1. A method for training an arbitrated image classifier to identify objectionable content comprising: obtaining the arbitrated image classifier comprising a configuration of multiple classifiers and an arbitrator; receiving an image associated with a label; splitting the received image into a set of patches; matching each patch, from the set of patches, to one of the multiple classifiers; generating, by the matched classifiers, classification results, wherein individual ones of the classification results correspond to a patch from the set of patches; providing the classification results to an arbitrator; computing, by the arbitrator, an image classification, wherein the image classification is based on one or more of the classification results; determining that the image classification does not match the label; and in response to determining that the image classification does not match the label, updating parameters of the arbitrated image classifier.