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articles/cognitive-services/Computer-vision/includes/quickstarts-sdk/identity-csharp-sdk.md

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@@ -21,7 +21,7 @@ Get started with facial recognition using the Face client library for .NET. The
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* The [Visual Studio IDE](https://visualstudio.microsoft.com/vs/) or current version of [.NET Core](https://dotnet.microsoft.com/download/dotnet-core).
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* [!INCLUDE [contributor-requirement](../../../includes/quickstarts/contributor-requirement.md)]
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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesFace" title="Create a Face resource" target="_blank">create a Face resource </a> in the Azure portal to get your key and endpoint. After it deploys, click **Go to resource**.
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* You will need the key and endpoint from the resource you create to connect your application to the Face API. You'll paste your key and endpoint into the code below later in the quickstart.
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* You will need the key and endpoint from the resource you create to connect your application to the Face API.
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* You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
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> [!div class="nextstepaction"]

articles/cognitive-services/Computer-vision/includes/quickstarts-sdk/identity-javascript-sdk.md

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@@ -21,7 +21,7 @@ Get started with facial recognition using the Face client library for JavaScript
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* The latest version of [Node.js](https://nodejs.org/en/)
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* [!INCLUDE [contributor-requirement](../../../includes/quickstarts/contributor-requirement.md)]
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* Once you have your Azure subscription, [Create a Face resource](https://portal.azure.com/#create/Microsoft.CognitiveServicesFace) in the Azure portal to get your key and endpoint. After it deploys, click **Go to resource**.
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* You will need the key and endpoint from the resource you create to connect your application to the Face API. You'll paste your key and endpoint into the code below later in the quickstart.
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* You will need the key and endpoint from the resource you create to connect your application to the Face API.
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* You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
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> [!div class="nextstepaction"]

articles/cognitive-services/Computer-vision/includes/quickstarts-sdk/identity-python-sdk.md

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@@ -22,7 +22,7 @@ Get started with facial recognition using the Face client library for Python. Fo
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* Your Python installation should include [pip](https://pip.pypa.io/en/stable/). You can check if you have pip installed by running `pip --version` on the command line. Get pip by installing the latest version of Python.
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* [!INCLUDE [contributor-requirement](../../../includes/quickstarts/contributor-requirement.md)]
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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesFace" title="Create a Face resource" target="_blank">create a Face resource</a> in the Azure portal to get your key and endpoint. After it deploys, click **Go to resource**.
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* You will need the key and endpoint from the resource you create to connect your application to the Face API. You'll paste your key and endpoint into the code below later in the quickstart.
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* You will need the key and endpoint from the resource you create to connect your application to the Face API.
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* You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
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> [!div class="nextstepaction"]

articles/cognitive-services/Computer-vision/includes/quickstarts-sdk/image-analysis-csharp-sdk.md

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@@ -29,7 +29,7 @@ Use the Image Analysis client library for C# to analyze an image for content tag
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* An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/)
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* The [Visual Studio IDE](https://visualstudio.microsoft.com/vs/) or current version of [.NET Core](https://dotnet.microsoft.com/download/dotnet-core).
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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision" title="Create a Computer Vision resource" target="_blank">create a Computer Vision resource </a> in the Azure portal to get your key and endpoint. After it deploys, click **Go to resource**.
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* You need the key and endpoint from the resource you create to connect your application to the Computer Vision service. You'll paste your key and endpoint into the code below later in the quickstart.
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* You need the key and endpoint from the resource you create to connect your application to the Computer Vision service.
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* You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
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> [!div class="nextstepaction"]

articles/cognitive-services/Computer-vision/includes/quickstarts-sdk/image-analysis-java-sdk.md

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@@ -30,7 +30,7 @@ Use the Image Analysis client library to analyze a remote image for tags, text d
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* The current version of the [Java Development Kit (JDK)](https://www.microsoft.com/openjdk)
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* The [Gradle build tool](https://gradle.org/install/), or another dependency manager.
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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision" title="Create a Computer Vision resource" target="_blank">create a Computer Vision resource </a> in the Azure portal to get your key and endpoint. After it deploys, click **Go to resource**.
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* You need the key and endpoint from the resource you create to connect your application to the Computer Vision service. You'll paste your key and endpoint into the code below later in the quickstart.
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* You need the key and endpoint from the resource you create to connect your application to the Computer Vision service.
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* You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
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> [!div class="nextstepaction"]

articles/cognitive-services/Computer-vision/includes/quickstarts-sdk/image-analysis-node-sdk.md

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@@ -30,7 +30,7 @@ Use the Image Analysis client library for JavaScript to analyze a remote image f
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* An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/)
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* The current version of [Node.js](https://nodejs.org/)
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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision" title="Create a Computer Vision resource" target="_blank">create a Computer Vision resource </a> in the Azure portal to get your key and endpoint. After it deploys, click **Go to resource**.
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* You need the key and endpoint from the resource you create to connect your application to the Computer Vision service. You'll paste your key and endpoint into the code below later in the quickstart.
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* You need the key and endpoint from the resource you create to connect your application to the Computer Vision service.
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* You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
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> [!div class="nextstepaction"]

articles/cognitive-services/Computer-vision/includes/quickstarts-sdk/image-analysis-python-sdk.md

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@@ -31,7 +31,7 @@ Use the Image Analysis client library for Python to analyze a remote image for c
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* Your Python installation should include [pip](https://pip.pypa.io/en/stable/). You can check if you have pip installed by running `pip --version` on the command line. Get pip by installing the latest version of Python.
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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision" title="Create a Computer Vision resource" target="_blank">create a Computer Vision resource</a> in the Azure portal to get your key and endpoint. After it deploys, click **Go to resource**.
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* You need the key and endpoint from the resource you create to connect your application to the Computer Vision service. You'll paste your key and endpoint into the code below later in the quickstart.
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* You need the key and endpoint from the resource you create to connect your application to the Computer Vision service.
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* You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
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> [!div class="nextstepaction"]

articles/cognitive-services/Computer-vision/includes/quickstarts-sdk/node-sdk.md

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@@ -27,7 +27,7 @@ Use the Optical character recognition client library to read printed and handwri
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* An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/)
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* The current version of [Node.js](https://nodejs.org/)
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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision" title="Create a Computer Vision resource" target="_blank">create a Computer Vision resource </a> in the Azure portal to get your key and endpoint. After it deploys, click **Go to resource**.
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* You will need the key and endpoint from the resource you create to connect your application to the Computer Vision service. You'll paste your key and endpoint into the code below later in the quickstart.
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* You will need the key and endpoint from the resource you create to connect your application to the Computer Vision service.
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* You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
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> [!div class="nextstepaction"]

articles/cognitive-services/Computer-vision/includes/quickstarts-sdk/python-sdk.md

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@@ -26,8 +26,7 @@ Use the OCR client library to read printed and handwritten text from a remote im
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* [Python 3.x](https://www.python.org/)
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* Your Python installation should include [pip](https://pip.pypa.io/en/stable/). You can check if you have pip installed by running `pip --version` on the command line. Get pip by installing the latest version of Python.
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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision" title="Create a Computer Vision resource" target="_blank">create a Computer Vision resource</a> in the Azure portal to get your key and endpoint. After it deploys, click **Go to resource**.
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* You will need the key and endpoint from the resource you create to connect your application to the Computer Vision service. You'll paste your key and endpoint into the code below later in the quickstart.
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* You will need the key and endpoint from the resource you create to connect your application to the Computer Vision service.
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* You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
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> [!div class="nextstepaction"]

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