Easily perform bulk label quality assurance using Amazon SageMaker Ground Truth Amazon Web Services

In this blog post we're going to walk you through an example situation where you've just built a machine learning system that labels your data at volume and you want to perform manual quality assurance (QA) on some of the labels. How can you do so without overwhelming your limited resources? Rather than asking your workers to validate items one at a time, you'll accomplish custom labeling by presenting a small batch of already-labeled items that have been assigned the same label. You'll ask the worker to mark any that aren't correct. In this way, a workforce is able to quickly assess a much larger quantity of data than they could label from scratch in the same time. Amazon 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.