UAEMMN Dataset - Paper: Meteor detection and localization using YOLOv3 and YOLOv4

The dataset contains images of meteors and non-meteors collected from the United Arab Emirates Meteor Monitoring Network (UAEMMN) at the Sharjah Academy for Astronomy, Space Sciences, and Technology (SAASST). Established in September 2018 with initial funding from the UAE Space Agency, this project aims to enhance our understanding of meteor activity over the UAE.

Contents of the Dataset:

Meteor Images: This segment of the dataset encompasses a total of 7,400 images captured between 2018 and 2022. 

Non-Meteor Images: This section includes an equal number of non-meteor images (7,400), collected during 2021-2022.

Research Utilization: This dataset has been instrumental in advancing meteor detection and localization technologies, as evidenced by its utilization in the development and validation of YOLOv3 and YOLOv4 object detection models. The findings derived from these models are detailed in the published paper titled "Meteor Detection and Localization Using YOLOv3 and YOLOv4," which highlights significant enhancements in detection accuracy and localization precision.

Access and Use Information: The dataset is available for use by researchers and practitioners interested in the fields of astronomy, space sciences, and machine learning. Users are permitted to utilize this dataset for research, or practical applications, provided that any publications or presentations/posters including or derived from the data explicitly cite this dataset and the associated paper. Unauthorized use without proper citation is strictly prohibited.

本数据集收录了来自沙迦天文、空间科学与技术学院（Sharjah Academy for Astronomy, Space Sciences, and Technology, SAASST）下属的阿联酋流星监测网络（United Arab Emirates Meteor Monitoring Network, UAEMMN）的流星与非流星图像。该项目于2018年9月启动，初始资助来自阿联酋航天局，旨在加深我们对阿联酋境内流星活动的认知。

数据集内容：
流星图像：本数据集该板块包含2018年至2022年间采集的共计7400幅图像。
非流星图像：该板块收录了2021-2022年间采集的同等数量（7400幅）的非流星图像。

研究应用：本数据集为流星探测与定位技术的迭代升级提供了关键支撑，其已被用于YOLOv3与YOLOv4目标检测模型的开发与验证。基于上述模型得出的研究成果已发表于题为《基于YOLOv3与YOLOv4的流星探测与定位》的学术论文，该论文着重阐述了模型在探测准确率与定位精度上的显著提升。

访问与使用须知：本数据集面向天文学、空间科学及机器学习领域的研究人员与从业者开放。使用者可将本数据集用于科研或实际应用场景，但所有基于本数据集完成的学术论文、报告、展示或海报，均需明确标注本数据集及相关论文的引用信息。未经授权且未规范引用的使用行为均被严格禁止。