metadata

license: cc-by-4.0
sdk: streamlit
sdk_version: 1.25.0
colorFrom: blue
pinned: false
title: Biomap
emoji: 🐢
colorTo: green
app_file: biomap/streamlit_app.py

Welcome to the project inno-satellite-images-segmentation-gan

Project name: inno-satellite-images-segmentation-gan
Library name: library
Authors: Ekimetrics
Description: Segmenting satellite images in a large scale is challenging because grondtruth labels are spurious for medium resolution images (Sentinel 2). We want to improve our algorithm either with data augmentation from a GAN, or to correct or adjust Corine labels.

Project Structure

- library/ # Your python library
- data/
    - raw/
    - processed/
- docs/
- tests/                            # Where goes each unitary test in your folder
- scripts/                          # Where each automation script will go
- requirements.txt                  # Where you should put the libraries version used in your library

Branch strategy

TBD

Ethics checklist

TBD

Starter package

This project has been created using the Ekimetrics Python Starter Package to enforce best coding practices, reusability and industrialization.
If you have any questions please reach out to the inno team and Théo Alves Da Costa