Lab
A Cloud Guru

Object Detection with Azure Custom Vision

In this hands-on lab, you are working as an AI Engineer for The Root, a chain of supermarket stores. You’ve been asked to perform object detection of some vegetables so the company can sort out their inventory. You’ll use the Azure Custom Vision portal to upload pre-provided images, label the individual objects as either bell peppers or carrots, and then train and test your model.

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Path Info

Level

Beginner

Duration

45m

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

Create an Object Detection Project and Train the Model

In the Custom Vision portal, create an Object Detection project with the domain of General (A1). Upload and tag the images of bell peppers and carrots 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 the vegetables are detected correctly in each image.

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.