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500 People - Driver Gesture Recognition Data covers multiple age groups, multiple time periods, and multiple gestures. In terms of acquisition equipment, visible light and infrared binocular cameras are used. Each person collected 18 static gestures and 23 dynamic gestures. Static gestures included fist-clenching gestures and heart-to-heart gestures, and dynamic gestures included index finger clicks and two-finger clicks. This set of driver gesture recognition data can be used for tasks such as driver gesture recognition.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
500 people, each person collects 18 static gestures and 23 dynamic gestures
Gender distribution
male, female
Nationality distribution
Vietnam
Age distribution
18~45 years old, 46~60 years old, over 60 years old
Collecting environment
in-car camera shooting scene
Data diversity
covering multiple gestures, multiple age groups, and multiple time periods
Device
visible light and infrared binocular camera, resolution are 1,920x1,080
Shooting position
the center of the interior rearview mirror, the top of the center console, the top of the A-pillar on the left side of the car, the steering wheel position
Collecting time
day, evening, night
Collecting light
normal light, weak light, strong light
Vehicle type
car, SUV, MVP, truck, coach
Data format
the video data format is .mp4, the image data format is .jpg
Accuracy
based on the accuracy of the actions, the accuracy exceeds 95%;the label naming accuracy rate is over 95%