Closed monkeycc closed 1 year ago
这种COCO格式好导入不
用于实例分割的数据集
当然 TrainVal 是多余出来的
Annotation 文件夹 是 标注文件
其他的 都是对应的 图片 文件夹
json 标注文件是这样的
{ "images": [ { "file_name": "AA09MM102.jpg", "height": 970, "width": 1652, "id": 200 }, { "file_name": "MMfg_160.jpg", "height": 682, "width": 1024, "id": 8000 }, { "file_name": "MMfg_69.jpg", "height": 769, "width": 1024, "id": 18700 }, { "file_name": "AAImage20220624162735927.jpg", "height": 1365, "width": 2048, "id": 6100 }, { "file_name": "AAImage20220624161552375.jpg", "height": 1365, "width": 2048, "id": 4900 }, { "file_name": "MMfg_252.jpg", "height": 682, "width": 1024, "id": 13500 }, { "file_name": "MM_20_A.jpg", "height": 1094, "width": 1642, "id": 19800 }, { "file_name": "MMfg_175.jpg", "height": 682, "width": 1024, "id": 9100 }, { "file_name": "AA09MM40.jpg", "height": 970, "width": 1652, "id": 400 }, { "file_name": "MMfg_184.jpg", "height": 682, "width": 1024, "id": 10000 }, { "file_name": "MMfg_258.jpg", "height": 682, "width": 1024, "id": 14100 }, { "file_name": "MMfg_236.jpg", "height": 682, "width": 1024, "id": 12900 }, { "file_name": "MMfg_282.jpg", "height": 682, "width": 1024, "id": 15900 }, { "file_name": "MMfg_241.jpg", "height": 682, "width": 1024, "id": 13200 }, { "file_name": "MMfg_196.jpg", "height": 682, "width": 1024, "id": 10800 }, { "file_name": "MMfg_276.jpg", "height": 575, "width": 1024, "id": 15500 }, { "file_name": "MMfg_237.jpg", "height": 682, "width": 1024, "id": 13000 }, { "file_name": "MMfg_168.jpg", "height": 682, "width": 1024, "id": 8600 }, { "file_name": "MMfg_177.jpg", "height": 682, "width": 1024, "id": 9300 }, { "file_name": "MMfg_254.jpg", "height": 682, "width": 1024, "id": 13700 } ], "categories": [ { "supercategory": "supercategory", "id": 1, "name": "__ignore__" }, { "supercategory": "supercategory", "id": 2, "name": "_background_" }, { "supercategory": "supercategory", "id": 3, "name": "MM" } ], "annotations": [ { "id": 300, "image_id": 200, "bbox": [ 235, 320, 1198, 280 ], "area": 335440, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 500, "image_id": 400, "bbox": [ 283, 348, 1185, 275 ], "area": 325875, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 5500, "image_id": 4900, "bbox": [ 494, 699, 914, 139 ], "area": 127046, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 7000, "image_id": 6100, "bbox": [ 726, 666, 524, 334 ], "area": 175016, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 10900, "image_id": 8000, "bbox": [ 65, 139, 238, 412 ], "area": 98056, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 11000, "image_id": 8000, "bbox": [ 273, 148, 192, 394 ], "area": 75648, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 11100, "image_id": 8000, "bbox": [ 392, 123, 236, 390 ], "area": 92040, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 11200, "image_id": 8000, "bbox": [ 621, 124, 159, 375 ], "area": 59625, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 11300, "image_id": 8000, "bbox": [ 792, 130, 157, 386 ], "area": 60602, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 11900, "image_id": 8600, "bbox": [ 261, 386, 424, 76 ], "area": 32224, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 12400, "image_id": 9100, "bbox": [ 283, 431, 435, 80 ], "area": 34800, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 12600, "image_id": 9300, "bbox": [ 288, 366, 264, 139 ], "area": 36696, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 13300, "image_id": 10000, "bbox": [ 282, 303, 390, 266 ], "area": 103740, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 14100, "image_id": 10800, "bbox": [ 261, 366, 451, 119 ], "area": 53669, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 16400, "image_id": 12900, "bbox": [ 288, 399, 445, 74 ], "area": 32930, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 16500, "image_id": 13000, "bbox": [ 289, 333, 436, 166 ], "area": 72376, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 16700, "image_id": 13200, "bbox": [ 248, 379, 442, 105 ], "area": 46410, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 17000, "image_id": 13500, "bbox": [ 304, 321, 394, 67 ], "area": 26398, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 17100, "image_id": 13500, "bbox": [ 331, 434, 410, 100 ], "area": 41000, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 17400, "image_id": 13700, "bbox": [ 384, 279, 364, 164 ], "area": 59696, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 17500, "image_id": 13700, "bbox": [ 300, 454, 403, 83 ], "area": 33449, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 18100, "image_id": 14100, "bbox": [ 236, 453, 394, 112 ], "area": 44128, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 20300, "image_id": 15500, "bbox": [ 234, 240, 204, 320 ], "area": 65280, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 20400, "image_id": 15500, "bbox": [ 342, 168, 161, 331 ], "area": 53291, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 20500, "image_id": 15500, "bbox": [ 403, 136, 198, 319 ], "area": 63162, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 20600, "image_id": 15500, "bbox": [ 515, 64, 177, 332 ], "area": 58764, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 20700, "image_id": 15500, "bbox": [ 617, 16, 171, 347 ], "area": 59337, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 21100, "image_id": 15900, "bbox": [ 20, 276, 724, 404 ], "area": 292496, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 21200, "image_id": 15900, "bbox": [ 113, 135, 700, 409 ], "area": 286300, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 21300, "image_id": 15900, "bbox": [ 208, 7, 642, 394 ], "area": 252948, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 25900, "image_id": 18700, "bbox": [ 117, 368, 783, 139 ], "area": 108837, "iscrowd": 0, "category_id": 3, "segmentation": [] }, { "id": 27000, "image_id": 19800, "bbox": [ 677, 156, 313, 657 ], "area": 205641, "iscrowd": 0, "category_id": 3, "segmentation": [] } ] }
coco格式有导入支持
linhandev
commented
1 year ago linhandev
commented
1 year ago
这种COCO格式好导入不
用于实例分割的数据集
Annotation 文件夹 是 标注文件
其他的 都是对应的 图片 文件夹
json 标注文件是这样的