一个全面的硬币数据集,突出了孟加拉国数字遗产的数字遗产
Mahamudul Hasan1, Krittika Roy1, Nowshin Tasnia1
1Department of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, Bangladesh.
Data in brief
|December 31, 2025
概括
孟加拉国硬币9983张图像的新数据集有助于视障人士. 这种硬币识别技术增强了视力受损社区的金融包容性和日常银行交易.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 孟加拉国于1973年推出了塔卡硬币,2013年推出了一系列新硬币,其中包括班加邦杜谢赫穆吉布拉赫曼.
- 该数据集包括包括 26 种孟加拉硬币类别的 9983 张图像,包括 Poisha 和 Taka 面额.
- 图像在各种条件下捕捉正面和反面,解决硬币检测和识别方面的挑战.
研究的目的:
- 提供孟加拉国硬币的综合数据集.
- 帮助视障人士进行日常的银行交易.
- 在金融领域推进计算机视觉和人工智能应用.
主要方法:
- 创建数据集,其中包含26个不同的孟加拉硬币类别的9983张图像.
- 包括各种各样的面额 (1,5,10,25,50波伊沙;1,2,5塔卡).
- 在各种环境条件下捕捉正面和后面.
主要成果:
- 开发视力障碍者辅助技术的宝贵资源.
- 方便精确地检测和识别硬币.
- 促进视力障碍者更好的财务包容.
结论:
- 该数据集在金融交易中显著帮助视障人士.
- 它支持开发人工智能驱动的硬币识别工具.
- 这项研究提高了金融部门的可访问性和参与性.
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