kitoweeknd/RFUAV
This is official repository of our paper "RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification". Codes include a two stage model to achieve drone detection and classification using some FFT/STFT analytical method. The Raw data will be free to use after our paper is accept. Star us!!!!, if you think this is useful♥
This project offers a comprehensive dataset of drone radio-frequency (RF) signals, along with tools to analyze and identify different drone types. It takes raw RF signal data from various drones and outputs processed spectrograms, videos, and classification results. Researchers and engineers working with RF signal analysis for drone detection will find this useful for developing and testing their own drone identification systems.
360 stars.
Use this if you need a benchmark dataset and tools to develop or evaluate methods for detecting and identifying drones based on their radio-frequency emissions.
Not ideal if you are looking for a ready-to-deploy, real-time drone detection system for operational use, as this is primarily a research and development resource.
Stars
360
Forks
55
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 09, 2025
Commits (30d)
0
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