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Anomaly Classification datasets
archive 2025-07-28
9 datasets carry the task tag "Anomaly Classification" (the task itself: Anomaly Classification), 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
Anomaly Classification datasets 1–9 of 9
MVTecAD (MVTEC ANOMALY DETECTION DATASET)
MVTec AD is a dataset for benchmarking anomaly detection methods with a focus on industrial inspection.
402 papers · 4 benchmarks
VisA (Visual Anomaly Dataset)
The VisA dataset contains 12 subsets corresponding to 12 different objects as shown in the above figure.
86 papers · 3 benchmarks
The GoodsAD dataset contains 6124 images with 6 categories of common supermarket goods.
15 papers · 1 benchmark
ELPV (A dataset of functional and defective solar cells extracted from EL images of solar modules)
The dataset contains 2,624 samples of 300×300 pixels 8-bit grayscale images of functional and defective solar cells with varying degree of degradations extracted from 44 different solar modules.
14 papers · 0 benchmarks
Overview The edeniss2020 dataset is a time series dataset.
2 papers · 0 benchmarks
Hawk Annotation Dataset includes language descriptions specifically for anomaly scenes in seven existing video anomaly datasets.
1 paper · 0 benchmarks
MVTec-AC is a curated refinement of the widely-used MVTec-AD dataset, specifically designed for anomaly classification—distinguishing between different types of anomalies rather than merely detecting if an image is anomalous.
1 paper · 2 benchmarks
VisA-AC is a refined benchmark based on the VisA dataset, tailored for the task of anomaly classification—distinguishing between different types of anomalies rather than simply detecting whether an image is anomalous.
1 paper · 1 benchmark
The Lusitano dataset was collected over a 3-month period, spanning from January to March, from Paulo de Oliveira, S.A., a prominent textile company, based in Covilhã, Portugal, renowned for its innovative contributions to the textile…
0 papers · 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.