Lab
A Cloud Guru

Detecting Faces within Images Using the .NET SDK

In this hands-on lab, we use Visual Studio and C# to access an already-created Azure Cognitive Service resource and have it identify a face withing an image. All the code is already written. We simply need to configure the service endpoint and key, then run the code to perform the analysis. Feel free to try more images!

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Path Info

Level

Intermediate

Duration

45m

Published

Dec 06, 2019

Challenge

Log In to the Azure Portal

Start by logging in to the Azure Portal using the credentials given when starting the lab.
Challenge

Use RDP to Connect to the Visual Studio Virtual Machine

Use the Remote Desktop client to access the virtual machine using the provided credentials
Challenge

Open and Configure Visual Studio
1. Open Visual Studio using either the Start menu or the desktop icon.
2. Use the credentials used to log in to the Azure Portal, not those used for the RDP authorization.
3. Select the defaults for all other Visual Studio options. Be patient as this takes a few minutes to complete.
Challenge

Open the Visual Studio Solution
1. Open the solution in the c:\code directory.
Challenge

Configure the Endpoint and Key, Then Run the App
1. Retrieve the endpoint and key for the Cognitive Service resource and place them in the code.
2. Run the solution and examine the results.

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.