10. A method of classifying an image, comprising: for two or more portions of a set of images of known classification, classifying members of each portion using a particular classifier engine in response to a set of metrics for each member of each portion; selecting a portion of the set of images whose classifications satisfy a first criteria; classifying members of the selected portion of the set of images using two or more classifier engines in response to the set of metrics; selecting a classifier engine whose classification of the selected portion of the set of images satisfies a second criteria; and classifying the image using the selected classifier engine in response to the set of metrics.
10. A method of classifying an image, comprising: for two or more portions of a set of images of known classification, classifying members of each portion using a particular classifier engine in response to a set of metrics for each member of each portion; selecting a portion of the set of images whose classifications satisfy a first criteria; classifying members of the selected portion of the set of images using two or more classifier engines in response to the set of metrics; selecting a classifier engine whose classification of the selected portion of the set of images satisfies a second criteria; and classifying the image using the selected classifier engine in response to the set of metrics. 12. The method of claim 10 , further comprising generating the set of images of known classification from images of product packaging deemed to be authentic and images of product packaging deemed to be counterfeit.