Papers › OmniPrint: A Configurable Printed Character Synthesizer
OmniPrint: A Configurable Printed Character Synthesizer
Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
We introduce OmniPrint, a synthetic data generator of isolated printed characters, geared toward machine learning research. It draws inspiration from famous datasets such as MNIST, SVHN and Omniglot, but offers the capability of generating a wide variety of printed characters from various languages, fonts and styles, with customized distortions. We include 935 fonts from 27 scripts and many types of distortions. As a proof of concept, we show various use cases, including an example of meta-learning dataset designed for the upcoming MetaDL NeurIPS 2021 competition. OmniPrint is available at https://github.com/SunHaozhe/OmniPrint.
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Syntology Ran 5 of 10 code samples harvested from 2 repositories linked to this paper; 5 have no recorded run. Of those that ran: 2 ran · honoured contract; 1 ran · our draft was wrong; 1 ran · fixture could not drive it; 1 ran with no contract checked.
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