id int32 0 1.73k | images images listlengths 1 3 | question stringlengths 39 1.26k | options dict | answer stringclasses 4
values | category stringclasses 17
values |
|---|---|---|---|---|---|
400 | Which of the three given boxes in these three pictures shows the most winding road? resolution:10000 x 10000,Image A's box:[4446, 2282, 6175, 3339],Image B's box:[4404, 3882, 6046, 4453],Image C's box:[3825, 4061, 4911, 4546](The Image A/B/C are determined by the order of their transmission.) resolution:10000 x 10000,I... | {
"A": "Image B",
"B": "Image A",
"C": "Image C",
"D": null
} | B | multi_region_join_contrast | |
401 | Which of the three given boxes in these three pictures shows the highest greening degree of cultivated land? Resolution: 10000 x 10000. resolution:10000 x 10000,Image A's box:[1125, 4368, 2746, 6139],Image B's box:[804, 6582, 1946, 7425],Image C's box:[8111, 2175, 9404, 3175](The Image A/B/C are determined by the order... | {
"A": "Image A",
"B": "Image B",
"C": "Image C",
"D": null
} | C | multi_region_join_contrast | |
402 | Which of the three given boxes in these three pictures has the largest urban agglomeration? resolution:10000 x 10000,Image A's box:[3682, 5061, 6432, 7739],Image B's box:[39, 468, 1232, 1732],Image C's box:[146, 1318, 3196, 5275](The Image A/B/C are determined by the order of their transmission.) resolution:10000 x 100... | {
"A": "Image A",
"B": "Image B",
"C": "Image C",
"D": null
} | A | multi_region_join_contrast | |
403 | Which of the three given boxes shows the highest level of land greening? resolution:10000 x 10000,Image A's box:[3111, 5232, 4732, 6546],Image B's box:[4918, 2053, 6139, 3425],Image C's box:[5311, 6732, 6454, 7925](The Image A/B/C are determined by the order of their transmission.) resolution:10000 x 10000,Image A's bo... | {
"A": "Image A",
"B": "Image C",
"C": "Image B",
"D": null
} | A | multi_region_join_contrast | |
404 | Which of the three given boxes in these three pictures has the highest greening degree of cultivated land? Resolution: 10000 x 10000. resolution:10000 x 10000,Image A's box:[7254, 1739, 8632, 3132],Image B's box:[3961, 4825, 5289, 6196],Image C's box:[3604, 6196, 5104, 7432](The Image A/B/C are determined by the order ... | {
"A": "Image C",
"B": "Image B",
"C": "Image A",
"D": null
} | B | multi_region_join_contrast | |
405 | Which of the three given boxes in these three pictures has the largest building cluster size? Resolution: 10000 x 10000. resolution:10000 x 10000,Image A's box:[2368, 5596, 3932, 7318],Image B's box:[775, 3468, 2839, 5932],Image C's box:[2168, 4846, 3989, 7768](The Image A/B/C are determined by the order of their trans... | {
"A": "Image A",
"B": "Image B",
"C": "Image C",
"D": null
} | A | multi_region_join_contrast | |
406 | Which of the three given boxes in these three pictures has the highest vegetation greenness of cropland? Resolution: 10000 x 10000. Image A's box: [5646, 6503, 7054, 7582], Image B's box: [6139, 1589, 7932, 2739], Image C's box: [7854, 8668, 9339, 9596]. (The Image A/B/C are determined by the order of their transmissio... | {
"A": "Image A",
"B": "Image B",
"C": "Image C",
"D": null
} | A | multi_region_join_contrast | |
407 | Which of the three given boxes in these three pictures has the largest forest area? Resolution: 10000 x 10000. resolution:10000 x 10000,Image A's box:[3868, 5382, 4946, 6425],Image B's box:[4268, 6403, 6782, 9075],Image C's box:[139, 2025, 1111, 3125](The Image A/B/C are determined by the order of their transmission.) ... | {
"A": "Image A",
"B": "Image C",
"C": "Image B",
"D": null
} | C | multi_region_join_contrast | |
408 | Which of the three given boxes shows the largest water body area? Resolution: 10000 x 10000 resolution:10000 x 10000,Image A's box:[1718, 689, 3111, 1732],Image B's box:[6661, 5596, 7161, 6475],Image C's box:[2639, 7039, 3261, 7503](The Image A/B/C are determined by the order of their transmission.) resolution:10000 x ... | {
"A": "Image A",
"B": "Image B",
"C": "Image C",
"D": null
} | B | multi_region_join_contrast | |
409 | Which of the three given boxes in these three pictures has the highest greening degree of cultivated land? Resolution: 10000 x 10000. resolution:10000 x 10000,Image A's box:[1611, 5589, 2925, 6782],Image B's box:[4632, 539, 5675, 1468],Image C's box:[4168, 3846, 5211, 5511](The Image A/B/C are determined by the order o... | {
"A": "Image C",
"B": "Image B",
"C": "Image A",
"D": null
} | C | multi_region_join_contrast | |
410 | Which of the three given boxes in these three pictures has the highest traffic congestion? Resolution: 7360 x 4912. resolution:7360 x 4912,Image A's box:[221, 2451, 938, 2768],Image B's box:[2867, 1961, 4746, 3079],Image C's box:[4346, 3093, 4828, 3865](The Image A/B/C are determined by the order of their transmission.... | {
"A": "Image C",
"B": "Image A",
"C": "Image B",
"D": null
} | B | multi_region_join_contrast | |
411 | Which image shows the largest water area among the three reference regions (resolution: 7360x4912)? resolution:7360 x 4912,Image A's box:[1806, 411, 2292, 1922],Image B's box:[701, 1049, 3393, 3354],Image C's box:[301, 388, 940, 1427](The Image A/B/C are determined by the order of their transmission.) resolution:7360 x... | {
"A": "Image B",
"B": "Image C",
"C": "Image A",
"D": null
} | A | multi_region_join_contrast | |
412 | Which of the three given boxes in these three pictures has the largest forest area? resolution:7360 x 4912,Image A's box:[985, 1765, 1467, 3079],Image B's box:[3021, 1643, 4538, 3826],Image C's box:[4628, 336, 5985, 593](The Image A/B/C are determined by the order of their transmission.) resolution:7360 x 4912,Image A'... | {
"A": "Image B",
"B": "Image C",
"C": "Image A",
"D": null
} | A | multi_region_join_contrast | |
413 | Which of the three given boxes in these three pictures has the highest road congestion? resolution:6000 x 6000,Image A's box:[3067, 5636, 4088, 5949],Image B's box:[4382, 1633, 4872, 2513],Image C's box:[996, 2193, 1421, 2376](The Image A/B/C are determined by the order of their transmission.) resolution:6000 x 6000,Im... | {
"A": "Image B",
"B": "Image C",
"C": "Image A",
"D": null
} | C | multi_region_join_contrast | |
414 | Which image shows the highest number of airplanes within the reference box? Resolution: similar for all images. resolution:6635 x 6508,Image A's box:[4151, 4883, 4810, 5865],Image B's box:[4474, 3779, 4815, 4397],Image C's box:[2424, 2429, 2803, 2811](The Image A/B/C are determined by the order of their transmission.) ... | {
"A": "Image A",
"B": "Image B",
"C": "Image C",
"D": null
} | A | multi_region_join_contrast | |
415 | Which of the three given boxes in these three pictures has the lowest building density? Resolution: 7360 x 4912. Image A's box: [3771, 1672, 5346, 2947], Image B's box: [2656, 2733, 4328, 4122], Image C's box: [3746, 186, 5746, 1201]. (The Image A/B/C are determined by the order of their transmission.) | {
"A": "Image C",
"B": "Image A",
"C": "Image B",
"D": null
} | C | multi_region_join_contrast | |
416 | Which of the three given boxes in these three pictures has the highest building density? Resolution: 7360 x 4912. resolution:7360 x 4912,Image A's box:[3181, 1218, 4492, 2511],Image B's box:[3035, 997, 4528, 2361],Image C's box:[4806, 690, 5999, 1815](The Image A/B/C are determined by the order of their transmission.) ... | {
"A": "Image C",
"B": "Image A",
"C": "Image B",
"D": null
} | B | multi_region_join_contrast | |
417 | Which of the three given boxes in these three pictures has the highest tree density? Resolution: 7360 x 4912 resolution:7360 x 4912,Image A's box:[1931, 1768, 2531, 3743],Image B's box:[860, 1726, 3356, 2154],Image C's box:[4456, 3904, 4863, 4643](The Image A/B/C are determined by the order of their transmission.) reso... | {
"A": "Image C",
"B": "Image A",
"C": "Image B",
"D": null
} | B | multi_region_join_contrast | |
418 | Which of the three given boxes in these three pictures has the highest building density? Resolution: 7360 x 4912. resolution:7360 x 4912,Image A's box:[4163, 451, 5210, 1158],Image B's box:[3463, 1554, 4946, 3297],Image C's box:[4138, 133, 5567, 1765](The Image A/B/C are determined by the order of their transmission.) ... | {
"A": "Image C",
"B": "Image B",
"C": "Image A",
"D": null
} | C | multi_region_join_contrast | |
419 | Which of the three given boxes in these three pictures has the highest building density? Resolution: 7360 x 4912 resolution:7360 x 4912,Image A's box:[1106, 3004, 2917, 3729],Image B's box:[5513, 826, 6571, 1983],Image C's box:[3138, 676, 4796, 1601](The Image A/B/C are determined by the order of their transmission.) r... | {
"A": "Image C",
"B": "Image A",
"C": "Image B",
"D": null
} | B | multi_region_join_contrast | |
420 | Which bounding box best represents the area with the highest building density? | {
"A": "[2254, 2461, 4568, 4589]",
"B": "[5054, 5911, 6518, 7089]",
"C": "[4175, 7411, 5654, 8632]",
"D": null
} | A | multi_region_join_contrast_singal | |
421 | Which bounding box best represents the cropland greenness level? | {
"A": "[7625, 5725, 8968, 6982]",
"B": "[5054, 1461, 6196, 2453]",
"C": "[4175, 7411, 5654, 8632]",
"D": null
} | C | multi_region_join_contrast_singal | |
422 | Which bounding box best represents the cropland patch with the highest greenness level? | {
"A": "[6861, 3832, 7932, 4911]",
"B": "[3811, 3968, 5004, 4925]",
"C": "[4875, 6211, 5661, 6975]",
"D": null
} | B | multi_region_join_contrast_singal | |
423 | Which bounding box best represents the cropland greenness level? | {
"A": "[2875, 4982, 3496, 6003]",
"B": "[1311, 2703, 2046, 3425]",
"C": "[6789, 2468, 7325, 3168]",
"D": null
} | A | multi_region_join_contrast_singal | |
424 | Which bounding box best represents the flattest ground surface among the compared regions? | {
"A": "[3746, 6146, 4525, 6832]",
"B": "[7025, 1311, 8032, 2089]",
"C": "[4711, 3711, 5896, 4732]",
"D": null
} | B | multi_region_join_contrast_singal | |
425 | Which bounding box best represents the building density? | {
"A": "[3746, 6146, 4525, 6832]",
"B": "[7018, 46, 7775, 511]",
"C": "[3754, 4775, 4275, 6061]",
"D": null
} | C | multi_region_join_contrast_singal | |
426 | Which bounding box best represents the area with the most pronounced road curvature? | {
"A": "[3582, 5303, 3954, 5946]",
"B": "[4304, 632, 4711, 1946]",
"C": "[2354, 8825, 2582, 9303]",
"D": null
} | A | multi_region_join_contrast_singal | |
427 | Which bounding box best represents the area with the highest forest coverage? | {
"A": "[2718, 7575, 5846, 9125]",
"B": "[1339, 618, 1732, 953]",
"C": "[8025, 2489, 9211, 3732]",
"D": null
} | C | multi_region_join_contrast_singal | |
428 | Which bounding box best represents the largest urban land scale? | {
"A": "[2003, 712, 3289, 2105]",
"B": "[2768, 7546, 4054, 8939]",
"C": "[7801, 8398, 9087, 9791]",
"D": null
} | B | multi_region_join_contrast_singal | |
429 | Which bounding box best represents the area with the densest forest coverage? | {
"A": "[839, 703, 2161, 1825]",
"B": "[3968, 7925, 4754, 8575]",
"C": "[5425, 1061, 6311, 1875]",
"D": null
} | B | multi_region_join_contrast_singal | |
430 | Which bounding box best represents the area with the highest building density? | {
"A": "[5089, 1075, 7054, 2275]",
"B": "[3918, 8339, 5011, 9661]",
"C": "[3800, 4400, 6300, 7150]",
"D": null
} | C | multi_region_join_contrast_singal | |
431 | Which bounding box best represents the cropland greenness level? | {
"A": "[7089, 675, 7689, 1339]",
"B": "[5925, 3582, 6768, 4168]",
"C": "[8611, 3046, 9346, 3832]",
"D": null
} | A | multi_region_join_contrast_singal | |
432 | Which bounding box best represents the cropland greenness level? | {
"A": "[382, 1682, 968, 2532]",
"B": "[1489, 496, 2011, 1153]",
"C": "[6868, 4746, 7368, 5296]",
"D": null
} | B | multi_region_join_contrast_singal | |
433 | Which bounding box best represents the cropland patch with the highest greenness level? | {
"A": "[296, 4703, 1004, 5161]",
"B": "[1961, 7189, 2661, 7825]",
"C": "[6868, 4746, 7368, 5296]",
"D": null
} | A | multi_region_join_contrast_singal | |
434 | Which bounding box best represents the road curvature? | {
"A": "-",
"B": "[3118, 3161, 3775, 3525]",
"C": "[1618, 1846, 2189, 2539]",
"D": null
} | C | multi_region_join_contrast_singal | |
435 | Which bounding box best represents the urban scale | {
"A": "[296, 4703, 1004, 5161]",
"B": "[5282, 7761, 6189, 9103]",
"C": "[2639, 1039, 3382, 1475]",
"D": null
} | C | multi_region_join_contrast_singal | |
436 | Which bounding box best represents the area with the densest forest coverage? | {
"A": "[4846, 4253, 5304, 4511]",
"B": "[9289, 7768, 9975, 8739]",
"C": "[5411, 2782, 5682, 3103]",
"D": null
} | B | multi_region_join_contrast_singal | |
437 | Which bounding box best represents the road curvature? | {
"A": "[1682, 2739, 2946, 3089]",
"B": "[2611, 1111, 3761, 2146]",
"C": "[4039, 1132, 4939, 1532]",
"D": null
} | A | multi_region_join_contrast_singal | |
438 | Which bounding box best represents the urban scale with the most compact housing? | {
"A": "[1804, 289, 2211, 696]",
"B": "[2132, 4053, 2582, 4675]",
"C": "[2511, 1111, 3761, 2146]",
"D": null
} | C | multi_region_join_contrast_singal | |
439 | Which bounding box best represents the area with the deepest water body? | {
"A": "[5589, 2603, 7818, 5339]",
"B": "[6375, 6225, 8332, 9939]",
"C": "[1811, 4468, 3139, 5882]",
"D": null
} | B | multi_region_join_contrast_singal | |
440 | Which bounding box best represents the area with the highest building density? | {
"A": "[2111, 2803, 4575, 4582]",
"B": "[2149, 6482, 4004, 8153]",
"C": "[6761, 7153, 8139, 8682]",
"D": null
} | A | multi_region_join_contrast_singal | |
441 | Which bounding box best represents the cropland greenness level? | {
"A": "[3811, 2703, 5089, 3782]",
"B": "[5146, 1032, 5918, 1903]",
"C": "[6761, 7153, 8139, 8682]",
"D": null
} | B | multi_region_join_contrast_singal | |
442 | Which bounding box best represents the largest forest coverage area? | {
"A": "[5618, 5103, 6411, 5846]",
"B": "[1839, 761, 2882, 1568]",
"C": "[7504, 853, 8496, 1996]",
"D": null
} | A | multi_region_join_contrast_singal | |
443 | Which bounding box best represents the area with the highest building density? | {
"A": "[1725, 11, 2482, 353]",
"B": "[282, 8075, 804, 8996]",
"C": "[1289, 2639, 2182, 3989]",
"D": null
} | C | multi_region_join_contrast_singal | |
444 | Which bounding box best represents the road curvature | {
"A": "[1361, 6575, 1661, 7203]",
"B": "[1539, 4111, 2154, 4468]",
"C": "[1461, 5146, 1989, 5982]",
"D": null
} | C | multi_region_join_contrast_singal | |
445 | Which bounding box best represents the largest forest coverage area? | {
"A": "[1911, 2432, 2289, 2946]",
"B": "[6954, 5782, 8046, 6746]",
"C": "[7811, 1075, 8954, 1803]",
"D": null
} | B | multi_region_join_contrast_singal | |
446 | Which bounding box best represents the region with the most airplanes? | {
"A": "[1457, 462, 1617, 647]",
"B": "[2954, 1782, 4046, 2746]",
"C": "[832, 2972, 1342, 3502]",
"D": null
} | A | multi_region_join_contrast_singal | |
447 | Which bounding box best represents the region with the most airplanes? | {
"A": "[2062, 2398, 2317, 2693]",
"B": "[3922, 1923, 4147, 2113]",
"C": "[6757, 5163, 6917, 5298]",
"D": null
} | C | multi_region_join_contrast_singal | |
448 | Which bounding box best represents the area with the highest traffic congestion level? | {
"A": "[3774, 1472, 4813, 1651]",
"B": "[1467, 1208, 1585, 1708]",
"C": "[1499, 1983, 1599, 2518]",
"D": null
} | A | multi_region_join_contrast_singal | |
449 | Which bounding box best represents the region with the highest number of airplanes? | {
"A": "[4946, 1336, 5139, 1430]",
"B": "[2215, 1326, 2422, 1736]",
"C": "[3129, 2519, 3439, 2623]",
"D": null
} | B | multi_region_join_contrast_singal | |
450 | Which bounding box best represents the ship volume? | {
"A": "[3803, 4222, 5003, 4912]",
"B": "[517, 65, 1174, 472]",
"C": "[3581, 1393, 3813, 1611]",
"D": null
} | B | multi_region_join_contrast_singal | |
451 | Which bounding box best represents the area with the highest tree sparsity? | {
"A": "[1835, 590, 2506, 1165]",
"B": "[4663, 2218, 5121, 2751]",
"C": "[5978, 4233, 6574, 4633]",
"D": null
} | A | multi_region_join_contrast_singal | |
452 | Which bounding box best represents largest the ship volume？ | {
"A": "[84, 2445, 249, 2601]",
"B": "[3301, 3645, 3553, 3906]",
"C": "[488, 1223, 727, 1445]",
"D": null
} | C | multi_region_join_contrast_singal | |
453 | Which bounding box best represents the largest ship volume? | {
"A": "[75, 2745, 414, 3127]",
"B": "[5836, 4471, 6000, 4823]",
"C": "[453, 1488, 662, 1745]",
"D": null
} | B | multi_region_join_contrast_singal | |
454 | Which bounding box best represents the highest traffic congestion level? | {
"A": "[5799, 1247, 6074, 1929]",
"B": "[303, 1104, 1674, 1240]",
"C": "[6403, 3618, 6646, 4154]",
"D": null
} | A | multi_region_join_contrast_singal | |
455 | Which bounding box best represents the region with the highest number of airplanes? | {
"A": "[2799, 1247, 3074, 1929]",
"B": "[332, 587, 667, 917]",
"C": "[1202, 1837, 1692, 2342]",
"D": null
} | C | multi_region_join_contrast_singal | |
456 | Which bounding box best represents the traffic congestion level | {
"A": "[624, 4333, 835, 4786]",
"B": "[353, 497, 817, 1154]",
"C": "[4499, 3740, 5628, 3883]",
"D": null
} | C | multi_region_join_contrast_singal | |
457 | Which bounding box best represents the building footprint area? | {
"A": "[6560, 1840, 6853, 2211]",
"B": "[6549, 4011, 7056, 4497]",
"C": "[6763, 2418, 7171, 2704]",
"D": null
} | B | multi_region_join_contrast_singal | |
458 | Which bounding box best represents the highest vehicle density? | {
"A": "[4708, 2992, 5067, 3358]",
"B": "[1563, 3730, 1732, 4068]",
"C": "[1187, 985, 1463, 1216]",
"D": null
} | A | multi_region_join_contrast_singal | |
459 | Which bounding box best represents the larger soccer field area? | {
"A": "[1565, 3669, 2373, 4749]",
"B": "[2563, 3730, 2732, 4068]",
"C": "[1253, 1469, 2133, 2669]",
"D": null
} | A | multi_region_join_contrast_singal | |
460 | Which bounding box best represents the ship volume? | {
"A": "[1565, 3669, 2373, 4749]",
"B": "[4756, 554, 4967, 808]",
"C": "[5535, 1258, 6631, 1965]",
"D": null
} | C | multi_region_join_contrast_singal | |
461 | Which bounding box best represents the traffic congestion level? | {
"A": "[746, 2686, 1178, 2972]",
"B": "[3321, 318, 3992, 465]",
"C": "[3106, 3179, 3746, 3283]",
"D": null
} | B | multi_region_join_contrast_singal | |
462 | Which bounding box best represents the area with the highest traffic congestion level? | {
"A": "[5863, 3097, 6331, 3297]",
"B": "[3281, 2918, 3956, 3179]",
"C": "[746, 2686, 1178, 2972]",
"D": null
} | A | multi_region_join_contrast_singal | |
463 | Which bounding box best represents the area with the highest traffic congestion level? | {
"A": "[1981, 647, 2249, 940]",
"B": "[3024, 2690, 3260, 3011]",
"C": "[4813, 1165, 5042, 1711]",
"D": null
} | C | multi_region_join_contrast_singal | |
464 | Which bounding box best represents the largest ship volume? | {
"A": "[163, 3033, 1135, 4226]",
"B": "[2017, 3501, 3178, 4912]",
"C": "[4813, 1165, 5042, 1711]",
"D": null
} | B | multi_region_join_contrast_singal | |
465 | Which bounding box best represents the area with the highest tree density? | {
"A": "[4135, 3265, 5238, 4108]",
"B": "[874, 2451, 1653, 2922]",
"C": "[3621, 2211, 4671, 2793]",
"D": null
} | B | multi_region_join_contrast_singal | |
466 | Which bounding box best represents the area with the highest traffic congestion level? | {
"A": "[1778, 2440, 2692, 2786]",
"B": "[903, 3408, 1617, 3658]",
"C": "[4774, 540, 5760, 954]",
"D": null
} | A | multi_region_join_contrast_singal | |
467 | Which bounding box best represents the traffic congestion level? | {
"A": "[1813, 1793, 2224, 2365]",
"B": "[903, 3408, 1617, 3658]",
"C": "[1374, 2611, 1863, 3368]",
"D": null
} | C | multi_region_join_contrast_singal | |
468 | Which bounding box best represents the area with the highest traffic congestion level? | {
"A": "[1067, 711, 1521, 808]",
"B": "[2749, 479, 3288, 590]",
"C": "[710, 3968, 1678, 4133]",
"D": null
} | C | multi_region_join_contrast_singal | |
469 | Which bounding box best represents the area with the highest traffic congestion level? | {
"A": "[2871, 3145, 3858, 3680]",
"B": "[1623, 1180, 1793, 1914]",
"C": "[2319, 58, 3101, 323]",
"D": null
} | A | multi_region_join_contrast_singal | |
470 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [2382, 5403, 4489, 6853]. | {
"A": "coastal wetland",
"B": "sparse cropland area",
"C": "urban residential zone",
"D": "dense forest"
} | B | object_clasfication | |
471 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [2775, 3882, 4239, 5611]. | {
"A": "bridge",
"B": "urban area",
"C": "dense forest zone",
"D": "cropland"
} | C | object_clasfication | |
472 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [6346, 1211, 7425, 1882]. | {
"A": "forest edge",
"B": "rural settlement cluster",
"C": "urban residential district",
"D": "sparse cropland area"
} | D | object_clasfication | |
473 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [3561, 4225, 4161, 5032]. | {
"A": "sparse urban land area",
"B": "rural cropland",
"C": "industrial complex",
"D": "residential neighborhood"
} | A | object_clasfication | |
474 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [1218, 6289, 2596, 7332]. | {
"A": "dense urban land zone",
"B": "rural cropland",
"C": "residential neighborhood",
"D": "industrial complex"
} | A | object_clasfication | |
475 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [9104, 1646, 9711, 2353]. | {
"A": "residential neighborhood",
"B": "dense urban land zone",
"C": "rural cropland",
"D": "industrial factory complex"
} | B | object_clasfication | |
476 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [2254, 4911, 3296, 5603]. | {
"A": "forest",
"B": "urban residential area",
"C": "industrial complex",
"D": "sparse cropland zone"
} | D | object_clasfication | |
477 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [6511, 3789, 7311, 4518]. | {
"A": "agricultural field",
"B": "urban residential area",
"C": "dense forest zone",
"D": "rural landscape"
} | C | object_clasfication | |
478 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [6975, 5711, 7896, 6675]. | {
"A": "coastal region",
"B": "dense forest zone",
"C": "urban area",
"D": "agricultural fields"
} | B | object_clasfication | |
479 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [1604, 8925, 2911, 9861]. | {
"A": "industrial factory complex",
"B": "residential neighborhood cluster",
"C": "dense urban land zone",
"D": "rural cropland area"
} | C | object_clasfication | |
480 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [5004, 1582, 5811, 2175]. | {
"A": "sparse urban land zone",
"B": "dense forest area",
"C": "rural cropland",
"D": "industrial complex"
} | A | object_clasfication | |
481 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [3432, 3439, 4289, 4025]. | {
"A": "rural landscape",
"B": "forest",
"C": "urban development",
"D": "sparse cropland area"
} | D | object_clasfication | |
482 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [8211, 2982, 9182, 3596]. | {
"A": "forest patch",
"B": "rural settlement cluster",
"C": "urban residential zone",
"D": "sparse cropland area"
} | D | object_clasfication | |
483 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [1804, 5568, 2804, 6618]. | {
"A": "dense urban land zone",
"B": "residential neighborhood",
"C": "industrial complex",
"D": "rural cropland"
} | A | object_clasfication | |
484 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [2225, 246, 3832, 1346]. | {
"A": "urban area",
"B": "sparse ocean zone",
"C": "forest",
"D": "agricultural fields"
} | B | object_clasfication | |
485 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [7461, 561, 8718, 1339]. | {
"A": "rural cropland",
"B": "industrial complex",
"C": "sparse urban land area",
"D": "dense forest"
} | C | object_clasfication | |
486 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [404, 5632, 1104, 6303]. | {
"A": "rural land with scattered houses",
"B": "agricultural fields",
"C": "forest area",
"D": "dense urban land zone"
} | D | object_clasfication | |
487 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [2418, 6096, 3332, 6911]. | {
"A": "urban residential zone",
"B": "dense forest",
"C": "sparse cropland area",
"D": "industrial complex"
} | C | object_clasfication | |
488 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [3811, 6489, 4639, 7075]. | {
"A": "dense urban land zone",
"B": "residential houses",
"C": "industrial buildings",
"D": "rural cropland"
} | A | object_clasfication | |
489 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [6504, 3903, 7482, 4789]. | {
"A": "forest edge",
"B": "sparse cropland area",
"C": "urban residential zone",
"D": "rural settlement cluster"
} | B | object_clasfication | |
490 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [3875, 1996, 4539, 2511]. | {
"A": "urban residential zone",
"B": "rural settlement",
"C": "forest patch",
"D": "sparse cropland area"
} | D | object_clasfication | |
491 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [3632, 7939, 4532, 8632]. | {
"A": "urban residential zone",
"B": "dense forest",
"C": "sparse cropland area",
"D": "rural settlement"
} | C | object_clasfication | |
492 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [304, 682, 1611, 2103]. | {
"A": "residential neighborhood",
"B": "sparse urban land zone",
"C": "rural cropland",
"D": "industrial area"
} | B | object_clasfication | |
493 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [3246, 6161, 4696, 7325]. | {
"A": "dense urban land zone",
"B": "industrial complex",
"C": "residential neighborhood",
"D": "rural cropland"
} | A | object_clasfication | |
494 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [1482, 6196, 2946, 7275]. | {
"A": "industrial complex",
"B": "rural cropland",
"C": "forest area",
"D": "dense urban land zone"
} | D | object_clasfication | |
495 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [1711, 1496, 2554, 2382]. | {
"A": "industrial complex",
"B": "sparse cropland area",
"C": "urban residential zone",
"D": "forest region"
} | B | object_clasfication | |
496 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [7732, 5289, 9761, 7232]. | {
"A": "dense urban land zone",
"B": "rural cropland",
"C": "forest area",
"D": "industrial buildings"
} | A | object_clasfication | |
497 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [5046, 4575, 5596, 5611]. | {
"A": "urban residential area",
"B": "forest",
"C": "sparse cropland patch",
"D": "rural settlement"
} | C | object_clasfication | |
498 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [6346, 3825, 6939, 4818]. | {
"A": "coastline",
"B": "agricultural fields",
"C": "urban area",
"D": "dense forest zone"
} | D | object_clasfication | |
499 | Determine the category of the main object within the given reference bounding box in the image. Image resolution: 10000 x 10000. Bounding box: [4361, 861, 5046, 1532]. | {
"A": "urban area",
"B": "dense forest zone",
"C": "coastal region",
"D": "agricultural fields"
} | B | object_clasfication |
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