%0 Dataset
%T Typical defect dataset of cracks, leakage, and landslides in high dams and large reservoirs(2023-2025)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/91a7e36a-58a0-4aa0-af0c-92340a0963d9
%W NCDC
%A mao ying chi
%K crack detection;Image Segmentation;deep learning;computer vision
%X In order to enhance the ability to identify structural surface defects of high dams and large reservoirs under natural disasters, the research team continuously improved and constructed typical defect datasets for cracks, leaks, and landslides from 2023 to 2025. The dataset contains a total of 3532 high-resolution images, covering typical defects such as landslides, cracks, water seepage, and precipitates. The images are taken by inspection equipment such as drones, wheeled robots, rail mounted robots, and various types of cameras, and are preprocessed and cropped to form standardized samples.