Electric Shaver Appearance Classification Dataset

The electric shaver industry faces challenges in accurately classifying various shaver types due to a lack of standardized datasets. Existing solutions often suffer from insufficient data diversity and labeling inconsistencies, leading to poor performance in automated classification tasks. This dataset aims to address these issues by providing a comprehensive collection of images for single-head, double-head, and triple-head electric shavers, fulfilling the need for high-quality training data in image classification tasks. The dataset is collected from various e-commerce platforms under controlled lighting conditions, ensuring high-quality visual representation. Quality control measures include multi-round annotations, consistency checks, and expert reviews to ensure labeling accuracy. The data is stored in JPG format with organized directories based on classification labels.