Merge pull request #213086 from PatrickFarley/cusvis-updates

[cog svcs] clarify instructions

Author: prmerger-automator[bot]

articles/cognitive-services/Custom-Vision-Service/get-started-build-detector.md

@@ -40,11 +40,12 @@ In your web browser, navigate to the [Custom Vision web page](https://customvisi
 
     ![The new project dialog box has fields for name, description, and domains.](./media/get-started-build-detector/new-project.png)
 
-1. Enter a name and a description for the project. Then select a Resource Group. If your signed-in account is associated with an Azure account, the Resource Group dropdown will display all of your Azure Resource Groups that include a Custom Vision Service Resource. 
+1. Enter a name and a description for the project. Then select your Custom Vision Training Resource. If your signed-in account is associated with an Azure account, the Resource dropdown will display all of your compatible Azure resources. 
 
    > [!NOTE]
-   > If no resource group is available, please confirm that you have logged into [customvision.ai](https://customvision.ai) with the same account as you used to log into the [Azure portal](https://portal.azure.com/). Also, please confirm you have selected the same "Directory" in the Custom Vision website as the directory in the Azure portal where your Custom Vision resources are located. In both sites, you may select your directory from the drop down account menu at the top right corner of the screen. 
+   > If no resource is available, please confirm that you have logged into [customvision.ai](https://customvision.ai) with the same account as you used to log into the [Azure portal](https://portal.azure.com/). Also, please confirm you have selected the same "Directory" in the Custom Vision website as the directory in the Azure portal where your Custom Vision resources are located. In both sites, you may select your directory from the drop down account menu at the top right corner of the screen. 
 
+1. Under 
 1. Select __Object Detection__ under __Project Types__.
 
 1. Next, select one of the available domains. Each domain optimizes the detector for specific types of images, as described in the following table. You can change the domain later if you want to.

articles/cognitive-services/Custom-Vision-Service/getting-started-build-a-classifier.md

@@ -41,10 +41,10 @@ In your web browser, navigate to the [Custom Vision web page](https://customvisi
 
     ![The new project dialog box has fields for name, description, and domains.](./media/getting-started-build-a-classifier/new-project.png)
 
-1. Enter a name and a description for the project. Then select a Resource Group. If your signed-in account is associated with an Azure account, the Resource Group dropdown will display all of your Azure Resource Groups that include a Custom Vision Service Resource. 
+1. Enter a name and a description for the project. Then select your Custom Vision Training Resource. If your signed-in account is associated with an Azure account, the Resource dropdown will display all of your compatible Azure resources. 
 
    > [!NOTE]
-   > If no resource group is available, please confirm that you have logged into [customvision.ai](https://customvision.ai) with the same account as you used to log into the [Azure portal](https://portal.azure.com/). Also, please confirm you have selected the same "Directory" in the Custom Vision web portal as the directory in the Azure portal where your Custom Vision resources are located. In both sites, you may select your directory from the drop down account menu at the top right corner of the screen. 
+   > If no resource is available, please confirm that you have logged into [customvision.ai](https://customvision.ai) with the same account as you used to log into the [Azure portal](https://portal.azure.com/). Also, please confirm you have selected the same "Directory" in the Custom Vision website as the directory in the Azure portal where your Custom Vision resources are located. In both sites, you may select your directory from the drop down account menu at the top right corner of the screen. 
 
 1. Select __Classification__ under __Project Types__. Then, under __Classification Types__, choose either **Multilabel** or **Multiclass**, depending on your use case. Multilabel classification applies any number of your tags to an image (zero or more), while multiclass classification sorts images into single categories (every image you submit will be sorted into the most likely tag). You'll be able to change the classification type later if you want to.