Driver Risk Behavior Dataset for Embedded Vision Applications

This dataset contains annotated images of simulated driver behaviors captured in real driving environments. The four labeled behavior classes are:

Neutral: normal driving posture without distractions

Distraction: visual deviation from the road (e.g., looking away)

Microsleep: eyes closed or semi-closed, simulating drowsiness

Cellphone Use: using a mobile phone while driving

Images were collected using an AMB82-Mini embedded board positioned in the co-pilot seat, with a camera facing the driver. Data acquisition was conducted in multiple vehicles and lighting conditions to ensure variability and realism. All images are labeled in YOLO format and anonymized to remove any identifiable facial features.

This dataset is intended for training and evaluating real-time computer vision models on low-power embedded systems for driver monitoring tasks.

Format:

Image format: .jpg

Annotation format: YOLO (.txt)

Resolution: 1920×1080 px