The purpose of this paper is to outline efforts from the 2004 CLEF cross–language image retrieval campaign (ImageCLEF). The aim of this CLEF track is to explore the use of both text and content–based retrieval methods for cross–language image retrieval. Three tasks were offered in the ImageCLEF track: a TREC–style ad-hoc retrieval task, retrieval from a medical collection, and a user–centered (interactive) evaluation task. Eighteen research groups from a variety of backgrounds and nationalities participated in ImageCLEF. In this paper we describe the ImageCLEF tasks, submissions from participating groups and summarise the main findings.