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AWS sagemaker documentation change

Service: sagemaker · 2025-05-01 · Documentation low

File: sagemaker/latest/dg/semantic-segmentation.md

Summary

Changed 'Notebook Instances' to 'notebook instances' in a documentation link text

Security assessment

Minor capitalization change in a documentation link label. No security implications or content modifications related to security features.

Diff

diff --git a/sagemaker/latest/dg/semantic-segmentation.md b/sagemaker/latest/dg/semantic-segmentation.md
index 8aa7dfc25..6347a4ede 100644
--- a//sagemaker/latest/dg/semantic-segmentation.md
+++ b//sagemaker/latest/dg/semantic-segmentation.md
@@ -47 +47 @@ To deploy the trained model for inference, use the SageMaker AI hosting service.
-For a sample Jupyter notebook that uses the SageMaker AI semantic segmentation algorithm to train a model and deploy it to perform inferences, see the [Semantic Segmentation Example](https://sagemaker-examples.readthedocs.io/en/latest/introduction_to_amazon_algorithms/semantic_segmentation_pascalvoc/semantic_segmentation_pascalvoc.html). For instructions on how to create and access Jupyter notebook instances that you can use to run the example in SageMaker AI, see [Amazon SageMaker Notebook Instances](./nbi.html). 
+For a sample Jupyter notebook that uses the SageMaker AI semantic segmentation algorithm to train a model and deploy it to perform inferences, see the [Semantic Segmentation Example](https://sagemaker-examples.readthedocs.io/en/latest/introduction_to_amazon_algorithms/semantic_segmentation_pascalvoc/semantic_segmentation_pascalvoc.html). For instructions on how to create and access Jupyter notebook instances that you can use to run the example in SageMaker AI, see [Amazon SageMaker notebook instances](./nbi.html).