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21,404 Images - Human Posture Detection Data 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
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.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
21,404 images, one images includes one human body
Population distribution
gender distribution: male, female; age distribution: ranging from young to the elderly, the middle-aged and young people are the majorities; race distribution: Asian
Collecting environment
101 different indoor hone scenes
Data diversity
multiple scenes, multiple time periods, multiple collecting heights, multiple human body occlusions, multiple collecting distances
Device
surveillance camera, the resolution is 1,920*1,080 or 2,560*1,920
Collecting angle
looking down angle
Collecting height
1 meter, 1.5 meters, 2 meters
Collecting time
day, night
Collecting time
the image data format is .jpg, the annotation file format is .json or .xml
Collection content
collecting the human body postures data in different home scenes, the human bodies were lying flat, lying on its side or lying on its stomach
Annotation content
human body rectangular bounding boxes were annotated
Accuracy rate
the 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%