Merge pull request #108932 from PatrickFarley/comvis-updates

[cog serv] Various updates from external PRs

Author: PRMerger19

articles/cognitive-services/Computer-vision/concept-categorizing-images.md

@@ -56,6 +56,13 @@ The following table illustrates a typical image set and the category returned by
 | ![A person standing on a mountain rock at sunset](./Images/mountain_vista.png) | outdoor_mountain |
 | ![A pile of bread roles on a table](./Images/bread.png) | food_bread |
 
+## Use the API
+
+The categorization feature is part of the [Analyze Image](https://westcentralus.dev.cognitive.microsoft.com/docs/services/5adf991815e1060e6355ad44/operations/56f91f2e778daf14a499e1fa) API. You can call this API through a native SDK or through REST calls. Include `Categories` in the **visualFeatures** query parameter. Then, when you get the full JSON response, simply parse the string for the contents of the `"categories"` section.
+
+* [Quickstart: Computer Vision .NET SDK](./quickstarts-sdk/client-library.md?pivots=programming-language-csharp)
+* [Quickstart: Analyze an image (REST API)](./quickstarts/csharp-analyze.md)
+
 ## Next steps
 
-Learn concepts about [tagging images](concept-tagging-images.md) and [describing images](concept-describing-images.md).
+Learn the related concepts of [tagging images](concept-tagging-images.md) and [describing images](concept-describing-images.md).

articles/cognitive-services/Computer-vision/concept-describing-images.md

@@ -52,6 +52,13 @@ The following JSON response illustrates what Computer Vision returns when descri
 }
 ```
 
+## Use the API
+
+The image description feature is part of the [Analyze Image](https://westcentralus.dev.cognitive.microsoft.com/docs/services/5adf991815e1060e6355ad44/operations/56f91f2e778daf14a499e1fa) API. You can call this API through a native SDK or through REST calls. Include `Description` in the **visualFeatures** query parameter. Then, when you get the full JSON response, simply parse the string for the contents of the `"description"` section.
+
+* [Quickstart: Computer Vision .NET SDK](./quickstarts-sdk/client-library.md?pivots=programming-language-csharp)
+* [Quickstart: Analyze an image (REST API)](./quickstarts/csharp-analyze.md)
+
 ## Next steps
 
-Learn concepts about [tagging images](concept-tagging-images.md) and [categorizing images](concept-categorizing-images.md).
+Learn the related concepts of [tagging images](concept-tagging-images.md) and [categorizing images](concept-categorizing-images.md).

articles/cognitive-services/Computer-vision/concept-detecting-color-schemes.md

@@ -74,6 +74,9 @@ The following table shows Computer Vision's black and white evaluation in the sa
 |![A black and white picture of buildings in Manhattan](./Images/bw_buildings.png) | true |
 |![A blue house and the front yard](./Images/house_yard.png) | false |
 
-## Next steps
+## Use the API
 
-Learn concepts about [detecting image types](concept-detecting-image-types.md).
+The color scheme detection feature is part of the [Analyze Image](https://westcentralus.dev.cognitive.microsoft.com/docs/services/5adf991815e1060e6355ad44/operations/56f91f2e778daf14a499e1fa) API. You can call this API through a native SDK or through REST calls. Include `Color` in the **visualFeatures** query parameter. Then, when you get the full JSON response, simply parse the string for the contents of the `"color"` section.
+
+* [Quickstart: Computer Vision .NET SDK](./quickstarts-sdk/client-library.md?pivots=programming-language-csharp)
+* [Quickstart: Analyze an image (REST API)](./quickstarts/csharp-analyze.md)

articles/cognitive-services/Computer-vision/concept-detecting-faces.md

@@ -107,6 +107,9 @@ The next example demonstrates the JSON response returned for an image containing
 }
 ```
 
-## Next steps
+## Use the API
 
-See the [Analyze Image](https://westus.dev.cognitive.microsoft.com/docs/services/5adf991815e1060e6355ad44/operations/56f91f2e778daf14a499e1fa) reference documentation to learn more about how to use the face detection feature.
+The face detection feature is part of the [Analyze Image](https://westcentralus.dev.cognitive.microsoft.com/docs/services/5adf991815e1060e6355ad44/operations/56f91f2e778daf14a499e1fa) API. You can call this API through a native SDK or through REST calls. Include `Faces` in the **visualFeatures** query parameter. Then, when you get the full JSON response, simply parse the string for the contents of the `"faces"` section.
+
+* [Quickstart: Computer Vision .NET SDK](./quickstarts-sdk/client-library.md?pivots=programming-language-csharp)
+* [Quickstart: Analyze an image (REST API)](./quickstarts/csharp-analyze.md)

articles/cognitive-services/Computer-vision/concept-detecting-image-types.md

@@ -109,6 +109,9 @@ The following JSON responses illustrates what Computer Vision returns when indic
 }
 ```
 
-## Next steps
+## Use the API
 
-See the [Analyze Image](https://westus.dev.cognitive.microsoft.com/docs/services/5adf991815e1060e6355ad44/operations/56f91f2e778daf14a499e1fa) reference documentation to learn how to detect image types.
+The image type detection feature is part of the [Analyze Image](https://westcentralus.dev.cognitive.microsoft.com/docs/services/5adf991815e1060e6355ad44/operations/56f91f2e778daf14a499e1fa) API. 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: Computer Vision .NET SDK](./quickstarts-sdk/client-library.md?pivots=programming-language-csharp)
+* [Quickstart: Analyze an image (REST API)](./quickstarts/csharp-analyze.md)

articles/cognitive-services/Computer-vision/concept-tagging-images.md

@@ -79,6 +79,13 @@ The following JSON response illustrates what Computer Vision returns when taggin
 }
 ```
 
+## Use the API
+
+The tagging feature is part of the [Analyze Image](https://westcentralus.dev.cognitive.microsoft.com/docs/services/5adf991815e1060e6355ad44/operations/56f91f2e778daf14a499e1fa) API. You can call this API through a native SDK or through REST calls. Include `Tags` in the **visualFeatures** query parameter. Then, when you get the full JSON response, simply parse the string for the contents of the `"tags"` section.
+
+* [Quickstart: Computer Vision .NET SDK](./quickstarts-sdk/client-library.md?pivots=programming-language-csharp)
+* [Quickstart: Analyze an image (REST API)](./quickstarts/csharp-analyze.md)
+
 ## Next steps
 
-Learn concepts about [categorizing images](concept-categorizing-images.md) and [describing images](concept-describing-images.md).
+Learn the related concepts of [categorizing images](concept-categorizing-images.md) and [describing images](concept-describing-images.md).

articles/cognitive-services/Computer-vision/includes/quickstarts-sdk/java-sdk.md

@@ -212,7 +212,7 @@ Computer Vision can read visible text in an image and convert it to a character
 
 First, use the following code to call the **recognizePrintedTextInStream** method for the given image. When you add this code to your project, you need to replace the value of `localTextImagePath` with the path to your local image. 
 
-[!code-java[](~/cognitive-services-quickstart-code/java/ComputerVision/src/main/java/ComputerVisionQuickstart.java?name=snippet_imagetype)]
+[!code-java[](~/cognitive-services-quickstart-code/java/ComputerVision/src/main/java/ComputerVisionQuickstart.java?name=snippet_read_call)]
 
 ### Print Recognize results