Integrating deep learning and machine learning for ceramic artifact classification and market value prediction
This study proposes an intelligent framework for the automated classification and valuation of ceramic artifacts, integrating deep learning and machine learning techniques. An improved YOLOv11 model was constructed to identify key ceramic attributes such as decorative patterns, shapes, and craftsman...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Springer Science and Business Media Deutschland GmbH
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/120159/1/120159.pdf http://psasir.upm.edu.my/id/eprint/120159/ https://www.nature.com/articles/s40494-025-01886-6?error=cookies_not_supported&code=885a38c7-8a7b-4228-bf04-2efc768fc906 |
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