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.
A dataset for robustness analysis of point cloud classification models (independent of data augmentation) to input transformations. Source: RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers