FBD-SV-2024

The Flying Bird object Dataset in Surveillance Video (FBD-SV-2024) for surveillance video flying bird object detection algorithm development and performance evaluation.<br>The FBD-SV-2024 comprises 483 video clips, totaling 28,694 frames of images. Among these frames, 23,833 frames contain a total of 28,366 instances of flying birds.<br>Visit the GitHub repository for more data processing scripts: https://github.com/Ziwei89/FBD-SV-2024_githubTraining set: 400 video clips, totaling 23,979 frames of images.<br>Testing set: 83 video clips, totaling 4,715 frames of images.Due to the large size of image data, no images have been uploaded, but relevant Python scripts are provided. These scripts can be run to extract frames from the videos. See the readme_English.txt for more information.Please refer to the paper related to this dataset for more description of the characteristics of this dataset. The link of the paper : https://arxiv.org/abs/2409.00317<br>Please refer to the paper if the dataset is useful for your work:<br>@misc{sun2024fbdsv2024,<br>title={FBD-SV-2024: Flying Bird Object Detection Dataset in Surveillance Video},<br>author={Zi-Wei Sun and Ze-Xi Hua and Heng-Chao Li and Zhi-Peng Qi and Xiang Li and Yan Li and Jin-Chi Zhang},<br>year={2024},<br>eprint={2409.00317},<br>archivePrefix={arXiv},<br>primaryClass={cs.CV}<br>}Note: This dataset is for learning and research purposes only, not for commercial use.

监控视频飞鸟目标数据集（Flying Bird object Dataset in Surveillance Video，缩写FBD-SV-2024），专用于监控场景下飞鸟目标检测算法的研发与性能评估。该数据集共包含483个视频片段，总计28694帧图像，其中23833帧图像内共计存在28366个飞鸟目标实例。
如需获取更多数据处理脚本，请访问GitHub仓库：https://github.com/Ziwei89/FBD-SV-2024_github。本数据集的训练集包含400个视频片段，总计23979帧图像；测试集包含83个视频片段，总计4715帧图像。
由于图像数据体量较大，本数据集未上传原始图像，但提供了配套的Python脚本，可通过运行这些脚本从原始视频中提取帧图像。更多细节请参阅readme_English.txt文件。
如需了解该数据集更多特性细节，请参阅相关学术论文，论文链接：https://arxiv.org/abs/2409.00317。
若本数据集对你的研究工作有所帮助，请引用该论文，引用格式如下：
@misc{sun2024fbdsv2024,
title={FBD-SV-2024: Flying Bird Object Detection Dataset in Surveillance Video},
author={Zi-Wei Sun and Ze-Xi Hua and Heng-Chao Li and Zhi-Peng Qi and Xiang Li and Yan Li and Jin-Chi Zhang},
year={2024},
eprint={2409.00317},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
注意：本数据集仅可用于学习与研究用途，严禁用于商业用途。

搜集汇总

背景与挑战

背景概述

FBD-SV-2024是一个专注于监控视频中飞鸟目标检测的数据集，包含大量标注的飞鸟实例，适用于计算机视觉和深度学习研究。数据集提供了详细的训练和测试划分，并附带处理脚本，方便研究者使用。