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Out-of-Distribution Detection datasets
archive 2025-07-28
24 datasets carry the task tag "Out-of-Distribution Detection" (the task itself: Out-of-Distribution Detection), ordered by the archive's paper count. Page 1 of 1: 24 shown of 24. 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 Detection datasets 1–24 of 24
description withheld: archive row vandalised before snapshot
16,145 papers · 91 benchmarks
The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists of 60000 32x32 color images.
9,045 papers · 51 benchmarks
Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per category.
3,202 papers · 15 benchmarks
SST (Stanford Sentiment Treebank)
The Stanford Sentiment Treebank is a corpus with fully labeled parse trees that allows for a complete analysis of the compositional effects of sentiment in language.
2,354 papers · 6 benchmarks
STL-10 (Self-Taught Learning 10)
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or self-taught learning.
1,092 papers · 18 benchmarks
iSUN is a ground truth of gaze traces on images from the SUN dataset.
108 papers · 0 benchmarks
The Places365 dataset is a scene recognition dataset.
65 papers · 7 benchmarks
It is manually annotated, comes with a naturally diverse distribution, and has a large scale.
29 papers · 0 benchmarks
The 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups.
27 papers · 5 benchmarks
A benchmark dataset for out-of-distribution detection.
27 papers · 1 benchmark
A benchmark dataset for out-of-distribution detection.
26 papers · 1 benchmark
A benchmark dataset for out-of-distribution detection.
21 papers · 1 benchmark
A benchmark dataset for out-of-distribution detection.
19 papers · 1 benchmark
NINCO (No ImageNet Class Objects)
The NINCO (No ImageNet Class Objects) dataset is introduced in the ICML 2023 paper In or Out?
17 papers · 0 benchmarks
A large-scale curated dataset of over 152 million tweets, growing daily, related to COVID-19 chatter generated from January 1st to April 4th at the time of writing.
10 papers · 0 benchmarks
OpenImage-O is built for the ID dataset ImageNet-1k.
6 papers · 1 benchmark
ADE-OoD is a public benchmark for dense out-of-distribution detection in general natural images.
4 papers · 1 benchmark
The NINCO (No ImageNet Class Objects) dataset is introduced in the ICML 2023 paper In or Out?
4 papers · 1 benchmark
Icons-50 is a dataset for studying surface variation robustness.
2 papers · 0 benchmarks
MultiOOD (Multimodal Out-of-Distribution Detection Benchmark)
MultiOOD is the first benchmark for Multimodal OOD Detection and covers diverse dataset sizes and modalities.
2 papers · 0 benchmarks
Pano3D is a new benchmark for depth estimation from spherical panoramas.
2 papers · 0 benchmarks
This dataset was presented as part of the ICLR 2023 paper 𝘈 𝘧𝘳𝘢𝘮𝘦𝘸𝘰𝘳𝘬 𝘧𝘰𝘳 𝘣𝘦𝘯𝘤𝘩𝘮𝘢𝘳𝘬𝘪𝘯𝘨 𝘊𝘭𝘢𝘴𝘴-𝘰𝘶𝘵-𝘰𝘧-𝘥𝘪𝘴𝘵𝘳𝘪𝘣𝘶𝘵𝘪𝘰𝘯 𝘥𝘦𝘵𝘦𝘤𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘪𝘵𝘴 𝘢𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯 𝘵𝘰 𝘐𝘮𝘢𝘨𝘦𝘕𝘦𝘵.
1 paper · 1 benchmark
A genomics dataset for OOD detection that allows other researchers to benchmark progress on this important problem.
1 paper · 0 benchmarks
Simulated pulse Doppler radar signatures for four classes of helicopter-like targets.
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.