Merge pull request #3104 from PatrickFarley/freshness-pass

Freshness pass

Author: JillGrant615

articles/ai-services/computer-vision/computer-vision-resource-container-config.md

@@ -7,7 +7,7 @@ author: aahill
 manager: nitinme
 ms.service: azure-ai-vision
 ms.topic: how-to
-ms.date: 01/19/2024
+ms.date: 02/21/2025
 ms.collection: "ce-skilling-fresh-tier2, ce-skilling-ai-copilot"
 ms.author: aahi
 ---
@@ -58,7 +58,7 @@ The `Billing` setting specifies the endpoint URI of the _Azure AI services_ reso
 
 This setting can be found in the following place:
 
-* Azure portal: **Azure AI services** Overview, labeled `Endpoint`
+* Azure portal: **Azure AI services** Overview; labeled `Endpoint`
 
 Remember to add the `vision/<version>` routing to the endpoint URI as shown in the following table. 
 
@@ -97,7 +97,7 @@ The exact syntax of the host mount location varies depending on the host operati
 
 ## Example docker commands
 
-The following examples use the configuration settings to illustrate how to write and use `docker run` commands.  Once running, the container continues to run until you [stop](computer-vision-how-to-install-containers.md#stop-the-container) it.
+The following examples use the configuration settings to illustrate how to write and use `docker run` commands. Once running, the container continues to run until you [stop](computer-vision-how-to-install-containers.md#stop-the-container) it.
 
 * **Line-continuation character**: The Docker commands in the following sections use the back slash, `\`, as a line continuation character. Replace or remove this based on your host operating system's requirements. 
 * **Argument order**: Do not change the order of the arguments unless you're familiar with Docker containers.
@@ -112,7 +112,8 @@ Replace {_argument_name_} with your own values:
 [!INCLUDE [subdomains-note](../includes/cognitive-services-custom-subdomains-note.md)]
 
 > [!IMPORTANT]
-> The `Eula`, `Billing`, and `ApiKey` options must be specified to run the container; otherwise, the container won't start.  For more information, see [Billing](computer-vision-how-to-install-containers.md#billing).
+> The `Eula`, `Billing`, and `ApiKey` options must be specified to run the container; otherwise, the container won't start. For more information, see [Billing](computer-vision-how-to-install-containers.md#billing).
+>
 > The ApiKey value is the **Key** from the Vision resource keys page.
 
 ## Container Docker examples
@@ -170,6 +171,7 @@ Logging:Console:LogLevel:Default=Information
 
 ---
 
-## Next steps
+## Next step
 
-* Review [How to install and run containers](computer-vision-how-to-install-containers.md).
+> [div class="nextstepaction"]
+> Review [How to install and run containers](computer-vision-how-to-install-containers.md).

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

@@ -8,7 +8,7 @@ manager: nitinme
 
 ms.service: azure-ai-vision
 ms.topic: conceptual
-ms.date: 01/19/2024
+ms.date: 02/21/2025
 ms.collection: "ce-skilling-fresh-tier2, ce-skilling-ai-copilot"
 ms.author: pafarley
 ---
@@ -56,6 +56,7 @@ It's important to note the limitations of background removal:
 
 The background removal feature is available through the [Segment](/rest/api/computervision/image-analysis/segment?view=rest-computervision-2023-02-01-preview&tabs=HTTP) API (`imageanalysis:segment`). See the [Background removal how-to guide](./how-to/background-removal.md) for more information.
 
-## Next steps
+## Next step
 
-* [Call the background removal API](./how-to/background-removal.md)
+> [!div class="nextstepaction"]
+> [Call the background removal API](./how-to/background-removal.md)

articles/ai-services/computer-vision/concept-categorizing-images.md

@@ -8,14 +8,14 @@ manager: nitinme
 
 ms.service: azure-ai-vision
 ms.topic: conceptual
-ms.date: 01/19/2024
+ms.date: 02/21/2025
 ms.collection: "ce-skilling-fresh-tier2, ce-skilling-ai-copilot"
 ms.author: pafarley
 ---
 
 # Image categorization
 
-In addition to tags and a description, Image Analysis 3.2 can return the taxonomy-based categories detected in an image. Unlike tags, categories are organized in a parent/child hierarchy, and there are fewer of them (86, as opposed to thousands of tags). All category names are in English. Categorization can be done by itself or alongside the newer tags model.
+In addition to tags and a description, Image Analysis 3.2 can return the taxonomy-based categories detected in an image. Unlike tags, categories are organized in a parent/child hierarchy, and there are fewer of them (86, as opposed to thousands of tags). All category names are in English. Categorization can be done by itself or in the same API call as the newer tags model.
 
 ## The 86-category taxonomy
 
@@ -61,6 +61,6 @@ The categorization feature is part of the [Analyze Image 3.2](/rest/api/computer
 
 * [Quickstart: Vision REST API or client libraries](./quickstarts-sdk/image-analysis-client-library.md?pivots=programming-language-csharp)
 
-## Next steps
+## Related content
 
 Learn the related concepts of [tagging images](concept-tagging-images.md) and [describing images](concept-describing-images.md).

articles/ai-services/computer-vision/concept-detecting-color-schemes.md

@@ -8,17 +8,24 @@ manager: nitinme
 
 ms.service: azure-ai-vision
 ms.topic: conceptual
-ms.date: 01/19/2024
+ms.date: 02/21/2025
 ms.collection: "ce-skilling-fresh-tier2, ce-skilling-ai-copilot"
 ms.author: pafarley
 ---
 
 # Color scheme detection
 
-Azure AI Vision analyzes the colors in an image to provide three different attributes: the dominant foreground color, the dominant background color, and the larger set of dominant colors in the image. The set of possible returned colors is: black, blue, brown, gray, green, orange, pink, purple, red, teal, white, and yellow.
+Azure AI Vision can analyze the colors in an image and return various attributes that describe those colors. 
 
+## Dominant colors
+The service returns three different attributes: the dominant foreground color, the dominant background color, and the larger set of dominant colors in the image.
+
+The set of possible returned color values is: black, blue, brown, gray, green, orange, pink, purple, red, teal, white, and yellow.
+
+## Accent color
 Azure AI Vision also extracts an accent color, which represents the most vibrant color in the image, based on a combination of the dominant color set and saturation. The accent color is returned as a hexadecimal HTML color code (for example, `00CC00`).
 
+## Black and white detection
 Azure AI Vision also returns a boolean value indicating whether the image is a black-and-white image.
 
 ## Color scheme detection examples

articles/ai-services/computer-vision/concept-detecting-domain-content.md

@@ -8,7 +8,7 @@ manager: nitinme
 
 ms.service: azure-ai-vision
 ms.topic: conceptual
-ms.date: 01/19/2024
+ms.date: 02/21/2025
 ms.collection: "ce-skilling-fresh-tier2, ce-skilling-ai-copilot"
 ms.author: pafarley
 ---

articles/ai-services/computer-vision/concept-detecting-image-types.md

@@ -8,7 +8,7 @@ manager: nitinme
 
 ms.service: azure-ai-vision
 ms.topic: conceptual
-ms.date: 01/19/2024
+ms.date: 02/21/2025
 ms.collection: "ce-skilling-fresh-tier2, ce-skilling-ai-copilot"
 ms.author: pafarley
 ---
@@ -112,4 +112,7 @@ The following JSON responses illustrates what Azure AI Vision returns when indic
 
 The image type detection feature is part of the [Analyze Image 3.2 API](/rest/api/computervision/analyze-image/analyze-image?view=rest-computervision-v3.2&tabs=HTTP). You can call this API through a native SDK or through REST calls. Include `ImageType` in the **visualFeatures** query parameter. Then, when you get the full JSON response, simply parse the string for the contents of the `"imageType"` section.
 
-* [Quickstart: Vision REST API or client libraries](./quickstarts-sdk/image-analysis-client-library.md?pivots=programming-language-csharp)
+## Next step
+
+> [!div class="nextstepaction"]
+> [Quickstart: Vision REST API or client libraries](./quickstarts-sdk/image-analysis-client-library.md?pivots=programming-language-csharp)

articles/ai-services/computer-vision/concept-generate-thumbnails-40.md

@@ -8,7 +8,7 @@ manager: nitinme
 
 ms.service: azure-ai-vision
 ms.topic: conceptual
-ms.date: 01/19/2024
+ms.date: 02/21/2025
 ms.collection: "ce-skilling-fresh-tier2, ce-skilling-ai-copilot"
 ms.author: pafarley
 ---
@@ -38,6 +38,7 @@ The generated bounding box can vary widely depending on what you specify for asp
 
 The smart cropping feature is available through the [Analyze Image 4.0 API](https://aka.ms/vision-4-0-ref). Include `SmartCrops` in the **features** query parameter. Also include a **smartcrops-aspect-ratios** query parameter, and set it to a decimal value for the aspect ratio you want (defined as width / height) in the range [0.75, 1.80]. Multiple aspect ratio values should be comma-separated. If no aspect ratio value is provided the API will return a crop with an aspect ratio that best preserves the image’s most important region.  
 
-## Next steps
+## Next step
 
-* [Call the Analyze Image API](./how-to/call-analyze-image-40.md)
+> [!div class="nextstepaction"]
+> [Call the Analyze Image API](./how-to/call-analyze-image-40.md)

articles/ai-services/computer-vision/concept-generating-thumbnails.md

@@ -8,7 +8,7 @@ manager: nitinme
 
 ms.service: azure-ai-vision
 ms.topic: conceptual
-ms.date: 01/19/2024
+ms.date: 02/21/2025
 ms.collection: "ce-skilling-fresh-tier2, ce-skilling-ai-copilot"
 ms.author: pafarley
 ---
@@ -46,8 +46,6 @@ The following table illustrates thumbnails defined by smart-cropping for the exa
 
 ## Use the API
 
-
 The generate thumbnail feature is available through the [Get Thumbnail](/rest/api/computervision/generate-thumbnail/generate-thumbnail?view=rest-computervision-v3.2&tabs=HTTP) and [Get Area of Interest](/rest/api/computervision/get-area-of-interest/get-area-of-interest?view=rest-computervision-v3.2&tabs=HTTP) API. You can call this API through a native SDK or through REST calls. 
 
-
 * [Generate a thumbnail (how-to)](./how-to/generate-thumbnail.md)

articles/ai-services/computer-vision/concept-model-customization.md

@@ -8,7 +8,7 @@ manager: nitinme
 
 ms.service: azure-ai-vision
 ms.topic: conceptual
-ms.date: 01/19/2024
+ms.date: 02/21/2025
 ms.collection: "ce-skilling-fresh-tier2, ce-skilling-ai-copilot"
 ms.author: pafarley
 ---

articles/ai-services/computer-vision/concept-tagging-images.md

@@ -8,7 +8,7 @@ manager: nitinme
 
 ms.service: azure-ai-vision
 ms.topic: conceptual
-ms.date: 01/19/2024
+ms.date: 02/21/2025
 ms.collection: "ce-skilling-fresh-tier2, ce-skilling-ai-copilot"
 ms.author: pafarley
 ---
@@ -143,6 +143,6 @@ The tagging feature is part of the [Analyze Image](/rest/api/computervision/anal
 
 * [Quickstart: Image Analysis REST API or client libraries](./quickstarts-sdk/image-analysis-client-library.md?pivots=programming-language-csharp)
 
-## Next steps
+## Related content
 
 Learn the related concepts of [categorizing images](concept-categorizing-images.md) and [describing images](concept-describing-images.md).