Hello! I am training my own classification system for very specific objects for my job project. Me and colleagues have gathered our own picture dataset. But we have a significant class imbalance: there are several thousand images in some classes, but three of them include less than a percent of the full dataset. Our model works well with large classes, but what can we do to achieve sufficient performance for the smallest classes?