Abstract
Combining state-of-the art digital imaging technology with different kinds of marine exploration techniques such as modern AUV (autonomous underwater vehicle), ROV (remote operating vehicle) or other monitoring platforms enables marine imaging on new spatial and/or temporal scales. A comprehensive interpretation of such image collections requires the detection, classification and quantification of objects of interest in the images usually performed by domain experts. However, the data volume and the rich content of the images makes the support by software tools inevitable. We define some requirements for marine image annotation and present our new online tool Biigle 2.0. It is developed with a special focus on annotating benthic fauna in marine image collections with tools customized to increase efficiency and effectiveness in the manual annotation process. The software architecture of the system is described and the special features of Biigle 2.0 are illustrated with different use-cases and future developments are discussed.
Highlights
Specialty section: This article was submitted to Deep-Sea Environments and Ecology, a section of the journal Frontiers in Marine Science
Readers were directed to the link “https://dias.cebitec. uni-bielefeld.de/” for the web application that was presented in the original article
A correction has been made to Section 1 (Introduction), last paragraph: In this paper we present a new version of our early proposed system BIIGLE (Ontrup et al, 2009), which was introduced 8 years ago with a primary focus on collecting annotations to train machine learning algorithms
Summary
Specialty section: This article was submitted to Deep-Sea Environments and Ecology, a section of the journal Frontiers in Marine Science. 1 Biodata Mining Group, Faculty of Technology, Bielefeld University, Bielefeld, Germany, 2 Deep Sea Monitoring Group, Marine Geosystems, GEOMAR Helmholtz Centre for Ocean Research, Kiel, Germany A Corrigendum on BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections by Langenkämper, D., Zurowietz, M., Schoening, T., and Nattkemper, T.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
