byungkwankim/WASD
收藏Hugging Face2025-09-20 更新2025-10-25 收录
下载链接：
https://hf-mirror.com/datasets/byungkwankim/WASD
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资源简介：
WASD (无线异常信号数据集) 是为固定城市场景中的无线信号异常检测而设计的。它结合了19个LTE和5G频段的真实世界信号测量数据和模拟的异常信号。这个数据集适合于训练各种目标检测网络，并开发能够在现实世界环境中准确和高效地进行异常检测的鲁棒深度学习模型。
WASD (Wireless Anomaly Signal Dataset) is designed for anomaly signal detection in wireless signals within fixed urban scenarios. It combines real-world signal data measured across 19 LTE and 5G bands with simulated anomalous signals. This dataset is suitable for training various object detection networks and developing robust deep learning models for accurate and efficient anomaly detection in real-world environments.
提供机构：
byungkwankim
