Amazon SageMaker Ground Truth
Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%
Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks. Additionally, SageMaker Ground Truth can lower your labeling costs by up to 70% using automatic labeling, which works by training Ground Truth from data labeled by humans so that the service learns to label data independently. These savings are achieved by using machine learning to automatically label data. The model is able to get progressively better over time by continuously learning from labels created by human labelers.
Reduce data labeling costs by up to 70%
SageMaker Ground Truth uses a machine learning model to automatically label data to produce high-quality training datasets at a fraction of the cost of manual labeling. Data is only routed to humans if the active learning model cannot confidently label it. Over the course of time, the model is able to label data on its own thus improving speed, accuracy, and reducing costs.
Work with public and private human labelers
With SageMaker Ground Truth, you can choose to use your team of labelers for labeling tasks for tasks involving sensitive data. Alternatively, you can work with labelers outside of your organization using Amazon Mechanical Turk and leveraging a public workforce of over 500,000 labelers, if you have non-sensitive data. You also have a choice of using professional labeling companies pre-screened and approved by Amazon.
Achieve accurate results quickly
Labels generated by the machine learning model provide consistent results with a confidence score for each label. Human labeled-results are automatically scored against criteria you provide to help ensure that more data is sent to high-quality labelers. The continued learning of the machine learning model from the human labelers lead to quick and accurate results.
How it works
Refer to the documentation to learn how Amazon SageMaker Ground Truth can help you build high-quality training datasets with the highest accuracy and reduce labeling data costs by up to 70%.
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Get started building with Amazon SageMaker Ground Truth in the AWS Management Console.