Fruit Detection and Multi-Variety Classification System

A diverse fruit dataset containing Apple, Mango, Banana, and Grape images supports classification and detection tasks. Each category includes varied samples with different sizes, colors, lighting conditions, and backgrounds. This dataset is suitable for training robust computer vision models, improving accuracy in fruit recognition, sorting, and real-time automation applications.