公开8000+条真实枪声数据，助力枪械口径分类研究
Descriptor: Certus Caliber Classification Gunshot Dataset (C3GD)
- 采集28种枪支、16种口径的真实枪声，覆盖多种麦克风位置
- 包含超8000条野外实测数据，显著降低网络音频带来的噪声风险
- 适合从事枪声识别、信号处理与军事/安防场景应用的研究者
本文提出公开的Certus Caliber Classification Gunshot Dataset（C3GD），用于分析枪口爆鸣声。该数据集涵盖28种枪支、16种口径，收集超过8000条野外实测音频数据，包含详细的设备与环境元信息，远超现有公开数据集。由于野外采集成本高，以往研究多依赖网络音频，存在质量差、标签噪声等问题。C3GD以口径分类为核心目标，亦可用于枪声检测、音频分离与信号处理，兼具多样性与真实场景代表性，支持模型泛化与深入学术分析。
原文摘要 · Abstract (English)
In this work, we introduce the Certus Caliber Classification Gunshot Dataset (C3GD), a publicly accessible data set developed for the analysis of firearm muzzle blast sounds. The dataset aims to provide a wide variety of firearms, calibers, cartridges, microphones, and microphone locations with metadata detailed beyond what is currently otherwise available. It comprises more than 8000 field-collected data points from 28 firearms across 16 calibers. Because data collection in the field is costly, much of the existing research has been done using gunshot audio collected from the internet, which increases the risk of low-quality data and label noise. This dataset is primarily focused on caliber classification, but can also be used for gunshot detection, audio separation, and audio signal processing, providing a diversified and real-world reference. The dataset aims to provide enough diversity to be able to generalize to more real-world applications while also providing enough metadata for detailed academic analysis.
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