PR review fixes

Author: PatrickFarley

articles/cognitive-services/Computer-vision/includes/identity-studio-quickstart.md

@@ -27,4 +27,13 @@ Use Vision Studio to identify a face. This is a streamlined version of the face
 1. Next, you'll name the **person** and upload the images of their face. Then select **Enroll face** and wait for the model to finish training.
 1. Finally, upload another image in the bottom pane, and the service will determine whether it belongs to the **person** it was trained for.
 1. See the **Detected attributes** pane for the match results and confidence scores.
-1. Below the try-it-out experience are next steps to start using this capability in your own application.
+1. Below the try-it-out experience are next steps to start using this capability in your own application.
+
+## Next steps
+
+In this quickstart, you learned how to use Vision Studio to do a basic facial recognition task. Next, learn about the different face detection models and how to specify the right model for your use case.
+
+> [!div class="nextstepaction"]
+> [Specify a face detection model version](../how-to/specify-detection-model.md)
+
+* [What is the Face service?](../overview-identity.md)

articles/cognitive-services/Computer-vision/includes/image-analysis-studio-quickstart.md

@@ -23,4 +23,13 @@ ms.author: pafarley
 1. To use the try-it-out experience, you will need to choose a resource and acknowledge it will incur usage according to your [pricing tier](https://azure.microsoft.com/pricing/details/cognitive-services/computer-vision/).
 1. Select an image from the available set, or upload your own.
 1. After you select your image, you'll see the detected tags appear in the output window along with their confidence scores. You can also select the **JSON** tab to see the JSON output that the API call returns. 
-1. Below the try-it-out experience are next steps to start using this capability in your own application.
+1. Below the try-it-out experience are next steps to start using this capability in your own application.
+
+## Next steps
+
+In this quickstart, you used Vision Studio to do a basic image analysis task. Next, learn more about the Analyze API features.
+
+> [!div class="nextstepaction"]
+> [Call the Analyze API](../how-to/call-analyze-image.md)
+
+* [Image Analysis overview](../overview-image-analysis.md)

articles/cognitive-services/Computer-vision/includes/ocr-studio-quickstart.md

@@ -23,4 +23,13 @@ ms.author: pafarley
 1. To use the try-it-out experience, you'll need to choose a resource and acknowledge it will incur usage according to your [pricing tier](https://azure.microsoft.com/pricing/details/cognitive-services/computer-vision/).
 1. Select an image from the available set, or upload your own.
 1. After you select your image, you'll see the extracted text appear in the output window. You can also select the **JSON** tab to see the JSON output that the API call returns.
-1. Below the try-it-out experience are next steps to start using this capability in your own application.
+1. Below the try-it-out experience are next steps to start using this capability in your own application.
+
+## Next steps
+
+In this quickstart, you used Vision Studio to access the Read API. Next, learn more about the Read API features.
+
+> [!div class="nextstepaction"]
+> [Call the Read API](../how-to/call-read-api.md)
+
+* [OCR overview](../overview-ocr.md)

articles/cognitive-services/Computer-vision/overview-vision-studio.md

@@ -26,20 +26,19 @@ To use Vision Studio, you'll need an Azure subscription and a resource for Cogni
 1. Create an Azure Subscription if you don't have one already. You can [create one for free](https://azure.microsoft.com/free/ai/).
 
 1. Go to the [Vision Studio website](https://vision.cognitive.azure.com/). If it's your first time logging in, you'll see a popup window appear that prompts you to sign in to Azure and then choose or create a Vision resource. You have the option to skip this step and do it later.
-
-![Vision studio startup wizard](./Images/vision-studio-wizard-1.png)
+    :::image type="content" source="./Images/vision-studio-wizard-1.png" alt-text="Screenshot of Vision Studio startup wizard.":::
 
 1.	Select **Choose resource**, then select an existing resource within your subscription. If you'd like to create a new one, select **Create a new resource**. Then enter information for your new resource, such as a name, location, and resource group. 
 
-    :::image type="content" source="./Images/vision-studio-wizard-2.png" alt-text="Resource selection panel":::
+    :::image type="content" source="./Images/vision-studio-wizard-2.png" alt-text="Screenshot of Vision Studio resource selection panel.":::
 
     > [!TIP]
     > * When you select a location for your Azure resource, choose one that's closest to you for lower latency.
     > * If you use the free pricing tier, you can keep using the Vision service even after your Azure free trial or service credit expires.
 
 1.	Select **Create resource**. Your resource will be created, and you'll be able to try the different features offered by Vision Studio.
 
-    :::image type="content" source="./Images/vision-studio-home-page.png" alt-text="Vision Studio home page":::
+    :::image type="content" source="./Images/vision-studio-home-page.png" alt-text="Screenshot of Vision Studio home page.":::
 
 1. From here, you can select any of the different features offered by Vision Studio. Some of them are outlined in the service quickstarts:
    * [OCR quickstart](quickstarts-sdk/client-library.md?pivots=vision-studio)

articles/cognitive-services/Computer-vision/overview.md

@@ -33,7 +33,7 @@ Computer Vision can power many digital asset management (DAM) scenarios. DAM is
 
 ## Getting started
 
-Use [Vision studio](https://vision.cognitive.azure.com/) to try out Computer Vision features quickly in your web browser.
+Use [Vision Studio](https://vision.cognitive.azure.com/) to try out Computer Vision features quickly in your web browser.
 
 To get started building Computer Vision into your app, follow a quickstart.
 * [Quickstart: Optical character recognition (OCR)](quickstarts-sdk/client-library.md)

articles/cognitive-services/Computer-vision/quickstarts-sdk/identity-client-library.md

@@ -1,7 +1,7 @@
 ---
 title: 'Quickstart: Use the Face service'
 titleSuffix: Azure Cognitive Services
-description: The Face API offers client libraries that makes it easy to detect, find similar, identify, verify and more.
+description: The Face API offers client libraries that make it easy to detect, find similar, identify, verify and more.
 services: cognitive-services
 author: PatrickFarley
 manager: nitinme

articles/cognitive-services/Computer-vision/whats-new.md

@@ -57,9 +57,9 @@ See the [OCR how-to guide](how-to/call-read-api.md#determine-how-to-process-the-
 
 ## June 2022
 
-### Vision studio launch
+### Vision Studio launch
 
-Vision studio is UI tool that lets you explore, build, and integrate features from Azure Cognitive Services for Vision into your applications.
+Vision Studio is UI tool that lets you explore, build, and integrate features from Azure Cognitive Services for Vision into your applications.
 
 Language Studio provides you with a platform to try several service features, and see what they return in a visual manner. It also provides you with an easy-to-use experience to create custom projects and models to work on your data. Using the Studio, you can get started without needing to write code, and then use the available client libraries and REST APIs in your application.
 
@@ -151,7 +151,7 @@ See the [Read API how-to guide](how-to/call-read-api.md) to learn more.
 
 
 ### New Face API detection model
-* The new Detection 03 model is the most accurate detection model currently available. If you're a new a customer, we recommend using this model. Detection 03 improves both recall and precision on smaller faces found within images (64x64 pixels). Additional improvements include an overall reduction in false positives and improved detection on rotated face orientations. Combining Detection 03 with the new Recognition 04 model will provide improved recognition accuracy as well. See [Specify a face detection model](./how-to/specify-detection-model.md) for more details.
+* The new Detection 03 model is the most accurate detection model currently available. If you're a new customer, we recommend using this model. Detection 03 improves both recall and precision on smaller faces found within images (64x64 pixels). Additional improvements include an overall reduction in false positives and improved detection on rotated face orientations. Combining Detection 03 with the new Recognition 04 model will provide improved recognition accuracy as well. See [Specify a face detection model](./how-to/specify-detection-model.md) for more details.
 ### New detectable Face attributes
 * The `faceMask` attribute is available with the latest Detection 03 model, along with the additional attribute `"noseAndMouthCovered"` which detects whether the face mask is worn as intended, covering both the nose and mouth. To use the latest mask detection capability, users need to specify the detection model in the API request: assign the model version with the _detectionModel_ parameter to `detection_03`. See [Specify a face detection model](./how-to/specify-detection-model.md) for more details.
 ### New Face API Recognition Model