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):2412
标注数量(xml文件个数):2412
标注数量(txt文件个数):2412
标注类别数:20
标注类别名称:["alder","angelica","angelica_garden","birch","buckwheat","clover","fireweed","grass","hazel","hill_mustard","linden","maple","meadow_pink","mugwort","nettle","pigweed","pine","plantain","sorrel","willow"]
数据集编号:mbd.pub/o/bread/Z5WWmpdt
每个类别标注的框数:
alder 框数 = 470
angelica 框数 = 472
angelica_garden 框数 = 354
birch 框数 = 666
buckwheat 框数 = 213
clover 框数 = 320
fireweed 框数 = 366
grass 框数 = 213
hazel 框数 = 77
hill_mustard 框数 = 660
linden 框数 = 339
maple 框数 = 1159
meadow_pink 框数 = 235
mugwort 框数 = 118
nettle 框数 = 231
pigweed 框数 = 317
pine 框数 = 230
plantain 框数 = 217
sorrel 框数 = 271
willow 框数 = 816
总框数:7744
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
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

图片预览:

[数据集][目标检测]花粉数据集花粉粒检测数据集VOC+YOLO格式2412张20类别_txt文件

标注例子:

[数据集][目标检测]花粉数据集花粉粒检测数据集VOC+YOLO格式2412张20类别_txt文件_02