Update missing images.

Author: Sherry Yang

learn-pr/wwl-data-ai/get-started-computer-vision-azure/includes/4-face-service.md

@@ -4,17 +4,17 @@ As a product within Azure AI Vision, **Azure AI Face** supports specific use cas
 
 **Face detection** involves identifying regions of an image that contain a human face, typically by returning *bounding box* coordinates that form a rectangle around the face, like this:
 
-![An image with two faces highlighted in rectangles](../media/face-detection.png)
+![An image with two faces highlighted in rectangles](../media/face-detection-1.png)
 
 With Face, facial features can be used to train machine learning models to return other information, such as facial features such as nose, eyes, eyebrows, lips, and others.
 
-![facial landmarks image showing data around face characteristics](../media/landmarks-1.png)
+![facial landmarks image showing data around face characteristics](../media/landmarks-2.png)
 
 ## Facial recognition
 
 A further application of facial analysis is to train a machine learning model to identify known individuals from their facial features. This is known as *facial recognition*, and uses multiple images of an individual to train the model. This trains the model so that it can detect those individuals in new images on which it wasn't trained.
 
-![A person identified as "Wendell"](../media/facial-recognition.png)
+![A person identified as "Wendell"](../media/facial-recognition-1.png)
 
 When used responsibly, facial recognition is an important and useful technology that can improve efficiency, security, and customer experiences.