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

• URL: http://arxiv.org/abs/2601.12533v2
• Date: Wed, 21 Jan 2026 03:24:02 GMT
• Title: BirdsEye-RU: A Dataset For Detecting Faces from Overhead Images
• Authors: Md. Ahanaf Arif Khan, Ariful Islam, Sangeeta Biswas, Md. Iqbal Aziz Khan, Subrata Pramanik, Sanjoy Kumar Chakravarty, Bimal Kumar Pramanik,
• Abstract summary: The BirdsEye-RU dataset is a collection of 2,978 images containing over eight thousand annotated faces.<n>This dataset is specifically designed to capture small and distant faces across diverse environments.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-sa/4.0/
• 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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