Enhancing industrial safety AI with synthetic data on Amazon SageMaker AI | Amazon Web Services
Industrial safety AI refers to the use of technologies like computer vision and predictive analytics to find and stop workplace dangers. Synthetic data augmentation is emerging as a practical solution to one of the hardest problems in industrial safety AI: the scarcity of training images depicting people in dangerous proximity to heavy machinery. Industries deploying autonomous equipment (for example, agriculture, construction, mining, and manufacturing) need reliable person-detection models. However, the highest-risk scenarios (for example, a worker standing in a blind spot, a child near a moving implement) are precisely the ones that are rarest in real-world datasets. They are also the most dangerous to stage for data collection.
In this post, we show how to use a synthetic data augmentation pipeline built on Amazon SageMaker AI and Amazon Rekognitionto generate photo-realistic training images with automated labels. Our experiments showed up to 160 percent improvement in person detection mAP50 (mean...
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