数据集格式：labelme格式(不包含mask文件，仅仅包含jpg图片和对应的json文件)

图片数量(jpg文件个数)：1164

标注数量(json文件个数)：1164

标注类别数：37

标注类别名称:["number_plate","unauthorised_board","damaged_bus_stop","cleaning_required","damaged_rumble_strips","ravelling","unauthorised_opening","crack","faded_kerb","faded_marking","damaged_crash_barrier","encroachment","gantry_board","water_stagnation","face","damaged_road_stud","pothole","inappropriate_diversion","invisible_sign_board","faded_barrier_paint","damaged_blinker","plantation","excessive_vegetation","damaged_kerb","damaged_street_light","damaged_missing_manhole_covers","work_in_progress","damaged_footpath","rutting","hotspot","edge_drop","damaged_attenuator","damaged_anti_glare","damaged_delineator","damaged_sign_board","damaged_hazard_marker","rain_cuts"]

每个类别标注的框数：

number_plate（路名牌/标识牌）count = 132  

unauthorised_board（违规广告牌）count = 29  

damaged_bus_stop（公交站台损坏）count = 83  

cleaning_required（需清洁）count = 17  

damaged_rumble_strips（减速带损坏）count = 31  

ravelling（松散剥落）count = 66  

unauthorised_opening（私开道口）count = 44  

crack（裂缝）count = 192  

faded_kerb（路缘石褪色）count = 19  

faded_marking（标线模糊）count = 37  

damaged_crash_barrier（防撞护栏损坏）count = 60  

encroachment（违章占道）count = 40  

gantry_board（门架式标志牌）count = 22  

water_stagnation（路面积水）count = 15  

face（人脸）count = 9  

damaged_road_stud（路钮/道钉损坏）count = 42  

pothole（坑槽）count = 34  

inappropriate_diversion（不当绕行）count = 18  

invisible_sign_board（标志牌模糊不清）count = 38  

faded_barrier_paint（护栏漆面褪色）count = 31  

damaged_blinker（警示灯损坏）count = 22  

plantation（绿化种植）count = 74  

excessive_vegetation（植被过度生长）count = 2  

damaged_kerb（路缘石损坏）count = 35  

damaged_street_light（路灯损坏）count = 51  

damaged_missing_manhole_covers（井盖损坏/缺失）count = 70  

work_in_progress（施工中）count = 29  

damaged_footpath（人行道损坏）count = 35  

rutting（车辙）count = 20  

hotspot（事故多发点）count = 9  

edge_drop（路肩沉陷）count = 42  

damaged_attenuator（缓冲垫损坏）count = 12  

damaged_anti_glare（防眩板损坏）count = 150  

damaged_delineator（轮廓标损坏）count = 41  

damaged_sign_board（标志牌损坏）count = 34  

damaged_hazard_marker（危险警示标志损坏）count = 9  

rain_cuts（雨水冲刷沟）count = 7

总框数：1601

使用标注工具：labelme=5.5.0

所在github仓库：firc-dataset

图片分辨率：多分辨率图片,如1900x1069,1082x476等

标注规则：对类别进行画多边形框polygon

重要说明：可以将数据集用labelme打开编辑，json数据集需自己转成mask或者yolo格式或者coco格式作语义分割或者实例分割

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

图片预览：

标注例子：

原图（随机选16张图）：

标注绘制结果：

labelme编辑图实例：