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)：6004
标注数量(xml文件个数)：6004
标注数量(txt文件个数)：6004
标注类别数：18
标注类别名称:["bottle_cap","bottle","cup","unlabeled_litter","straw","cigarette","can","styrofoam_piece","plastic_bag_wrapper","carton","other_litter","pop_tab","paper","aluminium_foil","plastic_container","other_plastic","lid","broken_glass"]
每个类别标注的框数：
aluminium_foil 框数 = 210
bottle 框数 = 1154
bottle_cap 框数 = 1803
broken_glass 框数 = 550
can 框数 = 1000
carton 框数 = 955
cigarette 框数 = 2834
cup 框数 = 788
lid 框数 = 349
other_litter 框数 = 541
other_plastic 框数 = 1044
paper 框数 = 557
plastic_bag_wrapper 框数 = 3141
plastic_container 框数 = 237
pop_tab 框数 = 359
straw 框数 = 503
styrofoam_piece 框数 = 423
unlabeled_litter 框数 = 2026
总框数：18474
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
下载地址：https://download.csdn.net/download/FL1623863129/88929588
