注意数据集目标都是无人机近距离拍摄，提供百度云盘地址下载
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)：6232
标注数量(xml文件个数)：6232
标注数量(txt文件个数)：6232
标注类别数：64
所在仓库：firc-dataset
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):["Aerosol","Aluminium blister pack","Battery","Broken glass","Brown glass","Carded blister pack","Cigarette","Clear glass","Clear plastic bottle","Clear plastic jug","Colored plastic jug","Corrugated carton","Crisp packet","Dark sort glass","Disposable food container","Disposable plastic cup","Drink can","Drink carton","Egg carton","Foam cup","Foam food container","Food Can","Food waste","Garbage bag","Glass cup","Glass jar","Green glass","Magazine paper","Meal carton","Metal bottle cap","Metal lid","Normal paper","Other carton","Other plastic","Other plastic bottle","Other plastic container","Other plastic cup","Other plastic wrapper","Paper bag","Paper cup","Paper straw","Pizza box","Plastic bottle cap","Plastic film","Plastic glooves","Plastic lid","Plastic straw","Plastic utensils","Polypropylene bag","Pop tab","Rope - strings","Scrap metal","Shoe","Single-use carrier bag","Six pack rings","Spread tub","Squeezable tube","Styrofoam piece","Tissues","Toilet tube","Tupperware","Unlabeled litter","Wrapping paper","json"]
每个类别标注的框数：
Aerosol (气雾罐) 框数 = 10
Aluminium blister pack (铝塑泡罩包装) 框数 = 6
Battery (电池) 框数 = 2
Broken glass (碎玻璃) 框数 = 143
Brown glass (棕色玻璃) 框数 = 162
Carded blister pack (卡式泡罩包装) 框数 = 1
Cigarette (烟头) 框数 = 667
Clear glass (透明玻璃) 框数 = 474
Clear plastic bottle (透明塑料瓶) 框数 = 1707
Clear plastic jug (透明塑料壶) 框数 = 178
Colored plastic jug (彩色塑料壶) 框数 = 839
Corrugated carton (瓦楞纸箱) 框数 = 65
Crisp packet (薯片袋) 框数 = 39
Dark sort glass (深色玻璃) 框数 = 457
Disposable food container (一次性餐盒) 框数 = 38
Disposable plastic cup (一次性塑料杯) 框数 = 104
Drink can (饮料罐) 框数 = 229
Drink carton (饮料纸盒) 框数 = 45
Egg carton (鸡蛋盒) 框数 = 11
Foam cup (泡沫杯) 框数 = 13
Foam food container (泡沫餐盒) 框数 = 15
Food Can (食品罐) 框数 = 34
Food waste (厨余垃圾) 框数 = 8
Garbage bag (垃圾袋) 框数 = 31
Glass cup (玻璃杯) 框数 = 12
Glass jar (玻璃罐) 框数 = 107
Green glass (绿色玻璃) 框数 = 308
Magazine paper (杂志用纸) 框数 = 12
Meal carton (餐盒) 框数 = 30
Metal bottle cap (金属瓶盖) 框数 = 80
Metal lid (金属盖) 框数 = 10
Normal paper (普通纸张) 框数 = 82
Other carton (其他纸盒) 框数 = 93
Other plastic (其他塑料) 框数 = 259
Other plastic bottle (其他塑料瓶) 框数 = 281
Other plastic container (其他塑料容器) 框数 = 50
Other plastic cup (其他塑料杯) 框数 = 6
Other plastic wrapper (其他塑料包装) 框数 = 2
Paper bag (纸袋) 框数 = 27
Paper cup (纸杯) 框数 = 67
Paper straw (纸吸管) 框数 = 4
Pizza box (披萨盒) 框数 = 3
Plastic bottle cap (塑料瓶盖) 框数 = 209
Plastic film (塑料薄膜) 框数 = 451
Plastic glooves (塑料手套) 框数 = 4
Plastic lid (塑料盖) 框数 = 77
Plastic straw (塑料吸管) 框数 = 1280
Plastic utensils (塑料餐具) 框数 = 37
Polypropylene bag (聚丙烯袋) 框数 = 3
Pop tab (拉环) 框数 = 99
Rope - strings (绳索) 框数 = 29
Scrap metal (金属废料) 框数 = 20
Shoe (鞋子) 框数 = 7
Single-use carrier bag (一次性手提袋) 框数 = 61
Six pack rings (六连包环) 框数 = 5
Spread tub (涂抹盒) 框数 = 9
Squeezable tube (软管) 框数 = 7
Styrofoam piece (泡沫塑料块) 框数 = 112
Tissues (纸巾) 框数 = 42
Toilet tube (厕纸芯) 框数 = 5
Tupperware (保鲜盒) 框数 = 4
Unlabeled litter (未分类垃圾) 框数 = 516
Wrapping paper (包装纸) 框数 = 12
json (纸团) 框数 = 62
总框数：9762
图片分辨率：多分辨率，如1920x1440,1920x2560等
使用标注工具：labelImg
无人机：DJI MAVIC 3
采集高度：1-5m
采集角度：30-90°
标注规则：对类别进行画矩形框
重要说明：暂无
应用领域：智慧环卫、环保监测、AI巡检等场景、道路垃圾等
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
图片预览：
标注例子：
