<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>yolo on Poeticoding</title><link>https://www.poeticoding.com/tag/yolo/</link><description>Recent content in yolo on Poeticoding</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 20 Jul 2025 15:06:39 +0000</lastBuildDate><atom:link href="https://www.poeticoding.com/tag/yolo/index.xml" rel="self" type="application/rss+xml"/><item><title>Fine-Tuning YOLO to Watch Soccer Matches</title><link>https://www.poeticoding.com/fine-tuning-yolo-to-watch-soccer-matches/</link><pubDate>Thu, 17 Jul 2025 15:14:24 +0000</pubDate><guid>https://www.poeticoding.com/fine-tuning-yolo-to-watch-soccer-matches/</guid><description>&lt;div class="video">&lt;iframe src="https://www.youtube-nocookie.com/embed/m7nO5jtpc_w" title="YouTube video" loading="lazy" allow="accelerometer; encrypted-media; gyroscope; picture-in-picture" allowfullscreen referrerpolicy="strict-origin-when-cross-origin">&lt;/iframe>&lt;/div>

&lt;p>Today we&amp;rsquo;re diving into something really cool: fine-tuning YOLO models for soccer detection. We&amp;rsquo;re going to detect &lt;code>ball&lt;/code>s, &lt;code>referee&lt;/code>s, &lt;code>player&lt;/code>s, and &lt;code>goalkeeper&lt;/code>s in soccer matches using &lt;a href="https://docs.ultralytics.com/modes/train/" target="_blank" rel="noopener">Ultralytics&amp;rsquo; fine-tuning tools&lt;/a>.&lt;/p>
&lt;p>The popular YOLO models you&amp;rsquo;ll find out there, like &lt;a href="https://docs.ultralytics.com/models/yolo11/" target="_blank" rel="noopener">Ultralytics YOLOv11&lt;/a>, and &lt;a href="https://github.com/Megvii-BaseDetection/YOLOX" target="_blank" rel="noopener">YOLOX&lt;/a> in different sizes, are mostly pre-trained on something called the &lt;a href="https://cocodataset.org/" target="_blank" rel="noopener">COCO dataset&lt;/a>.&lt;/p></description></item><item><title>Real-time Object Detection with Phoenix and Python</title><link>https://www.poeticoding.com/real-time-object-detection-with-phoenix-and-python/</link><pubDate>Thu, 16 Jan 2020 18:43:14 +0000</pubDate><guid>https://www.poeticoding.com/real-time-object-detection-with-phoenix-and-python/</guid><description>&lt;p>This article is not just about Machine Learning and Object Detection, it&amp;rsquo;s about Elixir interoperability and how we can take advantage of the Python&amp;rsquo;s fantastic set of ML libraries, bringing their features into the Elixir world.&lt;/p>
&lt;p>We see how to bring &lt;a href="https://pjreddie.com/darknet/yolo/" target="_blank" rel="noopener">YOLO&lt;/a>, a state-of-the-art real-time object detection system, in a Phoenix web app.&lt;/p></description></item></channel></rss>