3,360 Images of 168 people - passenger behavior human body detection data. The data scenes are the In-cabin camera scenes. The gender distribution is male and female, and the age distribution is mainly young and middle-aged. Data diversity includes multiple age groups, multiple time periods, multiple lights, and multiple passenger behaviors. In terms of content collection, passengers' normal behavior, calling behavior and smoking behavior are collected. In terms of labeling, the human rectangular box is labeled. The data can be used for tasks such as human body detection of passenger behavior. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.
For more details, please refer to the link: https://www.nexdata.ai/datasets/computervision/1531?source=Github
168 people, 20 images per person
gender distribution: 70 males, 98 females; age distribution: ranging from young to the elderly, the middle-aged and young people are the majorities; race distribution: Asian
In-cabin cameras
multiple age periods, multiple time periods, multiple lights, multiple passenger behaviors
wide-angle cameras, the resolution is 1,920*1,080
the center of rear view mirror inside the car
day, evening, night
normal light, front bright light, side light, top light, back light, dim light
car, SUV, MPV
the image data format is .jpg, the annotation file format is .json
human body rectangular bounding boxes were annotated
the rectangular bounding box of human body is qualified when the deviation is not more than 5 pixels, and the qualified rate of the bounding boxes
Commercial License