DAVE is a manually annotated Indian traffic video dataset with 16 actor types and 16 action types, meant to benchmark perception in complex, vulnerable-road-user-heavy environments.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments
DAVE is a manually annotated Indian traffic video dataset with 16 actor types and 16 action types, meant to benchmark perception in complex, vulnerable-road-user-heavy environments.