A large-scale urban building facade dataset for semantic-level and instance-level segmentation from MLS LiDAR point clouds. The collection includes diverse streets in Xiamen, China. Useful for research in semantic segmentation, urban modeling, and point cloud completion.
A comprehensive dataset covering 1,000+ km of roads in Xiamen with 3D point clouds, GNSS, and video images. It supports autonomous driving decision-making research and has been adopted by 600+ organizations worldwide.