Junxi-Chen/Awesome-Video-Anomaly-Detection
A curated collection of papers, code, datasets, and utilities for Video Anomaly Detection, updated every Friday.
This resource helps professionals working with video footage identify and understand unusual or unexpected events automatically. It provides a curated collection of research papers, code implementations, and datasets related to detecting anomalies in videos. Security analysts, quality control inspectors, or operations managers who monitor video feeds can use this to stay updated on the latest techniques for flagging abnormal activities.
140 stars. No commits in the last 6 months.
Use this if you need to research, implement, or benchmark advanced video anomaly detection systems to automatically flag unusual events in surveillance, industrial, or public safety video streams.
Not ideal if you are looking for a ready-to-use software solution for immediate deployment rather than a collection of research resources.
Stars
140
Forks
8
Language
Python
License
AGPL-3.0
Category
Last pushed
Jul 24, 2025
Commits (30d)
0
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