Driver Monitoring Dataset – 7 Facial Expressions from 1,323 Drivers

driver expression recognition dataset

driver monitoring dataset

in-cabin monitoring data

driver drowsiness detection dataset

facial expression recognition dataset

automotive AI dataset

multimodal driver dataset

RGB infrared driver data

driver fatigue detection dataset

driver attention monitoring

This dataset contains facial expression recognition data from 1,323 drivers, recorded under different ages, time periods, and expression variations. In terms of acquisition equipment, RGB and infrared binocular cameras are used. This dataset of driver expression recognition data can be used for driver monitoring systems (DMS), driver fatigue and drowsiness detection, In-cabin behavior analysis and other tasks.

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Specifications

Data size

1,323 people

Population distribution

gender distribution: 624 males, 699 females; race distribution:Vietnam, Indonesia, etc.; age distribution: 18~45 years old, 46~60 years old, over 60 years old

Collecting environment

in-car Cameras

Data diversity

multiple expressions, multiple ages, multiple time periods

Device

visible light and infrared binocular camera, resolution 1,920x1,080

Shooting position

the center of the inside rear view 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

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 expression, the accuracy exceeds 95%;the accuracy of label annotation is not less than 95%

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