8. The method as described in claim 1 , further comprising training the model by the one or more computing devices using the machine learning.
8. The method as described in claim 1 , further comprising training the model by the one or more computing devices using the machine learning. 9. The method as described in claim 8 , wherein the training is performed for at least one of the plurality of iterations using the plurality of training images having text rendered using the corresponding font and performed for one or more subsequent ones of the plurality of iterations in which one or more perturbations are introduced to the training images.