How Synthetic Data Can Help
Millions of images have been collected from satellite and surveillance imaging systems over the years that are now being painstakingly analyzed and annotated for industrial and commercial applications.
Robots must navigate complex warehouses and data centers using complex webs of object recognition. Self-driving vehicles must be both self aware and predictive of environments and other vehicles on the road.
If the industrial future is robotics — and most agree that it is — then a key to that success is dynamic, deep, and diverse machine learning for computer vision. That’s where synthetic data and environments come in.
AI.Reverie’s construction environments with dynamic scenario generation and automated annotations (2D bounding boxes and segmentation masks).