数据集格式:VOC格式+YOLO格式
压缩包内含:3个文件夹,分别存储图片、xml、txt文件
JPEGImages文件夹中jpg图片总计:2721
Annotations文件夹中xml文件总计:2721
labels文件夹中txt文件总计:2721
标签种类数:9
标签名称:["agricultural vehicle","boat","bus","car","construction vehicle","motorcycle","person","train","truck"]
每个标签的框数(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):
agricultural vehicle 框数 = 14
boat 框数 = 16
bus 框数 = 253
car 框数 = 17641
construction vehicle 框数 = 393
motorcycle 框数 = 1795
person 框数 = 12317
train 框数 = 430
truck 框数 = 977
总框数:33836
图片清晰度(分辨率:像素):清晰
图片是否增强:否
标签形状:矩形框,用于目标检测识别
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





图片概览
