Acrolinx Fixes

Author: GraemeMalcolm

learn-pr/wwl-data-ai/detect-analyze-recognize-faces/2-understand-capabilities-of-face-service.yml

@@ -3,7 +3,7 @@ uid: learn.wwl.detect-analyze-recognize-faces.understand-capabilities-of-face-se
 title: Plan a face detection, analysis, or recognition solution
 metadata:
   title: Plan a face detection, analysis, or recognition solution
-  description: Understand capabilities of the Face service
+  description: Understand the capabilities of the Face service
   author: wwlpublish
   ms.author: berryivor
   ms.date: 05/03/2025

learn-pr/wwl-data-ai/detect-analyze-recognize-faces/4-compare-match-detected-faces.yml

@@ -3,7 +3,7 @@ uid: learn.wwl.detect-analyze-recognize-faces.compare-match-detected-faces
 title: Verify and identify faces
 metadata:
   title: Verify and identify faces
-  description: CUse facial recognition to verify and identify faces.
+  description: Use facial recognition to verify and identify faces.
   author: wwlpublish
   ms.author: berryivor
   ms.date: 05/03/2025

learn-pr/wwl-data-ai/detect-analyze-recognize-faces/8-exercise-identify-faces.yml

@@ -6,7 +6,7 @@ metadata:
   description: Exercise - Detect, analyze, and identify faces
   author: wwlpublish
   ms.author: berryivor
-  ms.date: 12/13/2024
+  ms.date: 05/03/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot

learn-pr/wwl-data-ai/detect-analyze-recognize-faces/9-knowledge-check.yml

@@ -21,8 +21,8 @@ quiz:
       explanation: "Incorrect. The Image Analysis service enables you to analyze images, but not to identify faces."
     - content: "Azure AI Vision Custom Vision."
       isCorrect: false
-      explanation: "Incorrect. The Custom Vision service enables you to train image classification and object detection models.."
-    - content: "Azure Ai Vision Face."
+      explanation: "Incorrect. The Custom Vision service enables you to train image classification and object detection models."
+    - content: "Azure AI Vision Face."
       isCorrect: true
       explanation: "Correct. Use the Face service to create a facial recognition solution."
   - content: "What should you return when analyzing an image to see the spatial points related to facial features?"
@@ -32,7 +32,7 @@ quiz:
       explanation: "Incorrect. Accessories include facial accessories, like glasses or masks."
     - content: "Landmarks"
       isCorrect: true
-      explanation: "Correct. Facial landmarks consist of sparial points for facial features.."
+      explanation: "Correct. Facial landmarks consist of spatial points for facial features."
     - content: "HeadPose"
       isCorrect: false
       explanation: "Incorrect. HeadPose describes the position of the head in regard to yaw, tilt, and roll."

learn-pr/wwl-data-ai/detect-analyze-recognize-faces/includes/2-understand-capabilities-of-face-service.md

@@ -18,11 +18,11 @@ The Face service provides functionality that you can use for:
 3. *Facial landmark location* - coordinates for key landmarks in relation to facial features (for example, eye corners, pupils, tip of nose, and so on)
 4. *Face comparison* - you can compare faces across multiple images for similarity (to find individuals with similar facial features) and verification (to determine that a face in one image is the same person as a face in another image)
 5. *Facial recognition* - you can train a model with a collection of faces belonging to specific individuals, and use the model to identify those people in new images.
-6. *Facial liveness* - liveness can be used to determine if the input video is a real stream or a fake to prevent bad intentioned individuals from spoofing a facial recognition system.
+6. *Facial liveness* - liveness can be used to determine if the input video is a real stream or a fake to prevent bad-intentioned individuals from spoofing a facial recognition system.
 
 ## Face detection and recognition models
 
 The Azure AI Vision Face API is built on face detection and recognition models that have been pre-trained. Multiple versions of these models are available, each with specific strengths and capabilities. For example, newer models exhibit greater accuracy when working with small images; but may not provide the same breadth of facial analysis capabilities. When you use the service in an application, you must select the model you want to use based on your requirements.
 
 > [!TIP]
-> For guidance about selecting a *detection* model, see **[Specify a face detection model](/azure/ai-services/computer-vision/how-to/specify-detection-model)**. For guiidance about how to select a *recognition* model, see **[Specify a face recognition model](/azure/ai-services/computer-vision/how-to/specify-recognition-model)**.
+> For guidance about selecting a *detection* model, see **[Specify a face detection model](/azure/ai-services/computer-vision/how-to/specify-detection-model)**. For guidance about how to select a *recognition* model, see **[Specify a face recognition model](/azure/ai-services/computer-vision/how-to/specify-recognition-model)**.

learn-pr/wwl-data-ai/detect-analyze-recognize-faces/includes/3-detect-analyze-faces.md

@@ -83,7 +83,7 @@ The response from the service depends on:
 - The model-specific features requested.
 - The number of faces detected in the image.
 
-A response for an image containing a single face might looks similar to the following example:
+A response for an image containing a single face might look similar to the following example:
 
 ```json
 [

learn-pr/wwl-data-ai/detect-analyze-recognize-faces/includes/4-compare-match-detected-faces.md

@@ -1,4 +1,4 @@
-In addition to detecting and analyzing faces, you can use the Azure AI Face APi to compare and recognize faces.
+In addition to detecting and analyzing faces, you can use the Azure AI Vision Face service to compare and recognize faces.
 
 > [!IMPORTANT]
 > Usage of facial recognition, comparison, and verification requires approval through a **[Limited Access policy](https://aka.ms/cog-services-limited-access)**.
@@ -7,7 +7,7 @@ In addition to detecting and analyzing faces, you can use the Azure AI Face APi
 
 When a face is detected by the Face service, a unique ID is assigned to it and retained in the service resource for 24 hours. The ID is a GUID, with no indication of the individual's identity other than their facial features.
 
-While the detected face ID is cached, subsequent images can be used to compare the new faces to the cached identity and determine if they are *similar* (in other words, they share similar facial features) or to *verify* that the same person appears in two images.
+While the detected face ID is cached, subsequent images can be used to compare the new faces to the cached identity and determine if they're *similar* (in other words, they share similar facial features) or to *verify* that the same person appears in two images.
 
 ![Diagram of a detected face matched in two images.](../media/face-matching.png)
 

learn-pr/wwl-data-ai/detect-analyze-recognize-faces/index.yml

@@ -15,10 +15,10 @@ title: Detect, analyze, and recognize faces
 summary: The ability for applications to detect human faces, analyze facial features and emotions, and identify individuals is a key artificial intelligence capability.
 abstract: |
   After completing this module, you'll be able to:
-  - Describe capabilities of the Azure AI Vision Face service.
+  - Describe the capabilities of the Azure AI Vision Face service.
   - Write code to detect and analyze faces in an image.
-  - Decsribe facial recognition support in Azure AI Vision Face.
-  - Describe respinsible AI considerations when developing facial solutions.
+  - Describe facial recognition support in Azure AI Vision Face.
+  - Describe responsible AI considerations when developing facial solutions.
 prerequisites: |
   Before starting this module, you should already have:
   - Familiarity with Azure and the Azure portal.