Air Fryer Type Classification Dataset

The air fryer industry is growing rapidly with increasing consumer demand for healthier cooking alternatives. However, existing classification systems struggle to accurately categorize the various types of air fryers available in the market. This dataset aims to address the technical challenge of improving classification accuracy and meeting the business need for better product recommendations. The dataset consists of images collected from various e-commerce platforms, ensuring a diverse representation of air fryer types. Each image undergoes a quality control process that includes multi-round annotations and expert reviews to ensure accuracy. The images are stored in JPG format and organized hierarchically for easy access and retrieval.