无人机视角航拍屋顶房顶缺陷裂缝损伤垃圾杂物检测数据集VOC+YOLO格式3353张19类别

作品简介

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):3353

标注数量(xml文件个数):3353

标注数量(txt文件个数):3353

标注类别数:19

所在github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):["baoqiqi","cangkoudakai","daoliuban","hulanqueshi","laji","paishuigouzawu","shengwusunshang","suoyoukoushunsunhuai","suoyouzhou","tongfengmaoqueshi","wudingfushi","wudingguqi","wudingkoushunsunhuai","wudingliefeng","wudingsunhuai","wudingtongfengkousunhuai","wujiqueshi","wujisunhuai","yankousunhuai"]

对应中文类别名:["通风器", "舱口打开", "导流板", "护栏缺失", "垃圾", "排水沟杂物", "生物损伤", "所有开口损坏", "各类通风竖井", "通风帽缺失", "屋顶腐蚀", "屋顶鼓起", "屋顶开口损坏", "屋顶裂缝", "屋顶损坏", "屋顶通风口损坏", "屋脊缺失", "屋脊损坏", "檐口损坏"]

每个类别标注的框数:

baoqiqi 框数 = 3939

cangkoudakai 框数 = 5

daoliuban 框数 = 2771

hulanqueshi 框数 = 738

laji 框数 = 2377

paishuigouzawu 框数 = 235

shengwusunshang 框数 = 3076

suoyoukoushunsunhuai 框数 = 3431

suoyouzhou 框数 = 9970

tongfengmaoqueshi 框数 = 979

wudingfushi 框数 = 13829

wudingguqi 框数 = 3367

wudingkoushunsunhuai 框数 = 148

wudingliefeng 框数 = 198

wudingsunhuai 框数 = 4787

wudingtongfengkousunhuai 框数 = 686

wujiqueshi 框数 = 223

wujisunhuai 框数 = 175

yankousunhuai 框数 = 28

总框数:50962

每个类别占有图片数:

baoqiqi 占有图片数 = 2011

cangkoudakai 占有图片数 = 5

daoliuban 占有图片数 = 1100

hulanqueshi 占有图片数 = 480

laji 占有图片数 = 1107

paishuigouzawu 占有图片数 = 134

shengwusunshang 占有图片数 = 696

suoyoukoushunsunhuai 占有图片数 = 2175

suoyouzhou 占有图片数 = 2958

tongfengmaoqueshi 占有图片数 = 354

wudingfushi 占有图片数 = 1905

wudingguqi 占有图片数 = 219

wudingkoushunsunhuai 占有图片数 = 142

wudingliefeng 占有图片数 = 101

wudingsunhuai 占有图片数 = 896

wudingtongfengkousunhuai 占有图片数 = 410

wujiqueshi 占有图片数 = 151

wujisunhuai 占有图片数 = 141

yankousunhuai 占有图片数 = 22

图片分辨率:1920x1440

使用标注工具:labelImg

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

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标注例子:




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