Generation of high-fidelity signatures for AI/ML training database generation

Abstract

Many AI/ML training datasets used for military algorithm development lack the necessary diversity to span typical operating conditions. Typical workflows for augmenting datasets with synthetic data require cumbersome setups and slow runtimes. To address the need for rapid augmentation of datasets, DEVCOM AvMC has developed a suite of tools that can be independently modulated to allow for the rapid generation of diverse training data. This paper will outline the key products that allow this rapid generation capability and share results demonstrating the capability.