Detecting Faces within Images Using the .NET SDK

45 minutes
  • 5 Learning Objectives

About this Hands-on Lab

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!

Learning Objectives

Successfully complete this lab by achieving the following learning objectives:

Log In to the Azure Portal

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

Use RDP to Connect to the Visual Studio Virtual Machine

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

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

Additional Resources

In this hands-on lab, we use a C# application on a Visual Studio virtual machine to detect faces within an image.

The application will report several pieces of information, including the face's location, aprroximate age, and sex.

The solution video demonstrates all the tasks in the objective list to complete the lab. Instructions are also provided in each objective as well as the lab guide.

To begin, log in to the Azure Portal using the credentials provided.

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