In this paper, we describe the LIA system proposed for the MediaEval 2013 Crowdsourcing for Social Multimedia task. The aim is to associate an accurate label to an image among multiple noisy labels collected from a crowdsourcing platform. In particular, the task participants have to predict two types of binary labels for each considered image. The first one mentions that an image is truly fashion-related or not, while the second label indicates that the fashion tag assigned to the image is related to the content of the image or not. The proposed system combines noisy crowdsourcing labels, image metadata and external resources.