---
title: README
emoji: 📈
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colorTo: yellow
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---

QCAI-HumAI-DisplacementMonitoring hosts datasets, models, and tools developed for AI-assisted displacement monitoring using satellite imagery. The resources support vehicle detection, geospatial analysis, and humanitarian applications, including the VME and CDSI datasets and associated training and inference models.

## Repositories:
[VME, CDSI dataset & benchmark](https://github.com/nalemadi/VME_CDSI_dataset_benchmark)

[Syria-IDP-Car-Counts](https://github.com/nalemadi/Syria-IDP-Car-Counts)

## Our Papers: 
```
@article{al-emadi_vme_2025,
    title = {{VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond}},
    volume = {12},
    issn = {2052-4463},
    url = {https://doi.org/10.1038/s41597-025-04567-y},
    doi = {10.1038/s41597-025-04567-y},
    pages = {500},
    number = {1},
    journal = {Scientific Data},
    author = {Al-Emadi, Noora and Weber, Ingmar and Yang, Yin and Ofli, Ferda},
    date = {2025-03-25},
    publisher={Spring Nature},
    year={2025}
}
```

```
@article{al2025ai,
  title={AI-Driven Disaster Response and Displacement Monitoring},
  author={Al-Emadi, Noora and Imran, Muhammad and Yang, Yin and Weber, Ingmar and Lashi, Fabjan and Rigodanza, Gaia and Haj{\v{z}}manov{\'a}, Ivana and Ofli, Ferda},
  journal={Communications of the ACM},
  volume={68},
  number={10},
  pages={66--71},
  year={2025},
  publisher={ACM New York, NY, USA}
}
```