Li, Xinke, et al. "Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene." Proceedings of the 28th ACM International Conference on Multimedia. 2020.
This dataset was generated from unmanned aerial vehicle photography and covers 1.58 square km area of National University of Singapore campus. It consists of around 1 billion points.
Each point is annotated by a hierarchical and instance-based label. There are 2,530 modality-based instances, 24 semantic classes and 6 pattern-based regions.
This dataset can be used for object detection, semantic segmentation, instance segmentation, fast scene understanding, object detection, 3D model reconstruction and etc.
Start to understand and use Campus3D.