Industrial defect detection with computer vision using Amazon SageMaker | Amazon Web Services

Опубликовано 26 октября 2021, 17:36

In this video, you will learn how you can train your own computer vision models for industrial defect detection in the cloud with Amazon SageMaker, deploy them to an edge device and run local inference on the edge device using Amazon SageMaker Edge Manager. We show how you can leverage SageMaker Pipelines to automatically train ML models and use SageMaker Model Registry to manage model versions and deployments. We showcase a demo application running on an edge device with two different types of computer vision models for defect detection (classification and segmentation).

You can try this demo out yourself by following the steps in the associated GitHub repository: bit.ly/3beaaIk
Learn more about Amazon SageMaker at: go.aws/2ZpYSxT

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