4,290 Images – Occluded Human Body Dataset for Detection and Segmentation

human body dataset

occluded human body dataset

occlusion dataset

body detection dataset

body segmentation dataset

human occlusion detection dataset

human posture dataset

This dataset contains 4,290 occluded human body images. Each image contains 2-5 occluded human bodies. The age distribution is ranging from children to the elderly, the middle-aged and young people are the majorities. The race distribution is Asian. The data diversity includs multiple scenes, multiple age groups, multiple occluded between human bodies, multiple human body postures. The data can be used for tasks such as human body detection, occlusion recognition, person segmentation, and computer vision research tasks.

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Specifications

Data size

4,290 images, there are 2-5 occluded human bodies for each images

Polution distribution

gender distribution: male, female; age distribution: ranging from children to the elderly, the middle-aged and young people are the majorities; race distribution: Asian, including Vietnamese, Filipinos, Indonesians, Koreans, Mongolians

Collecting environment

indoor scenes, outdoor scenes

Collecting type

be photographed, selfie

Data diversity

including multiple scenes, multiple age groups, multiple occluded between human bodies, multiple human body postures

Device

cellphone

Data format

the image data format is .jpg

Annotation content

different occluded between human bodies data were collected

Accuracy rate

According to the collection content, the collecting accuracy is over 97%

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