1. A method comprising: training, using a first process running on a computing device, a first classifier using a first set of training images relating to a categorical class of images, said first classifier being a type associated with said categorical class; selecting, using the first classifier on the computing device, a set of additional images from a source of additional images accessible to the computing device; merging, using the computing device, the first set of training images and the set of additional images to create a second set of training images; training, using a second process running on the computing device, a second classifier using the second set of training images, said second classifier being a type different from said first classifier and based upon a categorical class of said second set of training images, the first process and the second process being different classification methods that are based on the type of each classifier; classifying, using the computing device, a set of unclassified images using the second classifier thereby creating a set of classified images.