Omkar2118/datasets huggingface dataset:
ModelNet40-C
Full name: ModelNet-C

ModelNet40-C is a comprehensive dataset to benchmark the corruption robustness of 3D point cloud recognition.

We create ModelNet40-C based on the ModelNet40 validation set with 15 corruption types and 5 severity levels for each corruption type including density, noise, and transformation corruption patterns. Our dataset contains 185,000 distinct point clouds that help provide a comprehensive picture of model robustness.

Introducing paper: Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions