Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

EfficientNetB0 for Water Mask Segmentation - Tutorial

Eran Feit via YouTube

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
This 42-minute tutorial demonstrates how to achieve exceptional accuracy in water segmentation from satellite imagery using EfficientNetB0. Learn to build a U-Net architecture with EfficientNetB0 as the backbone, create an efficient data preprocessing pipeline, train the model on a water segmentation dataset, and perform inference on both single and multiple test images. The tutorial is structured in clear chapters, beginning with an introduction and demo, followed by installation instructions, model building, data preparation, training, and inference techniques. Access the complete code through the provided Ko-fi link, and explore additional computer vision and image segmentation tutorials on the creator's blog and YouTube playlists. Perfect for computer vision enthusiasts looking to implement advanced segmentation techniques with state-of-the-art accuracy.

Syllabus

00:00 Introduction and Demo
02:38 Installation
08:14 Build the Efficientnetb0 U-net model
13:28 Prepare the data
24:28 Build the model + training
27:27 Run inference on single image
34:29 Run inference on multiple test images

Taught by

Eran Feit

Reviews

Start your review of EfficientNetB0 for Water Mask Segmentation - Tutorial

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.