High Pressure Gas Leak Video Detection Dataset

The current industrial sector faces the frequent challenge of high-pressure gas leak events. Traditional monitoring methods often rely on manual inspection, which is inefficient and prone to errors. Most existing solutions lack real-time capability and accuracy, failing to detect potential safety hazards timely. This dataset aims to provide a rich array of high-pressure gas leak scenarios through video surveillance technology to support the training and optimization of machine learning models, thereby improving the accuracy and real-time detection of leaks. Data collection uses professional surveillance cameras with multiple monitoring points set around high-pressure gas equipment. Environmental conditions including temperature and humidity are within standard ranges. To ensure data quality, multiple rounds of annotation and expert review mechanisms are utilized to ensure each video is accurately labeled. Data storage uses MP4 format, organized in chronological order to facilitate subsequent retrieval and analysis.