Off-the-shelf Re-ID data is collected from real surveillance scenes. The data diversity includes different age groups, different time periods, different shooting angles, different human body orientations and postures, clothing for different seasons. 1. Specifications Data size : 60,000 ID Population distribution : the race distribution is Asians, Caucasians and black people, the gender distribution is male and female, the age distribution is from children to the elderly Collecting environment : including indoor and outdoor scenes (such as supermarket, mall and residential area, etc.) Data diversity : different ages, different time periods, different cameras, different human body orientations and postures, different ages collecting environment Device : surveillance cameras, the image resolution is not less than 1,920*1,080 Data format : the image data format is .jpg, the annotation file format is .json Annotation content : human body rectangular bounding boxes, 15 human body attributes Quality Requirements : 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% 2. About Nexdata Nexdata owns off-the-shelf 200,000 hours of speech recognition data, 800TB of image/video data, about 2 billion pieces of NLP data. These ready-to-go datasets support instant delivery, quickly improve the accuracy of AI models. For more details, please visit us at https://www.nexdata.ai/?source=Datarade or contact us via info@nexdata.ai.