Flood Detection with Yolo V8 Segmentation | Image Segmentation
This is a video tutorial on using Yolo V8 for image segmentation and flood detection. You will learn how to prepare a dataset of flood images, build and train the Yolo V8 model, and test it on new images to generate segmentation masks highlighting flooded areas. 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 : https://ko-fi.com/s/74a6f749ed
You can find more computer vision tutorials in my blog page : https://eranfeit.net/blog/
You can find more cool Instance segmentation projects and tutorials in this playlist : • Best Image Semantic Segmentation mode...
~~~~~~~~~~~~~~~ recommended courses and books ~~~~~~~~~~~~~~~
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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~~~~~~~~~~~~~~ Chapters ~~~~~~~~~~~~~
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/a...
Stream the music on Spotify: https://open.spotify.com/album/1dVyjw...