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165 People - CCTV Re-ID Data in Outdoor Night Scenes
Re-id
CCTV
Outdoor Night Scenes
165 People - CCTV Re-ID Data in Outdoor Night Scenes. The data scenario is an outdoor night monitoring scenario. The data covers both males and females, with an age distribution from children to middle age, and is based on young people. The data modes include RGB and IR. In terms of annotation, annotate human body rectangular boxes and 15 types of human body attribute information. The data can be used for tasks such as Re ID.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
165 people, 32 images were annotated for each subject
Population distribution
149 brown people, 15 Asians, 1 Caucasian people
Gender distribution
87 males, 78 females
Age distribution
18 people under 18 years old, 135 people aged from 18 to 45 years old, 7 people aged from 46 to 50 years old
Collecting environment
outdoor scenes
Data diversity
different age groups, different time periods, different shooting angles, different human body orientations and postures, different modal cameras
Device
binocular surveillance cameras (IR+RGB)
Collecting angle
looking down angle
Collecting time
night
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; Label the subject’s gender, age, race, nationality, camera ID, camera height, camera modal
Acccuracy rate
a rectangular bounding box of human body is qualified when the deviation is not more than 5 pixels, and the qualified rate of the bounding boxes shall not be lower than 95% ; Annotation accuracy of human attributes is over 95%; The accuracy of label annotation is not less than 95%
Specifications
Sample
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