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Please note the license must be signed by a permanent faculty or research member from your university, and a scanned copy must be attached to the application.
INSTRUCTIONS FOR DOWNLOADING
LFW Soft Biometrics Database
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Download license agreement,
sign one copy, and send by email to atvs@uam.es according to the instructions given in point 2.
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Send an email to atvs@uam.es, as follows:
Subject:
[DATABASE download: LFW Soft Biometrics]
Body: Your name, e-mail, telephone
number, organization, postal mail, purpose for which you will use
the database, time and date at which you sent the email with the
signed license agreement.
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Once the email copy of the license
agreement has been received at ATVS, you will receive an email with a
username, a password, and a time slot to download the database.
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Download the database, for which you will need to provide the
authentication information given in step 3. After you finish the
download, please notify by email to atvs@uam.es that you have
successfully completed the transaction.
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For more information, please contact: atvs@uam.es
DESCRIPTION OF LFW SOFT BIOMETRICS Database
Labeled Faces in the Wild is a database of human face images designed as an aid in studying the problem of unconstrained face recognition. The database contains 13,233 target face images from 5749 different individuals.
In order to understand the utility of soft biometrics for person recognition as an aid to improve state-of-the-art face recognition systems in unconstrained scenarios, we have generated:.
A groundtruth of soft biometrics and facial attributes, namely: Gender, Age, Ethnicity, Glasses, Beard and Moustache as soft biometrics and Forehead, Mouth, Eyes, Smiling and Pose as facial attributes. A set of soft biometrics automatically estimated by Face++ and Microsoft Cognitive COTS: Gender, Age, Ethnicity, Glasses, Beard and Moustache. Output scores from face recognition system based on the VGG-face for the 10-folds from view 2 from LFW.
REFERENCES
For further information regarding the database, the different features approaches extracted from the data and the experimental work we refer the reader to:
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E. Gonzalez-Sosa, J. Fierrez, R. Vera-Rodriguez and F. Alonso-Fernandez, "Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation and COTS Evaluation", IEEE Trans. on Information Forensics and Security, Vol. 13, n. 8, August 2018. [PDF]
Please remember to reference this article on any work made public, whatever the form, based directly or indirectly on any part of the LFW SOFT BIOMETRICS database.
ACKNOWLEDGMENTS
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The acquisition of this database has been supported by project COGNIMETRICS (TEC2015-70627-R MINECO/FEDER). The work of J. Fierrez was supported by the Imperial College London under Grant PRX16/00580. The work of E. Gonzalez-Sosa was supported by a Ph.D. Scholarship from the Universidad Autonoma de Madrid. The work of F. Alonso-Fernandez was supported in part by the Swedish Research Council, in part by the CAISR program, and in part by the SIDUS-AIR project of the Swedish Knowledge Foundation.
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