Dataset for the Detection of Helmet Use in Motorcycle Drivers
Published: 28 June 2024| Version 1 | DOI: 10.17632/bmy35m25pw.1
Contributors:
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Compilation of 32 videos of motorcycle drivers, where each one participate in two videos, one wearing full or modular type protective helmets and other without helmet. The objective of the collection is to serve as input data to train and test machine learning models that improve motorcycle safety from a driver perspective. This dataset was collected at the Laboratory of Interactive Technologies and User Experience (LITUX) of the Autonomous University of Zacatecas, México, in an open but safe environment for the driver, the camera position was selected in a place where it would not interfere with the dashboard data or vision of the road.
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Institutions
Universidad Autonoma de Zacatecas
Categories
Object Detection, Vehicle Safety, Motorcycle, Deep Learning, Vehicle Mobility