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<p>The Dongba script, a unique pictographic writing system invented by the ancestors of the Naxi people of China, holds great significance for interpreting the ancient Naxi language, history, and culture. Accurate detection of the Dongba script is crucial for in-depth research into Dongba manuscripts. Through automated Dongba script detection technology, experts can efficiently extract precise text data from many manuscripts, providing essential support for the subsequent translation of Dongba script and constructing a corpus. In response to this need, we have developed the ‘Dongba1800’ dataset, designed explicitly for Dongba script detection. This dataset comprises 1800 annotated images of Dongba manuscripts, with resolutions ranging from 1200 × 416 to 1201 × 530, totaling 111,702 Dongba characters. The characteristics of Dongba character images include (1) the complexity of Dongba characters, with varying sizes and nonlinear arrangements; (2) significant differences in writing styles among different Dongba scribes; and (3) severe aging and noise caused by long-term use and preservation. The Dongba1800 dataset provides a powerful tool for archaeologists, greatly simplifying and optimizing the organization and study of Dongba manuscripts. Additionally, we have conducted technical validations with various text detection models on the Dongba1800 dataset to ensure its effectiveness and reliability.</p>

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Dataset for Single Character Detection in Dongba Manuscripts

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月1日

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  • Yuqi Ma,
  • Yongbo Li,
  • Guang Long,
  • Ruiyuan Li,
  • Fengyuan Hu,
  • Chenjun Xu,
  • Yueran Wang,
  • Maoling Peng,
  • Xiaoliang Li,
  • Shanxiong Chen

摘要

The Dongba script, a unique pictographic writing system invented by the ancestors of the Naxi people of China, holds great significance for interpreting the ancient Naxi language, history, and culture. Accurate detection of the Dongba script is crucial for in-depth research into Dongba manuscripts. Through automated Dongba script detection technology, experts can efficiently extract precise text data from many manuscripts, providing essential support for the subsequent translation of Dongba script and constructing a corpus. In response to this need, we have developed the ‘Dongba1800’ dataset, designed explicitly for Dongba script detection. This dataset comprises 1800 annotated images of Dongba manuscripts, with resolutions ranging from 1200 × 416 to 1201 × 530, totaling 111,702 Dongba characters. The characteristics of Dongba character images include (1) the complexity of Dongba characters, with varying sizes and nonlinear arrangements; (2) significant differences in writing styles among different Dongba scribes; and (3) severe aging and noise caused by long-term use and preservation. The Dongba1800 dataset provides a powerful tool for archaeologists, greatly simplifying and optimizing the organization and study of Dongba manuscripts. Additionally, we have conducted technical validations with various text detection models on the Dongba1800 dataset to ensure its effectiveness and reliability.