From 3b10acc73247ec703ed47f0423e7d255a91f074e Mon Sep 17 00:00:00 2001
From: Jules Laplace <julescarbon@gmail.com>
Date: Sun, 16 Dec 2018 00:11:20 +0100
Subject: tabulator

---
 site/public/datasets/lfw/index.html       | 6 +++---
 site/public/datasets/vgg_face2/index.html | 4 ++--
 2 files changed, 5 insertions(+), 5 deletions(-)

(limited to 'site/public/datasets')

diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html
index e75e79cf..b375247b 100644
--- a/site/public/datasets/lfw/index.html
+++ b/site/public/datasets/lfw/index.html
@@ -8,6 +8,7 @@
   <meta name="referrer" content="no-referrer" />
   <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
   <link rel='stylesheet' href='/assets/css/fonts.css' />
+  <link rel='stylesheet' href='/assets/css/tabulator.css' />
   <link rel='stylesheet' href='/assets/css/css.css' />
   <link rel='stylesheet' href='/assets/css/applets.css' />
 </head>
@@ -19,7 +20,6 @@
       <span class='sub'>The Darkside of Datasets</span>
     </a>
     <div class='links'>
-      <a href="/search/">Face Search</a>
       <a href="/datasets/">Datasets</a>
       <a href="/research/">Research</a>
       <a href="/about/">About</a>
@@ -29,7 +29,7 @@
     
   <section><h1>Labeled Faces in the Wild</h1>
 </section><section><div class='meta'><div><div class='gray'>Created</div><div>2007</div></div><div><div class='gray'>Images</div><div>13,233</div></div><div><div class='gray'>People</div><div>5,749</div></div><div><div class='gray'>Created From</div><div>Yahoo News images</div></div><div><div class='gray'>Search available</div><div>Searchable</div></div></div></section><section><p>Labeled Faces in The Wild (LFW) is amongst the most widely used facial recognition training datasets in the world and is the first of its kind to be created entirely from images posted online. The LFW dataset includes 13,233 images of 5,749 people that were collected between 2002-2004. Use the tools below to check if you were included in this dataset or scroll down to read the analysis.</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", "opt": "lfw_names_gender_kg_min.csv", "fields": "Name, Images, Gender, Description"}'></div></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_feature.jpg' alt='Eighteen of the 5,749 people in the Labeled Faces in the Wild Dataset. The most widely used face dataset for benchmarking commercial face recognition algorithms.'><div class='caption'>Eighteen of the 5,749 people in the Labeled Faces in the Wild Dataset. The most widely used face dataset for benchmarking commercial face recognition algorithms.</div></div></section><section><h2>Intro</h2>
+</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", "opt": "https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_names_gender_kg_min.csv", "fields": "Name, Images, Gender, Description"}'></div></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_feature.jpg' alt='Eighteen of the 5,749 people in the Labeled Faces in the Wild Dataset. The most widely used face dataset for benchmarking commercial face recognition algorithms.'><div class='caption'>Eighteen of the 5,749 people in the Labeled Faces in the Wild Dataset. The most widely used face dataset for benchmarking commercial face recognition algorithms.</div></div></section><section><h2>Intro</h2>
 <p>Three paragraphs describing the LFW dataset in a format that can be easily replicated for the other datasets. Nothing too custom. An analysis of the initial research papers with context relative to all the other dataset papers.</p>
 </section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_montage_everyone_1920.jpg' alt=' all 5,749 people in the LFW Dataset sorted from most to least images collected.'><div class='caption'> all 5,749 people in the LFW Dataset sorted from most to least images collected.</div></div></section><section><h2>LFW by the Numbers</h2>
 <ul>
@@ -66,7 +66,7 @@
 <p>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."</p>
 <p>According to researchers at the Baidu Research – Institute of Deep Learning "LFW has been the most popular evaluation benchmark for face recognition, and played a very important role in facilitating the face recognition society to improve algorithm. [^lfw_baidu]."</p>
 <p>In addition to commercial use as an evaluation tool, alll of the faces in LFW dataset are prepackaged into a popular machine learning code framework called scikit-learn.</p>
-<pre><code>load file: lfw_commercial_use.csv
+<pre><code>load file: assets/lfw_commercial_use.csv
 name_display,company_url,example_url,country,description
 </code></pre>
 <table>
diff --git a/site/public/datasets/vgg_face2/index.html b/site/public/datasets/vgg_face2/index.html
index 63bb2cc0..46242505 100644
--- a/site/public/datasets/vgg_face2/index.html
+++ b/site/public/datasets/vgg_face2/index.html
@@ -8,6 +8,7 @@
   <meta name="referrer" content="no-referrer" />
   <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
   <link rel='stylesheet' href='/assets/css/fonts.css' />
+  <link rel='stylesheet' href='/assets/css/tabulator.css' />
   <link rel='stylesheet' href='/assets/css/css.css' />
   <link rel='stylesheet' href='/assets/css/applets.css' />
 </head>
@@ -19,7 +20,6 @@
       <span class='sub'>The Darkside of Datasets</span>
     </a>
     <div class='links'>
-      <a href="/search/">Face Search</a>
       <a href="/datasets/">Datasets</a>
       <a href="/research/">Research</a>
       <a href="/about/">About</a>
@@ -29,7 +29,7 @@
     
   <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", "opt": "lfw_names_gender_kg_min.csv", "fields": "Name, Images, Gender, Description"}'></div></section><section><h2>VGG Face2 by the Numbers</h2>
+</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", "opt": "https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/vgg_face2/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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