208,914 Bounding Boxes – Person Attributes Recognition Dataset in Surveillance

person attributes dataset

pedestrian attributes dataset

human body attributes dataset

pedestrian detection dataset

bounding box dataset

surveillance person dataset

human attribute recognition dataset

This dataset contains 208,914 bounding boxes of people captured in indoor (shopping mall) and outdoor (street, the gate of shopping mall and square) surveillance scenes. The data includes males and females and the age distribution is from children to the elderly. In this dataset, the rectangular bounding boxes and 19 attributes of human body were annotated. The data can be used for pedestrian attributes recognition, person re-identification, surveillance analytics.

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Specifications

Data size

206,290 human body bounding boxes, 2,624 appendage bounding boxes

Environment

indoor (shopping mall) and outdoor (street, the gate of shopping mall and square) scenes

Population

the race distribution is yellow race, the gender distribution is male and female, the age distribution is from children to the elderly

Diversity

multiple age groups, multiple scenes, different poses

Device

surveillance camera, the resolution is 1,920*1,080

Photographic angles

looking down angle

Format

.jpg, .json

Annotation

the rectangular bounding boxes of human bodies, and 19 human body attributes

Accuracy

annotation accuracy of bounding boxes is over 95%; annotation accuracy of attributes is over 95%

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