Are clickthrough data reliable as image annotations
Theodora Tsikrika, Christos Diou, Arjen P. de Vries, Anastasios N. Delopoulos · 2009
We examine the reliability of clickthrough data as concept-based image annotations, by comparing them against manual annotations, for different concept categories. Our analysis shows that, for many concepts, the image annotations generated by using clickthrough data are reliable, with up to 90% of true positives in the automatically annotated images compared to the manual ground truth. Concept categories, though, do not provide additional evidence about the types of concepts for which clickthrough-based image annotation performs well.