Awesome Instance Segmentation | Photo Segmentation on Custom Dataset using Detectron2

Deep learning instance segmentation with detectron2 can enable awesome instance segmentation results for photo segmentation on your custom dataset. segmentation detectron2 is a powerful tool for achieving best panoptic segmentation model performance on image segmentation projects.

In this tutorial we will learn how to build a Detectron2 model based on your own custom dataset .

We will learn to train it on Windows and Linux , and code the inference Python code for testing the model on fresh images

You can download the code here : https://ko-fi.com/s/2119cfd494

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 
00:21 Annotate the images & image discovery
09:45 Train the model on Windows (CPU)
22:35 Train the model on Ubuntu (GPU)
25:49 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=JbEy4Eefy0Y