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pro vyhledávání: '"Groleau, Alexander"'
Document denoising and binarization are fundamental problems in the document processing space, but current datasets are often too small and lack sufficient complexity to effectively train and benchmark modern data-driven machine learning models. To f
Externí odkaz:
http://arxiv.org/abs/2303.09339
This paper introduces Augraphy, a Python library for constructing data augmentation pipelines which produce distortions commonly seen in real-world document image datasets. Augraphy stands apart from other data augmentation tools by providing many di
Externí odkaz:
http://arxiv.org/abs/2208.14558