Train custom computer vision defect detection model using Amazon SageMaker

In this post, we demonstrate how to migrate computer vision workloads from Amazon Lookout for Vision to Amazon SageMaker AI by training custom defect detection models using pre-trained models available on AWS Marketplace. We provide step-by-step guidance on labeling datasets with SageMaker Ground Truth, training models with flexible hyperparameter configurations, and deploying them for real-time or batch inference—giving you greater control and flexibility for automated quality inspection use cases.

CNN taps Gold to cover artificial intelligence

CNN has tapped Hadas Gold to cover artificial intelligence. She has spent the past five years as its Israel correspondent. Before that, Gold had been a business, media and technology correspondent for CNN Business based in London. She previously worked for Politico. and her work appeared across CNN Politics, CNNMoney, and CNN. Prior to joining CNN, Gold spent more than five years at Politico as […]