Treffer: Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book

Title:
Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book
Authors:
Mifdal, Jamila, orcid:0000-0002-9480-, Carmo, Raquel
Publisher Information:
Zenodo
Publication Year:
2025
Collection:
Zenodo
Subject Terms:
Oceans, Modelling, Standard, Python
Document Type:
E-Ressource software
Language:
unknown
Relation:
https://github.com/eds-book/b34facfa-cea8-48f5-89f6-f11ce00812a9/tree/v2025.6.0; https://zenodo.org/records/15706997; oai:zenodo.org:15706997; https://doi.org/10.5281/zenodo.15706997
DOI:
10.5281/zenodo.15706997
Availability:
https://doi.org/10.5281/zenodo.15706997
https://zenodo.org/records/15706997
Rights:
MIT License ; mit ; https://opensource.org/licenses/MIT
Accession Number:
edsbas.7FFDDAF2
Database:
BASE

Weitere Informationen

Notebook developed to demonstrate the use of deep neural networks for the detection of floating objects on Sentinel-2 data. ; Please cite the following works when using this project.