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Out of Distribution (OOD) Detection datasets

archive 2025-07-28

9 datasets carry the task tag "Out of Distribution (OOD) Detection" (the task itself: Out of Distribution (OOD) Detection), ordered by the archive's paper count. Page 1 of 1: 9 shown of 9. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Out of Distribution (OOD) Detection datasets 1–9 of 9

description withheld: archive row vandalised before snapshot
16,145 papers · 91 benchmarks
SNIPS (SNIPS Natural Language Understanding benchmark)
The SNIPS Natural Language Understanding benchmark is a dataset of over 16,000 crowdsourced queries distributed among 7 user intents of various complexity: SearchCreativeWork (e.g.
256 papers · 6 benchmarks
ImageNet-O consists of images from classes that are not found in the ImageNet-1k dataset.
89 papers · 0 benchmarks
It is manually annotated, comes with a naturally diverse distribution, and has a large scale.
29 papers · 0 benchmarks
ImageNet-1k vs NINCO (No ImageNet Class Objects)
The NINCO (No ImageNet Class Objects) dataset is introduced in the ICML 2023 paper In or Out?
4 papers · 1 benchmark
MUAD (Multiple Uncertainties for Autonomous Driving)
The MUAD dataset (Multiple Uncertainties for Autonomous Driving), consisting of 10,413 realistic synthetic images with diverse adverse weather conditions (night, fog, rain, snow), out-of-distribution objects, and annotations for semantic…
4 papers · 0 benchmarks
The PATIS is a Persian language dataset for intent detection and slot filling.
2 papers · 2 benchmarks
FathomNet2023 (FathomNet2023 Competition Dataset)
The FathomNet2023 competition dataset is a subset of the broader FathomNet marine image repository.
1 paper · 0 benchmarks
In this dataset, various objects are arranged on a white table.
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.