Home › Datasets › task › Video Anomaly Detection

Video Anomaly Detection datasets

archive 2025-07-28

17 datasets carry the task tag "Video Anomaly Detection" (the task itself: Video Anomaly Detection), ordered by the archive's paper count. Page 1 of 1: 17 shown of 17. 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

Video Anomaly Detection datasets 1–17 of 17

The ShanghaiTech Campus dataset has 13 scenes with complex light conditions and camera angles.
207 papers · 4 benchmarks
UCSD Ped2 (UCSD Anomaly Detection Dataset)
The UCSD Anomaly Detection Dataset was acquired with a stationary camera mounted at an elevation, overlooking pedestrian walkways.
92 papers · 4 benchmarks
XD-Violence is a large-scale audio-visual dataset for violence detection in videos.
58 papers · 2 benchmarks
Avenue Dataset contains 16 training and 21 testing video clips.
48 papers · 2 benchmarks
UBnormal (University of Bucharest Abnormal Videos)
UBnormal is a new supervised open-set benchmark composed of multiple virtual scenes for video anomaly detection.
47 papers · 3 benchmarks
Street Scene is a dataset for video anomaly detection.
26 papers · 3 benchmarks
The GoodsAD dataset contains 6124 images with 6 categories of common supermarket goods.
15 papers · 1 benchmark
The human-Related version of the ShanghaiTech Campus, was first presented by Morais et al.
14 papers · 1 benchmark
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.
11 papers · 3 benchmarks
The human-Related version of the CUHK Avenue dataset, first presented by Morais et al.
11 papers · 1 benchmark
CHAD (Charlotte Anomaly Dataset)
CHAD: Charlotte Anomaly Dataset CHAD is high-resolution, multi-camera dataset for surveillance video anomaly detection.
7 papers · 1 benchmark
The Human Related version of UBnormal ("UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection," Acsintoae et al.) was introduced by Flaborea et al.
7 papers · 1 benchmark
An abnormal activity data-set for research use that contains 4,83,566 annotated frames.
5 papers · 2 benchmarks
Hawk Annotation Dataset includes language descriptions specifically for anomaly scenes in seven existing video anomaly datasets.
1 paper · 0 benchmarks
CamNuvem Dataset (CamNuvem: A Robbery Dataset for Video Anomaly Detection)
This dataset focuses only on the robbery category, presenting a new weakly labelled dataset that contains 486 new real–world robbery surveillance videos acquired from public sources.
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.