Image aesthetic assessment has been a trending topic in the research
field of multimedia information retrieval. Crowdsourcing can be an
efficient approach for collecting manual assessment results to
construct an image dataset associated with aesthetic scores. This
study explores a strategy for setting worker qualifications to
participate in an image-aesthetic-assessment task. Our current
experiments based on the AVA dataset indicated that the target
subjective task requires highly experienced workers to produce ratings
similar to photographers' ones.