Datasets > Modality > 3D > PartNet

PartNet is a consistent, large-scale dataset of 3D objects annotated with fine-grained, instance-level, and hierarchical 3D part information. The dataset consists of 573,585 part instances over 26,671 3D models covering 24 object categories. This dataset enables and serves as a catalyst for many tasks such as shape analysis, dynamic 3D scene modeling and simulation, affordance analysis, and others.

Source: PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

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