Blade damage inspection without stopping the normal operation of wind turbines has significant economic value. This study proposes an AI-based method AQUADA-Seg to segment the images of blades from co
Dataset for the paper "Synthetic Imagery Aided Geographic Domain Adaptation for Rare Energy Infrastructure Detection in Remotely Sensed Imagery". The dataset consist of 4 folders which conta
ITCVD dataset is a large-scale, well annotated and challenging vehicle detection dataset. The images were taken from an airplane platform which flied over Enschede, The...
Growd Detection Dataset This dataset comprises aerial images captured from varying altitudes using UAVs. The dataset includes annotations in the form of both bounding boxes and point annotations, tot