Factory Explosion Shockwave Event Identification Dataset

The current industrial sector faces significant challenges in safety monitoring, especially in the rapid response and analysis of sudden events such as explosions. Existing monitoring systems often lack the ability to accurately identify complex events, resulting in the inability to take effective measures promptly after an accident. This dataset aims to help researchers and developers enhance event detection technologies by providing videos of explosion shockwave events across various scenarios, meeting the needs of safety monitoring and accident analysis. The dataset includes videos from different factory environments; the recording devices comprise high-resolution cameras, and the data collection environment is high-risk industrial zones, ensuring the authenticity and diversity of the video content. In terms of quality control, multi-round annotation and expert review mechanisms are adopted to ensure the consistency and accuracy of annotations. The data is stored in MP4 format and organized according to event IDs for easy retrieval and analysis.