Enhanced automated art curation using supervised modified CNN for art style classification

Enhanced automated art curation using supervised modified CNN for art style classification

Abstract This study explores the application of a supervised Modified Convolutional Neural Network (CNN) for automated art classification and curation. Traditional art classification methods rely heavily on human expertise, which is time-consuming, subjective, and inconsistent. To address these chal...

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Bibliographic Details
Main Author: Weiwei Li
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Art classification
Modified CNN
Machine learning
Art styles
Automated curation
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-91671-z
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https://doi.org/10.1038/s41598-025-91671-z

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