In this video, we’ll explore the fascinating world of fire detection using YOLOv8. YOLOv8 is a state-of-the-art object detection algorithm that has proven to be incredibly effective in detecting and localizing objects in real-time video streams. By training YOLOv8 on fire images, we can create a custom fire detection model that can detect and alert us to fires in our homes, businesses, and communities. In this tutorial, we’ll walk you through the process of preparing your data, training your model, and testing its accuracy. Whether you’re a beginner or an experienced data scientist, this video is a must-watch for anyone interested in fire detection and object detection using YOLOv8. Join us as we explore this exciting field and discover how you can use YOLOv8 to help keep yourself and others safe from the dangers of fire.

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Link to YOLOv8 in the IDE:https://youtu.be/jV1yvnmRxGA

Link to code:https://github.com/Tech-Watt/YOUTUBE-TUTORIAL-CODES

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