URDD: An open dataset for urban roadway disease detection and classification
Description
The urban road disease datasets we provide include DURDD and CURDD detection and classification, respectively. DURDD includes four main types of underground road diseases: cavity, detachment, water-rich, losseness. It also contains disease detection datasets in three base formats: COCO, Pascal VOC, and YOLO. In CURDD, the dataset is divided into two levels: level 0 and level 1, corresponding to the "Cls0" and "Cls1" catalogs, respectively. Level 1 includes cavity, detachment, water-rich, losseness, and background. Level 0 categories combine the four main disease types mentioned earlier into a single "diseases" category, with the other category being "background."
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Funding
National Natural Science Foundation of China
62172139
Funded by S&T Program of Hebei Province
246Z0104G
Science Foundation Science Research Project of Hebei Province
CXY2024031
Hebei University Research and Innovation Team Support Project
IT2023B05