数据集分辨率都是300x300,都是贴近地面拍摄，具体看图片
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)：33793
标注数量(xml文件个数)：33793
标注数量(txt文件个数)：33793
标注类别数：31
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):["AdjustableClamp","AdjustableWrench","Battery","Bolt","BoltNutSet","BoltWasher","ClampPart","Cutter","FuelCap","Hammer","Hose","Label","LuggagePart","LuggageTag","MetalPart","MetalSheet","Nail","Nut","PaintChip","Pen","PlasticPart","Pliers","Rock","Screw","Screwdriver","SodaCan","Tape","Washer","Wire","Wood","Wrench"]
每个类别标注的框数：
AdjustableClamp 框数 = 544
AdjustableWrench 框数 = 472
Battery 框数 = 1059
Bolt 框数 = 3300
BoltNutSet 框数 = 514
BoltWasher 框数 = 1017
ClampPart 框数 = 917
Cutter 框数 = 1352
FuelCap 框数 = 548
Hammer 框数 = 760
Hose 框数 = 294
Label 框数 = 1310
LuggagePart 框数 = 738
LuggageTag 框数 = 1686
MetalPart 框数 = 970
MetalSheet 框数 = 394
Nail 框数 = 1193
Nut 框数 = 1303
PaintChip 框数 = 968
Pen 框数 = 483
PlasticPart 框数 = 2008
Pliers 框数 = 2884
Rock 框数 = 662
Screw 框数 = 157
Screwdriver 框数 = 811
SodaCan 框数 = 950
Tape 框数 = 127
Washer 框数 = 2139
Wire 框数 = 2138
Wood 框数 = 206
Wrench 框数 = 2568
总框数：34472
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：
