[数据集][实例分割]小麦病害分割数据集899张12类别
数据集格式：labelme+yolo格式(不包含mask文件，仅仅包含jpg图片和对应的json文件以及对应yolo格式txt文件)
图片数量(jpg文件个数)：899
标注数量(json文件个数)：899
标注数量(txt文件个数)：899
标注类别数：12
标注类别名称:["CrownAndRootRot","LeafRust","PowderyMildew","WheatAphids","HealthyWheat","WheatScab","WheatCystNematode","WheatLooseSmut","WheatRedSpider","WheatSharpEyespot","WheatStalkRot","WheatTake-all"]
每个类别标注的框数：
CrownAndRootRot count = 268
LeafRust count = 131
PowderyMildew count = 323
WheatAphids count = 173
HealthyWheat count = 282
WheatScab count = 300
WheatCystNematode count = 103
WheatLooseSmut count = 171
WheatRedSpider count = 182
WheatSharpEyespot count = 105
WheatStalkRot count = 136
WheatTake-all count = 117
使用标注工具：labelme
标注规则：对类别进行画多边形框polygon
重要说明：可以将数据集用labelme打开编辑，json数据集可以转成mask或者yolo格式作语义分割或者实例分割
特别声明：本数据集不对训练的模型或者权重文件精度作任何保证，数据集只提供准确且合理标注
原文地址：https://blog.csdn.net/FL1623863129/article/details/136538449
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