Aerial-PDD2023

The road crack data set was shot by UAV at an altitude of 30 meters, and the width of the road was 15 meters. We have processed into the standard VOC dataset format The Aerial-PDD dataset, captured by unmanned aerial vehicles (UAVs), provides a foundation for road damage detection tasks using drones. It is highly useful for municipal authorities and road agencies to conduct low-cost road condition monitoring. Six kinds of road diseases were marked in the data set:Longitudinal cracks (LC), Transverse cracks (TC), Alligator cracks (AC), Oblique crack(OC),Repair(RP) and Potholes (PH). Deep learning researchers can employ this dataset as a benchmark to evaluate the performance of different algorithms in addressing similar problems, such as image classification and object detection. The dataset processing tools are accessible:https://github.com/Yian-hao/Dataset-Tools