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4,001 People Single Object Multi-view Tracking Data
Multi-view tracking
Surveillance scenes
Human body
Multiple scenes
4,001 People Single Object Multi-view Tracking Data, the data collection site includes indoor and outdoor scenes (such as supermarket, mall and community, etc.) , where each subject appeared in at least 7 cameras. The data diversity includes different ages, different time periods, different cameras, different human body orientations and postures, different collecting scenes. It can be used for computer vision tasks such as object detection and object tracking in multi-view scenes.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
![Specifications]()
Specifications
Data size
4,001 people, about 385-2,779 images per person
Gender distribution
2,052 males, 1,949 females
Age distribution
from children to the elderly
Collecting environment
including indoor and outdoor scenes (such as supermarket, mall and community, etc.)
Data diversity
different ages, different time periods, different cameras, different human body orientations and postures, different collecting scenes
Device
surveillance cameras, the image resolution is not less 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
Accuracy
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%
![Sample]()
Sample
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