Here are some face data sets often used by researchers:
The FERET program set out to
establish a large database of facial images that was gathered
independently from the algorithm developers. Dr. Harry Wechsler at
George Mason University was selected to direct the collection of this
database.
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.
Database contains 4160 static images (in visible and infrared spectrum)
of 130 subjects.
A close relationship exists
between the advancement of face recognition algorithms and the
availability of face databases varying factors that affect facial
appearance in a controlled manner. The PIE database, collected at
Carnegie Mellon University in 2000, has been very influential in
advancing research in face recognition across pose and illumination.
Contains 165 grayscale images in
GIF format of 15 individuals. There are 11 images per subject, one per
different facial expression or configuration: center-light, w/glasses,
happy, left-light, w/no glasses, normal, right-light, sad, sleepy,
surprised, and wink.
Contains 5760 single light
source images of 10 subjects each seen under 576 viewing conditions (9
poses x 64 illumination conditions). For every subject in a particular
pose, an image with ambient (background) illumination was also captured.
A database of 41,368 images of
68 people, each person under 13 different poses, 43 different
illumination conditions, and with 4 different expressions.
Capturing scenario mimics the
real world applications, for example, when a person is going through the
airport check-in point. Six cameras capture human faces from three
different angles. Three out of the six cameras have smaller focus
length, and the other three have larger focus length.
Ten different images of each of
40 distinct subjects. For some subjects, the images were taken at
different times, varying the lighting, facial expressions (open / closed
eyes, smiling / not smiling) and facial details (glasses / no glasses).
Subjects in the released portion
of the Cohn-Kanade AU-Coded Facial Expression Database are 100
university students.
The MIT-CBCL face recognition
database contains face images of 10 subjects. It provides two training
sets: 1. High resolution pictures, including frontal, half-profile and
profile view; 2. Synthetic images (324/subject) rendered from 3D head
models of the 10 subjects.
Image
Database of Facial Actions and Expressions - Expression
Image Database
24 subjects are represented in
this database, yielding between about 6 to 18 examples of the 150
different requested actions. Thus, about 7,000 color images are included
in the database, and each has a matching gray scale image used in the
neural network analysis.
395 individuals (male and
female), 20 images per individual. Contains images of people of various
racial origins, mainly of first year undergraduate students, so the
majority of indivuals are between 18-20 years old but some older
individuals are also present. Some individuals are wearing glasses and
beards.
There are images of 1573
individuals (cases) 1495 male and 78 female.
NLPR Face Database
450 face images. 896 x 592 pixels. JPEG format. 27 or so unique people under with different lighting/expressions/backgrounds.
Database is made up from 37
different faces and provides 5 shots for each person.
Contains four recordings of 295
subjects taken over a period of four months.
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).
Contains 125 different faces
each in 16 different camera calibration and illumination condition, an
additional 16 if the person has glasses.
The CAS-PEAL face database has
been constructed under the sponsors of National Hi-Tech Program and
ISVISION.
The database contains 213 images
of 7 facial expressions (6 basic facial expressions + 1 neutral) posed
by 10 Japanese female models. Each image has been rated on 6 emotion
adjectives by 60 Japanese subjects.
The 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 reasons the set also contains manually set eye postions.
This is a collection of images
useful for research in Psychology, such as sets of faces and objects.
The images in the database are organised into SETS, with each set often
representing a separate experimental study.
Consists of 564 images of 20
people. Each covering a range of poses from profile to frontal views.
This database contains short video sequences of facial Action Units
recorded simultaneously from six different viewpoints, recorded in 2003
at the Max Planck Institute for Biological Cybernetics.
450 face images. 896 x 592 pixels. JPEG format. 27 or so unique people under with different lighting/expressions/backgrounds.
Human identification from facial
features has been studied primarily using imagery from visible video
cameras. Thermal imaging sensors are one of the most innovative emerging
techonologies in the market.
With the aim to facilitate the
development of robust audio, face, and multi-modal person recognition
systems, the large and realistic multi-modal (audio-visual) VALID
database was acquired in a noisy "real world" office scenario with no
control on illumination or acoustic noise.
The database has two parts. Part
one contains colour pictures of faces having a high degree of
variability in scale, location, orientation, pose, facial expression and
lighting conditions, while part two has manually segmented results for
each of the images in part one of the database.
The database contains images of 50 people and is stored in JPEG format.
For each individual, there are 15 color images captured between
06/01/99 and 11/15/99.
The database contains a set of
face images taken in February, 2002 in the IIT Kanpur campus. There are
eleven different images of each of 40 distinct subjects.
The VidTIMIT database is
comprised of video and corresponding audio recordings of 43 people,
reciting short sentences. It can be useful for research on topics such
as multi-view face recognition, automatic lip reading and multi-modal
speech recognition.
LFWcrop is a cropped version of
the Labeled Faces in the Wild (LFW) dataset, keeping only the center
portion of each image (i.e. the face).
The 3D_RMA database is a
collection of two sessions (Nov 1997 and Jan 1998) consisting of 120
persons. For each session, three shots were recorded with different (but
limited) orientations of the head.
GavabDB is a 3D face database.
It contains 549 three-dimensional images of facial surfaces. These
meshes correspond to 61 different individuals (45 male and 16 female)
having 9 images for each person.
This database is formed by up to
109 subjects (75 men and 34 women), with 32 colour images per person.
Each picture has a 320 x 240 pixel resolution, with the face occupying
most of the image in an upright position.
This database contains 106
subjects, with approximately one woman every three men.
The BJUT-3D is a three dimension
face database including 500 Chinese persons. There are 250 females and
250 males in the database.
The Bosphorus Database is a new
3D face database that includes a rich set of expressions, systematic
variation of poses and different types of occlusions.
PUT Face Database consists of
almost 10000 hi-res images of 100 people.
The Basel Face Model (BFM) is a
3D Morphable Face Model constructed from 100 male and 100 female example
faces.
The plastic surgery face
database is a real world database that contains 1800 pre and post
surgery images pertaining to 900 subjects.
The Iranian Face Database
(IFDB), the first image database in middle-east, contains color facial
imagery of a large number of Iranian subjects.
The Biometric Research Centre at
The Hong Kong Polytechnic University developed a real time NIR face
capture device and used it to construct a large-scale NIR face
database.
The database contains both
spontaneous and posed expressions of more than 100 subjects, recorded
simultaneously by a visible and an infrared thermal camera, with
illumination provided from three different directions.
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 Sao Bernardo do Campo, Sao Paulo, Brazil.
ChokePoint video dataset is
designed for experiments in person identification/verification under
real-world surveillance conditions using existing technologies.
The University of Milano Bicocca
3D face database is a collection of multimodal (3D + 2D colour images)
facial acquisitions.
The primary use of VADANA is for
the problems of face verification and recognition across age
progression.
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