Datasets › WOD-C
WOD-C
🤖 Robo3D - The WOD-C Benchmark
WOD-C is an evaluation benchmark heading toward robust and reliable 3D perception in autonomous driving. With it, we probe the robustness of 3D detectors and segmentors under out-of-distribution (OoD) scenarios against corruptions that occur in the real-world environment. Specifically, we consider natural corruptions happen in the following cases:
- Adverse weather conditions, such as fog, wet ground, and snow;
- External disturbances that are caused by motion blur or result in LiDAR beam missing;
- Internal sensor failure, including crosstalk, possible incomplete echo, and cross-sensor scenarios.
WOD-C is part of the Robo3D benchmark. Visit our homepage to explore more details.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Robust 3D Semantic Segmentation | WOD-C | MinkUNet-34 mean Corruption Error (mCE) 96.21% | 4D Spatio-Temporal ConvNets: Minkowski Convolutional... | NVIDIA/MinkowskiEngine +7 | 5 | Compare |
Papers archive 2025-07-28
3 shown of 3 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 5. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation | 2 | 1 | 19 Nov 2020 | not harvested |
| Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution | 6 | 2 | 31 Jul 2020 | ran 0 of 3 samples (3 unverified) |
| 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks | 8 | 2 | 18 Apr 2019 | ran 1 of 2 samples (1 unverified; 2 pointer-only for licence) |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- WOD-C
1 variant name, as the archive lists them.
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