【摘要】 构建了牡丹花卉图像分类识别数据集，应用ConvNeXt-Tiny模型算法实现了牡丹花卉品种的分类与识别。基于PyQt5设计了显示界面，实现用户交互功能。与其他分类模型相比，基于ConvNeXt-Tiny的牡丹花卉分类识别模型在牡丹花卉图像分类识别数据集上的表现非常好，取得的识别准确率高达98.3%，这证明了基于ConvNeXt-Tiny的牡丹花卉分类识别模型的有效性。更多还原

【Abstract】 In this paper, an image classification and recognition data set of peony flowers is constructed, and the ConvNeXt-Tiny model algorithm is applied to realize the classification and recognition of peony flowers. The display interface is designed based on PyQt5 to realize user interaction. Compared with other classification models, this model performs very well on the peony flower image classification and recognition dataset, and the recognition accuracy is as high as 98.3%, which proves the effectiveness of the peony flower classification and recognition model based on ConvNeXt-Tiny.更多还原