A collection of commonly used open source data sets for face recognition

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This paper summarizes 10 An open source face recognition data set , With relevant download links , I hope I can bring you some help . 

1. Columbia University public figures facial database

Dataset Links ：http://m6z.cn/5DlIR9

PubFig Dataset It is a large face data set , It is mainly used for face recognition and identification , It covers the Internet 200 One of the 58,797 Zhang image , Unlike most existing facial data sets , These images were taken with the subject completely out of control , So the pose in different images 、 light 、 expression 、 scene 、 The camera 、 There are great differences in imaging conditions and parameters , The dataset is similar to UMass-Amherst Created LFW Data sets .

The data set was developed by Columbia University in 2009 Released in , Related papers are 《Attribute and Simile Classifiers for Face Verification》.

2.CelebA Face data set

Dataset Links ：http://m6z.cn/60EW0n

CelebFaces Attributes Dataset (CelebA) It is a large-scale face attribute data set , Contains more than 20 Ten thousand celebrity images , Every one has 40 Attribute comments . The images in this dataset cover large pose changes and cluttered backgrounds .CelebA Many kinds 、 A large number 、 Comments abound , Include 10,177 Identity ,202,599 Face images , as well as 5 Landmark locations , Every image 40 Binary attribute comments .

The data set can be used as a training and test set for the following computer vision tasks ： Face attribute recognition 、 Face recognition 、 Face detection 、 landmark （ Or part of the face ） Location and face editing and synthesis .

3. US Department of defense face database

Dataset Links ：http://m6z.cn/5So6DB

In order to promote the research and practicability of face recognition algorithm , Department of Defense Counterdrug Technology Transfer Program(CTTP) Launched a human face recognition technology (Face Recognition Technology abbreviation FERET) engineering , It includes a general face database and general test standards . To 1997 year , It already contains 1000 Many people 10000 Multiple photos , Everyone includes different expressions , light , Photos of posture and age .

4.MTFL Face recognition dataset

Dataset Links ：http://m6z.cn/6fHmaT

The dataset contains 12,995 Face images , These images use (1) Five facial signs ,(2) Gender 、 smile 、 The attributes of wearing glasses and head posture are annotated .

5.BioID Face data set

Dataset Links ：http://m6z.cn/5ZUjyC

This dataset contains 1521 The amplitude resolution is 384x286 Pixel gray image . Each image comes from 23 A different tester's frontal angle of the face . For comparison purposes , This data set also contains manually labeled eye position files corresponding to face images . Image with "BioID_xxxx.pgm" Format naming , among xxxx Represents the index of the current image ( from 0 Start ). Allied , Form like "BioID_xxxx.eye" The file contains the location of the eyes in the corresponding image .

6.PersonID Face recognition dataset

Dataset Links ：http://m6z.cn/5So6vR

The face photos selected in this dataset are from two well-known TV dramas ,《 Vampire Hunter Buffy 》 and 《 The big bang theory 》.

7.CMU PIE Face database

Dataset Links ：http://m6z.cn/5vPwfO

CMU PIE The face database is built on 2000 year 11 month , It includes information from 68 Individual 40000 A picture , It includes everyone's 13 Kind of posture conditions ,43 Light conditions and 4 A picture with an expression , The existing literature on multi pose face recognition is basically in CMU PIE Tested on the face database .

8.Youtube Video face dataset

Dataset Links ：http://m6z.cn/6u3P2V

The dataset contains 1,595 A different person 3,425 A video . All the videos are from YouTube Download the . Each topic has an average of 2.15 Videos available . The minimum clip duration is 48 frame , The longest clip is 6070 frame , The average length of video clips is 181.3 frame . Under this data set , The algorithm needs to determine whether the same person is in the two videos . There are a lot of ways that work on photos , Not necessarily effective on video / Efficient .

9.CASIA Face image dataset

Dataset Links ：http://m6z.cn/5vPwio

CASIA Face image database version 5.0（ or CASIA-FaceV5） contain 500 Object's 2,500 A color face image .CASIA-FaceV5 The facial image is using Logitech USB Captured by the camera in a session .CASIA-FaceV5 Our volunteers include graduate students 、 Worker 、 Waiter, etc . All face images are 16 Bit color BMP file , The image resolution is 640*480. Typical intra class variations include lighting 、 posture 、 expression 、 glasses 、 Imaging distance, etc .

10.Caltech Face database

Dataset Links ：http://m6z.cn/5So6VP

The dataset contains images of people collected from the Internet by entering common names in Google Image Search . Every positive eye 、 The coordinates of the center of the nose and mouth are provided in the ground live file . This information can be used to align and crop faces or as a basic fact of face detection algorithms . The dataset has 10,524 Faces with different resolutions and settings , for example Portrait image 、 The crowd, etc . Side or very low resolution faces are not marked .

This article is only for academic sharing , If there is any infringement , Please contact to delete .

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