Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly.

The journey to build machine learning models requires developers to prepare their datasets for training their ML models. Before developers can select their algorithms, build their models, and deploy them to make predictions, human annotators manually review thousands of examples and add the labels required to train machine learning models. This process is time consuming and expensive. Amazon SageMaker Ground Truth makes it much easier for developers to label their data using human annotators through Mechanical Turk, third party vendors, or their own employees. Amazon SageMaker Ground Truth learns from these annotations in real time and can automatically apply labels to much of the remaining dataset, reducing the need for human review. Amazon SageMaker Ground Truth creates highly accurate training data sets, saves time and complexity, and reduces costs by up to 70 percent when compared to human annotation.

Amazon SageMaker Ground Truth is generally available today in N. Virginia, Oregon, Ohio, Ireland, and Tokyo AWS regions. For more details, please check out the product pages today.