Add minor edits

Author: cdpark

articles/ai-services/cognitive-services-limited-access.md

@@ -69,7 +69,7 @@ Managed customers work with Microsoft account teams. We invite you to submit a r
 
 Existing customers have until June 30, 2023 to submit a registration form and be approved to continue using Limited Access services after June 30, 2023. Allow 10 business days for review. Without an approved application, you will be denied access after June 30, 2023.  
 
-### I'm an existing customer who applied for access to Custom Neural Voice or Speaker Recognition, do I have to register to keep using these services?
+### I'm an existing customer who applied for access to Custom Neural Voice or Speaker Recognition. Do I have to register to keep using these services?
 
 We're always looking for opportunities to improve our Responsible AI program, and Limited Access is an update to our service gating processes. If you previously applied for and were granted access to Custom Neural Voice or Speaker Recognition, we request that you submit a new registration form to continue using these services beyond June 30, 2023. 
 

articles/ai-services/computer-vision/concept-face-detection.md

@@ -24,19 +24,19 @@ ms.author: pafarley
 
 This article explains the concepts of face detection and face attribute data. Face detection is the process of locating human faces in an image and optionally returning different kinds of face-related data.
 
-You use the [Detect] API to detect faces in an image. To get started using the REST API or a client SDK, follow a [quickstart](./quickstarts-sdk/identity-client-library.md). Or, for a more in-depth guide, see [Call the detect API](./how-to/identity-detect-faces.md).
+You use the [Detect] API to detect faces in an image. To get started using the REST API or a client SDK, follow a [Face service quickstart](./quickstarts-sdk/identity-client-library.md). Or, for a more in-depth guide, see [Call the detect API](./how-to/identity-detect-faces.md).
 
 ## Face rectangle
 
 Each detected face corresponds to a *faceRectangle* field in the response. This is a set of pixel coordinates for the left, top, width, and height of the detected face. Using these coordinates, you can get the location and size of the face. In the API response, faces are listed in size order from largest to smallest.
 
-Try out the capabilities of face detection quickly and easily using Azure AI Vision Studio.
+Try out the capabilities of face detection quickly and easily by using the Azure AI Vision Studio.
 > [!div class="nextstepaction"]
 > [Try Vision Studio](https://portal.vision.cognitive.azure.com/)
 
 ## Face ID
 
-The face ID is a unique identifier string for each detected face in an image. Face ID requires limited access approval, which you can apply for by filling out the [intake form](https://aka.ms/facerecognition). For more information, see the Face API [limited access page](/legal/cognitive-services/computer-vision/limited-access-identity?context=%2Fazure%2Fcognitive-services%2Fcomputer-vision%2Fcontext%2Fcontext). You can request a face ID in your [Detect] API call.
+The face ID is a unique identifier string for each detected face in an image. Face ID requires limited access approval, which you can apply for by filling out the [intake form](https://aka.ms/facerecognition). For more information, see the Face API [Limited Access page](/legal/cognitive-services/computer-vision/limited-access-identity?context=%2Fazure%2Fcognitive-services%2Fcomputer-vision%2Fcontext%2Fcontext). You can request a face ID in your [Detect] API call.
 
 ## Face landmarks
 
@@ -92,8 +92,8 @@ To properly display the face rectangle and landmarks, you need to make sure the
 If you're detecting faces from a video feed, you might be able to improve performance by adjusting certain settings on your video camera:
 
 * **Smoothing**: Many video cameras apply a smoothing effect. You should turn this off if you can because it creates a blur between frames and reduces clarity.
-* **Shutter Speed**: A faster shutter speed reduces the amount of motion between frames and makes each frame clearer. We recommend shutter speeds of 1/60 second or faster.
-* **Shutter Angle**: Some cameras specify shutter angle instead of shutter speed. You should use a lower shutter angle, if possible, which results in clearer video frames.
+* **Shutter speed**: A faster shutter speed reduces the amount of motion between frames and makes each frame clearer. We recommend shutter speeds of 1/60 second or faster.
+* **Shutter angle**: Some cameras specify shutter angle instead of shutter speed. You should use a lower shutter angle, if possible, which results in clearer video frames.
 
     >[!NOTE]
     > A camera sensor with a lower shutter angle receives less light in each frame, so the image is darker. You need to determine the right level to use.

articles/ai-services/computer-vision/concept-object-detection.md

@@ -18,7 +18,7 @@ This article explains the concept of object detection. Object detection is simil
 
 The object detection function applies tags based on the objects or living things identified in the image. There's no formal relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the object detection function only finds objects and living things, while the tag function can also include contextual terms like *indoor*, which can't be localized with bounding boxes.
 
-Try out the capabilities of object detection quickly and easily in your browser using Azure AI Vision Studio.
+Try out the capabilities of object detection quickly and easily in your browser by using the Azure AI Vision Studio.
 
 > [!div class="nextstepaction"]
 > [Try Vision Studio](https://portal.vision.cognitive.azure.com/)

articles/ai-services/computer-vision/how-to/call-read-api.md

@@ -16,7 +16,7 @@ ms.author: pafarley
 
 This guide shows you how to call the v3.2 GA Read API to extract text from images. You'll learn the different ways you can configure the behavior of this API to meet your needs.
 
-This following steps assume that you've already [created a computer vision resource](https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision) and obtained a key and endpoint URL. If you haven't, see the [quickstart](../quickstarts-sdk/client-library.md) to get started.
+This following steps assume that you've already created a [Computer Vision resource](https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision) and obtained a key and endpoint URL. If you haven't, see the [quickstart](../quickstarts-sdk/client-library.md) to get started.
 
 [!INCLUDE [read-editions](../includes/read-editions.md)]
 

articles/ai-services/computer-vision/how-to/model-customization.md

@@ -12,7 +12,7 @@ ms.author: pafarley
 ms.custom: devx-track-python
 ---
 
-# Create a custom Image Analysis model (preview)
+# Create a custom Image Analysis model
 
 [!INCLUDE [model-customization-deprecation](../includes/model-customization-deprecation.md)]
 

articles/ai-services/computer-vision/intro-to-spatial-analysis-public-preview.md

@@ -20,7 +20,7 @@ Video Analysis includes video-related features like Spatial Analysis and Video R
 
 You can use Azure AI Vision Spatial Analysis to detect the presence and movements of people in video. Ingest video streams from cameras, extract insights, and generate events to be used by other systems. The service can do things like count the number of people entering a space or measure compliance with face mask and social distancing guidelines. By processing video streams from physical spaces, you can learn how people use them and maximize the space's value to your organization.
 
-Try out the capabilities of Spatial Analysis quickly and easily in your browser using Vision Studio.
+Try out the capabilities of Spatial Analysis quickly and easily in your browser by using the Azure AI Vision Studio.
 
 > [!div class="nextstepaction"]
 > [Try Vision Studio](https://portal.vision.cognitive.azure.com/)

articles/ai-services/computer-vision/toc.yml

@@ -154,7 +154,7 @@ items:
         href: how-to/call-analyze-image-40.md
       - name: Model customization
         items:
-        - name: Create a custom model (preview)
+        - name: Create a custom model
           href: how-to/model-customization.md
         - name: Verify a custom model COCO file (preview)
           href: how-to/coco-verification.md