Home › Datasets › task › Supervised Anomaly Detection

Supervised Anomaly Detection datasets

archive 2025-07-28

4 datasets carry the task tag "Supervised Anomaly Detection" (the task itself: Supervised Anomaly Detection), 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

Supervised Anomaly Detection datasets 1–4 of 4

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
BTAD (beanTech Anomaly Detection)
The BTAD ( beanTech Anomaly Detection) dataset is a real-world industrial anomaly dataset.
61 papers · 2 benchmarks
CHAD (Charlotte Anomaly Dataset)
CHAD: Charlotte Anomaly Dataset CHAD is high-resolution, multi-camera dataset for surveillance video anomaly detection.
7 papers · 1 benchmark
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.
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.