cusvis freshness

Author: PatrickFarley

articles/ai-services/custom-vision-service/custom-vision-onnx-windows-ml.md

@@ -8,14 +8,14 @@ manager: nitinme
 
 ms.service: azure-ai-custom-vision
 ms.topic: how-to
-ms.date: 01/22/2024
+ms.date: 02/21/2025
 ms.author: pafarley
 #Customer intent: As a developer, I want to use a custom vision model with Windows ML.
 ---
 
 # Use an ONNX model from Custom Vision with Windows ML (preview)
 
-Learn how to use an ONNX model exported from the Custom Vision service with Windows ML (preview). You'll use an example UWP application with your own trained image classifier.
+Learn how to use an ONNX model exported from the Custom Vision service with Windows ML (preview). You'll use an example application with your own trained image classifier.
 
 ## Prerequisites
 
@@ -24,9 +24,9 @@ Learn how to use an ONNX model exported from the Custom Vision service with Wind
 * Visual Studio 2017 version 15.7 or later with the __Universal Windows Platform development__ workload enabled.
 * Developer mode enabled on your PC. For more information, see [Enable your device for development](/windows/uwp/get-started/enable-your-device-for-development).
 
-## About the example app
+## About the example application
 
-The included application is a generic Windows UWP app. It allows you to select an image from your computer and process it using a locally stored classification model. The tags and scores returned by the model are displayed next to the image.
+The included application is a generic Universal Windows Platform (UWP) app. It allows you to select an image from your computer and process it using a locally stored classification model. The tags and scores returned by the model are displayed next to the image.
 
 ## Get the application
 
@@ -53,7 +53,7 @@ To use your own image classifier model, follow these steps:
 1. Use the `F5` to build and run the project.
 1. Select button to select image to evaluate.
 
-## Next steps
+## Related content
 
 To discover other ways to export and use a Custom Vision model, see the following documents: