构建首个高空俯拍人脸检测数据集，支持小尺寸远距离人脸识别研究。
BirdsEye-RU: A Dataset For Detecting Faces from Overhead Images
- 收集2978张高空图像，涵盖无人机与高空手机拍摄的多种环境。
- 标注超8000个面部，覆盖极端尺度变化和复杂背景干扰。
- 公开数据集，助力遥感与安防领域的人脸检测算法开发。
由于尺度差异极大及环境杂乱，高空图像中的人脸检测仍是重大挑战。为此，我们构建了BirdsEye-RU数据集，包含2,978张图像和超过8,000个标注人脸。该数据集专为捕捉不同环境中微小且遥远的人脸而设计，涵盖无人机与高海拔智能手机拍摄的图像。本文详细描述了BirdsEye-RU数据集，并已将其免费公开，可通过https://www.kaggle.com/datasets/mdahanafarifkhan/birdseye-ru获取。
原文摘要 · Abstract (English)
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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