Carbonated Beverage Product Occlusion Image Dataset

The retail e-commerce industry faces significant challenges in accurately recognizing products due to occlusions in images, particularly for popular beverages like Coca-Cola, Sprite, and Pepsi. Existing solutions often fail to account for varying degrees of occlusion, leading to poor detection rates and inventory management issues. This dataset addresses these challenges by providing a robust collection of occluded images, thus fulfilling the need for improved recognition systems in retail environments. The dataset includes images captured in various retail settings using high-resolution cameras under different lighting conditions. Quality control measures such as multiple rounds of annotation and expert reviews ensure high accuracy. Images are stored in JPG format, organized with clear file paths for easy access.