17. In a digital medium environment to improve image font recognition through use of text localization, a system comprising: means for obtaining a model that is trained using machine learning having a loss function that includes a permissible margin of a difference between positive and negative images as applied to a plurality of training images including: an anchor image having text rendered using a corresponding font; the positive image having text that is different than the text of the anchor image or text having one or more applied perturbations; and the negative image having text that is not in the font type means for predicting a bounding box, automatically and without user intervention, for text in an image received using the obtained model; and means for generating an indication of the predicted bounding box by the one or more computing devices, the indication usable to specify a region of the image that includes the text having a font to be recognized.
19. The system as described in claim 17 , wherein the predicting means includes means for forming a plurality of cropped portions of the image and processing each of the plurality of cropped portions of the image by a trained convolutional network of the model independently, one to another.