{"url":"/dataset/ade-ood","name":"ADE-OoD","full_name":null,"description_markdown":"ADE-OoD is a public benchmark for dense out-of-distribution detection in general natural images. It measures the ability to detect and localize objects which are out-of-distribution with respect to the 150 categories of the ADE20k semantic segmentation dataset.\r\n\r\nThe benchmark data and annotations are available for download at the project page: [ade-ood.github.io/](https://ade-ood.github.io/)","description_withheld":null,"homepage":"https://ade-ood.github.io/","introduced_date":"2024-10-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/diffusion-for-out-of-distribution-detection","title":"Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond","first_author":"Silvio Galesso","url":null},"license":{"name":"ADE20k terms of use","url":"https://groups.csail.mit.edu/vision/datasets/ADE20K/terms/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Out-of-Distribution Detection","url":"/task/out-of-distribution-detection","datasets_with_task":"/datasets/task/out-of-distribution-detection"},{"name":"Novelty Detection","url":"/task/novelty-detection","datasets_with_task":"/datasets/task/novelty-detection"}],"languages":[],"variants":["ADE-OoD"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/out-of-distribution-detection-on-ade-ood","task":"Out-of-Distribution Detection","dataset_variant":"ADE-OoD","rows":4,"metrics":["AP","FPR@95"],"first_row_in_archive_order":{"model":"RbA","paper":"/paper/pixels-together-strong-segmenting-unknown","metrics":{"AP":"66.82","FPR@95":"82.42"},"code_links":[{"title":"NazirNayal8/RbA","url":"https://github.com/NazirNayal8/RbA"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/diffusion-for-out-of-distribution-detection","title":"Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond","date":"2024-07-22","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/pixels-together-strong-segmenting-unknown","title":"RbA: Segmenting Unknown Regions Rejected by All","date":"2022-11-25","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":0,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/far-away-in-the-deep-space-nearest-neighbor","title":"Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection","date":"2022-11-12","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/gmmseg-gaussian-mixture-based-generative","title":"GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models","date":"2022-10-05","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":0,"samples_unverified":3,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":7,"samples_ran":0,"samples_unverified":7,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":2,"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."}