2. The method of claim 1 , wherein the detecting one or more faces in one or more first digital images further comprises filtering the faces based on an image region size threshold associated with image regions detected as containing a face in the one or more first digital images.
1. A computer-implemented method, comprising: detecting one or more faces in one or more first digital images; identifying one or more named entities contained in text of a document that is associated with the one or more first digital images; for each particular named entity of the one or more named entities: sending, to a search engine, a query based on the particular named entity; and receiving, from the search engine, in response to execution of the query by the search engine, one or more second digital images; calculating a plurality of scores, wherein the plurality of scores includes a single score for each pairing of a set of pairings, wherein the set of pairings includes a pairing between each face of the one or more faces detected in the one or more first digital images and each named entity of the one or more named entities; wherein each score of the plurality of scores indicates a similarity between a particular face of the one or more faces and the one or more second digital images received from the search engine in response to execution of a query based on a particular named entity of the one or more named entities; storing, in a non-transitory storage medium, a mapping, based at least in part on the plurality of scores, between (1) each face of a subset of the faces detected in the one or more first digital images and (2) a particular named entity of the one or more named entities; and wherein the method is performed by one or more special-purpose computing devices.