Event cameras record only brightness changes in individual pixels, providing lower latency perception. However, training machine learning models for event-based perception requires specialized annotation methods and datasets. Creating a high-quality event camera dataset requires labeling strategies tailored to asynchronous sensor streams. This has led to the development of DVS annotations,