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README.md

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 license: cc-by-nc-nd-4.0
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+## Description
+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.
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+For more details, please refer to the link: https://www.nexdata.ai/dataset/1294?source=Huggingface
+
+
+## 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%
+# Licensing Information
+Commercial License