SatSim: a synthetic data generation engine for electro-optical imagery of resident space objects

The application of machine learning to a task often necessitates the production of synthetic training data. Some tasks involve rare, but important, scenarios that may not yet have been observed; others are difficult to collect or annotate in large volumes. These difficulties are particularly acute i... View More