1. A computer-implemented method performed by a computer system, the method comprising: for each object name of a plurality of object names: selecting a plurality of visual content items from a visual content repository, and associating, with the object name, a set of feature vectors by extracting a feature vector from each of the selected visual content items; and for each object name of the plurality of object names: performing consistency learning on the set of feature vectors associated with the object name until there is at least a minimum measure of similarity within the set of feature vectors associated with the object name, and storing, as the classification model for the object name, the set of feature vectors associated with the object name.