论文标题
版式示例（TMNIST）：MNIST风格的图像数据集，用于分类字形和字体风格
Typography-MNIST (TMNIST): an MNIST-Style Image Dataset to Categorize Glyphs and Font-Styles
论文作者
论文摘要
我们提出了版式示例（TMNIST），该数据集由565,292个MNIST风格的灰度图像组成，代表1,812个独特的Glyphs，具有1,355个Google-Fonts的各种样式。字形列表包含带有符号集的150多个现代和历史语言脚本中的常见字符，每个字体式式式字体式代表总体独特的glyphs的不同子集。该数据集是作为CognitiveType项目的一部分开发的，该项目旨在开发可吸引人的工具，以实时映射类型到认知，并创建计算工具，从而允许使用具有认知属性（例如可读性）的字体设计。在https://github.com/aiskunks/cognitivetype上免费获得，可以在不同字体样式中生成MNIST风格图像的数据集和脚本。
We present Typography-MNIST (TMNIST), a dataset comprising of 565,292 MNIST-style grayscale images representing 1,812 unique glyphs in varied styles of 1,355 Google-fonts. The glyph-list contains common characters from over 150 of the modern and historical language scripts with symbol sets, and each font-style represents varying subsets of the total unique glyphs. The dataset has been developed as part of the CognitiveType project which aims to develop eye-tracking tools for real-time mapping of type to cognition and to create computational tools that allow for the easy design of typefaces with cognitive properties such as readability. The dataset and scripts to generate MNIST-style images for glyphs in different font styles are freely available at https://github.com/aiskunks/CognitiveType.
