URDD: An open dataset for urban roadway disease detection and classification

We present two urban road disease datasets: DURDD for road disease detection and CURDD for road disease classification. DURDD includes four main types of underground road diseases: cavity, detachment, water-rich, and looseness. 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, looseness, and background. Level 0 categories combine the four main disease types mentioned earlier into a single "diseases" category, with the other category being "background." This dataset was jointly published by Hebei University and the 519 Team of North China Geological Exploration Bureau. We support individuals or teams using the data for research purposes. We also welcome collaboration for commercial use. For commercial inquiries, please contact us for authorization.本研究发布两款城市道路病害数据集：面向道路病害检测的DURDD，以及面向道路病害分类的CURDD。DURDD包含四类主要的地下道路病害：空洞、脱空、富水以及松散，同时提供三种标准标注格式的病害检测数据集：COCO、Pascal VOC以及YOLO。CURDD分为两个层级：层级0与层级1，分别对应"Cls0"与"Cls1"目录。层级1包含空洞、脱空、富水、松散以及背景类别；层级0则将前述四类主要病害合并为单一的"病害"类别，其余类别为"背景"。本数据集由河北大学与华北地质勘查局519队联合发布。我们支持个人或团队将本数据集用于科研用途，亦欢迎开展商业应用方面的合作。如需商业合作咨询，请联系我们获取授权。