The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/4f1dff25-e157-4399-a5d4-478055461689

Đuraš, Antun; Ilioudi, Athina; Wolf, Ben; Palunko, Ivana; De Schutter, Bart (2024): Seaclear Marine Debris Detection & Segmentation Dataset. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/4f1dff25-e157-4399-a5d4-478055461689.v1

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Categories

• Artificial Intelligence and Image Processing
• Ecological Applications
• Maritime Engineering
• Engineering
• Information and Computing Sciences
• Environmental Sciences

Keywords

instance segmentation marine debris marine litter object detection Seaclear shallow waters underwater debris

Time coverage

2019-2022

Licence

CC BY 4.0

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by Antun Đuraš , Athina Ilioudi , Ben Wolf , Ivana Palunko , Bart De Schutter

Seaclear Marine Debris Dataset contains 8610 images of marine litter annotated for tasks of object detection and instance segmentation with 40 object categories, encompassing not only litter but also observed animals, plants, and robot parts. Data was captured using ROVs during field experiments related to Seaclear project and thus includes images from multiple locations:

• Bistrina, Croatia
• Jakljan, Croatia
• Lokrum, Croatia
• Slano, Croatia
• Marseille, France

Annotations are available as a COCO format (.json) file, and the images are arranged in folders, each dedicated to a unique site-camera pair. All images are resized to 1920x1080 resolution.

History

• 2024-01-08 first online, published, posted

Publisher

4TU.ResearchData

Format

image/jpeg

Funding

• SEarch, identificAtion and Collection of marine Litter with Autonomous Robots (SeaClear) (grant code 871295) [more info...] European Union’s Horizon 2020 Research and Innovation Programme

Organizations

Laboratory for Intelligent Autonomous Systems (LARIAT), Department of Electrical Engineering and Computing, University of Dubrovnik

Delft Center for Systems and Control, Delft University of Technology