Nyquispei/FRED

FRED（佛罗伦萨RGB-事件无人机数据集）是一个大规模多模态数据集，专门设计用于无人机检测、跟踪和轨迹预测，包含时空同步的RGB和事件数据。数据集包括训练和测试分割，每个序列以压缩文件形式提供，包含RGB帧、事件数据和标注。事件数据包括已提取的事件帧和原始事件流的.hdf5文件。标注文件提供每帧的边界框和身份信息，格式为时间、边界框坐标、唯一ID和无人机类别。数据集适用于标准检测和跟踪流程，并支持实例级身份跨时间一致性。FRED: Florence RGB-Event Dataset is a large-scale multimodal dataset specifically designed for drone detection, tracking, and trajectory forecasting, with spatiotemporally synchronized RGB and event data. It includes train and test splits with zipped subfolders for each sequence, containing rgb frames, event data, and annotations. Event data comprises both already extracted event frames and the relative .hdf5 file with raw event streams. Annotations provide bounding box and identity information per frame in a format compatible with standard detection and tracking pipelines, maintaining instance-level identity across time.