Fig. 5: Improved YOLOv11 architecture. | npj Heritage Science

Fig. 5: Improved YOLOv11 architecture.

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

Fig. 5

This figure illustrates the structural design of the improved YOLOv11 framework used for ceramic classification. The architecture integrates a ResNet backbone, multiple feature enhancement modules, and optimized detection heads tailored for fine-grained ceramic attributes such as patterns, shapes, and craftsmanship styles. The entire figure was originally created by the authors.

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