
Replicating Documents with Augraphy
In the previous post, we created a custom Augraphy pipeline to model one type of document, in that case producing output that resembled scans
In the previous post, we created a custom Augraphy pipeline to model one type of document, in that case producing output that resembled scans
In the last post, we looked at a tool for generating realistic documents, to be used in machine learning training. This article introduces Augraphy,
DocCreator is a program for producing synthetic ground-truth documents, designed to help you generate a larger dataset for training more robust deep learning models.
Last time, we saw how to develop a custom augmentation to be used in an Augraphy pipeline. In that post, we created a bare-bones
Augraphy is an image augmentation library designed to produce realistic text documents like you’d find in a business setting. In this post, we’ll see
To stay competitive in today’s market, businesses are increasingly relying on data-driven approaches, and many are hitting the same roadblock: historically, all of their
OCR (optical character recognition) based document scanning technologies are known to be error prone. Documents get damaged, text gets read incorrectly and important data
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