1,003 Drivers – Driver Behavior Collection Dataset (RGB & IR)

in-cabin driver monitoring dataset

driver fatigue detection dataset

dangerous driving behavior dataset

driver attention monitoring dataset

automotive AI driver monitoring

multimodal driver monitoring dataset

driver behavior analysis dataset

This dataset includes multiple ages and multiple time periods. The driver behaviors includes dangerous behavior, fatigue behavior and visual movement behavior. In terms of device, binocular cameras of RGB and infrared channels were applied. This dataset is suitable for driver behavior analysis, fatigue and attention monitoring, dangerous driving detection, and training AI models for intelligent in-cabin monitoring systems.

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Specifications

Data size

1,003 people

Population

gender distribution: 503 males, 500 females; race distribution: Asian; age distribution: 407 people from aged 18 to 30, 394 people from aged 31 to 45, 202 people from aged 46 to 60

Collection environment

In-car Cameras

Collection diversity

multiple ages, multiple time periods and behaviors (Dangerous behavior, Fatigue behavior, Visual movement behavior)

Collection device

binocular camera of RGB and infrared channels, the resolutions are 640x480

Collection time

day, evening and night

Image parameter

the video format is .avi

Desensitization

no sensitive information

Accuracy

according to the accuracy of each person's action, the accuracy is greater than 95%

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