Tea Leaf Drying Process Classification Dataset

The current agricultural industry faces challenges in quality control and process standardization during tea production, especially at the drying stage, where improper procedures can lead to decreased tea quality. Existing solutions often rely on human experience, lack systematic data support, resulting in inefficiency and high error rates. This dataset aims to utilize image classification technology to help identify different tea leaf drying processes, thereby improving production efficiency and product quality. Data is collected using high-definition cameras in a standardized drying environment, ensuring image clarity and representativeness. In terms of quality control, multiple rounds of annotation and expert review ensure the consistency and accuracy of annotations. The data will be stored in JPG format, with a clear organizational structure, facilitating subsequent processing and application.