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Copy file name to clipboardExpand all lines: articles/ai-services/computer-vision/includes/quickstarts-sdk/identity-python-sdk.md
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Get started with facial recognition using the Face client library for Python. Follow these steps to install the package and try out the example code for basic tasks. The Face service provides you with access to advanced algorithms for detecting and recognizing human faces in images. Follow these steps to install the package and try out the example code for basic face identification using remote images.
* Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/)
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*[Python 3.x](https://www.python.org/)
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*[Python 3.8+](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.
* Once you have your Azure subscription, <ahref="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, select **Go to resource**.
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After installing Python, you can install the client library with:
In this quickstart, you learned how to use the Face client library for Python to do basic face identification. Next, learn about the different face detection models and how to specify the right model for your use case.
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> [Specify a face detection model version](../../how-to/specify-detection-model.md)
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*[What is the Face service?](../../overview-identity.md)
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* More extensive sample code can be found on [GitHub](https://github.com/Azure-Samples/cognitive-services-quickstart-code/blob/master/python/Face/FaceQuickstart.py).
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* More extensive sample code can be found on [GitHub](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/face/azure-ai-vision-face/samples).
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