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Drone Sound Audio Detection Dataset
This dataset contains audio recordings of two categories: unknown and drones. It is designed for binary audio classification tasks to detect drone sounds in real-world environments. The audio files in this dataset are provided in standard formats (such as WAV), suitable for preprocessing techniques such as Mel spectrogram extraction, MFCC feature extraction, short-time Fourier transform (STFT), and deep learning models of the raw waveforms.
Dataset composition:
- Drones: Audio recordings containing the sounds of unmanned aerial vehicles (UAVs). These files include information such as drone type, distance, speed, altitude, and variations in background ambient noise.
- Unknown: Audio recordings that do not contain drone sounds. This category may contain ambient noise, human activity sounds, vehicle sounds, animal sounds, wind sounds, or other background noise.
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