Published January 27, 2022
| Version 0.01
Dataset
Open
Outputs of the Jupyter Notebook - Detecting floating objects using Deep Learning and Sentinel-2 imagery
Authors/Creators
Description
The dataset contains the outputs of the notebook "Detecting floating objects using Deep Learning and Sentinel-2 imagery" published in the ocean modelling section of The Environmental Data Science Book.
Contributions
Notebook
-
Jamila Mifdal (author), European Space Agency Φ-lab, @jmifdal
-
Raquel Carmo (author), European Space Agency Φ-lab, @raquelcarmo
-
Alejandro Coca-Castro (reviewer), The Alan Turing Institute, @acocac
Modelling codebase
-
Jamila Mifdal (author), European Space Agency Φ-lab, @jmifdal
-
Raquel Carmo (author), European Space Agency Φ-lab, @raquelcarmo
-
Marc Rußwurm (author), EPFL-ECEO, @marccoru
Files
predicted_cancun.tif
Files
(176.4 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:7657de9d0e808964e2d1b9db4920768b
|
73.2 MB | Download |
|
md5:360404d9ce0354629fda57e87dbaf4cc
|
1.9 MB | Preview Download |
|
md5:0c3a2947cb2e6b28b74a1503e284fee6
|
9.3 kB | Preview Download |
|
md5:655a956bb2bc01c3ff8c7e02236b34bd
|
100.3 MB | Preview Download |
|
md5:f461391fbfae9466091341d5b47e6d31
|
1.0 MB | Preview Download |