Condiment Product Occlusion Image Dataset

The condiment market is facing challenges such as product misidentification and occlusion in images, which can hinder effective inventory management and customer experience. Current solutions often fail to account for occlusions that obscure product labels, leading to inaccuracies in automated processes. This dataset aims to address these issues by providing a comprehensive collection of occluded images of popular Asian condiments like Kikkoman, Maggi, and Lee Kum Kee, thus fulfilling a critical need for training robust computer vision systems. The dataset will be collected using high-resolution cameras in various retail environments, ensuring diverse lighting and occlusion scenarios. Quality control will involve multiple rounds of annotation, consistency checks, and expert reviews to maintain high accuracy. Images will be stored in JPG format, organized systematically for easy access and processing.