Papers › MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data

MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data

7 Jan 2022Plos one journal 2022 1archive 2025-07-28

Katerina Kikaki, Ioannis Kakogeorgiou, Paraskevi Mikeli, Dionysios E. Raitsos, Konstantinos Karantzalos

Currently, a significant amount of research is focused on detecting Marine Debris and assessing its spectral behaviour via remote sensing, ultimately aiming at new operational monitoring solutions. Here, we introduce a Marine Debris Archive (MARIDA), as a benchmark dataset for developing and evaluating Machine Learning (ML) algorithms capable of detecting Marine Debris. MARIDA 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. We provide annotations (georeferenced polygons/ pixels) from verified plastic debris events in several geographical regions globally, during different seasons, years and sea state conditions. A detailed spectral and statistical analysis of the MARIDA dataset is presented along with well-established ML baselines for weakly supervised semantic segmentation and multi-label classification tasks. 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.

Paper PDF Code

Code

marine-debris/marine-debris.github.io pytorch report

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Tasks

Image Segmentation MUlTI-LABEL-ClASSIFICATION Multi-Label Classification Semantic Segmentation Weakly supervised Semantic Segmentation Weakly supervised segmentation Weakly-Supervised Semantic Segmentation

Datasets

Introduced by this paper, per the archive.

MARIDA

Results from the paper archive 2025-07-28

Task	Dataset	Model	Metric	Value	Rank at snapshot	Leaderboard	Report
Image Segmentation	MARIDA	UNet	F1	0.69	#2 of 2	Archive leaderboard	report
Image Segmentation	MARIDA	UNet	IoU	0.57	#2 of 2	Archive leaderboard	report

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