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Enhancing industrial safety AI with synthetic data on Amazon SageMaker AI

This story is from 2026-09-17. It is preserved in the archive; the latest stories are on the live feed.

Learn how to build a synthetic data augmentation pipeline on Amazon SageMaker AI and Amazon Rekognition that generates photo-realistic, auto-labeled training images for industrial safety AI. This approach improved person detection by up to 160% without manual annotation or hazardous data collection…

Read the full story at AWS Machine Learning Blog ↗

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  1. 2026-09-17 15:28 · AWS Machine Learning Blog
    Enhancing industrial safety AI with synthetic data on Amazon SageMaker AI

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