Rice Cooker Image Classification Dataset

The Rice Cooker Image Classification Dataset is designed to address the growing challenges in the retail e-commerce industry, particularly in accurately classifying different types of rice cookers such as mini rice cookers, smart rice cookers, and pressure rice cookers. Current solutions often struggle with misclassification due to the vast variety of designs and features. This dataset aims to provide a robust foundation for training machine learning models to improve classification accuracy and enhance user experience in online shopping. Data was collected using high-resolution cameras in a controlled lighting environment to ensure clarity and consistency. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert review of the labels. The dataset is organized in JPG format, with images categorized based on type and labeled accordingly for easy access and use.