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 im...

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Bibliographic Details
Main Authors: Arafat Sahin Afridi, Arafath Kafy, Ms. Nazmun Nessa Moon, Md. Shahriar Shakil
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340925002616
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