Merge pull request #199371 from PatrickFarley/comvis-studio

[cog svcs] Vision Studio integration

Author: v-shils

articles/cognitive-services/Computer-vision/Images/vision-studio-demo-1.png

@@ -20,6 +20,11 @@ Computer Vision can analyze an image and generate a human-readable phrase that d
 
 At this time, English is the only supported language for image description.
 
+Try out the image captioning features quickly and easily in your browser using Vision Studio.
+
+> [!div class="nextstepaction"]
+> [Try Vision Studio](https://vision.cognitive.azure.com/)
+
 ## Image description example
 
 The following JSON response illustrates what the Analyze API returns when describing the example image based on its visual features.

articles/cognitive-services/Computer-vision/Images/vision-studio-demo-2.png

@@ -21,6 +21,11 @@ Computer Vision can detect adult material in images so that developers can restr
 > [!NOTE]
 > Much of this functionality is offered by the [Azure Content Moderator](../content-moderator/overview.md) service. See this alternative for solutions to more rigorous content moderation scenarios, such as text moderation and human review workflows.
 
+Try out the adult content detection features quickly and easily in your browser using Vision Studio.
+
+> [!div class="nextstepaction"]
+> [Try Vision Studio](https://vision.cognitive.azure.com/)
+
 ## Content flag definitions
 
 The "adult" classification contains several different categories:

articles/cognitive-services/Computer-vision/Images/vision-studio-home-page.png

@@ -21,6 +21,11 @@ Image Analysis can detect human faces within an image and generate rectangle coo
 > [!NOTE]
 > This feature is also offered by the dedicated [Face](./overview-identity.md) service. Use this alternative for more detailed face analysis, including face identification and head pose detection. 
 
+Try out the face detection features quickly and easily in your browser using Vision Studio.
+
+> [!div class="nextstepaction"]
+> [Try Vision Studio](https://vision.cognitive.azure.com/)
+
 ## Face detection examples
 
 The following example demonstrates the JSON response returned by Analyze API for an image containing a single human face.

articles/cognitive-services/Computer-vision/Images/vision-studio-wizard-1.png

@@ -25,6 +25,10 @@ You use the [Face - Detect](https://westus.dev.cognitive.microsoft.com/docs/serv
 
 Each detected face corresponds to a `faceRectangle` field in the response. This is a set of pixel coordinates for the left, top, width, and height of the detected face. Using these coordinates, you can get the location and size of the face. In the API response, faces are listed in size order from largest to smallest.
 
+Try out the capabilities of face detection quickly and easily using Vision Studio.
+> [!div class="nextstepaction"]
+> [Try Vision Studio](https://vision.cognitive.azure.com/)
+
 ## Face ID
 
 The face ID is a unique identifier string for each detected face in an image. You can request a face ID in your [Face - Detect](https://westus.dev.cognitive.microsoft.com/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236) API call.