To train a machine learning (ML) model, you need a large, high-quality, labeled dataset. Amazon SageMaker Ground Truth helps you build high-quality training datasets for your ML models. With Ground Truth, you can use workers from either Amazon Mechanical Turk, a vendor company of your choosing, or an internal, private workforce to enable you to create a labeled dataset. You can use the labeled dataset output from Ground Truth to train your own models. You can also use the output as a training dataset for an Amazon SageMaker model.
With Ground Truth, you can create a private workforce of employees or contractors to handle your data within your organization. This enables customers who want to keep their data within their organization to use a private workforce to support annotation workloads containing sensitive business data or personal identifiable information (PII) that can’t be handled by external parties. Alternately, if data annotation

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