Amazon Ground Truth

Introducing Amazon SageMaker Ground Truth Plus: A Comprehensive Data Labeling Service

Harness the Power of Human Feedback for Enhanced ML Accuracy

Amazon SageMaker Ground Truth Plus simplifies the data labeling process, enabling organizations to create high-quality labeled data for their machine learning models.

Amazon Web Services (AWS) has announced the general availability of Amazon SageMaker Ground Truth Plus, a new turnkey data labeling service that leverages an expert workforce to provide high-quality labeled data for machine learning (ML) models. Ground Truth Plus offers a comprehensive suite of human-in-the-loop capabilities, allowing organizations to seamlessly integrate human feedback into their ML lifecycle, resulting in improved model accuracy and performance.

With Ground Truth Plus, organizations can choose to use workers from Amazon Mechanical Turk, a vendor company of their choice, or an internal private workforce to label data. This flexibility allows organizations to tailor their labeling approach to meet their specific needs and requirements. The service also seamlessly integrates with machine learning, enabling organizations to leverage both human and machine intelligence to achieve optimal results.

To get started with Amazon SageMaker Ground Truth Plus, organizations can access the AWS Management Console and begin building their data labeling pipelines. For more information on Amazon SageMaker Ground Truth and the importance of labeled data, comprehensive resources are available on the AWS website.