ASPED

ASPED（Audio Sensing for PEdestrian Detection）是由佐治亚理工学院创建的大型音频数据集，专注于通过音频信号检测行人。该数据集包含约2,600小时的音频和3,406,229帧的视频数据，记录于校园内的多个地点。数据集的创建过程涉及使用高质量的音频和视频设备，确保数据的多样性和高质量。ASPED数据集的应用领域主要集中在智能城市设计和交通基础设施规划，旨在通过音频分析提高行人检测的准确性和效率，从而优化城市资源利用和服务交付。

ASPED (Audio Sensing for PEdestrian Detection) is a large-scale audio dataset created by the Georgia Institute of Technology, focusing on pedestrian detection via audio signals. This dataset contains approximately 2,600 hours of audio data and 3,406,229 frames of video data, recorded at multiple locations on campus. The development of the dataset utilized high-quality audio and video equipment to ensure data diversity and high quality. The main application areas of the ASPED dataset are smart city design and transportation infrastructure planning, aiming to enhance the accuracy and efficiency of pedestrian detection through audio analysis, thereby optimizing urban resource utilization and service delivery.