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1,4444 People - Passenger Behavior Recognition Data
Multiple age groups
Multiple time periods
Multiple behaviors (normal behaviors
Carsick behaviors
Sleepy behaviors
Lost items behaviors)
The 1,444 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.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
1,444 people
Population distribution
gender distribution: 747 males, 697 females; 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, rearview mirror wide angle lens position
Collecting time
day, evening, night
Collecting light
normal light, weak light, strong light
Vehicle Type
Car, SUV, MVP, Truck, Bus
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%