Green Chili Varietal Classification Dataset

The agriculture sector currently faces challenges in identifying green chili varieties, especially in the fast and accurate classification and recognition of different varieties. Traditional manual identification methods are inefficient and prone to errors. Existing solutions often rely on experienced experts for manual annotation, leading to slow data acquisition and high costs. This dataset aims to support the training of machine learning algorithms by providing a large number of clearly annotated green chili images, enhancing the automation of green chili varietal recognition. Data collection is performed using professional cameras in greenhouse and field environments, ensuring diversity and representativeness. Data quality control measures include multiple rounds of annotation, expert review, and consistency checks to ensure data reliability and accuracy. The data is stored in JPG format, with a clear organizational structure for easy processing and use.