19. A system for image classification into a plurality of categories, comprising: means for, performing machine learning on a learning set of images; means for, generating a model based on the machine learning of the learning set of images; means for, determining an accuracy metric of the model using a verification set of images as one or more parameters in the model; and means for, generating a set of probability values; wherein each of the probability value of the set of probability values is generated for a pair of categories based on the accuracy metric.
20. The system of claim 19 , further comprising, means for, selecting the learning set of images and the verification set of images.