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status: published
title: Labeled Faces in The Wild
-desc: Labeled Faces in The Wild (LFW) is a database of face photographs designed for studying the problem of unconstrained face recognition.
-subdesc: It includes 13,456 images of 4,432 people's images copied from the Internet during 2002-2004.
+desc: Labeled Faces in The Wild (LFW) is the first facial recognition dataset created entirely from online photos
+subdesc: It includes 13,456 images of 4,432 people's images copied from the Internet during 2002-2004 and is the most frequently used dataset in the world for benchmarking face recognition algorithms.
image: assets/background.jpg
slug: lfw
year: 2007
@@ -33,6 +33,8 @@ authors: Adam Harvey
## Labeled Faces in the Wild
+(PAGE UNDER DEVELOPMENT)
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*Labeled Faces in The Wild* (LFW) is "a database of face photographs designed for studying the problem of unconstrained face recognition[^lfw_www]. It is used to evaluate and improve the performance of facial recognition algorithms in academic, commercial, and government research. According to BiometricUpdate.com[^lfw_pingan], LFW is "the most widely used evaluation set in the field of facial recognition, LFW attracts a few dozen teams from around the globe including Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong."
The LFW dataset includes 13,233 images of 5,749 people that were collected between 2002-2004. LFW is a subset of *Names of Faces* and is part of the first facial recognition training dataset created entirely from images appearing on the Internet. The people appearing in LFW are...