MARIDA

Marine Debris Archive

Dataset Information
Modalities
Images
Languages
English
Introduced
2022
Homepage

Overview

MARIDA (Marine Debris Archive) is the first dataset based on the multispectral Sentinel-2 (S2) satellite data, which distinguishes Marine Debris from various marine features that co-exist, including Sargassum macroalgae, Ships, Natural Organic Material, Waves, Wakes, Foam, dissimilar water types (i.e., Clear, Turbid Water, Sediment-Laden Water, Shallow Water), and Clouds. MARIDA is an open-access dataset which enables the research community to explore the spectral behaviour of certain floating materials, sea state features and water types, to develop and evaluate Marine Debris detection solutions based on artificial intelligence and deep learning architectures, as well as satellite pre-processing pipelines. Although it is designed to be beneficial for several machine learning tasks, it primarily aims to benchmark weakly supervised pixel-level semantic segmentation learning methods.

MARIDA can be downloaded from the repository Zenodo (https://doi.org/10.5281/zenodo.5151941). A quick start guide for all ML benchmarks and the detailed overview of the dataset are available at https://marine-debris.github.io/.

Variants: MARIDA

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Image Segmentation ResAttUNet ResAttUNet: Detecting Marine Debris using … 2022-10-16

Research Papers

Recent papers with results on this dataset: