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COCO数据集格式详解

COCO数据集格式详解_数组

coco数据集是一个json格式的文件,由info、images、annotations、categories、licenses五部分组成。


licenses、info两部分在训练时基本用不到,置空就好

"licenses": [],
"info": {},

images为图片信息的数组,每张图片为一个json对象

"images": [{
  "height": 2000,
  "width": 2000,
  "id": 2,
  "file_name": "0015111_h3_w6.png",
  "object_count": 76
},
           {...},
            ...
          
          ]

annotations为图片中标注信息的数组,每个标注为一个json对象。

{
  "image_id": 7,
  "id": 1201,
  "bbox": [
    622.4736554731883,
    694.9063573054165,
    160.41168200000004,
    100.26595825635263
  ],
  "area": 16083.831011243317,
  "rec": [
    48,
    57,
    77,
    59,
    65,
    68,
    65,
    76,
    71,
    75,
    135,
    135,
    135,
    135,
    135,
    135,
    135,
    135,
    135,
    135,
    135,
    135,
    135
  ],
  "iscrowd": 0,
  "bezier_pts": [
    542.2678144731882,
    715.3712161563689,
    590.8652584488111,
    688.0499888777866,
    641.4250169753009,
    664.1276780064421,
    693.7271644731883,
    644.7733781772401,
    702.6794964731882,
    672.6808486635871,
    651.3975767098083,
    694.1994164161065,
    601.2892435659596,
    718.4815382165596,
    552.4318154731883,
    745.0393364335928
  ],
  "illegible": false,
  "truncated": false,
  "category_id": 1
},

最后的categories为类别标注

 "categories": [
   {
      "supercategory": "beverage", 
    	"id": 1, 
      "keypoints": ["mean", "xmin", "x2", "x3", "xmax", "ymin", "y2", "y3", "ymax", "cross"], 
      "name": "text"
   }
 ]


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