1. A method comprising: receiving, at a computing device, a request for a set of canonical digital images of an entity; generating, via the computing device, a number of digital image search result sets, the search result set generation comprising querying a number of digital image data stores using a number of queries, each query comprising a number of search terms; selecting, via the computing device, a plurality of candidate digital images from the number of digital image search result sets, the plurality of candidate digital images being selected using a relevancy score associated with each candidate digital image of the plurality; analyzing, via the computing device, each candidate digital image to detect an object of a type corresponding to an object type of the entity and to detect a number of fiducial points of, the object type, in the detected object; determining, via the computing device, an n-dimensional feature vector for a candidate digital image of the plurality using data of pixels corresponding to the number of fiducial points of the object detected in the candidate digital image, the feature vector determination being performed for each candidate digital image of the plurality to determine a plurality of feature vectors; forming, via the computing device, a plurality of clusters using the plurality of feature vectors, each cluster of the plurality comprising a number of feature vectors, each feature vector in each cluster corresponding to a candidate digital image of the plurality; and selecting, via the computing device, a set of candidate digital images for the set of canonical digital images using a number of clusters of the plurality, the candidate digital image selection comprising determining, for each candidate digital image with a corresponding feature vector belonging to a cluster of the number of clusters, a measure of quality based on at least one consideration of quality, each candidate digital image of the set of candidate digital images having a higher measure of quality relative to the measure of quality associated with each unselected candidate digital image.