Datasets › MultiOOD

MultiOOD (Multimodal Out-of-Distribution Detection Benchmark)

Introduced by Hao Dong et al. in MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities27 May 2024 archive 2025-07-28

MultiOOD is the first benchmark for Multimodal OOD Detection and covers diverse dataset sizes and modalities. MultiOOD comprises five video datasets with over 85, 000 video clips in total. The datasets vary in the number of classes, ranging from 7 to 229, and in size, spanning from 3k to 57k. Video, optical flow, and audio are used as different types of modalities.

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 2 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

Languages archive 2025-07-28

Variants archive 2025-07-28

  • MultiOOD

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections