1. A method comprising: generating synthesized training samples by applying one or more object-based transform models to original training samples; validating the one or more object-based transform models based on image processing accuracy for an object class, based on the synthesized training samples; and selecting one or more object-based transform models from the one or more validated object-based transform models, the selected object-based transform models having a satisfactorily increased image processing accuracy for the object class.