1,000 People Driver Behavior Identification Data

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1,000 People Driver Behavior Identification Data_1,000 People Driver Behavior Identification Data

1,000 People Driver Behavior Identification Data

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1,000 People-Driver Behavior Identification Data. The data includes multiple ages, multiple time periods and multiple lighting. The driver behaviors includes Dangerous behavior, fatigue behavior and visual movement behavior. In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as driver behavior analysis.

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Specifications

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 periods, multiple time periods, multiple lighting and behaviors (Dangerous behavior, Fatigue behavior, Visual movement behavior)

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

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%

The explicitly authorized and high-quality training dataset of the acquiree helps you start your AI project quickly

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1,000 People Driver Behavior Identification Data

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1,000 People Driver Behavior Identification Data