FACES is a set of images of naturalistic faces of 171 young (n = 58), middle-aged (n = 56), and older (n = 57) women and men displaying each of six facial expressions: neutrality, sadness, disgust, fear, anger, and happiness. The FACES database was developed between 2005 and 2007 by Natalie C. Ebner, Michaela Riediger, and Ulman Lindenberger at the Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.（数据库太大，分开上传）

FACES is a set of images of naturalistic faces of 171 young (n = 58), middle-aged (n = 56), and older (n = 57) women and men displaying each of six facial expressions: neutrality, sadness, disgust, fear, anger, and happiness. The FACES database was developed between 2005 and 2007 by Natalie C. Ebner, Michaela Riediger, and Ulman Lindenberger at the Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.（数据库太大，分开上传）

FACES is a set of images of naturalistic faces of 171 young (n = 58), middle-aged (n = 56), and older (n = 57) women and men displaying each of six facial expressions: neutrality, sadness, disgust, fear, anger, and happiness. The FACES database was developed between 2005 and 2007 by Natalie C. Ebner, Michaela Riediger, and Ulman Lindenberger at the Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.（数据库太大，分开上传）

Dynamic FACES is an extension of the original FACES database . It is a database of morphed videos (n = 1,026) of young, middle-aged, and older adults displaying six naturalistic emotional facial expressions including neutrality, sadness, disgust, fear, anger, and happiness. Static images used for morphing came from the original FACES database. Videos were created by transitioning from a static neutral image to a target emotion. Videos are available in 384 x 480 pixels as .mp4 files or in origina

FACES is a set of images of naturalistic faces of 171 young (n = 58), middle-aged (n = 56), and older (n = 57) women and men displaying each of six facial expressions: neutrality, sadness, disgust, fear, anger, and happiness. The FACES database was developed between 2005 and 2007 by Natalie C. Ebner, Michaela Riediger, and Ulman Lindenberger at the Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.（数据库太大，分开上传）

FACES is a set of images of naturalistic faces of 171 young (n = 58), middle-aged (n = 56), and older (n = 57) women and men displaying each of six facial expressions: neutrality, sadness, disgust, fear, anger, and happiness. The FACES database was developed between 2005 and 2007 by Natalie C. Ebner, Michaela Riediger, and Ulman Lindenberger at the Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.（数据库太大，分开上传）

anime-faces-data卡通头像数据集

PrimeFaces This is a test project for learning PrimeFaces. 建造 mvn clean install 部署 mvn jetty:run This will deploy the project on local host using port 9090 使用权 open following link in browser http://localhost:9090/primefaces/ 文档 1. Deploy documentation site mvn site:run 2. Access documentation site http://localhost:8080/

Caltech 10k Web Faces Dataset 是由 Google 搜索所得图片组成的数据集，每张图中正面的眼睛、鼻子和嘴巴的中心坐标均在相关文件中提供，相关信息可被用于对齐和裁剪人脸、面部识别 算法 的基准，该数据集拥有不同分辨率的图片共计 10,524 张，并被用于不同的领域。 该数据集由加州理工学院于 2005 年发布，相关论文有《Pruning Training Sets for Learning of Object Categories》。

ORL Dataset 是剑桥大学 AT&T 实验室制作的人脸数据集，其包含从 1992 年 4 月到 1994 年 4 月期间实验室成员的人脸图像。 该数据集的图像分为 40 个不同主题，其中每个主题包含 10 幅图像。