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10,034 People - Re-ID Data in Surveillance Scenes. The data includes supermarket (inside supermarket and at the gate of the supermarket) scenes. The data includes males and females and the age distribution is from children to the elderly. In this dataset, the rectangular bounding boxes and 15 attributes of human body were annotated.The data can be used for re-id and other tasks.
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Specifications
Data size
10,034 people
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
supermarket (inside supermarket and at the gate of the supermarket)
Data diversity
different ages, different time periods, different cameras, different human body orientations and different postures
Device
surveillance cameras, the image resolution is 1,920*1,080
Collecting time
8:00-22:00
Image parameters
the video data is in .mp4 format, the image data is in .jpg format, the annotation file is in .json format
Annotation content
human body rectangular bounding boxes, 15 human body attributes
Accuracy
a rectangular bounding box of human body is qualified when the deviation is not more than 3 pixels, and the qualified rate of the bounding boxes shall not be lower than 97%; annotation accuracy of attributes is over 97%
Specifications
Sample
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