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.识别与分类纸币是一项至关重要的任务，尤其对于视障群体而言。其在协助视障人士完成日常金融交易——如购物、前往工作场所或教育机构——中发挥着关键作用。构建本数据集的核心目标如下： 1. 构建涵盖新旧秘鲁货币的数据集 2. 打造仅面向秘鲁货币的专属数据集 3. 确保数据集包含高质量图像 我们采用手机后置摄像头拍摄秘鲁纸币图像。经处理的图像数据集总计包含9315张样本图像，其中6568张用于训练集，2486张用于验证集，261张用于测试集。该处理后数据集涵盖16个类别，分别为旧版秘鲁索尔10、20、50、100面值的正反面，以及新版秘鲁索尔10、20、50、100面值的正反面。拍摄图像涵盖多种背景与光照条件，包括杂乱背景以及折叠状态的纸币图像。本数据集对于专注于纸币检测与识别方向的研究人员而言极具应用价值。 说明： 本处理后的数据集包含16个类别，涵盖旧版秘鲁索尔10、20、50、100面值的正反面，以及新版秘鲁索尔10、20、50、100面值的正反面。