Microwave and Oven Discrimination Dataset

The retail e-commerce industry is experiencing rapid growth, yet it faces challenges in accurately classifying kitchen appliances like microwaves and ovens, which can lead to customer dissatisfaction. Existing solutions often struggle with misclassification due to similar designs and features. This dataset aims to address the need for a reliable classification system for countertop microwaves, built-in microwaves, and combination ovens to enhance product recognition and improve user experience. The dataset comprises high-quality images collected from diverse sources, including online retail platforms and manufacturer websites. Each image undergoes a multi-stage annotation process, including multiple rounds of labeling, consistency checks, and expert reviews to ensure high accuracy. The images are stored in JPEG format and organized into labeled folders for efficient access.