Merge pull request #174244 from sdgilley/sdg-redirect

delete and redirect labeling project -> image labeling

Author: denrea

.openpublishing.redirection.json

@@ -2453,6 +2453,11 @@
       "redirect_url": "/azure/analysis-services/analysis-services-overview",
       "redirect_document_id": false
     },
+    {
+      "source_path_from_root": "/articles/machine-learning/how-to-create-labeling-projects.md",
+      "redirect_url": "/azure/machine-learning/how-to-create-image-labeling-projects",
+      "redirect_document_id": true
+    },
     {
       "source_path_from_root": "/articles/machine-learning/overview-what-is-azure-ml.md",
       "redirect_url": "/azure/machine-learning/overview-what-is-azure-machine-learning",

articles/machine-learning/concept-azure-machine-learning-architecture.md

@@ -265,7 +265,7 @@ The studio is also where you access the interactive tools that are part of Azure
 + [Azure Machine Learning designer](concept-designer.md) to perform workflow steps without writing code
 + Web experience for [automated machine learning](concept-automated-ml.md)
 + [Azure Machine Learning notebooks](how-to-run-jupyter-notebooks.md) to write and run your own code in integrated Jupyter notebook servers.
-+ [Data labeling projects](how-to-create-labeling-projects.md) to create, manage, and monitor projects to label your data
++ Data labeling projects to create, manage, and monitor projects for labeling [images](how-to-create-image-labeling-projects.md) or [text](how-to-create-text-labeling-projects.md).
 
 ### Programming tools
 

articles/machine-learning/concept-data.md

@@ -113,7 +113,7 @@ Labeling large amounts of data has often been a headache in machine learning pro
 
 Azure Machine Learning gives you a central location to create, manage, and monitor labeling projects. Labeling projects help coordinate the data, labels, and team members, allowing you to more efficiently manage the labeling tasks. Currently supported tasks are image classification, either multi-label or multi-class, and object identification using bounded boxes.
 
-Create a [data labeling project](how-to-create-labeling-projects.md), and output a dataset for use in machine learning experiments.
+Create an [image labeling project](how-to-create-image-labeling-projects.md) or [text labeling project](how-to-create-text-labeling-projects.md), and output a dataset for use in machine learning experiments.
 
 <a name="drift"></a>
 

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

@@ -223,7 +223,7 @@ file_dataset = file_dataset.filter(file_dataset.file_metadata['Size'] < 100000)
 file_dataset = file_dataset.filter((file_dataset.file_metadata['CreatedTime'] < datetime(2020,1,1)) | (file_dataset.file_metadata['CanSeek'] == False))
 ```
 
-**Labeled datasets** created from [data labeling projects](how-to-create-labeling-projects.md) are a special case. These datasets are a type of TabularDataset made up of image files. For these types of datasets, you can [filter()](/python/api/azureml-core/azureml.data.tabulardataset#filter-expression-) images by metadata, and by column values like `label` and `image_details`.
+**Labeled datasets** created from [image labeling projects](how-to-create-image-labeling-projects.md) are a special case. These datasets are a type of TabularDataset made up of image files. For these types of datasets, you can [filter()](/python/api/azureml-core/azureml.data.tabulardataset#filter-expression-) images by metadata, and by column values like `label` and `image_details`.
 
 ```python
 # Dataset that only contains records where the label column value is dog

articles/machine-learning/how-to-create-register-datasets.md

@@ -13,7 +13,7 @@ ms.custom: data4ml
 
 # Labeling images and text documents
 
-After your project administrator [creates a data labeling project](./how-to-create-labeling-projects.md#create-a-data-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 an [image data labeling project](./how-to-create-image-labeling-projects.md) or [text data labeling project](./how-to-create-text-labeling-projects.md) in Azure Machine Learning, you can use the labeling tool to rapidly prepare data for a Machine Learning project. This article describes:
 
 > [!div class="checklist"]
 > * How to access your labeling projects

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

@@ -163,7 +163,7 @@ To enable full studio functionality, see [Use Azure Machine Learning studio in a
 
 ### Limitations
 
-[ML-assisted data labeling](how-to-create-labeling-projects.md#use-ml-assisted-data-labeling) doesn't support a default storage account behind a virtual network. Instead, use a storage account other than the default for ML assisted data labeling. 
+[ML-assisted data labeling](how-to-create-image-labeling-projects.md#use-ml-assisted-data-labeling) doesn't support a default storage account behind a virtual network. Instead, use a storage account other than the default for ML assisted data labeling. 
 
 > [!TIP]
 > As long as it is not the default storage account, the account used by data labeling can be secured behind the virtual network. 

articles/machine-learning/how-to-network-security-overview.md

@@ -31,7 +31,7 @@ Before you create your data labeling project:
 
 Once the contract with the vendor labeling company is in place:
 
-1. Create the labeling project in [Azure Machine Learning studio](https://ml.azure.com). For more details on creating a project, see [Create a data labeling project and export labels](how-to-create-labeling-projects.md).
+1. Create the labeling project in [Azure Machine Learning studio](https://ml.azure.com). For more details on creating a project, see how to create an [image labeling project](how-to-create-image-labeling-projects.md) or [text labeling project](how-to-create-text-labeling-projects.md).
 1. You're not limited to using a data labeling provider from Azure Marketplace.  But if you do use a provider from Azure Marketplace:
     1. Select **Use a vendor labeling company from Azure Marketplace** in the workforce step.
     1. Select the appropriate data labeling company in the dropdown.
@@ -78,4 +78,5 @@ In order for the vendor labeling company to have access into your projects, you'
 
 ## Next steps
 
-[Create a data labeling project and export labels](how-to-create-labeling-projects.md)
+* [Create an image labeling project and export labels](how-to-create-image-labeling-projects.md)
+* [Create a text labeling project and export labels (preview)](how-to-create-text-labeling-projects.md)

articles/machine-learning/how-to-outsource-data-labeling.md

@@ -19,15 +19,15 @@ In this article, you'll learn how to export the data labels from an Azure Machin
 
 ## What are datasets with labels 
 
-We refer to Azure Machine Learning datasets with labels as labeled datasets. These specific dataset types of labeled datasets are only created as an output of Azure Machine Learning data labeling projects. Create a data labeling project with [these steps](how-to-create-labeling-projects.md). Machine Learning supports data labeling projects for image classification, either multi-label or multi-class, and object identification together with bounded boxes.
+We refer to Azure Machine Learning datasets with labels as labeled datasets. These specific dataset types of labeled datasets are only created as an output of Azure Machine Learning data labeling projects. Create a data labeling project [for image labeling](how-to-create-image-labeling-projects.md) or [text labeling](how-to-create-text-labeling-projects.md). Machine Learning supports data labeling projects for image classification, either multi-label or multi-class, and object identification together with bounded boxes.
 
 ## Prerequisites
 
 * An Azure subscription. If you don’t have an Azure subscription, create a [free account](https://azure.microsoft.com/free/) before you begin.
 * The [Azure Machine Learning SDK for Python](/python/api/overview/azure/ml/intro), or access to [Azure Machine Learning studio](https://ml.azure.com/).
     * Install the [azure-contrib-dataset](/python/api/azureml-contrib-dataset/) package
 * A Machine Learning workspace. See [Create an Azure Machine Learning workspace](how-to-manage-workspace.md).
-* Access to an Azure Machine Learning data labeling project. If you don't have a labeling project, create one with [these steps](how-to-create-labeling-projects.md).
+* Access to an Azure Machine Learning data labeling project. If you don't have a labeling project, first create one for [image labeling](how-to-create-image-labeling-projects.md) or [text labeling](how-to-create-text-labeling-projects.md).
 
 ## Export data labels 
 

articles/machine-learning/how-to-use-labeled-dataset.md

@@ -51,7 +51,7 @@ The studio offers multiple authoring experiences depending on the type project a
 
 + **Data labeling**
 
-    Use [Azure Machine Learning data labeling](how-to-create-labeling-projects.md) to efficiently coordinate data labeling projects.
+    Use Azure Machine Learning data labeling to efficiently coordinate [image labeling](how-to-create-image-labeling-projects.md) or [text labeling](how-to-create-text-labeling-projects.md) projects.
 
 ## Manage assets and resources