Accurately automating dataset labeling using Amazon SageMaker Ground Truth - AWS Innovate
Successful machine learning models are built on the foundation of large volumes of high-quality training data. But the process of creating the training data necessary to build these models is often expensive, complicated, and time-consuming. Amazon SageMaker Ground Truth significantly reduces the time and effort required to create datasets for training. These savings are achieved by using machine learning to automatically label data, and the model is able to progressively improve over time by continuously learning from labels created by human labelers. Learn how to use Amazon SageMaker Ground Truth to build highly accurate training datasets for machine learning quickly.