Deep Learning for Earth Observation
Project description
Pytorch EO
Deep Learning for Earth Observation applications and research.
Installation
pip install pytorch-eo
Examples
Learn by doing with our examples.
- EuroSAT.
- UCMerced Land Use Dataset.
- BigEarthNet.
- SEN12FLOODs.
Tutorials
Learn how to build with Pytorch EO with our tutorials.
- Learn about data loading is Pytorch EO.
- Learn about data augmentation is Pytorch EO.
- Learn how to create datasets with Pytorch EO.
- Learn about training models with our tasks.
Challenges
PytorchEO has been used in the following challenges:
- EUROAVIA Mission: European Students Space Hackathon, 2021.
- On Cloud N: Cloud Cover Detection Challenge (DrivenData, 2021).
- Solar Panel Detection: Solar Panel Detection Using Sentinel-2 (Solafune, 2023).
Contributing
Read the CONTRIBUTING guide.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pytorch_eo-2024.5.3.tar.gz
(25.3 kB
view hashes)
Built Distribution
Close
Hashes for pytorch_eo-2024.5.3-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9a2e906edd4d20697b28a88fdea0a067dc398659bc31176f9fa2c5638c4cff53 |
|
MD5 | 1f10328db13e6987b2451356c844686c |
|
BLAKE2b-256 | 1a9482f5caa333f5af202a8cc209455a6236c7b944152bdc3a2656736a8c3c00 |