固体废弃物检测数据集6494张VOC+YOLO格式
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)：6494
标注数量(xml文件个数)：6494
标注数量(txt文件个数)：6494
标注类别数：25
所在github仓库：datasets_sl
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):["Brick","Disposed Gravel","Disposed Soil","Rebar","Rebar_Heap","Rebar_Stack","Roll-Off Dumpster","Roll-off Dumpster","Temporary Gravel","Temporary Sand","Temporary Soil","Wooden-Pallet","brick","bricks","cementitious","cementitious_debris","construction-waste","fiberglass","log","metallic","pallet","pvc","rebar","wires","wood"]
标签中文对照：砖块","处理后的碎石","处理后的土壤","钢筋","钢筋堆","钢筋堆叠","翻斗式垃圾箱","翻斗式垃圾箱","临时碎石","临时沙子","临时土壤","木托盘","砖块","砖块","胶结材料","胶结材料碎片","建筑垃圾","玻璃纤维","原木","金属","托盘","聚氯乙烯","钢筋","金属丝","木材
每个类别标注的框数：
Brick 框数 = 325
Disposed Gravel 框数 = 1
Disposed Soil 框数 = 31
Rebar 框数 = 1526
Rebar_Heap 框数 = 375
Rebar_Stack 框数 = 674
Roll-Off Dumpster 框数 = 16
Roll-off Dumpster 框数 = 12
Temporary Gravel 框数 = 2
Temporary Sand 框数 = 2
Temporary Soil 框数 = 16
Wooden-Pallet 框数 = 192
brick 框数 = 15432
bricks 框数 = 2985
cementitious 框数 = 2590
cementitious_debris 框数 = 166
construction-waste 框数 = 7
fiberglass 框数 = 831
log 框数 = 16253
metallic 框数 = 469
pallet 框数 = 1689
pvc 框数 = 1261
rebar 框数 = 2642
wires 框数 = 919
wood 框数 = 921
总框数：49337
每个类别占有图片数：
Brick 占有图片数 = 153
Disposed Gravel 占有图片数 = 1
Disposed Soil 占有图片数 = 28
Rebar 占有图片数 = 609
Rebar_Heap 占有图片数 = 270
Rebar_Stack 占有图片数 = 442
Roll-Off Dumpster 占有图片数 = 12
Roll-off Dumpster 占有图片数 = 12
Temporary Gravel 占有图片数 = 2
Temporary Sand 占有图片数 = 2
Temporary Soil 占有图片数 = 11
Wooden-Pallet 占有图片数 = 122
brick 占有图片数 = 421
bricks 占有图片数 = 589
cementitious 占有图片数 = 878
cementitious_debris 占有图片数 = 101
construction-waste 占有图片数 = 1
fiberglass 占有图片数 = 311
log 占有图片数 = 182
metallic 占有图片数 = 15
pallet 占有图片数 = 959
pvc 占有图片数 = 520
rebar 占有图片数 = 735
wires 占有图片数 = 532
wood 占有图片数 = 344
图片分辨率：640x640
使用标注工具：labelImg
数据集是否增强：是
标注规则：对类别进行画矩形框
重要说明：数据集没有划分训练验证测试集需自行划分，数据集图片大多为建筑废弃物、工地废弃物，还含有少量其他情景下的物品
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
标注及图片情况如下：
