Typography-MNIST（TMNIST）：一个用于字形和字体分类的MNIST风格图像数据集
Typography-MNIST (TMNIST): an MNIST-Style Image Dataset to Categorize Glyphs and Font-Styles
摘要：
我们提出了Typography-MNIST（TMNIST），一个由565，292个MNIST风格的灰度图像组成的数据集，代表1，812个不同风格的1，355个Google字体的独特字形。字形列表包含来自150多种现代和历史语言脚本的常用字符和符号集，每个字体样式代表总的独特字形的不同子集。该数据集是作为CognitiveType项目的一部分开发的，该项目旨在开发眼动跟踪工具，用于将类型实时映射到认知，并创建计算工具，以便轻松设计具有可读性等认知属性的字体。可以在https://github.com/aiskunks/CognitiveType上免费获得为不同字体样式的字形生成MNIST样式图像的数据集和脚本。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
