Step-by-step Guide To Creating Yolov8 From Scratch!

0:00 Yolov8 architecture 3:07 Backbone 44:12 Neck 1:00:14 Head In this video, we'll go through the exciting process of building the YOLOv8 detection model from scratch. YOLOv8, like many advanced models, is composed of three key components: backbone, neck, and head. We'll explore the creation of each of these components step by step. To wrap up the video, we'll demonstrate how to overfit the model on a single batch of the COCO dataset, offering valuable insights into its performance. If you found this video helpful, please give it a 👍! Your support means a lot and helps me create more content. As always, feel free to share your thoughts in the comments below. Source code: https://github.com/dtdo90/yolov8_detection --------------------------------------------------------------------------------------------------------------------------------------------- 📞 Connect with Me: 👉 LinkedIn: https://www.linkedin.com/in/tai-do-9463002b7/ 🤖 Github: https://github.com/dtdo90