README.md

---
language:
- en
- zh
license: apache-2.0
task_categories:
- audio-classification
tags:
- signal-processing
- drone-detection
- drone-identification
- rf-signal
---

<h1 style="text-align:center;"> The RFUAV DATASET </h1>

This repository contains the RFUAV dataset, presented in the paper "[RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification](https://huggingface.co/papers/2503.09033)". 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](https://github.com/kitoweeknd/RFUAV).


## 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}, 
    }