Select version 2.7.0-preview.1, and then Install. In the package manager that opens select Browse, check Include prerelease, and search for .Face. Once you've created a new project, install the client library by right-clicking on the project solution in the Solution Explorer and selecting Manage NuGet Packages.
You can use the free pricing tier ( F0) to try the service, and upgrade later to a paid tier for production. You'll paste your key and endpoint into the code below later in the quickstart. You will need the key and endpoint from the resource you create to connect your application to the Face API. Once you have your Azure subscription, create a Face resource in the Azure portal to get your key and endpoint. Contact your administrator to get this role assigned to your account. 
Your Azure account must have a Cognitive Services Contributor role assigned in order for you to agree to the responsible AI terms and create a resource. The Visual Studio IDE or current version of. Azure subscription - Create one for free. Reference documentation | Library source code | Package (NuGet) | Samples Prerequisites The Face service provides you with access to advanced algorithms for detecting and recognizing human faces in images. Follow these steps to install the package and try out the example code for basic tasks. Get started with facial recognition using the Face client library for.
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