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README.md

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 license: cc-by-nc-nd-4.0
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+## Description
+The 1,000 passenger behavior recognition data covers multiple ages, time periods and light exposure. Passenger behavior includes passenger normal behavior, passenger abnormal behavior (passenger motion sickness behavior, passenger sleepiness behavior, passenger lost children & items behaviors). In terms of acquisition equipment, visible and infrared binocular cameras are used. This set of passenger behavior identification data can be used for passenger behavior analysis and other tasks.
+For more details, please refer to the link: https://www.nexdata.ai/dataset/1279?source=Huggingface
+
+
+## Data size
+1,000 people
+## Population distribution
+gender distribution: male, female; race distribution: Asian; age distribution: 18~45 years old, 46~60 years old, over 60 years old
+## Collecting environment
+in-car Cameras
+## Data diversity
+multiple age groups, multiple time periods, multiple lighting, multiple behaviors (normal behaviors, carsick behaviors, sleepy behaviors, lost children & items behaviors)
+## Device
+visible light and infrared binocular camera, resolution 1,920x1,080
+## Shooting position
+the center of rear view mirror inside the car, above the right A-pillar in the car, front passenger position, above the left B-pillar in the car, above the right B-pillar in the car
+## 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
+## Accuracy
+according to the accuracy of each person's acquisition action, the accuracy exceeds 95%;the accuracy of label annotation is not less than 95%
+# Licensing Information
+Commercial License