{"url":"/dataset/multiood","name":"MultiOOD","full_name":"Multimodal Out-of-Distribution Detection Benchmark","description_markdown":"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.","description_withheld":null,"homepage":"https://github.com/donghao51/MultiOOD/","introduced_date":"2024-05-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/multiood-scaling-out-of-distribution","title":"MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities","first_author":"Hao Dong","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Out-of-Distribution Detection","url":"/task/out-of-distribution-detection","datasets_with_task":"/datasets/task/out-of-distribution-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MultiOOD"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}