SIMPL-y speedy AI tuning

The human visual system takes only seconds to learn to identify new or modified objects, but it takes computer vision models months to years to do the same thing. Synthetic data promises to resolve this difference, but currently it still takes months to generate useful synthetic datasets even with significant amounts of compute. This time delay and resource requirement means that military units can not adapt their AI targeting and autonomous systems at the edge. We demonstrate that using our fully open source SIMPL data generation method that existing overhead detection and classification models for computer vision tasks can be fine tuned to adapt to and/or recognize novel targets in under 24 hours with minimal compute. This period includes generation of training data and model training/testing. This revolutionary jump in speed enables military units to adapt their targeting systems in the field and at the speed of relevance enabling them to remain effective in the face of a constantly changing adversary. We provide an ablation on the performance achievable in a 24-96 hour adaption period (e.g., standard military mission planning periods) based on available compute hardware: CPU