Multiscale annotation of still images with GAT

Abstract

This paper presents GAT, a Graphical Annotation Tool for still images that works both at the global and local scales. This interface has been designed to assist users in the annotation of images with relation to the semantic classes described in an ontology. Positive, negative and neutral labels can be assigned to both the whole images or parts of them. The user interface is capable of exploiting segmentation data to assist in the selection of objects. Moreover, the annotation capabilities are complemented with additional functionalities that allow the creation and evaluation of an image classifier. The implemented Java source code is published under a free software license.