METHODS, SYSTEMS, AND PROGRAMMING FOR ANNOTATING AN IMAGE INCLUDING SCORING USING A PLURALITY OF TRAINED CLASSIFIERS CORRESPONDING TO A PLURALITY OF CLUSTERED IMAGE GROUPS ASSOCIATED WITH A SET OF WEIGHTED LABELS.

Methods, systems, and articles of manufacture for annotating of an image are disclosed. These include scoring the image using a plurality of trained classifiers, wherein each of the trained classifiers corresponds to at least one of a plurality of image groups clustered based upon image similarity, and wherein each image group is associated with a set of weighted labels; selecting one or more of the image groups based upon the scoring; aggregating one or more sets of weighted labels associated with the selected one or more image groups; and annotating the image using the aggregated one or more sets of weighted labels.