DEMO: Consuming and Exporting a Custom Vision Model

Intermediate
5m
434
4.6/5

This lesson explores the Azure Custom Vision service and how you can use it to create and customize vision recognition solutions. You'll get some background info on what the service is before looking at the various steps for creating image classification and object detection models, uploading and tagging images, and then training and deploying your models.

Learning Objectives

  • Use the Custom Vision portal to create new Vision models
  • Create both Classification and Object Detection models
  • Upload and tag images according to your requirements
  • Train and deploy the configured models

Intended Audience

  • Developers or architects who want to learn how to use Azure Custom Vision to tailor a vision recognition solution to their needs

Prerequisites

To get the most out of this lesson, you should have:

  • Basic Azure experience, at least with topics such as subscriptions and resource groups
  • Basic knowledge of Azure Cognitive Services, especially vision-related services
  • Some developer experience, including familiarity with terms such as REST API and SDK
About the Author
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Emilio Melo has been involved in IT projects in over 15 countries, with roles ranging across support, consultancy, teaching, project and department management, and sales—mostly focused on Microsoft software. After 15 years of on-premises experience in infrastructure, data, and collaboration, he became fascinated by Cloud technologies and the incredible transformation potential it brings. His passion outside work is to travel and discover the wonderful things this world has to offer.

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