<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ultralytics on Noureddine RAMDI</title><link>https://ramdi.fr/tags/ultralytics/</link><description>Recent content in Ultralytics on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/ultralytics/index.xml" rel="self" type="application/rss+xml"/><item><title>Hands-on with YOLOv5: A practical deep dive into Ultralytics' PyTorch vision model</title><link>https://ramdi.fr/github-stars/hands-on-with-yolov5-a-practical-deep-dive-into-ultralytics-pytorch-vision-model/</link><pubDate>Sun, 26 Apr 2026 09:31:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/hands-on-with-yolov5-a-practical-deep-dive-into-ultralytics-pytorch-vision-model/</guid><description>YOLOv5 by Ultralytics offers an accessible, fast, and accurate PyTorch-based computer vision toolkit for object detection, segmentation, and classification. Explore its architecture, strengths, and quickstart usage.</description></item></channel></rss>