Edible Oil Product Occlusion Image Dataset

The retail e-commerce industry is facing significant challenges in accurately detecting and recognizing products that may be partially obscured in images. Existing solutions often struggle with occlusion, leading to reduced accuracy in product identification and customer satisfaction. This dataset aims to address the technological issue of product occlusion by providing a diverse set of images featuring common edible oil brands like Bertolli, Mazola, and Crisco in various occlusion scenarios. The dataset consists of images collected using high-resolution cameras in controlled lighting environments, ensuring clarity and detail. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to ensure high-quality labels. The data is organized in JPG format, stored in a structured directory based on product categories and occlusion levels.