Occluded Biscuit Product Image Dataset

In the retail e-commerce sector, visual recognition systems are increasingly essential for automating product identification and enhancing customer experiences. However, many existing datasets lack sufficient examples of occluded products, which is a common occurrence in real-world scenarios. This dataset aims to address the challenge of recognizing partially obscured biscuit packages, such as Oreo, Bourbon, and TUC, by providing a diverse collection of images captured under various conditions. The dataset includes images taken in typical retail environments, ensuring relevance to real-world applications. Quality control measures include multiple rounds of annotations, consistency checks, and expert reviews to ensure high-quality annotations. The images are stored in JPG format, organized systematically for easy retrieval.