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README.md

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+## Description
+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.
+
+For more details, please refer to the link: https://www.nexdata.ai/dataset/1293?source=Huggingface
+
+
+## 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%
+# Licensing Information
+Commercial License