Liyun1009/MSAD
MSAD: Multi-Scenario Anomaly Detection Dataset A video anomaly detection benchmark introduced at NeurIPS 2024, Datasets and Benchmarks Track. Overview Multi-Scenario Anomaly Detection (MSAD) is a real-world RGB video benchmark for studying anomaly detection across diverse indoor and outdoor environments. It was introduced in “Advancing Video Anomaly Detection: A Concise Review and a New Dataset” by Liyun Zhu, Lei Wang, Arjun Raj, Tom Gedeon, and Chen Chen. MSAD… See the full description on the dataset page: https://huggingface.co/datasets/Liyun1009/MSAD.
| Author / organization | Liyun1009 |
|---|---|
| Downloads | 215 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 10 October 2026 |
| Last updated at source | 10 October 2026 |
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