1. A computer-implemented method comprising: calculating, by a computing system, raw scores for a plurality of media items based on a classifier model and a target concept; associating, by the computing system, each media item of the plurality of media items with a content depiction determination indicative of whether the media item depicts the target concept; and calculating, by the computing system, normalized scores for the plurality of media items based on the raw scores and the content depiction determinations, wherein, for each media item of the plurality of media items, the normalized score is associated with the target concept and is indicative of a likelihood that the media item depicts the target concept.
1. A computer-implemented method comprising: calculating, by a computing system, raw scores for a plurality of media items based on a classifier model and a target concept; associating, by the computing system, each media item of the plurality of media items with a content depiction determination indicative of whether the media item depicts the target concept; and calculating, by the computing system, normalized scores for the plurality of media items based on the raw scores and the content depiction determinations, wherein, for each media item of the plurality of media items, the normalized score is associated with the target concept and is indicative of a likelihood that the media item depicts the target concept. 2. The computer-implemented method of claim 1 , wherein the calculating normalized scores for the plurality of media items comprises calculating a normalized score formula based on the raw scores and the content depiction determinations.