README.md

metadata

title: da_detection
app_file: src/main.py
sdk: gradio
sdk_version: 5.3.0

Beirut Disadvantaged Areas Mapping

Description

This project aims to map the disadvantaged areas in Beirut, Lebanon. The deployed model will be able to detect urban disadvantaged areas through HR and LR satellite imagery. The project is still under development.

Installation

First, clone the repository using the following command:

git clone https://github.com/auxiliary-ai/DA_detector.git

Then, create and activate your conda environment using the following commands (refer to the miniconda documentation https://docs.anaconda.com/free/miniconda/miniconda-install/):

conda create -n DA_env python=3.10
conda activate DA_env

Finally, install the required packages using the following command:

cd DA_detector
pip install -r requirements.txt

Remember to replace the path to the repository with the correct path on your machine.

Usage

To run the application, use the following command:

python main.py

TODO

• Train model on data with different resolutions.
• Add a low resolution model.