10,000 People - Re-ID Data in Surveillance Scenes. The data includes indoor scenes and outdoor scenes. The data includes males and females, and the age distribution is from children to the elderly. The data diversity includes different age groups, different time periods, different shooting angles, different human body orientations and postures, clothing for different seasons. For annotation, the rectangular bounding boxes and 15 attributes of human body were annotated. The data can be used for re-id and other tasks.
For more details, please refer to the link:https://www.nexdata.ai/datasets/computervision/1129?source=Github
10,000 people
Asian, the gender distribution is male and female, the age distribution is from children to the elderly
indoor scenes, outdoor scenes
different age groups, different time periods, different shooting angles, different human body orientations and postures, clothing for different seasons
surveillance cameras
looking down angle
day, night
the image data format is .jpg, the annotation file format is .json
human body rectangular bounding boxes, 15 human body attributes; label the subject's gender, age, race, collecting scenes, clothing categories, camera ID, camera height
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