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3,360 Images of 168 People - Passenger Behavior Human Body Detection Data

Passenger behaviors

Normal behavior

Calling behavior

Smoking behavior

Human body detection

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.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Specifications

Data size

168 people, 20 images per person

Population distribution

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

Collecting environment

In-cabin cameras

Data diversity

multiple age periods, multiple time periods, multiple lights, multiple passenger behaviors

Device

wide-angle cameras, the resolution is 1,920*1,080

Shooting position

the center of rear view mirror inside the car

Collecting time

day, evening, night

Collecting light

normal light, front bright light, side light, top light, back light, dim light

Vehicle type

car, SUV, MPV

Data format

the image data format is .jpg, the annotation file format is .json

Annotation content

human body rectangular bounding boxes were annotated

Accuracy rate

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 shall not be lower than 97%

Sample

Sample

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