5,521 People - Re-ID Data in Surveillance Scenes

Surveillance scenes

Re-ID

different age groups

different time periods

different shooting angles

different human body orientations and postures

clothing for different seasons

human body rectangular bounding boxes

attributes annotation

5,521 People - Re-ID Data in Surveillance Scenes. The data includes indoor scenes and outdoor scenes. The data includes males and females, and the age distribution is from children to the elderly. The data diversity includes different age groups, different time periods, 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. The 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

Data size

5,521 people, 36 images were annotated for each subject

Population distribution

population distribution: Asian; gender distribution: 2,522 males, 2,999 females; age distribution: 930 people under 18 years old, 3,156 people aged from 18 to 45 years old, 808 people aged from 46 to 60 years old, 627 people over 60 years old

Collecting environment

indoor scenes, outdoor scenes

Data diversity

different age groups, different time periods, different shooting angles, different human body orientations and postures, clothing for different seasons

Device

surveillance cameras

Collecting angle

looking down angle

Collecting time

day, night

Data format

the image data format is .jpg, .png, the annotation file format is .json

Annotation content

human body rectangular bounding boxes, 15 human body attributes; label the subject's gender, age, race, collecting scenes, clothing categories, 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%

Recommended Dataset

5,808 People - Human Pose Recognition Data

5,808 People - Human Pose Recognition Data. This dataset includes indoor and outdoor scenes.This dataset covers males and females. Age distribution ranges from teenager to the elderly, the middle-aged and young people are the majorities. The data diversity includes different shooting heights, different ages, different light conditions, different collecting environment, clothes in different seasons, multiple human poses. For each subject, the labels of gender, race, age, collecting environment and clothes were annotated. The data can be used for human pose recognition and other tasks.

Different shooting heights different ages different light conditions different collecting environment clothes in different seasons multiple human poses

10,034 People - Re-ID Data in Surveillance Scenes

10,034 People - Re-ID Data in Surveillance Scenes. The data includes supermarket (inside supermarket and at the gate of the supermarket) 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 15 attributes of human body were annotated.The data can be used for re-id and other tasks.

Surveillance scenes Re-ID multiple time periods multiple ages human body rectangular bounding boxes attributes annotation

208,914 Bounding Boxes – Human Body Attributes Data in Surveillance Scenes

208,914 Bounding Boxes – Human Body Attributes Data in Surveillance Scenes. The data includes indoor (shopping mall) and outdoor (street, the gate of shopping mall and square) 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 person attributes recognition.

indoor and outdoor scenes human body bounding boxes appendage bounding boxes surveillance camera multiple age groups human body attributes

21,404 Images - Human Posture Detection Data in Home Scenes

21,404 images - human posture detection data in home scenes. The data scenes are 101 different indoor hone scenes. The gender distribution includes male and female, the age distribution is ranging from young to the elderly, the middle-aged and young people are the majorities. The data diversity includes multiple scenes, multiple time periods, multiple collecting heights, multiple human body occlusions, multiple collecting distances. For collection content, the human body postures data in different home scenes were collected, the human bodies were lying flat, lying on its side or lying on its stomach. For annotation, human body rectangular bounding boxes were annotated. The data can be used for tasks such as human body detection in home scenes.

Home scene human posture detection multiple scenes multiple time periods multiple collecting heights multiple human body occlusions multiple collecting distances human body rectangular bounding boxes

40 People – Safety Dressing Collection Data

40 People – Safety Dressing Collection Data. Each subject collects 24 videos, each video lasts about 30 seconds. The gender distribution includes male and female, the age distribution is young and middle-aged. Collecting scenes include 2 indoor scenes and 2 outdoor scenes. The collecting angles are looking down angle, looking up angle. The data diversity includes multiple scenes, multiple actions, multiple angles, multiple safety dressing equipment. The data can be used for tasks such as detection and recognition of safety dressing for power personnel.

Safety dressing indoor scene outdoor scenes multiple scenes multiple actions multiple angles multiple safety dressing equipment detection and recognition of safety dressing for power personnel

2,769 People - CCTV Re-ID Data in Europe

2,769 People – CCTV Re-ID Data in Europe. The data includes males and females, the race distribution is Caucasian, black, Asian, and the age distribution is from children to the elderly. The data diversity includes different age groups, different time periods, different cameras, different human body orientations and postures. 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.

European CCTV Re-ID different age groups different time periods different cameras different human body orientations and postures the human body rectangular bounding boxes the rectangular bounding boxes

65 People –15,204 Videos of Sports and Fitness Video Data

65 People –15,204 Videos of Sports and Fitness Video Data. The data collection scene is indoor scenes. The race distribution is Asian, black and Caucasian; the age distribution is young and middle-aged people. The collection device is IR and RGB cameras. The dataset diversity includes different races, different age groups, different shooting angles, different collection distances, different human body orientations, different costumes and various fitness actions. The data can be used for tasks such as human behavior recognition and human segmentation in fitness scenes.

Sports and fitness IR and RGB cameras human behavior recognition human segmentation fitness scenes.

11,130 People - Re-ID Data in Real Surveillance Scenes

11,130 People - Re-ID Data in Real Surveillance Scenes. The data includes indoor scenes and outdoor scenes. The data includes males and females, and the age distribution is from children to the elderly. The data diversity includes different age groups, different time periods, 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.

different ages different time periods different cameras different human body orientations and postures different ages collecting environment