CHAD: 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.

This dataset collection provides trajectory datasets of - synthetic trajectories with variants of different noise and novelty levels - brightkite with labels for evaluation - amazon drivers with labels for evaluation - Deutsche Bahn DBCargo shipcontainer trajectories with labels for evaluation