[{"@type":"PropertyValue","name":"Data size","value":"5,521 people, 36 images were annotated for each subject"},{"@type":"PropertyValue","name":"Population distribution","value":"population distribution: Asian; gender distribution: 2,522 males, 2,999 females; age distribution: 930 people under 18 years old, 3,156 people aged from 18 to 45 years old, 808 people aged from 46 to 60 years old, 627 people over 60 years old"},{"@type":"PropertyValue","name":"Collecting environment","value":"indoor scenes, outdoor scenes"},{"@type":"PropertyValue","name":"Data diversity","value":"different age groups, different time periods, different shooting angles, different human body orientations and postures, clothing for different seasons"},{"@type":"PropertyValue","name":"Device","value":"surveillance cameras"},{"@type":"PropertyValue","name":"Collecting angle","value":"looking down angle"},{"@type":"PropertyValue","name":"Collecting time","value":"day, night"},{"@type":"PropertyValue","name":"Data format","value":"the image data format is .jpg, .png, the annotation file format is .json"},{"@type":"PropertyValue","name":"Annotation content","value":"human body rectangular bounding boxes, 15 human body attributes; label the subject's gender, age, race, collecting scenes, clothing categories, camera ID, camera height"},{"@type":"PropertyValue","name":"Accuracy","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 human attributes is over 97%; the accuracy of label annotation is not less than 97%"}]
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