cusvis freshness pt 2

Author: PatrickFarley

articles/ai-services/custom-vision-service/encrypt-data-at-rest.md

@@ -1,13 +1,13 @@
 ---
 title: Custom Vision encryption of data at rest
 titleSuffix: Azure AI services
-description: Microsoft offers Microsoft-managed encryption keys, and also lets you manage your Azure AI services subscriptions with your own keys, called customer-managed keys (CMK). This article covers data encryption at rest for Custom Vision, and how to enable and manage CMK. 
+description: Learn how to enable and manage customer-managed keys (CMK) for data encryption at rest in Azure AI Custom Vision.
 author: erindormier
 manager: venkyv
 
 ms.service: azure-ai-custom-vision
 ms.topic: conceptual
-ms.date: 03/07/2024
+ms.date: 01/29/2025
 ms.author: egeaney
 ms.custom: cogserv-non-critical-vision
 #Customer intent: As a user of the Face service, I want to learn how encryption at rest works.
@@ -24,7 +24,8 @@ Azure AI Custom Vision automatically encrypts your data when persisting it to th
 
 [!INCLUDE [cognitive-services-cmk](../includes/configure-customer-managed-keys.md)]
 
-## Next steps
+## Related content
+
 
 * For a full list of services that support CMK, see [Customer-Managed Keys for Azure AI services](../encryption/cognitive-services-encryption-keys-portal.md)
 * [What is Azure Key Vault](/azure/key-vault/general/overview)?

articles/ai-services/custom-vision-service/export-delete-data.md

@@ -5,10 +5,11 @@ description: You maintain full control over your data. This article explains how
 #services: cognitive-services
 author: PatrickFarley
 manager: nitinme
+#customer intent: As a user, I want to view, export, or delete my data in the Custom Vision Service so that I can maintain control over my data.
 
 ms.service: azure-ai-custom-vision
 ms.topic: how-to
-ms.date: 02/27/2024
+ms.date: 01/29/2025
 ms.author: pafarley
 ms.custom: cogserv-non-critical-vision
 ---

articles/ai-services/custom-vision-service/export-model-python.md

@@ -5,36 +5,35 @@ description: Run a TensorFlow model in Python. This article only applies to mode
 #services: cognitive-services
 author: PatrickFarley
 manager: nitinme
+#customer intent: As a developer, I want to run a TensorFlow model in Python so that I can classify images locally.
 
 ms.service: azure-ai-custom-vision
 ms.topic: how-to
-ms.date: 01/22/2024
+ms.date: 01/29/2025
 ms.author: pafarley
 ms.devlang: python
 ms.custom: devx-track-python
 ---
 
-# Tutorial: Run a TensorFlow model in Python
+# Run a TensorFlow model in Python
 
-This tutorial shows you how to use an [exported TensorFlow model](./export-your-model.md) locally to classify images.
+This guide shows you how to use an [exported TensorFlow model](./export-your-model.md) locally to classify images.
 
 > [!NOTE]
-> This tutorial applies only to models exported from "General (compact)" image classification projects. If you exported other models, please visit our [sample code repository](https://github.com/Azure-Samples/customvision-export-samples).
+> This guide only applies to models exported from "General (compact)" image classification projects. If you exported other models, please visit our [sample code repository](https://github.com/Azure-Samples/customvision-export-samples).
 
 ## Prerequisites
 
 - Install either Python 2.7+ or Python 3.6+.
 - Install pip.
-
-Next, you'll need to install the following packages:
-
-```bash
-pip install tensorflow
-pip install pillow
-pip install numpy
-pip install opencv-python
-```
-
+- Then install the following packages:
+    ```bash
+    pip install tensorflow
+    pip install pillow
+    pip install numpy
+    pip install opencv-python
+    ```
+    
 ## Load your model and tags
 
 The downloaded _.zip_ file from the export step contains a _model.pb_ and a _labels.txt_ file. These files represent the trained model and the classification labels. The first step is to load the model into your project. Add the following code to a new Python script.
@@ -198,7 +197,7 @@ The results of running the image tensor through the model will then need to be m
         label_index += 1
 ```
 
-## Next steps
+## Related content
 
 Next, learn how to wrap your model into a mobile application:
 * [Use your exported Tensorflow model in an Android application](https://github.com/Azure-Samples/cognitive-services-android-customvision-sample)

articles/ai-services/custom-vision-service/export-programmatically.md

@@ -1,14 +1,15 @@
 ---
 title: "Export a model programmatically"
 titleSuffix: Azure AI services
-description: Use the Custom Vision client library to export a trained model.
+description: Learn how to use the Custom Vision client library to export a trained model programmatically, enabling automation of model retraining and updates.
 #services: cognitive-services
+#customer intent: As a developer, I want to export a trained model programmatically so that I can automate the process of retraining and updating the model.
 author: PatrickFarley
 manager: nitinme
 
 ms.service: azure-ai-custom-vision
 ms.topic: how-to
-ms.date: 01/22/2024
+ms.date: 01/29/2025
 ms.author: pafarley
 ms.devlang: python
 ---
@@ -84,7 +85,7 @@ if export.status == "Done":
         file.write(export_file.content)
 ```
 
-## Next steps
+## Related content
 
 Integrate your exported model into an application by exploring one of the following articles or samples:
 

articles/ai-services/custom-vision-service/logo-detector-mobile.md

@@ -7,22 +7,24 @@ author: PatrickFarley
 manager: nitinme
 ms.service: azure-ai-custom-vision
 ms.topic: tutorial
-ms.date: 06/01/2024
+ms.date: 01/29/2025
 ms.author: pafarley
 ms.devlang: csharp
 ms.custom: devx-track-csharp
+#customer intent: As a developer, I want to use Custom Vision to recognize Azure service logos so that I can automate service deployment.
+
 ---
 
 # Tutorial: Recognize Azure service logos in camera pictures
 
-In this tutorial, explore a sample app that uses Custom Vision as part of a larger scenario. The AI Visual Provision app, a Xamarin.Forms application for mobile platforms, analyzes photos of Azure service logos and then deploys those services to the user's Azure account. Here you'll learn how it uses Custom Vision in coordination with other components to deliver a useful end-to-end application. You can run the whole app scenario for yourself, or you can complete only the Custom Vision part of the setup and explore how the app uses it.
+In this tutorial, you'll explore a sample app that uses Custom Vision as part of a larger scenario. The AI Visual Provision app, a Xamarin.Forms application for mobile platforms, analyzes photos of Azure service logos and then deploys those services to the user's Azure account. Here you'll learn how it uses Custom Vision in coordination with other components to deliver a useful end-to-end application. You can run the whole app scenario for yourself, or you can complete only the Custom Vision part of the setup and explore how the app uses it.
 
 This tutorial shows you how to:
 
 > [!div class="checklist"]
-> - Create a custom object detector to recognize Azure service logos.
-> - Connect your app to Azure AI Vision and Custom Vision.
-> - Create an Azure service principal account to deploy Azure services from the app.
+> * Create a custom object detector to recognize Azure service logos.
+> * Connect your app to Azure AI Vision and Custom Vision.
+> * Create an Azure service principal account to deploy Azure services from the app.
 
 If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/cognitive-services/) before you begin. 
 
@@ -170,7 +172,7 @@ If you've followed all of the steps of this scenario and used the app to deploy
 
 If you plan to create your own object detection project with Custom Vision, you might want to delete the logo detection project you created in this tutorial. A free subscription for Custom Vision allows for only two projects. To delete the logo detection project, on the [Custom Vision website](https://customvision.ai), open **Projects** and then select the trash icon under **My New Project**.
 
-## Next steps
+## Next step
 
 In this tutorial, you set up and explored a full-featured Xamarin.Forms app that uses the Custom Vision service to detect logos in mobile camera images. Next, learn the best practices for building a Custom Vision model so that when you create one for your own app, you can make it powerful and accurate.
 

articles/ai-services/custom-vision-service/role-based-access-control.md

@@ -6,8 +6,9 @@ author: PatrickFarley
 manager: nitinme
 ms.service: azure-ai-custom-vision
 ms.topic: how-to
-ms.date: 01/22/2024
+ms.date: 01/29/2025
 ms.author: pafarley
+#customer intent: As a user, I want to configure Azure role-based access control for Custom Vision projects so that I can manage individual access to Azure resources.
 ---
 
 # Azure role-based access control
@@ -40,9 +41,9 @@ Use this table to determine access needs for your Custom Vision resources.
 |`Cognitive Services Custom Vision Deployment`     | Ability to publish, unpublish, or export the models. Deployers can view projects but can't update a project, training images, or tags.        |
 |`Cognitive Services Custom Vision Reader`     | Ability to view projects. Readers can't make any changes.        |
 
-## Next steps
+## Next step
 
 Follow a quickstart to get started creating and training a Custom Vision project.
 
-* [Build a classifier](getting-started-build-a-classifier.md)
-* [Build an object detector](get-started-build-detector.md)
+> [!div class="nextstepaction"]
+> [Build a classifier](getting-started-build-a-classifier.md)

articles/ai-services/custom-vision-service/storage-integration.md

@@ -6,9 +6,11 @@ author: PatrickFarley
 manager: nitinme
 ms.service: azure-ai-custom-vision
 ms.topic: how-to
-ms.date: 02/27/2024
+ms.date: 01/29/2025
 ms.author: pafarley
 ms.custom: cogserv-non-critical-vision
+#customer intent: As a developer, I want to integrate Azure storage with Custom Vision so that I can receive notifications and back up models.
+
 ---
 
 # Integrate Azure storage for notifications and backup
@@ -204,8 +206,9 @@ Also, you'll receive a notification in your queue when the export finishes.
 
 The `"exportStatus"` field may be either `"ExportCompleted"` or `"ExportFailed"`. The `"modelUri"` field will contain the URL of the backup model stored in your container, assuming you integrated queue notifications in the beginning. If you didn't, the `"modelUri"` field will show the SAS URL for your Custom Vision model blob.
 
-## Next steps
+## Next step
 
 In this guide, you learned how to copy and back up a project between Custom Vision resources. Next, explore the API reference docs to see what else you can do with Custom Vision.
-* [REST API reference documentation (training)](/rest/api/customvision/train-project)
-* [REST API reference documentation (prediction)](/rest/api/customvision/predictions)
+
+> [!div class="nextstepaction"]
+> [REST API reference documentation (training)](/rest/api/customvision/train-project)