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Automatic image annotation is an important and challengingtask when managing large image collections. This paper describestechniques for automatic image annotation by taking advantage of collaborativelyannotated image databases, so called visual folksonomies.Our approach applies two techniques based on image analysis: Classificationannotates images with a controlled vocabulary while tag propagationuses user generated, folksonomic annotations and is thereforecapable of dealing with an unlimited vocabulary. Experiments with apool of Flickr images demonstrate the high accuracy and efficiency ofthe proposed methods in the task of automatic image annotation.