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designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
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. Analysis of images will investigate the efficacy of manual digital approaches (e.g., Dot Dot Goose) and the development of a marine litter characterisation and quantification algorithm for automated analysis
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, manage your own academic and administrative activities, adapt existing and develop new robotic methodologies, design and implement algorithms, deploy and test on hardware platforms, and analyse data from
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