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OmniPrint: A Configurable Printed Character Synthesizer

2022-01-17 22:31:35
Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
arXiv_CV
 
Abstract

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 this https URL.

Abstract (translated)

URL

https://arxiv.org/abs/2201.06648

PDF

https://arxiv.org/pdf/2201.06648.pdf

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