YoloV8数据集制作之labelme的使用_labelme yolov8

YoloV8数据集制作之labelme的使用

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链接：https://pan.baidu.com/s/1igKnX9pxi0rcXBiA9HMF3A
提取码：1234

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一 安装labelme

pip install labelme -i https://pypi.tuna.tsinghua.edu.cn/simple
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二 打开labelme

labelme 
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或者直接达到打包成exe的软件

三 使用labelme

绘制检测标注

回撤绘制的标注

绘制多边形分割标注

1.创建标注

2.重新编辑标注

3.保存标注

4.标注说明

{
  "version": 版本,
  "flags": 标志,
  "shapes": [
    {
      "label": 类别名称,
      "points":绘制点位,
      "group_id": 类别id,
      "shape_type": 绘制类型：多边形，矩形等,
      "flags": 标志
    }
  ],
  "imagePath": 图像路径,
  "imageData":图像base64编码,
  "imageHeight": 图像高,
  "imageWidth": 图像宽
}
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{
  "version": "4.5.12",
  "flags": {},
  "shapes": [
    {
      "label": "dog",
      "points": [
        [
          202.57142857142856,
          54.85714285714286
        ],
        [
          223.71428571428572,
          59.42857142857143
        ],
        [
          250.0,
          68.57142857142857
        ],
        [
          257.42857142857144,
          77.14285714285715
        ],
        [
          266.57142857142856,
          84.0
        ],
        [
          271.1428571428571,
          98.85714285714286
        ],
        [
          272.8571428571429,
          116.57142857142857
        ],
        [
          266.57142857142856,
          135.42857142857144
        ],
        [
          264.8571428571429,
          159.42857142857144
        ],
        [
          256.8571428571429,
          177.1428571428571
        ],
        [
          248.8571428571429,
          192.57142857142856
        ],
        [
          234.0,
          204.0
        ],
        [
          210.0,
          212.57142857142856
        ],
        [
          176.85714285714283,
          240.57142857142856
        ],
        [
          139.71428571428572,
          249.1428571428571
        ],
        [
          122.57142857142856,
          240.57142857142856
        ],
        [
          109.42857142857144,
          226.28571428571428
        ],
        [
          109.42857142857144,
          206.85714285714283
        ],
        [
          119.71428571428572,
          190.85714285714283
        ],
        [
          119.14285714285717,
          178.85714285714283
        ],
        [
          111.14285714285717,
          159.42857142857144
        ],
        [
          110.0,
          132.0
        ],
        [
          111.71428571428572,
          116.0
        ],
        [
          112.85714285714283,
          89.14285714285715
        ],
        [
          124.85714285714283,
          74.28571428571429
        ],
        [
          140.85714285714283,
          60.57142857142857
        ]
      ],
      "group_id": null,
      "shape_type": "polygon",
      "flags": {}
    }
  ],
  "imagePath": "1.jpg",
  "imageData":"",
  "imageHeight": 499,
  "imageWidth": 381
}
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