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Human Face Segmentation Data from 70,846 Images. Pure color backgrounds, interior and exterior scene types are all included in the data. Both males and females are included in the data. Asian, Black, and Caucasian races are represented in the race distribution. The age ranges from young children to elderly people. Simple and complex facial expressions can be found in the data (large-angle tilt of face, closing eye, glower, pucker, opening mouth, etc.). We used pixel-by-pixel segmentation annotations to annotate the human face, the five sense organs, the body, and appendages. The information can be applied to tasks like facial Recon Related Tasks
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Specifications
Data size
70,846 images, there is only one face in an image
Population distribution
race distribution: 32,235 images of Asian, 29,501 images of Caucasian, 9,110 images of black race; gender distribution: 34,044 male images and 36,802 female images; age distribution: baby, teenager, young, midlife and senior
Collection environment
including pure color background, indoor scenes and outdoor scenes
Data format: the image data is in .jpg or .png format, the annotation file is in .json or .psd format; the human face resolution is not lower than 128*128, and pupillary distance is not less than 60 pixels
Annotation content
segmentation annotation of human face, the five sense organs, body and appendages
Accuracy
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 (id) is regarded as the unit, the accuracy rate of segmentation annotation shall be more than 97%
Specifications
Sample
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