Raspberry Variety Classification Dataset

The current agricultural industry faces challenges in managing the diversity of crop types, especially in raspberry cultivation and variety identification. Existing solutions often rely on manual identification, which is inefficient and prone to errors. This dataset aims to address the issue of low accuracy in variety classification by providing high-quality raspberry images, meeting the needs of intelligent agriculture. The dataset structure includes image ID, variety name, image path, and label information. Data collection uses high-resolution cameras under natural light conditions to ensure clarity and authenticity. In terms of quality control, multiple rounds of annotation and expert review enhance annotation consistency and ensure data reliability. Data is stored in JPG format for quick loading and use.