Auto-segmenting objects when performing semantic segmentation labeling with Amazon SageMaker Ground Truth Amazon Web Services

Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning (ML) quickly. Ground Truth offers easy access to third-party and your own human labelers and provides them with built-in workflows and interfaces for common labeling tasks. Additionally, Ground Truth can lower your labeling costs by up to 70% using automatic labeling, which works by training Ground Truth from data humans have labeled so that the service learns to label data independently. Semantic segmentation is a computer vision ML technique that involves assigning class labels to individual pixels in an image. For example, in video frames captured by a moving vehicle, class labels can include vehicles, pedestrians, roads, traffic signals, buildings, or backgrounds.