Detecting floating objects using deep learning and Sentinel-2 imagery
How to run¶
Running on Binder¶
The notebook is designed to be launched from Binder.
Click the Launch Binder button at the top level of the repository
Running locally¶
You may also download the notebook from GitHub to run it locally:
Open your terminal
Check your conda install with
conda --version
. If you don’t have conda, install it by following these instructions (see here)Clone the repository
git clone https://github.com/eds-book-gallery/b34facfa-cea8-48f5-89f6-f11ce00812a9.git
Move into the cloned repository
cd b34facfa-cea8-48f5-89f6-f11ce00812a9
Create and activate your environment from the
.binder/environment.yml
fileconda env create -f .binder/environment.yml conda activate b34facfa-cea8-48f5-89f6-f11ce00812a9
Launch the jupyter interface of your preference, notebook,
jupyter notebook
or labjupyter lab
- Mifdal, J., & Carmo, R. (2025). Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book. Zenodo. 10.5281/ZENODO.8308843