<?xml-stylesheet type="text/xsl" href="https://community.element14.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/"><channel><title>Save the Bees - Machine Learning</title><link>/challenges-projects/design-challenges/save-the-bees-design-challenge/b/blog/posts/save-the-bees---machine-learning</link><description>IntroThe project kit has not arrived yet, but I want to keep the project moving with another interesting post. This blog covers recognition of various bugs by a computer vision system that uses machine learning to identify the various bugs. It also i</description><dc:language>en-US</dc:language><generator>Telligent Community 12</generator><item><title>RE: Save the Bees - Machine Learning</title><link>https://community.element14.com/challenges-projects/design-challenges/save-the-bees-design-challenge/b/blog/posts/save-the-bees---machine-learning</link><pubDate>Tue, 21 Feb 2023 22:53:55 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:a2637da7-4659-4e7c-ad47-0ab70fe34961</guid><dc:creator>dang74</dc:creator><slash:comments>1</slash:comments><description>&lt;p&gt;The HuskyLens seems very accessible.&amp;nbsp; It&amp;#39;s brilliant how you can do the training with a couple of buttons.&amp;nbsp; It&amp;#39;s definitely a well thought out product.&lt;/p&gt;&lt;img src="https://community.element14.com/aggbug?PostID=25245&amp;AppID=396&amp;AppType=Weblog&amp;ContentType=0" width="1" height="1"&gt;</description></item><item><title>RE: Save the Bees - Machine Learning</title><link>https://community.element14.com/challenges-projects/design-challenges/save-the-bees-design-challenge/b/blog/posts/save-the-bees---machine-learning</link><pubDate>Tue, 21 Feb 2023 19:33:05 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:a2637da7-4659-4e7c-ad47-0ab70fe34961</guid><dc:creator>DAB</dc:creator><slash:comments>0</slash:comments><description>&lt;p&gt;Nice update Douglas.&lt;/p&gt;
&lt;p&gt;It will be interesting to see if live images match your training set.&lt;/p&gt;&lt;img src="https://community.element14.com/aggbug?PostID=25245&amp;AppID=396&amp;AppType=Weblog&amp;ContentType=0" width="1" height="1"&gt;</description></item><item><title>RE: Save the Bees - Machine Learning</title><link>https://community.element14.com/challenges-projects/design-challenges/save-the-bees-design-challenge/b/blog/posts/save-the-bees---machine-learning</link><pubDate>Tue, 21 Feb 2023 16:48:40 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:a2637da7-4659-4e7c-ad47-0ab70fe34961</guid><dc:creator>robogary</dc:creator><slash:comments>2</slash:comments><description>&lt;p&gt;Congrats on finding the HuskyLens. I tend to get stuck on trying to reinvent things from scratch. The Huskylens seems to be a big step up from the PixyCam and less expensive. How does it perform real time ?&amp;nbsp;Do you anticipate the same&amp;nbsp;time invested on your part in NiclaVision to load &amp;amp; train the ML&amp;nbsp; as with the HuskyLens ?&amp;nbsp;&amp;nbsp;&lt;/p&gt;&lt;img src="https://community.element14.com/aggbug?PostID=25245&amp;AppID=396&amp;AppType=Weblog&amp;ContentType=0" width="1" height="1"&gt;</description></item></channel></rss>