Amazon SageMaker Ground Truth extends automated data labeling support to the semantic segmentation labeling workflow, and expands availability to six additional AWS Regions
Amazon SageMaker Ground Truth now supports automated data labeling for the built-in image labeling workflow for semantic segmentation. With the addition of Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Canada (Central), EU (Frankfurt), and EU (London), SageMaker Ground Truth is available in 12 AWS Regions.
Amazon SageMaker Ground Truth now supports automated data labeling for the built-in image labeling workflow for semantic segmentation. With the addition of Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Canada (Central), EU (Frankfurt), and EU (London), SageMaker Ground Truth is available in 12 AWS Regions.
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.
Please visit our product page and documentation to learn more about SageMaker Ground Truth.