Mapping Rio de Janeiro's favelas: general-purpose vs. satellite-specific neural networks

Thomas Hallopeau, Joris Guérin, Laurent Demagistri, Youssef Fouzai, Renata Gracie +3 more
10/4/2025
cs.CVcs.LG

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Abstract

While deep learning methods for detecting informal settlements have already been developed, they have not yet fully utilized the potential offered by recent pretrained neural networks. We compare two types of pretrained neural networks for detecting the favelas of Rio de Janeiro: 1. Generic networks pretrained on large diverse datasets of unspecific images, 2. A specialized network pretrained on satellite imagery. While the latter is more specific to the target task, the former has been pretrained on significantly more images. Hence, this research investigates whether task specificity or data volume yields superior performance in urban informal settlement detection.

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Cite this paper

@article{hallopeau2025mapping,
  title  = {Mapping Rio de Janeiro's favelas: general-purpose vs. satellite-specific neural networks},
  author = {Thomas Hallopeau and Joris Guérin and Laurent Demagistri and Youssef Fouzai and Renata Gracie and Vanderlei Pascoal De Matos and Helen Gurgel and Nadine Dessay},
  year   = {2025},
  eprint = {2510.03725},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2510.03725v1}
}

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