The purpose of fine-grained image classification is to distinguish subcategories belonging to the same basic-level category. for example. two hundred subcategories belonging to birds. It has been a challenging topic in the field of computer vision in recent years due to the small inter-class variance among different subcategories (e. https://parisnaturalfoodes.shop/product-category/supreme-nutri-flex/