数据集格式:Pascal VOC格式+YOLO格式(不包含分割路径的txt文件,仅仅包含jpg图片以及对应的VOC格式xml文件和yolo格式txt文件)
图片数量(jpg文件个数):2347
标注数量(xml文件个数):2347
标注数量(txt文件个数):2347
标注类别数:10
所在仓库:firc-dataset
标注类别名称(注意yolo格式类别顺序不和这个对应,而以labels文件夹classes.txt为准):["Acne","Blackheads","Dark-Spots","Dry-Skin","Englarged-Pores","Eyebags","Oily-Skin","Skin-Redness","Whiteheads","Wrinkles"]
每个类别标注的框数:
Acne 框数 = 9657
Blackheads 框数 = 577
Dark-Spots 框数 = 91
Dry-Skin 框数 = 1844
Englarged-Pores 框数 = 588
Eyebags 框数 = 428
Oily-Skin 框数 = 710
Skin-Redness 框数 = 100
Whiteheads 框数 = 584
Wrinkles 框数 = 1719
总框数:16298
使用标注工具:labelImg
标注规则:对类别进行画矩形框
重要说明:暂无
图片分辨率:640x640
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
{
"Acne": "痤疮",
"Blackheads": "黑头",
"Dark-Spots": "暗斑",
"Dry-Skin": "皮肤干燥",
"Englarged-Pores": "毛孔粗大",
"Eyebags": "眼袋",
"Oily-Skin": "油性皮肤",
"Skin-Redness": "皮肤泛红",
"Whiteheads": "白头",
"Wrinkles": "皱纹"
}
图片预览:
标注例子: