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

Matthew Rigney; Brad Seal; Chris Porter

doi:10.1117/12.2663906

29 June 2023 Generation of high-fidelity signatures for AI/ML training database generation

Matthew Rigney, Brad Seal, Chris Porter

Author Affiliations +

Proceedings Volume 12529, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications; 125290Q (2023) https://doi.org/10.1117/12.2663906
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

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.

Conference Presentation

Citation Download Citation

Matthew Rigney, Brad Seal, and Chris Porter "Generation of high-fidelity signatures for AI/ML training database generation", Proc. SPIE 12529, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications, 125290Q (29 June 2023); https://doi.org/10.1117/12.2663906

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