[{"@type":"PropertyValue","name":"Data size","value":"11,130 people, about 10-27 images per person"},{"@type":"PropertyValue","name":"Population distribution","value":"the race distribution is Asian, the gender distribution is male and female, the age distribution is from children to the elderly"},{"@type":"PropertyValue","name":"Collecting environment","value":"including indoor and outdoor scenes (such as supermarket, mall and residential area, etc.)"},{"@type":"PropertyValue","name":"Data diversity","value":"different ages, different time periods, different cameras, different human body orientations and postures, different ages collecting environment"},{"@type":"PropertyValue","name":"Device","value":"surveillance cameras, the image resolution is not less than 1,920*1,080"},{"@type":"PropertyValue","name":"Data format","value":"the image data format is .jpg, the annotation file format is .json"},{"@type":"PropertyValue","name":"Annotation content","value":"human body rectangular bounding boxes, 15 human body attributes"},{"@type":"PropertyValue","name":"Quality Requirements","value":"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%"}]
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