Automatically annotating the MIR Flickr dataset
Jonathon S. Hare, Paul H. Lewis · 2010
The availability of a large, freely redistributable set of high-quality annotated images is critical to allowing researchers in the area of automatic annotation, generic object recognition and concept detection to compare results. The recent introduction of the MIR Flickr dataset allows researchers such access. A dataset by itself is not enough, and a set of repeatable guidelines for performing evaluations that are comparable is required. In many cases it also is useful to compare the machine-learning components of different automatic annotation techniques using a common set of image features.