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1,335 People - Driver Gesture Recognition Data

Driver Gesture Collection Data
Driver Gesture Collection
Driver Collection Data
Driver Gesture Data

1,335 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.

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SpecificationsSpecifications
Data size
1,335 people, each person collects 18 static gestures and 23 dynamic gestures
Gender distribution
666 males, 669 females
Nationality distribution
Vietnam, Indonesia, etc.
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 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, 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%
Sample Sample
  • 1,335 People - Driver Gesture Recognition Data
  • 1,335 People - Driver Gesture Recognition Data
  • 1,335 People - Driver Gesture Recognition Data
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