Water Heater Inlet and Outlet Leak Detection Dataset

The current industrial landscape faces significant challenges in ensuring the quality and safety of water heater products, particularly related to leak detection at inlet and outlet points. Traditional testing methods often fall short, being time-consuming and sometimes leading to false negatives. This dataset aims to address these technical challenges by providing a comprehensive collection of images that depict various leak conditions, thereby enhancing the ability to detect leaks reliably. Data is collected using high-resolution cameras in controlled environments to ensure clarity and consistency. Quality control measures include multiple rounds of annotations, consistency checks among annotators, and expert reviews. The data is organized in JPG format, categorized by leak status and timestamp for easy access and analysis. The dataset's advantages include high annotation precision of over 95%, innovative data augmentation techniques that improve model robustness by 30%, and significant application value, with potential reductions in false leak detections by up to 40%.