Peruvian Banknotes

Recognizing and categorizing banknotes is a crucial task, especially for individuals with visual impairments. It plays a vital role in assisting them with everyday financial transactions, such as making purchases or accessing their workplaces or educational institutions. The primary objectives for creating this dataset were as follows: 1. To compile a dataset containing both the old and new Peruvian currency. 2. To establish a dataset exclusively for Peruvian currency. 3. To ensure that the dataset comprises high-quality images. We utilized the rear cameras of mobile phones to capture images of Peruvian banknotes. The processed image dataset comprises a total of 9,315 images, with 6,568 for training, 2,486 for validation, and 261 for testing. This processed dataset encompasses 16 distinct categories, including the obverse and reverse sides of 10, 20, 50, and 100 old Peruvian soles, as well as the obverse and reverse sides of 10, 20, 50, and 100 new Peruvian soles. The images were taken under various backgrounds and lighting conditions, including cluttered backgrounds and images of folded banknotes. Researchers specializing in banknote detection and recognition will find this dataset highly valuable. Instructions: The processed dataset comprises 16 categories, including the obverse and reverse sides of 10, 20, 50, and 100 old Peruvian soles, as well as the obverse and reverse sides of 10, 20, 50, and 100 new Peruvian soles.纸币识别与分类是一项至关重要的任务，尤其对于视障群体而言。该任务对助力他们完成日常金融交易（如购物、往返工作场所或校园）意义重大。本数据集的构建目标如下：1. 构建涵盖新旧秘鲁货币的数据集；2. 打造专属秘鲁货币的数据集；3. 确保数据集包含高质量图像。我们通过手机后置摄像头采集秘鲁纸币图像。经处理的图像数据集总计9315张，其中6568张用于训练、2486张用于验证、261张用于测试。该处理后数据集包含16个独立类别，涵盖旧版10、20、50、100秘鲁索尔的正反两面，以及新版10、20、50、100秘鲁索尔的正反两面。图像采集于多样的背景与光照环境，包含杂乱背景以及折叠状态的纸币图像。专注于纸币检测与识别研究的学者将从本数据集获得极高的研究价值。说明：本处理后数据集包含16个类别，涵盖旧版10、20、50、100秘鲁索尔的正反两面，以及新版10、20、50、100秘鲁索尔的正反两面。