Datasets for face recognition
Name
Date
Description
License
Subjects
Quantity
Data
Target
Reference
Download
Yale Face Database
1997
Faces of 15 individuals
No license specified
15
165
images
face recognition
The Extended Yale Face Database B
2001
The extended Yale Face Database B contains 16128 images of 28 human subjects under 9 poses and 64 illumination conditions.
No license specified
28
16128
images
face recognition
The Olivetti faces dataset
1994
Faces of 40 individuals
No license specified
40
400
images
face recognition
The Sheffield (previously UMIST) Face Database
1998
Face Database consists of 564 images of 20 individuals (mixed race/gender/appearance)
No license specified
20
564
images
face recognition
CMU Multi-PIEe
2009
The CMU Multi-PIE face database contains more than 750,000 images of 337 people recorded in up to four sessions over the span of five months. Subjects were imaged under 15 view points and 19 illumination conditions.
No license specified
337
750000
images
face recognition
MUCT
2010
The MUCT database consists of 3755 faces with 76 manual landmarks. The database was created to provide more diversity of lighting, age, and ethnicity.
No license specified
276
3755
images
face recognition
Labeled Faces in the Wild Home
2018
The data set contains more than 13,000 images of faces collected from the web. Each face has been labeled with the name of the person pictured. 1680 of the people pictured have two or more distinct photos in the data set.
No license specified
1680
13000
images
face recognition
FERET
1996
The Facial Recognition Technology (FERET) database is a dataset used for facial recognition system evaluation as part of the Face Recognition Technology (FERET) program.
No license specified
1199
14126
images
face recognition
SCface
2009
SCface is a database of static images of human faces. Images were taken in uncontrolled indoor environment using five video surveillance cameras of various qualities.
No license specified
130
4160
images
face recognition
Cohn-Kanade AU-Coded Expression Database
2004
The Cohn-Kanade AU-Coded Facial Expression Database is for research in automatic facial image analysis and synthesis and for perceptual studies. Cohn-Kanade is available in two versions and a third is in preparation.
No license specified
100
images
face recognition
BU-3DFE
2006
3D facial models have been extensively used for 3D face recognition and 3D face animation, the usefulness of such data for 3D facial expression recognition is unknown. To foster the research in this field, we created a 3D facial expression database (called BU-3DFE database), which includes 100 subjects with 2500 facial expression models.
No license specified
100
2500
images
face recognition
DISFA
2006
The Denver Intensity of Spontaneous Facial Action Database is a non-posed facial expression database for those who are interested in developing computer algorithms for automatic action unit detection and their intensities described by FACS.
No license specified
27
images
face recognition
MIT-CBCL
2005
The MIT-CBCL face recognition database contains face images of 10 subjects. The test set consists of 200 images per subject. We varied the illumination, pose (up to about 30 degrees of rotation in depth) and the background.
MIT
10
3240
images
face recognition
YouTube Faces Database
2011
A database of face videos designed for studying the problem of unconstrained face recognition in videos.
No license specified
1595
3425
videos
face recognition
VADANA
2012
Vims Appearance Dataset for facial ANAlysis.
No license specified
images
face recognition
Oulu Physics-Based Face Database
1999
The database collected at the Machine Vision and Media Processing Unit, University of Oulu which contains color images of faces under different illuminants and camera calibration conditions as well as skin spectral reflectance measurements of each person. In addition, the camera channel response and the spectral power distribution of illuminants used are provided, thus the term physics-based. The database may be of general interest to face recognition researchers and of specific interest to color researchers.
No license specified
125
2000
images
face recognition
The University of Milano Bicocca 3D face database
2011
The University of Milano Bicocca 3D face database is a collection of multimodal (3D + 2D colour images) facial acquisitions. The database is avaiable to universities and research centers interested in face detection, face recognition, face synthesis.
No license specified
143
1473
images
face recognition
Texas 3DFRD
2010
The Texas 3D Face Recognition database (Texas 3DFRD) of 1149 2D and 3D facial images is now available to qualified researchers at no cost.
No license specified
105
1149
images
face recognition
Social Perception Lab Database Sets, Department of Psychology, Princeton University
2013
The first fourteen databases (“Maximally Distinct Faces” and “Maximally Distinct Faces (Fine Grained Steps)”) consist of 25 maximally distinct identities manipulated on different traits (attractiveness, competence, dominance, extroversion, likeability, threat, and trustworthiness) for both shape and reflectance.
No license specified
25
images
face recognition
SiblingsDB
2013
The SiblingsDB contains different datasets depicting images of individuals realted by sibling relationships. Actually, the images are organized in two different DBs. The images have been organized into three Individual Datasets (IDS), namely HQf, HQfp and HQfps. HQf: frontal expressionless images of 184 subjects (92 sibling pairs); HQfp: 158 individuals, each represented by one frontal and one profile expressionless images (79 sibling pairs); HQfps: 112 individuals, each represented by a set of four images per individual. Two expressionless frontal and profile, and two smiling frontal and profile images (56 sibling pairs).
No license specified
184
images
face recognition
RaFD
2010
The Radboud Faces Database (RaFD) is a set of pictures of 67 models (including Caucasian males and females, Caucasian children, both boys and girls, and Moroccan Dutch males) displaying 8 emotional expressions. The RaFD in an initiative of the Behavioural Science Institute of the Radboud University Nijmegen.
No license specified
67
images
face recognition
PUT
2008
The database contains almost 10000 images of 100 people acquired in partially controlled conditions and stored in 2048× 1536 pixels images. The base is publicly available for research purposes and can be used as a training and testing material in developing various algorithms related to the face detection, recognition and analysis.
No license specified
100
10000
images
face recognition
PubFig
2009
The PubFig database is a large, real-world face dataset consisting of 58797 images of 200 people collected from the internet. Unlike most other existing face datasets, these images are taken in completely uncontrolled situations with non-cooperative subjects. Thus, there is large variation in pose, lighting, expression, scene, camera, imaging conditions and parameters.
No license specified
200
58797
images
face recognition
PICS
2016
Psychological Image Collection at Stirling(PICS). This is a collection of images useful for conducting experiments in psychology, primarily faces.
No license specified
99
images
face recognition
PhotoFace
2012
Use high-speed photometric stereo to rapidly capture facial geometry.
Capture a new 3D face database for testing within the project and for the benefit of the worldwide face recognition research community. Apply novel and existing state-of-the-art face recognition algorithms to the dataset.
Capture skin reflectance data in order to generate synthetic poses of any face captured by the device.
No license specified
453
3187
images
face recognition
The OUI-Adience Face Image Project
2014
In order to facilitate the study of age and gender recognition, we provide a data set and benchmark of face photos. The data included in this collection is intended to be as true as possible to the challenges of real-world imaging conditions. In particular, it attempts to capture all the variations in appearance, noise, pose, lighting and more, that can be expected of images taken without careful preparation or posing.
limited, non-exclusive, royalty-free, non-sublicenseable, non-transferable
2284
26580
images
face recognition
NIST Mugshot Identification Database
2017
NIST Special Database 18 is being distributed for use in development and testing of automated mugshot identification systems. The database consists of three CD-ROMs, containing a total of 3248 images of variable size using lossless compression.
No license specified
1573
3248
images
face recognition
USTC-NVIE
2010
The Key Laboratory of Computing and Communication Software of Anhui Province(CCSL) has constructed the USTC-NVIE (Natural Visible and Infrared facial Expression) database under the sponsor of the 863 project.
No license specified
100
images
face recognition
MORPH Database (Craniofacial Longitudinal Morphological Face Database)
2006
The MORPH Longitudinal Database is the largest longitudinal facial recognition database in the world, and was recently doubled in size! The longitudinal aspect of the database indicates that there are numerous images of a given subject, over time. The database is licensed for commercial and developmental uses. The MORPH Longitudinal Database contains 400,000+ images of nearly 70,000 subjects. The images are 8-bit color, and sizes may vary. The MORPH Longitudinal datasets have descriptive statistics associated with the variables included therein. The datasets contain metadata for age, gender, race, height, weight, and eye coordinates.
No license specified
70000
400000
images
face recognition
MOBIO
2010
The MOBIO database consists of bi-modal (audio and video) data taken from 152 people. The database has a female-male ratio or nearly 1:2 (100 males and 52 females) and was collected from August 2008 until July 2010 in six different sites from five different countries. This led to a diverse bi-modal database with both native and non-native English speakers.
No license specified
152
images
face recognition
Makeup Datasets
2010
Makeup Datasets is a series of datasets of female face images assembled for studying the impact of makeup on face recognition.
No license specified
430
1800
images
face recognition
Meissner Caucasian and African American set
2008
We have developed several sets of stimuli for use in our studies on cross-racial face recognition and identification. The sets are available by email request to Dr. Meissner for those seeking to conduct research on face identification. Our stimuli currently include African American and Caucasian male faces in two poses (smiling w/ casual clothing and non-smiling with burgundy sweatshirt).
No license specified
images
face recognition
McGillFaces Database
2014
This database contains 18000 video frames of 640x480 resolution from 60 video sequences, each of which recorded from a different subject (31 female and 29 male). Each video was collected in a different environment ( indoor or outdoor) resulting arbitrary illumination conditions and background clutter. Furthermore, the subjects were completely free in their movements, leading to arbitrary face scales, arbitrary facial expressions, head pose (in yaw, pitch and roll), motion blur, and local or global occlusions.
No license specified
60
18000
videos
face recognition
3DMAD
2013
The 3D Mask Attack Database (3DMAD) is a biometric (face) spoofing database. It currently contains 76500 frames of 17 persons, recorded using Kinect for both real-access and spoofing attacks. Each frame consists of: a depth image (640x480 pixels – 1x11 bits); the corresponding RGB image (640x480 pixels – 3x8 bits); manually annotated eye positions (with respect to the RGB image).
No license specified
17
76500
images
face recognition
3D_RMA
2006
The use of the "3D_RMA" database recorded at the SIC is restricted to research purposes. This database was created with a 3D acquisition system based on structured light.
No license specified
120
images
face recognition
10k US Adult Faces Database
2013
This database contains 10,168 natural face photographs and several measures for 2,222 of the faces, including memorability scores, computer vision and psychology attributes, and landmark point annotations. The face photographs are JPEGs with 72 pixels/in resolution and 256-pixel height. The attribute data are stored in either MATLAB or Excel files. Landmark annotations are stored in TXT files.
No license specified
2222
10168
images
face recognition
AR Face Database
1998
This face database was created by Aleix Martinez and Robert Benavente in the Computer Vision Center (CVC) at the U.A.B. It contains over 4,000 color images corresponding to 126 people's faces (70 men and 56 women). Images feature frontal view faces with different facial expressions, illumination conditions, and occlusions (sun glasses and scarf). The pictures were taken at the CVC under strictly controlled conditions. No restrictions on wear (clothes, glasses, etc.), make-up, hair style, etc. were imposed to participants. Each person participated in two sessions, separated by two weeks (14 days) time. The same pictures were taken in both sessions.
No license specified
126
4000
images
face recognition
BFM
2009
3D Morphable Models are a well established technique in computer graphics and vision. They are generative shape models, and as such applicable in image analysis and synthesis tasks. 3D Morphable Models, and specifically 3D Morphable Face Models are the core of the research in the Computer Vision Group at the University of Basel.
No license specified
200
3D face scans
face recognition
BioID Face DB - HumanScan AG
2001
The BioID Face Database dataset consists of 1521 gray level images with a resolution of 384x286 pixel. Each one shows the frontal view of a face of one out of 23 different test persons. For comparison purposes, the set also contains manually set eye positions.
No license specified
23
1521
images
face recognition
Binghamton University Facial Expression Databases
2008
Traditionally, human facial expressions have been studied using either 2D static images or 2D video sequences. The 2D-based analysis is difficult to handle large pose variations and subtle facial behavior. This exploratory research targets the facial expression analysis and recognition in a 3D space. The analysis of 3D facial expressions will facilitate the examination of the fine structural changes inherent in the spontaneous expressions. The project aims to achieve a high rate of accuracy in identifying a wide range of facial expressions, with the ultimate goal of increasing the general understanding of facial behavior and 3D structure of facial expressions on a detailed level.
No license specified
100
60000
3D scan
face recognition
Bosphorus Database
2008
The Bosphorus Database is intended for research on 3D and 2D human face processing tasks including expression recognition, facial action unit detection, facial action unit intensity estimation, face recognition under adverse conditions, deformable face modeling, and 3D face reconstruction. There are 105 subjects and 4666 faces in the database.
No license specified
105
4666
images
face recognition
Caltech Faces
1999
Frontal face dataset. Collected by Markus Weber at California Institute of Technology. 450 face images. 896 x 592 pixels. Jpeg format. 27 or so unique people under with different
lighting/expressions/backgrounds. ImageData.mat is a Matlab file containing the variable SubDir_Data which is an 8 x 450 matrix.
No license specified
27
450
images
face recognition
CAS-PEAL
2004
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).
No license specified
1040
99594
images
face recognition
ChokePoint
2011
The dataset consists of 25 subjects (19 male and 6 female) in portal 1 and 29 subjects (23 male and 6 female) in portal 2. The recording of portal 1 and portal 2 are one month apart. The dataset has frame rate of 30 fps and the image resolution is 800X600 pixels. In total, the dataset consists of 48 video sequences and 64,204 face images. In all sequences, only one subject is presented in the image at a time. The first 100 frames of each sequence are for background modelling where no foreground objects were presented.
29
64204
images
face recognition
color FERET
1998
The DOD Counterdrug Technology Program sponsored the Facial Recognition Technology (FERET) program and development of the FERET database. The database is approximately 8.5 gigabytes.
No license specified
images
face recognition
CVRL Biometrics Face Recognition Grand Challenge
2005
The FRGC data distribution consists of three parts. The first is the FRGC data set. The second part is the FRGC BEE. The BEE distribution includes all the data sets for performing and scoring the six experiments. The third part is a set of baseline algorithms for experiments 1 through 4. With all three components, it is possible to run experiments 1 through 4, from processing the raw images to producing Receiver Operating Characteristics (ROCs).
No license specified
50000
3D images
face recognition
CVRL ND-2006
2006
The ND-2006 data set contains a total of 13,450 images containing 6 different types of expressions (Neutral, Happiness, Sadness, Surprise, Disgust and Other). A total of 888 distinct persons, with as many as 63 images per subject are available in this data set.
No license specified
888
13450
3D images
face recognition
CVRL ND-Iris-0405
2005
The data set contains 64,980 iris images obtained from 356 subjects (712 unique irises) between January 2004 and May 2005.
No license specified
356
64980
images
face recognition
CVRL The Point and Shoot Face and Person Recognition Challenge (PaSC)
2013
The challenge includes 9,376 still images and 2,802 videos of 293 people. The images are balanced with respect to distance to the camera, alternative sensors, frontal versus not-frontal views, and different locations. Verification results are presented for public baseline algorithms and a commercial algorithm for three cases: comparing still images to still images, videos to videos, and still images to videos.
No license specified
293
9376
images, videos
face recognition
CVRL 3D Twins Expression Challenge (3D-TEC)
2011
This data set contains 3D face scans for 107 pairs of twins. There are 107 x 2 = 214 individuals, each with a 3D face scan with a smiling expression and a scan with a neutral expression, and so 214 x 2 = 428 scans. The scans were acquired with a Minolta Vivid 910.
No license specified
214
428
3D face scan
face recognition
CVRL The ND-Near Infrared and Visible-Light (ND-NIVL)
2012
The image collection comprises visible-light and near-IR face images of 574 subjects acquired from fall 2011 to spring 2012. There are a total of 2,341 visible-light face images of the 574 persons. There are a total of 22,264 near-IR face images, coming from two 230 subject-sessions. A total of 402 subjects had both visible-light and near-IR face images collected in one or more sessions in fall 2011 and also one or more sessions in spring 2012.
No license specified
574
22264
images
face recognition
CVRL ND-CrossSensor-Iris-2013
2012
This data set was initially released for the Cross Sensor Iris Recognition Challenge associated with the BTAS 2013 Conference. This dataset consists of 27 sessions of data with 676 unique subjects. An average session contains 160 unique subjects which have multiple images from both the LG2200 and LG4000 iris sensors. There are 29,986 images from the LG4000 and 116,564 images from the LG2200. Every subject occurs in at least two sessions across the entire data set. This data set spans three years, 2008 to 2010. The initial images are taken from both sensors and are 640 by 480. There are additional images included in this data set, known as the modified LG2200 images.
No license specified
676
150000
images
face recognition
CVRL ND-Collection J2
2005
1800 3D (and corresponding 2D) profile (ear) images from 415 human subjects captured between 2003 and 2005.
No license specified
415
1800
3D images
face recognition
CVRL Face and Ocular Challenge Series (FOCS)
2007
The goal of the Face and Ocular Challenge Series (FOCS) is to engage the research community to develop robust face and ocular recognition algorithms along a broad front. Currently the FOCS consists of three tracks: the Good, the Bad, and the Ugly (GBU); Video; and Ocular. These challenges are based on the results of previous NIST challenge problems and evaluations.
No license specified
437
1085
images
face recognition
CVRL ND-IIITD Retouched Face Database
2003
The ND-IIITD Retouched Faces database is a dataset of original face images and retouched versions of those face images. The database contains 2600 original images and 2275 altered images. It is meant for use in the problem of developing methods to classify a face image as original or retouched.
No license specified
2600
images
face recognition
CVRL EFCT 2017
2015
Data type: Face Still image, Approximate Download Size: 2.2 GB.
images
face recognition
CVRL ND-Collection B
2004
33,287 visible-light frontal face images captured from 487 human subjects from 2002 through 2004. Each subject was photographed with a high-resolution digital camera (1600 x 1200 or 2272 x 1704) under different lighting and expression conditions. Many subjects were photographed every week for 10 weeks in the Spring of 2002, 13 weeks in the fall of 2002 and 15 weeks in the spring of 2003. The number of images per subject ranges from 4 to 227 with an average of 68.
487
33287
images
face recognition
CVRL ND-Collection D
2004
Data Type: 3D + 2D Face Images, Approximate Download Size: 2.5 GB.
487
images
face recognition
CVRL ND-TWINS-2009-2010
2010
This data set contains 24,050 color photographs of the faces of 435 attendees at the Twins Days Festivals in Twinsburg, Ohio in 2009 and 2010. All images were captured by Nikon D90 SLR cameras. Images were captured under natural light in "indoor" and "outdoor" configurations ("indoor" was a tent). Facial yaw varied from -90 to +90 degrees in steps of 45 degrees (zero degrees was frontal).
435
24050
images
face recognition
CVRL ND-Collection X1
2004
2292 IR frontal face images and 2292 visible frontal face images from 82 human subjects captured from 2002-2004. Data Type: IR + Visible Face Images, Approximate Download Size: 3 GB.
82
2292
images
face recognition
CVRL Multiple Biometric Grand Challenge (MBGC) Version 2 Data Collection
2006
Data Type: IR Face and Iris Video, IR Iris Video, Visible Face Images and Video , Approximate Download Size: 110 GB (+UTD data: 36 GB).
images
face recognition
CVRL UTD Data Collection
2005
Notre Dame distributes a subset of the Database of Moving Faces and People data set, assembled by A.J. O'Toole and H. Abdi at the University of Texas at Dallas. The subset contains between 1 and 9 videos of 297 unique human subjects, with a total of 1019 videos and a data set size of 36GB.
297
1019
videos
face recognition
CVRL Notre Dame Synthetic Face Dataset (WACV 2019)
2019
The dataset contains two types of data: 1. A set of 3D head models (.abs files) and their corresponding 2D RGB registration image (.ppm files), obtained using a Konica-Minolta ‘Vivid 910’ 3D scanner, of real identities (subjects), either Male or Female in gender, and Caucasian or Asian in ethnicity. 2. A set of RGB face images, masked faces without context and background 800x600 in size, of fully synthetic subjects (identities) that do not exist in reality. The synthetic identities are generated by consistent sampling of facial parts from face images of different real identities, sampled from, either Male or Female in gender, and Caucasian or Asian in ethnicity. Since all the identities in this dataset are synthetic, i.e. they do not exist, they can be used freely without any privacy concerns. These synthetic face images were generated using Python and OpenGL, with minimal training, and can be used as – (1) supplemental training data to train CNNs, (2) additional distractor face images in the gallery for face verification experiments.
3D models
face recognition
EURECOM Kinect Face Dataset
2014
Depth information has been proved to be very effective in Image Processing community and with the popularity of Kinect since its introduction, RGB-D has been explored extensively for various applications. Therefore, the need for the development of Kinect image and video database is crucial. Here, our effort is to create a Kinect Face database of images of different facial expressions in different lighting and occlusion conditions to serve various research purposes. The Dataset consists of the multimodal facial images of 52 people (14 females, 38 males) obtained by Kinect. The data is captured in two sessions happened at different time period (about half month). In each session, the dataset provides the facial images of each person in 9 states of different facial expressions, different lighting and occlusion conditions: neutral, smile, open mouth, left profile, right profile, occlusion eyes, occlusion mouth, occlusion paper and light on.
No license specified
52
RGB-D images
face recognition
XM2VTSDB
1999
In this project a large multi-modal database was captured onto high quality digital video. The XM2VTSDB contains four recordings of 295 subjects taken over a period of four months. Each recording contains a speaking head shot and a rotating head shot. Sets of data taken from this database are available including high quality colour images, 32 KHz 16-bit sound files, video sequences and a 3d Model.
295
3d models, images, videos, audio
face recognition
Face Recognition Data, University of Essex
1996
There are 7900 images of 395 individuals. These are of a mix of genders and races.
No license specified
395
7900
images
face recognition
Face Video Database of the Max Planck Institute for Biological Cybernetics
2003
This database contains videos of facial action units which were recorded starting in autumn of 2003 at the MPI for Biological Cybernetics in the Face and Object Recognition Group, department Prof. Bülthoff, using the Videolab facilities created by Mario Kleiner and Christian Wallraven.
19
videos
face recognition
FaceScrub
2014
The face datasets that detects faces in images returned from searches for public figures on the Internet, followed by automatically discarding those not belonging to each queried person. The FaceScrub dataset was created using this approach, followed by manually checking and cleaning the results. It comprises a total of 106,863 face images of male and female 530 celebrities, with about 200 images per person.
530
106863
images
face recognition
FEI
2006
The FEI face database is a Brazilian face database that contains a set of face images taken between June 2005 and March 2006 at the Artificial Intelligence Laboratory of FEI in São Bernardo do Campo, São Paulo, Brazil. There are 14 images for each of 200 individuals, a total of 2800 images. All images are colourful and taken against a white homogenous background in an upright frontal position with profile rotation of up to about 180 degrees. Scale might vary about 10% and the original size of each image is 640x480 pixels. All faces are mainly represented by students and staff at FEI, between 19 and 40 years old with distinct appearance, hairstyle, and adorns. The number of male and female subjects are exactly the same and equal to 100.
No license specified
200
2800
images
face recognition
FiA
2006
The CMU FIA database, with imaging variations such as pose, illumination, expression, aging, and etc. is beneficial to the task of recognizing human faces. The database is especially helpful in relation to pose and face gesture variation, which is most difficult to model. This database consists of 20-second videos of face data from 180 participants mimicking a passport checking scenario. The data is captured by six synchronized cameras from three different angles, with an 8-mm and 4-mm focal-length for each of these angles. The image collection was performed in both a controlled, indoor environment and an open, outdoor environment for each participant. The data collection was taken in three sessions over a period of ten months, with a goal of a three month separation between sessions for each participant. The size of the database (257 GB) requires that it be shipped on a dedicated hard drive.
No license specified
180
videos
face recognition
Georgia Tech face database
1999
Georgia Tech face database (128MB) contains images of 50 people taken in two or three sessions between 06/01/99 and 11/15/99 at the Center for Signal and Image Processing at Georgia Institute of Technology. All people in the database are represented by 15 color JPEG images with cluttered background taken at resolution 640x480 pixels. The average size of the faces in these images is 150x150 pixels. The pictures show frontal and/or tilted faces with different facial expressions, lighting conditions and scale. Each image is manually labeled to determine the position of the face in the image.
No license specified
50
images
face recognition
PolyU-HSFD
2010
The Biometric Research Centre (UGC/CRC) at The Hong Kong Polytechnic University has developed a Hyperspectral Face database to advance research and to provide researchers working in the area of face recognition with an opportunity to compare the effectiveness of face recognition algorithms. The indoor hyperspectral face acquisition system was built which mainly consists of a CRI's VariSpec LCTF and a Halogen Light (Illustrated in Fig. 1), and includes a hyperspectral dataset of 300 hyperspectral image cubes from 25 volunteers with age range from 21 to 33 (8 female and 17 male). For each individual, several sessions were collected with an average time space of 5 month. The minimal interval is 3 months and the maximum is 10 months. Each session consists of three hyperspectral cubes-- frontal, right and left views with neutral-expression. The spectral range is from 400nm to 720nm with a step length of 10nm, producing 33 bands in all.
No license specified
25
300
hyperspectral images
face recognition
PolyU-NIR
2010
The Biometric Research Centre (UGC/CRC) at The Hong Kong Polytechnic University has developed a real time NIR face capture device (show in Figure 1), and has used it to construct a large-scale NIR face database. To advance research and to provide researchers working in the area of face recognition with an opportunity to compare the effectiveness of face recognition algorithms, we intend to publish our NIR face database, making it freely available for academic, noncommercial uses. The hardware of our NIR face image acquisition system consists of a camera, an LED (light emitting diode) light source, a filter, a frame grabber card and a computer. A snapshot of the constructed imaging system is shown in Fig. 1. The camera used is a JAI camera, which is sensitive to NIR band. The active light source is in the NIR spectrum between 780nm - 1,100 nm and it is mounted on the camera. The peak wavelength is 850nm, and it lies in the invisible and reflective light range of the electromagnetic spectrum. An NIR LED array is used as the active radiation sources, and it is strong enough for indoor use. The LEDs are arranged in a circle and they are mounted on the camera to make the illumination on the face is as homogeneous as possible. The strength of the total LED lighting is adjusted to ensure a good quality of the NIR face images when the camera face distance is between 80cm-120cm, which is convenient for the users.
No license specified
335
34000
NIR images
face recognition
IIIT-Delhi Disguise Version 1
2013
The dataset contains 681 images of 75 subjects with different kinds of disguise variations. Version 1 of the dataset consists of images captured in the visible spectrum. There is a further subset of this called the IIITD In and Beyond Visible Spectrum Disguise database, which includes both visible and thermal versions of the images.
75
681
thermal images
face recognition
IIIT-D Kinect RGB-D
2013
The database containing 3D RGB-D images giving face recognition with texture and attribute features.
106
4605
RGB-D images
face recognition
IIIT-D extendedWhoIsIt (eWIT)
2014
The list of URLs, along with a tool to download the images that are present at these URLs.
images
face recognition
IMFDB
2013
Indian Movie Face database (IMFDB) is a large unconstrained face database consisting of 34512 images of 100 Indian actors collected from more than 100 videos. All the images are manually selected and cropped from the video frames resulting in a high degree of variability interms of scale, pose, expression, illumination, age, resolution, occlusion, and makeup. IMFDB is the first face database that provides a detailed annotation of every image in terms of age, pose, gender, expression and type of occlusion that may help other face related applications.
No license specified
100
34512
images
face recognition
VidTIMIT
2003
The VidTIMIT dataset is comprised of video and corresponding audio recordings of 43 people, reciting short sentences. It can be useful for research on topics such as automatic lip reading, multi-view face recognition, multi-modal speech recognition and person identification.
No license specified
43
video, audio
face recognition
UFI
2015
Unconstrained Facial Images (UFI) is a novel real-world database that contains images extracted from real photographs acquired by reporters of the Czech News Agency (ČTK).
No license specified
530
4346
images
face recognition
Skin Segmentation
2009
The skin dataset is collected by randomly sampling B,G,R values from face images of various age groups (young, middle, and old), race groups (white, black, and asian), and genders obtained from FERET database and PAL database. Total learning sample size is 245057; out of which 50859 is the skin samples and 194198 is non-skin samples.
No license specified
245057
images
face recognition
UoY 3D
2008
The UoY 3D face dataset is a set of 3D images of the human face and consists of around 5000 3D images of approximately 350 people (15 models each). The data collection was planned and implemented by Tom Heseltine during his PhD in 3D Face Recognition at the Department of Computer Science, University of York. The data is in OBJ format with BMP textures and is available online for download by request.
No license specified
350
5000
3D images
face recognition
3D_RMA
1998
120 persons were asked to pose twice in front of the system: in Nov 97 (session1) and in January 98 (session2). For each session, 3 shots were recorded with different (but limited) orientations of the head: straight forward / Left or Right / Upward or downard. Among the 120 people, two thirds consist of students from the same ethnic origins and with nearly the same age. The last third consists of people of the academy, all aged between 20 and 60.
No license specified
120
3D points
face recognition
IMDB-WIKI
2015
460723 face images from 20284 celebrities from IMDb and 62328 from Wikipedia, thus 523051 in total.
No license specified
81000
523051
images
face recognition
FDDB
2015
The Face Detection Data Set and Benchmark (FDDB), a data set of face regions designed for studying the problem of unconstrained face detection. This data set contains the annotations for 5171 faces in a set of 2845 images taken from the Faces in the Wild data set.
No license specified
5171
images
face recognition
WIDER FACE
2015
WIDER FACE dataset is a face detection benchmark dataset, of which images are selected from the publicly available WIDER dataset. We choose 32203 images and label 393703 faces with a high degree of variability in scale, pose and occlusion as depicted in the sample images. WIDER FACE dataset is organized based on 61 event classes. For each event class, we randomly select 40%/10%/50% data as training, validation and testing sets. We adopt the same evaluation metric employed in the PASCAL VOC dataset.
No license specified
32203
images
face recognition
MegaFace
2016
The dataset includes One Million photos that capture more than 690K dif-ferent individuals.
No license specified
690000
1000000
images
face recognition
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