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In this tutorial, we will be covering how to run YOLOv8 on Windows 11. YOLOv8 is one of the most popular object detection algorithms used in the field of AI and machine learning. It is based on deep learning techniques, which enable it to accurately recognize and detect objects in images. This tutorial is designed to be a step-by-step guide, making it easy for beginners to understand and follow.
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Starting with an introduction to YOLOv8 and its capabilities, we will then move on to installing the necessary tools and libraries. From there, we will dive into the implementation process and demonstrate how to run YOLOv8 on Windows 11. The tutorial covers everything from setting up the environment to the actual detection process.
This tutorial is ideal for those who are interested in learning about object detection, AI, and machine learning, or for those who want to get started with YOLOv8 and take their skills to the next level. Whether you're a beginner or have some prior knowledge, this tutorial will provide you with the necessary information and guidance to start using YOLOv8 on Windows 11. We use the AS-One Library which allows you to access any version of YOLO, like YOLOv7,v6,v5,R,X and beyond.
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