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title: README
emoji: 📈
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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:
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}
}