Merge pull request #106933 from jennifermarsman/VisualFeatureDocChange

Docs: deprecate support for visual features color and imageType

Author: PRMerger14

articles/search/cognitive-search-concept-intro.md

@@ -16,7 +16,7 @@ AI enrichment is a capability of Azure Cognitive Search indexing used to extract
 
 + **Natural language processing** skills include [entity recognition](cognitive-search-skill-entity-recognition.md), [language detection](cognitive-search-skill-language-detection.md), [key phrase extraction](cognitive-search-skill-keyphrases.md), text manipulation, [sentiment detection](cognitive-search-skill-sentiment.md), and [PII detection](cognitive-search-skill-pii-detection.md). With these skills, unstructured text can assume new forms, mapped as searchable and filterable fields in an index.
 
-+ **Image processing** skills include [Optical Character Recognition (OCR)](cognitive-search-skill-ocr.md) and identification of [visual features](cognitive-search-skill-image-analysis.md), such as facial detection, image interpretation, image recognition (famous people and landmarks) or attributes like colors or image orientation. You can create text-representations of image content, searchable using all the query capabilities of Azure Cognitive Search.
++ **Image processing** skills include [Optical Character Recognition (OCR)](cognitive-search-skill-ocr.md) and identification of [visual features](cognitive-search-skill-image-analysis.md), such as facial detection, image interpretation, image recognition (famous people and landmarks) or attributes like image orientation. You can create text-representations of image content, searchable using all the query capabilities of Azure Cognitive Search.
 
 ![Enrichment pipeline diagram](./media/cognitive-search-intro/cogsearch-architecture.png "enrichment pipeline overview")
 

articles/search/cognitive-search-skill-image-analysis.md

@@ -30,7 +30,7 @@ Parameters are case-sensitive.
 | Parameter name	 | Description |
 |--------------------|-------------|
 | defaultLanguageCode	|  A string indicating the language to return. The service returns recognition results in a specified language. If this parameter is not specified, the default value is "en". <br/><br/>Supported languages are: <br/>*en* - English (default) <br/> *es* - Spanish <br/> *ja* - Japanese <br/> *pt* - Portuguese <br/> *zh* - Simplified Chinese|
-| visualFeatures |	An array of strings indicating the visual feature types to return. Valid visual feature types include:  <ul><li>*adult* - detects if the image is pornographic in nature (depicts nudity or a sex act), or is gory (depicts extreme violence or blood). Sexually suggestive content (aka racy content) is also detected.</li><li>*brands* - detects various brands within an image, including the approximate location. The *brands* visual feature is only available in English.</li><li> *categories* - categorizes image content according to a taxonomy defined in the Cognitive Services [Computer Vision documentation](https://docs.microsoft.com/azure/cognitive-services/computer-vision/category-taxonomy). </li><li>	*color* - determines the accent color, dominant color, and whether an image is black & white.</li><li>*description* - describes the image content with a complete sentence in supported languages.</li><li>*faces* - detects if faces are present. If present, generates coordinates, gender and age.</li><li>	*imageType* - detects if image is clip art or a line drawing.</li><li>	*objects* - detects various objects within an image, including the approximate location. The *objects* visual feature is only available in English.</li><li> *tags* - tags the image with a detailed list of words related to the image content.</li></ul> Names of visual features are case-sensitive.|
+| visualFeatures |	An array of strings indicating the visual feature types to return. Valid visual feature types include:  <ul><li>*adult* - detects if the image is pornographic in nature (depicts nudity or a sex act), or is gory (depicts extreme violence or blood). Sexually suggestive content (aka racy content) is also detected.</li><li>*brands* - detects various brands within an image, including the approximate location. The *brands* visual feature is only available in English.</li><li> *categories* - categorizes image content according to a taxonomy defined in the Cognitive Services [Computer Vision documentation](https://docs.microsoft.com/azure/cognitive-services/computer-vision/category-taxonomy). </li><li>*description* - describes the image content with a complete sentence in supported languages.</li><li>*faces* - detects if faces are present. If present, generates coordinates, gender and age.</li><li>	*objects* - detects various objects within an image, including the approximate location. The *objects* visual feature is only available in English.</li><li> *tags* - tags the image with a detailed list of words related to the image content.</li></ul> Names of visual features are case-sensitive. Note that the *color* and *imageType* visual features have been deprecated, but this functionality could still be accessed via a [custom skill](https://go.microsoft.com/fwlink/?linkid=2121117).|
 | details	| An array of strings indicating which domain-specific details to return. Valid visual feature types include: <ul><li>*celebrities* - identifies celebrities if detected in the image.</li><li>*landmarks* - identifies landmarks if detected in the image. </li></ul> |
 
 ## Skill inputs
@@ -465,20 +465,6 @@ You can define output field mappings to lower-level properties, such as just lan
             ]
           }
         ],
-        "color": {
-          "dominantColorForeground": "Brown",
-          "dominantColorBackground": "Brown",
-          "dominantColors": [
-            "Brown",
-            "Black"
-          ],
-          "accentColor": "873B59",
-          "isBwImg": false
-        },
-        "imageType": {
-          "clipArtType": 0,
-          "lineDrawingType": 0
-        },
         "objects": [
           {
             "rectangle": {