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.NET MAUI Projects - Third Edition

You're reading from  .NET MAUI Projects - Third Edition

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781837634910
Pages 630 pages
Edition 3rd Edition
Languages
Authors (3):
Michael Cummings Michael Cummings
Profile icon Michael Cummings
Daniel Hindrikes Daniel Hindrikes
Profile icon Daniel Hindrikes
Johan Karlsson Johan Karlsson
Profile icon Johan Karlsson
View More author details

Table of Contents (18) Chapters

Preface 1. Part 1: Introduction
2. Chapter 1: Introduction to .NET MAUI 3. Chapter 2: Building Our First .NET MAUI App 4. Chapter 3: Converting a Xamarin.Forms App into .NET MAUI 5. Part 2: Basic Projects
6. Chapter 4: Building a News App Using .NET MAUI Shell 7. Chapter 5: A Matchmaking App with a Rich UX Using Animations 8. Chapter 6: Building a Photo Gallery App Using CollectionView and CarouselView 9. Chapter 7: Building a Location Tracking App Using GPS and Maps 10. Chapter 8: Building a Weather App for Multiple Form Factors 11. Part 3: Advanced Projects
12. Chapter 9: Setting Up a Backend for a Game Using Azure Services 13. Chapter 10: Building a Real-Time Game 14. Chapter 11: Building a Calculator Using .NET MAUI Blazor 15. Chapter 12: Hot Dog or Not Hot Dog Using Machine Learning 16. Index 17. Other Books You May Enjoy

Building the Hot Dog or Not Hot Dog application using machine learning

Let’s get started! We will first train a model for image classification that we can use later in the chapter to decide whether a photo contains a hot dog.

Note

If you do not want to go through the effort of training a model, you can download a pre-trained model from the following URL: https://github.com/PacktPublishing/MAUI-Projects-3rd-Edition/tree/main/Chapter12/HotdogOrNot/Resources/Raw.

Training a model

To train a model for image classification, we need to collect photos of hot dogs and photos that aren’t of hot dogs. Because most items in the world are not hot dogs, we need more photos that don’t contain hot dogs. It’s better if the photos of hot dogs cover a lot of different hot dog scenarios – with bread, ketchup, or mustard. This is so that the model will be able to recognize hot dogs in different situations. When we collect photos that aren’t of hot...

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