Launched at AWS re:Invent 2021, Amazon SageMaker Ground Truth Plus helps you create high-quality training datasets by removing the undifferentiated heavy lifting associated with building data labeling applications and managing the labeling workforce. All you do is share data along with labeling requirements, and Ground Truth Plus sets up and manages your data labeling workflow based on these requirements. From there, an expert workforce that is trained on a variety of machine learning (ML) tasks labels your data. You don’t even need deep ML expertise or knowledge of workflow design and quality management to use Ground Truth Plus.
Today, we are excited to announce the launch of new built-in interfaces on Ground Truth Plus. With this new capability, multiple Ground Truth Plus users can now create a new project and batch, share data, and receive data using the same AWS account through self-serve interfaces. This enables you to accelerate the development of high-quality

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