From c07ee775f0ae32fe13d950787c178e84d9bd2bcd Mon Sep 17 00:00:00 2001 From: adamhrv Date: Mon, 11 Mar 2019 00:27:14 +0100 Subject: ars update, preview --- site/public/datasets/lfw/index.html | 1 + 1 file changed, 1 insertion(+) (limited to 'site/public/datasets/lfw') diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index 814cd167..4fbd06a5 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -37,6 +37,7 @@
  • * denotes partial funding for related research

    • Labeled Faces in the Wild

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    (PAGE UNDER DEVELOPMENT)

    Labeled Faces in The Wild (LFW) is "a database of face photographs designed for studying the problem of unconstrained face recognition 1. It is used to evaluate and improve the performance of facial recognition algorithms in academic, commercial, and government research. According to BiometricUpdate.com 3, 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...

    The Names and Faces dataset was the first face recognition dataset created entire from online photos. However, Names and Faces and LFW are not the first face recognition dataset created entirely "in the wild". That title belongs to the UCD dataset. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.

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