Raspberry Fruit Detection Dataset

The current agricultural industry faces the difficult problem of fruit detection, especially in terms of fruit maturity assessment and pest monitoring. Traditional manual detection methods are inefficient and prone to errors. Existing solutions often rely on manual annotation and imprecise detection models, resulting in identification accuracy and efficiency that fail to meet actual needs. This dataset aims to provide a high-quality fruit detection dataset to improve the accuracy and reliability of automated detection technologies. The data is captured using high-resolution cameras under natural lighting conditions, covering raspberry fruits in various growth stages. The dataset has undergone multiple rounds of annotation and expert review to ensure the accuracy and consistency of annotations, stored in JPG format, organized by category and shooting time.