From 6431d06048791763f3644b3a0457cc9c4f1df6d3 Mon Sep 17 00:00:00 2001
From: Jules Laplace <julescarbon@gmail.com>
Date: Sun, 16 Dec 2018 18:11:12 +0100
Subject: csvs and citations

---
 site/public/datasets/vgg_face2/index.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'site/public/datasets/vgg_face2/index.html')

diff --git a/site/public/datasets/vgg_face2/index.html b/site/public/datasets/vgg_face2/index.html
index 90216add..63715a4f 100644
--- a/site/public/datasets/vgg_face2/index.html
+++ b/site/public/datasets/vgg_face2/index.html
@@ -30,7 +30,7 @@
     
   <section><h1>VGG Faces2</h1>
 </section><section><div class='meta'><div><div class='gray'>Created</div><div>2018</div></div><div><div class='gray'>Images</div><div>3.3M</div></div><div><div class='gray'>People</div><div>9,000</div></div><div><div class='gray'>Created From</div><div>Scraping search engines</div></div><div><div class='gray'>Search available</div><div>[Searchable](#)</div></div></div></section><section><p>VGG Face2 is the updated version of the VGG Face dataset and now includes over 3.3M face images from over 9K people. The identities were selected by taking the top 500K identities in Google's Knowledge Graph of celebrities and then selecting only the names that yielded enough training images. The dataset was created in the UK but funded by Office of Director of National Intelligence in the United States.</p>
-</section><section><div class='applet' data-payload='{"command": "face_search"}'></div></section><section><div class='applet' data-payload='{"command": "name_search"}'></div></section><section><div class='applet' data-payload='{"command": "load_file assets/lfw_names_gender_kg_min.csv"}'></div></section><section><h2>VGG Face2 by the Numbers</h2>
+</section><section class='applet_container'><div class='applet' data-payload='{"command": "face_search"}'></div></section><section class='applet_container'><div class='applet' data-payload='{"command": "name_search"}'></div></section><section class='applet_container'><div class='applet' data-payload='{"command": "load_file assets/lfw_names_gender_kg_min.csv", "fields": ["Name, Images, Gender, Description"]}'></div></section><section><h2>VGG Face2 by the Numbers</h2>
 <ul>
 <li>1,331 actresses, 139 presidents</li>
 <li>3 husbands and 16 wives</li>
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