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Unsupervised Anomaly Detection datasets

archive 2025-07-28

27 datasets carry the task tag "Unsupervised Anomaly Detection" (the task itself: Unsupervised Anomaly Detection), ordered by the archive's paper count. Page 1 of 1: 27 shown of 27. 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.

Unsupervised Anomaly Detection datasets 1–27 of 27

MNIST

The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits.

Images Image Classification Speech Recognition Question Answering Image Generation Text Classification Anomaly 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.

Images Image Classification Image Generation Anomaly Detection Image Clustering Out-of-Distribution Detection Domain 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.

Images Image Classification Image Generation Anomaly Detection Semi-Supervised Image Classification Image Clustering Out-of-Distribution Detection+12 tasks

1,092 papers · 18 benchmarks

Caltech-101

The Caltech101 dataset contains images from 101 object categories (e.g., “helicopter”, “elephant” and “chair” etc.) and a background category that contains the images not from the 101 object categories.

Images Zero-Shot Learning Semi-Supervised Image Classification Image Clustering Fine-Grained Image Classification Unsupervised Anomaly Detection Transductive Zero-Shot Classification+3 tasks

709 papers · 10 benchmarks

MVTecAD (MVTEC ANOMALY DETECTION DATASET)

MVTec AD is a dataset for benchmarking anomaly detection methods with a focus on industrial inspection.

Images Anomaly Detection Unsupervised Anomaly Detection Outlier Detection Anomaly Classification Supervised Anomaly Detection zero-shot anomaly detection+1 tasks

402 papers · 4 benchmarks

SMAP (Soil Moisture Active Passive)

Soil Moisture Active Passive (SMAP) dataset is a dataset of soil samples and telemetry information using the Mars rover by NASA.

Time series Unsupervised Anomaly Detection Time Series Anomaly Detection

127 papers · 2 benchmarks

Reuters-21578

The Reuters-21578 dataset is a collection of documents with news articles.

Graphs Text Classification Unsupervised Anomaly Detection Document Classification Multi-Label Text Classification Text Retrieval Multi-Modal Document Classification+1 tasks

66 papers · 5 benchmarks

MIMII

Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection (MIMII) is a sound dataset of industrial machine sounds.

Audio Anomaly Detection Unsupervised Anomaly Detection Open Set Learning

40 papers · 0 benchmarks

MVTec LOCO AD (MVTec Logical Constraints Anomaly Detection)

MVTec Logical Constraints Anomaly Detection (MVTec LOCO AD) dataset is intended for the evaluation of unsupervised anomaly localization algorithms.

Anomaly Detection Unsupervised Anomaly Detection Semi-supervised Anomaly Detection

32 papers · 1 benchmark

KolektorSDD (Kolektor Surface-Defect Dataset)

The dataset is constructed from images of defective production items that were provided and annotated by Kolektor Group d.o.o..

Images Unsupervised Anomaly Detection Defect Detection Weakly Supervised Defect Detection

15 papers · 1 benchmark

KolektorSDD2 (Kolektor Surface-Defect Dataset 2)

KolektorSDD2 is a surface-defect detection dataset with over 3000 images containing several types of defects, obtained while addressing a real-world industrial problem.

Images Unsupervised Anomaly Detection Defect Detection Weakly Supervised Defect Detection Supervised Defect Detection Self-Supervised Anomaly Detection

15 papers · 2 benchmarks

ToyADMOS

ToyADMOS dataset is a machine operating sounds dataset of approximately 540 hours of normal machine operating sounds and over 12,000 samples of anomalous sounds collected with four microphones at a 48kHz sampling rate, prepared by Yuma…

Audio Anomaly Detection Unsupervised Anomaly Detection Open Set Learning

15 papers · 0 benchmarks

AeBAD (Aero-engine Blade Anomaly Detection Dataset)

Unlike previous datasets that focus on detecting the diversity of defect categories (like MVTec AD and VisA), AeBAD is centered on the diversity of domains within the same data category.

Images Anomaly Detection Unsupervised Anomaly Detection Video Anomaly Detection

11 papers · 3 benchmarks

SMD (Server Machine Dataset)

a dataset of time-series anomaly detection

Anomaly Detection Time Series Analysis Unsupervised Anomaly Detection Time Series Anomaly Detection

10 papers · 3 benchmarks

CHAD (Charlotte Anomaly Dataset)

CHAD: Charlotte Anomaly Dataset CHAD is high-resolution, multi-camera dataset for surveillance video anomaly detection.

Videos RGB Video Anomaly Detection Unsupervised Anomaly Detection Video Anomaly Detection Supervised Anomaly Detection Group Anomaly Detection

7 papers · 1 benchmark

UBI-Fights (Abnormal Event Detection Dataset)

UBI-Fights - Concerning a specific anomaly detection and still providing a wide diversity in fighting scenarios, the UBI-Fights dataset is a unique new large-scale dataset of 80 hours of video fully annotated at the frame level.

Images Videos RGB Video Anomaly Detection Unsupervised Anomaly Detection Anomaly Detection In Surveillance Videos Abnormal Event Detection In Video Semi-supervised Anomaly Detection Weakly Supervised Classification+1 tasks

7 papers · 2 benchmarks

AnoShift (AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection)

AnoShift is a large-scale anomaly detection benchmark, which focuses on splitting the test data based on its temporal distance to the training set, introducing three testing splits: IID, NEAR, and FAR.

Tabular Time series Anomaly Detection Unsupervised Anomaly Detection

6 papers · 1 benchmark

DAGM2007

This is a synthetic dataset for defect detection on textured surfaces.

Images Unsupervised Anomaly Detection Defect Detection Weakly Supervised Defect Detection

6 papers · 1 benchmark

ECG5000

The original dataset for "ECG5000" is a 20-hour long ECG downloaded from Physionet.

Time Series Classification Unsupervised Anomaly Detection Outlier Detection

6 papers · 3 benchmarks

Failure-Dataset-OpenStack

This failure dataset contains information on the events collected in the OpenStack cloud computing platform during three different campaigns of fault-injection experiments performed with three different workloads.

Anomaly Detection Unsupervised Anomaly Detection Clustering Algorithms Evaluation

2 papers · 0 benchmarks

MIAD

MIAD contains more than 100K high-resolution color images in various outdoor industrial scenarios, designed for unsupervised anomaly detection.

Images Anomaly Detection Unsupervised Anomaly Detection

2 papers · 0 benchmarks

PAD Dataset (Pose-agnostic/Multi-pose Anomaly Detection Dataset)

Multi-pose Anomaly Detection (MAD) dataset, which represents the first attempt to evaluate the performance of pose-agnostic anomaly detection.

Images Anomaly Detection Unsupervised Anomaly Detection

2 papers · 1 benchmark

Vehicle Claims

The code to create the dataset is available here.

Tabular Anomaly Detection Unsupervised Anomaly Detection Fraud Detection

2 papers · 2 benchmarks

ISP-AD (The Industrial Screen Printing Anomaly Detection Dataset)

The ISP-AD Dataset is a large-scale anomaly detection dataset, representing a real-world industrial use case.

Images Anomaly Detection Unsupervised Anomaly Detection Defect Detection Weakly Supervised Defect Detection Supervised Anomaly Detection Supervised Defect Detection+1 tasks

1 paper · 0 benchmarks

ITD (Industrial Textile Dataset)

This dataset aims to provide a color dataset with real industrial fabric defect gathered in a visiting machine with several industrial cameras.

Unsupervised Anomaly Detection Texture Classification

1 paper · 0 benchmarks

PRONTO (PRONTO heterogeneous benchmark dataset)

The PRONTO heterogeneous benchmark dataset is based on an industrial-scale multiphase flow facility.

Time series Unsupervised Anomaly Detection Fault Detection

1 paper · 1 benchmark

SPOT-10 (Animal Pattern Benchmark Dataset for Machine Learning Algorithms)

The SPOTS-10 dataset is an extensive collection of grayscale images showcasing diverse patterns found in ten animal species.

Images Image Classification Classification Image Generation Anomaly Detection Graph Classification Continual Learning+3 tasks

1 paper · 1 benchmark

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.

Unsupervised Anomaly Detection datasets

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

Unsupervised Anomaly Detection datasets 1–27 of 27