README.md

---
title: da_detection
app_file: src/main.py
sdk: gradio
sdk_version: 5.3.0
---
# Beirut Disadvantaged Areas Mapping
![image](cover.jpg)

![alt text](https://img.shields.io/badge/Status-Under%20Development-red)
![alt text](https://img.shields.io/badge/Version-0.1.0-blue)
![alt text](https://img.shields.io/badge/License-MIT-green)
![alt text](https://img.shields.io/badge/Institution-UN%20Habitat-blue)

## 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:
```bash
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/):
```bash
conda create -n DA_env python=3.10
conda activate DA_env
```
Finally, install the required packages using the following command:
```bash
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:
```bash
python main.py
```

## TODO

- [ ] Train model on data with different resolutions.
- [ ] Add a low resolution model.