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Detect all objects belonging to the category 'pizza' 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 'pizza' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'clock' 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 'clock' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'suitcase' 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 'suitcase' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'orange' 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 'orange' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'boat' 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 'boat' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'skis' 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 'skis' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'baseball glove' 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 'baseball glove' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'sandwich' 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 'sandwich' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'motorcycle' 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 'motorcycle' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'couch' 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 'couch' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'cow' 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 'cow' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'scissors' 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 'scissors' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'chair' 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 'chair' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'refrigerator' 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 'refrigerator' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'parking meter' 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 'parking meter' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'suitcase' 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 'suitcase' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'bear' 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 'bear' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'sink' 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 'sink' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'car' 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 'car' 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>No Objects</answer> |
|
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>No Objects</answer> |
|
Detect all objects belonging to the category 'bicycle' 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 'bicycle' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'surfboard' 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 'surfboard' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'bench' 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 'bench' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'suitcase' 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 'suitcase' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'traffic light' 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 'traffic light' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'mouse' 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 'mouse' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'knife' 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 'knife' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'spoon' 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 'spoon' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'chair' 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 'chair' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'dining table' 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 'dining table' 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>No Objects</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>No Objects</answer> |
|
Detect all objects belonging to the category 'giraffe' 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 'giraffe' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'bench' 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 'bench' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'bird' 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 'bird' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'traffic light' 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 'traffic light' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'toaster' 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 'toaster' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'tennis racket' 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 'tennis racket' 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>No Objects</answer> |
|
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>No Objects</answer> |
|
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>No Objects</answer> |
|
Detect all objects belonging to the category 'sports ball' 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 'sports ball' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'cow' 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 'cow' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'sandwich' 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 'sandwich' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'motorcycle' 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 'motorcycle' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'carrot' 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 'carrot' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'frisbee' 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 'frisbee' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'tennis racket' 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 'tennis racket' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'carrot' 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 'carrot' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'cake' 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 'cake' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'elephant' 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 'elephant' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'pizza' 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 'pizza' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'traffic light' 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 'traffic light' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'oven' 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 'oven' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'baseball bat' 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 'baseball bat' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'dining table' 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 'dining table' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'truck' 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 'truck' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'broccoli' 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 'broccoli' 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>No Objects</answer> |
|
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>No Objects</answer> |
|
Detect all objects belonging to the category 'bird' 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 'bird' 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>No Objects</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>No Objects</answer> |
|
Detect all objects belonging to the category 'handbag' 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 'handbag' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'horse' 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 'horse' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'scissors' 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 'scissors' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'backpack' 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 'backpack' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'skateboard' 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 'skateboard' 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>No Objects</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>No Objects</answer> |
|
Detect all objects belonging to the category 'book' 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 'book' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'wine glass' 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 'wine glass' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'knife' 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 'knife' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'apple' 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 'apple' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'tv' 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 'tv' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'boat' 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 'boat' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'skis' 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 'skis' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'pizza' 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 'pizza' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'microwave' 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 'microwave' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'elephant' 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 'elephant' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'dining table' 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 'dining table' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'bird' 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 'bird' 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>No Objects</answer> |
|
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>No Objects</answer> |
|
Detect all objects belonging to the category 'boat' 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 'boat' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'apple' 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 'apple' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'skis' 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 'skis' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'remote' 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 'remote' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'baseball bat' 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 'baseball bat' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'oven' 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 'oven' 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>No Objects</answer> |
|
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>No Objects</answer> |
|
Detect all objects belonging to the category 'teddy bear' 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 'teddy bear' 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>No Objects</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>No Objects</answer> |
|
Detect all objects belonging to the category 'bottle' 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 'bottle' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'bottle' 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 'bottle' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'tv' 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 'tv' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'sheep' 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 'sheep' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'skateboard' 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 'skateboard' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'snowboard' 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 'snowboard' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'tv' 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 'tv' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'zebra' 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 'zebra' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'tie' 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 'tie' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'vase' 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 'vase' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'scissors' 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 'scissors' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'backpack' 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 'backpack' 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>No Objects</answer> |
|
Detect all objects belonging to the category 'potted plant' 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 'potted plant' 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>No Objects</answer> |
Subsets and Splits