Human Body Segmentation Dataset – 25,080 Images with Alpha Matte Annotations (Basic Version)

human body segmentation dataset

alpha matte human dataset

human matting dataset

alpha matte segmentation dataset

This dataset contains 25,080 images for human body segmentation. The data includes indoor scenes and outdoor scenes. The dataset diversity includes multiple scenes, multiple age groups, multiple human body angles, multiple postures. In terms of annotation, alpha matte segmentation annotation was adopted for the human body. The data can be used for tasks such as human matting, background removal, person segmentation, virtual try-on, and pose estimation.

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Specifications

Data size

11, 027 people, 25,080 images

Population distribution

race distribution: 10,634 Asians, 393 Caucasians; gender distribution: 3,927 males, 7,100 females; age distribution: including children, juvenile, youth, middle age, old age

Collecting environment

indoor scenes, outdoor scenes

Data diversity

multiple scenes, multiple age groups, multiple human body angles, multiple postures

Device

cellphone, camera

Data format

the image data format is .jpg, the mask file format is .png

Collection content

collecting half body or full body images

Annotation content

segmentation annotation of human body

Accuracy

the accuracy of label annotation is not less than 97%; the mask edge location errors in x and y directions are less than 3 pixels, which is considered as a qualified annotation; the annotation part (human body) is regarded as the unit, the accuracy shall be more than 97%

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