Charlotte Anomaly Dataset
CHAD is high-resolution, multi-camera dataset for surveillance video anomaly detection. It includes bounding box, Re-ID, and pose annotations, as well as frame-level anomaly labels, dividing all frames into two groups of anomalous or normal. You can find the paper with all the details in the following link: CHAD: Charlotte Anomaly Dataset. Please refer to the page of the dataset for more information.
Variants: CHAD
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Video Anomaly Detection | PoseWatch-H | PoseWatch: A Transformer-based Architecture for … | 2024-08-27 |
Recent papers with results on this dataset: