miguelmendesduarte/Floating-Marine-Debris-Data

This repository contains data from Sentinel-2 imagery on floating marine debris, with annotations for six debris classes, including plastic, driftwood, seaweed, pumice, sea snot, and sea foam.

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This project provides a comprehensive dataset for environmental scientists and researchers working to combat marine pollution. It offers atmospherically corrected Sentinel-2 satellite imagery data, specifically annotated for various types of floating marine debris like plastic, driftwood, and seaweed. The data can be used to train and validate models for the automatic detection and classification of marine plastic debris.

No commits in the last 6 months.

Use this if you are developing or evaluating machine learning models to automatically identify and monitor floating marine debris using satellite imagery.

Not ideal if you require real-time, high-resolution aerial drone footage or in-situ observational data for marine debris.

marine-conservation remote-sensing environmental-monitoring oceanography pollution-detection
Stale 6m No Package No Dependents
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Adoption 7 / 25
Maturity 16 / 25
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Stars

33

Forks

8

Language

Python

License

CC-BY-4.0

Last pushed

Jul 07, 2023

Commits (30d)

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Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/miguelmendesduarte/Floating-Marine-Debris-Data"

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