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Semantic Segmentation - MxNet
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This is a supervised semantic segmentation algorithm which supports fine-tuning of many pre-trained models available in MXNet. The following
`sample notebook <https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_semantic_segmentation/Amazon_JumpStart_Semantic_Segmentation.ipynb>`__
demonstrates how to use the Sagemaker Python SDK for Semantic Segmentation for using these algorithms.

For detailed documentation please refer :ref:`Use Built-in Algorithms with Pre-trained Models in SageMaker Python SDK <built-in-algos>`