It takes massive amounts of data to train AI models. But sometimes, that data simply isn’t available from real-world sources, so data scientists use synthetic data to make up for that. In machine vision applications, that means creating different environments and objects to train robots or self-driving cars, for example. But while there are quite a few tools out there to create virtual environments, there aren’t a lot of tools for creating virtual objects.
At its re:Mars conference, Amazon today announced Sagemaker Ground Truth Synthetics, a new tool for creating a virtually unlimited number of images of a given object in diffe …
