Shoe Dryer Shape Classification Dataset

The retail e-commerce industry faces challenges in accurately classifying product types, particularly in niche markets such as shoe dryers. Current solutions struggle with distinguishing between various shapes like folding, plug-in, and embedded designs, leading to inefficiencies in inventory management and customer experience. This dataset aims to address the need for a reliable classification system for shoe dryer shapes, enhancing product discoverability and operational efficiency. Data collection involved photographing shoe dryers in controlled lighting conditions to ensure clarity and consistency. Quality control measures included multiple rounds of annotation, consistency checks among annotators, and expert reviews to validate the accuracy of classifications. The dataset is organized in JPG format, with images stored alongside metadata in a structured manner for easy access.