PartNet is a large-scale 3D object dataset with fine-grained, instance-level, and hierarchical 3D part information annotated. The dataset consists of 573,585 part instances of 26,671 3D models, covering 24 object categories.

This dataset can be used for a variety of tasks, such as shape analysis, dynamic 3D scene modeling and simulation, load bearing analysis, etc.