304 Multi-Race Drivers – Driver Behavior Collection Dataset (RGB & IR)

driver behavior dataset

in-cabin driver monitoring

driver fatigue detection

dangerous driving dataset

driver attention monitoring

driver visual movement dataset

multimodal driver dataset

RGB IR driver dataset

automotive AI driver monitoring

multi-race driver dataset

The data includes multiple ages, time periods and races (Caucasian, Black, Indian). 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 ideal for driver behavior analysis, fatigue detection, attention monitoring, and developing intelligent in-cabin monitoring systems for automotive safety applications.

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Specifications

Data size

304 people

Population distribution

gender distribution: 192 males, 112 females; race distribution: 90 Caucasians, 194 blacks, 20 Indians; age distribution: 226 people aged from 18 to 30, 74 people aged from 31 to 45, 4 people aged from 46 to 60

Collection environment

In-car Cameras

Collection diversity

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

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

Accuracy

according to the accuracy of each person's action, the accuracy is greater than 95%; the accuracy of label annotation is not less than 95%

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