Data for: Face analysis through semantic face segmentation

The FASSEG repository is composed by three datasets containing face images useful for training and testing automatic methods for the task of face segmentation. Two datasets, namely frontal01 and frontal02, are specifically built for performing frontal face segmentation. Frontal01 contains 70 original RGB images and the corresponding roughly labelled ground-truth masks. Frontal02 contains the same image data, with high-precision labelled ground-truth masks. The third dataset, namely Multipose01, contains more than 200 faces in multiple poses and the corresponding ground-truth masks. For all face images, ground-truth mask data are labelled on six classes (mouth, nose, eyes, hair, skin, and background). All images of each dataset come organized in two subfolders - train and test – for enabling comparisons between different segmentation methods on the same datasets.FASSEG 存储库包含三个数据集，其内的人脸图像可用于训练与测试面向人脸分割任务的自动化算法。其中frontal01与frontal02这两个数据集，专为正脸分割任务打造。Frontal01 包含70幅原始RGB图像，以及与之对应的粗略标注真实掩码（ground-truth masks）。Frontal02 采用与前者完全相同的图像数据，但附带高精度标注的真实掩码。第三个数据集Multipose01 则包含超过200张多姿态人脸图像，以及对应的真实掩码。所有人脸图像的真实掩码均分为六个类别：嘴部、鼻部、眼部、毛发、皮肤与背景。每个数据集的所有图像均按照train与test两个子文件夹进行组织，以便在同一数据集上对不同分割算法开展性能对比。