1. A method, comprising: analyzing at least a portion of each photograph in a group of photographs with triage filters of an auto-triage service, said analyzing based at least in part on metadata that is generated when each photograph is taken; identifying deficient photographs in the group of photographs; removing the deficient photographs from the group of photographs; inferring auto-triage assessments from the deficient photographs to learn preferences for said identifying and removing additional auto-triaged deficient photographs; and determining a user threshold of acceptable photographs based on either one or more of the deficient photographs that are subsequently identified as user-approved photographs, or one or more triage-approved photographs that are subsequently identified as user-removed photographs.