Datasets:

Project-AgML
/

deepcob_maize_cob_segmentation

objects dict	image_set stringclasses 3 values	population stringclasses 24 values	annotation_set stringclasses 3 values	split stringclasses 2 values
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{ "bbox": [ [ 1, 558, 822, 49 ], [ 793, 13, 31, 561 ], [ 301, 189, 136, 346 ], [ 459, 87, 130, 450 ], [ 623, 49, 152, 490 ] ], "categories": [ 1, ...	ImgNew	Amazonas	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 561, 920, 45 ], [ 889, 57, 32, 517 ], [ 223, 164, 127, 370 ], [ 372, 70, 133, 467 ], [ 537, 95, 148, 444 ], [ 707, 40, ...	ImgNew	Amazonas	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 1, 979, 502 ], [ 55, 156, 94, 248 ], [ 166, 154, 102, 256 ], [ 290, 148, 87, 259 ], [ 408, 120, 93, 294 ], [ 535, 109, ...	ImgOld	Amazonas	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 458, 974, 57 ], [ 925, 2, 49, 461 ], [ 52, 174, 99, 237 ], [ 185, 158, 117, 259 ], [ 342, 151, 109, 264 ], [ 488, 131, ...	ImgOld	Amazonas	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 3, 444, 930, 69 ], [ 933, 1, 52, 514 ], [ 32, 194, 106, 216 ], [ 160, 152, 77, 264 ], [ 255, 148, 84, 277 ], [ 353, 107, 8...	ImgOld	Amazonas	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 1, 987, 517 ], [ 42, 178, 94, 238 ], [ 202, 141, 89, 267 ], [ 348, 128, 88, 282 ], [ 498, 118, 92, 291 ], [ 650, 111, 9...	ImgOld	Amazonas	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 1, 983, 511 ], [ 40, 211, 112, 203 ], [ 168, 208, 107, 208 ], [ 295, 176, 97, 243 ], [ 415, 124, 96, 295 ], [ 535, 92, ...	ImgOld	Amazonas	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 1, 983, 530 ], [ 70, 151, 93, 277 ], [ 180, 131, 111, 300 ], [ 313, 106, 115, 323 ], [ 462, 116, 96, 313 ], [ 581, 104, ...	ImgOld	Amazonas	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 1, 977, 486 ], [ 53, 104, 88, 274 ], [ 191, 83, 108, 298 ], [ 359, 87, 97, 297 ], [ 515, 90, 96, 293 ], [ 658, 68, 88, ...	ImgOld	Amazonas	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 13, 2, 970, 494 ], [ 48, 153, 88, 235 ], [ 153, 146, 92, 241 ], [ 265, 137, 93, 251 ], [ 378, 124, 93, 265 ], [ 495, 88, 7...	ImgOld	Amazonas	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 50, 1, 950, 538 ], [ 52, 156, 96, 292 ], [ 191, 145, 91, 301 ], [ 323, 111, 97, 333 ], [ 462, 102, 88, 340 ], [ 591, 83, 8...	ImgOld	Amazonas	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 5, 19, 980, 530 ], [ 36, 232, 104, 247 ], [ 150, 234, 78, 247 ], [ 237, 232, 95, 248 ], [ 346, 228, 105, 255 ], [ 469, 206, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 21, 974, 538 ], [ 49, 282, 104, 210 ], [ 165, 276, 100, 207 ], [ 287, 269, 83, 214 ], [ 387, 279, 100, 206 ], [ 511, 229, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 897, 150, 29, 381 ], [ 71, 511, 828, 27 ], [ 49, 280, 113, 220 ], [ 170, 223, 128, 287 ], [ 308, 173, 133, 335 ], [ 456, 138, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 2, 989, 544 ], [ 46, 286, 90, 172 ], [ 166, 218, 95, 249 ], [ 300, 207, 86, 266 ], [ 429, 211, 83, 258 ], [ 557, 219, 1...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 10, 507, 933, 30 ], [ 941, 98, 37, 427 ], [ 41, 253, 122, 242 ], [ 173, 258, 141, 244 ], [ 345, 241, 121, 255 ], [ 487, 233, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 4, 2, 996, 545 ], [ 49, 240, 109, 236 ], [ 178, 174, 124, 317 ], [ 333, 145, 128, 336 ], [ 495, 180, 115, 306 ], [ 640, 129, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 12, 1, 940, 545 ], [ 132, 300, 101, 180 ], [ 253, 306, 98, 173 ], [ 376, 273, 95, 208 ], [ 498, 271, 103, 207 ], [ 620, 280, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 56, 548, 899, 40 ], [ 921, 98, 32, 446 ], [ 100, 342, 122, 195 ], [ 248, 337, 92, 199 ], [ 362, 328, 118, 207 ], [ 497, 287, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 1, 984, 524 ], [ 35, 203, 101, 243 ], [ 138, 178, 113, 266 ], [ 261, 167, 102, 287 ], [ 374, 160, 97, 294 ], [ 480, 155, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 58, 527, 869, 31 ], [ 923, 144, 32, 402 ], [ 21, 272, 116, 255 ], [ 153, 232, 140, 293 ], [ 316, 216, 122, 319 ], [ 471, 228, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 2, 486, 947, 55 ], [ 946, 0, 42, 545 ], [ 55, 240, 90, 211 ], [ 186, 211, 73, 247 ], [ 299, 192, 95, 266 ], [ 439, 177, 97...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 476, 961, 41 ], [ 965, 3, 28, 493 ], [ 28, 197, 116, 236 ], [ 166, 191, 102, 259 ], [ 285, 153, 87, 293 ], [ 404, 151, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 563, 975, 56 ], [ 948, 83, 33, 509 ], [ 53, 344, 144, 186 ], [ 206, 317, 103, 220 ], [ 324, 298, 149, 252 ], [ 487, 290, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 55, 559, 900, 37 ], [ 923, 112, 32, 446 ], [ 93, 338, 128, 213 ], [ 231, 333, 147, 211 ], [ 393, 329, 138, 227 ], [ 546, 322, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 63, 1, 927, 562 ], [ 53, 275, 112, 189 ], [ 198, 252, 119, 209 ], [ 348, 228, 112, 223 ], [ 494, 220, 106, 226 ], [ 629, 191, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 33, 551, 913, 32 ], [ 913, 81, 30, 472 ], [ 763, 241, 142, 297 ], [ 96, 338, 110, 194 ], [ 213, 323, 142, 211 ], [ 364, 278, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 15, 557, 935, 28 ], [ 922, 84, 29, 476 ], [ 54, 314, 144, 215 ], [ 211, 279, 132, 249 ], [ 358, 262, 133, 271 ], [ 502, 253, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 1, 987, 530 ], [ 54, 214, 108, 220 ], [ 194, 206, 112, 229 ], [ 344, 210, 125, 232 ], [ 500, 184, 127, 255 ], [ 654, 190, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 549, 956, 58 ], [ 927, 13, 35, 562 ], [ 33, 301, 153, 221 ], [ 213, 257, 150, 277 ], [ 378, 230, 151, 297 ], [ 549, 226, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 0, 556, 921, 45 ], [ 888, 1, 34, 555 ], [ 369, 268, 114, 268 ], [ 541, 196, 122, 350 ], [ 708, 185, 161, 349 ] ], "categories": [ 1, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 578, 968, 38 ], [ 931, 82, 35, 504 ], [ 86, 293, 127, 252 ], [ 228, 270, 132, 277 ], [ 372, 244, 132, 307 ], [ 520, 228, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 532, 957, 52 ], [ 929, 3, 30, 550 ], [ 63, 273, 153, 235 ], [ 232, 245, 153, 254 ], [ 400, 240, 153, 267 ], [ 566, 202, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 93, 577, 857, 31 ], [ 914, 150, 36, 425 ], [ 92, 392, 105, 173 ], [ 207, 366, 118, 199 ], [ 341, 334, 129, 225 ], [ 488, 321, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 1, 988, 515 ], [ 33, 226, 104, 221 ], [ 156, 194, 127, 256 ], [ 301, 177, 111, 267 ], [ 435, 123, 88, 318 ], [ 545, 133, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 9, 41, 977, 491 ], [ 7, 178, 60, 276 ], [ 79, 193, 122, 259 ], [ 213, 140, 131, 308 ], [ 359, 155, 126, 300 ], [ 499, 142, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 0, 547, 932, 37 ], [ 893, 0, 38, 549 ], [ 231, 199, 156, 312 ], [ 457, 187, 158, 322 ], [ 667, 139, 178, 360 ] ], "categories": [ 1, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 56, 562, 882, 31 ], [ 915, 119, 24, 444 ], [ 100, 352, 119, 197 ], [ 236, 286, 116, 256 ], [ 371, 286, 123, 255 ], [ 519, 281, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 3, 1, 989, 519 ], [ 5, 207, 111, 226 ], [ 134, 146, 121, 287 ], [ 268, 170, 119, 265 ], [ 409, 138, 116, 299 ], [ 546, 145, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 49, 573, 902, 35 ], [ 918, 126, 34, 445 ], [ 69, 406, 123, 161 ], [ 216, 364, 110, 208 ], [ 363, 332, 106, 229 ], [ 502, 319, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 0, 489, 984, 48 ], [ 942, 5, 43, 487 ], [ 90, 246, 101, 220 ], [ 228, 213, 105, 251 ], [ 368, 191, 104, 276 ], [ 521, 208, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 10, 571, 935, 48 ], [ 909, 109, 33, 459 ], [ 51, 338, 126, 239 ], [ 204, 283, 127, 289 ], [ 349, 266, 124, 298 ], [ 505, 262, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 0, 568, 982, 42 ], [ 949, 22, 33, 556 ], [ 24, 309, 136, 233 ], [ 163, 256, 140, 286 ], [ 320, 198, 153, 345 ], [ 480, 190, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 0, 2, 994, 537 ], [ 45, 151, 132, 276 ], [ 223, 159, 146, 263 ], [ 401, 145, 133, 273 ], [ 598, 133, 120, 282 ], [ 777, 95, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 36, 571, 909, 34 ], [ 910, 113, 35, 456 ], [ 69, 371, 90, 190 ], [ 196, 350, 90, 210 ], [ 319, 304, 99, 259 ], [ 449, 294, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 35, 0, 962, 518 ], [ 33, 263, 66, 154 ], [ 137, 222, 86, 195 ], [ 255, 183, 68, 234 ], [ 351, 137, 84, 279 ], [ 473, 131, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 2, 2, 984, 538 ], [ 16, 283, 120, 176 ], [ 159, 220, 117, 242 ], [ 293, 159, 106, 296 ], [ 413, 147, 106, 304 ], [ 536, 137, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 50, 459, 930, 66 ], [ 941, 2, 38, 479 ], [ 30, 220, 110, 190 ], [ 166, 155, 101, 258 ], [ 300, 183, 109, 236 ], [ 437, 137, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 12, 0, 979, 528 ], [ 34, 207, 117, 230 ], [ 159, 179, 118, 260 ], [ 297, 159, 99, 283 ], [ 412, 107, 112, 334 ], [ 543, 107, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 2, 993, 512 ], [ 28, 158, 141, 269 ], [ 189, 194, 130, 235 ], [ 343, 147, 114, 284 ], [ 477, 153, 140, 288 ], [ 631, 129, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 0, 562, 974, 35 ], [ 938, 29, 35, 531 ], [ 69, 389, 165, 158 ], [ 259, 304, 134, 235 ], [ 425, 257, 139, 280 ], [ 598, 207, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 0, 1, 998, 520 ], [ 35, 153, 124, 253 ], [ 189, 128, 118, 277 ], [ 336, 98, 109, 305 ], [ 476, 76, 131, 330 ], [ 634, 42, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 2, 563, 981, 39 ], [ 945, 3, 36, 556 ], [ 140, 281, 161, 265 ], [ 306, 194, 165, 356 ], [ 481, 123, 131, 425 ], [ 624, 125, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 503, 989, 55 ], [ 936, 2, 51, 434 ], [ 46, 176, 123, 278 ], [ 202, 148, 105, 303 ], [ 336, 141, 103, 308 ], [ 484, 108, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 16, 0, 983, 547 ], [ 45, 155, 142, 283 ], [ 216, 149, 123, 294 ], [ 360, 125, 126, 310 ], [ 513, 104, 134, 329 ], [ 663, 88, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 10, 0, 989, 537 ], [ 22, 197, 131, 230 ], [ 182, 147, 107, 275 ], [ 325, 121, 131, 293 ], [ 484, 109, 115, 301 ], [ 638, 89, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 0, 402, 984, 69 ], [ 938, 1, 55, 414 ], [ 36, 115, 104, 251 ], [ 171, 75, 122, 299 ], [ 317, 83, 120, 286 ], [ 470, 67, 12...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 0, 456, 992, 67 ], [ 951, 2, 44, 455 ], [ 20, 205, 131, 233 ], [ 186, 189, 111, 241 ], [ 340, 136, 118, 302 ], [ 483, 94, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 16, 468, 941, 68 ], [ 947, 3, 49, 513 ], [ 19, 172, 119, 277 ], [ 191, 148, 113, 291 ], [ 360, 135, 111, 302 ], [ 529, 127, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 555, 958, 32 ], [ 928, 2, 35, 555 ], [ 390, 263, 108, 272 ], [ 509, 196, 99, 346 ], [ 625, 153, 134, 382 ], [ 772, 69, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 545, 965, 49 ], [ 934, 0, 34, 557 ], [ 62, 237, 152, 282 ], [ 233, 190, 138, 333 ], [ 388, 191, 151, 319 ], [ 563, 125, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 2, 0, 997, 518 ], [ 7, 163, 128, 273 ], [ 141, 136, 121, 298 ], [ 275, 140, 112, 291 ], [ 402, 137, 115, 292 ], [ 533, 119, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 0, 1, 993, 523 ], [ 31, 194, 110, 211 ], [ 171, 174, 100, 229 ], [ 299, 147, 115, 251 ], [ 449, 139, 120, 257 ], [ 602, 125, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 49, 564, 910, 29 ], [ 929, 111, 29, 453 ], [ 92, 363, 105, 186 ], [ 223, 356, 120, 190 ], [ 369, 342, 115, 205 ], [ 508, 343, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 49, 569, 910, 39 ], [ 916, 109, 40, 460 ], [ 80, 379, 111, 164 ], [ 213, 338, 120, 202 ], [ 358, 321, 110, 220 ], [ 494, 300, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 3, 0, 995, 519 ], [ 39, 135, 118, 285 ], [ 170, 127, 133, 289 ], [ 331, 138, 128, 280 ], [ 485, 95, 119, 323 ], [ 625, 86, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 0, 485, 980, 55 ], [ 936, 2, 57, 491 ], [ 47, 256, 115, 206 ], [ 239, 237, 106, 224 ], [ 410, 103, 132, 362 ], [ 600, 84, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 14, 2, 984, 510 ], [ 23, 221, 109, 208 ], [ 148, 216, 109, 211 ], [ 274, 206, 104, 225 ], [ 396, 188, 103, 241 ], [ 522, 166, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 37, 570, 916, 42 ], [ 912, 111, 40, 456 ], [ 79, 353, 110, 218 ], [ 205, 341, 113, 230 ], [ 342, 319, 119, 245 ], [ 487, 308, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 54, 2, 946, 539 ], [ 51, 207, 116, 260 ], [ 182, 239, 117, 226 ], [ 311, 150, 105, 314 ], [ 432, 163, 120, 296 ], [ 565, 111, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 43, 561, 894, 43 ], [ 895, 115, 38, 444 ], [ 74, 352, 125, 203 ], [ 223, 341, 114, 210 ], [ 357, 324, 110, 224 ], [ 495, 308, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 1, 996, 527 ], [ 31, 161, 122, 274 ], [ 197, 113, 103, 325 ], [ 354, 61, 113, 381 ], [ 509, 83, 111, 357 ], [ 657, 58, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 2, 1, 996, 509 ], [ 43, 164, 116, 272 ], [ 203, 122, 104, 314 ], [ 350, 108, 92, 326 ], [ 488, 95, 95, 337 ], [ 633, 101, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 8, 553, 955, 38 ], [ 932, 69, 29, 483 ], [ 92, 271, 106, 261 ], [ 223, 263, 114, 270 ], [ 357, 263, 101, 277 ], [ 472, 236, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 3, 2, 997, 511 ], [ 29, 200, 124, 248 ], [ 165, 177, 95, 260 ], [ 271, 155, 126, 287 ], [ 412, 138, 116, 299 ], [ 538, 124, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 568, 963, 33 ], [ 935, 61, 30, 508 ], [ 127, 239, 136, 314 ], [ 300, 229, 122, 318 ], [ 467, 231, 108, 317 ], [ 629, 223, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 0, 4, 995, 543 ], [ 32, 156, 86, 313 ], [ 154, 148, 87, 321 ], [ 275, 133, 90, 340 ], [ 400, 108, 84, 358 ], [ 510, 69, 85...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 2, 558, 945, 37 ], [ 912, 55, 34, 500 ], [ 150, 381, 136, 174 ], [ 329, 301, 143, 257 ], [ 521, 275, 150, 278 ], [ 723, 271, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 0, 516, 931, 55 ], [ 896, 1, 38, 534 ], [ 231, 179, 176, 295 ], [ 447, 163, 188, 317 ], [ 667, 59, 174, 427 ] ], "categories": [ 1, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 43, 597, 937, 46 ], [ 952, 136, 31, 478 ], [ 25, 409, 127, 169 ], [ 159, 379, 129, 192 ], [ 299, 394, 128, 184 ], [ 440, 381, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 1, 985, 520 ], [ 27, 151, 119, 283 ], [ 197, 142, 97, 292 ], [ 338, 115, 107, 318 ], [ 493, 75, 90, 356 ], [ 636, 104, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 28, 565, 919, 34 ], [ 914, 103, 32, 462 ], [ 55, 349, 104, 183 ], [ 177, 322, 127, 218 ], [ 340, 277, 109, 260 ], [ 477, 276, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 2, 579, 943, 34 ], [ 913, 63, 32, 520 ], [ 175, 257, 140, 319 ], [ 362, 213, 114, 354 ], [ 544, 195, 133, 374 ], [ 729, 170, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 96, 1, 901, 543 ], [ 11, 202, 90, 261 ], [ 101, 167, 106, 305 ], [ 213, 182, 127, 291 ], [ 346, 163, 105, 299 ], [ 465, 162, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 0, 579, 957, 32 ], [ 925, 12, 31, 571 ], [ 202, 271, 115, 280 ], [ 342, 169, 95, 376 ], [ 457, 145, 136, 404 ], [ 615, 105, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 70, 2, 929, 523 ], [ 24, 262, 134, 186 ], [ 180, 191, 95, 248 ], [ 304, 144, 112, 295 ], [ 436, 155, 115, 280 ], [ 568, 128, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 99, 2, 892, 521 ], [ 28, 167, 109, 270 ], [ 165, 170, 115, 267 ], [ 301, 168, 106, 275 ], [ 432, 142, 116, 299 ], [ 571, 137, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 94, 0, 892, 509 ], [ 27, 269, 83, 155 ], [ 118, 244, 111, 175 ], [ 233, 159, 104, 257 ], [ 352, 171, 95, 250 ], [ 469, 153, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 108, 0, 881, 522 ], [ 18, 192, 110, 248 ], [ 133, 168, 103, 277 ], [ 250, 150, 96, 297 ], [ 354, 145, 99, 296 ], [ 458, 136, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 39, 578, 917, 28 ], [ 919, 116, 34, 459 ], [ 35, 405, 136, 140 ], [ 185, 345, 128, 209 ], [ 336, 311, 136, 248 ], [ 494, 303, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 97, 2, 894, 495 ], [ 100, 161, 85, 245 ], [ 203, 176, 91, 230 ], [ 323, 116, 101, 289 ], [ 445, 119, 83, 287 ], [ 542, 80, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 552, 960, 32 ], [ 926, 1, 34, 551 ], [ 176, 233, 138, 282 ], [ 328, 147, 120, 375 ], [ 457, 115, 118, 407 ], [ 596, 62, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 78, 1, 901, 538 ], [ 140, 280, 87, 170 ], [ 285, 175, 100, 276 ], [ 468, 172, 85, 274 ], [ 632, 64, 84, 390 ] ], "categories": [ 1, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 76, 1, 907, 526 ], [ 65, 247, 95, 201 ], [ 170, 197, 116, 246 ], [ 298, 98, 100, 343 ], [ 411, 158, 94, 293 ], [ 515, 149, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 1, 992, 525 ], [ 49, 197, 110, 236 ], [ 183, 167, 103, 275 ], [ 305, 162, 117, 280 ], [ 444, 165, 107, 277 ], [ 574, 123, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 45, 1, 946, 544 ], [ 34, 200, 123, 263 ], [ 187, 170, 97, 289 ], [ 314, 175, 109, 287 ], [ 446, 184, 121, 274 ], [ 588, 161, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 30, 2, 960, 549 ], [ 54, 252, 124, 228 ], [ 241, 194, 110, 271 ], [ 441, 176, 92, 293 ], [ 619, 170, 91, 301 ], [ 787, 74, ...	ImgOld	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 122, 1, 874, 523 ], [ 12, 250, 120, 196 ], [ 156, 159, 80, 278 ], [ 261, 161, 90, 284 ], [ 379, 157, 83, 273 ], [ 490, 144, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train
{ "bbox": [ [ 1, 571, 937, 43 ], [ 909, 92, 30, 477 ], [ 95, 303, 137, 276 ], [ 263, 296, 145, 283 ], [ 447, 239, 126, 333 ], [ 615, 212, ...	ImgNew	Ancash	ImgOldImgNew-training-data-1000	train

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Deepcob Maize Cob Segmentation

Annotated images from DeepCob, a Mask R-CNN pipeline for maize cob phenotyping built on photographs of native maize landraces from the Peruvian maize genebank. Cobs laid out next to a ruler are outlined with polygons, given here as a mask (background, cob, ruler) and matching boxes. The 1,248 images come from the record's annotated training and validation sets, drawn from the older (ImgOld) and newer (ImgNew) genebank photo series and a separate cross-population set (ImgCross); the genebank population of origin is kept where the record lists it. The dataset contains 1,248 images with 8,919 bounding box annotations across 2 categories.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

The original train/test/val split has been preserved in the split column.

Citation

@article{kienbaum2021deepcob,
  title={DeepCob: precise and high-throughput analysis of maize cob geometry using deep learning with an application in genebank phenomics},
  author={Kienbaum, Lydia and Correa Abondano, Miguel and Blas, Raul and Schmid, Karl},
  journal={Plant Methods},
  volume={17},
  pages={91},
  year={2021},
  publisher={BioMed Central}
}

The dataset itself can be cited as:

Kienbaum, L., Abondano, M. C., Blas, R., & Schmid, K. (2021). DeepCob: Precise and high-throughput analysis of maize cob geometry using deep learning with an application in genebank phenomics [Graphic]. Zenodo. https://doi.org/10.5281/ZENODO.4587304

This dataset was reformatted from its original format to match HuggingFace standards.

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