Computer Vision for Football Instance Segmentation with Yolov8 | Multi class image segmentation

This is a video tutorial on using Yolo V8 for image segmentation and Football analysis . You will learn how to prepare a dataset of soccer / football images , build and train the Yolo V8 model, and test it on new images to generate segmentation masks highlighting soccer classes . The video covers the entire process with Yolo V8, from data collection and preprocessing to model architecture, training, and evaluation.

You can download the code here : XXXXXXXXXXXXXXXX

You can find more cool Instance segmentation projects and tutorials in this playlist : https://www.youtube.com/playlist?list=PLdkryDe59y4Y24C9LW1AjffKmgGUyaInz

A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V 
I also recommend this book, https://amzn.to/44GnlLW : "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners ".
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00:00 Introduction 
00:23 Installation 
02:23 Discovery and Data preparation
12:53 Train the model
18:00 Test the model
~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~ 
Music by Vincent Rubinetti 
Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown 
Stream the music on Spotify: https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u
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https://www.youtube.com/watch?v=iXaq4OXNwSs