The RFUAV DATASET This repository contains the RFUAV dataset, presented in the paper "RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification". RFUAV provides approximately 1.3 TB of raw frequency data collected from 37 distinct UAVs, offering a comprehensive benchmark for radio frequency based drone detection and identification. The dataset addresses limitations of existing datasets by providing a diverse range of drone types, sufficient data volume, coverage across various signal to noise ratios (SNR), and open access evaluation tools. For detailed usage instructions, preprocessing methods, model evaluation tools, and code examples, please refer to the GitHub repository. Citation @misc{shi2025rfuavbenchmarkdatasetunmanned, title={RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification}, author={Rui Shi and Xiaodong Yu and Shengming Wang and Yijia Zhang and Lu Xu and Peng Pan and Chunlai Ma}, year={2025}, eprint={2503.09033}, archivePrefix={arXiv}, primaryClass={cs.RO}, url={https://arxiv.org/abs/2503.09033}, }
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