基于人工智能技术的画作鉴赏
Appreciation of Paintings Based on Artificial Intelligence Technology
张以琳1
作者信息
摘要
随着互联网和数字化技术的发展,人们可以轻松地获得各种类型的图片和画作,但是很多人对于艺术作品的鉴赏水平较低,无法从中领略到作者所想要表达的艺术意境.因此,设计一款能够自动对画作进行鉴赏并为用户提供艺术鉴赏指导的画作鉴赏模型显得非常有意义.文章首先介绍了卷积神经网络和图像预处理技术,然后使用EfficientNet模型架构进行模型训练与评价.研究结果表明,基于人工智能技术的画作鉴赏能够实现准确的画作鉴赏,具有实用价值和应用前景.
Abstract
With the development of the internet and digital technology,people can easily access various types of images and artworks.However,many individuals lack a high level of appreciation for artistic works,making it difficult for them to grasp the artistic expressions intended by the creators.Therefore,designing a model capable of automatically appraising artworks and providing users with artistic appreciation guidance becomes highly meaningful.This paper begins by introducing convolutional neural networks and image preprocessing techniques,followed by the utilization of the EfficientNet model architecture for training and evaluation.The research findings indicate that AI-based artwork appraisal can achieve accurate assessment,showcasing practical value and promising applications.
关键词
卷积神经网络/图像预处理/预训练模型/画作鉴赏Key words
convolutional neural network/image preprocessing/pretrained model/artwork appreciation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据