Detection Dataset for Violation Behavior of Bare Hand Contact with High-Temperature Equipment

With the advancement of industrial automation and equipment modernization, the risk of workers contacting high-temperature equipment is gradually increasing, and operations without gloves may lead to serious burn accidents. However, existing monitoring systems largely rely on manual inspections, making it difficult to promptly identify violations, leading to frequent accidents. This dataset aims to automatically identify violation behaviors when workers contact high-temperature equipment through video surveillance technology, reducing the risk of worker injuries. Data collection is conducted using high-resolution cameras in a real factory environment, recording various behaviors of workers when operating high-temperature equipment. To ensure data quality, we use multiple rounds of annotation, expert review, and consistency checks as quality control measures to ensure the accuracy and reliability of the data. The data is stored in MP4 format, with each video containing multiple behavior annotation information for subsequent analysis and processing.