From 927170748d5ae9f67df94059afda3d9620b97cd4 Mon Sep 17 00:00:00 2001
From: Jules Laplace <julescarbon@gmail.com>
Date: Thu, 17 Jan 2019 16:08:58 +0100
Subject: better css

---
 site/templates/home.html | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

(limited to 'site/templates')

diff --git a/site/templates/home.html b/site/templates/home.html
index a8695b4e..9756e21f 100644
--- a/site/templates/home.html
+++ b/site/templates/home.html
@@ -25,7 +25,7 @@
   </div>
 
   <section class='wide dataset-intro'>
-    <h2>Facial Recognition Datasets</h2>
+    <h2>Face Recognition Datasets</h2>
     <div class='right-sidebar'>
       <h4>SUMMARY</h4>
       <div class='meta'>
@@ -39,16 +39,16 @@
     </div>
 
     <p>
-      MegaPixels is an online art project that explores the history of facial recognition from the perspective of datasets. MegaPixels aims to unravel the meanings behind the data and expose the darker corners of the biometric industry that have contributed to its growth.
+      MegaPixels is an online art project that explores the history of face recognition from the perspective of datasets. MegaPixels aims to unravel the meanings behind the data and expose the darker corners of the biometric industry that have contributed to its growth.
     </p>
     <p>
-      Through a mix of case studies, visualizations, and interactive tools, Megapixels will use facial recognition datasets to tell the history of modern biometrics.  Many people have contributed to the development of facial recignition technology, both wittingly and unwittingly.  Not only scientists, but also celebrities and regular internet users have played a part.
+      Through a mix of case studies, visualizations, and interactive tools, Megapixels will use face recognition datasets to tell the history of modern biometrics.  Many people have contributed to the development of face recignition technology, both wittingly and unwittingly.  Not only scientists, but also celebrities and regular internet users have played a part.
     </p>
     <p>
-      Facial recognition is a mess of contradictinos.  It works, yet it doesn't actually work. It's cheap and accessible, but also expensive and out of control. Facial recognition research has achieved headline grabbing superhuman accuracies over 99.9%, yet in practice it's also dangerously inaccurate.
+      Face recognition is a mess of contradictinos.  It works, yet it doesn't actually work. It's cheap and accessible, but also expensive and out of control. Face recognition research has achieved headline grabbing superhuman accuracies over 99.9%, yet in practice it's also dangerously inaccurate.
     </p>
     <p>
-      During a trial installation at Sudkreuz station in Berlin in 2018, 20% of the matches were wrong, a number so low that it should not have any connection to law enforcement or justice. And in London, the Metropolitan police had been using facial recognition software that mistakenly identified an alarming 98% of people as criminals, which perhaps is a crime itself.
+      During a trial installation at Sudkreuz station in Berlin in 2018, 20% of the matches were wrong, a number so low that it should not have any connection to law enforcement or justice. And in London, the Metropolitan police had been using face recognition software that mistakenly identified an alarming 98% of people as criminals, which perhaps is a crime itself.
     </p>
   </section>
 
-- 
cgit v1.2.3-70-g09d2