BirdsEye-RU: A Dataset For Detecting Faces from Overhead Images

Md. Ahanaf Arif Khan, Ariful Islam, Sangeeta Biswas, Md. Iqbal Aziz Khan, Subrata Pramanik +2 more
1/18/2026
cs.CV
benchmark-dataset

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Abstract

Detecting faces in overhead images remains a significant challenge due to extreme scale variations and environmental clutter. To address this, we created the BirdsEye-RU dataset, a comprehensive collection of 2,978 images containing over eight thousand annotated faces. This dataset is specifically designed to capture small and distant faces across diverse environments, containing both drone images and smartphone-captured images from high altitude. We present a detailed description of the BirdsEye-RU dataset in this paper. We made our dataset freely available to the public, and it can be accessed at https://www.kaggle.com/datasets/mdahanafarifkhan/birdseye-ru.

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Cite this paper

@article{khan2026birdseyeru,
  title  = {BirdsEye-RU: A Dataset For Detecting Faces from Overhead Images},
  author = {Md. Ahanaf Arif Khan and Ariful Islam and Sangeeta Biswas and Md. Iqbal Aziz Khan and Subrata Pramanik and Sanjoy Kumar Chakravarty and Bimal Kumar Pramanik},
  year   = {2026},
  eprint = {2601.12533},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2601.12533v2}
}

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