References & Citations
Computer Science > Computer Vision and Pattern Recognition
Title: Augraphy: A Data Augmentation Library for Document Images
(Submitted on 30 Aug 2022 (v1), last revised 24 Mar 2023 (this version, v2))
Abstract: 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 different strategies to produce augmented versions of clean document images that appear as if they have been altered by standard office operations, such as printing, scanning, and faxing through old or dirty machines, degradation of ink over time, and handwritten markings. This paper discusses the Augraphy tool, and shows how it can be used both as a data augmentation tool for producing diverse training data for tasks such as document denoising, and also for generating challenging test data to evaluate model robustness on document image modeling tasks.
Submission history
From: Stefan Larson [view email][v1] Tue, 30 Aug 2022 22:36:19 GMT (3842kb,D)
[v2] Fri, 24 Mar 2023 21:49:21 GMT (19698kb,D)
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