From 49aacc3d3f1cb9dba89dbc7296e8b63378883425 Mon Sep 17 00:00:00 2001
From: adamhrv <adam@ahprojects.com>
Date: Sat, 2 Mar 2019 11:41:54 +0100
Subject: css tweaks

---
 site/public/datasets/index.html           | 13 ++++++++-----
 site/public/datasets/lfw/index.html       |  2 +-
 site/public/datasets/vgg_face2/index.html |  2 +-
 3 files changed, 10 insertions(+), 7 deletions(-)

(limited to 'site/public/datasets')

diff --git a/site/public/datasets/index.html b/site/public/datasets/index.html
index 6e4af145..9cd50016 100644
--- a/site/public/datasets/index.html
+++ b/site/public/datasets/index.html
@@ -25,19 +25,22 @@
       <a href="/about/">About</a>
     </div>
   </header>
-  <div class="content">
+  <div class="content content-">
     
 
   <section><h1>Facial Recognition Datasets</h1>
-</section><section><div class='meta'><div><div class='gray'>Found</div><div>275 datasets</div></div><div><div class='gray'>Created between</div><div>1993-2018</div></div><div><div class='gray'>Smallest dataset</div><div>20 images</div></div><div><div class='gray'>Largest dataset</div><div>10,000,000 images</div></div></div><section><section><div class='meta'><div><div class='gray'>Highest resolution faces</div><div>450x500 (Unconstrained College Students)</div></div><div><div class='gray'>Lowest resolution faces</div><div>16x20 pixels (QMUL SurvFace)</div></div></div><section>
+</section>
 
   <section class='wide dataset-intro'>
-    <p>
-      We have prepared detailed case studies of some of the more noteworthy datasets, including tools to help you learn what is contained in these datasets, and even whether your own face has been used to train these algorithms.
-    </p>
 
     <div class="dataset-list">
     
+      <a href="/datasets/brainwash/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/index.jpg)">
+        <div class="dataset">
+          <span>Brainwash</span>
+        </div>
+      </a>
+    
       <a href="/datasets/cofw/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/cofw/assets/index.jpg)">
         <div class="dataset">
           <span>Caltech Occluded Faces in The Wild</span>
diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html
index 247dee42..a8a0aa4b 100644
--- a/site/public/datasets/lfw/index.html
+++ b/site/public/datasets/lfw/index.html
@@ -25,7 +25,7 @@
       <a href="/about/">About</a>
     </div>
   </header>
-  <div class="content">
+  <div class="content content-">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span><span style='color: #ff0000'>Labeled Faces in The Wild</span> (LFW) is a database of face photographs designed for studying the problem of unconstrained face recognition.</span></div><div class='hero_subdesc'><span>It includes 13,456 images of 4,432 people’s images copied from the Internet during 2002-2004.
 </span></div></div></section><section><div class='image'><div class='caption'>A few 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><div class='right-sidebar'><h3>Statistics</h3>
diff --git a/site/public/datasets/vgg_face2/index.html b/site/public/datasets/vgg_face2/index.html
index efe6cb84..f06bc879 100644
--- a/site/public/datasets/vgg_face2/index.html
+++ b/site/public/datasets/vgg_face2/index.html
@@ -25,7 +25,7 @@
       <a href="/about/">About</a>
     </div>
   </header>
-  <div class="content">
+  <div class="content content-">
     
   <section><h1>VGG Face 2</h1>
 </section><section><div class='meta'><div><div class='gray'>Years</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Identities</div><div>TBD</div></div><div><div class='gray'>Origin</div><div>TBD</div></div><div><div class='gray'>Funding</div><div>IARPA</div></div></div><section><section class='fullwidth'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/vgg_face2/assets/vgg_face2_index.gif' alt='...'><div class='caption'>...</div></div></section><section><h3>Analysis</h3>
-- 
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