Merge pull request #277457 from PatrickFarley/comvis-updates

Comvis updates

Author: v-dirichards

articles/ai-services/computer-vision/concept-background-removal.md

@@ -10,7 +10,6 @@ ms.service: azure-ai-vision
 ms.topic: conceptual
 ms.date: 01/19/2024
 ms.author: pafarley
-ms.custom: references_regions
 ---
 
 # Background removal (version 4.0 preview)
@@ -27,7 +26,7 @@ This feature provides two possible outputs based on the customer's needs:
 - An alpha matte that shows the opacity of the detected foreground object. This matte can be used to separate the foreground object from the background for further processing.
 
 > [!IMPORTANT]
-> Background removal is only available in the following Azure regions: East US, France Central, Korea Central, North Europe, Southeast Asia, West Europe, West US.
+> Background removal is only available in certain Azure regions. See [Region availability](./overview-image-analysis.md#region-availability). 
 
 ## Background removal examples
 

articles/ai-services/computer-vision/concept-describe-images-40.md

@@ -10,7 +10,6 @@ ms.service: azure-ai-vision
 ms.topic: conceptual
 ms.date: 01/19/2024
 ms.author: pafarley
-ms.custom: references_regions
 ---
 
 # Image captions (version 4.0)
@@ -21,7 +20,7 @@ Caption generates a one-sentence description for all image contents. Dense Capti
 At this time, image captioning is available in English only.
 
 > [!IMPORTANT]
-> Image captioning in Image Analysis 4.0 is only available in the following Azure data center regions: East US, France Central, Korea Central, North Europe, Southeast Asia, West Europe, West US, East Asia. You must use a Vision resource located in one of these regions to get results from Caption and Dense Captions features.
+> Image captioning in Image Analysis 4.0 is only available in certain Azure data center regions: see [Region availability](./overview-image-analysis.md#region-availability). You must use a Vision resource located in one of these regions to get results from Caption and Dense Captions features.
 >
 > If you have to use a Vision resource outside these regions to generate image captions, please use [Image Analysis 3.2](concept-describing-images.md) which is available in all Azure AI Vision regions.  
 

articles/ai-services/computer-vision/concept-shelf-analysis.md

@@ -10,7 +10,7 @@ ms.service: azure-ai-vision
 ms.topic: conceptual
 ms.date: 02/14/2024
 ms.author: pafarley
-ms.custom: references_regions, build-2023, build-2023-dataai
+ms.custom: build-2023, build-2023-dataai
 ---
 
 # Product Recognition (version 4.0 preview)
@@ -172,7 +172,7 @@ It returns a JSON response that accounts for each position in the planogram docu
 
 ## Limitations
 
-* Product Recognition is only available in the **East US** and **West US 2** Azure regions.
+* Product Recognition is only available in certain [Azure regions](./overview-image-analysis.md#region-availability).
 * Shelf images can be up to 20 MB in size. The recommended size is 4 MB.
 * We recommend you do [stitching and rectification](./how-to/shelf-modify-images.md) on the shelf images before uploading them for analysis.
 * Using a [custom model](./how-to/shelf-model-customization.md) is optional in Product Recognition, but it's required for the [planogram matching](./how-to/shelf-planogram.md) function.

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

@@ -29,7 +29,7 @@ sections:
       - question: |
           The service is throwing an error because my image file is too large. How can I work around this?
         answer: |
-          The file size limit for most Azure AI Vision features is 4 MB for the 3.2 version of the API and 20MB for the 4.0 version, and the client library SDKs can handle files up to 6 MB. For more information, see the [Image Analysis input limits](overview-image-analysis.md#image-requirements).
+          The file size limit for most Azure AI Vision features is 4 MB for the 3.2 version of the API and 20MB for the 4.0 version, and the client library SDKs can handle files up to 6 MB. For more information, see the [Image Analysis input limits](overview-image-analysis.md#input-requirements).
 
       - question: |
           Can I send multiple images in a single API call to the Azure AI Vision service?

articles/ai-services/computer-vision/how-to/background-removal.md

@@ -9,7 +9,6 @@ ms.author: pafarley
 ms.service: azure-ai-vision
 ms.topic: how-to
 ms.date: 01/19/2024
-ms.custom: references_regions
 ---
 
 # Remove the background in images
@@ -29,7 +28,7 @@ This guide assumes you have successfully followed the steps mentioned in the [qu
 The [quickstart](../quickstarts-sdk/image-analysis-client-library-40.md) shows you how to extract visual features from an image. However, the concepts are similar to background removal. Therefore you benefit from starting with the quickstart and making modifications.
 
 > [!IMPORTANT]
-> Background removal is only available in the following Azure regions: East US, France Central, Korea Central, North Europe, Southeast Asia, West Europe, West US.
+> Background removal is only available in certain Azure regions. See [Region availability](./../overview-image-analysis.md#region-availability)
 
 ## Authenticate against the service
 

articles/ai-services/computer-vision/how-to/call-analyze-image-40.md

@@ -9,7 +9,7 @@ ms.author: pafarley
 ms.service: azure-ai-vision
 ms.topic: how-to
 ms.date: 06/01/2024
-ms.custom: references_regions, devx-track-python, devx-track-extended-java, devx-track-js
+ms.custom:  devx-track-python, devx-track-extended-java, devx-track-js
 zone_pivot_groups: programming-languages-computer-vision
 ---
 

articles/ai-services/computer-vision/how-to/identity-access-token.md

@@ -159,7 +159,7 @@ static void Main(string[] args)
     // create Face client object
     var faceClient = new FaceClient(new LimitedAccessTokenWithApiKeyClientCredential(apiKey: "<client-face-key>", limitedAccessToken: "<token>")); 
 
-    faceClient.Endpoint = "https://willtest-eastus2.cognitiveservices.azure.com"; 
+    faceClient.Endpoint = "https://mytest-eastus2.cognitiveservices.azure.com"; 
 
     // use Face client in an API call
     using (var stream = File.OpenRead("photo.jpg")) 

articles/ai-services/computer-vision/how-to/image-retrieval.md

@@ -10,7 +10,6 @@ ms.service: azure-ai-vision
 ms.topic: how-to
 ms.date: 02/20/2024
 ms.author: pafarley
-ms.custom: references_regions
 ---
 
 # Do image retrieval using multimodal embeddings (version 4.0)
@@ -20,12 +19,12 @@ The Multimodal embeddings APIs enable the _vectorization_ of images and text que
 The `2024-02-01` API includes a multi-lingual model that supports text search in 102 languages. The original English-only model is still available, but it cannot be combined with the new model in the same search index. If you vectorized text and images using the English-only model, these vectors won’t be compatible with multi-lingual text and image vectors.
 
 > [!IMPORTANT]
-> These APIs are only available in the following geographic regions: SwedenCentral, EastUS, NorthEurope, WestEurope,WestUS, SoutheastAsia, KoreaCentral, FranceCentral, AustraliaEast, WestUS2, SwitzerlandNorth, JapanEast.
+> These APIs are only available in certain geographic regions. See [Region availability](../overview-image-analysis.md#region-availability).
 
 ## Prerequisites
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
-* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision"  title="Create a Computer Vision resource"  target="_blank">create a Computer Vision resource </a> in the Azure portal to get your key and endpoint. Be sure to create it in one of the permitted geographic regions: SwedenCentral, EastUS, NorthEurope, WestEurope,WestUS, SoutheastAsia, KoreaCentral, FranceCentral, AustraliaEast, WestUS2, SwitzerlandNorth, JapanEast.
+* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision"  title="Create a Computer Vision resource"  target="_blank">create a Computer Vision resource </a> in the Azure portal to get your key and endpoint. Be sure to create it in one of the supported geographic regions: see [Region availability](../overview-image-analysis.md#region-availability).
    * After it deploys, select **Go to resource**. Copy the key and endpoint to a temporary location to use later on.
 
 ## Try out Multimodal embeddings

articles/ai-services/computer-vision/how-to/shelf-analyze.md

@@ -8,7 +8,7 @@ ms.service: azure-ai-vision
 ms.topic: how-to
 ms.date: 02/14/2024
 ms.author: pafarley
-ms.custom: references_regions, build-2023, build-2023-dataai
+ms.custom: build-2023, build-2023-dataai
 ---
 
 # Shelf Product Recognition (preview): Analyze shelf images using pretrained model
@@ -22,7 +22,7 @@ The fastest way to start using Product Recognition is to use the built-in pretra
 
 ## Prerequisites
 * An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/) 
-* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision"  title="create a Vision resource"  target="_blank">create a Vision resource</a> in the Azure portal. It must be deployed in the **East US** or **West US 2** region. After it deploys, select **Go to resource**.
+* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision"  title="create a Vision resource"  target="_blank">create a Vision resource</a> in the Azure portal. It must be deployed in a supported Azure region (see [Region availability](./../overview-image-analysis.md#region-availability)). After it deploys, select **Go to resource**.
   * You'll need the key and endpoint from the resource you create to connect your application to the Azure AI Vision service. You'll paste your key and endpoint into the code below later in the guide.
 * An Azure Storage resource with a blob storage container. [Create one](/azure/storage/common/storage-account-create?tabs=azure-portal)
 * [cURL](https://curl.haxx.se/) installed. Or, you can use a different REST platform, like Swagger or the [REST Client](https://marketplace.visualstudio.com/items?itemName=humao.rest-client) extension for VS Code.

articles/ai-services/computer-vision/how-to/shelf-modify-images.md

@@ -8,7 +8,7 @@ ms.service: azure-ai-vision
 ms.topic: how-to
 ms.date: 06/01/2024
 ms.author: pafarley
-ms.custom: references_regions, build-2023
+ms.custom: build-2023
 ---
 
 # Shelf image composition (preview)
@@ -21,7 +21,7 @@ This guide also shows you how to use the **Rectification API** to correct for pe
 
 ## Prerequisites
 * An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/) 
-* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision"  title="create a Vision resource"  target="_blank">create a Vision resource</a> in the Azure portal. It must be deployed in the **East US** or **West US 2** region. After it deploys, select **Go to resource**.
+* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision"  title="create a Vision resource"  target="_blank">create a Vision resource</a> in the Azure portal. It must be deployed in a supported Azure region (see [Region availability](./../overview-image-analysis.md#region-availability)). After it deploys, select **Go to resource**.
   * You'll need the key and endpoint from the resource you create to connect your application to the Azure AI Vision service. You'll paste your key and endpoint into the code below later in the quickstart.
 * An Azure Storage resource with a blob storage container. [Create one](/azure/storage/common/storage-account-create?tabs=azure-portal)
 * [cURL](https://curl.haxx.se/) installed. Or, you can use a different REST platform, like Swagger or the [REST Client](https://marketplace.visualstudio.com/items?itemName=humao.rest-client) extension for VS Code.