Multi-Class Semantic Image Segmentation with Keras in Python

Deep Learning-Based Image Segmentation for Computer Vision with Keras and TensorFlow in Google Colab Platform : Hands-on

3.60 (18 reviews)

Udemy

platform

English

language

Data Science

What you will learn

Understand what multi-class image segmentation is in computer vision

Understand the fundamentals of DeepLabv3+ (CNN)

Build and train a the multi-class image segmentation model using Keras with Tensorflow as a backend using Google Colab

Learn to use the trained model to predict the segmented mask of a new set of image data

Why take this course?

Welcome to the "Multi-Class Semantic Image Segmentation with Keras in Python" course. In this project, you will learn to build a multi-class image segmentation deep-learning model in Keras with a TensorFlow backend from scratch. You will learn to train the model using the image dataset and perform multi-class image segmentation. By the end of this course, you could build and train the deep learning multi-class image segmentation model. After that, you will also be able to use the trained model to predict segmented masks on new images and visualise them. Please note that you don't need a high-powered workstation to learn this exciting course. We will carry out the entire project in the Google Colab environment and Google Drive, which is free. You only need an internet connection and a free Gmail account to complete this course. This is a practical course, we will focus on Python programming, and you will understand every part of the program very well. The multi-class image segmentation course applies to many industries, especially the autonomous industry, healthcare, aerial imagery, geo-sensing, precision agriculture, etc. You can add this project to your portfolio, which is essential for your following job interview. This course is designed most straightforwardly to utilise your time wisely.

Happy learning.

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Reviews

Priyadarshi

April 21, 2023

The course is taking a lot of ML knowledge for granted and is not doing a good job of even explaining terms in simple way to people new to ML. In the course description the expectation should be set as to whom this course is intended for.

Khaled

January 13, 2023

it was an explanation for the project not to the Keras or any any concept. moreover it does not even go through the code and explain in more details the objective of the function. in Summary it is a very weak presentation for a code written to do a task no more. I feel sorry for losing the course fees and one hour of my time to have this course

Deepika

December 6, 2022

It was a perfect course about a specific topic I needed to learn. I liked the step-by-step process. The instructor moved into the code after explaining what multi-class image segmentation is. This course saved me weeks of work doing my research. Thank you.

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