Uncrewed Aircraft Detection from YAMNET Embedding Dataset

This dataset is the main dataset used by the UA Detection Team here at Embry-Riddle Aeronautical University. It provides the ability to conduct binary drone/no drone classification as well as specific drone sub-type classifcation. Dataset is gathered from field data from drones flown by the Unavail research team. Each clip of audio is fed through YAMNET to generate points in an embedding space. The no_drone directory contains various sounds from ambient noise to cars and jets. drone contains samples from the DJI Matrice M100, the Mavic 3, and the Mavic Mini 2. There are 9108 samples total across all the directories. Each .tfdata segment represents a single second of audio.

搜集汇总

背景与挑战

背景概述

该数据集用于无人机检测，支持二元分类（无人机/非无人机）和特定无人机子类型分类，基于实地采集的音频数据通过YAMNET生成嵌入特征，包含9108个一秒音频样本，涵盖多种无人机型号和环境噪声。