Point cloud 3D annotation is an annotation method marking targets (e.g., vehicles, pedestrians, buildings) in 3D point cloud data (e.g., 3D bounding box, semantic segmentation), retaining target spatial structure information, used for autonomous driving and industrial quality inspection model training.
