A multi-class driver behavior dataset for real-time detection and road safety enhancementdoi: 10.5281/zenodo.14908802.
This paper introduces a novel dataset designed to support the development of AI-driven driver monitoring systems.The dataset captures real-world driver behaviors under diverse driving conditions, including private vehicles and public buses, in Dhaka, Bangladesh.It comprises 7286 high-resolution images categorized into five Scissors behavioral class