From 03ed12b471c1e50ae531c46fcbf5afd06ca5432b Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Wed, 5 Dec 2018 18:23:32 +0100 Subject: build --- site/public/datasets/vgg_faces2/index.html | 20 +++++++------------- 1 file changed, 7 insertions(+), 13 deletions(-) (limited to 'site/public/datasets/vgg_faces2') diff --git a/site/public/datasets/vgg_faces2/index.html b/site/public/datasets/vgg_faces2/index.html index ee353047..95b5f7d7 100644 --- a/site/public/datasets/vgg_faces2/index.html +++ b/site/public/datasets/vgg_faces2/index.html @@ -18,23 +18,17 @@ The Darkside of Datasets
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  • Created 2007
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  • Images 13,233
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  • People 5,749
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  • Created From Yahoo News images
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  • Search available Searchable
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Labeled Faces in The Wild is amongst the most widely used facial recognition training datasets in the world and is the first dataset of its kind to be created entirely from Internet photos. It includes 13,233 images of 5,749 people downloaded from the Internet, otherwise referred to by researchers as “The Wild”.

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Eight out of 5,749 people in the Labeled Faces in the Wild dataset. The face recognition training dataset is created entirely from photos downloaded from the Internet.
Eight out of 5,749 people in the Labeled Faces in the Wild dataset. The face recognition training dataset is created entirely from photos downloaded from the Internet.

INTRO

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Labeled Faces in The Wild

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Created
2007
Images
13,233
People
5,749
Created From
Yahoo News images
Search available
[Searchable](#)

Labeled Faces in The Wild is amongst the most widely used facial recognition training datasets in the world and is the first dataset of its kind to be created entirely from Internet photos. It includes 13,233 images of 5,749 people downloaded from the Internet, otherwise referred to by researchers as “The Wild”.

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INTRO

It began in 2002. Researchers at University of Massachusetts Amherst were developing algorithms for facial recognition and they needed more data. Between 2002-2004 they scraped Yahoo News for images of public figures. Two years later they cleaned up the dataset and repackaged it as Labeled Faces in the Wild (LFW).

Since then the LFW dataset has become one of the most widely used datasets used for evaluating face recognition algorithms. The associated research paper “Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments” has been cited 996 times reaching 45 different countries throughout the world.

The faces come from news stories and are mostly celebrities from the entertainment industry, politicians, and villains. It’s a sampling of current affairs and breaking news that has come to pass. The images, detached from their original context now server a new purpose: to train, evaluate, and improve facial recognition.

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