317, "height": 0.0185, "top_left_x": 0.3769, "top_left_y": 0.1594}}, {"word": "1stPIX", "bounding_box": {"width": 0.1161, "height": 0.035, "top_left_x": 0.0058, "top_left_y": 0.95}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [85, 299, 133, 316] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "LuAnn"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 393, "bbox": [85, 299, 133, 316], "raw_data": {"coco_file_name": "COCO_train2014_000000074429.jpg", "image_id": "74429", "caption": ["Three women and a girl on a dock near the water.", "Antique color photo of people relaxing in a marina", "An adorable little girl standing on a pier next to two other women.", "A boating dock with many boats and people on a pier.", "A group of people sitting on a dock with several boats around."], "ocr_tokens": ["LuAnn", "381"], "ocr_info": [{"word": "LuAnn", "bounding_box": {"width": 0.0742, "height": 0.044, "top_left_x": 0.1337, "top_left_y": 0.7621}}, {"word": "381", "bounding_box": {"width": 0.0236, "height": 0.0226, "top_left_x": 0.2097, "top_left_y": 0.7443}}], "image_width": 640, "image_height": 393}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [0, 109, 180, 234] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "AVENUE"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 343, "image_height": 500, "bbox": [0, 109, 180, 234], "raw_data": {"coco_file_name": "COCO_train2014_000000292081.jpg", "image_id": "292081", "caption": ["Three red streets signs on a pole next to a one way sign.", "A street sign that is on a corner ", "Some assorted street signs on a pole by a building.", "A number of signs on a street in front of a brick building.", "a pole with some street signs on it sit in front of a building "], "ocr_tokens": ["AVENUE", "AVENUE", "OF", "THE", "LADIES", "DISTRICT", "ONE", "WAY", "ST", "23", "W", "DISTRICT", "HISTORIC", "MILE", "LADIES", "AV", "6", "DISTRICT", "Instoric", "MILE", "LADIES"], "ocr_info": [{"word": "AVENUE", "bounding_box": {"width": 0.5245, "height": 0.2488, "top_left_x": 0.002, "top_left_y": 0.2194}}, {"word": "AVENUE", "bounding_box": {"width": 0.212, "height": 0.1098, "top_left_x": 0.0723, "top_left_y": 0.1828}}, {"word": "OF", "bounding_box": {"width": 0.0641, "height": 0.0548, "top_left_x": 0.2991, "top_left_y": 0.2594}}, {"word": "THE", "bounding_box": {"width": 0.0915, "height": 0.0742, "top_left_x": 0.3781, "top_left_y": 0.284}}, {"word": "LADIES", "bounding_box": {"width": 0.0956, "height": 0.0568, "top_left_x": 0.0481, "top_left_y": 0.1346}}, {"word": "DISTRICT", "bounding_box": {"width": 0.0974, "height": 0.0506, "top_left_x": 0.3845, "top_left_y": 0.258}}, {"word": "ONE", "bounding_box": {"width": 0.1309, "height": 0.1392, "top_left_x": 0.6586, "top_left_y": 0.1042}}, {"word": "WAY", "bounding_box": {"width": 0.1108, "height": 0.1266, "top_left_x": 0.8466, "top_left_y": 0.203}}, {"word": "ST", "bounding_box": {"width": 0.1429, "height": 0.1456, "top_left_x": 0.4347, "top_left_y": 0.7666}}, {"word": "23", "bounding_box": {"width": 0.1531, "height": 0.1408, "top_left_x": 0.2122, "top_left_y": 0.7886}}, {"word": "W", "bounding_box": {"width": 0.1111, "height": 0.123, "top_left_x": 0.0659, "top_left_y": 0.8178}}, {"word": "DISTRICT", "bounding_box": {"width": 0.1303, "height": 0.0336, "top_left_x": 0.3942, "top_left_y": 0.742}}, {"word": "HISTORIC", "bounding_box": {"width": 0.1245, "height": 0.0322, "top_left_x": 0.2609, "top_left_y": 0.7616}}, {"word": "MILE", "bounding_box": {"width": 0.063, "height": 0.0232, "top_left_x": 0.1892, "top_left_y": 0.7796}}, {"word": "LADIES", "bounding_box": {"width": 0.0921, "height": 0.0306, "top_left_x": 0.0875, "top_left_y": 0.7892}}, {"word": "AV", "bounding_box": {"width": 0.1627, "height": 0.1532, "top_left_x": 0.4615, "top_left_y": 0.5206}}, {"word": "6", "bounding_box": {"width": 0.1026, "height": 0.1376, "top_left_x": 0.3026, "top_left_y": 0.4688}}, {"word": "DISTRICT", "bounding_box": {"width": 0.0915, "height": 0.0512, "top_left_x": 0.5125, "top_left_y": 0.4964}}, {"word": "Instoric", "bounding_box": {"width": 0.0974, "height": 0.0584, "top_left_x": 0.416, "top_left_y": 0.4566}}, {"word": "MILE", "bounding_box": {"width": 0.049, "height": 0.04, "top_left_x": 0.3647, "top_left_y": 0.4402}}, {"word": "LADIES", "bounding_box": {"width": 0.0767, "height": 0.0492, "top_left_x": 0.2828, "top_left_y": 0.41}}], "image_width": 343, "image_height": 500}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [113, 95, 214, 156] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "DAY"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 378, "image_height": 283, "bbox": [113, 95, 214, 156], "raw_data": {"coco_file_name": "COCO_train2014_000000265207.jpg", "image_id": "265207", "caption": ["A very small street sign in the dark night.", "a street pole with a sign sitting on top", "A street sign is visible against a dark sky background.", "a close up of a street sign with a sky background ", "a street sign with glow in the dark letters "], "ocr_tokens": ["DAY", "LN"], "ocr_info": [{"word": "DAY", "bounding_box": {"width": 0.2653, "height": 0.2155, "top_left_x": 0.3011, "top_left_y": 0.3375}}, {"word": "LN", "bounding_box": {"width": 0.0868, "height": 0.1117, "top_left_x": 0.5815, "top_left_y": 0.3922}}], "image_width": 378, "image_height": 283}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [334, 210, 387, 243] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "BU G"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [334, 210, 387, 243], "raw_data": {"coco_file_name": "COCO_train2014_000000123523.jpg", "image_id": "123523", "caption": ["a large cow in a field covered in snow ", "There is a burger king on the side of the road. ", "A statue of a cow standing on top of a pile of snow.", "a big cow statue standing next to some power lines ", "A fake large cow that is standing in the snow."], "ocr_tokens": ["BU G"], "ocr_info": [{"word": "BU G", "bounding_box": {"width": 0.0836, "height": 0.0683, "top_left_x": 0.5219, "top_left_y": 0.4381}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [543, 400, 625, 411] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "KickerClub.com"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [543, 400, 625, 411], "raw_data": {"coco_file_name": "COCO_train2014_000000204491.jpg", "image_id": "204491", "caption": ["There is a young man skateboarding in midair in an indoor skate park and another young adult is observing.", "A person flying in the air mid jump performing a stunt on a skateboard.", "A man in mid air performing a skateboarding trick.", "A skateboarder doing a trick in mid air.", "A guy on a skateboard in midair doing a trick."], "ocr_tokens": ["KickerClub.com"], "ocr_info": [{"word": "KickerClub.com", "bounding_box": {"width": 0.1273, "height": 0.0251, "top_left_x": 0.8497, "top_left_y": 0.9389}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [137, 303, 153, 314] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "20"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 426, "image_height": 640, "bbox": [137, 303, 153, 314], "raw_data": {"coco_file_name": "COCO_train2014_000000309948.jpg", "image_id": "309948", "caption": ["a hand holding a cellphone with a red case", "A woman shows off the iPhone case she made out of red tape.", "Smart phone sitting in a red case being hand held by someone.", "A music player sits snugly in a case made from tape.", "A person holding a smartphone in a red case."], "ocr_tokens": ["20"], "ocr_info": [{"word": "20", "bounding_box": {"width": 0.038, "height": 0.0163, "top_left_x": 0.3216, "top_left_y": 0.4748}}], "image_width": 426, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [45, 18, 89, 37] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "BEN"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 458, "bbox": [45, 18, 89, 37], "raw_data": {"coco_file_name": "COCO_train2014_000000224759.jpg", "image_id": "224759", "caption": ["A basket filled with lots of different produce.", "A basket full of different kinds of vegetables. ", "A basket of fresh vegetables overflows with carrots and broccoli.", "A very pretty woven basket filled with fresh assorted veggies.", "A basket with carrots, broccoli, and garlic in it."], "ocr_tokens": ["BEN", "SPARK"], "ocr_info": [{"word": "BEN", "bounding_box": {"width": 0.0683, "height": 0.0417, "top_left_x": 0.0713, "top_left_y": 0.04}}, {"word": "SPARK", "bounding_box": {"width": 0.0981, "height": 0.0544, "top_left_x": 0.0639, "top_left_y": 0.0718}}], "image_width": 640, "image_height": 458}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [430, 163, 503, 198] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "USJ946"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [430, 163, 503, 198], "raw_data": {"coco_file_name": "COCO_train2014_000000106688.jpg", "image_id": "106688", "caption": ["two motorcycles parked near each other near a fence", "Two motorcycles are parked side-by-side near another car. ", "A row of motorcycles is line up near a fence", "Two motorcycles parked on an empty asphalt street", "Two antique motorcycles in nice shape parked near a fence."], "ocr_tokens": ["USJ946", "SSU394", "105"], "ocr_info": [{"word": "USJ946", "bounding_box": {"width": 0.1153, "height": 0.074, "top_left_x": 0.6719, "top_left_y": 0.3402}}, {"word": "SSU394", "bounding_box": {"width": 0.0802, "height": 0.0469, "top_left_x": 0.8366, "top_left_y": 0.2415}}, {"word": "105", "bounding_box": {"width": 0.0197, "height": 0.0219, "top_left_x": 0.7853, "top_left_y": 0.0569}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [1, 134, 212, 187] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "boodles"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 426, "bbox": [1, 134, 212, 187], "raw_data": {"coco_file_name": "COCO_train2014_000000043629.jpg", "image_id": "43629", "caption": ["A tennis player dressed in white playing tennis.", "A man swinging a tennis racket on a tennis court.", "Tennis player in motion extending to hit a tennis ball. ", "A man returning a tennis shot with a referee looking on. ", "A tennis player running to hit a ball."], "ocr_tokens": ["boodles", "KT", "ACE", "GR", "4"], "ocr_info": [{"word": "boodles", "bounding_box": {"width": 0.33, "height": 0.1246, "top_left_x": 0.002, "top_left_y": 0.3153}}, {"word": "KT", "bounding_box": {"width": 0.025, "height": 0.0254, "top_left_x": 0.9541, "top_left_y": 0.9418}}, {"word": "ACE", "bounding_box": {"width": 0.032, "height": 0.03, "top_left_x": 0.943, "top_left_y": 0.1575}}, {"word": "GR", "bounding_box": {"width": 0.0231, "height": 0.027, "top_left_x": 0.9759, "top_left_y": 0.1545}}, {"word": "4", "bounding_box": {"width": 0.0075, "height": 0.0171, "top_left_x": 0.455, "top_left_y": 0.0263}}], "image_width": 640, "image_height": 426}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [364, 229, 454, 327] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "SE"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 428, "bbox": [364, 229, 454, 327], "raw_data": {"coco_file_name": "COCO_train2014_000000024497.jpg", "image_id": "24497", "caption": ["Cat behind a fallen street sign on a car.", "a cute cat standing by a street sign sitting on the back of a rusty blue truck", "a small cat is sitting near a green sign", "a truck with some appliances inside the back of it ", "a cat that is sitting down on a old car"], "ocr_tokens": ["SE", "145", "ST", "56", "AV", "SE"], "ocr_info": [{"word": "SE", "bounding_box": {"width": 0.1414, "height": 0.2299, "top_left_x": 0.5691, "top_left_y": 0.5364}}, {"word": "145", "bounding_box": {"width": 0.172, "height": 0.2603, "top_left_x": 0.7078, "top_left_y": 0.379}}, {"word": "ST", "bounding_box": {"width": 0.125, "height": 0.2287, "top_left_x": 0.8767, "top_left_y": 0.2638}}, {"word": "56", "bounding_box": {"width": 0.0975, "height": 0.1701, "top_left_x": 0.8055, "top_left_y": 0.6565}}, {"word": "AV", "bounding_box": {"width": 0.0856, "height": 0.1624, "top_left_x": 0.9167, "top_left_y": 0.6965}}, {"word": "SE", "bounding_box": {"width": 0.067, "height": 0.1033, "top_left_x": 0.7375, "top_left_y": 0.6776}}], "image_width": 640, "image_height": 428}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [308, 186, 352, 209] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "POLICE"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 488, "bbox": [308, 186, 352, 209], "raw_data": {"coco_file_name": "COCO_train2014_000000320566.jpg", "image_id": "320566", "caption": ["A cop riding a police motorcycle down a busy street.", "A police man riding a motorcycle through an intersection.", "A police officer on a motorcycle rounds a corner.", "Someone in a helmet and green jacket rides a police motorcycle on a street.", "Policeman on a motorcycle making a turn on a city street."], "ocr_tokens": ["POLICE"], "ocr_info": [{"word": "POLICE", "bounding_box": {"width": 0.0677, "height": 0.0459, "top_left_x": 0.4823, "top_left_y": 0.3824}}], "image_width": 640, "image_height": 488}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [26, 213, 53, 222] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "PAY"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 500, "image_height": 340, "bbox": [26, 213, 53, 222], "raw_data": {"coco_file_name": "COCO_train2014_000000337394.jpg", "image_id": "337394", "caption": ["A giraffe statue behind a fence near a flag.", "Playground with palm trees, shrubs, and giraffe statue.", "A large giraffe sculpture in a suburban area.", "A VERY TALL GIRAFFE AND A COUPLE OF PEOPLE NEAR IT", "a large miniature golf course with several cartoon statues. "], "ocr_tokens": ["PAY", "ONCE", "PLAY", "ALL", "DAY"], "ocr_info": [{"word": "PAY", "bounding_box": {"width": 0.0532, "height": 0.0274, "top_left_x": 0.0538, "top_left_y": 0.6282}}, {"word": "ONCE", "bounding_box": {"width": 0.0712, "height": 0.0279, "top_left_x": 0.1148, "top_left_y": 0.6321}}, {"word": "PLAY", "bounding_box": {"width": 0.0678, "height": 0.0285, "top_left_x": 0.0308, "top_left_y": 0.6547}}, {"word": "ALL", "bounding_box": {"width": 0.049, "height": 0.0297, "top_left_x": 0.1054, "top_left_y": 0.6556}}, {"word": "DAY", "bounding_box": {"width": 0.0544, "height": 0.0285, "top_left_x": 0.162, "top_left_y": 0.6603}}], "image_width": 500, "image_height": 340}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [61, 285, 89, 307] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "H"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [61, 285, 89, 307], "raw_data": {"coco_file_name": "COCO_train2014_000000429318.jpg", "image_id": "429318", "caption": ["Several empty wooden boxes stacked upon one another.", "many different wooden boxes suitcases stacked on top of each other", "Small boxes are stacked on top of and next to each other. ", "a bunch of items are piled on top of each other ", "a bunch of suitcases and boxes sitting around in piles "], "ocr_tokens": ["H", "a"], "ocr_info": [{"word": "H", "bounding_box": {"width": 0.0427, "height": 0.046, "top_left_x": 0.0964, "top_left_y": 0.5956}}, {"word": "a", "bounding_box": {"width": 0.0694, "height": 0.0917, "top_left_x": 0.8948, "top_left_y": -0.0015}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [-2, 283, 59, 303] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Winston"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 427, "image_height": 640, "bbox": [-2, 283, 59, 303], "raw_data": {"coco_file_name": "COCO_train2014_000000057157.jpg", "image_id": "57157", "caption": ["A man riding a skateboard down a street.", "Skateboarder standing on his board while texting on a phone. ", " The street skateboarder is stopping for a smoke break.", "a man smoking a cigarette on the street", "A skateboarder uses his cell phone while stopped on a street."], "ocr_tokens": ["Winston", "300", "6"], "ocr_info": [{"word": "Winston", "bounding_box": {"width": 0.1461, "height": 0.0312, "top_left_x": -0.0059, "top_left_y": 0.4425}}, {"word": "300", "bounding_box": {"width": 0.0314, "height": 0.0117, "top_left_x": 0.0023, "top_left_y": 0.4239}}, {"word": "6", "bounding_box": {"width": 0.0262, "height": 0.0272, "top_left_x": 0.0155, "top_left_y": 0.2917}}], "image_width": 427, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [188, 151, 217, 180] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Wheet"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 500, "image_height": 375, "bbox": [188, 151, 217, 180], "raw_data": {"coco_file_name": "COCO_train2014_000000208055.jpg", "image_id": "208055", "caption": ["A group of people gather around the man on a bike", "a field that has a lot of people in it", "the people are standing around a man on his bike", "Spectators gather around a uniformed cyclist sitting on his bicycle with head bowed.", "People are crowded around a man riding a bike."], "ocr_tokens": ["Wheet"], "ocr_info": [{"word": "Wheet", "bounding_box": {"width": 0.058, "height": 0.0773, "top_left_x": 0.377, "top_left_y": 0.4053}}], "image_width": 500, "image_height": 375}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [193, 104, 202, 111] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "SL"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [193, 104, 202, 111], "raw_data": {"coco_file_name": "COCO_train2014_000000484341.jpg", "image_id": "484341", "caption": ["A large brown cow sitting on grass in front of a tree.", "a big brown bull laying on grass near phone booth", "A brown bull laying in the grass next to a road.", "A brown bull is lying in the grass by a street. ", "A horned, brown, shaggy coy laying in grass."], "ocr_tokens": ["SL", "54FZ0"], "ocr_info": [{"word": "SL", "bounding_box": {"width": 0.0147, "height": 0.0156, "top_left_x": 0.3017, "top_left_y": 0.2171}}, {"word": "54FZ0", "bounding_box": {"width": 0.0459, "height": 0.02, "top_left_x": 0.3186, "top_left_y": 0.2115}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [489, 136, 528, 151] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "B4863"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 428, "bbox": [489, 136, 528, 151], "raw_data": {"coco_file_name": "COCO_train2014_000000013397.jpg", "image_id": "13397", "caption": ["a plane flying by close to the ground ", "a black and white photo of a flying airplane", "A vintage biplane flies low to the ground at an airport.", "A small plane traveling next to a field.", "An airplane taking off with the propeller going. "], "ocr_tokens": ["B4863"], "ocr_info": [{"word": "B4863", "bounding_box": {"width": 0.06, "height": 0.0355, "top_left_x": 0.765, "top_left_y": 0.3196}}], "image_width": 640, "image_height": 428}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [127, 114, 158, 131] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "O"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 359, "image_height": 640, "bbox": [127, 114, 158, 131], "raw_data": {"coco_file_name": "COCO_train2014_000000336734.jpg", "image_id": "336734", "caption": ["A snow boarder wearing a helmet and goggles.", "A skier in full helmet and goggles with limited visibility.", "A person standing on skis with no ski poles.", "A man skiing on a very snowy day.", "A skier is standing on the slope without any poles."], "ocr_tokens": ["O"], "ocr_info": [{"word": "O", "bounding_box": {"width": 0.0861, "height": 0.0267, "top_left_x": 0.3563, "top_left_y": 0.1786}}], "image_width": 359, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [359, 30, 381, 189] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Devious"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 400, "image_height": 500, "bbox": [359, 30, 381, 189], "raw_data": {"coco_file_name": "COCO_train2014_000000476463.jpg", "image_id": "476463", "caption": ["A woman looks like she is drunk and is talking on a cell phone.; ", "A young woman smiling and talking on her cellphone.", "Smiling woman with hair in her face talking on a cellphone.", "the woman is laughing at the person on the phune.", "A girl with hair in her face is talking on a cell phone."], "ocr_tokens": ["Devious", "Elements"], "ocr_info": [{"word": "Devious", "bounding_box": {"width": 0.0547, "height": 0.3174, "top_left_x": 0.8997, "top_left_y": 0.0612}}, {"word": "Elements", "bounding_box": {"width": 0.0547, "height": 0.3736, "top_left_x": 0.9045, "top_left_y": 0.395}}], "image_width": 400, "image_height": 500}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [342, 108, 371, 137] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "136"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [342, 108, 371, 137], "raw_data": {"coco_file_name": "COCO_train2014_000000052983.jpg", "image_id": "52983", "caption": ["A train that has people standing by the railing on the front.", "A bunch of people that are on the front of a train.", "Some people stand on and near a blue train near trees.", "A blue train with a few people on the front of it.", "Group of men standing on the front of a blue train together. "], "ocr_tokens": ["136", "57", "5"], "ocr_info": [{"word": "136", "bounding_box": {"width": 0.045, "height": 0.0674, "top_left_x": 0.5348, "top_left_y": 0.255}}, {"word": "57", "bounding_box": {"width": 0.032, "height": 0.0405, "top_left_x": 0.5237, "top_left_y": 0.363}}, {"word": "5", "bounding_box": {"width": 0.027, "height": 0.0241, "top_left_x": 0.5108, "top_left_y": 0.3344}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [308, 208, 326, 228] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "5"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 425, "bbox": [308, 208, 326, 228], "raw_data": {"coco_file_name": "COCO_train2014_000000348116.jpg", "image_id": "348116", "caption": ["A pair of skiers are racing down a slope.", "a couple of people are skiing down a hill", "people holding skiing poles on the snow playing", "two kids are skiing down a mountain slope", "A couple of men riding skis down a snow covered slope."], "ocr_tokens": ["5", "6", "Teck", "46", "Track"], "ocr_info": [{"word": "5", "bounding_box": {"width": 0.0281, "height": 0.0482, "top_left_x": 0.4819, "top_left_y": 0.4901}}, {"word": "6", "bounding_box": {"width": 0.0225, "height": 0.0447, "top_left_x": 0.498, "top_left_y": 0.4998}}, {"word": "Teck", "bounding_box": {"width": 0.0402, "height": 0.0452, "top_left_x": 0.4967, "top_left_y": 0.4593}}, {"word": "46", "bounding_box": {"width": 0.0245, "height": 0.0261, "top_left_x": 0.395, "top_left_y": 0.372}}, {"word": "Track", "bounding_box": {"width": 0.0286, "height": 0.0144, "top_left_x": 0.3986, "top_left_y": 0.3546}}], "image_width": 640, "image_height": 425}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [427, 368, 456, 377] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "VF 3071"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [427, 368, 456, 377], "raw_data": {"coco_file_name": "COCO_train2014_000000527134.jpg", "image_id": "527134", "caption": ["A yellow bus traveling down a road next to trees.", "A yellow bus drives down a narrow road.", "A yellow bus drives down the middle of the road.", "A lime green bus is going down the road.", "A yellow bus driving down a road in a wooded area. "], "ocr_tokens": ["VF 3071"], "ocr_info": [{"word": "VF 3071", "bounding_box": {"width": 0.0464, "height": 0.019, "top_left_x": 0.6672, "top_left_y": 0.7679}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [57, 75, 147, 177] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "SOUTHWEST"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 332, "bbox": [57, 75, 147, 177], "raw_data": {"coco_file_name": "COCO_train2014_000000502588.jpg", "image_id": "502588", "caption": ["A large blue jetliner sitting on top of a tarmac.", "The colorful airplane is sitting on the tarmac.", "A purple, red, and orange commercial airplane on a runway.", "a blue and red plane is at an airport", "A Southwest airplane is parked on the runway. "], "ocr_tokens": ["SOUTHWEST", "N7720A"], "ocr_info": [{"word": "SOUTHWEST", "bounding_box": {"width": 0.1417, "height": 0.3069, "top_left_x": 0.0891, "top_left_y": 0.2265}}, {"word": "N7720A", "bounding_box": {"width": 0.0425, "height": 0.0208, "top_left_x": 0.2892, "top_left_y": 0.5877}}], "image_width": 640, "image_height": 332}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [213, 271, 229, 276] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "SELF"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 427, "image_height": 640, "bbox": [213, 271, 229, 276], "raw_data": {"coco_file_name": "COCO_train2014_000000221787.jpg", "image_id": "221787", "caption": ["A few people wait on the sidewalk before crossing the street.", "Two men stand in front of a cross walk. ", "A couple of men standing near a crosswalk.", "A street scene with people crossing in a crosswalk.", "Pedestrians crossing a street in a large city"], "ocr_tokens": ["SELF", "PARK"], "ocr_info": [{"word": "SELF", "bounding_box": {"width": 0.0379, "height": 0.0084, "top_left_x": 0.5005, "top_left_y": 0.4241}}, {"word": "PARK", "bounding_box": {"width": 0.0454, "height": 0.0102, "top_left_x": 0.4953, "top_left_y": 0.4325}}], "image_width": 427, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [382, 265, 396, 278] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "SCK"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [382, 265, 396, 278], "raw_data": {"coco_file_name": "COCO_train2014_000000239559.jpg", "image_id": "239559", "caption": ["A silver truck parked next to another truck.", "Two trucks in a clearing parked in the grass.", "Two pickup trucks parked on grass in a wooded area.", "Two off road type pick up trucks parked in a grassy field.", "Two pickup trucks parked in the woods in a haze."], "ocr_tokens": ["SCK", "292"], "ocr_info": [{"word": "SCK", "bounding_box": {"width": 0.0217, "height": 0.0265, "top_left_x": 0.5972, "top_left_y": 0.5533}}, {"word": "292", "bounding_box": {"width": 0.023, "height": 0.0233, "top_left_x": 0.6248, "top_left_y": 0.559}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [19, 251, 68, 291] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Chee"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 480, "image_height": 640, "bbox": [19, 251, 68, 291], "raw_data": {"coco_file_name": "COCO_train2014_000000195903.jpg", "image_id": "195903", "caption": ["A man sitting in front of a sandwich on a plate.", "A man is staring at the remaining crumbs that accompany a sandwich.", "a man staring at a burger cut in half ", "A man staring hungrily at his sliced sandwich", "A man looking at a burger cut in half with wide eyes."], "ocr_tokens": ["Chee", "Puffs", "Puffy", "Wavy", "tz", "COMPOS", "CHIP", "lays", "100%", "Cheeto"], "ocr_info": [{"word": "Chee", "bounding_box": {"width": 0.1037, "height": 0.0623, "top_left_x": 0.04, "top_left_y": 0.3927}}, {"word": "Puffs", "bounding_box": {"width": 0.0502, "height": 0.0284, "top_left_x": 0.0908, "top_left_y": 0.4266}}, {"word": "Puffy", "bounding_box": {"width": 0.1015, "height": 0.0364, "top_left_x": 0.2487, "top_left_y": 0.3784}}, {"word": "Wavy", "bounding_box": {"width": 0.0821, "height": 0.0369, "top_left_x": 0.1915, "top_left_y": 0.1136}}, {"word": "tz", "bounding_box": {"width": 0.0481, "height": 0.0344, "top_left_x": -0.0013, "top_left_y": 0.0931}}, {"word": "COMPOS", "bounding_box": {"width": 0.1094, "height": 0.0331, "top_left_x": 0.0165, "top_left_y": 0.715}}, {"word": "CHIP", "bounding_box": {"width": 0.0467, "height": 0.0156, "top_left_x": 0.0069, "top_left_y": 0.7192}}, {"word": "lays", "bounding_box": {"width": 0.0642, "height": 0.0259, "top_left_x": 0.1894, "top_left_y": 0.6787}}, {"word": "100%", "bounding_box": {"width": 0.0965, "height": 0.0428, "top_left_x": -0.006, "top_left_y": 0.6781}}, {"word": "Cheeto", "bounding_box": {"width": 0.0917, "height": 0.0688, "top_left_x": 0.1596, "top_left_y": 0.3791}}], "image_width": 480, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [236, 157, 258, 183] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "OUT'"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [236, 157, 258, 183], "raw_data": {"coco_file_name": "COCO_train2014_000000190521.jpg", "image_id": "190521", "caption": ["A red double decker bus driving down a street.", "A BRIGHT RED DOUBLE DECKER BUS ON A PUBLIC STREET", "The red double decker bus is stopped in the road. ", "A double-decker bus driving on the streets in London.", "a red double decked bus full of people"], "ocr_tokens": ["OUT'", "NIGHT", "'BEST", "IS", "LONDON'S", "24"], "ocr_info": [{"word": "OUT'", "bounding_box": {"width": 0.0342, "height": 0.0616, "top_left_x": 0.3703, "top_left_y": 0.3686}}, {"word": "NIGHT", "bounding_box": {"width": 0.0445, "height": 0.0616, "top_left_x": 0.32, "top_left_y": 0.3766}}, {"word": "'BEST", "bounding_box": {"width": 0.0358, "height": 0.0564, "top_left_x": 0.2778, "top_left_y": 0.3895}}, {"word": "IS", "bounding_box": {"width": 0.0116, "height": 0.0485, "top_left_x": 0.195, "top_left_y": 0.4122}}, {"word": "LONDON'S", "bounding_box": {"width": 0.062, "height": 0.06, "top_left_x": 0.2094, "top_left_y": 0.3981}}, {"word": "24", "bounding_box": {"width": 0.0391, "height": 0.0527, "top_left_x": 0.7325, "top_left_y": 0.3836}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [465, 152, 508, 171] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "London"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [465, 152, 508, 171], "raw_data": {"coco_file_name": "COCO_train2014_000000310851.jpg", "image_id": "310851", "caption": ["Red buses with \"London Bridge\" in sign in front of buildings", "There are buses moving in traffic on a street.", "Buses line up at a stop in London.", "Two red busses on street next to buildings.", "Buses and car following a path down the street"], "ocr_tokens": ["London", "Bridge", "521", "Go"], "ocr_info": [{"word": "London", "bounding_box": {"width": 0.0667, "height": 0.0379, "top_left_x": 0.7278, "top_left_y": 0.3187}}, {"word": "Bridge", "bounding_box": {"width": 0.0591, "height": 0.0435, "top_left_x": 0.7931, "top_left_y": 0.3215}}, {"word": "521", "bounding_box": {"width": 0.0452, "height": 0.0435, "top_left_x": 0.8625, "top_left_y": 0.326}}, {"word": "Go", "bounding_box": {"width": 0.0333, "height": 0.0288, "top_left_x": 0.798, "top_left_y": 0.5677}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [279, 391, 330, 412] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "6031"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 612, "image_height": 612, "bbox": [279, 391, 330, 412], "raw_data": {"coco_file_name": "COCO_train2014_000000254778.jpg", "image_id": "254778", "caption": ["A train stopped at a platform at a station", "A train is shown sitting on the tracks.", "An old train going under an underpass near Newark International", "A silver train pulling into a station for pickup.", "Lone passenger train car next to a boarding area."], "ocr_tokens": ["6031", "NTRANS", "NEWARK", "INTERNA"], "ocr_info": [{"word": "6031", "bounding_box": {"width": 0.0827, "height": 0.0346, "top_left_x": 0.4572, "top_left_y": 0.64}}, {"word": "NTRANS", "bounding_box": {"width": 0.0892, "height": 0.0281, "top_left_x": 0.2441, "top_left_y": 0.5436}}, {"word": "NEWARK", "bounding_box": {"width": 0.34, "height": 0.0933, "top_left_x": 0.1417, "top_left_y": 0.0301}}, {"word": "INTERNA", "bounding_box": {"width": 0.4667, "height": 0.0766, "top_left_x": 0.5199, "top_left_y": 0.0007}}], "image_width": 612, "image_height": 612}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [501, 30, 538, 37] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "EXPRESSO"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 425, "bbox": [501, 30, 538, 37], "raw_data": {"coco_file_name": "COCO_train2014_000000580668.jpg", "image_id": "580668", "caption": ["Two people sit on some benches next to the street", "A couple of people on a bench on a street.", "An elderly man and a woman with a stroller sitting on opposite sides of a bench next to cars.", "Two strangers sitting opposite ends on a city street bench", "People sitting on a park bench near a busy street.\n"], "ocr_tokens": ["EXPRESSO", "SICAL", "P", "Rukie"], "ocr_info": [{"word": "EXPRESSO", "bounding_box": {"width": 0.0591, "height": 0.0167, "top_left_x": 0.783, "top_left_y": 0.0722}}, {"word": "SICAL", "bounding_box": {"width": 0.045, "height": 0.0209, "top_left_x": 0.953, "top_left_y": 0.0664}}, {"word": "P", "bounding_box": {"width": 0.03, "height": 0.0918, "top_left_x": 0.472, "top_left_y": -0.0014}}, {"word": "Rukie", "bounding_box": {"width": 0.0691, "height": 0.0421, "top_left_x": 0.445, "top_left_y": 0.5915}}], "image_width": 640, "image_height": 425}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [4, 530, 173, 615] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "BergHOFF"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 612, "image_height": 612, "bbox": [4, 530, 173, 615], "raw_data": {"coco_file_name": "COCO_train2014_000000175609.jpg", "image_id": "175609", "caption": ["A silver pan filled with pasta and broccoli.", "A big healthy bowl of broccoli and pasta.", "a silver pan on a stove with some noodles and broccoli", "A spinach and penne salad on a scale", "Pan of pasta and vegetables cooking on a stove."], "ocr_tokens": ["BergHOFF"], "ocr_info": [{"word": "BergHOFF", "bounding_box": {"width": 0.2765, "height": 0.1382, "top_left_x": 0.007, "top_left_y": 0.8668}}], "image_width": 612, "image_height": 612}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [458, 200, 470, 213] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "H"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 586, "bbox": [458, 200, 470, 213], "raw_data": {"coco_file_name": "COCO_train2014_000000470501.jpg", "image_id": "470501", "caption": ["man setting up baseball on a batting tee", "A young girl holding a base in front of a Tee ball set.", "A man placing a baseball on a tee for a child.", "Young girl practicing t-ball with coach outside in summer.", "A girl holding a baseball bat getting ready to swing"], "ocr_tokens": ["H"], "ocr_info": [{"word": "H", "bounding_box": {"width": 0.0191, "height": 0.022, "top_left_x": 0.7161, "top_left_y": 0.3425}}], "image_width": 640, "image_height": 586}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [391, 195, 452, 249] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Thyme"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 433, "bbox": [391, 195, 452, 249], "raw_data": {"coco_file_name": "COCO_train2014_000000126733.jpg", "image_id": "126733", "caption": ["a bowl of fruit with other fruit near by", "a close up of many fruits on a table ", "A bowl of cherries beside apples, bananas, and eggplants", "A white bowl filled with lots of cherries.", "A bowl of cherries on a table in front of different fruits."], "ocr_tokens": ["Thyme", "Olive", "parsley", "Rosemary", "Bay"], "ocr_info": [{"word": "Thyme", "bounding_box": {"width": 0.0959, "height": 0.124, "top_left_x": 0.6116, "top_left_y": 0.452}}, {"word": "Olive", "bounding_box": {"width": 0.0983, "height": 0.1141, "top_left_x": 0.1517, "top_left_y": 0.8758}}, {"word": "parsley", "bounding_box": {"width": 0.0839, "height": 0.1455, "top_left_x": 0.1344, "top_left_y": 0.5088}}, {"word": "Rosemary", "bounding_box": {"width": 0.1542, "height": 0.0758, "top_left_x": 0.3306, "top_left_y": 0.3926}}, {"word": "Bay", "bounding_box": {"width": 0.0488, "height": 0.0926, "top_left_x": 0.723, "top_left_y": 0.7143}}], "image_width": 640, "image_height": 433}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [188, 515, 200, 529] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "VI"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 480, "image_height": 640, "bbox": [188, 515, 200, 529], "raw_data": {"coco_file_name": "COCO_train2014_000000197853.jpg", "image_id": "197853", "caption": ["A building with a clock tower and a dome that has a weather vain.", "there is a cross compass on top of this building", "A clock is shown atop of a building", "A clock tower on top of a building with a wind indicator on top.", "Weather vane on top of a clock tower."], "ocr_tokens": ["VI", "VIII", "X", "III", "E", "N", "S"], "ocr_info": [{"word": "VI", "bounding_box": {"width": 0.024, "height": 0.0225, "top_left_x": 0.3935, "top_left_y": 0.8052}}, {"word": "VIII", "bounding_box": {"width": 0.0352, "height": 0.0287, "top_left_x": 0.3252, "top_left_y": 0.7858}}, {"word": "X", "bounding_box": {"width": 0.0321, "height": 0.0169, "top_left_x": 0.3267, "top_left_y": 0.747}}, {"word": "III", "bounding_box": {"width": 0.0298, "height": 0.0114, "top_left_x": 0.4569, "top_left_y": 0.7603}}, {"word": "E", "bounding_box": {"width": 0.0177, "height": 0.0338, "top_left_x": 0.5062, "top_left_y": 0.1919}}, {"word": "N", "bounding_box": {"width": 0.0435, "height": 0.0302, "top_left_x": 0.5383, "top_left_y": 0.2383}}, {"word": "S", "bounding_box": {"width": 0.0273, "height": 0.0259, "top_left_x": 0.3881, "top_left_y": 0.2178}}], "image_width": 480, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [435, 209, 443, 217] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "12"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [435, 209, 443, 217], "raw_data": {"coco_file_name": "COCO_train2014_000000387887.jpg", "image_id": "387887", "caption": ["A table with a clock, flowers in vases and an assortment of bottles, cups and dishes in front of a wall of Asian calligraphy and wall hangings.", "Walls covered with Chinese calligraphy surround a clock and shelf covered with a variety of dishes bottles and bowls", "A room with asian styled furnishings and a clock as the centerpiece ", "An Asian home has scrolls hung on the wall and flowers.", "a table with paper plates and flowers in a home"], "ocr_tokens": ["12", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11"], "ocr_info": [{"word": "12", "bounding_box": {"width": 0.0128, "height": 0.0173, "top_left_x": 0.6802, "top_left_y": 0.4363}}, {"word": "2", "bounding_box": {"width": 0.0105, "height": 0.0173, "top_left_x": 0.7142, "top_left_y": 0.4598}}, {"word": "3", "bounding_box": {"width": 0.0112, "height": 0.0179, "top_left_x": 0.7183, "top_left_y": 0.486}}, {"word": "4", "bounding_box": {"width": 0.0122, "height": 0.0181, "top_left_x": 0.7122, "top_left_y": 0.509}}, {"word": "5", "bounding_box": {"width": 0.0109, "height": 0.019, "top_left_x": 0.7, "top_left_y": 0.5269}}, {"word": "6", "bounding_box": {"width": 0.0138, "height": 0.0198, "top_left_x": 0.68, "top_left_y": 0.5331}}, {"word": "7", "bounding_box": {"width": 0.0116, "height": 0.0198, "top_left_x": 0.6614, "top_left_y": 0.5285}}, {"word": "8", "bounding_box": {"width": 0.0102, "height": 0.0202, "top_left_x": 0.6494, "top_left_y": 0.5083}}, {"word": "9", "bounding_box": {"width": 0.0111, "height": 0.0198, "top_left_x": 0.6434, "top_left_y": 0.4844}}, {"word": "10", "bounding_box": {"width": 0.0153, "height": 0.0163, "top_left_x": 0.6458, "top_left_y": 0.4615}}, {"word": "11", "bounding_box": {"width": 0.0109, "height": 0.0169, "top_left_x": 0.6623, "top_left_y": 0.4427}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [324, 55, 331, 61] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "12"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 433, "bbox": [324, 55, 331, 61], "raw_data": {"coco_file_name": "COCO_train2014_000000554982.jpg", "image_id": "554982", "caption": ["A living room with lots of furniture and a grandfather clock.", "A living room area with outdated furniture and a piano that has a vase of flowers on it.", "a room with a piano and a couch in it", "A living room has a grandfather clock in a corner.", "An old living room has an old couch, clock, and piano."], "ocr_tokens": ["12", "10"], "ocr_info": [{"word": "12", "bounding_box": {"width": 0.0106, "height": 0.015, "top_left_x": 0.5066, "top_left_y": 0.1279}}, {"word": "10", "bounding_box": {"width": 0.0128, "height": 0.0166, "top_left_x": 0.4872, "top_left_y": 0.1464}}], "image_width": 640, "image_height": 433}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [113, 158, 128, 168] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Town"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [113, 158, 128, 168], "raw_data": {"coco_file_name": "COCO_train2014_000000120952.jpg", "image_id": "120952", "caption": ["A bus that is sitting on the side of a street.", "A large bus is parked on the side of an empty street.", "A blue, white, red, orange, and pink passenger bus. ", "a large bus that is driving down the aroad", "a bus next to a road on the corner"], "ocr_tokens": ["Town", "Centre", "langney", "Hampden", "Pork", "Hospital", "Service", "in", "not", "I'm", "Sorry", "Eastbourne", "around", "route", "Your", "Loop", "The", "HHU", "GNI3", "The", "Loop", "3690", "Centre", "Town"], "ocr_info": [{"word": "Town", "bounding_box": {"width": 0.0225, "height": 0.0253, "top_left_x": 0.1778, "top_left_y": 0.3703}}, {"word": "Centre", "bounding_box": {"width": 0.0273, "height": 0.0272, "top_left_x": 0.2019, "top_left_y": 0.3649}}, {"word": "langney", "bounding_box": {"width": 0.0422, "height": 0.0333, "top_left_x": 0.2448, "top_left_y": 0.3564}}, {"word": "Hampden", "bounding_box": {"width": 0.0537, "height": 0.0333, "top_left_x": 0.3, "top_left_y": 0.3492}}, {"word": "Pork", "bounding_box": {"width": 0.0263, "height": 0.0349, "top_left_x": 0.3545, "top_left_y": 0.3384}}, {"word": "Hospital", "bounding_box": {"width": 0.0542, "height": 0.0433, "top_left_x": 0.3987, "top_left_y": 0.3283}}, {"word": "Service", "bounding_box": {"width": 0.05, "height": 0.0311, "top_left_x": 0.837, "top_left_y": 0.3578}}, {"word": "in", "bounding_box": {"width": 0.015, "height": 0.0281, "top_left_x": 0.817, "top_left_y": 0.3508}}, {"word": "not", "bounding_box": {"width": 0.0267, "height": 0.0281, "top_left_x": 0.7869, "top_left_y": 0.3478}}, {"word": "I'm", "bounding_box": {"width": 0.0241, "height": 0.0297, "top_left_x": 0.8516, "top_left_y": 0.3267}}, {"word": "Sorry", "bounding_box": {"width": 0.0439, "height": 0.0361, "top_left_x": 0.7945, "top_left_y": 0.3157}}, {"word": "Eastbourne", "bounding_box": {"width": 0.0556, "height": 0.0302, "top_left_x": 0.2584, "top_left_y": 0.6485}}, {"word": "around", "bounding_box": {"width": 0.0339, "height": 0.0225, "top_left_x": 0.2216, "top_left_y": 0.6466}}, {"word": "route", "bounding_box": {"width": 0.0214, "height": 0.0234, "top_left_x": 0.1969, "top_left_y": 0.6422}}, {"word": "Your", "bounding_box": {"width": 0.0195, "height": 0.023, "top_left_x": 0.1756, "top_left_y": 0.6386}}, {"word": "Loop", "bounding_box": {"width": 0.0698, "height": 0.0881, "top_left_x": 0.3353, "top_left_y": 0.6501}}, {"word": "The", "bounding_box": {"width": 0.0295, "height": 0.0363, "top_left_x": 0.3684, "top_left_y": 0.637}}, {"word": "HHU", "bounding_box": {"width": 0.0222, "height": 0.0187, "top_left_x": 0.862, "top_left_y": 0.8494}}, {"word": "GNI3", "bounding_box": {"width": 0.0236, "height": 0.0267, "top_left_x": 0.8366, "top_left_y": 0.8457}}, {"word": "The", "bounding_box": {"width": 0.0153, "height": 0.0145, "top_left_x": 0.8641, "top_left_y": 0.7227}}, {"word": "Loop", "bounding_box": {"width": 0.0317, "height": 0.0274, "top_left_x": 0.8472, "top_left_y": 0.7279}}, {"word": "3690", "bounding_box": {"width": 0.0338, "height": 0.0253, "top_left_x": 0.6175, "top_left_y": 0.3141}}, {"word": "Centre", "bounding_box": {"width": 0.0506, "height": 0.0377, "top_left_x": 0.5142, "top_left_y": 0.3141}}, {"word": "Town", "bounding_box": {"width": 0.0355, "height": 0.0281, "top_left_x": 0.4739, "top_left_y": 0.3269}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [359, 206, 414, 341] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "first"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [359, 206, 414, 341], "raw_data": {"coco_file_name": "COCO_train2014_000000185514.jpg", "image_id": "185514", "caption": ["A train station that is not underground marked \"first class\"", "People getting on and off at a train station.", "A train is pulled up to the passenger loading.", "a train in a station and a man walking on the platform", "A person walks on a platform next to a passenger train. "], "ocr_tokens": ["first", "class"], "ocr_info": [{"word": "first", "bounding_box": {"width": 0.0864, "height": 0.2812, "top_left_x": 0.562, "top_left_y": 0.4302}}, {"word": "class", "bounding_box": {"width": 0.0728, "height": 0.1479, "top_left_x": 0.6395, "top_left_y": 0.5465}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [452, 232, 475, 240] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Bears"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 500, "image_height": 375, "bbox": [452, 232, 475, 240], "raw_data": {"coco_file_name": "COCO_train2014_000000459118.jpg", "image_id": "459118", "caption": ["A computer desk with a laptop computer on it.", "Group of computers sitting on top of a computer desk. ", "Several laptops, a monitor and a keyboard sit on a white table.", "Two computer screens and two laptops are on a desk.", "Several laptops and monitors on a desk with a mouse and keyboard"], "ocr_tokens": ["Bears", "SAMSUNG"], "ocr_info": [{"word": "Bears", "bounding_box": {"width": 0.0452, "height": 0.0219, "top_left_x": 0.9054, "top_left_y": 0.6195}}, {"word": "SAMSUNG", "bounding_box": {"width": 0.062, "height": 0.0301, "top_left_x": 0.8508, "top_left_y": 0.7048}}], "image_width": 500, "image_height": 375}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [381, 160, 437, 173] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "LiberiyLink"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [381, 160, 437, 173], "raw_data": {"coco_file_name": "COCO_train2014_000000280898.jpg", "image_id": "280898", "caption": ["A white bus pulling up to a bus stop.", "A city bus driving slowly near a sidewalk.", "A large bus taking off while people are walking away from it .", "A bus has stopped at a bus stop.", "A city bus dropping off passengers at a corner."], "ocr_tokens": ["LiberiyLink", "28", "Living", "Legend", "JK22033"], "ocr_info": [{"word": "LiberiyLink", "bounding_box": {"width": 0.0863, "height": 0.0295, "top_left_x": 0.5966, "top_left_y": 0.3759}}, {"word": "28", "bounding_box": {"width": 0.0225, "height": 0.0468, "top_left_x": 0.6961, "top_left_y": 0.382}}, {"word": "Living", "bounding_box": {"width": 0.0406, "height": 0.0225, "top_left_x": 0.5936, "top_left_y": 0.4028}}, {"word": "Legend", "bounding_box": {"width": 0.0498, "height": 0.0251, "top_left_x": 0.6347, "top_left_y": 0.4037}}, {"word": "JK22033", "bounding_box": {"width": 0.0411, "height": 0.0241, "top_left_x": 0.7039, "top_left_y": 0.8016}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [274, 163, 294, 173] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "tt"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 376, "image_height": 500, "bbox": [274, 163, 294, 173], "raw_data": {"coco_file_name": "COCO_train2014_000000201192.jpg", "image_id": "201192", "caption": ["A table that has a laptop and a plate of tomatoes on it.", "A laptop, remote and two tomatoes on a table with a television screen on the wall above.", "a plate with a knife two tomatoes and a yellow laptop", "A wall mounted television behind a desk with a laptop on it.", "The computer, notebook, and food sit on the table underneath the television screen."], "ocr_tokens": ["tt"], "ocr_info": [{"word": "tt", "bounding_box": {"width": 0.0524, "height": 0.0202, "top_left_x": 0.7303, "top_left_y": 0.3276}}], "image_width": 376, "image_height": 500}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [447, 178, 559, 187] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Ascott"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 424, "bbox": [447, 178, 559, 187], "raw_data": {"coco_file_name": "COCO_train2014_000000269152.jpg", "image_id": "269152", "caption": ["A man riding a wave on top of a surfboard.", "A surfer on a surfboard flying over the crest of a wave.", "Surfer hitting wave on ocean with yellow sky", "The man is surfing the waves in the water. ", "A photo of a man surfing in the ocean."], "ocr_tokens": ["Ascott", "c"], "ocr_info": [{"word": "Ascott", "bounding_box": {"width": 0.1753, "height": 0.0205, "top_left_x": 0.6995, "top_left_y": 0.4217}}, {"word": "c", "bounding_box": {"width": 0.0161, "height": 0.0243, "top_left_x": 0.898, "top_left_y": 0.4186}}], "image_width": 640, "image_height": 424}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [236, 290, 285, 324] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "INTENSELY"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 500, "image_height": 375, "bbox": [236, 290, 285, 324], "raw_data": {"coco_file_name": "COCO_train2014_000000574635.jpg", "image_id": "574635", "caption": ["there is a bag of open chips and a half eaten sandwich", "A sandwich with lettuce, a bag of chips and a drink.", "A lunch with a small sub sandwich, chips, and a soda.", "a close up of a sandwich and a bag of chips", "A menu, half sandwich, potato chips and drink. "], "ocr_tokens": ["INTENSELY", "DIFFERENT", "KETTLE", "COOKED", "4948", "A948", "Made", "Sandwiches", "SANDWICHES", "FRANKLIN'S", "POTATO", "BAR-BQUE"], "ocr_info": [{"word": "INTENSELY", "bounding_box": {"width": 0.099, "height": 0.0904, "top_left_x": 0.4722, "top_left_y": 0.7755}}, {"word": "DIFFERENT", "bounding_box": {"width": 0.1194, "height": 0.1104, "top_left_x": 0.567, "top_left_y": 0.8427}}, {"word": "KETTLE", "bounding_box": {"width": 0.088, "height": 0.0864, "top_left_x": 0.453, "top_left_y": 0.808}}, {"word": "COOKED", "bounding_box": {"width": 0.1384, "height": 0.1243, "top_left_x": 0.5346, "top_left_y": 0.872}}, {"word": "4948", "bounding_box": {"width": 0.092, "height": 0.0563, "top_left_x": 0.1758, "top_left_y": 0.9437}}, {"word": "A948", "bounding_box": {"width": 0.0538, "height": 0.0456, "top_left_x": 0.1712, "top_left_y": 0.9413}}, {"word": "Made", "bounding_box": {"width": 0.037, "height": 0.0256, "top_left_x": 0.1364, "top_left_y": 0.9275}}, {"word": "Sandwiches", "bounding_box": {"width": 0.0752, "height": 0.0549, "top_left_x": 0.1092, "top_left_y": 0.8904}}, {"word": "SANDWICHES", "bounding_box": {"width": 0.1366, "height": 0.0648, "top_left_x": 0.0174, "top_left_y": 0.6597}}, {"word": "FRANKLIN'S", "bounding_box": {"width": 0.1602, "height": 0.0539, "top_left_x": 0.0314, "top_left_y": 0.6381}}, {"word": "POTATO", "bounding_box": {"width": 0.1124, "height": 0.1096, "top_left_x": 0.4488, "top_left_y": 0.8443}}, {"word": "BAR-BQUE", "bounding_box": {"width": 0.309, "height": 0.2483, "top_left_x": 0.4882, "top_left_y": 0.5997}}], "image_width": 500, "image_height": 375}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [193, 158, 228, 217] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "AirEuropa"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [193, 158, 228, 217], "raw_data": {"coco_file_name": "COCO_train2014_000000286101.jpg", "image_id": "286101", "caption": ["An airport yard with a plane parked with a pulling machine by it.", "Planes are outside on the tarmac waiting to be prepared for flight.", "Plane parked at gates and on the tarmac at an airport.", "An airliner is sitting on the tarmac on a cloudy day.", "a large air plane on a run way"], "ocr_tokens": ["AirEuropa", "AirEuropa", "Cook", "3"], "ocr_info": [{"word": "AirEuropa", "bounding_box": {"width": 0.0548, "height": 0.1229, "top_left_x": 0.3023, "top_left_y": 0.3304}}, {"word": "AirEuropa", "bounding_box": {"width": 0.067, "height": 0.0277, "top_left_x": 0.58, "top_left_y": 0.4744}}, {"word": "Cook", "bounding_box": {"width": 0.0211, "height": 0.015, "top_left_x": 0.0683, "top_left_y": 0.3748}}, {"word": "3", "bounding_box": {"width": 0.0073, "height": 0.0177, "top_left_x": 0.7403, "top_left_y": 0.3094}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [220, 131, 249, 158] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "59"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [220, 131, 249, 158], "raw_data": {"coco_file_name": "COCO_train2014_000000514006.jpg", "image_id": "514006", "caption": ["A pink bus parked in front of a white bus in a city.", "People are getting on to a pink bus.", "A pink colored transit bus parked as passengers board it.", "A man getting on a pink bus in a city.", "A man getting onto a pink bus at a bus stop."], "ocr_tokens": ["59", "ONWARDS", "Caliander", "12:56", "2013", "07", "O g", "Norbhill"], "ocr_info": [{"word": "59", "bounding_box": {"width": 0.0441, "height": 0.056, "top_left_x": 0.345, "top_left_y": 0.2733}}, {"word": "ONWARDS", "bounding_box": {"width": 0.07, "height": 0.0294, "top_left_x": 0.2659, "top_left_y": 0.2733}}, {"word": "Caliander", "bounding_box": {"width": 0.09, "height": 0.0252, "top_left_x": 0.235, "top_left_y": 0.2988}}, {"word": "12:56", "bounding_box": {"width": 0.0608, "height": 0.0223, "top_left_x": 0.8781, "top_left_y": 0.9062}}, {"word": "2013", "bounding_box": {"width": 0.0473, "height": 0.0231, "top_left_x": 0.8152, "top_left_y": 0.9062}}, {"word": "07", "bounding_box": {"width": 0.0238, "height": 0.0223, "top_left_x": 0.7769, "top_left_y": 0.9062}}, {"word": "O g", "bounding_box": {"width": 0.0238, "height": 0.0231, "top_left_x": 0.7381, "top_left_y": 0.9054}}, {"word": "Norbhill", "bounding_box": {"width": 0.0677, "height": 0.0331, "top_left_x": 0.2256, "top_left_y": 0.624}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [395, 204, 413, 217] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "56022"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 424, "bbox": [395, 204, 413, 217], "raw_data": {"coco_file_name": "COCO_train2014_000000226702.jpg", "image_id": "226702", "caption": ["a train on a train track with trees in the background", "A yellow and blue train engine traveling down tracks.", "The train is going down the railroad tracks. ", "The blue locomotive has no other cars on it.", "The engine of a train on some railroad tracks."], "ocr_tokens": ["56022"], "ocr_info": [{"word": "56022", "bounding_box": {"width": 0.028, "height": 0.029, "top_left_x": 0.6181, "top_left_y": 0.4828}}], "image_width": 640, "image_height": 424}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [470, 144, 487, 168] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "a"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 512, "bbox": [470, 144, 487, 168], "raw_data": {"coco_file_name": "COCO_train2014_000000523691.jpg", "image_id": "523691", "caption": ["A green fire hydrant with a small pink hoodie hanging off it. ", "a fire hydrant with a piece of clothing on top of it ", "A pink sweat shirt hanging over a green fire hydrant. ", "A fire hydrant with a towel on it.", "A pink sweater hanging on a green fire hydrant."], "ocr_tokens": ["a"], "ocr_info": [{"word": "a", "bounding_box": {"width": 0.0278, "height": 0.0451, "top_left_x": 0.7344, "top_left_y": 0.2832}}], "image_width": 640, "image_height": 512}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [423, 108, 480, 134] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "PAB"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 480, "image_height": 640, "bbox": [423, 108, 480, 134], "raw_data": {"coco_file_name": "COCO_train2014_000000114500.jpg", "image_id": "114500", "caption": ["Two parking meters on a sidewalk near a car. ", "Two parking meters are side by side on the street", "A car parked on the side of a street next to a parking meter.", "This picture shows two parking meters with a car in the background.", "A car is parked next to a parking meter"], "ocr_tokens": ["PAB", "54206", "PARK", "604-909-7275", "PHONE", "BY", "PAY", "52672", "08", "22", "b4"], "ocr_info": [{"word": "PAB", "bounding_box": {"width": 0.1179, "height": 0.0408, "top_left_x": 0.8829, "top_left_y": 0.1694}}, {"word": "54206", "bounding_box": {"width": 0.0462, "height": 0.0208, "top_left_x": 0.2548, "top_left_y": 0.5825}}, {"word": "PARK", "bounding_box": {"width": 0.049, "height": 0.0209, "top_left_x": 0.4337, "top_left_y": 0.6827}}, {"word": "604-909-7275", "bounding_box": {"width": 0.1283, "height": 0.0409, "top_left_x": 0.3515, "top_left_y": 0.6472}}, {"word": "PHONE", "bounding_box": {"width": 0.0642, "height": 0.0269, "top_left_x": 0.4131, "top_left_y": 0.6417}}, {"word": "BY", "bounding_box": {"width": 0.0231, "height": 0.0172, "top_left_x": 0.3852, "top_left_y": 0.6355}}, {"word": "PAY", "bounding_box": {"width": 0.0333, "height": 0.0195, "top_left_x": 0.3496, "top_left_y": 0.6272}}, {"word": "52672", "bounding_box": {"width": 0.071, "height": 0.032, "top_left_x": 0.51, "top_left_y": 0.6305}}, {"word": "08", "bounding_box": {"width": 0.0281, "height": 0.0191, "top_left_x": 0.7454, "top_left_y": 0.4458}}, {"word": "22", "bounding_box": {"width": 0.0288, "height": 0.0195, "top_left_x": 0.71, "top_left_y": 0.4508}}, {"word": "b4", "bounding_box": {"width": 0.0306, "height": 0.0192, "top_left_x": 0.6719, "top_left_y": 0.4567}}], "image_width": 480, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [610, 204, 625, 252] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "HERAP"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 360, "bbox": [610, 204, 625, 252], "raw_data": {"coco_file_name": "COCO_train2014_000000141557.jpg", "image_id": "141557", "caption": ["A child reading a book next to a dog that's lying on the ground.", "Man reading a children's book with a dog laying on a person's lap.", "a boy reading a book to a therapy dog ", "A young man reading a book to a dog sitting next to him.", "A man is reading a book while another is holding a dog."], "ocr_tokens": ["HERAP", "OG"], "ocr_info": [{"word": "HERAP", "bounding_box": {"width": 0.0236, "height": 0.1331, "top_left_x": 0.9542, "top_left_y": 0.5694}}, {"word": "OG", "bounding_box": {"width": 0.0191, "height": 0.0761, "top_left_x": 0.9767, "top_left_y": 0.6036}}], "image_width": 640, "image_height": 360}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [115, 231, 149, 248] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "ride"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 500, "image_height": 332, "bbox": [115, 231, 149, 248], "raw_data": {"coco_file_name": "COCO_train2014_000000513359.jpg", "image_id": "513359", "caption": ["People sliding down a snow covered hill on snowboards.", "A bunch of people skiing and snowboarding on a hill.", "A snowboarder going down the slope as three other boarders watch.", "People are skiing on a snowy white mountain.", "Some skiers in action on a snowy hill."], "ocr_tokens": ["ride"], "ocr_info": [{"word": "ride", "bounding_box": {"width": 0.067, "height": 0.0515, "top_left_x": 0.2312, "top_left_y": 0.6964}}], "image_width": 500, "image_height": 332}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [398, 197, 419, 209] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "THE"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 478, "image_height": 640, "bbox": [398, 197, 419, 209], "raw_data": {"coco_file_name": "COCO_train2014_000000482913.jpg", "image_id": "482913", "caption": ["A man eating a slice of pizza from a paper plate.", "an image of a man eating a slice of pizza", "This is an image of a man eating a slice of pizza.", "A man biting into a slice of pizza with cheese", "An older man takes a bite of a slice of pizza."], "ocr_tokens": ["THE", "CLUBHOUS"], "ocr_info": [{"word": "THE", "bounding_box": {"width": 0.0431, "height": 0.0181, "top_left_x": 0.8337, "top_left_y": 0.3086}}, {"word": "CLUBHOUS", "bounding_box": {"width": 0.1209, "height": 0.0206, "top_left_x": 0.8795, "top_left_y": 0.3081}}], "image_width": 478, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [425, 302, 440, 314] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "445"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [425, 302, 440, 314], "raw_data": {"coco_file_name": "COCO_train2014_000000581196.jpg", "image_id": "581196", "caption": ["A passenger train pulling into a station platform.", "A train is parked at the station awaiting its next group.", "The train is posted at a train station.", "A train on the tracks with a little bit of graffiti. ", "A passenger train parked at a train depot."], "ocr_tokens": ["445", "SHON", "9"], "ocr_info": [{"word": "445", "bounding_box": {"width": 0.0233, "height": 0.0276, "top_left_x": 0.6647, "top_left_y": 0.7087}}, {"word": "SHON", "bounding_box": {"width": 0.0486, "height": 0.0859, "top_left_x": 0.5398, "top_left_y": 0.6721}}, {"word": "9", "bounding_box": {"width": 0.0108, "height": 0.0211, "top_left_x": 0.9567, "top_left_y": 0.277}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [589, 399, 622, 413] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Barber"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 426, "bbox": [589, 399, 622, 413], "raw_data": {"coco_file_name": "COCO_train2014_000000382745.jpg", "image_id": "382745", "caption": ["Pizza with five large red peppers evenly spaced", "A cheesy pizza with red peppers and olives.", "The top of a pizza with olives, meet, cheese and tomatoes.", "A baked pizza sits ready to eat, with tomato, olive, and ham topping.", "View of what could possibly be a pizza with colorful vegetables as toppings."], "ocr_tokens": ["Barber"], "ocr_info": [{"word": "Barber", "bounding_box": {"width": 0.0512, "height": 0.0326, "top_left_x": 0.9209, "top_left_y": 0.9383}}], "image_width": 640, "image_height": 426}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [403, 88, 521, 126] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "AMERICAN"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 448, "bbox": [403, 88, 521, 126], "raw_data": {"coco_file_name": "COCO_train2014_000000398175.jpg", "image_id": "398175", "caption": ["Black male speaking at a center for american progress event", "a man that is standing in front of a mike", "a man stands at a podium and gives a speech", "A man is staring to the side with a blue backdrop behind him.", "A man in a three piece suit giving a speech."], "ocr_tokens": ["AMERICAN", "AMERICAN"], "ocr_info": [{"word": "AMERICAN", "bounding_box": {"width": 0.1841, "height": 0.0844, "top_left_x": 0.6302, "top_left_y": 0.1984}}, {"word": "AMERICAN", "bounding_box": {"width": 0.183, "height": 0.0701, "top_left_x": 0.6462, "top_left_y": 0.767}}], "image_width": 640, "image_height": 448}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [163, 251, 205, 271] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "ZLP"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [163, 251, 205, 271], "raw_data": {"coco_file_name": "COCO_train2014_000000432467.jpg", "image_id": "432467", "caption": ["A couple of cats sitting on a motor bike.", "The cat is laying on the motorcycle seat.", "Two cats laying down on a motor scooter", "Two cats laying down on top of a scooter. ", "A moped parked outside has two cats laying on it."], "ocr_tokens": ["ZLP", "NB"], "ocr_info": [{"word": "ZLP", "bounding_box": {"width": 0.0656, "height": 0.0423, "top_left_x": 0.2552, "top_left_y": 0.5235}}, {"word": "NB", "bounding_box": {"width": 0.0222, "height": 0.0206, "top_left_x": 0.6761, "top_left_y": 0.1156}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [324, 221, 451, 235] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "SKYTEAM"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [324, 221, 451, 235], "raw_data": {"coco_file_name": "COCO_train2014_000000032116.jpg", "image_id": "32116", "caption": ["A Skyteam airplane sits on a snowy runway.", "An Aeroflot jet sits on the tarmac with some scattered snow.", "A smaller jet passenger airplane with a man at the nose inspecting it.", "A silver and blue jet airliner on runway next to a person.", "a large white plane is on the runway"], "ocr_tokens": ["SKYTEAM", "AEROFLOT"], "ocr_info": [{"word": "SKYTEAM", "bounding_box": {"width": 0.1989, "height": 0.0296, "top_left_x": 0.5073, "top_left_y": 0.4615}}, {"word": "AEROFLOT", "bounding_box": {"width": 0.0992, "height": 0.0165, "top_left_x": 0.5686, "top_left_y": 0.5337}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [138, 239, 154, 256] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "R"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 427, "image_height": 640, "bbox": [138, 239, 154, 256], "raw_data": {"coco_file_name": "COCO_train2014_000000036373.jpg", "image_id": "36373", "caption": ["A BOY IS PLAYING THE BASE BALL BALL", "A young baseball player crouch over with his glove toward the incoming ball.", "A boy with a red had lowers his baseball mitt toward a ball that hovers in the air.", "A boy squats to catch a baseball in motion.", "A young boy catching a baseball with a catchers mitt."], "ocr_tokens": ["R"], "ocr_info": [{"word": "R", "bounding_box": {"width": 0.0375, "height": 0.0266, "top_left_x": 0.3244, "top_left_y": 0.3737}}], "image_width": 427, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [282, 140, 306, 161] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "9"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 360, "bbox": [282, 140, 306, 161], "raw_data": {"coco_file_name": "COCO_train2014_000000123444.jpg", "image_id": "123444", "caption": ["A man standing next to home base holding a baseball bat.", "a batter a catcher and the ump playing a base ball game", "some players are on a baseball field playing a game", "A professional baseball player standing a home plate during a game.", "A batter is standing beside the home plate at a baseball game."], "ocr_tokens": ["9", "9"], "ocr_info": [{"word": "9", "bounding_box": {"width": 0.0375, "height": 0.0578, "top_left_x": 0.4412, "top_left_y": 0.3911}}, {"word": "9", "bounding_box": {"width": 0.015, "height": 0.0333, "top_left_x": 0.4688, "top_left_y": 0.4133}}], "image_width": 640, "image_height": 360}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [353, 214, 394, 233] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "WITH"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 426, "image_height": 640, "bbox": [353, 214, 394, 233], "raw_data": {"coco_file_name": "COCO_train2014_000000434328.jpg", "image_id": "434328", "caption": ["A box filled with oranges next to a box of lemons.", "Two boxes of fruits oranges and pear kept in shop.", "Fruit in boxes are outside next to a chalkboard sign. ", "some boxes of oranges lemons and a sign", "A crate of oranges and lemons outside of a restaurant."], "ocr_tokens": ["WITH", "and", "NUTS", "meet", "ehicken", "mute", "fruit", "SWEETCRE", "salad", "r", "e", "Wi"], "ocr_info": [{"word": "WITH", "bounding_box": {"width": 0.0962, "height": 0.0284, "top_left_x": 0.8303, "top_left_y": 0.3358}}, {"word": "and", "bounding_box": {"width": 0.1326, "height": 0.0331, "top_left_x": 0.8214, "top_left_y": 0.3986}}, {"word": "NUTS", "bounding_box": {"width": 0.1371, "height": 0.0364, "top_left_x": 0.7636, "top_left_y": 0.4237}}, {"word": "meet", "bounding_box": {"width": 0.161, "height": 0.0489, "top_left_x": 0.7643, "top_left_y": 0.1012}}, {"word": "ehicken", "bounding_box": {"width": 0.1793, "height": 0.0678, "top_left_x": 0.7561, "top_left_y": 0.1452}}, {"word": "mute", "bounding_box": {"width": 0.1176, "height": 0.0447, "top_left_x": 0.8815, "top_left_y": 0.3595}}, {"word": "fruit", "bounding_box": {"width": 0.1756, "height": 0.0495, "top_left_x": 0.6986, "top_left_y": 0.3391}}, {"word": "SWEETCRE", "bounding_box": {"width": 0.2746, "height": 0.0611, "top_left_x": 0.7228, "top_left_y": 0.2816}}, {"word": "salad", "bounding_box": {"width": 0.1577, "height": 0.0605, "top_left_x": 0.843, "top_left_y": 0.2183}}, {"word": "r", "bounding_box": {"width": 0.0308, "height": 0.0286, "top_left_x": 0.9681, "top_left_y": 0.1875}}, {"word": "e", "bounding_box": {"width": 0.0552, "height": 0.0314, "top_left_x": 0.9453, "top_left_y": 0.1313}}, {"word": "Wi", "bounding_box": {"width": 0.1005, "height": 0.0447, "top_left_x": 0.8991, "top_left_y": 0.0722}}], "image_width": 426, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [376, 210, 408, 223] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "RESENVEO"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 479, "bbox": [376, 210, 408, 223], "raw_data": {"coco_file_name": "COCO_train2014_000000419232.jpg", "image_id": "419232", "caption": ["A crowd of kids sitting at a table eating pizza.", "Many small children eat pizza at a restaurant.", "A group of children sit at a table with pizza and drinks.", "A group of children seated at a long restaurant table, eating pizza.", "A group of children are eating pizza and drinking punch."], "ocr_tokens": ["RESENVEO"], "ocr_info": [{"word": "RESENVEO", "bounding_box": {"width": 0.0509, "height": 0.0263, "top_left_x": 0.588, "top_left_y": 0.4401}}], "image_width": 640, "image_height": 479}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [179, 267, 210, 283] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "KEEP"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 640, "bbox": [179, 267, 210, 283], "raw_data": {"coco_file_name": "COCO_train2014_000000185848.jpg", "image_id": "185848", "caption": ["A traffic sign denoting do not park across driveway.", "Traffic sign saying no parking here and keep driveway clear.", "A close up of signs, one with a line through a car, and one reading 'keep driveway clear'. ", "A street sign warning cars to keep clear of a driveway.", "A street sign advertising a no parking dictation on a street."], "ocr_tokens": ["KEEP", "DRIVEWAY", "CLEAR", "IN", "USA", "HOURS", "24", "COUNCIl", "ASHFIELD"], "ocr_info": [{"word": "KEEP", "bounding_box": {"width": 0.0489, "height": 0.0258, "top_left_x": 0.2797, "top_left_y": 0.4173}}, {"word": "DRIVEWAY", "bounding_box": {"width": 0.0953, "height": 0.0277, "top_left_x": 0.3381, "top_left_y": 0.4089}}, {"word": "CLEAR", "bounding_box": {"width": 0.0639, "height": 0.0266, "top_left_x": 0.3189, "top_left_y": 0.4408}}, {"word": "IN", "bounding_box": {"width": 0.015, "height": 0.0138, "top_left_x": 0.2858, "top_left_y": 0.4806}}, {"word": "USA", "bounding_box": {"width": 0.0259, "height": 0.0163, "top_left_x": 0.3092, "top_left_y": 0.4764}}, {"word": "HOURS", "bounding_box": {"width": 0.0502, "height": 0.0175, "top_left_x": 0.373, "top_left_y": 0.47}}, {"word": "24", "bounding_box": {"width": 0.0194, "height": 0.0147, "top_left_x": 0.3448, "top_left_y": 0.4738}}, {"word": "COUNCIl", "bounding_box": {"width": 0.0545, "height": 0.0122, "top_left_x": 0.3658, "top_left_y": 0.3895}}, {"word": "ASHFIELD", "bounding_box": {"width": 0.0595, "height": 0.0155, "top_left_x": 0.2992, "top_left_y": 0.3917}}], "image_width": 640, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [405, 152, 423, 177] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "IIT"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [405, 152, 423, 177], "raw_data": {"coco_file_name": "COCO_train2014_000000534195.jpg", "image_id": "534195", "caption": ["Lots of people ride bicycles and walk down this street", "A group of people are seen on bicycles and cars.", "A crowded city street filled with bicyclist and cars.", "Various cars and bicycles traveling through a busy street.", "a crowded street with bicycles and cars in india"], "ocr_tokens": ["IIT", "IIT-JEE"], "ocr_info": [{"word": "IIT", "bounding_box": {"width": 0.0294, "height": 0.051, "top_left_x": 0.633, "top_left_y": 0.3181}}, {"word": "IIT-JEE", "bounding_box": {"width": 0.0353, "height": 0.0177, "top_left_x": 0.5694, "top_left_y": 0.2292}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [150, 74, 178, 93] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "NO"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [150, 74, 178, 93], "raw_data": {"coco_file_name": "COCO_train2014_000000497123.jpg", "image_id": "497123", "caption": ["A sign stating no bottles or glass posting on a sidewalk.", "A street sign stating that no bottles are allowed ", "A sign saying no drinks allowed is hanging", "a street view looking at a sign outside multiple buildings", "A street sign directing visitors on the types of beverage containers allowed on the street."], "ocr_tokens": ["NO", "BOTTLES", "OR", "GLASS", "ALLOWED", "COMMERCIAL", "M.C.S", "20439", "ORDINANCE", "CONTAINERS", "IN", "PLASTIC", "BE", "MAY", "ALL", "DRINKS", "STREET", "ON"], "ocr_info": [{"word": "NO", "bounding_box": {"width": 0.0425, "height": 0.0452, "top_left_x": 0.2358, "top_left_y": 0.174}}, {"word": "BOTTLES", "bounding_box": {"width": 0.1289, "height": 0.0464, "top_left_x": 0.2914, "top_left_y": 0.1728}}, {"word": "OR", "bounding_box": {"width": 0.0398, "height": 0.0452, "top_left_x": 0.2569, "top_left_y": 0.2262}}, {"word": "GLASS", "bounding_box": {"width": 0.0973, "height": 0.0478, "top_left_x": 0.3092, "top_left_y": 0.2246}}, {"word": "ALLOWED", "bounding_box": {"width": 0.1403, "height": 0.0492, "top_left_x": 0.2633, "top_left_y": 0.2728}}, {"word": "COMMERCIAL", "bounding_box": {"width": 0.1009, "height": 0.0525, "top_left_x": 0.6525, "top_left_y": -0.0023}}, {"word": "M.C.S", "bounding_box": {"width": 0.04, "height": 0.0316, "top_left_x": 0.4016, "top_left_y": 0.5656}}, {"word": "20439", "bounding_box": {"width": 0.0459, "height": 0.0286, "top_left_x": 0.3475, "top_left_y": 0.5731}}, {"word": "ORDINANCE", "bounding_box": {"width": 0.082, "height": 0.0375, "top_left_x": 0.2475, "top_left_y": 0.5761}}, {"word": "CONTAINERS", "bounding_box": {"width": 0.15, "height": 0.0525, "top_left_x": 0.2684, "top_left_y": 0.5267}}, {"word": "IN", "bounding_box": {"width": 0.0311, "height": 0.033, "top_left_x": 0.2734, "top_left_y": 0.4981}}, {"word": "PLASTIC", "bounding_box": {"width": 0.0941, "height": 0.0375, "top_left_x": 0.3134, "top_left_y": 0.4892}}, {"word": "BE", "bounding_box": {"width": 0.033, "height": 0.0436, "top_left_x": 0.3545, "top_left_y": 0.4412}}, {"word": "MAY", "bounding_box": {"width": 0.052, "height": 0.0436, "top_left_x": 0.2945, "top_left_y": 0.4412}}, {"word": "ALL", "bounding_box": {"width": 0.045, "height": 0.0361, "top_left_x": 0.2684, "top_left_y": 0.4082}}, {"word": "DRINKS", "bounding_box": {"width": 0.0909, "height": 0.0389, "top_left_x": 0.3216, "top_left_y": 0.4023}}, {"word": "STREET", "bounding_box": {"width": 0.1069, "height": 0.0614, "top_left_x": 0.3066, "top_left_y": 0.3124}}, {"word": "ON", "bounding_box": {"width": 0.0409, "height": 0.045, "top_left_x": 0.2525, "top_left_y": 0.3319}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [300, 242, 334, 281] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "OH"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 480, "image_height": 640, "bbox": [300, 242, 334, 281], "raw_data": {"coco_file_name": "COCO_train2014_000000157356.jpg", "image_id": "157356", "caption": ["A woman in a pink skirt holding a game controller.", "a woman is standing in the middle of a room", "The girl is playing a video game in the room with two chairs. ", "The girl is playing a video game in the room.", "A young girl playing Wii in a living room."], "ocr_tokens": ["OH"], "ocr_info": [{"word": "OH", "bounding_box": {"width": 0.0706, "height": 0.0609, "top_left_x": 0.6258, "top_left_y": 0.3791}}], "image_width": 480, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [207, 82, 219, 101] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "I"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 375, "image_height": 500, "bbox": [207, 82, 219, 101], "raw_data": {"coco_file_name": "COCO_train2014_000000468912.jpg", "image_id": "468912", "caption": ["A tall brown clock tower on a clear day", "A clock tower with a statue in front of it.", "A close up of a stone building's clock tower.", "A clock tower with statures and windows around it.", "A picture of a clock and ornamental sculpture on a building. "], "ocr_tokens": ["I", "I", "A", "W", ".X."], "ocr_info": [{"word": "I", "bounding_box": {"width": 0.0328, "height": 0.039, "top_left_x": 0.5533, "top_left_y": 0.1648}}, {"word": "I", "bounding_box": {"width": 0.0539, "height": 0.0326, "top_left_x": 0.5776, "top_left_y": 0.1978}}, {"word": "A", "bounding_box": {"width": 0.0328, "height": 0.0418, "top_left_x": 0.5032, "top_left_y": 0.301}}, {"word": "W", "bounding_box": {"width": 0.0619, "height": 0.0476, "top_left_x": 0.404, "top_left_y": 0.2614}}, {"word": ".X.", "bounding_box": {"width": 0.052, "height": 0.0344, "top_left_x": 0.4139, "top_left_y": 0.1922}}], "image_width": 375, "image_height": 500}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [189, 283, 203, 294] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": " "}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 426, "image_height": 640, "bbox": [189, 283, 203, 294], "raw_data": {"coco_file_name": "COCO_train2014_000000506130.jpg", "image_id": "506130", "caption": ["A building with many people in front of it walking, sitting, or on skateboards.", "A skate boarder makes his way down a hill side.", "A man leans over as he skates down a road", "Someone skateboarding down a rode in front of a fancy building.", "A man riding a skateboard down a hill with a helmet on."], "ocr_tokens": [" "], "ocr_info": [{"word": " ", "bounding_box": {"width": 0.0326, "height": 0.0175, "top_left_x": 0.4451, "top_left_y": 0.4423}}], "image_width": 426, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [323, 111, 347, 118] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "GUND"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 500, "image_height": 333, "bbox": [323, 111, 347, 118], "raw_data": {"coco_file_name": "COCO_train2014_000000527073.jpg", "image_id": "527073", "caption": ["Red wagon full of brown stuffed toy bears.", "A red wagon with seven stuffed animal teddy bears sitting in the wagon.", "7 stuffed teddy bears sitting in a red wagon", "There are 7 teddy bears inside a red wagon", "Seven teddy bears sit in a red, plastic wagon."], "ocr_tokens": ["GUND"], "ocr_info": [{"word": "GUND", "bounding_box": {"width": 0.0478, "height": 0.0213, "top_left_x": 0.6476, "top_left_y": 0.3351}}], "image_width": 500, "image_height": 333}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [528, 118, 596, 132] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Refreshing"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [528, 118, 596, 132], "raw_data": {"coco_file_name": "COCO_train2014_000000038274.jpg", "image_id": "38274", "caption": ["Luggages and an instrument waiting at a bus stop", "A backpack, suitcase and guitar case at a bus stop.", "A guitar, a backpack, and a suitcase on the ground.", "A guitar case, a backpack, and a suitcase all placed next to each other.", "A guitar case, suitcase and a backpack sitting on the ground near a bench."], "ocr_tokens": ["Refreshing"], "ocr_info": [{"word": "Refreshing", "bounding_box": {"width": 0.1056, "height": 0.029, "top_left_x": 0.8262, "top_left_y": 0.2477}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [414, 21, 449, 31] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "2012"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [414, 21, 449, 31], "raw_data": {"coco_file_name": "COCO_train2014_000000560713.jpg", "image_id": "560713", "caption": ["Two men standing on a dock watching a boat.", "a small little boat with people looking at it", "A boat anchored at the bay in the sea waters", "A boat docked at a marina with two people on shore looking at it. ", "A boat parked next to a dock near two workers."], "ocr_tokens": ["2012", "Georg", "Peter", "Landsiedel", "9"], "ocr_info": [{"word": "2012", "bounding_box": {"width": 0.0541, "height": 0.0219, "top_left_x": 0.6481, "top_left_y": 0.044}}, {"word": "Georg", "bounding_box": {"width": 0.0647, "height": 0.0244, "top_left_x": 0.7094, "top_left_y": 0.0452}}, {"word": "Peter", "bounding_box": {"width": 0.0598, "height": 0.0219, "top_left_x": 0.7808, "top_left_y": 0.044}}, {"word": "Landsiedel", "bounding_box": {"width": 0.1158, "height": 0.0246, "top_left_x": 0.8464, "top_left_y": 0.0413}}, {"word": "9", "bounding_box": {"width": 0.0189, "height": 0.0577, "top_left_x": 0.7383, "top_left_y": 0.7706}}], "image_width": 640, "image_height": 480}}
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