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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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-91671-z |
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