LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis

Understand

Recent advances in document image analysis (DIA) have been primarily driven by the application of neural networks.

• Ideally, research outcomes could be easily deployed in production and extended for further investigation.
• However, various factors like loosely organized codebases and sophisticated model configurations complicate the easy reuse of important innovations by a wide audience.
• Though there have been on-going efforts to improve reusability and simplify deep learning (DL) model development in disciplines like natural language processing and computer vision, none of them are optimized for challenges in the domain of DIA.