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10,114 People – Multi-View Tracking Dataset in Surveillance Scenes
human tracking dataset
surveillance tracking dataset
person tracking dataset
multi-view human re-id dataset，human body attributes tracking data
indoor outdoor surveillance tracking
multi-angle person tracking data
pedestrian tracking dataset
Large-scale multi-view tracking dataset of 10,114 people captured in indoor and outdoor surveillance scenes. Includes diverse ages and genders.Each subject is annotated with human body bounding boxes, human body+riding object bounding boxes, and 21 human body attributes. This data can be used for human multi-view tracking, person re-identification (Re-ID), pedestrian analysis, and AI/computer vision model training.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
10,114 people
Population distribution
gender distribution: 4,198 males, 5,916 females; age distribution: children(838 people), students(1,197 people), the youth(5,336 people), middle age (2,363 people), the old (378 people), unsure(2 people)
Collection environment
surveillance scenes, including indoor scenes and outdoor scenes
Collection diversity
different light conditions, different scenes, different routes
Collection device
surveillance camera; photographic angles: looking down angle
Collection time
day, sunset
Image parameters
resolution:1,920x1,080, format: .jpg
Annotation
rectangular bounding boxes of human body; rectangular bounding boxes of human body + riding object; 21 human body attributes
Accuracy
annotation accuracy of rectangular bounding boxes is over 95%; annotation accuracy of human body attributes is over 95%
Specifications
Sample
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