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.
For more details, please refer to the link: https://www.nexdata.ai/datasets/1202?source=Github
11, 027 people, 25,080 images
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
indoor scenes, outdoor scenes
multiple scenes, multiple age groups, multiple human body angles, multiple postures
cellphone, camera
the image data format is .jpg, the mask file format is .png
collecting half body or full body images
segmentation annotation of human body
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%
Commercial License