25,080 Images – Alpha Matte Human Body Segmentation Data (Basic Version)

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25,080 Images – Alpha Matte Human Body Segmentation Data (Basic Version)_25,080 Images – Alpha Matte Human Body Segmentation Data (Basic Version)

25,080 Images – Alpha Matte Human Body Segmentation Data (Basic Version)

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25,080 Images – Alpha Matte Human Body Segmentation Data. 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 alpha matte human body segmentation.

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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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25,080 Images – Alpha Matte Human Body Segmentation Data (Basic Version)

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25,080 Images – Alpha Matte Human Body Segmentation Data (Basic Version)