Fan Appearance Classification Dataset

In the current retail e-commerce industry, the classification of products, especially appliances like fans, remains a challenge due to the variety of designs and types available. Existing solutions often fall short in accurately categorizing these products, leading to inefficiencies in inventory management and customer search experiences. This dataset is designed to address the specific challenge of distinguishing between various types of fans—table fans, pedestal fans, and bladeless fans—by providing a comprehensive collection of labeled images. The dataset was collected using high-resolution cameras in a controlled lighting environment to ensure image clarity and quality. Rigorous quality control measures, including multi-round annotations, consistency checks, and expert reviews, were implemented to maintain high accuracy. The data is stored in JPG format, organized by categories for easy access and utilization in machine learning applications.