Datasets › ADE-OoD
ADE-OoD
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.
The benchmark data and annotations are available for download at the project page: ade-ood.github.io/
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 | ||||
|---|---|---|---|---|---|---|
| Out-of-Distribution Detection | ADE-OoD | RbA AP 66.82 | RbA: Segmenting Unknown Regions Rejected by All | NazirNayal8/RbA | 4 | Compare |
Papers archive 2025-07-28
4 shown of 4 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 4. 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 | |||
|---|---|---|---|---|
| Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond | 1 | 1 | 22 Jul 2024 | not harvested |
| RbA: Segmenting Unknown Regions Rejected by All | 1 | 1 | 25 Nov 2022 | ran 0 of 4 samples (4 unverified) |
| Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection | 1 | 1 | 12 Nov 2022 | not harvested |
| GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models | 3 | 1 | 5 Oct 2022 | ran 0 of 3 samples (3 unverified) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- ADE-OoD
1 variant name, as the archive lists them.
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