ViRFT Datasets
Collection
ViRFT Datasets
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8 items
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Updated
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5
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imagewidth (px) 427
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Detect all objects belonging to the category 'bed' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'bed' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [0, 568, 1000, 985], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'bed' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'bed' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [0, 0, 1000, 1000], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'bed' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'bed' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [517, 325, 999, 999], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'bed' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'bed' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [444, 556, 519, 731], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'bus' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'bus' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [302, 0, 590, 680], 'Confidence': 1}, {'Position': [853, 53, 999, 511], 'Confidence': 1}, {'Position': [616, 130, 671, 222], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'bus' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'bus' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [787, 545, 999, 840], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'bus' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'bus' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [1, 366, 344, 657], 'Confidence': 1}]</answer> |
|
Detect all objects belonging to the category 'bus' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'bus' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [573, 525, 716, 678], 'Confidence': 1}, {'Position': [0, 512, 515, 744], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'cat' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'cat' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [722, 235, 810, 318], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'cat' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'cat' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [0, 249, 1000, 812], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'cat' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'cat' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [454, 140, 607, 281], 'Confidence': 1}]</answer> |
|
Detect all objects belonging to the category 'cat' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'cat' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [388, 289, 701, 923], 'Confidence': 1}, {'Position': [818, 111, 987, 382], 'Confidence': 1}, {'Position': [562, 242, 716, 372], 'Confidence': 1}, {'Position': [303, 249, 443, 530], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'dog' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'dog' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [464, 471, 515, 572], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'dog' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'dog' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [183, 238, 868, 831], 'Confidence': 1}]</answer> |
|
Detect all objects belonging to the category 'dog' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'dog' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [430, 220, 855, 731], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'dog' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'dog' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [263, 393, 474, 905], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'fire hydrant' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'fire hydrant' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [121, 851, 133, 897], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'fire hydrant' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'fire hydrant' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [925, 758, 976, 853], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'fire hydrant' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'fire hydrant' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [889, 610, 943, 774], 'Confidence': 1}, {'Position': [14, 670, 43, 751], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'fire hydrant' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'fire hydrant' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [915, 671, 918, 691], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'stop sign' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'stop sign' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [560, 136, 576, 159], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'stop sign' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'stop sign' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [457, 342, 536, 454], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'stop sign' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'stop sign' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [31, 222, 242, 480], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'stop sign' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'stop sign' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [543, 24, 650, 205], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'toilet' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'toilet' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [43, 469, 134, 662], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'toilet' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'toilet' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [674, 689, 897, 888], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'toilet' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'toilet' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [567, 487, 681, 748], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'toilet' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'toilet' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [121, 188, 882, 970], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'train' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'train' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [0, 124, 1000, 587], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'train' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'train' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [39, 204, 247, 300], 'Confidence': 1}]</answer> |
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Detect all objects belonging to the category 'train' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'train' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [261, 623, 645, 971], 'Confidence': 1}]</answer> |
|
Detect all objects belonging to the category 'train' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places).
If no object belonging to the category 'train' in the image, return 'No Objects'.
Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows:
<think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer>
Please strictly follow the format. | <answer>[{'Position': [1, 478, 339, 567], 'Confidence': 1}]</answer> |
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