Oracle-MNIST
收藏科学数据银行2023-08-23 更新2026-04-23 收录
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资源简介：
Oracle-MNIST dataset comprises of 28×28 grayscale images of 30,222 ancient characters from 10 categories, for benchmarking pattern classification, with particular challenges on image noise and distortion. The training set totally consists of 27,222 images, and the test set contains 300 images per class.1. Easy-of-use. Oracle-MNIST shares the same data format with the original MNIST dataset, allowing for direct compatibility with all existing classifiers and systems.2. Real-world challenge. Oracle-MNIST constitutes a more challenging classification task than MNIST. The images of oracle characters suffer from 1) extremely serious and unique noises caused by three- thousand years of burial and aging and 2) dramatically variant writing styles by ancient Chinese, which all make them realistic for machine learning research.
提供机构：
Beijing University Of Posts and Telecommunications
创建时间：
2023-08-11
