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tokk-nv · May 18, 2023 · 8d96e4f · 8d96e4f
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diff --git a/master/examples/collision_avoidance.html b/master/examples/collision_avoidance.html
@@ -782,7 +782,8 @@
 <h1 id="collision-avoidance">Collision Avoidance</h1>
 <p>In this example we'll collect an <em>image classification</em> dataset that will be used to help keep
 JetBot safe!  We'll teach JetBot to detect two scenarios <code>free</code> and <code>blocked</code>.  We'll use this AI classifier to prevent JetBot from entering dangerous territory.</p>
-<p><a href="http://www.youtube.com/watch?v=6cLk9TSgFSw" title="Launching of JetBots"><img alt="" src="http://img.youtube.com/vi/6cLk9TSgFSw/0.jpg" /></a></p>
+<iframe width="640" height="360" src="https://www.youtube.com/embed/6cLk9TSgFSw" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
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 <h4 id="step-1-collect-data-on-jetbot">Step 1 - Collect data on JetBot</h4>
 <p><a href="https://raw.githubusercontent.com/wiki/NVIDIA-AI-IOT/jetbot/images/JL03a_Data-Collection.png"><img src="https://raw.githubusercontent.com/wiki/NVIDIA-AI-IOT/jetbot/images/JL03a_Data-Collection.png" height="320"></a></p>
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diff --git a/master/examples/object_following.html b/master/examples/object_following.html
@@ -657,7 +657,8 @@ <h1 id="object-following">Object Following</h1>
 <p>Please note that example for now only works with the SD card image based software setup.</p>
 </details>
 <p>In this example we'll have JetBot follow an object using a pre-trained model capable of detecting common objects like<code>Person</code>, <code>Cup</code>, and <code>Dog</code>.  While doing this, JetBot will run the collision avoidance model from Example 3 to make sure it stays safe!</p>
-<p><a href="http://www.youtube.com/watch?v=MBUEbU9Q6wg" title="Dancing with JetBot"><img alt="" src="http://img.youtube.com/vi/MBUEbU9Q6wg/0.jpg" /></a></p>
+<iframe width="640" height="360" src="https://www.youtube.com/embed/MBUEbU9Q6wg" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
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 <li>
 <p>Download the object detection model according to the table below</p>

diff --git a/master/search/search_index.json b/master/search/search_index.json
diff --git a/master/sitemap.xml.gz b/master/sitemap.xml.gz