Labeling is an indispensable stage of data preprocessing in supervised learning. Amazon SageMaker Ground Truth is a fully managed data labeling service that makes it easy to build highly accurate training datasets for machine learning. Ground Truth helps improve the quality of labels through annotation consolidation and audit workflows. Ground Truth is easy to use, can reduce your labeling costs by up to 70% using automatic labeling, and provides options to work with labelers inside and outside of your organization.
This post explains how you can use Ground Truth partial labeling data loaded in Amazon Simple Storage Service (Amazon S3) to gamify labeling workflows. The core …
Related posts:
"The Power of AI in Business and Entrepreneurship: Unlocking Opportunities and Driving Success"
"The Power of AI: Revolutionizing Business and Empowering Entrepreneurs"
Optimize your inference jobs using dynamic batch inference with TorchServe on Amazon SageMaker
Graph-based recommendation system with Neptune ML: An illustration on social network link prediction...
