建筑工地目标检测数据集（建筑结构工程车安全防护）6710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)：6710
标注数量(xml文件个数)：6710
标注数量(txt文件个数)：6710
标注类别数：53
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):["Water Truck","asphalt paver","backhoe loader","beam","block","boom lift","brick pile","bulldozer","column","compactor","concrete mixer","construction fence","crane","crawler crane","door frame","drill","dump truck","dumpster","engineer","excavator","face mask","flatbed truck","footing","forklift","formwork","foundation","generator","hard hat","light tower","mixer truck","mobile crane","motor grader","pipe","pump","pump truck","rebar","safety barrier","safety boots","safety goggles","safety harness","safety vest","sand pile","scaffolding","skid steer loader","slab","staircase","tower crane","traffic cone","trailer","truss","wheel loader","window frame","worker"]
标签中文对照：水车”、“沥青摊铺机”、“反铲装载机”、”梁“、”块“、”臂架“、”砖桩“、”推土机“、”柱“、”压实机“、”混凝土搅拌机“、”施工围栏“、”起重机“、”履带吊“、”门框“、”钻机“、”自卸车“、”垃圾箱“、”工程师“、”挖掘机“、”面罩“、”平板车“、”基脚“、”叉车“、”模板“、”基础“、”发电机“、”安全帽“、”灯塔“、”搅拌车“、“管道”、“水泵”、“泵车”、“钢筋”、“安全护栏”、“防护靴”、“护目镜”、“吊带”、“保险背心”、“沙堆”、“脚手架”、“滑移装载机”、“平板”、“楼梯”、“塔式起重机”、“交通锥”、“拖车”、“特拉斯”、“轮式装载机”，“窗框”、“工人”
每个类别标注的框数：
Water Truck 框数 = 14
asphalt paver 框数 = 22
backhoe loader 框数 = 36
beam 框数 = 3745
block 框数 = 56
boom lift 框数 = 92
brick pile 框数 = 726
bulldozer 框数 = 448
column 框数 = 4480
compactor 框数 = 284
concrete mixer 框数 = 89
construction fence 框数 = 787
crane 框数 = 1193
crawler crane 框数 = 1
door frame 框数 = 7
drill 框数 = 44
dump truck 框数 = 1181
dumpster 框数 = 30
engineer 框数 = 37
excavator 框数 = 2950
face mask 框数 = 63
flatbed truck 框数 = 52
footing 框数 = 596
forklift 框数 = 15
formwork 框数 = 1951
foundation 框数 = 70
generator 框数 = 81
hard hat 框数 = 14638
light tower 框数 = 206
mixer truck 框数 = 329
mobile crane 框数 = 607
motor grader 框数 = 29
pipe 框数 = 6900
pump 框数 = 274
pump truck 框数 = 173
rebar 框数 = 2181
safety barrier 框数 = 730
safety boots 框数 = 812
safety goggles 框数 = 15
safety harness 框数 = 7
safety vest 框数 = 3422
sand pile 框数 = 1631
scaffolding 框数 = 1917
skid steer loader 框数 = 14
slab 框数 = 1648
staircase 框数 = 242
tower crane 框数 = 1788
traffic cone 框数 = 51
trailer 框数 = 92
truss 框数 = 80
wheel loader 框数 = 119
window frame 框数 = 322
worker 框数 = 21224
总框数：78501
每个类别占有图片数：
Water Truck 占有图片数 = 14
asphalt paver 占有图片数 = 22
backhoe loader 占有图片数 = 15
beam 占有图片数 = 436
block 占有图片数 = 14
boom lift 占有图片数 = 78
brick pile 占有图片数 = 237
bulldozer 占有图片数 = 364
column 占有图片数 = 431
compactor 占有图片数 = 256
concrete mixer 占有图片数 = 89
construction fence 占有图片数 = 465
crane 占有图片数 = 437
crawler crane 占有图片数 = 1
door frame 占有图片数 = 7
drill 占有图片数 = 36
dump truck 占有图片数 = 754
dumpster 占有图片数 = 15
engineer 占有图片数 = 30
excavator 占有图片数 = 2128
face mask 占有图片数 = 49
flatbed truck 占有图片数 = 30
footing 占有图片数 = 153
forklift 占有图片数 = 15
formwork 占有图片数 = 800
foundation 占有图片数 = 56
generator 占有图片数 = 67
hard hat 占有图片数 = 3584
light tower 占有图片数 = 135
mixer truck 占有图片数 = 252
mobile crane 占有图片数 = 446
motor grader 占有图片数 = 29
pipe 占有图片数 = 1313
pump 占有图片数 = 197
pump truck 占有图片数 = 138
rebar 占有图片数 = 902
safety barrier 占有图片数 = 331
safety boots 占有图片数 = 240
safety goggles 占有图片数 = 15
safety harness 占有图片数 = 7
safety vest 占有图片数 = 889
sand pile 占有图片数 = 762
scaffolding 占有图片数 = 1011
skid steer loader 占有图片数 = 14
slab 占有图片数 = 423
staircase 占有图片数 = 147
tower crane 占有图片数 = 652
traffic cone 占有图片数 = 22
trailer 占有图片数 = 57
truss 占有图片数 = 79
wheel loader 占有图片数 = 111
window frame 占有图片数 = 76
worker 占有图片数 = 4958
图片分辨率：432x243
使用标注工具：labelImg
数据集是否增强：否
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
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：
