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Unsupervised Anomaly Detection with Specified Settings -- 30% anomaly datasets

archive 2025-07-28

4 datasets carry the task tag "Unsupervised Anomaly Detection with Specified Settings -- 30% anomaly" (the task itself: Unsupervised Anomaly Detection with Specified Settings -- 30% anomaly), ordered by the archive's paper count. Page 1 of 1: 4 shown of 4. 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

All 12,172 Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Unsupervised Anomaly Detection with Specified Settings -- 30% anomaly 4

Unsupervised Anomaly Detection with Specified Settings -- 30% anomaly datasets 1–4 of 4

CIFAR-10
description withheld: archive row vandalised before snapshot
ImagesImage ClassificationClassificationImage GenerationZero-Shot LearningAnomaly DetectionImage Retrieval+58 tasks
16,145 papers · 91 benchmarks
MNIST
The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits.
ImagesImage ClassificationSpeech RecognitionQuestion AnsweringImage GenerationText ClassificationAnomaly Detection+55 tasks
7,651 papers · 44 benchmarks
Fashion-MNIST
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.
ImagesImage ClassificationImage GenerationAnomaly DetectionImage ClusteringOut-of-Distribution DetectionDomain Generalization+11 tasks
3,202 papers · 15 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.
ImagesImage ClassificationImage GenerationAnomaly DetectionSemi-Supervised Image ClassificationImage ClusteringOut-of-Distribution Detection+12 tasks
1,092 papers · 18 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.