Projects per year
Description
Underwater pipeline RGB images dataset recorded in the botom flor of a marina close to the north of Portugal by our partner OceanScan-MST using a lightweight autonomous underwater vehicle (LAUV). It contains videos, image frames, and annotation for pipeline segmentation.
This dataset is released together with the paper "Bridging the Sim-to-Real GAP for Underwater Image Segmentation", by Luiza Ribeiro Marnet, Stella Grasshof, Yury Brodskiy, and Andrzej Wasowski.
When using MarinaPipe, please reference the paper "Bridging the Sim-to-Real GAP for Underwater Image Segmentation" and acknowledge OceanScan-MST for collecting the data using the lightweight autonomous underwater vehicle (LAUV).
This dataset is released together with the paper "Bridging the Sim-to-Real GAP for Underwater Image Segmentation", by Luiza Ribeiro Marnet, Stella Grasshof, Yury Brodskiy, and Andrzej Wasowski.
When using MarinaPipe, please reference the paper "Bridging the Sim-to-Real GAP for Underwater Image Segmentation" and acknowledge OceanScan-MST for collecting the data using the lightweight autonomous underwater vehicle (LAUV).
| Date made available | 9 Apr 2024 |
|---|---|
| Publisher | ZENODO |
Projects
- 1 Active
-
REMARO: Reliable AI for Marine Robotics
Wasowski, A. (PI), Weihl, L. (CoI), Mohammadi Kashani, M. (CoI), Quijano, S. D. (CoI), Varshosaz, M. (CoI), Marnet, L. R. (CoI), Grasshof, S. (Collaborator) & Heinrich, S. (Collaborator)
01/12/2020 → 30/04/2025
Project: Research