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Published January 28, 2022 | Version v1
Dataset Open

ModelNet40-C

Creators

  • 1. University of Michigan
  • 2. LLNL
  • 3. NVIDIA
  • 4. NVIDIA, ASU

Description

We create the ModelNet40-C dataset, which contains 185,100 point clouds from 40 classes, 15 corruption types, and 5 severity levels. We provide a detailed taxonomy of the constructed corruption types. ModelNet40-C is, to the best of our knowledge, the first comprehensive dataset for benchmarking corruption robustness of 3D point cloud classification. This dataset is from our arXiv paper: Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions.

Files

modelnet40_c.zip

Files (2.0 GB)

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