image
imagewidth (px) 210
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stringlengths 208
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stringlengths 15
5.09k
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [39, 183, 98, 205] 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": 427, "bbox": [39, 183, 98, 205], "raw_data": {"coco_file_name": "COCO_train2014_000000106463.jpg", "image_id": "106463", "caption": ["A gang of motorcycle cops riding down a brick street.", "A couple of police officers in the middle of a street.", "A procession of police motorbikes down a crowd-lined narrow street in Europe", "Police motorcycles are lined up and coming down the street as a crowd watches.", "A line of police are riding motorcycles down the street."], "ocr_tokens": ["POLICE", "POLICE", "Colemans"], "ocr_info": [{"word": "POLICE", "bounding_box": {"width": 0.092, "height": 0.0525, "top_left_x": 0.0613, "top_left_y": 0.4295}}, {"word": "POLICE", "bounding_box": {"width": 0.0439, "height": 0.0143, "top_left_x": 0.4052, "top_left_y": 0.5225}}, {"word": "Colemans", "bounding_box": {"width": 0.0486, "height": 0.0197, "top_left_x": 0.4669, "top_left_y": 0.1152}}], "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 [228, 279, 274, 292] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "RESERVEO"}
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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": [228, 279, 274, 292], "raw_data": {"coco_file_name": "COCO_train2014_000000210845.jpg", "image_id": "210845", "caption": ["A group of children sit at a table with plates.", "The group of children are eating pizza together. ", "Several kids sitting around a table eating pizza", "A bunch of kids are eating pizza in a restaurant.", "A table full of kids eating at Chuckie Cheese."], "ocr_tokens": ["RESERVEO", "RESERVED", "ALL", "TAX"], "ocr_info": [{"word": "RESERVEO", "bounding_box": {"width": 0.0717, "height": 0.0273, "top_left_x": 0.3567, "top_left_y": 0.5841}}, {"word": "RESERVED", "bounding_box": {"width": 0.0419, "height": 0.015, "top_left_x": 0.5464, "top_left_y": 0.2689}}, {"word": "ALL", "bounding_box": {"width": 0.0761, "height": 0.1236, "top_left_x": 0.0119, "top_left_y": 0.7795}}, {"word": "TAX", "bounding_box": {"width": 0.06, "height": 0.1173, "top_left_x": 0.0367, "top_left_y": 0.8294}}], "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 [74, 155, 126, 164] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "TAMARIZ"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 424, "image_height": 640, "bbox": [74, 155, 126, 164], "raw_data": {"coco_file_name": "COCO_train2014_000000338693.jpg", "image_id": "338693", "caption": ["An empty side walk in front of several business on a city street.", "There are many signs on the buildings down this street.", "A city street and sidewalk that has various store signs attached to the fronts of the buildings, over the sidewalk area.", "A no left turn sign, a fire hydrant, a walk sign and a traffic light are at a corner.", "A lot of street signs on the side of the street"], "ocr_tokens": ["TAMARIZ", "DE", "CARGO", "SERVICIO", "MUDDLE", "RESTAURANT", "JERUSALEM", "282-7821", "SUNDAY", "PM", "6", "PM", "4", "RECORDS", "TAPES", "ARABIC", "IMPORTS", "EASTERN", "SAMIRAMIS", "ASOCIADOS", "Y", "VIAJES", "DE", "AGENCIA"], "ocr_info": [{"word": "TAMARIZ", "bounding_box": {"width": 0.1245, "height": 0.0147, "top_left_x": 0.175, "top_left_y": 0.2422}}, {"word": "DE", "bounding_box": {"width": 0.038, "height": 0.0183, "top_left_x": 0.3271, "top_left_y": 0.2647}}, {"word": "CARGO", "bounding_box": {"width": 0.1021, "height": 0.0217, "top_left_x": 0.3729, "top_left_y": 0.2647}}, {"word": "SERVICIO", "bounding_box": {"width": 0.1377, "height": 0.0191, "top_left_x": 0.1802, "top_left_y": 0.2639}}, {"word": "MUDDLE", "bounding_box": {"width": 0.0719, "height": 0.0166, "top_left_x": 0.2184, "top_left_y": 0.4036}}, {"word": "RESTAURANT", "bounding_box": {"width": 0.1479, "height": 0.0127, "top_left_x": 0.1314, "top_left_y": 0.5989}}, {"word": "JERUSALEM", "bounding_box": {"width": 0.1417, "height": 0.01, "top_left_x": 0.1566, "top_left_y": 0.5889}}, {"word": "282-7821", "bounding_box": {"width": 0.1432, "height": 0.0175, "top_left_x": 0.1111, "top_left_y": 0.5306}}, {"word": "SUNDAY", "bounding_box": {"width": 0.0592, "height": 0.01, "top_left_x": 0.6689, "top_left_y": 0.3944}}, {"word": "PM", "bounding_box": {"width": 0.0257, "height": 0.0127, "top_left_x": 0.7068, "top_left_y": 0.3712}}, {"word": "6", "bounding_box": {"width": 0.0182, "height": 0.0156, "top_left_x": 0.687, "top_left_y": 0.3688}}, {"word": "PM", "bounding_box": {"width": 0.0295, "height": 0.0152, "top_left_x": 0.6241, "top_left_y": 0.3708}}, {"word": "4", "bounding_box": {"width": 0.0165, "height": 0.0152, "top_left_x": 0.6052, "top_left_y": 0.3692}}, {"word": "RECORDS", "bounding_box": {"width": 0.0896, "height": 0.0236, "top_left_x": 0.216, "top_left_y": 0.4864}}, {"word": "TAPES", "bounding_box": {"width": 0.0637, "height": 0.0225, "top_left_x": 0.3163, "top_left_y": 0.4864}}, {"word": "ARABIC", "bounding_box": {"width": 0.1318, "height": 0.0131, "top_left_x": 0.2283, "top_left_y": 0.4713}}, {"word": "IMPORTS", "bounding_box": {"width": 0.1358, "height": 0.0186, "top_left_x": 0.229, "top_left_y": 0.4236}}, {"word": "EASTERN", "bounding_box": {"width": 0.0873, "height": 0.0181, "top_left_x": 0.2958, "top_left_y": 0.4055}}, {"word": "SAMIRAMIS", "bounding_box": {"width": 0.1736, "height": 0.0322, "top_left_x": 0.2108, "top_left_y": 0.3406}}, {"word": "ASOCIADOS", "bounding_box": {"width": 0.1571, "height": 0.0145, "top_left_x": 0.3231, "top_left_y": 0.2431}}, {"word": "Y", "bounding_box": {"width": 0.0191, "height": 0.012, "top_left_x": 0.3057, "top_left_y": 0.2431}}, {"word": "VIAJES", "bounding_box": {"width": 0.113, "height": 0.0366, "top_left_x": 0.3649, "top_left_y": 0.0372}}, {"word": "DE", "bounding_box": {"width": 0.0448, "height": 0.0277, "top_left_x": 0.3156, "top_left_y": 0.0361}}, {"word": "AGENCIA", "bounding_box": {"width": 0.138, "height": 0.0327, "top_left_x": 0.1731, "top_left_y": 0.0356}}], "image_width": 424, "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 [50, 297, 67, 304] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "TH"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 480, "image_height": 640, "bbox": [50, 297, 67, 304], "raw_data": {"coco_file_name": "COCO_train2014_000000002135.jpg", "image_id": "2135", "caption": ["Women hiding from the sun on a city bench", "Two people sitting on a bench under an umbrella.", "Two woman sitting beneath an umbrella to block the sun", "Older woman wearing sunglasses holding up green umbrella to keep sun away.", "Two women sitting at bench under an umbrella."], "ocr_tokens": ["TH"], "ocr_info": [{"word": "TH", "bounding_box": {"width": 0.0344, "height": 0.0111, "top_left_x": 0.106, "top_left_y": 0.4641}}], "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 [90, 356, 101, 366] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "72"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 427, "image_height": 640, "bbox": [90, 356, 101, 366], "raw_data": {"coco_file_name": "COCO_train2014_000000282329.jpg", "image_id": "282329", "caption": ["a person sitting at a bench with a luggage bag", "an old woman sitting cross legged on a bench with a truck in the back ground", "an old lady seated on the bench staring", "An elderly person with a bag sitting on a bench.", "A man sitting on top of a bench near a truck."], "ocr_tokens": ["72", "EU"], "ocr_info": [{"word": "72", "bounding_box": {"width": 0.0251, "height": 0.0156, "top_left_x": 0.2124, "top_left_y": 0.5569}}, {"word": "EU", "bounding_box": {"width": 0.077, "height": 0.0542, "top_left_x": 0.2056, "top_left_y": 0.5177}}], "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 [319, 115, 367, 131] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "COVER"}
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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": [319, 115, 367, 131], "raw_data": {"coco_file_name": "COCO_train2014_000000428006.jpg", "image_id": "428006", "caption": ["Airplane tray is down with a sandwich and two cups of drinks on top", "This airplane meal consists of a sandwich, fruit in a bag, ice tea, and water.", "A sandwich on a yellow napkin net to a cup of tea.", "A sandwich, coffee, and water on a Lufthansa flight.", "A sandwich and a cup of drink on a table."], "ocr_tokens": ["COVER", "Jede"], "ocr_info": [{"word": "COVER", "bounding_box": {"width": 0.075, "height": 0.0333, "top_left_x": 0.4991, "top_left_y": 0.2412}}, {"word": "Jede", "bounding_box": {"width": 0.033, "height": 0.015, "top_left_x": 0.7478, "top_left_y": 0.4612}}], "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, 331, 41, 360] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "t"}
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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": [-1, 331, 41, 360], "raw_data": {"coco_file_name": "COCO_train2014_000000190792.jpg", "image_id": "190792", "caption": ["A young child leaning over a tub filled with apples.", "A child stretching over the edge of a bin to reach for an apple.", "A small beach reaching for an apple in a crate.", "A child in a yellow jacket investigating apples in a bin.", "A child reaches in to a container of apples."], "ocr_tokens": ["t", "U.S.F.L"], "ocr_info": [{"word": "t", "bounding_box": {"width": 0.091, "height": 0.0467, "top_left_x": -0.004, "top_left_y": 0.5172}}, {"word": "U.S.F.L", "bounding_box": {"width": 0.0858, "height": 0.0731, "top_left_x": 0.0758, "top_left_y": 0.4392}}], "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 [9, 463, 28, 471] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Spain"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 640, "image_height": 481, "bbox": [9, 463, 28, 471], "raw_data": {"coco_file_name": "COCO_train2014_000000254204.jpg", "image_id": "254204", "caption": ["A group of sheep grazing on an expansive field", "there is a very large up hill empty field ", "The side of a hill covered in green grass with animals.", "A block of sheep grazing on a green hillside. ", "A herd of sheep on a grassy field."], "ocr_tokens": ["Spain", "taneous", "Bssque", "Country", "July", "2010"], "ocr_info": [{"word": "Spain", "bounding_box": {"width": 0.0298, "height": 0.017, "top_left_x": 0.015, "top_left_y": 0.9628}}, {"word": "taneous", "bounding_box": {"width": 0.0428, "height": 0.0133, "top_left_x": 0.0483, "top_left_y": 0.9651}}, {"word": "Bssque", "bounding_box": {"width": 0.0392, "height": 0.0148, "top_left_x": 0.0948, "top_left_y": 0.9647}}, {"word": "Country", "bounding_box": {"width": 0.0444, "height": 0.0175, "top_left_x": 0.1363, "top_left_y": 0.9632}}, {"word": "July", "bounding_box": {"width": 0.0209, "height": 0.0168, "top_left_x": 0.1913, "top_left_y": 0.9632}}, {"word": "2010", "bounding_box": {"width": 0.0306, "height": 0.0166, "top_left_x": 0.2131, "top_left_y": 0.962}}], "image_width": 640, "image_height": 481}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [550, 361, 632, 413] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "BOGGLE"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 640, "image_height": 472, "bbox": [550, 361, 632, 413], "raw_data": {"coco_file_name": "COCO_train2014_000000340102.jpg", "image_id": "340102", "caption": ["A woman kneeling on the floor using a food processor.", "This woman has a spatula in her hand while sitting on the floor.", "A woman with a pastry spatula next to a blender.", "A woman kneeling down on a floor in front of a food processor.", "A woman with a spatula using a Cuisinart on the floor."], "ocr_tokens": ["BOGGLE", "BOGGLE", "M", "ME"], "ocr_info": [{"word": "BOGGLE", "bounding_box": {"width": 0.128, "height": 0.1112, "top_left_x": 0.86, "top_left_y": 0.7657}}, {"word": "BOGGLE", "bounding_box": {"width": 0.0761, "height": 0.0801, "top_left_x": 0.8609, "top_left_y": 0.7956}}, {"word": "M", "bounding_box": {"width": 0.0294, "height": 0.0261, "top_left_x": 0.9338, "top_left_y": 0.7712}}, {"word": "ME", "bounding_box": {"width": 0.0448, "height": 0.0498, "top_left_x": 0.3366, "top_left_y": 0.3261}}], "image_width": 640, "image_height": 472}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [318, 364, 376, 378] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "B J.627YE"}
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fine-grained text recognition en
|
COCO-Text
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{"image_width": 640, "image_height": 477, "bbox": [318, 364, 376, 378], "raw_data": {"coco_file_name": "COCO_train2014_000000323695.jpg", "image_id": "323695", "caption": ["A highway with bumper to bumper traffic at sunrise", "A group of cars are stuck in traffic", "A city street filled with traffic lined with street lights.", "Cars are stopped in traffic as a man walks between the cars.", "Cars on the street waiting at a traffic light."], "ocr_tokens": ["B J.627YE"], "ocr_info": [{"word": "B J.627YE", "bounding_box": {"width": 0.09, "height": 0.0306, "top_left_x": 0.4983, "top_left_y": 0.7637}}], "image_width": 640, "image_height": 477}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [-2, -2, 14, 18] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "T"}
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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": [-2, -2, 14, 18], "raw_data": {"coco_file_name": "COCO_train2014_000000430889.jpg", "image_id": "430889", "caption": ["two laptops on a table with some picture showing", "a large monitor and a small laptop are on a desk", "Two laptops sit on top of a computer desk.", "A monitor, keyboard and laptop on a desk.", "a desk with both a laptop and computer on it "], "ocr_tokens": ["T"], "ocr_info": [{"word": "T", "bounding_box": {"width": 0.0266, "height": 0.0437, "top_left_x": -0.0034, "top_left_y": -0.0044}}], "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 [342, 81, 369, 89] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "SLOAME"}
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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": [342, 81, 369, 89], "raw_data": {"coco_file_name": "COCO_train2014_000000417303.jpg", "image_id": "417303", "caption": ["A street scene with people going in and out of the subway station.", "A group of people are coming out of a train station.", "many people are walking around and a building and some signs", "A busy street with people walking by a train station.", "A group of men and women walking across a wooden floor."], "ocr_tokens": ["SLOAME", "SOUARE", "STATION", "LOOK", "LEFT", "CAFE", "CURRENC", "CHANGE"], "ocr_info": [{"word": "SLOAME", "bounding_box": {"width": 0.0427, "height": 0.0163, "top_left_x": 0.5348, "top_left_y": 0.17}}, {"word": "SOUARE", "bounding_box": {"width": 0.0452, "height": 0.0173, "top_left_x": 0.5784, "top_left_y": 0.1673}}, {"word": "STATION", "bounding_box": {"width": 0.0478, "height": 0.0194, "top_left_x": 0.625, "top_left_y": 0.1652}}, {"word": "LOOK", "bounding_box": {"width": 0.0394, "height": 0.0212, "top_left_x": 0.2633, "top_left_y": 0.106}}, {"word": "LEFT", "bounding_box": {"width": 0.0355, "height": 0.021, "top_left_x": 0.2664, "top_left_y": 0.1254}}, {"word": "CAFE", "bounding_box": {"width": 0.0437, "height": 0.0269, "top_left_x": 0.0338, "top_left_y": 0.0502}}, {"word": "CURRENC", "bounding_box": {"width": 0.0828, "height": 0.0231, "top_left_x": 0.918, "top_left_y": 0.1627}}, {"word": "CHANGE", "bounding_box": {"width": 0.0163, "height": 0.1192, "top_left_x": 0.9233, "top_left_y": 0.2077}}], "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 [261, 311, 304, 327] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "XEROX"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 461, "image_height": 640, "bbox": [261, 311, 304, 327], "raw_data": {"coco_file_name": "COCO_train2014_000000146700.jpg", "image_id": "146700", "caption": ["A fan, suitcase, and boxes sitting in a closet. ", "The closet is full of objects including a fan, boxes, and a luggage bag.", "A closet with a fan, luggage and various boxes.", "A closet full of a variety of different stored items.", "The shelves hold a fan, luggage and boxes."], "ocr_tokens": ["XEROX", "Xerocopy", "Husky", "RECYCLED", "LECTEUR"], "ocr_info": [{"word": "XEROX", "bounding_box": {"width": 0.092, "height": 0.025, "top_left_x": 0.5681, "top_left_y": 0.4862}}, {"word": "Xerocopy", "bounding_box": {"width": 0.1492, "height": 0.0325, "top_left_x": 0.6774, "top_left_y": 0.4388}}, {"word": "Husky", "bounding_box": {"width": 0.1024, "height": 0.0325, "top_left_x": 0.5681, "top_left_y": 0.4425}}, {"word": "RECYCLED", "bounding_box": {"width": 0.118, "height": 0.0175, "top_left_x": 0.5698, "top_left_y": 0.4263}}, {"word": "LECTEUR", "bounding_box": {"width": 0.0252, "height": 0.0884, "top_left_x": 0.823, "top_left_y": 0.2875}}], "image_width": 461, "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 [569, 352, 593, 361] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "15-31 44"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 461, "bbox": [569, 352, 593, 361], "raw_data": {"coco_file_name": "COCO_train2014_000000108321.jpg", "image_id": "108321", "caption": ["A military lorry carrying officers on a road with cars next to it", "A truck full of troops riding down the highway.", "The soldiers are riding in the back of the truck. ", "A military vehicle on a highway with soldiers in the back.", "A vehicle is carrying a group of soldiers."], "ocr_tokens": ["15-31 44"], "ocr_info": [{"word": "15-31 44", "bounding_box": {"width": 0.0386, "height": 0.0176, "top_left_x": 0.8891, "top_left_y": 0.7655}}], "image_width": 640, "image_height": 461}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [25, 409, 113, 430] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "KINOMODE"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 465, "bbox": [25, 409, 113, 430], "raw_data": {"coco_file_name": "COCO_train2014_000000185166.jpg", "image_id": "185166", "caption": ["A white horse sitting inside of a stable.", "A friendly horse looking over its stall door..", "A white horse looking out from a stable", "A white horse is standing in a dark barn. ", "A horse is looking outside of his stall."], "ocr_tokens": ["KINOMODE", "R"], "ocr_info": [{"word": "KINOMODE", "bounding_box": {"width": 0.1366, "height": 0.0456, "top_left_x": 0.04, "top_left_y": 0.88}}, {"word": "R", "bounding_box": {"width": 0.0136, "height": 0.0194, "top_left_x": 0.1872, "top_left_y": 0.8856}}], "image_width": 640, "image_height": 465}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [284, 304, 350, 332] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "BIG"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 425, "image_height": 640, "bbox": [284, 304, 350, 332], "raw_data": {"coco_file_name": "COCO_train2014_000000560989.jpg", "image_id": "560989", "caption": ["A sign that reads Big Mamma's Burritoto's. on a street corner.", "Large black sign of a woman riding a donkey on the side of the building. ", "A sign outside a restaurant called Big Mamma's Burritos", "A sign hanging on a pole outside of a Mexican food diner.", "A restaurant sign hangs off the side of a large building."], "ocr_tokens": ["BIG", "MAMMA", "S", "BURRITOS", "FEST", "Saddle"], "ocr_info": [{"word": "BIG", "bounding_box": {"width": 0.1551, "height": 0.0428, "top_left_x": 0.6701, "top_left_y": 0.4763}}, {"word": "MAMMA", "bounding_box": {"width": 0.3633, "height": 0.0372, "top_left_x": 0.4367, "top_left_y": 0.5186}}, {"word": "S", "bounding_box": {"width": 0.0442, "height": 0.0381, "top_left_x": 0.8365, "top_left_y": 0.5131}}, {"word": "BURRITOS", "bounding_box": {"width": 0.3694, "height": 0.0256, "top_left_x": 0.4299, "top_left_y": 0.5558}}, {"word": "FEST", "bounding_box": {"width": 0.1125, "height": 0.0127, "top_left_x": 0.8772, "top_left_y": 0.9563}}, {"word": "Saddle", "bounding_box": {"width": 0.108, "height": 0.0216, "top_left_x": 0.6769, "top_left_y": 0.2466}}], "image_width": 425, "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 [245, 374, 268, 382] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "314,"}
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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": [245, 374, 268, 382], "raw_data": {"coco_file_name": "COCO_train2014_000000481292.jpg", "image_id": "481292", "caption": ["Two trains are on tracks at the station.", "Looking down at electric trains at a station", "A couple of trains traveling along train tracks.", "Two trains are traveling along the train tracks.", "two trains riding on the train tracks of a terminal"], "ocr_tokens": ["314,"], "ocr_info": [{"word": "314,", "bounding_box": {"width": 0.035, "height": 0.0183, "top_left_x": 0.3842, "top_left_y": 0.7796}}], "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 [83, 332, 136, 352] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "origin"}
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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": [83, 332, 136, 352], "raw_data": {"coco_file_name": "COCO_train2014_000000548452.jpg", "image_id": "548452", "caption": ["A pretty woman laying down on a bed in a white bathrobe.", "A woman reclines on her bed while reading several books", "A woman in a white bathrobe that is partially open reading a book.", "A woman in a bathrobe lying on a bed reading a book", "A woman laying in bed reading a book."], "ocr_tokens": ["origin", "SPECIES", "SKIES!", "DEATH ", "THE"], "ocr_info": [{"word": "origin", "bounding_box": {"width": 0.0823, "height": 0.0464, "top_left_x": 0.1311, "top_left_y": 0.7794}}, {"word": "SPECIES", "bounding_box": {"width": 0.0887, "height": 0.0457, "top_left_x": 0.2252, "top_left_y": 0.7698}}, {"word": "SKIES!", "bounding_box": {"width": 0.0652, "height": 0.0361, "top_left_x": 0.1431, "top_left_y": 0.8909}}, {"word": "DEATH ", "bounding_box": {"width": 0.0623, "height": 0.041, "top_left_x": 0.0555, "top_left_y": 0.8956}}, {"word": "THE", "bounding_box": {"width": 0.023, "height": 0.0145, "top_left_x": 0.1194, "top_left_y": 0.9138}}], "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 [497, 405, 549, 415] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "CARLYEBELLIS"}
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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": [497, 405, 549, 415], "raw_data": {"coco_file_name": "COCO_train2014_000000151300.jpg", "image_id": "151300", "caption": ["A man sitting on a blue wrought iron bench.", "A man sits on a blue-painted wrought iron bench with wood slats.", "A man sitting alone on a blue bench.", "A man sits on a bench by himself.", "A man sitting cross legged on a bench."], "ocr_tokens": ["CARLYEBELLIS", "COVENANRGRAFIX"], "ocr_info": [{"word": "CARLYEBELLIS", "bounding_box": {"width": 0.0809, "height": 0.0234, "top_left_x": 0.777, "top_left_y": 0.9508}}, {"word": "COVENANRGRAFIX", "bounding_box": {"width": 0.1116, "height": 0.0248, "top_left_x": 0.867, "top_left_y": 0.9494}}], "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 [73, 58, 83, 157] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "FISCHER"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 429, "bbox": [73, 58, 83, 157], "raw_data": {"coco_file_name": "COCO_train2014_000000273951.jpg", "image_id": "273951", "caption": ["people sitting together while holding onto skiis ", "Three smiling people with ski gear in a lift.", "Three people are standing next to each other with their ski equipment in hand.", "A group of people standing on a cable car holding sky equipment.", "three snow skiers in a tram going to the top of a mountain"], "ocr_tokens": ["FISCHER", "NOA", "FISHE"], "ocr_info": [{"word": "FISCHER", "bounding_box": {"width": 0.0153, "height": 0.2301, "top_left_x": 0.1156, "top_left_y": 0.1366}}, {"word": "NOA", "bounding_box": {"width": 0.0402, "height": 0.3263, "top_left_x": 0.3511, "top_left_y": 0.1604}}, {"word": "FISHE", "bounding_box": {"width": 0.0134, "height": 0.1065, "top_left_x": 0.1303, "top_left_y": 0.88}}], "image_width": 640, "image_height": 429}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [109, 258, 153, 295] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "le"}
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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": [109, 258, 153, 295], "raw_data": {"coco_file_name": "COCO_train2014_000000257951.jpg", "image_id": "257951", "caption": ["A man is working with his dog standing on a surfboard.", "A man and a dog stand out in the ocean.", "The surfer has a dog on his surfboard in the water. ", "This surfer has brought his dog along for the next wave.", "Man and dog on surfboard near beach area."], "ocr_tokens": ["le"], "ocr_info": [{"word": "le", "bounding_box": {"width": 0.0692, "height": 0.0879, "top_left_x": 0.1712, "top_left_y": 0.603}}], "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 [371, 118, 381, 130] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "6"}
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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": [371, 118, 381, 130], "raw_data": {"coco_file_name": "COCO_train2014_000000052943.jpg", "image_id": "52943", "caption": ["Grown men playing an indoor soccer game on turf.", "A man kicking a soccer ball on a field as others run by.", "A man is playing soccer during a match. ", "some people playing soccer while a crowd watches them ", "An individual is taken in this very picture. \n"], "ocr_tokens": ["6"], "ocr_info": [{"word": "6", "bounding_box": {"width": 0.0158, "height": 0.0235, "top_left_x": 0.5802, "top_left_y": 0.2475}}], "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 [418, 218, 500, 370] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "7"}
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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": [418, 218, 500, 370], "raw_data": {"coco_file_name": "COCO_train2014_000000295940.jpg", "image_id": "295940", "caption": ["A woman holding a baby beside an object painted with the number seven.", "A woman holding a baby has a frisbee.", "A woman holding a child with a frisbee at marker seven.", "there is a woman holding a baby they are both smiling", "A woman with a child holding a frisbee."], "ocr_tokens": ["7"], "ocr_info": [{"word": "7", "bounding_box": {"width": 0.1284, "height": 0.357, "top_left_x": 0.6539, "top_left_y": 0.5134}}], "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 [115, 51, 126, 58] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "TXT"}
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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": [115, 51, 126, 58], "raw_data": {"coco_file_name": "COCO_train2014_000000106438.jpg", "image_id": "106438", "caption": ["One person holding purple cell phone next to person with orange cell phone.", "Two people that are playing a video game.", "Two people holding up smart devices in colorful cases.", "Two cell phones next to each other with application activated", "Two people hold their phones together side by side."], "ocr_tokens": ["TXT", "MESSAGE", "20", "Symbals", "Options", "SEND", "you", "ICO", "MESSAGE"], "ocr_info": [{"word": "TXT", "bounding_box": {"width": 0.018, "height": 0.0177, "top_left_x": 0.1802, "top_left_y": 0.1383}}, {"word": "MESSAGE", "bounding_box": {"width": 0.0494, "height": 0.0193, "top_left_x": 0.1992, "top_left_y": 0.1362}}, {"word": "20", "bounding_box": {"width": 0.0134, "height": 0.0153, "top_left_x": 0.1006, "top_left_y": 0.1611}}, {"word": "Symbals", "bounding_box": {"width": 0.0414, "height": 0.0172, "top_left_x": 0.1173, "top_left_y": 0.3059}}, {"word": "Options", "bounding_box": {"width": 0.0372, "height": 0.0196, "top_left_x": 0.2764, "top_left_y": 0.3078}}, {"word": "SEND", "bounding_box": {"width": 0.0261, "height": 0.0161, "top_left_x": 0.722, "top_left_y": 0.3802}}, {"word": "you", "bounding_box": {"width": 0.018, "height": 0.0206, "top_left_x": 0.6645, "top_left_y": 0.3188}}, {"word": "ICO", "bounding_box": {"width": 0.0161, "height": 0.0155, "top_left_x": 0.6561, "top_left_y": 0.2137}}, {"word": "MESSAGE", "bounding_box": {"width": 0.0455, "height": 0.0169, "top_left_x": 0.7402, "top_left_y": 0.1796}}], "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 [202, 26, 333, 81] 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": [202, 26, 333, 81], "raw_data": {"coco_file_name": "COCO_train2014_000000459569.jpg", "image_id": "459569", "caption": ["A baseball player has his bat in the air at a game.", "A baseball player who has just swung at the ball", "A guy playing baseball during the day outside.", "a baseball player with his bat looks high in the air ", "A baseball player swings his bat far behind him."], "ocr_tokens": ["FIRST", "VALLE", "9", "RST", "EAN", "N K", "OCEAN"], "ocr_info": [{"word": "FIRST", "bounding_box": {"width": 0.2042, "height": 0.1138, "top_left_x": 0.3167, "top_left_y": 0.056}}, {"word": "VALLE", "bounding_box": {"width": 0.1062, "height": 0.0519, "top_left_x": 0.2866, "top_left_y": 0.4856}}, {"word": "9", "bounding_box": {"width": 0.0563, "height": 0.0881, "top_left_x": 0.3205, "top_left_y": 0.5467}}, {"word": "RST", "bounding_box": {"width": 0.147, "height": 0.0946, "top_left_x": -0.0006, "top_left_y": 0.0783}}, {"word": "EAN", "bounding_box": {"width": 0.1091, "height": 0.0813, "top_left_x": 0.0016, "top_left_y": 0.0021}}, {"word": "N K", "bounding_box": {"width": 0.1372, "height": 0.0379, "top_left_x": -0.0023, "top_left_y": 0.1875}}, {"word": "OCEAN", "bounding_box": {"width": 0.2442, "height": 0.0642, "top_left_x": 0.2328, "top_left_y": 0.0002}}], "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 [194, 525, 260, 551] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Graceful"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 444, "image_height": 640, "bbox": [194, 525, 260, 551], "raw_data": {"coco_file_name": "COCO_train2014_000000203707.jpg", "image_id": "203707", "caption": ["A wedding cake with layers and flowers sitting on a table", "A triple layer cake sitting on top of a plate.", "A three-tiered cake on a plate is white with dots, and has ribbons and flowers in pink and purple. ", "A wedding cake with purple ribbon and flower designs on it.", "A wedding cake is pain stakingly prepared perfectly"], "ocr_tokens": ["Graceful", "Carbo", "Creations"], "ocr_info": [{"word": "Graceful", "bounding_box": {"width": 0.1477, "height": 0.0402, "top_left_x": 0.4385, "top_left_y": 0.8208}}, {"word": "Carbo", "bounding_box": {"width": 0.0937, "height": 0.0314, "top_left_x": 0.5932, "top_left_y": 0.8211}}, {"word": "Creations", "bounding_box": {"width": 0.1604, "height": 0.0331, "top_left_x": 0.6957, "top_left_y": 0.8205}}], "image_width": 444, "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 [310, 468, 352, 486] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "OUR"}
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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": [310, 468, 352, 486], "raw_data": {"coco_file_name": "COCO_train2014_000000558092.jpg", "image_id": "558092", "caption": ["A room loaded with diverse sorts of things all around. \n", "A plate of food, that appears to a small omelet and other pieces of meat.", "a fried egg next to some rice mixed with some meat", "A plate of food sits on a plate on a table. ", "Breakfast for one person is served on the table."], "ocr_tokens": ["OUR", "awes", "me", "PLANET"], "ocr_info": [{"word": "OUR", "bounding_box": {"width": 0.0653, "height": 0.0355, "top_left_x": 0.485, "top_left_y": 0.9146}}, {"word": "awes", "bounding_box": {"width": 0.1355, "height": 0.0529, "top_left_x": 0.558, "top_left_y": 0.9086}}, {"word": "me", "bounding_box": {"width": 0.093, "height": 0.04, "top_left_x": 0.7344, "top_left_y": 0.9129}}, {"word": "PLANET", "bounding_box": {"width": 0.1187, "height": 0.0346, "top_left_x": 0.833, "top_left_y": 0.9156}}], "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 [265, 212, 286, 239] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "13"}
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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": [265, 212, 286, 239], "raw_data": {"coco_file_name": "COCO_train2014_000000418397.jpg", "image_id": "418397", "caption": ["A batter, catcher and umpire during a baseball game.", "a baseball player with a bat in the batters box", "A baseball player holding a bat on a field.", "A baseball batter ready to hit a ball.", "an image of professional baseball game being played"], "ocr_tokens": ["13"], "ocr_info": [{"word": "13", "bounding_box": {"width": 0.0323, "height": 0.0625, "top_left_x": 0.415, "top_left_y": 0.4988}}], "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 [33, 203, 60, 218] 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": 375, "image_height": 500, "bbox": [33, 203, 60, 218], "raw_data": {"coco_file_name": "COCO_train2014_000000372603.jpg", "image_id": "372603", "caption": ["These people are talking as they walk up a sidewalk", "Two women walk down the sidewalk past many shops.", "A couple of ladies walk down a sidewalk past a yellow hydrant.", "Girl friends with hand bags walking down a commercial street", "Two women walking down a sidewalk near city shops."], "ocr_tokens": ["OPEN", "BAKERY", "BAKERY"], "ocr_info": [{"word": "OPEN", "bounding_box": {"width": 0.0699, "height": 0.031, "top_left_x": 0.0904, "top_left_y": 0.406}}, {"word": "BAKERY", "bounding_box": {"width": 0.0923, "height": 0.0976, "top_left_x": 0.2256, "top_left_y": 0.021}}, {"word": "BAKERY", "bounding_box": {"width": 0.0397, "height": 0.1754, "top_left_x": 0.5976, "top_left_y": -0.0014}}], "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 [314, 439, 349, 512] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "PACKERS"}
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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": [314, 439, 349, 512], "raw_data": {"coco_file_name": "COCO_train2014_000000182243.jpg", "image_id": "182243", "caption": ["A white teddy bear laying on the ground next to a blanket.", "A white teddy bear laying on a sidewalk", "A stuffed teddy bear lies on the pavement near clothes.", "A white stuffed animal laying on the sidewalk.", "a white teddy bear laying alone on the floor "], "ocr_tokens": ["PACKERS"], "ocr_info": [{"word": "PACKERS", "bounding_box": {"width": 0.0725, "height": 0.1133, "top_left_x": 0.6556, "top_left_y": 0.687}}], "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 [7, 354, 62, 390] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "XL"}
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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": [7, 354, 62, 390], "raw_data": {"coco_file_name": "COCO_train2014_000000540495.jpg", "image_id": "540495", "caption": ["A group of parked red motorcycles with a white \"US AID\" truck behind them.", "A couple of rows of motorcycles with helmets on them.", "Two rows of identical motorcycles in front of a US Aid truck.", "Several rows of red motorcycles and people looking at them.", "A man looks over rows of motorcycles in a courtyard. "], "ocr_tokens": ["XL", "USAID"], "ocr_info": [{"word": "XL", "bounding_box": {"width": 0.0852, "height": 0.0824, "top_left_x": 0.0123, "top_left_y": 0.8311}}, {"word": "USAID", "bounding_box": {"width": 0.0556, "height": 0.0244, "top_left_x": 0.633, "top_left_y": 0.2585}}], "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 [252, 14, 306, 25] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Barbican"}
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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": [252, 14, 306, 25], "raw_data": {"coco_file_name": "COCO_train2014_000000553800.jpg", "image_id": "553800", "caption": ["A woman is standing next to a corner filled with street signs.", "People are walking down a street while buses pass.", "some people are walking on the curbs and in the street", "Woman looking at directional signs on a busy street corner", "Pedestrian and bus traffic in London during the day"], "ocr_tokens": ["Barbican", "Centre", "Museum", "of", "London", "H", "Opera", "national", "M", "Ludgate", "Martin", "St", "Thameslink", "City", "Hospital", "Bartholomew's", "St", "Court", "Churchyard", "Paul's", "St", "Arcade", "Shopping"], "ocr_info": [{"word": "Barbican", "bounding_box": {"width": 0.0844, "height": 0.0221, "top_left_x": 0.3944, "top_left_y": 0.0312}}, {"word": "Centre", "bounding_box": {"width": 0.0656, "height": 0.0231, "top_left_x": 0.405, "top_left_y": 0.0604}}, {"word": "Museum", "bounding_box": {"width": 0.0797, "height": 0.0235, "top_left_x": 0.3806, "top_left_y": 0.0944}}, {"word": "of", "bounding_box": {"width": 0.0211, "height": 0.0223, "top_left_x": 0.468, "top_left_y": 0.0952}}, {"word": "London", "bounding_box": {"width": 0.0695, "height": 0.0231, "top_left_x": 0.3991, "top_left_y": 0.1237}}, {"word": "H", "bounding_box": {"width": 0.025, "height": 0.0454, "top_left_x": 0.6383, "top_left_y": 0.0385}}, {"word": "Opera", "bounding_box": {"width": 0.0509, "height": 0.0446, "top_left_x": 0.8592, "top_left_y": 0.4358}}, {"word": "national", "bounding_box": {"width": 0.0642, "height": 0.0394, "top_left_x": 0.7937, "top_left_y": 0.4387}}, {"word": "M", "bounding_box": {"width": 0.0244, "height": 0.0317, "top_left_x": 0.5125, "top_left_y": 0.1127}}, {"word": "Ludgate", "bounding_box": {"width": 0.0852, "height": 0.0279, "top_left_x": 0.715, "top_left_y": 0.1883}}, {"word": "Martin", "bounding_box": {"width": 0.0664, "height": 0.0246, "top_left_x": 0.7383, "top_left_y": 0.1583}}, {"word": "St", "bounding_box": {"width": 0.0272, "height": 0.0248, "top_left_x": 0.707, "top_left_y": 0.1575}}, {"word": "Thameslink", "bounding_box": {"width": 0.1152, "height": 0.0271, "top_left_x": 0.7325, "top_left_y": 0.1235}}, {"word": "City", "bounding_box": {"width": 0.0411, "height": 0.0308, "top_left_x": 0.7689, "top_left_y": 0.0935}}, {"word": "Hospital", "bounding_box": {"width": 0.0822, "height": 0.0285, "top_left_x": 0.7208, "top_left_y": 0.0587}}, {"word": "Bartholomew's", "bounding_box": {"width": 0.1434, "height": 0.0231, "top_left_x": 0.707, "top_left_y": 0.031}}, {"word": "St", "bounding_box": {"width": 0.0214, "height": 0.0217, "top_left_x": 0.6786, "top_left_y": 0.0325}}, {"word": "Court", "bounding_box": {"width": 0.0572, "height": 0.024, "top_left_x": 0.7145, "top_left_y": -0.0029}}, {"word": "Churchyard", "bounding_box": {"width": 0.1134, "height": 0.0331, "top_left_x": 0.3736, "top_left_y": 0.1806}}, {"word": "Paul's", "bounding_box": {"width": 0.0614, "height": 0.024, "top_left_x": 0.4164, "top_left_y": 0.156}}, {"word": "St", "bounding_box": {"width": 0.0248, "height": 0.0254, "top_left_x": 0.3847, "top_left_y": 0.1537}}, {"word": "Arcade", "bounding_box": {"width": 0.0613, "height": 0.0231, "top_left_x": 0.4802, "top_left_y": -0.0046}}, {"word": "Shopping", "bounding_box": {"width": 0.0873, "height": 0.0285, "top_left_x": 0.3864, "top_left_y": -0.0038}}], "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 [432, 601, 600, 624] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "acerphotography.com"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 610, "image_height": 635, "bbox": [432, 601, 600, 624], "raw_data": {"coco_file_name": "COCO_train2014_000000490801.jpg", "image_id": "490801", "caption": ["A woman standing over a table pouring cream.", "A woman showing kids how to decorate cupcakes.", "A woman frosting cup cakes for some kids.", "The children are waiting to eat their treat. ", "A woman is putting icing on a cupcake."], "ocr_tokens": ["acerphotography.com", "©", "Sport", "THE"], "ocr_info": [{"word": "acerphotography.com", "bounding_box": {"width": 0.2756, "height": 0.0365, "top_left_x": 0.7082, "top_left_y": 0.9471}}, {"word": "©", "bounding_box": {"width": 0.0126, "height": 0.0173, "top_left_x": 0.6848, "top_left_y": 0.955}}, {"word": "Sport", "bounding_box": {"width": 0.0741, "height": 0.0546, "top_left_x": 0.2167, "top_left_y": 0.731}}, {"word": "THE", "bounding_box": {"width": 0.0366, "height": 0.0321, "top_left_x": 0.2241, "top_left_y": 0.7153}}], "image_width": 610, "image_height": 635}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [277, 360, 309, 378] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "was"}
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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": [277, 360, 309, 378], "raw_data": {"coco_file_name": "COCO_train2014_000000156471.jpg", "image_id": "156471", "caption": ["A man holding a smart phone while standing next to a credit card reader.", "A man looking at something in his hands", "A young man is at a workstation with a phone.", "an image of man that is looking at his cellphone", "A young man is using a cell phone near electronics."], "ocr_tokens": ["was", "he", "wt", "to", "get"], "ocr_info": [{"word": "was", "bounding_box": {"width": 0.0759, "height": 0.0277, "top_left_x": 0.6496, "top_left_y": 0.5634}}, {"word": "he", "bounding_box": {"width": 0.0618, "height": 0.0302, "top_left_x": 0.7279, "top_left_y": 0.5544}}, {"word": "wt", "bounding_box": {"width": 0.0475, "height": 0.0392, "top_left_x": 0.7874, "top_left_y": 0.5684}}, {"word": "to", "bounding_box": {"width": 0.0534, "height": 0.0261, "top_left_x": 0.8349, "top_left_y": 0.5845}}, {"word": "get", "bounding_box": {"width": 0.0911, "height": 0.0347, "top_left_x": 0.8951, "top_left_y": 0.5845}}], "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 [170, 173, 218, 225] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "40"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 415, "image_height": 500, "bbox": [170, 173, 218, 225], "raw_data": {"coco_file_name": "COCO_train2014_000000274437.jpg", "image_id": "274437", "caption": ["A man playing baseball is throwing the ball.", "a man on a pitchers mound lunging forward delivering a ball", "A man in a baseball uniform is in the process of pitching a ball.", "a baseball player in green is throwing a ball", "A pitcher winds up to throw the ball."], "ocr_tokens": ["40"], "ocr_info": [{"word": "40", "bounding_box": {"width": 0.1164, "height": 0.1034, "top_left_x": 0.4108, "top_left_y": 0.3472}}], "image_width": 415, "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 [277, 298, 349, 399] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "NY"}
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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": [277, 298, 349, 399], "raw_data": {"coco_file_name": "COCO_train2014_000000278229.jpg", "image_id": "278229", "caption": ["The luggage bag has stickers on the side of it. ", "A luggage bag with travel stickers on it.", "Travel stickers on the back of a suitcase.", "A suitcase that has stickers on top of it.", "A piece of gray luggage with travel stickers."], "ocr_tokens": ["NY", "I", "CYMRU", "WALES", "BAYERN", "PASSAIS", "STADI", "DIE DAEI", "MUNCHEN"], "ocr_info": [{"word": "NY", "bounding_box": {"width": 0.113, "height": 0.2094, "top_left_x": 0.4338, "top_left_y": 0.6221}}, {"word": "I", "bounding_box": {"width": 0.082, "height": 0.0946, "top_left_x": 0.4017, "top_left_y": 0.7688}}, {"word": "CYMRU", "bounding_box": {"width": 0.047, "height": 0.1119, "top_left_x": 0.2908, "top_left_y": 0.7781}}, {"word": "WALES", "bounding_box": {"width": 0.0639, "height": 0.1121, "top_left_x": 0.9028, "top_left_y": 0.0727}}, {"word": "BAYERN", "bounding_box": {"width": 0.0269, "height": 0.1533, "top_left_x": 0.8198, "top_left_y": 0.4527}}, {"word": "PASSAIS", "bounding_box": {"width": 0.0156, "height": 0.0681, "top_left_x": 0.7609, "top_left_y": 0.6954}}, {"word": "STADI", "bounding_box": {"width": 0.025, "height": 0.0525, "top_left_x": 0.7652, "top_left_y": 0.7679}}, {"word": "DIE DAEI", "bounding_box": {"width": 0.0516, "height": 0.0517, "top_left_x": 0.8148, "top_left_y": 0.8715}}, {"word": "MUNCHEN", "bounding_box": {"width": 0.0187, "height": 0.1452, "top_left_x": 0.6253, "top_left_y": 0.7629}}], "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, 0, 23, 42] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Y"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 417, "image_height": 500, "bbox": [-1, 0, 23, 42], "raw_data": {"coco_file_name": "COCO_train2014_000000299679.jpg", "image_id": "299679", "caption": ["Two men in white baseball uniforms on baseball field.", "A pair of men on a field play a game.", "two baseball players on a field with gloves", "A man standing on a baseball field wearing a uniform.", "A ball flies through the air while two players watch."], "ocr_tokens": ["Y", "IN", "PAR", "POPPED", "3B"], "ocr_info": [{"word": "Y", "bounding_box": {"width": 0.059, "height": 0.0862, "top_left_x": -0.0026, "top_left_y": -0.0012}}, {"word": "IN", "bounding_box": {"width": 0.1014, "height": 0.0824, "top_left_x": 0.0779, "top_left_y": -0.0026}}, {"word": "PAR", "bounding_box": {"width": 0.2552, "height": 0.0876, "top_left_x": -0.0036, "top_left_y": 0.0922}}, {"word": "POPPED", "bounding_box": {"width": 0.2741, "height": 0.06, "top_left_x": 0.4532, "top_left_y": 0.0154}}, {"word": "3B", "bounding_box": {"width": 0.0902, "height": 0.0558, "top_left_x": 0.7463, "top_left_y": 0.0124}}], "image_width": 417, "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 [259, 132, 292, 151] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Coca Cola"}
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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": [259, 132, 292, 151], "raw_data": {"coco_file_name": "COCO_train2014_000000117781.jpg", "image_id": "117781", "caption": ["A group of boats floating next to each other on water.", "People shopping at an Oriental floating market by a dock", "A large grouping of boats on in an asiancanal city with umbrellas.", "Some people are riding on boats down the river.", "Many people on small boats in the water."], "ocr_tokens": ["Coca Cola"], "ocr_info": [{"word": "Coca Cola", "bounding_box": {"width": 0.0516, "height": 0.0392, "top_left_x": 0.4055, "top_left_y": 0.2769}}], "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 [463, 251, 493, 263] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "BLUE"}
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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": [463, 251, 493, 263], "raw_data": {"coco_file_name": "COCO_train2014_000000435482.jpg", "image_id": "435482", "caption": ["A bus driving down a city street next to tall buildings.", "a bus that is going down a road", "a public transit bus on a city street", "A large metro bus pulling away from the curb in the city.", "City bus just departing from stop from city central."], "ocr_tokens": ["BLUE", "RHS", "1207", "HORSESHOE", "250", "DYTE", "RTP", "ryansttcphotos.CS", "2013", "Chau", "Christopher", "by", "Photo", "TOWER", "SCOTTA", "9878", "1207"], "ocr_info": [{"word": "BLUE", "bounding_box": {"width": 0.0467, "height": 0.0283, "top_left_x": 0.7247, "top_left_y": 0.5892}}, {"word": "RHS", "bounding_box": {"width": 0.0355, "height": 0.0267, "top_left_x": 0.7753, "top_left_y": 0.5883}}, {"word": "1207", "bounding_box": {"width": 0.0481, "height": 0.0335, "top_left_x": 0.6261, "top_left_y": 0.5782}}, {"word": "HORSESHOE", "bounding_box": {"width": 0.1361, "height": 0.0653, "top_left_x": 0.6933, "top_left_y": 0.2159}}, {"word": "250", "bounding_box": {"width": 0.0503, "height": 0.0585, "top_left_x": 0.6252, "top_left_y": 0.2124}}, {"word": "DYTE", "bounding_box": {"width": 0.0347, "height": 0.0197, "top_left_x": 0.0125, "top_left_y": 0.9571}}, {"word": "RTP", "bounding_box": {"width": 0.0263, "height": 0.0194, "top_left_x": 0.0163, "top_left_y": 0.9319}}, {"word": "ryansttcphotos.CS", "bounding_box": {"width": 0.1231, "height": 0.03, "top_left_x": 0.0595, "top_left_y": 0.9595}}, {"word": "2013", "bounding_box": {"width": 0.0345, "height": 0.0244, "top_left_x": 0.2536, "top_left_y": 0.919}}, {"word": "Chau", "bounding_box": {"width": 0.0331, "height": 0.0232, "top_left_x": 0.2027, "top_left_y": 0.9213}}, {"word": "Christopher", "bounding_box": {"width": 0.0817, "height": 0.029, "top_left_x": 0.1172, "top_left_y": 0.9201}}, {"word": "by", "bounding_box": {"width": 0.0169, "height": 0.0288, "top_left_x": 0.1003, "top_left_y": 0.9213}}, {"word": "Photo", "bounding_box": {"width": 0.0409, "height": 0.0255, "top_left_x": 0.0588, "top_left_y": 0.9162}}, {"word": "TOWER", "bounding_box": {"width": 0.0584, "height": 0.0543, "top_left_x": 0.842, "top_left_y": 0.0035}}, {"word": "SCOTTA", "bounding_box": {"width": 0.0484, "height": 0.0473, "top_left_x": 0.792, "top_left_y": 0.029}}, {"word": "9878", "bounding_box": {"width": 0.0253, "height": 0.0183, "top_left_x": 0.6495, "top_left_y": 0.7904}}, {"word": "1207", "bounding_box": {"width": 0.0223, "height": 0.0276, "top_left_x": 0.457, "top_left_y": 0.2557}}], "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 [197, 248, 252, 262] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "MARINE"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 400, "bbox": [197, 248, 252, 262], "raw_data": {"coco_file_name": "COCO_train2014_000000130592.jpg", "image_id": "130592", "caption": ["People get off a tour bus to explore the area.", "A bus is shown next to hills of rocks.", "A tours bus on a tropical island that had some trouble.", "A tour bus stopped near a mountain while people gather nearby", "A tour bus parked next to a large open field at the foot of a rocky hillside."], "ocr_tokens": ["MARINE", "DRIVE", "TOUR.", "AROUNG", "THE", "ORME", "GREAT"], "ocr_info": [{"word": "MARINE", "bounding_box": {"width": 0.0858, "height": 0.0348, "top_left_x": 0.3091, "top_left_y": 0.6208}}, {"word": "DRIVE", "bounding_box": {"width": 0.0634, "height": 0.0315, "top_left_x": 0.3966, "top_left_y": 0.6162}}, {"word": "TOUR.", "bounding_box": {"width": 0.0598, "height": 0.0315, "top_left_x": 0.4641, "top_left_y": 0.613}}, {"word": "AROUNG", "bounding_box": {"width": 0.0836, "height": 0.0302, "top_left_x": 0.5262, "top_left_y": 0.6092}}, {"word": "THE", "bounding_box": {"width": 0.0366, "height": 0.0258, "top_left_x": 0.6119, "top_left_y": 0.6092}}, {"word": "ORME", "bounding_box": {"width": 0.0497, "height": 0.0255, "top_left_x": 0.7136, "top_left_y": 0.61}}, {"word": "GREAT", "bounding_box": {"width": 0.0564, "height": 0.0255, "top_left_x": 0.6509, "top_left_y": 0.61}}], "image_width": 640, "image_height": 400}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [439, 188, 456, 196] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "OSO"}
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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": [439, 188, 456, 196], "raw_data": {"coco_file_name": "COCO_train2014_000000045552.jpg", "image_id": "45552", "caption": ["A person kicking a soccer ball across a field.", "An individual kicking around a soccer ball on the field. ", "A woman kicking a soccer ball on a soccer field. ", "A woman is kicking the soccer ball on the field.", "A woman kicking a soccer ball towards the goal"], "ocr_tokens": ["OSO"], "ocr_info": [{"word": "OSO", "bounding_box": {"width": 0.0259, "height": 0.0194, "top_left_x": 0.6869, "top_left_y": 0.4417}}], "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 [240, 392, 323, 414] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "ONE"}
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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": [240, 392, 323, 414], "raw_data": {"coco_file_name": "COCO_train2014_000000274642.jpg", "image_id": "274642", "caption": ["A beautiful woman smiling at a baby playing with a cake.", "A young kid and a woman with a cake on the table", "a woman looks over an infant in a high chair reaching for a birthday cake", "a young woman is watching her son eat cake", "a female in a pink top and a small child and a cake"], "ocr_tokens": ["ONE"], "ocr_info": [{"word": "ONE", "bounding_box": {"width": 0.1944, "height": 0.0341, "top_left_x": 0.5628, "top_left_y": 0.6136}}], "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 [435, 270, 613, 343] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "ARARAT"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 482, "bbox": [435, 270, 613, 343], "raw_data": {"coco_file_name": "COCO_train2014_000000483692.jpg", "image_id": "483692", "caption": ["A man flying through the air on top of a skateboard.", "A young man is in the middle of performing a skateboard trick.", "A man skates onto pallets in a city with packed streets.", "a young man jumping in the air on top of skateboard", "A man doing a trick on a skateboard on some boards."], "ocr_tokens": ["ARARAT", "CAFE", "Donerp", "BABOS", "BAB"], "ocr_info": [{"word": "ARARAT", "bounding_box": {"width": 0.2778, "height": 0.1531, "top_left_x": 0.6802, "top_left_y": 0.5602}}, {"word": "CAFE", "bounding_box": {"width": 0.0391, "height": 0.0473, "top_left_x": 0.5413, "top_left_y": 0.5241}}, {"word": "Donerp", "bounding_box": {"width": 0.0825, "height": 0.082, "top_left_x": 0.167, "top_left_y": 0.4249}}, {"word": "BABOS", "bounding_box": {"width": 0.0795, "height": 0.0699, "top_left_x": 0.0367, "top_left_y": 0.3158}}, {"word": "BAB", "bounding_box": {"width": 0.0706, "height": 0.0691, "top_left_x": 0.3058, "top_left_y": 0.5367}}], "image_width": 640, "image_height": 482}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [382, 471, 421, 501] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "IBM"}
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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": [382, 471, 421, 501], "raw_data": {"coco_file_name": "COCO_train2014_000000571886.jpg", "image_id": "571886", "caption": ["Black computer sitting on top of a white box on a table. ", "A laptop computer sitting on top of a desk.", "A broken laptop computer sitting on a desk.", "A laptop computer placed on top of a book on the table", "A laptop with a bunch of unknown images on the screen."], "ocr_tokens": ["IBM"], "ocr_info": [{"word": "IBM", "bounding_box": {"width": 0.0802, "height": 0.0467, "top_left_x": 0.7979, "top_left_y": 0.7372}}], "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 [134, 211, 178, 256] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "21"}
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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": [134, 211, 178, 256], "raw_data": {"coco_file_name": "COCO_train2014_000000162177.jpg", "image_id": "162177", "caption": ["A group of baseball players standing on top of a field.", "Players standing next to base during game at outdoor field.", "A group of kids that are standing in the dirt.", "Several baseball players in uniform, through a fence", "A couple of boys standing on a baseball field."], "ocr_tokens": ["21"], "ocr_info": [{"word": "21", "bounding_box": {"width": 0.0912, "height": 0.07, "top_left_x": 0.2804, "top_left_y": 0.3306}}], "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 [84, 203, 102, 217] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "82"}
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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": [84, 203, 102, 217], "raw_data": {"coco_file_name": "COCO_train2014_000000347340.jpg", "image_id": "347340", "caption": ["A woman holding a cow with people at the back", "The woman stands next to a white cow with spots.", "A lady in white with a white and black cow.", "A woman standing beside a cow under a covered building.", "A woman in tight white pants standing next to a cow."], "ocr_tokens": ["82"], "ocr_info": [{"word": "82", "bounding_box": {"width": 0.0275, "height": 0.03, "top_left_x": 0.1322, "top_left_y": 0.4238}}], "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 [407, 0, 463, 17] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "berry"}
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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": [407, 0, 463, 17], "raw_data": {"coco_file_name": "COCO_train2014_000000257517.jpg", "image_id": "257517", "caption": ["Two bowls of food, one with rice and the other fruit and vegetables. ", "A bunch of different vegetables sitting in a pink bowl", "A pink plastic bowl of fruits and vegetables with a tiger decoration.", "A child's pink dinner tray with a tiger toothpick.", "A healthy pink bowl of rice, gfuit, vegetables, and cheese."], "ocr_tokens": ["berry"], "ocr_info": [{"word": "berry", "bounding_box": {"width": 0.112, "height": 0.0461, "top_left_x": 0.8156, "top_left_y": 0.0005}}], "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 [225, 143, 257, 152] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "CLASSIC"}
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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": [225, 143, 257, 152], "raw_data": {"coco_file_name": "COCO_train2014_000000259088.jpg", "image_id": "259088", "caption": ["Street intersection with police standing in middle of orange cones", "Several people gathered on a corner near a bus that was involved in an accident.", "People gathered around the corner of a sidewalk next to a bus.", "There are several people gathered at the street corner.", "People, cars and buses all stopped at a street corner. "], "ocr_tokens": ["CLASSIC", "CLEANERS"], "ocr_info": [{"word": "CLASSIC", "bounding_box": {"width": 0.0492, "height": 0.0185, "top_left_x": 0.353, "top_left_y": 0.299}}, {"word": "CLEANERS", "bounding_box": {"width": 0.05, "height": 0.0175, "top_left_x": 0.3516, "top_left_y": 0.325}}], "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 [103, 187, 227, 230] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Canada"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 478, "bbox": [103, 187, 227, 230], "raw_data": {"coco_file_name": "COCO_train2014_000000266455.jpg", "image_id": "266455", "caption": ["A train sitting on tracks with a couple of garbage bags off to the side.", "Some trash in front of a parked train at a station.", "A train that is sitting on tracks near a building.", "a bag of items lay down next to a parked train", "A passenger train that is traveling down the tracks."], "ocr_tokens": ["Canada"], "ocr_info": [{"word": "Canada", "bounding_box": {"width": 0.1934, "height": 0.0902, "top_left_x": 0.1614, "top_left_y": 0.3927}}], "image_width": 640, "image_height": 478}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [346, 163, 397, 177] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "DRIVE"}
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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": [346, 163, 397, 177], "raw_data": {"coco_file_name": "COCO_train2014_000000108259.jpg", "image_id": "108259", "caption": ["A street sign reading Centergate Drive in front of some trees", "a green and white street sign on a green pole and some trees", "A green pole with a street sign near trees on Centergate Drive.", "Street sign on green post in area with trees.", "A street sign on a green post by leaves"], "ocr_tokens": ["DRIVE", "CENTERGATE"], "ocr_info": [{"word": "DRIVE", "bounding_box": {"width": 0.0797, "height": 0.0298, "top_left_x": 0.5417, "top_left_y": 0.3398}}, {"word": "CENTERGATE", "bounding_box": {"width": 0.2856, "height": 0.075, "top_left_x": 0.2295, "top_left_y": 0.3354}}], "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, 398, 100, 409] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Gaurika"}
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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": [57, 398, 100, 409], "raw_data": {"coco_file_name": "COCO_train2014_000000100689.jpg", "image_id": "100689", "caption": ["A large group of elephants walking towards the water.", "A heard of elephants with their backs turned. ", "A line of elephants walking in a line to get to water.", "A herd of elephants walking across a lush grass field.", "very many elephants on the field moving in a group"], "ocr_tokens": ["Gaurika"], "ocr_info": [{"word": "Gaurika", "bounding_box": {"width": 0.0683, "height": 0.0256, "top_left_x": 0.0894, "top_left_y": 0.9347}}], "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 [185, 261, 243, 280] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "TURKISH"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 400, "bbox": [185, 261, 243, 280], "raw_data": {"coco_file_name": "COCO_train2014_000000180272.jpg", "image_id": "180272", "caption": ["A white, yellow and black jet airliner on a runway.", "an air plane on an air port run way", "A Turkish Airlines jumbo jet on a runway during the day.", "A plane parked on the tarmac at an airport", "A black, yellow and white airplane with blue letters on the side."], "ocr_tokens": ["TURKISH", "AIRLINES", "BORUSSIA", "B", "V", "B", "09"], "ocr_info": [{"word": "TURKISH", "bounding_box": {"width": 0.09, "height": 0.048, "top_left_x": 0.2902, "top_left_y": 0.6528}}, {"word": "AIRLINES", "bounding_box": {"width": 0.088, "height": 0.04, "top_left_x": 0.3742, "top_left_y": 0.6415}}, {"word": "BORUSSIA", "bounding_box": {"width": 0.055, "height": 0.0305, "top_left_x": 0.5472, "top_left_y": 0.6302}}, {"word": "B", "bounding_box": {"width": 0.02, "height": 0.067, "top_left_x": 0.6742, "top_left_y": 0.4767}}, {"word": "V", "bounding_box": {"width": 0.025, "height": 0.0705, "top_left_x": 0.6842, "top_left_y": 0.4462}}, {"word": "B", "bounding_box": {"width": 0.0141, "height": 0.067, "top_left_x": 0.7052, "top_left_y": 0.4767}}, {"word": "09", "bounding_box": {"width": 0.0209, "height": 0.0385, "top_left_x": 0.6892, "top_left_y": 0.5358}}], "image_width": 640, "image_height": 400}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [341, 0, 388, 96] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "S"}
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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": [341, 0, 388, 96], "raw_data": {"coco_file_name": "COCO_train2014_000000535100.jpg", "image_id": "535100", "caption": ["A lady sits by an airport window as an aircraft is closely parked.", "The woman smiles while sitting in an airport.", "a woman stands in front of a window", "a photo of a person sitting near a window with an air plane outside", "A woman sitting next to a window smiles for a picture."], "ocr_tokens": ["S", "ACE", "ACE", "BE", "CE"], "ocr_info": [{"word": "S", "bounding_box": {"width": 0.099, "height": 0.1508, "top_left_x": 0.7106, "top_left_y": -0.0008}}, {"word": "ACE", "bounding_box": {"width": 0.0706, "height": 0.0373, "top_left_x": 0.9302, "top_left_y": 0.6452}}, {"word": "ACE", "bounding_box": {"width": 0.1327, "height": 0.0595, "top_left_x": 0.7865, "top_left_y": 0.9152}}, {"word": "BE", "bounding_box": {"width": 0.079, "height": 0.0553, "top_left_x": 0.9217, "top_left_y": 0.9053}}, {"word": "CE", "bounding_box": {"width": 0.0781, "height": 0.0491, "top_left_x": 0.8796, "top_left_y": 0.8116}}], "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 [399, 330, 419, 343] 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": 640, "image_height": 426, "bbox": [399, 330, 419, 343], "raw_data": {"coco_file_name": "COCO_train2014_000000288547.jpg", "image_id": "288547", "caption": ["An suv with a bumper sticker on the window waiting at a light", "The back end of an SUV with a bumper sticker that reads \" THE TRUTH IS OUT THERE INFOWARS.COM\".", "The sticker on the rear window of this car is about infowars.com", "A car has a sticker saying the truth is out there", "Some cars at a traffic light, one with a red sticker on the back "], "ocr_tokens": ["THE", "TRUTH", "IS", "OUT", "THERE", "INFORWARS.COM"], "ocr_info": [{"word": "THE", "bounding_box": {"width": 0.0311, "height": 0.0315, "top_left_x": 0.6248, "top_left_y": 0.7758}}, {"word": "TRUTH", "bounding_box": {"width": 0.0516, "height": 0.0305, "top_left_x": 0.6588, "top_left_y": 0.7763}}, {"word": "IS", "bounding_box": {"width": 0.0161, "height": 0.0308, "top_left_x": 0.7148, "top_left_y": 0.7775}}, {"word": "OUT", "bounding_box": {"width": 0.033, "height": 0.0315, "top_left_x": 0.7345, "top_left_y": 0.7786}}, {"word": "THERE", "bounding_box": {"width": 0.0534, "height": 0.03, "top_left_x": 0.7711, "top_left_y": 0.7805}}, {"word": "INFORWARS.COM", "bounding_box": {"width": 0.1966, "height": 0.0451, "top_left_x": 0.6225, "top_left_y": 0.8061}}], "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 [278, 51, 298, 79] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "7"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 496, "bbox": [278, 51, 298, 79], "raw_data": {"coco_file_name": "COCO_train2014_000000139679.jpg", "image_id": "139679", "caption": ["An african american man playing tennis on a green court", "Tennis player on side of turf in mid air trying to compose self during match.", "A tennis player focuses on the ball he just hit.", "A man hitting a tennis ball on a court.", "A man playing tennis and serving the ball."], "ocr_tokens": ["7", "6", "6", "DAVIS", "CUP", "BNP", "MOTORS", "KIA", "6", "7", "7", "3", "0", "0", "2", "PARIBAS", "PHILIPPINES", "JAPAN", "HOT", "HOTELE"], "ocr_info": [{"word": "7", "bounding_box": {"width": 0.0312, "height": 0.056, "top_left_x": 0.4345, "top_left_y": 0.104}}, {"word": "6", "bounding_box": {"width": 0.0362, "height": 0.0716, "top_left_x": 0.473, "top_left_y": 0.1048}}, {"word": "6", "bounding_box": {"width": 0.0308, "height": 0.0607, "top_left_x": 0.5212, "top_left_y": 0.1133}}, {"word": "DAVIS", "bounding_box": {"width": 0.0964, "height": 0.0468, "top_left_x": 0.4177, "top_left_y": 0.0129}}, {"word": "CUP", "bounding_box": {"width": 0.0742, "height": 0.0452, "top_left_x": 0.5177, "top_left_y": 0.0246}}, {"word": "BNP", "bounding_box": {"width": 0.0539, "height": 0.0288, "top_left_x": 0.4266, "top_left_y": 0.0565}}, {"word": "MOTORS", "bounding_box": {"width": 0.0847, "height": 0.0565, "top_left_x": 0.7202, "top_left_y": 0.3141}}, {"word": "KIA", "bounding_box": {"width": 0.0375, "height": 0.0403, "top_left_x": 0.6764, "top_left_y": 0.3097}}, {"word": "6", "bounding_box": {"width": 0.0292, "height": 0.0637, "top_left_x": 0.4178, "top_left_y": 0.1935}}, {"word": "7", "bounding_box": {"width": 0.0341, "height": 0.0601, "top_left_x": 0.4595, "top_left_y": 0.1954}}, {"word": "7", "bounding_box": {"width": 0.0369, "height": 0.0601, "top_left_x": 0.5019, "top_left_y": 0.2016}}, {"word": "3", "bounding_box": {"width": 0.0298, "height": 0.0645, "top_left_x": 0.5595, "top_left_y": 0.2042}}, {"word": "0", "bounding_box": {"width": 0.0361, "height": 0.0627, "top_left_x": 0.5998, "top_left_y": 0.2115}}, {"word": "0", "bounding_box": {"width": 0.0355, "height": 0.0609, "top_left_x": 0.613, "top_left_y": 0.1228}}, {"word": "2", "bounding_box": {"width": 0.0375, "height": 0.0583, "top_left_x": 0.5637, "top_left_y": 0.1192}}, {"word": "PARIBAS", "bounding_box": {"width": 0.1022, "height": 0.0288, "top_left_x": 0.4831, "top_left_y": 0.0671}}, {"word": "PHILIPPINES", "bounding_box": {"width": 0.0944, "height": 0.0591, "top_left_x": 0.325, "top_left_y": 0.0917}}, {"word": "JAPAN", "bounding_box": {"width": 0.0889, "height": 0.052, "top_left_x": 0.3111, "top_left_y": 0.1929}}, {"word": "HOT", "bounding_box": {"width": 0.107, "height": 0.0466, "top_left_x": 0.2611, "top_left_y": 0.2853}}, {"word": "HOTELE", "bounding_box": {"width": 0.1105, "height": 0.0494, "top_left_x": 0.0827, "top_left_y": 0.3004}}], "image_width": 640, "image_height": 496}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [61, 312, 174, 357] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "BLACKLEY"}
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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": [61, 312, 174, 357], "raw_data": {"coco_file_name": "COCO_train2014_000000384603.jpg", "image_id": "384603", "caption": ["A luggage tram carrying suitcases out to a plane.", "Nose of a prop plane with luggage cars at an airport.", "An Airplane is parked near the Silvester/Clark gate with luggage directly in front. ", "A luggage cart sitting on an airport runway next to a propeller plane.", "Suitcases sit in a car near a plane on the runway. "], "ocr_tokens": ["BLACKLEY", "www.blackley.co.nz", "CLARK", "5557", "SILVESTER"], "ocr_info": [{"word": "BLACKLEY", "bounding_box": {"width": 0.177, "height": 0.1061, "top_left_x": 0.0958, "top_left_y": 0.7382}}, {"word": "www.blackley.co.nz", "bounding_box": {"width": 0.1406, "height": 0.0646, "top_left_x": 0.1089, "top_left_y": 0.9377}}, {"word": "CLARK", "bounding_box": {"width": 0.1958, "height": 0.0946, "top_left_x": 0.7159, "top_left_y": 0.9066}}, {"word": "5557", "bounding_box": {"width": 0.0295, "height": 0.034, "top_left_x": 0.0094, "top_left_y": 0.9052}}, {"word": "SILVESTER", "bounding_box": {"width": 0.2633, "height": 0.1276, "top_left_x": 0.4211, "top_left_y": 0.8517}}], "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 [126, 43, 151, 58] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "HOLE"}
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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": [126, 43, 151, 58], "raw_data": {"coco_file_name": "COCO_train2014_000000146439.jpg", "image_id": "146439", "caption": ["A black cat standing on top of a piece of musical equipment.", "A cat surrounded by various musical equipment like a keyboard.", "A black cat standing on the amp connected to multiple keyboards.", "The black cat of a musician sits on the amp in the kitchen", "A cat is standing upon an amp in a home music studio."], "ocr_tokens": ["HOLE", "WALL", "TEXAS", "AUSTIN", "MS2000"], "ocr_info": [{"word": "HOLE", "bounding_box": {"width": 0.0604, "height": 0.0239, "top_left_x": 0.2953, "top_left_y": 0.0675}}, {"word": "WALL", "bounding_box": {"width": 0.0674, "height": 0.0258, "top_left_x": 0.4136, "top_left_y": 0.0778}}, {"word": "TEXAS", "bounding_box": {"width": 0.0712, "height": 0.0206, "top_left_x": 0.3988, "top_left_y": 0.0967}}, {"word": "AUSTIN", "bounding_box": {"width": 0.0707, "height": 0.0191, "top_left_x": 0.2944, "top_left_y": 0.0892}}, {"word": "MS2000", "bounding_box": {"width": 0.156, "height": 0.0377, "top_left_x": 0.3047, "top_left_y": 0.1244}}], "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 [138, 243, 167, 257] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "052"}
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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": [138, 243, 167, 257], "raw_data": {"coco_file_name": "COCO_train2014_000000475693.jpg", "image_id": "475693", "caption": ["The fighter jet is on the runway ready to take off.", "A fighter jet sitting on top of a runway.", "There is an airplane on a patch of concrete in the middle of a field.", "a jet plane is parked out on a runway", "A fighter jet sitting on an airport runway."], "ocr_tokens": ["052", "8", "J", "3052", "I"], "ocr_info": [{"word": "052", "bounding_box": {"width": 0.0456, "height": 0.0285, "top_left_x": 0.2167, "top_left_y": 0.5083}}, {"word": "8", "bounding_box": {"width": 0.0081, "height": 0.0177, "top_left_x": 0.3616, "top_left_y": 0.5188}}, {"word": "J", "bounding_box": {"width": 0.0116, "height": 0.0254, "top_left_x": 0.7852, "top_left_y": 0.4235}}, {"word": "3052", "bounding_box": {"width": 0.0473, "height": 0.0275, "top_left_x": 0.8061, "top_left_y": 0.4233}}, {"word": "I", "bounding_box": {"width": 0.0092, "height": 0.0225, "top_left_x": 0.7922, "top_left_y": 0.5154}}], "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 [230, 173, 412, 197] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "www.citylink.com.hk"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 368, "bbox": [230, 173, 412, 197], "raw_data": {"coco_file_name": "COCO_train2014_000000171011.jpg", "image_id": "171011", "caption": ["A person crossing the street in front of a transit bus.", "A white and red bus on street with people passing by.", "A bus in Hong Kong near a 7-Eleven store.", "there is a bus with lots of writing on it on this street", "A person walking in front of a large bus."], "ocr_tokens": ["www.citylink.com.hk", "27822782", "2393 9313", "7", "SEATS", "16", "BUS", "LIGHT", "PUBLIC"], "ocr_info": [{"word": "www.citylink.com.hk", "bounding_box": {"width": 0.2842, "height": 0.066, "top_left_x": 0.3603, "top_left_y": 0.472}}, {"word": "27822782", "bounding_box": {"width": 0.0827, "height": 0.0364, "top_left_x": 0.5619, "top_left_y": 0.5212}}, {"word": "2393 9313", "bounding_box": {"width": 0.0827, "height": 0.0345, "top_left_x": 0.5613, "top_left_y": 0.5582}}, {"word": "7", "bounding_box": {"width": 0.028, "height": 0.0688, "top_left_x": 0.7917, "top_left_y": 0.1603}}, {"word": "SEATS", "bounding_box": {"width": 0.0559, "height": 0.0378, "top_left_x": 0.3814, "top_left_y": 0.0899}}, {"word": "16", "bounding_box": {"width": 0.0241, "height": 0.0345, "top_left_x": 0.3442, "top_left_y": 0.0815}}, {"word": "BUS", "bounding_box": {"width": 0.0395, "height": 0.0367, "top_left_x": 0.2917, "top_left_y": 0.0758}}, {"word": "LIGHT", "bounding_box": {"width": 0.0613, "height": 0.0459, "top_left_x": 0.2194, "top_left_y": 0.0666}}, {"word": "PUBLIC", "bounding_box": {"width": 0.0795, "height": 0.041, "top_left_x": 0.1258, "top_left_y": 0.0582}}], "image_width": 640, "image_height": 368}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [563, 60, 605, 117] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "WELLSFARGO"}
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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": [563, 60, 605, 117], "raw_data": {"coco_file_name": "COCO_train2014_000000349363.jpg", "image_id": "349363", "caption": ["A group of cars is waiting at a traffic stop.", "Multiple cars stopped at an intersection near some tall buildings.", "there are many cars that are waiting for the light to turn green ", "A red traffic light over an intersection in the city with cars stopped at it.", "Traffic stopped waiting for the light to turn green."], "ocr_tokens": ["WELLSFARGO"], "ocr_info": [{"word": "WELLSFARGO", "bounding_box": {"width": 0.0659, "height": 0.1185, "top_left_x": 0.8805, "top_left_y": 0.126}}], "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 [276, 233, 323, 272] 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": 588, "bbox": [276, 233, 323, 272], "raw_data": {"coco_file_name": "COCO_train2014_000000404766.jpg", "image_id": "404766", "caption": ["A man in white jersey throwing a baseball.", "A baseball player pitches the ball during a game", "a pitcher on the mound throwing a ball ", "A baseball player has just pitched a ball.", "A baseball player pitching a baseball on top of a field."], "ocr_tokens": ["12"], "ocr_info": [{"word": "12", "bounding_box": {"width": 0.0733, "height": 0.0656, "top_left_x": 0.4317, "top_left_y": 0.3971}}], "image_width": 640, "image_height": 588}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [195, 170, 238, 178] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "MINNESOTA"}
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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": [195, 170, 238, 178], "raw_data": {"coco_file_name": "COCO_train2014_000000488583.jpg", "image_id": "488583", "caption": ["A man pushing a lot of luggage in an airport.", "A man with two luggage carts at the airport.", "Man waiting next to his luggage at an airport.", "Passenger standing with two carts full of suitcases. ", "A person standing in front of two luggage carts at the airport."], "ocr_tokens": ["MINNESOTA", "65", "8"], "ocr_info": [{"word": "MINNESOTA", "bounding_box": {"width": 0.086, "height": 0.0208, "top_left_x": 0.39, "top_left_y": 0.4547}}, {"word": "65", "bounding_box": {"width": 0.0342, "height": 0.0576, "top_left_x": 0.5018, "top_left_y": 0.7843}}, {"word": "8", "bounding_box": {"width": 0.0112, "height": 0.0259, "top_left_x": 0.3586, "top_left_y": 0.2384}}], "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 [211, 320, 218, 327] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "T"}
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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": [211, 320, 218, 327], "raw_data": {"coco_file_name": "COCO_train2014_000000391332.jpg", "image_id": "391332", "caption": ["A computer keyboard set in front of two time and temperature guages.", "Two alarm clocks side by side under monitors by a keyboard.", "The two clocks are beneath two monitors and in front of a keyboard. ", "A computer keyboard with two clocks in front of a window.", "A view of a keyboard with military time and standard time."], "ocr_tokens": ["T", "U", "O", "P", "7", "3", "Z", "X", "C", "D", "F", "V", "B", "N", "M", "K", "J", "H", "G", "R", "E", "S", "W", "A", "0", "18", "DELL", "18", "7", "WED", "19", "18", "7", "19"], "ocr_info": [{"word": "T", "bounding_box": {"width": 0.0116, "height": 0.0154, "top_left_x": 0.3302, "top_left_y": 0.6677}}, {"word": "U", "bounding_box": {"width": 0.0148, "height": 0.0194, "top_left_x": 0.4402, "top_left_y": 0.6604}}, {"word": "O", "bounding_box": {"width": 0.017, "height": 0.0152, "top_left_x": 0.5487, "top_left_y": 0.66}}, {"word": "P", "bounding_box": {"width": 0.0116, "height": 0.0171, "top_left_x": 0.6038, "top_left_y": 0.656}}, {"word": "7", "bounding_box": {"width": 0.0087, "height": 0.0131, "top_left_x": 0.415, "top_left_y": 0.6271}}, {"word": "3", "bounding_box": {"width": 0.0103, "height": 0.0154, "top_left_x": 0.1883, "top_left_y": 0.6362}}, {"word": "Z", "bounding_box": {"width": 0.0175, "height": 0.0231, "top_left_x": 0.1123, "top_left_y": 0.8075}}, {"word": "X", "bounding_box": {"width": 0.015, "height": 0.0185, "top_left_x": 0.1795, "top_left_y": 0.8069}}, {"word": "C", "bounding_box": {"width": 0.0186, "height": 0.0225, "top_left_x": 0.2397, "top_left_y": 0.8029}}, {"word": "D", "bounding_box": {"width": 0.015, "height": 0.0208, "top_left_x": 0.2178, "top_left_y": 0.7358}}, {"word": "F", "bounding_box": {"width": 0.0161, "height": 0.0208, "top_left_x": 0.2803, "top_left_y": 0.735}}, {"word": "V", "bounding_box": {"width": 0.0133, "height": 0.0194, "top_left_x": 0.3086, "top_left_y": 0.8006}}, {"word": "B", "bounding_box": {"width": 0.012, "height": 0.0194, "top_left_x": 0.37, "top_left_y": 0.7952}}, {"word": "N", "bounding_box": {"width": 0.0133, "height": 0.0217, "top_left_x": 0.4302, "top_left_y": 0.7898}}, {"word": "M", "bounding_box": {"width": 0.0169, "height": 0.0225, "top_left_x": 0.4897, "top_left_y": 0.7844}}, {"word": "K", "bounding_box": {"width": 0.0127, "height": 0.0183, "top_left_x": 0.5141, "top_left_y": 0.7212}}, {"word": "J", "bounding_box": {"width": 0.0103, "height": 0.0163, "top_left_x": 0.458, "top_left_y": 0.7281}}, {"word": "H", "bounding_box": {"width": 0.0133, "height": 0.0185, "top_left_x": 0.3989, "top_left_y": 0.7273}}, {"word": "G", "bounding_box": {"width": 0.0139, "height": 0.0163, "top_left_x": 0.3405, "top_left_y": 0.7335}}, {"word": "R", "bounding_box": {"width": 0.0139, "height": 0.0192, "top_left_x": 0.2709, "top_left_y": 0.671}}, {"word": "E", "bounding_box": {"width": 0.018, "height": 0.0202, "top_left_x": 0.2084, "top_left_y": 0.6725}}, {"word": "S", "bounding_box": {"width": 0.0134, "height": 0.02, "top_left_x": 0.1575, "top_left_y": 0.7413}}, {"word": "W", "bounding_box": {"width": 0.0192, "height": 0.0163, "top_left_x": 0.1534, "top_left_y": 0.6771}}, {"word": "A", "bounding_box": {"width": 0.0122, "height": 0.02, "top_left_x": 0.095, "top_left_y": 0.7444}}, {"word": "0", "bounding_box": {"width": 0.0169, "height": 0.0223, "top_left_x": 0.0909, "top_left_y": 0.6756}}, {"word": "18", "bounding_box": {"width": 0.0509, "height": 0.0708, "top_left_x": 0.587, "top_left_y": 0.4244}}, {"word": "DELL", "bounding_box": {"width": 0.0809, "height": 0.0271, "top_left_x": 0.8502, "top_left_y": 0.5485}}, {"word": "18", "bounding_box": {"width": 0.0214, "height": 0.0292, "top_left_x": 0.7402, "top_left_y": 0.4692}}, {"word": "7", "bounding_box": {"width": 0.0127, "height": 0.0231, "top_left_x": 0.7211, "top_left_y": 0.4692}}, {"word": "WED", "bounding_box": {"width": 0.0433, "height": 0.0294, "top_left_x": 0.72, "top_left_y": 0.4327}}, {"word": "19", "bounding_box": {"width": 0.0533, "height": 0.0688, "top_left_x": 0.6678, "top_left_y": 0.4281}}, {"word": "18", "bounding_box": {"width": 0.0214, "height": 0.0285, "top_left_x": 0.3911, "top_left_y": 0.4654}}, {"word": "7", "bounding_box": {"width": 0.0105, "height": 0.024, "top_left_x": 0.372, "top_left_y": 0.4715}}, {"word": "19", "bounding_box": {"width": 0.0475, "height": 0.0765, "top_left_x": 0.317, "top_left_y": 0.426}}], "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 [516, 375, 529, 387] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "40"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 449, "bbox": [516, 375, 529, 387], "raw_data": {"coco_file_name": "COCO_train2014_000000226264.jpg", "image_id": "226264", "caption": ["A city with lots of tall buildings and a train parked at a station.", "some brown grass a train and some buildings ", "The trains are travelling into the city area.", "A view of the city from the train tracks.", "there is a view of the sky line of a city"], "ocr_tokens": ["40", "TVX", "X", "APL", "10", "100"], "ocr_info": [{"word": "40", "bounding_box": {"width": 0.0203, "height": 0.0281, "top_left_x": 0.8078, "top_left_y": 0.8356}}, {"word": "TVX", "bounding_box": {"width": 0.0394, "height": 0.0223, "top_left_x": 0.4583, "top_left_y": 0.8292}}, {"word": "X", "bounding_box": {"width": 0.0091, "height": 0.0156, "top_left_x": 0.2372, "top_left_y": 0.8254}}, {"word": "APL", "bounding_box": {"width": 0.0236, "height": 0.0249, "top_left_x": 0.0181, "top_left_y": 0.7156}}, {"word": "10", "bounding_box": {"width": 0.0147, "height": 0.0156, "top_left_x": 0.5737, "top_left_y": 0.7617}}, {"word": "100", "bounding_box": {"width": 0.0152, "height": 0.0102, "top_left_x": 0.7305, "top_left_y": 0.8521}}], "image_width": 640, "image_height": 449}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [59, 45, 126, 66] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Mobler"}
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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": [59, 45, 126, 66], "raw_data": {"coco_file_name": "COCO_train2014_000000042705.jpg", "image_id": "42705", "caption": ["A MAN ON A MOTORIZED WHEELCHAIR DRIVING IN THE PATH OF A BUS ", "A person in a motorized scooter is on the road in front of a store being followed by a bus.", "a man on a scooter riding down the road in front of a bus", "A man riding a scooter past a yellow city bus.", "An elderly man traveling on a public street on a hover round vehicle in front of a yellow bus and a white van."], "ocr_tokens": ["Mobler", "gaara", "66", "5", "8", "Mbit"], "ocr_info": [{"word": "Mobler", "bounding_box": {"width": 0.1342, "height": 0.0571, "top_left_x": 0.1192, "top_left_y": 0.1211}}, {"word": "gaara", "bounding_box": {"width": 0.1116, "height": 0.0483, "top_left_x": -0.002, "top_left_y": 0.1323}}, {"word": "66", "bounding_box": {"width": 0.0284, "height": 0.0403, "top_left_x": 0.7808, "top_left_y": 0.2661}}, {"word": "5", "bounding_box": {"width": 0.035, "height": 0.0507, "top_left_x": 0.8818, "top_left_y": 0.152}}, {"word": "8", "bounding_box": {"width": 0.0184, "height": 0.0197, "top_left_x": 0.9828, "top_left_y": 0.1741}}, {"word": "Mbit", "bounding_box": {"width": 0.053, "height": 0.0317, "top_left_x": 0.9274, "top_left_y": 0.164}}], "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 [287, 509, 334, 544] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "STAUB"}
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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": [287, 509, 334, 544], "raw_data": {"coco_file_name": "COCO_train2014_000000347933.jpg", "image_id": "347933", "caption": ["A table topped with two pies and a bowl of apples.", "two small brown crumb cakes next to spoons and apples on a wooden table", "A couple of pies and a bowl of apples sit on a table.", "An advertisement showing a bowl of apples and two small pies.", "A couple of pies on a table with some spoons."], "ocr_tokens": ["STAUB", "Pie", "Crumb", "Apple", "Caramel", "ST"], "ocr_info": [{"word": "STAUB", "bounding_box": {"width": 0.1105, "height": 0.0537, "top_left_x": 0.6733, "top_left_y": 0.7966}}, {"word": "Pie", "bounding_box": {"width": 0.0806, "height": 0.0325, "top_left_x": 0.1674, "top_left_y": 0.9466}}, {"word": "Crumb", "bounding_box": {"width": 0.1686, "height": 0.03, "top_left_x": 0.1974, "top_left_y": 0.9028}}, {"word": "Apple", "bounding_box": {"width": 0.1405, "height": 0.0412, "top_left_x": 0.0419, "top_left_y": 0.9028}}, {"word": "Caramel", "bounding_box": {"width": 0.3073, "height": 0.0663, "top_left_x": 0.0475, "top_left_y": 0.8253}}, {"word": "ST", "bounding_box": {"width": 0.1087, "height": 0.0375, "top_left_x": 0.2499, "top_left_y": 0.4997}}], "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 [126, 113, 208, 161] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "DOUGLAS ADAMS"}
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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": [126, 113, 208, 161], "raw_data": {"coco_file_name": "COCO_train2014_000000425862.jpg", "image_id": "425862", "caption": ["a close up of a person sitting reading a book", "Girl sitting down reading a book by Douglas Adams.", "A beautiful young lady reading a book while sitting down.", "a woman sitting and holding up a book she is reading", "A person that is reading a book while sitting down."], "ocr_tokens": ["DOUGLAS ADAMS", "ADAMS", "DOUGLAS ADAMS", "ADAMS", "THE", "THE GUIDE", "CALAXY", "TO"], "ocr_info": [{"word": "DOUGLAS ADAMS", "bounding_box": {"width": 0.164, "height": 0.1267, "top_left_x": 0.253, "top_left_y": 0.3027}}, {"word": "ADAMS", "bounding_box": {"width": 0.135, "height": 0.1027, "top_left_x": 0.283, "top_left_y": 0.356}}, {"word": "DOUGLAS ADAMS", "bounding_box": {"width": 0.098, "height": 0.2013, "top_left_x": 0.184, "top_left_y": 0.4227}}, {"word": "ADAMS", "bounding_box": {"width": 0.091, "height": 0.1653, "top_left_x": 0.165, "top_left_y": 0.4627}}, {"word": "THE", "bounding_box": {"width": 0.0358, "height": 0.0237, "top_left_x": 0.4604, "top_left_y": 0.7189}}, {"word": "THE GUIDE", "bounding_box": {"width": 0.0544, "height": 0.0456, "top_left_x": 0.377, "top_left_y": 0.7427}}, {"word": "CALAXY", "bounding_box": {"width": 0.0392, "height": 0.0701, "top_left_x": 0.2556, "top_left_y": 0.6803}}, {"word": "TO", "bounding_box": {"width": 0.0174, "height": 0.0264, "top_left_x": 0.2844, "top_left_y": 0.6995}}], "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 [1, 467, 46, 481] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "c Luca"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 490, "bbox": [1, 467, 46, 481], "raw_data": {"coco_file_name": "COCO_train2014_000000210813.jpg", "image_id": "210813", "caption": ["A beautiful woman in a white bath robe standing in front of a garage door.", "A woman in a robe smoking outside a parking garage checking her cell", "A woman in a white robe is standing in font of a black door. ", "A woman in a robe is using a mobile device while holding a cigarette in front of a garage door", "A woman standing in a white bathrobe by a garage door, smoking."], "ocr_tokens": ["c Luca", "Mortellaro"], "ocr_info": [{"word": "c Luca", "bounding_box": {"width": 0.0713, "height": 0.0288, "top_left_x": 0.002, "top_left_y": 0.9533}}, {"word": "Mortellaro", "bounding_box": {"width": 0.1061, "height": 0.0269, "top_left_x": 0.08, "top_left_y": 0.9543}}], "image_width": 640, "image_height": 490}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [188, 125, 230, 170] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "JACK"}
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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": [188, 125, 230, 170], "raw_data": {"coco_file_name": "COCO_train2014_000000442026.jpg", "image_id": "442026", "caption": ["A bottle of whiskey sitting next to a computer keyboard.", "a big bottle of whiskey sits next to a keyboard ", "A bottle of whisky sitting on a computer desk next to a keyboard.", "An interior shows shelves and the closeup of a computer desk with messily scattered papers and a keyboard resting alongside a full bottle of Jack Daniels. ", "A bottle of Jack Daniels whiskey sitting next to a computer keyboard."], "ocr_tokens": ["JACK", "DANIEL'S", "OLD", "TIME", "Old", "S", "E", "S", "P", "Y", "U", "0", "P", "O", "I", "L", "K", "J", "M", "N", "H", "G", "V", "C", "X", "Z", "DISTILLERY", "DANIEL", "DISTILLEAY", "THE", "BOTTLED", "WHISKEY", "MASH", "SOUR", "BRAND", "No.7", "QUALITY", "Tennessee"], "ocr_info": [{"word": "JACK", "bounding_box": {"width": 0.0675, "height": 0.0725, "top_left_x": 0.3088, "top_left_y": 0.2057}}, {"word": "DANIEL'S", "bounding_box": {"width": 0.1425, "height": 0.0788, "top_left_x": 0.3725, "top_left_y": 0.1907}}, {"word": "OLD", "bounding_box": {"width": 0.04, "height": 0.0239, "top_left_x": 0.3526, "top_left_y": 0.2444}}, {"word": "TIME", "bounding_box": {"width": 0.0464, "height": 0.0225, "top_left_x": 0.4, "top_left_y": 0.2469}}, {"word": "Old", "bounding_box": {"width": 0.0538, "height": 0.0237, "top_left_x": 0.375, "top_left_y": 0.2845}}, {"word": "S", "bounding_box": {"width": 0.026, "height": 0.0157, "top_left_x": 0.5227, "top_left_y": 0.7051}}, {"word": "E", "bounding_box": {"width": 0.0242, "height": 0.0163, "top_left_x": 0.3725, "top_left_y": 0.699}}, {"word": "S", "bounding_box": {"width": 0.0289, "height": 0.0162, "top_left_x": 0.2562, "top_left_y": 0.7178}}, {"word": "P", "bounding_box": {"width": 0.0266, "height": 0.0168, "top_left_x": 0.3683, "top_left_y": 0.7662}}, {"word": "Y", "bounding_box": {"width": 0.0265, "height": 0.0162, "top_left_x": 0.5667, "top_left_y": 0.774}}, {"word": "U", "bounding_box": {"width": 0.0314, "height": 0.0229, "top_left_x": 0.6443, "top_left_y": 0.8026}}, {"word": "0", "bounding_box": {"width": 0.0314, "height": 0.0211, "top_left_x": 0.9608, "top_left_y": 0.852}}, {"word": "P", "bounding_box": {"width": 0.035, "height": 0.0242, "top_left_x": 0.9655, "top_left_y": 0.9227}}, {"word": "O", "bounding_box": {"width": 0.0368, "height": 0.026, "top_left_x": 0.842, "top_left_y": 0.8757}}, {"word": "I", "bounding_box": {"width": 0.0222, "height": 0.0188, "top_left_x": 0.7453, "top_left_y": 0.8387}}, {"word": "L", "bounding_box": {"width": 0.0296, "height": 0.0248, "top_left_x": 0.7935, "top_left_y": 0.949}}, {"word": "K", "bounding_box": {"width": 0.0356, "height": 0.0235, "top_left_x": 0.6814, "top_left_y": 0.9015}}, {"word": "J", "bounding_box": {"width": 0.0307, "height": 0.0235, "top_left_x": 0.585, "top_left_y": 0.8605}}, {"word": "M", "bounding_box": {"width": 0.0408, "height": 0.0296, "top_left_x": 0.5404, "top_left_y": 0.9364}}, {"word": "N", "bounding_box": {"width": 0.0337, "height": 0.0217, "top_left_x": 0.4554, "top_left_y": 0.8956}}, {"word": "H", "bounding_box": {"width": 0.0343, "height": 0.0217, "top_left_x": 0.5036, "top_left_y": 0.8232}}, {"word": "G", "bounding_box": {"width": 0.0302, "height": 0.0235, "top_left_x": 0.4312, "top_left_y": 0.79}}, {"word": "V", "bounding_box": {"width": 0.0289, "height": 0.0199, "top_left_x": 0.3155, "top_left_y": 0.8214}}, {"word": "C", "bounding_box": {"width": 0.0312, "height": 0.0224, "top_left_x": 0.2541, "top_left_y": 0.7894}}, {"word": "X", "bounding_box": {"width": 0.0271, "height": 0.0175, "top_left_x": 0.2028, "top_left_y": 0.7636}}, {"word": "Z", "bounding_box": {"width": 0.0283, "height": 0.0163, "top_left_x": 0.1552, "top_left_y": 0.74}}, {"word": "DISTILLERY", "bounding_box": {"width": 0.0915, "height": 0.0127, "top_left_x": 0.4211, "top_left_y": 0.499}}, {"word": "DANIEL", "bounding_box": {"width": 0.0536, "height": 0.0127, "top_left_x": 0.3644, "top_left_y": 0.4948}}, {"word": "DISTILLEAY", "bounding_box": {"width": 0.0224, "height": 0.1459, "top_left_x": 0.5242, "top_left_y": 0.1724}}, {"word": "THE", "bounding_box": {"width": 0.0132, "height": 0.0489, "top_left_x": 0.532, "top_left_y": 0.3288}}, {"word": "BOTTLED", "bounding_box": {"width": 0.0211, "height": 0.1074, "top_left_x": 0.5332, "top_left_y": 0.4265}}, {"word": "WHISKEY", "bounding_box": {"width": 0.1724, "height": 0.0355, "top_left_x": 0.3294, "top_left_y": 0.4386}}, {"word": "MASH", "bounding_box": {"width": 0.0639, "height": 0.015, "top_left_x": 0.4101, "top_left_y": 0.4253}}, {"word": "SOUR", "bounding_box": {"width": 0.0513, "height": 0.0108, "top_left_x": 0.3469, "top_left_y": 0.4265}}, {"word": "BRAND", "bounding_box": {"width": 0.0578, "height": 0.0155, "top_left_x": 0.3765, "top_left_y": 0.3361}}, {"word": "No.7", "bounding_box": {"width": 0.065, "height": 0.0265, "top_left_x": 0.3729, "top_left_y": 0.3077}}, {"word": "QUALITY", "bounding_box": {"width": 0.0652, "height": 0.0134, "top_left_x": 0.3734, "top_left_y": 0.377}}, {"word": "Tennessee", "bounding_box": {"width": 0.1551, "height": 0.0404, "top_left_x": 0.3342, "top_left_y": 0.383}}], "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 [522, 399, 554, 412] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "2013"}
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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": [522, 399, 554, 412], "raw_data": {"coco_file_name": "COCO_train2014_000000352675.jpg", "image_id": "352675", "caption": ["A small bird perched on top of a metal post.", "A bird is sitting outdoors on a wire fence.", "A bird with a red neck perched on a metal bar.", "The small bird stands on a thin circular rail.", "A bird sits on top of a wire fence."], "ocr_tokens": ["2013", "Mike", "Fisher", "C"], "ocr_info": [{"word": "2013", "bounding_box": {"width": 0.05, "height": 0.0302, "top_left_x": 0.8162, "top_left_y": 0.9425}}, {"word": "Mike", "bounding_box": {"width": 0.0541, "height": 0.0377, "top_left_x": 0.8733, "top_left_y": 0.9394}}, {"word": "Fisher", "bounding_box": {"width": 0.0661, "height": 0.0377, "top_left_x": 0.9333, "top_left_y": 0.9363}}, {"word": "C", "bounding_box": {"width": 0.0159, "height": 0.0196, "top_left_x": 0.7903, "top_left_y": 0.9469}}], "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 [14, 326, 42, 375] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "ji"}
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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": [14, 326, 42, 375], "raw_data": {"coco_file_name": "COCO_train2014_000000141988.jpg", "image_id": "141988", "caption": ["Two women at a table with pizza and action figures.", "two women sitting at a table with a pizza in the middle of the table ", "Two women sitting at a table with pizza on the table. ", "Two young ladies eating pizza sitting on chairs at the dining table.", "Two women are enjoying their pizza at lunch."], "ocr_tokens": ["ji", "cana"], "ocr_info": [{"word": "ji", "bounding_box": {"width": 0.0568, "height": 0.1312, "top_left_x": 0.0284, "top_left_y": 0.8712}}, {"word": "cana", "bounding_box": {"width": 0.0406, "height": 0.0432, "top_left_x": 0.1114, "top_left_y": 0.7768}}], "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 [291, 0, 366, 23] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "COFFEE"}
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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": [291, 0, 366, 23], "raw_data": {"coco_file_name": "COCO_train2014_000000483008.jpg", "image_id": "483008", "caption": ["A girl in dress sitting on a park bench.", "The little girl is sitting on the bench outside the little restaurant.", "A young girl with a bag sitting on a bench.", "Little girl wearing blue clothing carrying purple bag sitting outside cafe.", "A young girl sitting on a yellow bench."], "ocr_tokens": ["COFFEE", "HOT", "Soup"], "ocr_info": [{"word": "COFFEE", "bounding_box": {"width": 0.1565, "height": 0.037, "top_left_x": 0.6075, "top_left_y": -0.0008}}, {"word": "HOT", "bounding_box": {"width": 0.0675, "height": 0.0417, "top_left_x": 0.6535, "top_left_y": 0.0805}}, {"word": "Soup", "bounding_box": {"width": 0.0996, "height": 0.0466, "top_left_x": 0.6375, "top_left_y": 0.1214}}], "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 [264, 1, 281, 37] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "3"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 478, "bbox": [264, 1, 281, 37], "raw_data": {"coco_file_name": "COCO_train2014_000000510771.jpg", "image_id": "510771", "caption": ["an image of a boy that is playing a baseball game", "several people standing on a baseball field watching a young boy getting ready to a hit a ball. ", "A little league batter await a pitch at home plate.", "A boy in red jersey holding a baseball bat.", "A young man up to bat at a baseball game holding the bat."], "ocr_tokens": ["3"], "ocr_info": [{"word": "3", "bounding_box": {"width": 0.0266, "height": 0.0751, "top_left_x": 0.4139, "top_left_y": 0.0031}}], "image_width": 640, "image_height": 478}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [22, 281, 106, 296] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "PUBLIX"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 369, "bbox": [22, 281, 106, 296], "raw_data": {"coco_file_name": "COCO_train2014_000000496374.jpg", "image_id": "496374", "caption": ["a cooked pizza compared to the picture on the box", "A pizza box and a pizza on a rack.", "A pizza sitting on top of a metal rack.", "A counter top shows a pepperoni pizza pie, cooling on a rack, on a cutting board, beside the box it came from. ", "A frozen pizza box with the cooked pizza lying next to it."], "ocr_tokens": ["PUBLIX", "PREMIUM", "Spicy", "italian", "THIN", "PIZZA", "CRUST", "CRISPY", "&", "crispy", "FMULM", "THIN", "127", "NET"], "ocr_info": [{"word": "PUBLIX", "bounding_box": {"width": 0.1319, "height": 0.0404, "top_left_x": 0.0344, "top_left_y": 0.7637}}, {"word": "PREMIUM", "bounding_box": {"width": 0.1628, "height": 0.0325, "top_left_x": 0.1862, "top_left_y": 0.7748}}, {"word": "Spicy", "bounding_box": {"width": 0.0613, "height": 0.0404, "top_left_x": 0.0281, "top_left_y": 0.8173}}, {"word": "italian", "bounding_box": {"width": 0.0694, "height": 0.0336, "top_left_x": 0.0953, "top_left_y": 0.8257}}, {"word": "THIN", "bounding_box": {"width": 0.035, "height": 0.0271, "top_left_x": 0.3952, "top_left_y": 0.7542}}, {"word": "PIZZA", "bounding_box": {"width": 0.0286, "height": 0.0241, "top_left_x": 0.4705, "top_left_y": 0.7566}}, {"word": "CRUST", "bounding_box": {"width": 0.0325, "height": 0.0266, "top_left_x": 0.4359, "top_left_y": 0.7645}}, {"word": "CRISPY", "bounding_box": {"width": 0.0492, "height": 0.035, "top_left_x": 0.4492, "top_left_y": 0.7341}}, {"word": "&", "bounding_box": {"width": 0.0102, "height": 0.0184, "top_left_x": 0.4338, "top_left_y": 0.7526}}, {"word": "crispy", "bounding_box": {"width": 0.0467, "height": 0.0244, "top_left_x": 0.3711, "top_left_y": 0.9545}}, {"word": "FMULM", "bounding_box": {"width": 0.1378, "height": 0.0339, "top_left_x": 0.143, "top_left_y": 0.9599}}, {"word": "THIN", "bounding_box": {"width": 0.0319, "height": 0.0209, "top_left_x": 0.3231, "top_left_y": 0.9669}}, {"word": "127", "bounding_box": {"width": 0.02, "height": 0.0217, "top_left_x": 0.2545, "top_left_y": 0.9127}}, {"word": "NET", "bounding_box": {"width": 0.0203, "height": 0.0225, "top_left_x": 0.2127, "top_left_y": 0.9098}}], "image_width": 640, "image_height": 369}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [379, 204, 405, 215] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "truth"}
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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": [379, 204, 405, 215], "raw_data": {"coco_file_name": "COCO_train2014_000000431154.jpg", "image_id": "431154", "caption": ["Several stuffed animals and teddy bears laying on a bed.", "A bed topped with large and small stuffed animals.", "A group of teddy bears lying on a bed some under the covers.", "A picture of a female child's bed with her stuff animals. ", "A BED OF PILLOWS, A COUPLE OF STUFFED ANIMALS AND BABY BLANKETS."], "ocr_tokens": ["truth"], "ocr_info": [{"word": "truth", "bounding_box": {"width": 0.0411, "height": 0.0274, "top_left_x": 0.5925, "top_left_y": 0.4782}}], "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 [58, 67, 159, 92] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "BAKERY"}
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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": [58, 67, 159, 92], "raw_data": {"coco_file_name": "COCO_train2014_000000250195.jpg", "image_id": "250195", "caption": ["a person walking on a city street near a traffic light ", "Man walking on rainy street with cars and buildings", "A man walking down a rain covered sidewalk.", "A man in blue jacket and shorts walking on sidewalk.", "A man with a black hat on walking down the street"], "ocr_tokens": ["BAKERY", "ENDS", "on", "move", "bank", "to", "easy", "it\"s", "the", "AXI", "CALL", "COFFEE"], "ocr_info": [{"word": "BAKERY", "bounding_box": {"width": 0.1575, "height": 0.0387, "top_left_x": 0.0912, "top_left_y": 0.1062}}, {"word": "ENDS", "bounding_box": {"width": 0.03, "height": 0.0125, "top_left_x": 0.605, "top_left_y": 0.11}}, {"word": "on", "bounding_box": {"width": 0.0175, "height": 0.01, "top_left_x": 0.6512, "top_left_y": 0.3138}}, {"word": "move", "bounding_box": {"width": 0.0362, "height": 0.0112, "top_left_x": 0.6963, "top_left_y": 0.3163}}, {"word": "bank", "bounding_box": {"width": 0.0338, "height": 0.015, "top_left_x": 0.7137, "top_left_y": 0.2963}}, {"word": "to", "bounding_box": {"width": 0.0116, "height": 0.0127, "top_left_x": 0.6978, "top_left_y": 0.2978}}, {"word": "easy", "bounding_box": {"width": 0.0311, "height": 0.0141, "top_left_x": 0.6636, "top_left_y": 0.2984}}, {"word": "it\"s", "bounding_box": {"width": 0.0222, "height": 0.018, "top_left_x": 0.6389, "top_left_y": 0.2914}}, {"word": "the", "bounding_box": {"width": 0.0238, "height": 0.0156, "top_left_x": 0.6691, "top_left_y": 0.3109}}, {"word": "AXI", "bounding_box": {"width": 0.0272, "height": 0.0111, "top_left_x": 0.7344, "top_left_y": 0.3631}}, {"word": "CALL", "bounding_box": {"width": 0.0202, "height": 0.008, "top_left_x": 0.6541, "top_left_y": 0.3341}}, {"word": "COFFEE", "bounding_box": {"width": 0.0597, "height": 0.0172, "top_left_x": 0.1333, "top_left_y": 0.182}}], "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 [182, 200, 226, 220] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Bank"}
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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": [182, 200, 226, 220], "raw_data": {"coco_file_name": "COCO_train2014_000000504807.jpg", "image_id": "504807", "caption": ["A batter is about to swing at a baseball game.", "A baseball player prepares to swing as spectators watch. ", "A batter at a baseball game preparing for a pitch.", "A baseball game in progress with the batter up to plate.", "A baseball player holding a baseball bat during a game."], "ocr_tokens": ["Bank", "of", "18", "ZOSRIST", "bankof", "4", "Orioles.com", "ica"], "ocr_info": [{"word": "Bank", "bounding_box": {"width": 0.068, "height": 0.045, "top_left_x": 0.2859, "top_left_y": 0.4703}}, {"word": "of", "bounding_box": {"width": 0.0259, "height": 0.0511, "top_left_x": 0.3539, "top_left_y": 0.4658}}, {"word": "18", "bounding_box": {"width": 0.0439, "height": 0.0585, "top_left_x": 0.5809, "top_left_y": 0.4988}}, {"word": "ZOSRIST", "bounding_box": {"width": 0.062, "height": 0.0391, "top_left_x": 0.5639, "top_left_y": 0.4628}}, {"word": "bankof", "bounding_box": {"width": 0.0563, "height": 0.0267, "top_left_x": 0.4372, "top_left_y": 0.6356}}, {"word": "4", "bounding_box": {"width": 0.0169, "height": 0.0234, "top_left_x": 0.3872, "top_left_y": 0.6843}}, {"word": "Orioles.com", "bounding_box": {"width": 0.1036, "height": 0.0269, "top_left_x": 0.1164, "top_left_y": 0.5091}}, {"word": "ica", "bounding_box": {"width": 0.0411, "height": 0.0382, "top_left_x": 0.0013, "top_left_y": 0.4632}}], "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 [457, 221, 473, 243] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "3"}
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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": [457, 221, 473, 243], "raw_data": {"coco_file_name": "COCO_train2014_000000482127.jpg", "image_id": "482127", "caption": ["A bird sitting on top of an open book.", "A bird is perched on the top of a book.", "A beautiful bird perched on and biting a book.", "Small blue and grey bird sitting on top of a book. ", "Blue parakeet on top of book chewing the pages."], "ocr_tokens": ["3", "SUBJECT", "THE", "THE SUBJECT", "have", "10", "limits", "the", "within", "ontology.", "my", "to", "as", "me", "for", "those", "who", "already", "had", "some", "certainly", "has", "which", "synopsis,", "this", "a", "'want-to-be'", "not", "design", "have", "I", "desire", "of", "the", "of", "speaking", "what", "this", "linked", "he", "arch", "audacious", "an", "by", "and", "lack", "of", "function", "structurin", "the", "as", "writings", "previous", "my", "in", "recognized", "he", "what", "listeners,", "Jacques-Alain A", "Miller,", "give", "an", "excellent", "outline", "o", "my", "of", "one", "for", "opportunity", "an", "provided", "gap", "a", "of", "STRUCTURE", "the", "through", "unconscious", "THE ", "of", "introduction", "my", "NECK ", "Last", "hysteric", "the", "OF", "desire", "The", "Cortesian", "BRTAND", "revised", "to", "HAS", "theory", "all", "That", "CLINICAL", "is", "unconscious", "the", "status", "The", "desire", "THE", "desire", "of", "Finitude", "not", "being", "Neither", "OF", "OF"], "ocr_info": [{"word": "3", "bounding_box": {"width": 0.0244, "height": 0.045, "top_left_x": 0.7153, "top_left_y": 0.4615}}, {"word": "SUBJECT", "bounding_box": {"width": 0.0995, "height": 0.08, "top_left_x": 0.7434, "top_left_y": 0.4946}}, {"word": "THE", "bounding_box": {"width": 0.0511, "height": 0.0473, "top_left_x": 0.6891, "top_left_y": 0.5508}}, {"word": "THE SUBJECT", "bounding_box": {"width": 0.1311, "height": 0.0931, "top_left_x": 0.7087, "top_left_y": 0.5392}}, {"word": "have", "bounding_box": {"width": 0.0308, "height": 0.0271, "top_left_x": 0.9403, "top_left_y": 0.964}}, {"word": "10", "bounding_box": {"width": 0.0164, "height": 0.0154, "top_left_x": 0.9248, "top_left_y": 0.9846}}, {"word": "limits", "bounding_box": {"width": 0.0377, "height": 0.0346, "top_left_x": 0.9417, "top_left_y": 0.9235}}, {"word": "the", "bounding_box": {"width": 0.0256, "height": 0.0244, "top_left_x": 0.92, "top_left_y": 0.9531}}, {"word": "within", "bounding_box": {"width": 0.043, "height": 0.0348, "top_left_x": 0.877, "top_left_y": 0.9665}}, {"word": "ontology.", "bounding_box": {"width": 0.0492, "height": 0.0496, "top_left_x": 0.9205, "top_left_y": 0.899}}, {"word": "my", "bounding_box": {"width": 0.0203, "height": 0.0238, "top_left_x": 0.8964, "top_left_y": 0.9421}}, {"word": "to", "bounding_box": {"width": 0.0153, "height": 0.02, "top_left_x": 0.8781, "top_left_y": 0.9556}}, {"word": "as", "bounding_box": {"width": 0.017, "height": 0.0185, "top_left_x": 0.8606, "top_left_y": 0.9685}}, {"word": "me", "bounding_box": {"width": 0.0222, "height": 0.0194, "top_left_x": 0.8366, "top_left_y": 0.9806}}, {"word": "for", "bounding_box": {"width": 0.0238, "height": 0.0219, "top_left_x": 0.8037, "top_left_y": 0.9723}}, {"word": "those", "bounding_box": {"width": 0.0409, "height": 0.029, "top_left_x": 0.8222, "top_left_y": 0.9504}}, {"word": "who", "bounding_box": {"width": 0.0305, "height": 0.0225, "top_left_x": 0.8606, "top_left_y": 0.9319}}, {"word": "already", "bounding_box": {"width": 0.0477, "height": 0.0419, "top_left_x": 0.8902, "top_left_y": 0.8971}}, {"word": "had", "bounding_box": {"width": 0.0261, "height": 0.031, "top_left_x": 0.9378, "top_left_y": 0.8771}}, {"word": "some", "bounding_box": {"width": 0.0323, "height": 0.0315, "top_left_x": 0.9639, "top_left_y": 0.8585}}, {"word": "certainly", "bounding_box": {"width": 0.0544, "height": 0.0481, "top_left_x": 0.9177, "top_left_y": 0.8425}}, {"word": "has", "bounding_box": {"width": 0.027, "height": 0.0271, "top_left_x": 0.8906, "top_left_y": 0.8823}}, {"word": "which", "bounding_box": {"width": 0.0405, "height": 0.0398, "top_left_x": 0.8467, "top_left_y": 0.8946}}, {"word": "synopsis,", "bounding_box": {"width": 0.0569, "height": 0.0521, "top_left_x": 0.7859, "top_left_y": 0.9273}}, {"word": "this", "bounding_box": {"width": 0.0236, "height": 0.0256, "top_left_x": 0.758, "top_left_y": 0.9692}}, {"word": "a", "bounding_box": {"width": 0.0134, "height": 0.0181, "top_left_x": 0.7411, "top_left_y": 0.9587}}, {"word": "'want-to-be'", "bounding_box": {"width": 0.0733, "height": 0.0598, "top_left_x": 0.7556, "top_left_y": 0.906}}, {"word": "not", "bounding_box": {"width": 0.0208, "height": 0.0256, "top_left_x": 0.9773, "top_left_y": 0.8258}}, {"word": "design", "bounding_box": {"width": 0.0433, "height": 0.041, "top_left_x": 0.9558, "top_left_y": 0.7673}}, {"word": "have", "bounding_box": {"width": 0.0308, "height": 0.0256, "top_left_x": 0.923, "top_left_y": 0.7994}}, {"word": "I", "bounding_box": {"width": 0.0097, "height": 0.0225, "top_left_x": 0.9133, "top_left_y": 0.8117}}, {"word": "desire", "bounding_box": {"width": 0.0381, "height": 0.0367, "top_left_x": 0.8733, "top_left_y": 0.8277}}, {"word": "of", "bounding_box": {"width": 0.0145, "height": 0.0262, "top_left_x": 0.8588, "top_left_y": 0.8438}}, {"word": "the", "bounding_box": {"width": 0.0236, "height": 0.0283, "top_left_x": 0.7783, "top_left_y": 0.8965}}, {"word": "of", "bounding_box": {"width": 0.0187, "height": 0.0252, "top_left_x": 0.7605, "top_left_y": 0.9067}}, {"word": "speaking", "bounding_box": {"width": 0.0613, "height": 0.0475, "top_left_x": 0.7011, "top_left_y": 0.9229}}, {"word": "what", "bounding_box": {"width": 0.0356, "height": 0.0354, "top_left_x": 0.6611, "top_left_y": 0.9627}}, {"word": "this", "bounding_box": {"width": 0.0261, "height": 0.0296, "top_left_x": 0.9692, "top_left_y": 0.7402}}, {"word": "linked", "bounding_box": {"width": 0.0395, "height": 0.0413, "top_left_x": 0.9283, "top_left_y": 0.7562}}, {"word": "he", "bounding_box": {"width": 0.0169, "height": 0.016, "top_left_x": 0.91, "top_left_y": 0.7892}}, {"word": "arch", "bounding_box": {"width": 0.0308, "height": 0.0348, "top_left_x": 0.8758, "top_left_y": 0.7942}}, {"word": "audacious", "bounding_box": {"width": 0.0617, "height": 0.0502, "top_left_x": 0.8116, "top_left_y": 0.8206}}, {"word": "an", "bounding_box": {"width": 0.0173, "height": 0.0192, "top_left_x": 0.79, "top_left_y": 0.8654}}, {"word": "by", "bounding_box": {"width": 0.018, "height": 0.02, "top_left_x": 0.7702, "top_left_y": 0.8763}}, {"word": "and", "bounding_box": {"width": 0.027, "height": 0.034, "top_left_x": 0.7447, "top_left_y": 0.8802}}, {"word": "lack", "bounding_box": {"width": 0.0289, "height": 0.0342, "top_left_x": 0.708, "top_left_y": 0.9052}}, {"word": "of", "bounding_box": {"width": 0.0169, "height": 0.0277, "top_left_x": 0.6809, "top_left_y": 0.9296}}, {"word": "function", "bounding_box": {"width": 0.0622, "height": 0.0508, "top_left_x": 0.6173, "top_left_y": 0.9437}}, {"word": "structurin", "bounding_box": {"width": 0.0592, "height": 0.0533, "top_left_x": 0.9395, "top_left_y": 0.7046}}, {"word": "the", "bounding_box": {"width": 0.0231, "height": 0.0225, "top_left_x": 0.9183, "top_left_y": 0.7508}}, {"word": "as", "bounding_box": {"width": 0.0145, "height": 0.0194, "top_left_x": 0.9037, "top_left_y": 0.7638}}, {"word": "writings", "bounding_box": {"width": 0.0525, "height": 0.0392, "top_left_x": 0.8459, "top_left_y": 0.7767}}, {"word": "previous", "bounding_box": {"width": 0.0522, "height": 0.0552, "top_left_x": 0.7919, "top_left_y": 0.8069}}, {"word": "my", "bounding_box": {"width": 0.0202, "height": 0.025, "top_left_x": 0.7664, "top_left_y": 0.8454}}, {"word": "in", "bounding_box": {"width": 0.0173, "height": 0.0219, "top_left_x": 0.7475, "top_left_y": 0.8577}}, {"word": "recognized", "bounding_box": {"width": 0.0723, "height": 0.0656, "top_left_x": 0.6723, "top_left_y": 0.864}}, {"word": "he", "bounding_box": {"width": 0.0197, "height": 0.0187, "top_left_x": 0.6502, "top_left_y": 0.9231}}, {"word": "what", "bounding_box": {"width": 0.0381, "height": 0.0302, "top_left_x": 0.6116, "top_left_y": 0.9348}}, {"word": "listeners,", "bounding_box": {"width": 0.0623, "height": 0.0477, "top_left_x": 0.6033, "top_left_y": 0.8935}}, {"word": "Jacques-Alain A", "bounding_box": {"width": 0.0955, "height": 0.0825, "top_left_x": 0.6684, "top_left_y": 0.8267}}, {"word": "Miller,", "bounding_box": {"width": 0.0428, "height": 0.0404, "top_left_x": 0.7659, "top_left_y": 0.7998}}, {"word": "give", "bounding_box": {"width": 0.028, "height": 0.0348, "top_left_x": 0.8348, "top_left_y": 0.7675}}, {"word": "an", "bounding_box": {"width": 0.0203, "height": 0.0231, "top_left_x": 0.8637, "top_left_y": 0.7573}}, {"word": "excellent", "bounding_box": {"width": 0.055, "height": 0.0487, "top_left_x": 0.8841, "top_left_y": 0.7188}}, {"word": "outline", "bounding_box": {"width": 0.0453, "height": 0.0354, "top_left_x": 0.9409, "top_left_y": 0.6929}}, {"word": "o", "bounding_box": {"width": 0.0141, "height": 0.0277, "top_left_x": 0.9867, "top_left_y": 0.6737}}, {"word": "my", "bounding_box": {"width": 0.0192, "height": 0.0244, "top_left_x": 0.9747, "top_left_y": 0.6571}}, {"word": "of", "bounding_box": {"width": 0.0145, "height": 0.0277, "top_left_x": 0.9548, "top_left_y": 0.666}}, {"word": "one", "bounding_box": {"width": 0.0256, "height": 0.029, "top_left_x": 0.9264, "top_left_y": 0.6846}}, {"word": "for", "bounding_box": {"width": 0.0192, "height": 0.0225, "top_left_x": 0.9023, "top_left_y": 0.7027}}, {"word": "opportunity", "bounding_box": {"width": 0.0742, "height": 0.0656, "top_left_x": 0.8247, "top_left_y": 0.7123}}, {"word": "an", "bounding_box": {"width": 0.0202, "height": 0.0231, "top_left_x": 0.8002, "top_left_y": 0.7656}}, {"word": "provided", "bounding_box": {"width": 0.0575, "height": 0.0623, "top_left_x": 0.7369, "top_left_y": 0.7721}}, {"word": "gap", "bounding_box": {"width": 0.0305, "height": 0.0367, "top_left_x": 0.7027, "top_left_y": 0.8204}}, {"word": "a", "bounding_box": {"width": 0.0095, "height": 0.0194, "top_left_x": 0.6878, "top_left_y": 0.8408}}, {"word": "of", "bounding_box": {"width": 0.0183, "height": 0.029, "top_left_x": 0.6666, "top_left_y": 0.8448}}, {"word": "STRUCTURE", "bounding_box": {"width": 0.0666, "height": 0.0494, "top_left_x": 0.597, "top_left_y": 0.8654}}, {"word": "the", "bounding_box": {"width": 0.0212, "height": 0.0219, "top_left_x": 0.9675, "top_left_y": 0.6352}}, {"word": "through", "bounding_box": {"width": 0.0511, "height": 0.0475, "top_left_x": 0.9134, "top_left_y": 0.6417}}, {"word": "unconscious", "bounding_box": {"width": 0.0786, "height": 0.0565, "top_left_x": 0.833, "top_left_y": 0.6796}}, {"word": "THE ", "bounding_box": {"width": 0.0245, "height": 0.0258, "top_left_x": 0.8073, "top_left_y": 0.7296}}, {"word": "of", "bounding_box": {"width": 0.0178, "height": 0.0256, "top_left_x": 0.7886, "top_left_y": 0.7381}}, {"word": "introduction", "bounding_box": {"width": 0.0839, "height": 0.0604, "top_left_x": 0.7013, "top_left_y": 0.7567}}, {"word": "my", "bounding_box": {"width": 0.0217, "height": 0.0252, "top_left_x": 0.6756, "top_left_y": 0.81}}, {"word": "NECK ", "bounding_box": {"width": 0.0367, "height": 0.0398, "top_left_x": 0.6308, "top_left_y": 0.8229}}, {"word": "Last", "bounding_box": {"width": 0.0338, "height": 0.0275, "top_left_x": 0.5917, "top_left_y": 0.859}}, {"word": "hysteric", "bounding_box": {"width": 0.0411, "height": 0.0423, "top_left_x": 0.8787, "top_left_y": 0.615}}, {"word": "the", "bounding_box": {"width": 0.0183, "height": 0.0231, "top_left_x": 0.8586, "top_left_y": 0.6412}}, {"word": "OF", "bounding_box": {"width": 0.0116, "height": 0.0342, "top_left_x": 0.8441, "top_left_y": 0.649}}, {"word": "desire", "bounding_box": {"width": 0.0333, "height": 0.0329, "top_left_x": 0.8075, "top_left_y": 0.6631}}, {"word": "The", "bounding_box": {"width": 0.0241, "height": 0.0271, "top_left_x": 0.78, "top_left_y": 0.685}}, {"word": "Cortesian", "bounding_box": {"width": 0.0589, "height": 0.0521, "top_left_x": 0.7153, "top_left_y": 0.7017}}, {"word": "BRTAND", "bounding_box": {"width": 0.0347, "height": 0.041, "top_left_x": 0.6753, "top_left_y": 0.7352}}, {"word": "revised", "bounding_box": {"width": 0.0342, "height": 0.0417, "top_left_x": 0.928, "top_left_y": 0.5546}}, {"word": "to", "bounding_box": {"width": 0.015, "height": 0.0167, "top_left_x": 0.8947, "top_left_y": 0.5956}}, {"word": "HAS", "bounding_box": {"width": 0.0189, "height": 0.024, "top_left_x": 0.8725, "top_left_y": 0.6052}}, {"word": "theory", "bounding_box": {"width": 0.0333, "height": 0.029, "top_left_x": 0.8364, "top_left_y": 0.6181}}, {"word": "all", "bounding_box": {"width": 0.0159, "height": 0.0302, "top_left_x": 0.817, "top_left_y": 0.6317}}, {"word": "That", "bounding_box": {"width": 0.0305, "height": 0.0283, "top_left_x": 0.7828, "top_left_y": 0.6496}}, {"word": "CLINICAL", "bounding_box": {"width": 0.0356, "height": 0.0404, "top_left_x": 0.7352, "top_left_y": 0.669}}, {"word": "is", "bounding_box": {"width": 0.0141, "height": 0.0187, "top_left_x": 0.7172, "top_left_y": 0.6985}}, {"word": "unconscious", "bounding_box": {"width": 0.0675, "height": 0.0506, "top_left_x": 0.6512, "top_left_y": 0.7102}}, {"word": "the", "bounding_box": {"width": 0.0197, "height": 0.0256, "top_left_x": 0.6305, "top_left_y": 0.7475}}, {"word": "status", "bounding_box": {"width": 0.0342, "height": 0.0367, "top_left_x": 0.5727, "top_left_y": 0.7737}}, {"word": "The", "bounding_box": {"width": 0.0252, "height": 0.0238, "top_left_x": 0.9395, "top_left_y": 0.534}}, {"word": "desire", "bounding_box": {"width": 0.0338, "height": 0.0315, "top_left_x": 0.8962, "top_left_y": 0.554}}, {"word": "THE", "bounding_box": {"width": 0.0264, "height": 0.0265, "top_left_x": 0.8639, "top_left_y": 0.575}}, {"word": "desire", "bounding_box": {"width": 0.0338, "height": 0.036, "top_left_x": 0.8228, "top_left_y": 0.5931}}, {"word": "of", "bounding_box": {"width": 0.015, "height": 0.0354, "top_left_x": 0.8045, "top_left_y": 0.6092}}, {"word": "Finitude", "bounding_box": {"width": 0.0467, "height": 0.045, "top_left_x": 0.7534, "top_left_y": 0.6252}}, {"word": "not", "bounding_box": {"width": 0.0203, "height": 0.025, "top_left_x": 0.6598, "top_left_y": 0.6979}}, {"word": "being", "bounding_box": {"width": 0.0338, "height": 0.0315, "top_left_x": 0.6184, "top_left_y": 0.7179}}, {"word": "Neither", "bounding_box": {"width": 0.0458, "height": 0.0385, "top_left_x": 0.5678, "top_left_y": 0.741}}, {"word": "OF", "bounding_box": {"width": 0.0328, "height": 0.0367, "top_left_x": 0.6695, "top_left_y": 0.615}}, {"word": "OF", "bounding_box": {"width": 0.0323, "height": 0.0398, "top_left_x": 0.6502, "top_left_y": 0.5802}}], "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 [182, 108, 224, 126] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "ROAD"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 480, "image_height": 640, "bbox": [182, 108, 224, 126], "raw_data": {"coco_file_name": "COCO_train2014_000000460880.jpg", "image_id": "460880", "caption": ["A tall white traffic sign next to a side walk.", "Grassy sidewalk with a Road Ahead street sign.", "A small sign is standing next to a side walk. ", "Yellow Road Ahead sign in grass near sidewalk.", "an extremely small \"road ahead\" sing in the grass"], "ocr_tokens": ["ROAD", "AHEAD"], "ocr_info": [{"word": "ROAD", "bounding_box": {"width": 0.0862, "height": 0.0267, "top_left_x": 0.381, "top_left_y": 0.1702}}, {"word": "AHEAD", "bounding_box": {"width": 0.1146, "height": 0.0278, "top_left_x": 0.3646, "top_left_y": 0.207}}], "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 [30, 246, 82, 269] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "NORTH"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 480, "image_height": 640, "bbox": [30, 246, 82, 269], "raw_data": {"coco_file_name": "COCO_train2014_000000517910.jpg", "image_id": "517910", "caption": ["A street light and a cart in a building.", "A \"North Chicago Street Railroad\" trolly inside a building. ", "An antique train caboose from Chicago displayed in a warehouse.", "A yellow train car sitting inside of a large building.", "A train trolly parked in a covered station."], "ocr_tokens": ["NORTH", "HICAGO", "STREET", "ALL", "ROAD", "8"], "ocr_info": [{"word": "NORTH", "bounding_box": {"width": 0.1077, "height": 0.0362, "top_left_x": 0.0635, "top_left_y": 0.3845}}, {"word": "HICAGO", "bounding_box": {"width": 0.2508, "height": 0.0525, "top_left_x": 0.1825, "top_left_y": 0.3495}}, {"word": "STREET", "bounding_box": {"width": 0.1071, "height": 0.0536, "top_left_x": 0.0821, "top_left_y": 0.61}}, {"word": "ALL", "bounding_box": {"width": 0.0648, "height": 0.0439, "top_left_x": 0.231, "top_left_y": 0.6558}}, {"word": "ROAD", "bounding_box": {"width": 0.1469, "height": 0.0716, "top_left_x": 0.2965, "top_left_y": 0.6745}}, {"word": "8", "bounding_box": {"width": 0.0323, "height": 0.0489, "top_left_x": 0.8494, "top_left_y": 0.652}}], "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 [168, 267, 228, 281] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "red C n"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 431, "image_height": 640, "bbox": [168, 267, 228, 281], "raw_data": {"coco_file_name": "COCO_train2014_000000514558.jpg", "image_id": "514558", "caption": ["A baseball player stretching on base during a game.", "A baseball player is standing on the field while another is stretching as people in the background watch.", "A man in a red and white baseball uniform stretching next to two other baseball players on a field. ", "Red is the dominate color in the stands as a baseball player wearing red and white balances on one leg on the field.", "A baseball player who is doing some stretching."], "ocr_tokens": ["red C n", "35"], "ocr_info": [{"word": "red C n", "bounding_box": {"width": 0.1383, "height": 0.022, "top_left_x": 0.3916, "top_left_y": 0.4178}}, {"word": "35", "bounding_box": {"width": 0.0223, "height": 0.0138, "top_left_x": 0.7306, "top_left_y": 0.2278}}], "image_width": 431, "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 [441, 355, 453, 373] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "GE"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 500, "image_height": 380, "bbox": [441, 355, 453, 373], "raw_data": {"coco_file_name": "COCO_train2014_000000197713.jpg", "image_id": "197713", "caption": ["A man holds a hot dog up to the camera.", "a man is holding up some food in a bun", "A man shows the camera a hot dog covered in toppings. ", "A man holds up a hot dog covered in toppings.", "Man showing off hot dog on a roll with lots of condiments."], "ocr_tokens": ["GE", "COUNTY", "Bee"], "ocr_info": [{"word": "GE", "bounding_box": {"width": 0.025, "height": 0.0474, "top_left_x": 0.8822, "top_left_y": 0.9361}}, {"word": "COUNTY", "bounding_box": {"width": 0.062, "height": 0.0776, "top_left_x": 0.8922, "top_left_y": 0.8689}}, {"word": "Bee", "bounding_box": {"width": 0.0352, "height": 0.0276, "top_left_x": 0.9554, "top_left_y": 0.8642}}], "image_width": 500, "image_height": 380}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [319, 166, 335, 172] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "UNITED"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 408, "bbox": [319, 166, 335, 172], "raw_data": {"coco_file_name": "COCO_train2014_000000212589.jpg", "image_id": "212589", "caption": ["A black-and-white photo of a propeller plane on the runway.", "A propeller powered airplane parked on the ground", "Black and white photo of airplane parked on runway.", "A large propeller plane sitting on top of an airport tarmac.", "THERE IS A PLANE THAT IS PARKED ON THE RUN WAY"], "ocr_tokens": ["UNITED", "STATES", "AIR", "FORCE", "AS"], "ocr_info": [{"word": "UNITED", "bounding_box": {"width": 0.0252, "height": 0.0159, "top_left_x": 0.4994, "top_left_y": 0.4071}}, {"word": "STATES", "bounding_box": {"width": 0.0287, "height": 0.0164, "top_left_x": 0.5259, "top_left_y": 0.4025}}, {"word": "AIR", "bounding_box": {"width": 0.0145, "height": 0.0135, "top_left_x": 0.5556, "top_left_y": 0.401}}, {"word": "FORCE", "bounding_box": {"width": 0.0214, "height": 0.0174, "top_left_x": 0.5708, "top_left_y": 0.3961}}, {"word": "AS", "bounding_box": {"width": 0.2131, "height": 0.0488, "top_left_x": -0.0016, "top_left_y": 0.7647}}], "image_width": 640, "image_height": 408}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [344, 80, 370, 87] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "OHLO"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 409, "bbox": [344, 80, 370, 87], "raw_data": {"coco_file_name": "COCO_train2014_000000020839.jpg", "image_id": "20839", "caption": ["A street with many traffic lights, cars and buildings around.", "A street is running down the middle of some buildings.", "A street intersection with street lights in a small town.", "Green traffic lights at an empty intersection in a small town.", "Streets with street signs and buildings on the sides of the streets."], "ocr_tokens": ["OHLO", "TROY", "41"], "ocr_info": [{"word": "OHLO", "bounding_box": {"width": 0.0405, "height": 0.0161, "top_left_x": 0.5381, "top_left_y": 0.198}}, {"word": "TROY", "bounding_box": {"width": 0.0433, "height": 0.0152, "top_left_x": 0.4859, "top_left_y": 0.1993}}, {"word": "41", "bounding_box": {"width": 0.0136, "height": 0.0244, "top_left_x": 0.9675, "top_left_y": 0.5663}}], "image_width": 640, "image_height": 409}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [406, 196, 498, 221] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "FedEX"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 416, "bbox": [406, 196, 498, 221], "raw_data": {"coco_file_name": "COCO_train2014_000000311776.jpg", "image_id": "311776", "caption": ["A business airplane parked on an airport runway.", "A FedEx jet plane on the tarmac with people seated and walking nearby.", "A large FedEx jet sitting on top of an airport tarmac.", "a large airplane that is parked on a runway", "Plane on tarmac near pickup track by group of people in lawnchairs."], "ocr_tokens": ["FedEX", "FedEx", "FedEX"], "ocr_info": [{"word": "FedEX", "bounding_box": {"width": 0.1441, "height": 0.0613, "top_left_x": 0.6345, "top_left_y": 0.4712}}, {"word": "FedEx", "bounding_box": {"width": 0.065, "height": 0.0368, "top_left_x": 0.178, "top_left_y": 0.4031}}, {"word": "FedEX", "bounding_box": {"width": 0.0991, "height": 0.0555, "top_left_x": 0.145, "top_left_y": 0.5123}}], "image_width": 640, "image_height": 416}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [389, 587, 626, 609] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "BRYANELKUS.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": 634, "bbox": [389, 587, 626, 609], "raw_data": {"coco_file_name": "COCO_train2014_000000013278.jpg", "image_id": "13278", "caption": ["A man doing a trick on a skateboard on a ramp.", "A man riding a skateboard on top of a ramp.", "A skateboarder is doing a stunt on a railing.", "A man riding on a skateboarding doing a trick.", "a boy doing a trick in the air on a skate board on a skate ramp "], "ocr_tokens": ["BRYANELKUS.COM"], "ocr_info": [{"word": "BRYANELKUS.COM", "bounding_box": {"width": 0.3698, "height": 0.0334, "top_left_x": 0.6089, "top_left_y": 0.9274}}], "image_width": 640, "image_height": 634}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [27, 631, 50, 638] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Civello"}
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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": [27, 631, 50, 638], "raw_data": {"coco_file_name": "COCO_train2014_000000579057.jpg", "image_id": "579057", "caption": ["A glass bowl with bananas, oranges, and pears", "bananas, clementines, and pears in a clear glass bowl", "Various fruits are presented in a glass bowl.", "A bowl of fruit including oranges, bananas and apples.", "Bananas and oranges and apples in a container."], "ocr_tokens": ["Civello"], "ocr_info": [{"word": "Civello", "bounding_box": {"width": 0.0559, "height": 0.01, "top_left_x": 0.0636, "top_left_y": 0.9872}}], "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 [561, 201, 567, 210] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "1"}
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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": [561, 201, 567, 210], "raw_data": {"coco_file_name": "COCO_train2014_000000174440.jpg", "image_id": "174440", "caption": ["A man standing on the side of a blue boat in a large body of water.", "A person stands next to a boat on the water.", "A blue sail boat with floats on the side", "A man on a blue boat in a body of water.", "A man holds on to a blue boat while it floats in the water."], "ocr_tokens": ["1", "EYMART", "ExcitingCebu.com"], "ocr_info": [{"word": "1", "bounding_box": {"width": 0.0086, "height": 0.022, "top_left_x": 0.8778, "top_left_y": 0.4721}}, {"word": "EYMART", "bounding_box": {"width": 0.0647, "height": 0.0286, "top_left_x": 0.8116, "top_left_y": 0.4731}}, {"word": "ExcitingCebu.com", "bounding_box": {"width": 0.3105, "height": 0.0548, "top_left_x": 0.053, "top_left_y": 0.9454}}], "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 [37, 168, 155, 323] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Wilson"}
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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": [37, 168, 155, 323], "raw_data": {"coco_file_name": "COCO_train2014_000000155790.jpg", "image_id": "155790", "caption": ["a brown baseball glove and a white baseball", "A new baseball inside of a baseball glove.", "A baseball mitt holds a baseball in the center of it. ", "A baseball mitt with a baseball sitting inside of it.", "a baseball and glove that is on a table"], "ocr_tokens": ["Wilson", "2000", "SHEA"], "ocr_info": [{"word": "Wilson", "bounding_box": {"width": 0.1837, "height": 0.3607, "top_left_x": 0.0591, "top_left_y": 0.3942}}, {"word": "2000", "bounding_box": {"width": 0.0302, "height": 0.0227, "top_left_x": 0.4909, "top_left_y": 0.5439}}, {"word": "SHEA", "bounding_box": {"width": 0.0225, "height": 0.0706, "top_left_x": 0.4416, "top_left_y": 0.4734}}], "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 [390, 150, 416, 160] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "UNITED"}
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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": [390, 150, 416, 160], "raw_data": {"coco_file_name": "COCO_train2014_000000550049.jpg", "image_id": "550049", "caption": ["A couple of tennis players standing on a tennis court.", "Spectators watching a professional tennis match on a blue clay court", "An aerial view of a tennis court shows two men playing tennis.", "a tennis match with a crowd of people in the stands.", "A tennis match from above with a large crowd of spectators."], "ocr_tokens": ["UNITED", "F"], "ocr_info": [{"word": "UNITED", "bounding_box": {"width": 0.0392, "height": 0.0208, "top_left_x": 0.6108, "top_left_y": 0.3127}}, {"word": "F", "bounding_box": {"width": 0.0203, "height": 0.025, "top_left_x": 0.8277, "top_left_y": 0.976}}], "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 [300, 89, 329, 106] 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": 640, "image_height": 480, "bbox": [300, 89, 329, 106], "raw_data": {"coco_file_name": "COCO_train2014_000000209176.jpg", "image_id": "209176", "caption": ["Cars are parked on either side of an avenue.", "A street sign on a corner of a street lined with cars.", "Many different cars parked on a city street.", "Street corner with sign, fence and various cars.", "A photograph of a speed limit sign displaying \"20 Twenty's Plenty.\""], "ocr_tokens": ["20", "Twenty's", "Plenty", "LHPX", "SF5"], "ocr_info": [{"word": "20", "bounding_box": {"width": 0.0441, "height": 0.0346, "top_left_x": 0.4702, "top_left_y": 0.1873}}, {"word": "Twenty's", "bounding_box": {"width": 0.068, "height": 0.0212, "top_left_x": 0.4592, "top_left_y": 0.254}}, {"word": "Plenty", "bounding_box": {"width": 0.05, "height": 0.0267, "top_left_x": 0.4642, "top_left_y": 0.2698}}, {"word": "LHPX", "bounding_box": {"width": 0.0261, "height": 0.0196, "top_left_x": 0.5523, "top_left_y": 0.6854}}, {"word": "SF5", "bounding_box": {"width": 0.0261, "height": 0.0198, "top_left_x": 0.5266, "top_left_y": 0.6894}}], "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 [115, 279, 225, 395] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "terS 3"}
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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": [115, 279, 225, 395], "raw_data": {"coco_file_name": "COCO_train2014_000000301247.jpg", "image_id": "301247", "caption": ["A baseball player pitching a ball on a baseball field.", "a man in uniform is throwing a baseball outside", "A baseball player throwing a baseball on the field. ", "A man holding a baseball with gloves on his left hand", "A baseball player holding his arm up with a ball in his hand."], "ocr_tokens": ["terS 3", "3"], "ocr_info": [{"word": "terS 3", "bounding_box": {"width": 0.2589, "height": 0.1814, "top_left_x": 0.2702, "top_left_y": 0.4373}}, {"word": "3", "bounding_box": {"width": 0.0732, "height": 0.0548, "top_left_x": 0.5002, "top_left_y": 0.4994}}], "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 [180, 168, 215, 195] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Discover"}
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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": [180, 168, 215, 195], "raw_data": {"coco_file_name": "COCO_train2014_000000283309.jpg", "image_id": "283309", "caption": ["A commuter train passing by a field of wild flowers.", "a white and blue bus is by the grass", "a train on a track near many trees ", "a train rides up a hill of grass and dandelions", "A train that is sitting near the grass."], "ocr_tokens": ["Discover", "TV", "TV", "SMART", "SAMSUNG", "love", "you", "the", "of", "more"], "ocr_info": [{"word": "Discover", "bounding_box": {"width": 0.055, "height": 0.0631, "top_left_x": 0.2825, "top_left_y": 0.3948}}, {"word": "TV", "bounding_box": {"width": 0.0159, "height": 0.0376, "top_left_x": 0.4066, "top_left_y": 0.4819}}, {"word": "TV", "bounding_box": {"width": 0.022, "height": 0.0465, "top_left_x": 0.4005, "top_left_y": 0.4324}}, {"word": "SMART", "bounding_box": {"width": 0.0781, "height": 0.0857, "top_left_x": 0.3234, "top_left_y": 0.3723}}, {"word": "SAMSUNG", "bounding_box": {"width": 0.0441, "height": 0.0526, "top_left_x": 0.4805, "top_left_y": 0.5451}}, {"word": "love", "bounding_box": {"width": 0.018, "height": 0.0322, "top_left_x": 0.4431, "top_left_y": 0.515}}, {"word": "you", "bounding_box": {"width": 0.018, "height": 0.0235, "top_left_x": 0.4217, "top_left_y": 0.5089}}, {"word": "the", "bounding_box": {"width": 0.0186, "height": 0.0296, "top_left_x": 0.3881, "top_left_y": 0.4749}}, {"word": "of", "bounding_box": {"width": 0.0184, "height": 0.019, "top_left_x": 0.3714, "top_left_y": 0.4681}}, {"word": "more", "bounding_box": {"width": 0.0336, "height": 0.0373, "top_left_x": 0.3395, "top_left_y": 0.4437}}], "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 [317, 111, 365, 139] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "TORBAY"}
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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": [317, 111, 365, 139], "raw_data": {"coco_file_name": "COCO_train2014_000000473195.jpg", "image_id": "473195", "caption": ["There is a full view of an outdoor area and it is nice.\n", "Two trains on tracks, stopped at a train stop.", "A train on the tracks leaving a train station", "Old time train at station next to blue commuter train.", "two trains parked next to a station on the tracks"], "ocr_tokens": ["TORBAY", "EXPRESS", "34046"], "ocr_info": [{"word": "TORBAY", "bounding_box": {"width": 0.075, "height": 0.0646, "top_left_x": 0.4955, "top_left_y": 0.2616}}, {"word": "EXPRESS", "bounding_box": {"width": 0.077, "height": 0.0749, "top_left_x": 0.5884, "top_left_y": 0.2663}}, {"word": "34046", "bounding_box": {"width": 0.052, "height": 0.0255, "top_left_x": 0.5534, "top_left_y": 0.3141}}], "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 [260, 169, 281, 188] 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": 424, "bbox": [260, 169, 281, 188], "raw_data": {"coco_file_name": "COCO_train2014_000000564302.jpg", "image_id": "564302", "caption": ["A large chair sitting on top of a hard wood floor.", "A living area with a desk, chairs and a dry erase board.", "A room with a couple desks, chairs and computer equipment.", "There are two computer desk in the same room with two different chairs", "A picture of home office space of two people."], "ocr_tokens": ["30"], "ocr_info": [{"word": "30", "bounding_box": {"width": 0.0322, "height": 0.0429, "top_left_x": 0.4072, "top_left_y": 0.4007}}], "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 [8, 133, 28, 140] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "ATM"}
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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": [8, 133, 28, 140], "raw_data": {"coco_file_name": "COCO_train2014_000000559288.jpg", "image_id": "559288", "caption": ["A camouflage truck parked near the sidewalk", "A SUV painted in camouflage parked on the side of a road.", "A number of vehicles parked on the side of a street, one with army paint.", "An SUV, and cars park on a city street while pedestrians walk.", "An army vehicle is parked on a city street."], "ocr_tokens": ["ATM"], "ocr_info": [{"word": "ATM", "bounding_box": {"width": 0.0308, "height": 0.0203, "top_left_x": 0.0133, "top_left_y": 0.3706}}], "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 [176, 242, 195, 249] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Triumph"}
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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": [176, 242, 195, 249], "raw_data": {"coco_file_name": "COCO_train2014_000000261597.jpg", "image_id": "261597", "caption": ["A group of motorcycles parked in a room with wall hangings.", "A yellow and black bike is sitting indoors. ", "The motorcycle is in the garage by the flag", "The room has a number of bikes, as well as bike-related items, and artwork in it. ", "A couple of motorcycles parked inside of a garage."], "ocr_tokens": ["Triumph", "THE", "ADE"], "ocr_info": [{"word": "Triumph", "bounding_box": {"width": 0.0309, "height": 0.015, "top_left_x": 0.2753, "top_left_y": 0.5058}}, {"word": "THE", "bounding_box": {"width": 0.0891, "height": 0.0587, "top_left_x": 0.6863, "top_left_y": 0.4206}}, {"word": "ADE", "bounding_box": {"width": 0.0886, "height": 0.0612, "top_left_x": 0.5725, "top_left_y": 0.4917}}], "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 [281, 158, 310, 199] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "P"}
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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": [281, 158, 310, 199], "raw_data": {"coco_file_name": "COCO_train2014_000000532779.jpg", "image_id": "532779", "caption": ["A lot of different blue street signs in a close area.", "Many different signs that are colored blue are near a green traffic light. ", "A street corner with six different posts with street signs.", "Various blue and white signs and a traffic light.", "A group of parking signs sitting on the side of a street."], "ocr_tokens": ["P", "P", " I", "8", "10", "20h", "VI", "50", "20"], "ocr_info": [{"word": "P", "bounding_box": {"width": 0.0584, "height": 0.1247, "top_left_x": 0.563, "top_left_y": 0.4768}}, {"word": "P", "bounding_box": {"width": 0.0386, "height": 0.081, "top_left_x": 0.4076, "top_left_y": 0.6039}}, {"word": " I", "bounding_box": {"width": 0.005, "height": 0.0193, "top_left_x": 0.4112, "top_left_y": 0.7678}}, {"word": "8", "bounding_box": {"width": 0.0096, "height": 0.0196, "top_left_x": 0.405, "top_left_y": 0.7883}}, {"word": "10", "bounding_box": {"width": 0.013, "height": 0.0175, "top_left_x": 0.3974, "top_left_y": 0.7199}}, {"word": "20h", "bounding_box": {"width": 0.0292, "height": 0.0232, "top_left_x": 0.4204, "top_left_y": 0.7867}}, {"word": "VI", "bounding_box": {"width": 0.0168, "height": 0.0205, "top_left_x": 0.4244, "top_left_y": 0.7651}}, {"word": "50", "bounding_box": {"width": 0.0216, "height": 0.019, "top_left_x": 0.4308, "top_left_y": 0.7196}}, {"word": "20", "bounding_box": {"width": 0.0158, "height": 0.0196, "top_left_x": 0.4126, "top_left_y": 0.7172}}], "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 [172, 23, 212, 35] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "10.500"}
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fine-grained text recognition en
|
COCO-Text
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{"image_width": 338, "image_height": 450, "bbox": [172, 23, 212, 35], "raw_data": {"coco_file_name": "COCO_train2014_000000069200.jpg", "image_id": "69200", "caption": ["A view of a bunch of a kitchenware in a shop setting.", "A curio cabinet with a toaster oven and coffee pot as well as decoratives", "Glass shelves with assortment of items on display.", "a couple of shelves that have some stuff on them", "Many appliances and knick knacks on glass shelves"], "ocr_tokens": ["10.500"], "ocr_info": [{"word": "10.500", "bounding_box": {"width": 0.1166, "height": 0.0262, "top_left_x": 0.5115, "top_left_y": 0.0524}}], "image_width": 338, "image_height": 450}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [189, 272, 237, 297] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "CLiVE"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 426, "image_height": 640, "bbox": [189, 272, 237, 297], "raw_data": {"coco_file_name": "COCO_train2014_000000353893.jpg", "image_id": "353893", "caption": ["A person is placing a sparkler on top of a dragon cake. ", "A dog that is standing underneath a table.", "A dragon cake is on the table with a sparkler on it.", "Someone man a birthday boy a cake with a green dragon on it.", "A dog sits under a table with a cake on it."], "ocr_tokens": ["CLiVE", "HAPPY", "18", "BIRTHDAY"], "ocr_info": [{"word": "CLiVE", "bounding_box": {"width": 0.1124, "height": 0.0398, "top_left_x": 0.4441, "top_left_y": 0.4255}}, {"word": "HAPPY", "bounding_box": {"width": 0.0667, "height": 0.05, "top_left_x": 0.3754, "top_left_y": 0.3703}}, {"word": "18", "bounding_box": {"width": 0.0345, "height": 0.0169, "top_left_x": 0.4516, "top_left_y": 0.3636}}, {"word": "BIRTHDAY", "bounding_box": {"width": 0.1289, "height": 0.0666, "top_left_x": 0.5007, "top_left_y": 0.3741}}], "image_width": 426, "image_height": 640}}
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