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

本数据集包含在真实驾驶环境中采集的模拟驾驶行为标注图像，共设四类标注行为类别：
中性（Neutral）：无分心的正常驾驶姿态
分心（Distraction）：视线偏离道路（例如看向别处）
微睡眠（Microsleep）：双眼闭合或半闭合，模拟驾驶困倦状态
手机使用（Cellphone Use）：驾驶时使用移动电话

图像采集通过放置于副驾驶座椅的AMB82-Mini嵌入式板卡完成，搭配朝向驾驶员的摄像头采集数据。数据采集在多种车辆及光照条件下开展，以保障数据集的多样性与真实性。所有图像均采用YOLO格式标注，并已完成匿名化处理以移除所有可识别的面部特征。

本数据集旨在面向驾驶员监测任务，用于在低功耗嵌入式系统上训练与评估实时计算机视觉模型。

数据集格式：
图像格式：.jpg
标注格式：YOLO（.txt）
分辨率：1920×1080像素