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122 People - Passenger Behavior Recognition Data. The data includes multiple age groups, multiple time periods and multiple races (Caucasian, Black, Indian). The passenger behaviors include passenger normal behavior, passenger abnormal behavior(passenger carsick behavior, passenger sleepy behavior, passenger lost items behavior). In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as passenger behavior analysis.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
122 people
Population distribution
gender distribution: 86 males, 36 females; race distribution: 30 Caucasians, 87 Blacks, 5 Indians; age distribution: 94 people aged from 18 to 30, 26 people aged from 31 to 45, 2 people aged from 46 to 60
Collecting environment
In-cabin cameras
Data diversity
multiple age groups, multiple time periods, multiple behaviors (normal behaviors, carsick behaviors, sleepy behaviors, lost items behaviors)
Device
Binocular camera of RGB and infrared channels, the resolutions are 640x480, 20fps
Shooting position
the center of rear view mirror inside the car, above the right A-pillar in the car, above the left B-pillar in the car, above the right B-pillar in the car
Collecting time
day, evening, night
Vehicle type
car, SUV
Data Format
the video data format is .avi
Accuracy
collection accuracy: based on the accuracy of the actions, the accuracy exceeds 95%; annotation accuracy: the accuracy of label annotation is not less than 95%
Sample
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