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