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-rw-r--r--site/public/datasets/cofw/index.html2
-rw-r--r--site/public/datasets/duke_mtmc/index.html2
-rw-r--r--site/public/datasets/index.html10
-rw-r--r--site/public/datasets/msceleb/index.html6
-rw-r--r--site/public/datasets/uccs/index.html2
5 files changed, 11 insertions, 11 deletions
diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html
index 72f222c9..f335442c 100644
--- a/site/public/datasets/cofw/index.html
+++ b/site/public/datasets/cofw/index.html
@@ -124,7 +124,7 @@ To increase the number of training images, and since COFW has the exact same la
<li class="com">Commercial</li>
<li class="gov">Military / Government</li>
</ul>
- <div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
+ <div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> and then dataset usage verified and geolocated.</div >
</div><section>
<div class="hr-wave-holder">
diff --git a/site/public/datasets/duke_mtmc/index.html b/site/public/datasets/duke_mtmc/index.html
index 62e5d836..37a77387 100644
--- a/site/public/datasets/duke_mtmc/index.html
+++ b/site/public/datasets/duke_mtmc/index.html
@@ -38,7 +38,7 @@
<div>1,812 </div>
</div><div class='meta'>
<div class='gray'>Purpose</div>
- <div>Person re-identification and multi-camera tracking</div>
+ <div>Person re-identification, multi-camera tracking</div>
</div><div class='meta'>
<div class='gray'>Created by</div>
<div>Computer Science Department, Duke University, Durham, US</div>
diff --git a/site/public/datasets/index.html b/site/public/datasets/index.html
index 98db503e..6f87ff68 100644
--- a/site/public/datasets/index.html
+++ b/site/public/datasets/index.html
@@ -51,10 +51,10 @@
<a href="/datasets/duke_mtmc/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/duke_mtmc/assets/index.jpg)">
<div class="dataset">
- <span class='title'>Duke Multi-Target, Multi-Camera Tracking</span>
+ <span class='title'>Duke MTMC</span>
<div class='fields'>
<div class='year visible'><span>2016</span></div>
- <div class='purpose'><span>Person re-identification and multi-camera tracking</span></div>
+ <div class='purpose'><span>Person re-identification, multi-camera tracking</span></div>
<div class='images'><span>2,000,000 images</span></div>
<div class='identities'><span>1,812 </span></div>
</div>
@@ -75,7 +75,7 @@
<a href="/datasets/msceleb/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/msceleb/assets/index.jpg)">
<div class="dataset">
- <span class='title'>MS Celeb</span>
+ <span class='title'>Microsoft Celeb</span>
<div class='fields'>
<div class='year visible'><span>2016</span></div>
<div class='purpose'><span>Large-scale face recognition</span></div>
@@ -99,9 +99,9 @@
<a href="/datasets/uccs/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/index.jpg)">
<div class="dataset">
- <span class='title'>Unconstrained College Students</span>
+ <span class='title'>UnConstrained College Students</span>
<div class='fields'>
- <div class='year visible'><span>2018</span></div>
+ <div class='year visible'><span>2016</span></div>
<div class='purpose'><span>Face recognition, face detection</span></div>
<div class='images'><span>16,149 images</span></div>
<div class='identities'><span>1,732 </span></div>
diff --git a/site/public/datasets/msceleb/index.html b/site/public/datasets/msceleb/index.html
index e93c8c7e..fd64189c 100644
--- a/site/public/datasets/msceleb/index.html
+++ b/site/public/datasets/msceleb/index.html
@@ -17,7 +17,7 @@
<a class='slogan' href="/">
<div class='logo'></div>
<div class='site_name'>MegaPixels</div>
- <div class='splash'>MsCeleb</div>
+ <div class='splash'>Microsoft Celeb</div>
</a>
<div class='links'>
<a href="/datasets/">Datasets</a>
@@ -51,7 +51,7 @@
</div></div><h2>Microsoft Celeb Dataset (MS Celeb)</h2>
<p>[ PAGE UNDER DEVELOPMENT ]</p>
</section><section>
- <h3>Who used MsCeleb?</h3>
+ <h3>Who used Microsoft Celeb?</h3>
<p>
This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
@@ -74,7 +74,7 @@
<h3>Biometric Trade Routes</h3>
<p>
- To help understand how MsCeleb has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Microsoft Celebrity Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
+ To help understand how Microsoft Celeb has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Microsoft Celebrity Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
</p>
</section>
diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html
index 5bb120ba..c26caddc 100644
--- a/site/public/datasets/uccs/index.html
+++ b/site/public/datasets/uccs/index.html
@@ -29,7 +29,7 @@
<section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">UnConstrained College Students</span> is a dataset of long-range surveillance photos of students at University of Colorado in Colorado Springs</span></div><div class='hero_subdesc'><span class='bgpad'>The UnConstrained College Students dataset includes 16,149 images and 1,732 identities of subjects on University of Colorado Colorado Springs campus and is used for making face recognition and face detection algorithms
</span></div></div></section><section><div class='left-sidebar'><div class='meta'>
<div class='gray'>Published</div>
- <div>2018</div>
+ <div>2016</div>
</div><div class='meta'>
<div class='gray'>Images</div>
<div>16,149 </div>