Automated Mask Generation using Segment Anything

The Segment Anything Model (SAM) is a powerful tool for automated mask generation, enabling users to effortlessly segment and extract objects from images through its advanced instance segmentation capabilities.

Image segmentation tasks can be streamlined with Segment Anything, a cutting-edge model that generates accurate masks for any object or region within an image, facilitating efficient object extraction and analysis.

In this tutorial we will cover a simple way to segment masks out of an image automatically.

We will install the relevant Python libraries , and write the Python script for this task .

You can download the code here : https://ko-fi.com/s/5612d8bb7a

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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