500 Drivers - 7 Expression Recognition Data

Driver expression data

driver expression data collection

driver expression recognition data

human pose data

Seven facial expressions recognition data of 500 drivers cover multiple ages, multiple time periods and multiple expressions. In terms of acquisition equipment, visible and infrared binocular cameras are used. This set of driver expression recognition data can be used for driver expression recognition analysis and other tasks.

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Specifications

Data size

500 people

Population distribution

gender distribution: male, female; race distribution: Vietnam; 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

Collecting time

day, evening, night

Vehicle Type

car, SUV, MVP, truck, coach

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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