212 People – 48,000 Images of Multi-person and Multi-view Tracking Data

multiple object tracking

surveillance scene

human body detection

security data

smart security data

212 People – 48,000 Images of Multi-person and Multi-view Tracking Data. The data includes males and females, and the age distribution is from children to the elderly. The data diversity includes different age groups, different shooting angles, different human body orientations and postures. For annotation, we adpoted rectangular bounding boxes annotations on human body. This dataset can be used for multiple object tracking and other tasks.

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Specifications

Data size

212 people, there are 11 cameras, 48,000 images

Population distribution

the race distribution is Asian, the gender distribution is male and female, the age distribution is from children to the elderly

Collecting environment

indoor scenes

Data diversity

different ages, different cameras, different human body orientations and postures

Device

surveillance cameras, the image resolution is 1,920*1,080

Data format

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

Annotation content

human body rectangular bounding boxes

Accuracy

A 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 95%; Annotation accuracy of ID is over 95%

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