Argo: Towards Small Vessel Detection for Humanitarian Purposes

Elisabeth Moser; Selina Meyer; Maximilian Schmidhuber; Daniel Ketterer; Matthias Eberhardt

IJCAI 2022poster0 citations

Argo: Towards Small Vessel Detection for Humanitarian Purposes

Elisabeth Moser, Selina Meyer, Maximilian Schmidhuber, Daniel Ketterer, Matthias Eberhardt

Abstract

Refugees trying to get to Europe via the Mediterranean often face human rights violations. The present situation is not in line with the UN's SDG's 10 and 16. We present Argo: a semi-automatically created vessel classification dataset focused on small boats, with the aim to enable NGOs and the public to detect refugee boats in satellite imagery. We achieve a classification recall of 91% on small ships. With a tool developed on top of the results presented here, NGOs could collect information and hold institutions participating in illegal activities accountable.

Multidisciplinary Topics and Applications: Sustainable Development GoalsAI Ethics, Trust, Fairness: Societal Impact of AI

BibTeX

@inproceedings{ijcai2022p728,
  title     = {Argo: Towards Small Vessel Detection for Humanitarian Purposes},
  author    = {Moser, Elisabeth and Meyer, Selina and Schmidhuber, Maximilian and Ketterer, Daniel and Eberhardt, Matthias},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on
               Artificial Intelligence, {IJCAI-22}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Lud De Raedt},
  pages     = {5245--5248},
  year      = {2022},
  month     = {7},
  note      = {AI for Good - Demos},
  doi       = {10.24963/ijcai.2022/728},
  url       = {https://doi.org/10.24963/ijcai.2022/728},
}