From 92cdcf6e684a2de2846865e99281d939cc3ecd5a Mon Sep 17 00:00:00 2001
From: Jules Laplace <julescarbon@gmail.com>
Date: Tue, 16 Apr 2019 17:26:54 +0200
Subject: fix the sidebar

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 site/public/datasets/viper/index.html | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

(limited to 'site/public/datasets/viper')

diff --git a/site/public/datasets/viper/index.html b/site/public/datasets/viper/index.html
index 5b3ac35b..494c249b 100644
--- a/site/public/datasets/viper/index.html
+++ b/site/public/datasets/viper/index.html
@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/viper/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">VIPeR</span> is a person re-identification dataset of images captured at UC Santa Cruz in 2007</span></div><div class='hero_subdesc'><span class='bgpad'>VIPeR contains 1,264 images and 632 persons on the UC Santa Cruz campus and is used to train person re-identification algorithms for surveillance
-</span></div></div></section><section><div class='right-sidebar'><div class='meta'>
+</span></div></div></section><section><h2>VIPeR Dataset</h2>
+</section><div class='right-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
     <div>2007</div>
   </div><div class='meta'>
@@ -45,8 +46,7 @@
   </div><div class='meta'>
     <div class='gray'>Website</div>
     <div><a href='https://vision.soe.ucsc.edu/node/178' target='_blank' rel='nofollow noopener'>ucsc.edu</a></div>
-  </div></div><h2>VIPeR Dataset</h2>
-<p>[ page under development ]</p>
+  </div></div><section><p>[ page under development ]</p>
 <p><em>VIPeR (Viewpoint Invariant Pedestrian Recognition)</em> is a dataset of pedestrian images captured at University of California Santa Cruz in 2007. Accoriding to the reserachers 2 "cameras were placed in different locations in an academic setting and subjects were notified of the presence of cameras, but were not coached or instructed in any way."</p>
 <p>VIPeR is amongst the most widely used publicly available person re-identification datasets. In 2017 the VIPeR dataset was combined into a larger person re-identification created by the Chinese University of Hong Kong called PETA (PEdesTrian Attribute).</p>
 </section><section>
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