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https://www.nexdata.ai/shujutang/static/image/index/datatang_tuxiang_default.webp
[]
844 Drivers – Driver Behavior Recognition Dataset (RGB & IR)
driver behavior recognition dataset
in-cabin driver monitoring
driver fatigue detection
dangerous driving dataset
RGB IR driver dataset
automotive AI driver behavior
driver visual movement dataset
multimodal driver dataset
This dataset includes diverse drivers across multiple ages, time periods, and lighting conditions, with annotated behaviors including dangerous driving, fatigue, and visual movement behaviors. In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as driver behavior analysis, fatigue and drowsiness detection, dangerous driving recognition and driver attention and visual movement monitoring.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
![Specifications]()
Specifications
Population distribution
gender distribution: 421 males, 423 females; race distribution: Vietnam, Indonesia; age distribution: 18~45 years old, 46~60 years old, over 60 years old
Collecting environment
in-car Cameras
Data diversity
multiple age periods, multiple time periods, multiple lighting and behaviors (Dangerous behavior, Fatigue behavior, Visual movement behavior)
Device
visible light and infrared binocular camera, resolution 1,920x1,080
Shooting position
the center of the inside rearview mirror of the car, above the center console in the car, above the left A-pillar in the car, steering wheel position, rearview mirror wide angle lens position
Collecting time
day, evening, night
Collecting light
normal light, weak light, strong light
Vehicle Type
car, SUV, MVP, truck, bus
Data Format
the video data format is .mp4
Accuracy
according to the accuracy of each person's acquisition action, the accuracy exceeds 95%;the accuracy of label annotation is not less than 95%
![Sample]()
Sample
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77a90c36-d741-4085-9ae9-989c4ca8e647
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