1. A method, comprising: identifying a plurality of data sets, each data set of the plurality of data sets associated with a distribution model and each data set of the plurality of data sets associated with an image having a first noise level; partitioning the data sets into a plurality of groups; annotating each group of the plurality of groups; receiving an input data set; determining which group is a closest match to each input data set; and annotating the input data set according to the group having the closest match, wherein at least one method operation is executed through a processor.