Refrigerator Door Seal Leakage Detection Dataset

In the industrial sector, there is a growing concern over energy efficiency and product quality, particularly in refrigeration systems. Currently, many manufacturers face challenges in identifying seal integrity issues, which can lead to increased energy consumption and product malfunction. Existing solutions often rely on manual inspections, which are time-consuming and prone to human error. The Refrigerator Door Seal Leakage Detection Dataset aims to address these challenges by providing a large and diverse set of images for training machine learning models to automatically detect seal deformities and detachments. The dataset was collected using high-resolution cameras in controlled environments, ensuring clarity and consistency. Quality control measures included multiple rounds of annotations, consistency checks, and expert reviews to ensure accuracy. The data is organized in JPG format, with images labeled according to seal status and quality metrics. This systematic approach guarantees that the dataset meets the high standards required for effective model training.