Implementing Image Recognition in .NET With Microsoft.Extensions.AI

Get the source code for this video for FREE → https://the-dotnet-weekly.kit.com/meai-images Want to master Clean Architecture? Go here: https://bit.ly/3PupkOJ Want to unlock Modular Monoliths? Go here: https://bit.ly/3SXlzSt Join a community of 1000+ .NET developers: https://www.patreon.com/milanjovanovic Dive into the powerful world of AI vision processing with .NET in this comprehensive tutorial on leveraging Microsoft.Extensions.AI for image recognition tasks. This video walks you through the complete workflow of integrating Ollama with your .NET applications to process visual data using local LLMs, eliminating the need for costly cloud API calls while maintaining privacy and control over your data. You'll learn how to set up the development environment, implement basic image recognition functionality with just a few lines of code, and optimize your implementation for better performance and accuracy. We'll cover common challenges developers face when working with vision models, practical strategies for handling different image formats and resolutions, and advanced techniques to enhance recognition capabilities. Whether you're building a traffic analysis system, a content moderation tool, or any application that needs to "see" and understand images, this tutorial provides the knowledge and code samples you need to successfully implement vision AI capabilities in your .NET projects. Working with LLMs in .NET using Microsoft.Extensions.AI https://www.milanjovanovic.tech/blog/working-with-llms-in-dotnet-using-microsoft-extensions-ai Check out my courses: https://www.milanjovanovic.tech/courses Read my Blog here: https://www.milanjovanovic.tech/blog Join my weekly .NET newsletter: https://www.milanjovanovic.tech Chapters 0:00 Setting up Microsoft.Extensions.AI 1:36 Choosing an LLM 2:39 Simple image recognition 5:07 Complicated image recognition 6:12 Structured AI responses