Merge pull request #101413 from PatrickFarley/face-name

[cog serv] Face name

Author: American-Dipper

articles/cognitive-services/Bing-Web-Search/quickstarts/csharp.md

@@ -255,9 +255,9 @@ Responses from the Bing Web Search API are returned as JSON. This sample respons
         "snippet": "Knock down barriers between you and your ideas. Enable natural and contextual interaction with tools that augment users' experiences via the power of machine-based AI. Plug them in and bring your ideas to life.",
         "deepLinks": [
           {
-            "name": "Face API",
+            "name": "Face",
             "url": "https://azure.microsoft.com/services/cognitive-services/face/",
-            "snippet": "Add facial recognition to your applications to detect, identify, and verify faces using a Face API from Microsoft Azure. ... Cognitive Services; Face API;"
+            "snippet": "Add facial recognition to your applications to detect, identify, and verify faces using the Face service from Microsoft Azure. ... Cognitive Services; Face service;"
           },
           {
             "name": "Text Analytics",

articles/cognitive-services/Bing-Web-Search/quickstarts/java.md

@@ -209,9 +209,9 @@ Responses from the Bing Web Search API are returned as JSON. This sample respons
         "snippet": "Knock down barriers between you and your ideas. Enable natural and contextual interaction with tools that augment users' experiences via the power of machine-based AI. Plug them in and bring your ideas to life.",
         "deepLinks": [
           {
-            "name": "Face API",
+            "name": "Face",
             "url": "https://azure.microsoft.com/services/cognitive-services/face/",
-            "snippet": "Add facial recognition to your applications to detect, identify, and verify faces using a Face API from Microsoft Azure. ... Cognitive Services; Face API;"
+            "snippet": "Add facial recognition to your applications to detect, identify, and verify faces using a Face service from Microsoft Azure. ... Cognitive Services; Face service;"
           },
           {
             "name": "Text Analytics",

articles/cognitive-services/Bing-Web-Search/quickstarts/nodejs.md

@@ -158,9 +158,9 @@ Responses from the Bing Web Search API are returned as JSON. This sample respons
         "snippet": "Knock down barriers between you and your ideas. Enable natural and contextual interaction with tools that augment users' experiences via the power of machine-based AI. Plug them in and bring your ideas to life.",
         "deepLinks": [
           {
-            "name": "Face API",
+            "name": "Face",
             "url": "https://azure.microsoft.com/services/cognitive-services/face/",
-            "snippet": "Add facial recognition to your applications to detect, identify, and verify faces using a Face API from Microsoft Azure. ... Cognitive Services; Face API;"
+            "snippet": "Add facial recognition to your applications to detect, identify, and verify faces using a Face service from Microsoft Azure. ... Cognitive Services; Face service;"
           },
           {
             "name": "Text Analytics",

articles/cognitive-services/Bing-Web-Search/quickstarts/php.md

@@ -173,9 +173,9 @@ Responses from the Bing Web Search API are returned as JSON. This sample respons
         "snippet": "Knock down barriers between you and your ideas. Enable natural and contextual interaction with tools that augment users' experiences via the power of machine-based AI. Plug them in and bring your ideas to life.",
         "deepLinks": [
           {
-            "name": "Face API",
+            "name": "Face",
             "url": "https://azure.microsoft.com/services/cognitive-services/face/",
-            "snippet": "Add facial recognition to your applications to detect, identify, and verify faces using a Face API from Microsoft Azure. ... Cognitive Services; Face API;"
+            "snippet": "Add facial recognition to your applications to detect, identify, and verify faces using the Face service from Microsoft Azure. ... Cognitive Services; Face service;"
           },
           {
             "name": "Text Analytics",

articles/cognitive-services/Bing-Web-Search/quickstarts/ruby.md

@@ -153,9 +153,9 @@ Responses from the Bing Web Search API are returned as JSON. This sample respons
         "snippet": "Knock down barriers between you and your ideas. Enable natural and contextual interaction with tools that augment users' experiences via the power of machine-based AI. Plug them in and bring your ideas to life.",
         "deepLinks": [
           {
-            "name": "Face API",
+            "name": "Face",
             "url": "https://azure.microsoft.com/services/cognitive-services/face/",
-            "snippet": "Add facial recognition to your applications to detect, identify, and verify faces using a Face API from Microsoft Azure. ... Cognitive Services; Face API;"
+            "snippet": "Add facial recognition to your applications to detect, identify, and verify faces using the Face service from Microsoft Azure. ... Cognitive Services; Face service;"
           },
           {
             "name": "Text Analytics",

articles/cognitive-services/Computer-vision/Tutorials/CSharpTutorial.md

@@ -308,4 +308,4 @@ When no longer needed, delete the folder into which you cloned the `Microsoft/Co
 ## Next steps
 
 > [!div class="nextstepaction"]
-> [Get started with Face API](../../Face/Tutorials/FaceAPIinCSharpTutorial.md)
+> [Get started with Face service](../../Face/Tutorials/FaceAPIinCSharpTutorial.md)

articles/cognitive-services/Computer-vision/Vision-API-How-to-Topics/HowtoAnalyzeVideo_Vision.md

@@ -144,7 +144,7 @@ The library contains the `FrameGrabber` class, which implements the previously d
 
 To illustrate some of the possibilities, we've provided two sample apps that use the library. 
 
-The first sample app is a simple console app that grabs frames from the default webcam and then submits them to the Face API for face detection. A simplified version of the app is reproduced in the following code:
+The first sample app is a simple console app that grabs frames from the default webcam and then submits them to the Face service for face detection. A simplified version of the app is reproduced in the following code:
 
 ```csharp
 using System;
@@ -165,7 +165,7 @@ namespace BasicConsoleSample
             // Create grabber.
             FrameGrabber<DetectedFace[]> grabber = new FrameGrabber<DetectedFace[]>();
 
-            // Create Face API Client.
+            // Create Face Client.
             FaceClient faceClient = new FaceClient(new ApiKeyServiceClientCredentials(ApiKey))
             {
                 Endpoint = Endpoint
@@ -181,7 +181,7 @@ namespace BasicConsoleSample
             grabber.AnalysisFunction = async frame =>
             {
                 Console.WriteLine($"Submitting frame acquired at {frame.Metadata.Timestamp}");
-                // Encode image and submit to Face API.
+                // Encode image and submit to Face service.
                 return (await faceClient.Face.DetectWithStreamAsync(frame.Image.ToMemoryStream(".jpg"))).ToArray();
             };
 
@@ -226,13 +226,13 @@ By using this approach, you can visualize the detected face immediately. You can
 
 To get started with this sample, do the following:
 
-1. Get API keys for the Vision APIs from [Subscriptions](https://azure.microsoft.com/try/cognitive-services/). For video frame analysis, the applicable APIs are:
-    - [The Computer Vision API](https://docs.microsoft.com/azure/cognitive-services/computer-vision/home)
-    - [The Face API](https://docs.microsoft.com/azure/cognitive-services/face/overview)
+1. Get API keys for the Vision APIs from [Subscriptions](https://azure.microsoft.com/try/cognitive-services/). For video frame analysis, the applicable services are:
+    - [Computer Vision](https://docs.microsoft.com/azure/cognitive-services/computer-vision/home)
+    - [Face](https://docs.microsoft.com/azure/cognitive-services/face/overview)
 2. Clone the [Cognitive-Samples-VideoFrameAnalysis](https://github.com/Microsoft/Cognitive-Samples-VideoFrameAnalysis/) GitHub repo.
 
 3. Open the sample in Visual Studio 2015 or later, and then build and run the sample applications:
-    - For BasicConsoleSample, the Face API key is hard-coded directly in [BasicConsoleSample/Program.cs](https://github.com/Microsoft/Cognitive-Samples-VideoFrameAnalysis/blob/master/Windows/BasicConsoleSample/Program.cs).
+    - For BasicConsoleSample, the Face key is hard-coded directly in [BasicConsoleSample/Program.cs](https://github.com/Microsoft/Cognitive-Samples-VideoFrameAnalysis/blob/master/Windows/BasicConsoleSample/Program.cs).
     - For LiveCameraSample, enter the keys in the **Settings** pane of the app. The keys are persisted across sessions as user data.
 
 When you're ready to integrate the samples, reference the VideoFrameAnalyzer library from your own projects.
@@ -241,7 +241,7 @@ The image-, voice-, video-, and text-understanding capabilities of VideoFrameAna
 
 ## Summary
 
-In this article, you learned how to run near real-time analysis on live video streams by using the Face API and the Computer Vision API. You also learned how you can use our sample code to get started. To get started building your app by using free API keys, go to the [Azure Cognitive Services sign-up page](https://azure.microsoft.com/try/cognitive-services/).
+In this article, you learned how to run near real-time analysis on live video streams by using the Face and Computer Vision services. You also learned how you can use our sample code to get started. To get started building your app by using free API keys, go to the [Azure Cognitive Services sign-up page](https://azure.microsoft.com/try/cognitive-services/).
 
 Feel free to provide feedback and suggestions in the [GitHub repository](https://github.com/Microsoft/Cognitive-Samples-VideoFrameAnalysis/). To provide broader API feedback, go to our [UserVoice site](https://cognitive.uservoice.com/).
 

articles/cognitive-services/Content-Moderator/Review-Tool-User-Guide/Configure.md

@@ -87,14 +87,14 @@ You can delete custom tags by selecting the trash icon next to their entries on
 
 The **Connectors** tab lets you manage your connectors, which are service-specific plugins that can process content in different ways as part of content [workflows](../review-api.md#workflows).
 
-The default connector when you create a workflow is the Content Moderator connector, which can mark content as **adult** or **racy**, find profanity, and so on. However, you can use other connectors, listed here, as long as you have credentials for their respective services (to use the Face API connector, for example, you will need to get a [Face API](https://docs.microsoft.com/azure/cognitive-services/face/overview) subscription key).
+The default connector when you create a workflow is the Content Moderator connector, which can mark content as **adult** or **racy**, find profanity, and so on. However, you can use other connectors, listed here, as long as you have credentials for their respective services (to use the Face connector, for example, you will need to get a [Face](https://docs.microsoft.com/azure/cognitive-services/face/overview) subscription key).
 
 The [Review tool](./human-in-the-loop.md) includes the following connectors:
 
-- Emotion API
-- Face API
+- Emotion
+- Face
 - PhotoDNA Cloud Service
-- Text Analytics API
+- Text Analytics
 
 ### Add a connector
 

articles/cognitive-services/Content-Moderator/Review-Tool-User-Guide/human-in-the-loop.md

@@ -28,7 +28,7 @@ The [Review tool](https://contentmoderator.cognitive.microsoft.com), when used i
 - Automate the creation of human [reviews](../review-api.md#reviews) when moderation API results come in.
 - Assign or escalate content reviews to multiple review teams, organized by content category or experience level.
 - Use default or custom logic filters ([workflows](../review-api.md#workflows)) to sort and track content, without writing any code.
-- Use [connectors](./configure.md#connectors) to process content with Microsoft PhotoDNA, Text Analytics, and Face APIs in addition to the Content Moderator APIs.
+- Use [connectors](./configure.md#connectors) to process content with Microsoft PhotoDNA, Text Analytics, and Face services in addition to the Content Moderator APIs.
 - Build your own connector to create workflows for any API or business process.
 - Get key performance metrics on your content moderation processes.
 

articles/cognitive-services/Face/APIReference.md

@@ -1,5 +1,5 @@
 ---
-title: API Reference - Face API
+title: API Reference - Face
 titleSuffix: Azure Cognitive Services
 description: API reference provides information about the Person, LargePersonGroup/PersonGroup, LargeFaceList/FaceList, and Face Algorithms APIs.
 services: cognitive-services
@@ -13,9 +13,9 @@ ms.date: 03/01/2018
 ms.author: sbowles
 ---
 
-# Face API Reference List
+# Face API reference list
 
-The Azure Face API is a cloud-based API that provides algorithms for face detection and recognition. The Face APIs comprise the following categories:
+Azure Face is a cloud-based service that provides algorithms for face detection and recognition. The Face APIs comprise the following categories:
 
 - Face Algorithm APIs: Cover core functions such as [Detection](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236), [Find Similar](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395237), [Verification](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523a), [Identification](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395239), and [Group](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395238).
 - [FaceList APIs](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039524b): Used to manage a FaceList for [Find Similar](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395237).