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Found 2 papers, 1 papers with code
ShabbyPages: A Reproducible Document Denoising and Binarization Dataset
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.
Augraphy: A Data Augmentation Library for Document Images
This paper introduces Augraphy, a Python library for constructing data augmentation pipelines which produce distortions commonly seen in real-world document image datasets.
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