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.
For more details, please refer to the link: https://www.nexdata.ai/datasets/computervision/1294?source=Github
500 people, each person collects 18 static gestures and 23 dynamic gestures
male, female
Vietnam
18-45 years old, 46-60 years old, over 60 years old
in-car camera shooting scene
covering multiple gestures, multiple age groups, and multiple time periods
visible light and infrared binocular camera, resolution are 1,920x1,080
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
day, evening, night
normal light, weak light, strong light
car, SUV, MVP, truck, coach
the video data format is .mp4, the image data format is .jpg
based on the accuracy of the actions, the accuracy exceeds 95%;the label naming accuracy rate is over 95%
Commercial License