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212 People – 48,000 Images of Multi-person and Multi-view Tracking Data
Different ages
Different cameras
Different human body orientations and postures
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%
Specifications
Sample
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