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.
For more details, please refer to the link: https://www.nexdata.ai/datasets/1083?source=Github
122 people
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
In-cabin cameras
multiple age groups, multiple time periods, multiple behaviors (normal behaviors, carsick behaviors, sleepy behaviors, lost items behaviors)
Binocular camera of RGB and infrared channels, the resolutions are 640x480, 20fps
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
day, evening, night
car, SUV
the video data format is .avi
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%
Commercial License