We present the Dayton Annotated Laser Earth Scan (DALES) data set, a new large-scale aerial LiDAR data set with nearly a half-billion points spanning 10 square kilometers of area. DALES contains forty scenes of dense, labeled aerial data spanning multiple scene types, including urban, suburban, rural, and commercial. The data was hand-labeled by a team of expert LiDAR technicians into eight categories: ground, vegetation, cars, trucks, poles, power lines, fences, and buildings. We present the entire data set, split into testing and training, and provided in 3 different data formats. The goal of this data set is to help advance the field of deep learning within aerial LiDAR.
https://udayton.edu/engineering/research/centers/vision_lab/research/was_data_analysis_and_processing/dale.php