Research on the innovative application of Shen Embroidery cultural heritage based on convolutional neural network

Jiajun Zhu; Changyong Zhu

doi:10.1038/s41598-024-60121-7

Research on the innovative application of Shen Embroidery cultural heritage based on convolutional neural network

Sci Rep. 2024 Apr 26;14(1):9574. doi: 10.1038/s41598-024-60121-7.

Authors

Jiajun Zhu¹, Changyong Zhu²

Affiliations

¹ School of Computer and Information Engineering, Nantong Institute of Technology, Nantong, China.
² School of Computer and Information Engineering, Nantong Institute of Technology, Nantong, China. 619802047@qq.com.

Abstract

In order to protect intangible cultural heritage and promote outstanding cultural works, this article introduces innovative research on Shen Embroidery using convolutional neural networks. The dataset of Shen Embroidery was preprocessed to augment the data required for experimentation. Moreover, the approach of transfer learning was introduced to fine-tune the recognition network. Specifically, Spatial Pyramid Pooling (SPP) is employed by replacing the avg pool in the MobileNet V1 network, achieving the fusion of local and global features. The experimental results showed that the improved MobileNet V1 achieved a recognition accuracy of 98.45%, which was 2.3% higher than the baseline MobileNet V1 network. The experiments demonstrated that the improved convolutional neural network can efficiently recognize Shen Embroidery and provide technical support for the intelligent development of intangible cultural heritage.

Keywords: Convolutional neural network; Innovative research; MobileNet V1; Shen Embroidery; Transfer learning.

Abstract

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