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1,022 People - Re-ID Data in Surveillance Scenes

Re-ID

outdoor scenes

multiple age groups

multiple scenes

different camera heights

different seasonal clothes

different motion postures

1,022 People - Re-ID Collection Data in Surveillance Scenes. The data scenario is outdoor scenes. The data includes males and females, the age distribution is juvenile, youth, middle-aged, the young people are the majorities. The data diversity includes different age groups, multiple scenes, different shooting angles, different human body orientations and postures, clothing for different seasons. For annotation, the rectangular bounding boxes and 15 attributes of human body were annotated. This data can be used for re-id and other tasks.

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

1,022 people, 58 images for each person

Population distribution

gender distribution: 306 males, 716 females; race distribution: Asian; age distribution: 35 children, 69 students, 407 young people, 263 middle-aged people and 248 old people

Collecting environment

outdoor scenes

Data diversity

different age groups, multiple scenes, different shooting angles, different human body orientations and postures, clothing for different seasons

Device

camera, the image resolution is 1,920x1,080

Collecting angle

eye-level angle, looking down angle

Collecting time

day

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, race, camera ID, camera height

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%; annotation accuracy of human attributes is over 97%; the accuracy of label annotation is not less than 97%

Sample

Sample

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