提供百度云盘地址
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):5000
标注数量(xml文件个数):5000
标注数量(txt文件个数):5000
标注类别数:17
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):["airliner","boat","bus","car","chartered","fighter","helicopter","longvehicle","other","others","propeller","pushback","pushbacktruck","stairtruck","trainer","truck","van"]
每个类别标注的框数:
airliner 框数 = 968
boat 框数 = 8672
bus 框数 = 1991
car 框数 = 20510
chartered 框数 = 640
fighter 框数 = 49
helicopter 框数 = 60
longvehicle 框数 = 1622
other 框数 = 621
others 框数 = 165
propeller 框数 = 195
pushback 框数 = 20
pushbacktruck 框数 = 189
stairtruck 框数 = 443
trainer 框数 = 631
truck 框数 = 2802
van 框数 = 5732
总框数:45310
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: