70,846 Images – Human Face Segmentation Data

Face segmentation

five sense organs segmentation

appendages segmentation

face recognition

complicated expressions

pure color background

indoor scenes

outdoor scenes

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 diversity

multiple scenes, multiple ages, multiple races, complicated expressions (closing eye, glower, pucker, opening mouth, etc.), and multiple appendages

Image Parameter

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%

Recommended Dataset

21,299 Images of Human Body and Face Segmentation Data

21,299 Images of Human Body and Face Segmentation Data. The data includes indoor scenes and outdoor scenes. The data covers female people and male people. The race distribution includes Asian, black race and Caucasian. The age distribution ranges from teenager to the elderly, the middle-aged and young people are the majorities. The dataset diversity includes multiple scenes, ages, races, postures, and appendages. In terms of annotation, we adpoted pixel-wise segmentation annotations on human face, the five sense organs, body and appendages. The data can be used for tasks such as human body segmentation.

Face segmentation five sense organs segmentation appendages segmentation face recognition complicated expressions pure color background indoor scenes outdoor scenes