Electric Toothbrush Appearance Classification Dataset

The retail e-commerce industry is currently facing challenges in accurately classifying and recommending dental hygiene products, particularly electric toothbrushes. Existing solutions often struggle with distinguishing between various types, such as rotary and sonic toothbrushes, leading to customer confusion and suboptimal purchasing decisions. This dataset aims to address these challenges by providing a robust set of labeled images that enhance product classification accuracy. The dataset includes images collected from various e-commerce platforms under controlled lighting conditions, ensuring consistent quality. Quality control measures involved multi-round annotations and expert reviews to achieve a high level of consistency. Data is stored in JPG format for images, organized by categories to facilitate easy access and retrieval.