Microsoft.Azure.CognitiveServices.Vision.Face 2.4.0-preview Prefix Reserved

This is a prerelease version of Microsoft.Azure.CognitiveServices.Vision.Face.
There is a newer prerelease version of this package available.
See the version list below for details.
Install-Package Microsoft.Azure.CognitiveServices.Vision.Face -Version 2.4.0-preview
dotnet add package Microsoft.Azure.CognitiveServices.Vision.Face --version 2.4.0-preview
<PackageReference Include="Microsoft.Azure.CognitiveServices.Vision.Face" Version="2.4.0-preview" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.Azure.CognitiveServices.Vision.Face --version 2.4.0-preview
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.Azure.CognitiveServices.Vision.Face, 2.4.0-preview"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install Microsoft.Azure.CognitiveServices.Vision.Face as a Cake Addin
#addin nuget:?package=Microsoft.Azure.CognitiveServices.Vision.Face&version=2.4.0-preview&prerelease

// Install Microsoft.Azure.CognitiveServices.Vision.Face as a Cake Tool
#tool nuget:?package=Microsoft.Azure.CognitiveServices.Vision.Face&version=2.4.0-preview&prerelease
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

This client library provides access to the Microsoft Cognitive Services Face APIs.

NuGet packages (9)

Showing the top 5 NuGet packages that depend on Microsoft.Azure.CognitiveServices.Vision.Face:

Package Downloads
PTI.Microservices.Library

Cloud Services library designed to be consumed in Microservices

O10.Client.Common

Package Description

PTI.Microservices.Library.Models

Models Library designed for PTI.Microservices.Library and to allow consumers to use models in their own custom code.

softaware.FaceIdentification.CognitiveServices

Library for managing and identifying people with the Microsoft Azure Cognitive Service Face API.

O10.Client.Web.Common

Package Description

GitHub repositories (5)

Showing the top 5 popular GitHub repositories that depend on Microsoft.Azure.CognitiveServices.Vision.Face:

Repository Stars
microsoft/Cognitive-Samples-IntelligentKiosk
Welcome to the Intelligent Kiosk Sample! Here you will find several demos showcasing workflows and experiences built on top of the Microsoft Cognitive Services.
microsoft/psi
Platform for Situated Intelligence
microsoft/Cognitive-Samples-VideoFrameAnalysis
A library with sample apps for continuous analysis of live video, using the Microsoft Cognitive Services Vision APIs.
Webreaper/Damselfly
Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection, and face-recognition.
microsoft/Windows-appsample-familynotes
Universal Windows Platform (UWP) sample app that shows usage of speech, Cortana, ink, and camera through a family note sharing scenario.
Version Downloads Last updated
2.8.0-preview.1 4,994 7/21/2021
2.7.0-preview.1 9,558 3/31/2021
2.6.0-preview.1 32,402 8/13/2020
2.5.0-preview.2 6,319 7/7/2020
2.5.0-preview.1 64,158 7/19/2019
2.4.0-preview 51,721 3/28/2019
2.3.0-preview 13,506 1/30/2019
2.2.0-preview 61,885 8/3/2018
2.0.0-preview 3,636 7/9/2018
1.1.0-preview 575 7/2/2018
1.0.2-preview 4,469 1/25/2018

1) The API client name was changed from FaceAPI to FaceClient, in keeping with other Azure SDKs.
   2) Supported customizing service endpoints by assigning the endpoint string to FaceClient.Endpoint. The endpoint string can be found on Azure Portal, it should contain only protocol and hostname, for example: https://westus.api.cognitive.microsoft.com/. This change ensures better global coverage.
   3) Aligned with latest Face API, Million-Scale features (LargePersonGroup and LargeFaceList) were added.
   4) Some inconsistencies in naming, parameter order were corrected.
   5) Aligned with latest Face API, Snapshot features for data migration were added.
   6) Aligned with latest Face API, multiple recognition model feature was added.