add (preview)

Author: sdgilley

articles/machine-learning/how-to-create-labeling-projects.md

@@ -16,7 +16,7 @@ ms.date: 03/01/2020
 
 Labeling voluminous data in machine learning projects is often a headache. Projects that have a computer-vision component, such as image classification or object detection, generally require labels for thousands of images.
 
-[Azure Machine Learning](https://ml.azure.com/) gives you a central place to create, manage, and monitor labeling projects. Use it to coordinate data, labels, and team members to efficiently manage labeling tasks. Machine Learning supports image classification, either multi-label or multi-class, and object identification with bounded boxes.
+[Azure Machine Learning](https://ml.azure.com/) gives you a central place to create, manage, and monitor labeling projects (public preview). Use it to coordinate data, labels, and team members to efficiently manage labeling tasks. Machine Learning supports image classification, either multi-label or multi-class, and object identification with bounded boxes.
 
 Machine Learning tracks progress and maintains the queue of incomplete labeling tasks. Labelers don't need an Azure account to participate. After they are authenticated with your Microsoft account or [Azure Active Directory](https://docs.microsoft.com/azure/active-directory/active-directory-whatis), they can do as much labeling as their time allows.
 

articles/machine-learning/how-to-label-images.md

@@ -12,7 +12,7 @@ ms.date: 11/04/2019
 
 # Tag images in a labeling project
 
-After your project administrator [creates a labeling project](https://docs.microsoft.com/azure/machine-learning/how-to-create-labeling-projects#create-a-labeling-project) in Azure Machine Learning, you can use the labeling tool to rapidly prepare data for a Machine Learning project. This article describes:
+After your project administrator [creates a labeling project](https://docs.microsoft.com/azure/machine-learning/how-to-create-labeling-projects#create-a-labeling-project) in Azure Machine Learning, you can use the labeling tool (public preview) to rapidly prepare data for a Machine Learning project. This article describes:
 
 > [!div class="checklist"]
 > * How to access your labeling projects

articles/machine-learning/tutorial-labeling.md

@@ -14,20 +14,20 @@ ms.date: 04/02/2020
 # Customer intent: As a project administrator, I want to manage the process of labeling images so they can be used in machine learning models.
 ---
 
-# Tutorial: Create a labeling project for image classification
+# Tutorial: Create a labeling project for multi-class image classification 
 [!INCLUDE [applies-to-skus](../../includes/aml-applies-to-basic-enterprise-sku.md)]
 
-This tutorial shows you how an Azure Machine Learning labeling project helps you manage the process of labeling (also referred to as tagging) images to use as data for building machine learning models. 
+This tutorial shows you how an Azure Machine Learning labeling project helps you manage the process of labeling (also referred to as tagging) images to use as data for building machine learning models. Data labeling is in public preview.
 
 If you want to train a machine learning model to classify images, you need hundreds or even thousands of images that are correctly labeled.  Azure Machine Learning helps you manage the progress of your private team of domain experts as they label your data.
 
-In this tutorial, you learn how to:
+In this tutorial, you'll use images of cats and dogs.  Since each image is either a cat or a dog, this is a *multi-class* labeling project. You'll learn how to:
 
 > [!div class="checklist"]
 >
 > * Create an Azure storage account and upload images to the account.
 > * Create an Azure Machine Learning workspace.
-> * Create an image labeling project
+> * Create a multi-class image labeling project.
 > * Label your data.  Either you or your labelers can perform this task.
 > * Complete the project by reviewing and exporting the data.