Abstract
Efficient tools and frameworks for image and video annotation become more necessary for pattern recognition and computer vision research as datasets for training and testing of algorithms get increasingly larger. Different software packages have been developed to deal with these tasks, but they are usually designed for specific demands, problems or are not open to the public. This paper presents an open source multipurpose tool for annotation on multimedia datasets with extended flexibility through customizable labels, option of working on a shared database for collaborative annotation and with special care given on usability and efficiency for the best user experience. The Annotation Tool is available in the following link: www.thi.de/go/thi-labeling-tool.
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da Silva, J.L., Tabata, A.N., Broto, L.C., Cocron, M.P., Zimmer, A., Brandmeier, T. (2020). Open Source Multipurpose Multimedia Annotation Tool. In: Campilho, A., Karray, F., Wang, Z. (eds) Image Analysis and Recognition. ICIAR 2020. Lecture Notes in Computer Science(), vol 12131. Springer, Cham. https://doi.org/10.1007/978-3-030-50347-5_31
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