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 this https URL.
Abstract (translated)
在顶视图图像中检测人脸仍然是一个重大挑战，原因在于极端的尺度变化和环境杂乱。为了解决这一问题，我们创建了BirdsEye-RU数据集，这是一个包含2978张图片的数据集，其中标注有超过八千个面部。该数据集特别设计用于捕捉不同环境中微小且遥远的人脸，包括无人机拍摄的图像以及从高处用智能手机捕获的照片。本文详细介绍了BirdsEye-RU数据集。我们已将此数据集免费提供给公众使用，并可通过以下链接访问：[请在此插入实际URL]。
URL
https://arxiv.org/abs/2601.12533
