Datasets › CrashD

CrashD

Introduced by Alexander Lehner et al. in 3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection9 Dec 2021 archive 2025-07-28

CrashD is a test benchmark for the robustness and generalization of 3D object detection models. It contains a wide range of out-of-distribution vehicles, including damaged, classic, and sports cars.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 4 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • CrashD

1 variant name, as the archive lists them.

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