CAS-PEAL-R1 人脸数据库

cas-peal人脸库表情子集，如果积分不够，可发送邮件到hudalikm@163.com索取

CAS-PEAL是中科院计算技术研究所在2003年完成的包含1040位志愿者的工99450幅人脸图片的数据库。该数据库涵盖了姿态、表情、装饰、光照、背景、距离和时间等特征的变化。http://www.jdl.ac.cn/peal/download.html 资源为其中的光照子集，2243张灰度图

人脸数据子集，JPG格式，学习人脸识别可用数据集，5合1。

人脸识别数据集 LFW+CAS_PEAL 光照子集

这是cas-peal人脸库年龄子集，如果没有积分，请发送邮件索取。

与论坛上的cas_peal的子集一样，只是将mat转化为了jpg图像，可以直接使用。

The CAS-PEAL face database has been constructed under the sponsors of National Hi-Tech Program and ISVISION by the Face Recognition Group of JDL, ICT, CAS. The goals to create the PEAL face database include: providing the worldwide researchers of FR community a large-scale Chinese face database for training and evaluating their algorithms; facilitating the development of FR by providing large-scale face images with different sources of variations, especially Pose, Expression, Accessories, and Lighting (PEAL); advancing the state-of-the-art face recognition technologies aiming at practical applications especially for the oriental. Currently, the CAS-PEAL face database contains 99,594 images of 1040 individuals (595 males and 445 females) with varying Pose, Expression, Accessory, and Lighting (PEAL). For each subject, 9 cameras spaced equally in a horizontal semicircular shelf are setup to simultaneously capture images across different poses in one shot. Each subject is also asked to look up and down to capture 18 images in another two shots. We also considered 5 kinds of expressions, 6 kinds accessories (3 glasses, and 3 caps), and 15 lighting directions. This face database is now partly made available (a subset named by CAS-PEAL-R1, contain 30,900 images of 1040 subjects) for research purpose only on a case-by-case basis only. JDL is serving as the technical agent for distribution of the database and reserves the copyright of all the images in the database.

已分类的人脸识别库，对深度学习人脸识别有很大帮助，样本数量多，质量好，类别多。我们自己编写的小型算法验证准确率高达90%+，对于入门AI还是很有帮助的。

学习人脸的数据库，因为资源将近4个G，只有将资源存在百度云盘里面------------------------------------------------------