2,769 People – CCTV Re-ID Data in Europe. The data includes males and females, the race distribution is Caucasian, black, Asian, and the age distribution is from children to the elderly. The data diversity includes different age groups, different time periods, different cameras, different human body orientations and postures. For annotation, the rectangular bounding boxes and 15 attributes of human body were annotated. This data can be used for re-id and other tasks. For more details, please refer to the link: https://www.nexdata.ai/datasets/computervision/1322?source=Github
2,769 people, 1-25 cameras for each person
race distribution: 2,646 Caucasians, 47 Asians, 76 blacks; gender distribution: 1,091 males, 1,678 females; age distribution: mainly young and middle-aged
department store
different age groups, different time periods, different cameras, different human body orientations and postures
surveillance cameras, the resolution includes 960576 and 1,4401,616
looking down angle
10:00-20:00
the image data format is .jpg or png, the annotation file format is .json
human body rectangular bounding boxes, 15 human body attributes
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%
Commercial License