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Enhancing industrial safety AI with synthetic data on Amazon SageMaker AI

Amazon introduces a synthetic data pipeline for industrial safety models using SageMaker AI. The workflow combines Amazon Rekognition and synthetic generation to create auto-labeled training images, boosting person detection accuracy by up to 160 percent. This approach eliminates the need for manual annotation and hazardous data collection near heavy machinery, helping developers train computer vision models faster and safer.

AWS ML Blog·Sep 17, 2026

Opening Kapyn…