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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):4760
标注数量(xml文件个数):4760
标注数量(txt文件个数):4760
标注类别数:14
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):["carpetweed","crabgrass","eclipta","goosegrass","morning glory","nutsedge","palmer amaranth","prickly side","purslane","ragweed","sicklepod","spotted spurge","swincress","waterhemp"]
每个类别标注的框数:
carpetweed 框数 = 1107
crabgrass 框数 = 117
eclipta 框数 = 339
goosegrass 框数 = 216
morning glory 框数 = 1365
nutsedge 框数 = 372
palmer amaranth 框数 = 747
prickly side 框数 = 145
purslane 框数 = 599
ragweed 框数 = 134
sicklepod 框数 = 252
spotted spurge 框数 = 258
swincress 框数 = 71
waterhemp 框数 = 126
总框数:5848
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:

标注例子:
