Industrial Parts Packaging Detection Dataset

The current industrial sector faces significant challenges in managing packaging quality and detecting anomalies in warehouse operations. Existing solutions often rely on manual inspections, which can be time-consuming and prone to human error. This dataset aims to address the need for automated detection of packaging defects, thereby improving efficiency and accuracy in warehouse management. The dataset has been constructed using images captured from various warehouse environments using high-resolution cameras, ensuring a diverse representation of packaging types. Quality control measures included multi-stage annotations, consistency checks among annotators, and reviews by industry experts to ensure high-quality labels. The images are stored in JPEG format, organized in directories based on their respective classes to facilitate easy access and processing.