This dataset set has temporal inspection images for the years of 2017 and 2018 of the same 'Nordtank' wind turbine at DTU wind facilities in Roskilde, Denmark.
In UAV aerial photography scenarios, targets exhibit characteristics such as multi-scale distribution, a high proportion of small targets, complex occlusions, and strong background interference. These
Existing publicly available infrared-visible light datasets are primarily developed for pedestrian, vehicle, or vessel detection and cannot meet the requirements for drone detection. To address this g
In this study, we try to solve the problem by using UAV and YOLO, which is one of the deep learning methods, for bridge inspection work, which is concerned about labor shortage and cost. By using deep
