Chaining Amazon SageMaker Ground Truth jobs to label progressively Amazon Web Services

Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning. It can reduce your labeling costs by up to 70% using automatic labeling. This blog post explains the Amazon SageMaker Ground Truth chaining feature with a few examples and its potential in labeling your datasets. Chaining reduces time and cost significantly as Amazon SageMaker Ground Truth determines the objects that are already labeled and optimizes the data for automated data labeling mode. As a prerequisite, you might want to check the post "Creating hierarchical label taxonomies using Amazon SageMaker Ground Truth" that shows how to achieve multi-step hierarchical labeling and the documentation on how to use the augmented manifest functionality.