深度Jiandu数据集用于Jiandu手稿上的字符检测和识别
Yiran Liu1, Qiang Zhang2,3, Ying Qi1
1College of Computer Science and Engineering, Northwest Normal University, 967 Anning East Road, Anning District, Lanzhou, 730070, China.
Scientific data
|March 7, 2025
概括
研究人员开发了DeepJiandu数据集,用于识别古代中国的竹子和木制滑板 (Jiandu). 这一数据集通过提高Jiandu字符识别准确度,有助于解读历史文本.
科学领域:
- 数字人文学科 数字人文学科
- 历史语言学 历史语言学
- 计算机视觉 计算机视觉
背景情况:
- 古代中国的Jiandu (竹和木片) 是纸之前的重要历史记录.
- 准确的Jiandu字符识别对于历史研究和手稿处理至关重要.
- 现有的方法面临挑战,因为在Jiandu的性格退化和各种形式.
研究的目的:
- 介绍DeepJiandu数据集用于Jiandu字符检测和识别.
- 提供一个可靠的资源,用于培训和评估Jiandu字符识别模型.
- 促进研究和组织历史Jiandu手稿.
主要方法:
- 开发了一个由7,416张图像组成的数据集.
- 在2,242个类别中注释了99,852个字符.
- 数据集旨在应对退化和可变字符形式等挑战.
主要成果:
- 深江都数据集提供了真实可靠的数据.
- 它有效地处理复杂的Jiandu字符识别挑战.
- 能够进行强大的模型训练和评估,用于Jiandu分析.
结论:
- 深江都数据集是江都研究的重要资源.
- 它将加速解密和组织中国古代历史记录.
- 提高了江都文化遗产的可访问性和理解性.
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