Face database

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Low Prices on Face 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. 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. 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. AR Face Database : Color Images: Yes: Image Size: 576 x 768 : Number of unique people: 126; 70 Male, 56 Female: Number of pictures per person: 26: Different Conditions: All frontal views of: neutral expression, smile, anger, scream, left light on, right light on, all sides lights on, wearing sun glasses, wearing sun glassses and left light on, wearing sun glasses and right light on, wearing.

Face - at Amazon.co.u

FDDB: Face Detection Data Set and Benchmark This data set contains the annotations for 5171 faces in a set of 2845 images taken from the well-known Faces in the Wild (LFW) data set. MALF: Multi-Attribute Labelled Faces Contains 5,250 images with 11,931 annotated faces collected from the Internet. Many other face databases are available nowadays. The current trend is to recognize faces from different views, under varying illumination, or along time differences (aging). Here are some. 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. The Chicago Face Database was developed at the University of Chicago by Debbie S. Ma, Joshua Correll, and Bernd Wittenbrink. The CFD is intended for use in scientific research. It provides high-resolution, standardized photographs of male and female faces of varying ethnicity between the ages of 17-65. Extensive norming data are available for each individual model. These data include both physical attributes (e.g., face size) as well as subjective ratings by independent judges (e.g.

Welcome to the FEI Database The FEI Database is updated in real time by the National Federations and the FEI. It contains detailed information on: FEI Calendar & Results: The FEI Calendar and Results tool allows you to search the entire FEI Calendar (over 3,400 events worldwide) according to any set of filters (date, discipline, venue, event type, etc). The information is presented in two. One of the most influential face databases is the FERET or COLOR FERET database: http://www.nist.gov/itl/iad/ig/colorferet.cfm. The database contains 1564 sets of images for a total of 14,126. Tufts Face Database is the most comprehensive, large-scale (over 10,000 images, 74 females + 38 males, from more than 15 countries with an age range between 4 to 70 years old) face dataset that contains 7 image modalities: visible, near-infrared, thermal, computerized sketch, LYTRO, recorded video, and 3D images. This webpage/dataset contains the Tufts Face Database three-dimensional (3D. The BioID Face Database has been recorded and is published to give all researchers working in the area of face detection the possibility to compare the quality of their face detection algorithms with others. It may be used for such purposes without further permission. During the recording special emphasis has been placed on real world conditions. Therefore the testset features a large. This face database was created by Aleix Martinez and Robert Benavente at the Computer Vision Center (CVC) at the University of Alabama at Birmingham (U.A.B.). It contains over 4,000 color images of 126 people's faces (70 men and 56 women). The images are frontal view faces depicting different facial expressions, illumination conditions, and add-ons like sunglasses and scarves. The pictures.

UTKFace dataset is a large-scale face dataset with long age span (range from 0 to 116 years old). The dataset consists of over 20,000 face images with annotations of age, gender, and ethnicity. The images cover large variation in pose, facial expression, illumination, occlusion, resolution, etc. This dataset could be used on a variety of tasks, e.g., face detection, age estimation, age. The Radboud Faces Database is a freely available face database for scientific purposes and it contains caucasian face images. Cite. 21st May, 2015. Kenneth Sung Lai Yuen. Universitätsmedizin der. 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. This is a public preview of the FACES collection. Research-related publication and display of the corre

Synopsis. The Yale Face Database (size 6.4MB) 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 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). It contains frontal view faces with different facial expressions, illumination conditions, and occlusions (sun glasses and scarf). The pictures were taken at the CVC under strictly. 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. This database is unique in three aspects The FEI face database is available for research purposes only. Permission to use but not distribute or reproduce this database is granted to all researchers. Description and Download. 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. SCface database is available to research community through the procedure described below. Please refer to original SCface paper for further information: Mislav Grgic, Kresimir Delac, Sonja Grgic, SCface - surveillance cameras face database, Multimedia Tools and Applications Journal, Vol. 51, No. 3, February 2011, pp. 863-87

Face Recognition Homepage - Databases

The RaFD is a high quality faces database, which contain pictures of eight emotional expressions. Accordingly to the Facial Action Coding System, each model was trained to show the following expressions: Anger, disgust, fear, happiness, sadness, surprise, contempt, and neutral. Each emotion was shown with three different gaze directions and all pictures were taken from five camera angles. Welcome to the Mass Effect 2 Face Database Share your Mass Effect hero with your fellow gamers! Custom Hair | Save Editor | Mass Effect Saves | Contact Me: Femsheps | Mansheps | ME2-to-ME1 | Modding! (UPDATED) Type: All Celebrities Only: Gender: Both Male Female: Sort by: Date Added Rating: Follow @facesofgaming Mass Effect 2 is a science fiction action-RPG created by BioWare Corp., the. A data-driven approach to cleaning large face datasets. Proc. IEEE International Conference on Image Processing (ICIP), Paris, France, Oct. 27-30, 2014. Please cite the above paper if you use the FaceScrub dataset. * The original release of FaceScrub contained slightly more face images (107,818) but included a number of duplicates as well as a few mislabeled and morphed faces. These have been.

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The PubFig database is a large, real-world face dataset consisting of 58,797 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, etc. The PubFig dataset. In this paper, we introduce the Chicago Face Database, a free resource consisting of 158 high-resolution, standardized photographs of Black and White males and females between the ages of 18 and 40 years and extensive data about these targets. In Study 1, we report pre-testing of these faces, which includes both subjective norming data and objective physical measurements of the images included.

The Identify API is used to identify a detected face against a database of people (facial recognition search). This feature might be useful for automatic image tagging in photo management software. You create the database in advance, and you can edit it over time. The following image shows an example of a database named myfriends. Each group can contain up to 1 million different person. Once a face has been captured, the cropped image will be relayed with an HTTP form data request to the back end. This facial image is then saved by the API, both on the local file system and in the detection log, appended with a personID. On the back end, an algorithm identifies records where 'classified=false' and uses the Dlib function to generate the 128-dimension vector that details. Face Databases From Other Research Groups . We list some face databases widely used for face related studies, and summarize the specifications of these databases as below. 1. Caltech Occluded Face in the Wild (COFW). o Source: The COFW face dataset is built by California Institute of Technology

Face Database Info - MI

  1. Facial expression databases - Wikipedi
  2. The Database of Faces
  3. AT&T Database of Faces Kaggl

Face Detection Datasets & Databases - facial finding

  1. AR Face Database Webpage - Ohio State Universit
  2. CFD Chicago Face Database
  3. Welcome to FEI Database
  4. Which is the best source to get the free face database
  5. Tufts Face Database Kaggl

BioID Face Database Face Detection Dataset facedb - BioI

  1. Kairos: 60 Facial Recognition Databases
  2. UTKFace Large Scale Face Datase
  3. Does sombeody know a large database of human faces which
  4. FACES - FACES: A database of facial expressions in young
  5. Yale Face Database vision
  6. Facial Expression Public Databases on Behanc

Bosphorus 3D Face Database > Hom

  1. FEI Face Database - Centro Universitário da FE
  2. SCface - Surveillance Cameras Face Database
  3. Radboud Faces Database - r
  4. Mass Effect 2 Faces Character Database
  5. vintage - resource
  6. Pubfig: Public Figures Face Database - Columbia Universit
  7. The Chicago face database: A free stimulus set of faces

What is the Azure Face service? - Azure Cognitive Services

  1. How to build a face detection and - Towards Data Scienc
  2. Face Databases From Other Research Group
  3. Design & Create a Faces Database For Face Recognition (1_2)
  4. Face Database Pro V8.0 INTRODUCTION
  5. Face Database Pro V8.0 - Search Pages & Groups
  6. Face Database from Outer Space | Serious Business
  7. Face Database Pro V5.1 Place Tutorial

Video: Why your face could be in a police image database

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