城市基础设施健康状态检测数据集8599张VOC+YOLO
城市基础设施健康状态检测数据集8599张VOC+YOLO
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):8599
标注数量(xml文件个数):8599
标注数量(txt文件个数):8599
标注类别数:13
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):["Bench","Bollard","BrailleBlock","Defect_Bollard","Defect_BrailleBlock","Defect_Manhole","Defect_Tile","Manhole","Person","RailwayTrack","Stairway","Train","WetFloor"]
标签中文对照:长椅”,“护柱”,“盲道砖”,“缺陷护柱”,“缺陷盲道砖”,“缺陷井盖”,“缺陷瓷砖”,“井盖”,“人”,“铁路轨道”,“楼梯”,“火车”,“湿地板
每个类别标注的框数:
Bench 框数 = 145
Bollard 框数 = 1666
BrailleBlock 框数 = 2492
Defect_Bollard 框数 = 133
Defect_BrailleBlock 框数 = 2500
Defect_Manhole 框数 = 820
Defect_Tile 框数 = 144
Manhole 框数 = 3486
Person 框数 = 2430
RailwayTrack 框数 = 1621
Stairway 框数 = 1497
Train 框数 = 997
WetFloor 框数 = 2161
总框数:20092
每个类别占有图片数:
Bench 占有图片数 = 128
Bollard 占有图片数 = 372
BrailleBlock 占有图片数 = 1992
Defect_Bollard 占有图片数 = 133
Defect_BrailleBlock 占有图片数 = 1158
Defect_Manhole 占有图片数 = 819
Defect_Tile 占有图片数 = 74
Manhole 占有图片数 = 3461
Person 占有图片数 = 1082
RailwayTrack 占有图片数 = 882
Stairway 占有图片数 = 676
Train 占有图片数 = 810
WetFloor 占有图片数 = 1334
图片分辨率:640x640
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:
