Integrating deep learning and machine learning for ceramic artifact classification and market value prediction

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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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Bibliographic Details
Main Authors:	Hu, Yanfeng, Wu, Siqi, Ma, Zhuoran, Cheng, Si
Format:	Article
Language:	English
Published:	Springer Science and Business Media Deutschland GmbH 2025
Online Access:	http://psasir.upm.edu.my/id/eprint/120159/ http://psasir.upm.edu.my/id/eprint/120159/1/120159.pdf

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