CCTV Re-ID Data in Europe | 2,769 People | Identity Data

The 2,769 People CCTV Re-Identification Dataset in Europe provides high-quality pedestrian data for computer vision research. The data includes both males and females, with a racial distribution of Caucasian, Black, and Asian, and an age range from children to the elderly. The data diversity includes different age groups, different time periods, different cameras, and different body orientations and poses. Each person is annotated with rectangular bounding boxes and 15 body attributes. This data can be use for person re-identification, pedestrian tracking, surveillance analysis, and multi-camera AI models. Data size 2,769 people, 1-25 cameras for each person Population distribution race distribution: 2,646 Caucasians, 47 Asians, 76 blacks; gender distribution: 1,091 males, 1,678 females; age distribution: mainly young and middle-aged Collecting environment department store Data diversity different age groups, different time periods, different cameras, different human body orientations and postures Device surveillance cameras, the resolution includes 960576 and 1,4401,616 Collecting angle looking down angle Collecting time 10:00-20:00 Data format the image data format is .jpg or png, the annotation file format is .json Annotation content human body rectangular bounding boxes, 15 human body attributes Accuracy rate 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 t