As one of the many indigenous minority groups with a long history in Taiwan, the simple styles and rich patterns of the Atayal costumes vividly reflect the historical and cultural heritage of their ethnic origin. Based on this cultural background, this paper takes the traditional costume patterns of the Atayal as the research object, uses deep learning, applies the YoloV3 algorithm model for pattern intelligent recognition, compares it with the EfficientDetD0 model, finally analyzes the experimental results by analogy, and concludes that the YoloV3 model used in this paper has a better recognition effect. The results are compared with the EfficientDetD0 model, and the YoloV3 model used in this paper has a better recognition effect.

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Research on Classification and Recognition of Atayal Costume Patterns Based on Deep Learning

  • Jing-Wan Huang,
  • Ke-Ke Sun,
  • Yu-Yang Yuan

摘要

As one of the many indigenous minority groups with a long history in Taiwan, the simple styles and rich patterns of the Atayal costumes vividly reflect the historical and cultural heritage of their ethnic origin. Based on this cultural background, this paper takes the traditional costume patterns of the Atayal as the research object, uses deep learning, applies the YoloV3 algorithm model for pattern intelligent recognition, compares it with the EfficientDetD0 model, finally analyzes the experimental results by analogy, and concludes that the YoloV3 model used in this paper has a better recognition effect. The results are compared with the EfficientDetD0 model, and the YoloV3 model used in this paper has a better recognition effect.