Merge pull request #229850 from PatrickFarley/comvis-4

[cog svcs] try fix table

Author: prmerger-automator[bot]

articles/cognitive-services/Computer-vision/concept-background-removal.md

@@ -34,7 +34,7 @@ The following example images illustrate what the Image Analysis service returns
 
 
 |Original image  |With background removed  |Alpha matte  |
-|---------|---------|---------|
+|:---------:|:---------:|:---------:|
 
 | | | |
 |---------|---------|---------|

articles/cognitive-services/Computer-vision/concept-image-retrieval.md

@@ -43,9 +43,11 @@ Vector embeddings are a way of representing content—text or images—a
 
 ## How does it work? 
 
+:::image type="content" source="media/image-retrieval.png" alt-text="Diagram of image retrieval process.":::
+
 1. Vectorize Images and Text: the Image Retrieval APIs, **VectorizeImage** and **VectorizeText**, can be used to extract feature vectors out of an image or text respectively. The APIs return a single feature vector representing the entire input.
-- Measure similarity: Vector search systems typically use distance metrics, such as cosine distance or Euclidean distance, to compare vectors and rank them by similarity. The [Vision studio](https://portal.vision.cognitive.azure.com/) demo uses [cosine distance](./how-to/image-retrieval.md#calculate-vector-similarity) to measure similarity.  
-- Retrieve Images: Use the top _N_ vectors similar to the search query and retrieve images corresponding to those vectors from your photo library to  provide as the final result.
+1. Measure similarity: Vector search systems typically use distance metrics, such as cosine distance or Euclidean distance, to compare vectors and rank them by similarity. The [Vision studio](https://portal.vision.cognitive.azure.com/) demo uses [cosine distance](./how-to/image-retrieval.md#calculate-vector-similarity) to measure similarity.  
+1. Retrieve Images: Use the top _N_ vectors similar to the search query and retrieve images corresponding to those vectors from your photo library to  provide as the final result.
 
 ## Next steps
 

articles/cognitive-services/Computer-vision/media/image-retrieval.png

@@ -132,6 +132,12 @@ These APIs are only available in the following geographic regions: East US, Fran
 
 Image Analysis 4.0 (preview) offers the ability to remove the background of an image. This feature can either output an image of the detected foreground object with a transparent background, or a grayscale alpha matte image showing the opacity of the detected foreground object. [Background removal](./concept-background-removal.md)
 
+|Original image  |With background removed  |Alpha matte  |
+|:---------:|:---------:|:---------:|
+
+| | | |
+|---------|---------|---------|
+|   :::image type="content" source="media/background-removal/person-5.png" alt-text="Photo of a group of people using a tablet.":::  |    :::image type="content" source="media/background-removal/person-5-result.png" alt-text="Photo of a group of people using a tablet; background is transparent.":::     |   :::image type="content" source="media/background-removal/person-5-matte.png" alt-text="Alpha matte of a group of people.":::      |
 
 ## Image requirements