Minor edits to CusVis PR.

Author: erhopf

articles/cognitive-services/Custom-Vision-Service/select-domain.md

@@ -1,22 +1,23 @@
 ---
-title: "Select appropriate domain for your project"
+title: "Select a domain for a Custom Vision project - Computer Vision"
 titleSuffix: Azure Cognitive Services
 description: This article will show you how to select a domain for your project in the Custom Vision Service.
 services: cognitive-services
 author: shonohs
-manager: 
-
+manager: nitinme
 ms.service: cognitive-services
 ms.subservice: custom-vision
 ms.topic: conceptual
-ms.date: 02/14/2020
+ms.date: 03/06/2020
 ms.author: shono
 ---
 
-# Choose an appropriate domain for you project
-On the project settings windows, you can select a domain for your project. Choose a domain which is closest to your scenario.
+# Select a domain for a Custom Vision project
+
+From the settings blade for your Custom Vision project, you can select a domain for your project. Choose the domain that is closest to your scenario.
 
 ## Image Classification
+
 |Domain|Purpose|
 |---|---|
 |__Generic__| Optimized for a broad range of image classification tasks. If none of the other domains are appropriate, or you're unsure of which domain to choose, select the Generic domain.|
@@ -35,7 +36,8 @@ On the project settings windows, you can select a domain for your project. Choos
 |__Compact domains__| Optimized for the constraints of real-time object detection on edge devices.|
 
 ## Compact domains
-The models generated by compact domains can be exported to run locally. The model performance varies by the selected domain. In the table below, we report the model size and inference time on Intel Desktop CPU and NVidia GPU[^1]. Note that these numbers don't include preprocessing and postprocessing time.
+
+The models generated by compact domains can be exported to run locally. Model performance varies by selected domain. In the table below, we report the model size and inference time on Intel Desktop CPU and NVidia GPU[^1]. Note: these numbers don't include preprocessing and postprocessing time.
 
 |Task|Domain|Model Size|CPU inference time|GPU inference time|
 |---|---|---|---|---|
@@ -44,13 +46,15 @@ The models generated by compact domains can be exported to run locally. The mode
 |Object Detection|General (compact) [S1]|14 MB|27 ms|7 ms|
 
 ## VAIDK (Vision AI Dev Kit)
+
 When a compact domain is selected an extra option "Export Capabilities" is provided allowing for distinguishing between "Basic Platforms" and "Vision AI Dev Kit".
-Under "Export Capabilities" the two options are:
+
+Under _Export Capabilities_ the two options are:
+
 - Basic platforms (Tensorflow, CoreML, ONNX, etc.)
 - Vision AI Dev Kit.
 
-When "Vision AI Dev Kit" is selected the "Generic", "Landmarks", and "Retail" but not the "Food" compact domains are available for Image Classification while both "General (compact)" and "General (compact) [S1]" are available for object detection.
-
+When _Vision AI Dev Kit_ is selected the _Generic_, _Landmarks_, and _Retail_ but not the _Food_ compact domains are available for Image Classification while both _General (compact)_ and _General (compact) [S1]_ are available for object detection.
 
 >[!NOTE]
 >__General (compact)__ domain for Object Detection requires special postprocessing logic. For the detail, please see an example script in the exported zip package. If you need a model without the postprocessing logic, use __General (compact) [S1]__.

articles/cognitive-services/Custom-Vision-Service/toc.yml

@@ -57,7 +57,7 @@
     href: test-your-model.md
   - name: Improve your classifier
     href: getting-started-improving-your-classifier.md
-  - name: Choose a domain
+  - name: Select a domain
     href: select-domain.md
   - name: Use the prediction API
     href: use-prediction-api.md