Description

Amazon SageMaker Ground Truth is a fully managed data labeling solution designed for data scientists and machine learning developers. It enables users to collect label inputs from two or more data labelers and combine them to create a single data label for the machine learning model, create a streaming labeling task, send new dataset objects to labelers in real-time, generate specific types of labels for the data, as well as build accurate training datasets for machine learning. Features include built-in labeling workflows, object detection, objection tracking, text classification, and semantic segmentation.