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SEVD: Synthetic Event-based Vision Dataset by nghoanganh02092003 is a document available to read on EtoBox.

The SEVD dataset is a Synthetic Event-based Vision Dataset designed for autonomous driving and traffic monitoring, featuring 27 hours of fixed and 31 hours of ego perception data with over 9 million bounding boxes. It includes multi-view recordings from various sensors under diverse conditions, organized in a structured folder system. The dataset is available under the Creative Commons Attribution-NonCommercial-ShareAlike license and aims to address the scarcity of synthetic event-based datasets in the fiel

Author

nghoanganh02092003

Language

EN