The MaCVi initiative originated from the 1st Workshop on Maritime Computer Vision that took place during WACV 2023. After a successfuly workshop with very positive feedback, we decided to take the journey one step further. Instead of segregated research pages with scattered information, we thought it would be nice to fuse the interests of different researchers in the maritime domain to allows for more transfer learning between maritime domains. Researchers from the University of Tuebingen and University of Ljubljana teamed up to provide a pool of knowledge and events related to the maritime domain.
The SeaDronesSee benchmark initiated from the
Avalon project. The project's goal is to develop an unmanned aerial vehicle to assist in humanitarian Search and Rescue scenarios. In order to search for people on sea,
robust computer vision systems need to be developed. The lack of data sets motivated this benchmark and aims to open the field to the vast deep learning research.
The original version of this webpage (https://seadronessee.cs.uni-tuebingen.de/) was developed as part of a team project at University of Tuebingen. In a Scrum setting 9 developers and 2 product owners created this page within a semester fully online during the Covid-19 pandemic. The supervisors were Benjamin Kiefer and Martin Meßmer. Feel free to contact any one of us if you have questions via prename.surname@uni-tuebingen.de.
