Lab
A Cloud Guru

Classifying Images with Azure Custom Vision

In this hands-on lab, you are working as an AI Engineer for All Aboard, a travel agency. You’ve been asked to classify images as either from the Golden Gate Bridge or the Statue of Liberty at the request of your customers. You’ll use the Azure Custom Vision portal to upload pre-provided images, label them as either the Golden Gate Bridge or the Statue of Liberty, and then train and test your model.

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Path Info

Level

Beginner

Duration

30m

Published

Dec 16, 2021

Challenge

Log In to the Azure Portal and the Custom Vision Portal

Log in to the Azure portal using the credentials provided on the lab page. Be sure to use an incognito or private browser window to ensure you're using the lab account rather than your own. Then, log in to the Custom Vision portal using the Azure portal credentials.
Challenge

Download the Images from the GitHub Repo

Download the Landmarks.zip file from the GitHub repository to your computer and extract the files locally.
Challenge

Create a Classification Project and Train the Model

In the Custom Vision portal, create a Classification project with the classification type of Multiclass (Single tag per image) and the domain of Landmarks. Upload and tag the images of the Golden Gate Bridge and the Statue of Liberty from the Training Images folder, and then train the model. Make sure to select Quick Training when training the model!
Challenge

Test It!

Use the Quick Test feature to upload images from the Testing Images folder and test if each landmark gets the correct label applied to it.

Author

A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.