CRL-Chunked-Datasets-5.5k
Collection
5 items • Updated
image imagewidth (px) 233 640 | problem stringclasses 79
values | answer stringlengths 27 1.02k |
|---|---|---|
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [174, 51, 619, 895], 'Confidence': 1}, {'Position': [467, 0, 999, 1000], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [171, 485, 343, 880], 'Confidence': 1}, {'Position': [326, 448, 463, 892], 'Confidence': 1}, {'Position': [271, 247, 383, 622], 'Confidence': 1}, {'Position': [70, 270, 185, 567], 'Confidence': 1}, {'Position': [23, 449, 190, 884], 'Confidence': 1}, {'Position': [383, 297, 462, 563], 'Confidence':... | |
Detect all objects belonging to the category 'cell phone' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'cell phone' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> ta... | <answer>[{'Position': [379, 276, 427, 303], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'tv' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'tv' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output an... | <answer>[{'Position': [540, 400, 891, 615], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [15, 287, 380, 999], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [142, 732, 227, 987], 'Confidence': 1}, {'Position': [63, 703, 147, 996], 'Confidence': 1}, {'Position': [911, 724, 991, 996], 'Confidence': 1}, {'Position': [268, 689, 329, 837], 'Confidence': 1}, {'Position': [436, 650, 494, 837], 'Confidence': 1}, {'Position': [519, 662, 596, 831], 'Confidence'... | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [3, 399, 674, 985], 'Confidence': 1}, {'Position': [648, 616, 999, 999], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'bottle' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'bottle' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [600, 378, 693, 544], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'wine glass' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'wine glass' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> ta... | <answer>[{'Position': [22, 28, 313, 832], 'Confidence': 1}, {'Position': [855, 9, 982, 392], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'parking meter' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'parking meter' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answ... | <answer>[{'Position': [177, 98, 646, 949], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'vase' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'vase' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The outpu... | <answer>[{'Position': [668, 611, 701, 657], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'tv' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'tv' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output an... | <answer>[{'Position': [92, 4, 815, 224], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [77, 257, 291, 999], 'Confidence': 1}, {'Position': [184, 263, 284, 863], 'Confidence': 1}, {'Position': [239, 371, 432, 989], 'Confidence': 1}, {'Position': [430, 359, 602, 745], 'Confidence': 1}, {'Position': [836, 280, 997, 985], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'scissors' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'scissors' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.T... | <answer>[{'Position': [141, 314, 544, 626], 'Confidence': 1}, {'Position': [0, 385, 92, 642], 'Confidence': 1}, {'Position': [391, 492, 778, 890], 'Confidence': 1}, {'Position': [660, 1, 998, 308], 'Confidence': 1}, {'Position': [451, 1, 712, 163], 'Confidence': 1}, {'Position': [39, 358, 383, 641], 'Confidence': 1}, {... | |
Detect all objects belonging to the category 'kite' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'kite' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The outpu... | <answer>[{'Position': [9, 75, 272, 522], 'Confidence': 1}, {'Position': [336, 152, 645, 465], 'Confidence': 1}, {'Position': [791, 261, 822, 273], 'Confidence': 1}, {'Position': [557, 105, 575, 112], 'Confidence': 1}, {'Position': [901, 270, 913, 274], 'Confidence': 1}, {'Position': [691, 318, 786, 462], 'Confidence': ... | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [112, 347, 178, 648], 'Confidence': 1}, {'Position': [219, 359, 301, 598], 'Confidence': 1}, {'Position': [55, 358, 111, 615], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'car' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'car' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output ... | <answer>[{'Position': [67, 704, 154, 776], 'Confidence': 1}, {'Position': [443, 702, 655, 765], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'couch' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'couch' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [819, 457, 999, 779], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'zebra' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'zebra' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [124, 345, 669, 773], 'Confidence': 1}, {'Position': [309, 223, 669, 575], 'Confidence': 1}, {'Position': [720, 263, 928, 707], 'Confidence': 1}, {'Position': [603, 223, 763, 657], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'cake' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'cake' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The outpu... | <answer>[{'Position': [354, 163, 761, 800], 'Confidence': 1}, {'Position': [57, 345, 322, 661], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'chair' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'chair' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [647, 17, 960, 271], 'Confidence': 1}, {'Position': [559, 3, 664, 217], 'Confidence': 1}, {'Position': [170, 0, 257, 197], 'Confidence': 1}, {'Position': [176, 85, 227, 114], 'Confidence': 1}, {'Position': [529, 2, 574, 120], 'Confidence': 1}, {'Position': [0, 2, 136, 266], 'Confidence': 1}, {'Pos... | |
Detect all objects belonging to the category 'chair' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'chair' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [521, 0, 958, 316], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'cow' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'cow' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output ... | <answer>[{'Position': [317, 149, 987, 999], 'Confidence': 1}, {'Position': [0, 119, 394, 999], 'Confidence': 1}, {'Position': [862, 124, 999, 859], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'remote' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'remote' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [219, 69, 253, 106], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'skateboard' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'skateboard' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> ta... | <answer>[{'Position': [383, 473, 500, 566], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [78, 491, 377, 910], 'Confidence': 1}, {'Position': [326, 512, 476, 765], 'Confidence': 1}, {'Position': [599, 584, 686, 656], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'tie' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'tie' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output ... | <answer>[{'Position': [418, 419, 488, 598], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'refrigerator' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'refrigerator' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer... | <answer>[{'Position': [30, 6, 295, 981], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'boat' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'boat' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The outpu... | <answer>[{'Position': [0, 722, 1000, 997], 'Confidence': 1}, {'Position': [111, 350, 149, 362], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'cake' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'cake' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The outpu... | <answer>[{'Position': [375, 684, 536, 824], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'cake' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'cake' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The outpu... | <answer>[{'Position': [110, 556, 626, 771], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'bear' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'bear' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The outpu... | <answer>[{'Position': [545, 26, 979, 239], 'Confidence': 1}, {'Position': [346, 736, 562, 899], 'Confidence': 1}, {'Position': [522, 715, 750, 918], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'tie' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'tie' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output ... | <answer>[{'Position': [604, 374, 665, 480], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [652, 245, 704, 338], 'Confidence': 1}, {'Position': [965, 220, 999, 341], 'Confidence': 1}, {'Position': [705, 259, 757, 388], 'Confidence': 1}, {'Position': [925, 221, 974, 380], 'Confidence': 1}, {'Position': [852, 306, 890, 361], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'dining table' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'dining table' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer... | <answer>[{'Position': [8, 640, 994, 1000], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'sports ball' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'sports ball' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> ... | <answer>[{'Position': [241, 111, 298, 135], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [117, 12, 999, 996], 'Confidence': 1}, {'Position': [74, 287, 219, 491], 'Confidence': 1}, {'Position': [811, 319, 998, 511], 'Confidence': 1}, {'Position': [99, 170, 437, 997], 'Confidence': 1}, {'Position': [0, 324, 106, 459], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'chair' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'chair' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [198, 324, 743, 768], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'sports ball' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'sports ball' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> ... | <answer>[{'Position': [350, 133, 411, 226], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'traffic light' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'traffic light' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answ... | <answer>[{'Position': [251, 483, 283, 580], 'Confidence': 1}, {'Position': [475, 518, 512, 673], 'Confidence': 1}, {'Position': [883, 323, 936, 468], 'Confidence': 1}, {'Position': [432, 672, 449, 720], 'Confidence': 1}, {'Position': [890, 718, 907, 742], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'baseball glove' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'baseball glove' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </an... | <answer>[{'Position': [885, 855, 898, 885], 'Confidence': 1}, {'Position': [119, 445, 129, 487], 'Confidence': 1}, {'Position': [436, 114, 444, 135], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'chair' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'chair' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [0, 539, 80, 756], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'baseball bat' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'baseball bat' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer... | <answer>[{'Position': [443, 221, 980, 981], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'cell phone' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'cell phone' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> ta... | <answer>[{'Position': [738, 239, 816, 399], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'sports ball' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'sports ball' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> ... | <answer>[{'Position': [389, 516, 406, 530], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'toothbrush' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'toothbrush' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> ta... | <answer>[{'Position': [412, 300, 570, 334], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'wine glass' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'wine glass' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> ta... | <answer>[{'Position': [523, 570, 559, 704], 'Confidence': 1}, {'Position': [589, 587, 629, 729], 'Confidence': 1}, {'Position': [665, 576, 704, 757], 'Confidence': 1}, {'Position': [540, 468, 569, 529], 'Confidence': 1}, {'Position': [547, 605, 579, 725], 'Confidence': 1}, {'Position': [648, 618, 680, 712], 'Confidence... | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [84, 134, 159, 467], 'Confidence': 1}, {'Position': [508, 261, 531, 391], 'Confidence': 1}, {'Position': [532, 248, 589, 398], 'Confidence': 1}, {'Position': [46, 253, 82, 358], 'Confidence': 1}, {'Position': [19, 272, 45, 387], 'Confidence': 1}, {'Position': [161, 174, 230, 372], 'Confidence': 1}... | |
Detect all objects belonging to the category 'umbrella' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'umbrella' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.T... | <answer>[{'Position': [457, 8, 945, 680], 'Confidence': 1}, {'Position': [0, 0, 401, 290], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'couch' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'couch' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [1, 451, 476, 857], 'Confidence': 1}, {'Position': [0, 733, 752, 986], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'spoon' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'spoon' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [696, 216, 905, 307], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'skis' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'skis' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The outpu... | <answer>[{'Position': [386, 692, 573, 896], 'Confidence': 1}, {'Position': [563, 841, 655, 981], 'Confidence': 1}, {'Position': [282, 708, 346, 852], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'cup' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'cup' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output ... | <answer>[{'Position': [760, 550, 808, 624], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'clock' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'clock' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [519, 320, 542, 350], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [390, 725, 416, 859], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'couch' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'couch' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [34, 548, 999, 998], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'cat' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'cat' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output ... | <answer>[{'Position': [656, 286, 810, 704], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'keyboard' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'keyboard' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.T... | <answer>[{'Position': [261, 450, 525, 561], 'Confidence': 1}, {'Position': [587, 416, 729, 473], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [829, 169, 999, 265], 'Confidence': 1}, {'Position': [191, 2, 719, 222], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'chair' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'chair' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [492, 366, 707, 833], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'cake' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'cake' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The outpu... | <answer>[{'Position': [762, 368, 987, 705], 'Confidence': 1}, {'Position': [276, 290, 647, 766], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [159, 602, 269, 699], 'Confidence': 1}, {'Position': [931, 590, 951, 642], 'Confidence': 1}, {'Position': [909, 592, 928, 636], 'Confidence': 1}, {'Position': [381, 596, 438, 677], 'Confidence': 1}, {'Position': [490, 593, 550, 678], 'Confidence': 1}, {'Position': [557, 617, 591, 645], 'Confidence... | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [425, 425, 434, 437], 'Confidence': 1}, {'Position': [848, 341, 856, 356], 'Confidence': 1}, {'Position': [771, 574, 780, 584], 'Confidence': 1}, {'Position': [660, 733, 670, 746], 'Confidence': 1}, {'Position': [631, 416, 636, 423], 'Confidence': 1}, {'Position': [524, 575, 532, 585], 'Confidence... | |
Detect all objects belonging to the category 'frisbee' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'frisbee' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The... | <answer>[{'Position': [522, 469, 543, 553], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'sink' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'sink' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The outpu... | <answer>[{'Position': [294, 911, 365, 940], 'Confidence': 1}, {'Position': [292, 937, 359, 981], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'bench' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'bench' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [0, 345, 652, 634], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'tie' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'tie' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output ... | <answer>[{'Position': [679, 335, 736, 700], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'cup' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'cup' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output ... | <answer>[{'Position': [630, 636, 666, 678], 'Confidence': 1}, {'Position': [662, 632, 713, 675], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'chair' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'chair' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [341, 498, 530, 700], 'Confidence': 1}, {'Position': [319, 782, 653, 988], 'Confidence': 1}, {'Position': [556, 593, 605, 658], 'Confidence': 1}, {'Position': [626, 590, 666, 624], 'Confidence': 1}, {'Position': [754, 774, 801, 826], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [353, 607, 881, 926], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'tennis racket' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'tennis racket' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answ... | <answer>[{'Position': [97, 683, 361, 916], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [267, 204, 657, 754], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'banana' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'banana' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [0, 1, 683, 987], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'spoon' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'spoon' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [749, 614, 999, 793], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [358, 175, 571, 766], 'Confidence': 1}, {'Position': [813, 573, 985, 999], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'bench' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'bench' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [550, 568, 618, 581], 'Confidence': 1}, {'Position': [182, 500, 200, 511], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'bench' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'bench' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [2, 502, 86, 717], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'oven' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'oven' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The outpu... | <answer>[{'Position': [208, 427, 367, 611], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'elephant' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'elephant' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.T... | <answer>[{'Position': [0, 0, 383, 965], 'Confidence': 1}, {'Position': [0, 238, 674, 826], 'Confidence': 1}, {'Position': [196, 301, 736, 766], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'dining table' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'dining table' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer... | <answer>[{'Position': [3, 0, 999, 984], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'zebra' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'zebra' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [118, 581, 401, 836], 'Confidence': 1}, {'Position': [562, 218, 767, 398], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'baseball bat' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'baseball bat' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer... | <answer>[{'Position': [295, 368, 326, 458], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'car' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'car' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output ... | <answer>[{'Position': [242, 529, 380, 735], 'Confidence': 1}, {'Position': [970, 441, 999, 571], 'Confidence': 1}, {'Position': [267, 451, 354, 521], 'Confidence': 1}, {'Position': [870, 420, 980, 529], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'car' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'car' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output ... | <answer>[{'Position': [490, 349, 996, 677], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'cow' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'cow' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output ... | <answer>[{'Position': [78, 424, 661, 884], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'bed' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'bed' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output ... | <answer>[{'Position': [3, 549, 620, 983], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [12, 833, 33, 910], 'Confidence': 1}, {'Position': [0, 840, 13, 931], 'Confidence': 1}, {'Position': [630, 801, 679, 852], 'Confidence': 1}, {'Position': [37, 836, 57, 909], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'person' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'person' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [840, 342, 984, 589], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'cup' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'cup' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output ... | <answer>[{'Position': [651, 0, 785, 148], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'bird' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'bird' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The outpu... | <answer>[{'Position': [316, 88, 448, 166], 'Confidence': 1}, {'Position': [275, 151, 330, 169], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'cake' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'cake' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The outpu... | <answer>[{'Position': [294, 651, 511, 835], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'elephant' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'elephant' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.T... | <answer>[{'Position': [1, 0, 811, 806], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'book' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'book' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The outpu... | <answer>[{'Position': [209, 428, 262, 455], 'Confidence': 1}, {'Position': [122, 353, 221, 372], 'Confidence': 1}, {'Position': [588, 572, 660, 590], 'Confidence': 1}, {'Position': [92, 390, 154, 412], 'Confidence': 1}, {'Position': [600, 562, 640, 578], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'baseball bat' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'baseball bat' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer... | <answer>[{'Position': [780, 371, 871, 397], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'bottle' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'bottle' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The o... | <answer>[{'Position': [481, 214, 494, 283], 'Confidence': 1}, {'Position': [483, 475, 528, 590], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'sheep' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'sheep' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The out... | <answer>[{'Position': [605, 368, 641, 484], 'Confidence': 1}, {'Position': [762, 323, 799, 442], 'Confidence': 1}, {'Position': [719, 257, 731, 279], 'Confidence': 1}, {'Position': [728, 256, 748, 278], 'Confidence': 1}, {'Position': [656, 258, 673, 275], 'Confidence': 1}, {'Position': [594, 256, 611, 282], 'Confidence... | |
Detect all objects belonging to the category 'tennis racket' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'tennis racket' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answ... | <answer>[{'Position': [659, 17, 802, 677], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'tennis racket' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'tennis racket' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answ... | <answer>[{'Position': [516, 106, 746, 238], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'tv' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'tv' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer> tags.The output an... | <answer>[{'Position': [961, 82, 1000, 303], 'Confidence': 1}]</answer> | |
Detect all objects belonging to the category 'potted plant' in the image, and provide the bounding boxes in bbox_2d format as pixel coordinates on the resized/input image.
If no object belonging to the category 'potted plant' in the image, return <answer>No Objects</answer>.
Output the final answer in <answer> </answer... | <answer>[{'Position': [756, 420, 850, 628], 'Confidence': 1}]</answer> |
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