AWS Upgrades SageMaker Labeling Tool

Amazon Web Services has added a 3D visualization capability to its SageMaker data labeling tool used to build training data sets for machine learning models. AWS said this week its SageMaker data labeling service called Ground Truth introduced in 2018 now includes a workflow for labeling of point clouds, a set of data points generated by tools like 3D scanners or Lidar sensors. Among the applications is labeling huge 3D data sets used to train models incorporated into self-driving car navigation systems. Those data sets can grow to hundreds of megabytes, making labeling extremely arduous. The new 3D point cloud labeling tool is billed as a custom workflow that includes a built-in editor and new "assistive" labeling features, the company (NASDAQ: AMZN) said in a June 10 blog post.