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

arXiv 2601.12533 ↗First posted 18 Jan 2026cs.CVcited by 0

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Abstract (arXiv)

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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References · 1

  1. 2020Drone LAMS: A Drone-based Face Detection Dataset with Large Angles and Many Scenarioscited by 1

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