Appreciation of Paintings Based on Artificial Intelligence Technology
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.
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