Toothpaste and Toothbrush Product Occlusion Image Dataset

The toothpaste and toothbrush market is currently facing challenges in accurately detecting and classifying products in images due to high levels of occlusion from packaging and other items. Existing solutions often fail to effectively handle these occlusions, leading to reduced accuracy in product recognition systems. This dataset aims to address these technical challenges by providing a diverse set of occluded images of popular toothpaste and toothbrush brands, such as Colgate, Oral-B, and Sensodyne, thereby meeting the business needs of retailers and e-commerce platforms for improved product visibility and searchability. The dataset is collected using high-resolution cameras in controlled environments to ensure quality. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to maintain high standards. The data is stored in JPG format, organized by product categories and occlusion status.