DAD (Driver Anomaly Detection)
Introduced by Köpüklü et al. in Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
Contains normal driving videos together with a set of anomalous actions in its training set. In the test set of the DAD dataset, there are unseen anomalous actions that still need to be winnowed out from normal driving.
Source: Driver Anomaly Detection: A Dataset and Contrastive Learning ApproachPapers
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