# DELINE8K: A Synthetic Data Pipeline for the Semantic Segmentation of Historical Documents

arXiv: https://arxiv.org/abs/2404.19259 · HTML: https://mlsanity.com/paper/2404.19259/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 9 of its 30 references that are in the map.
- First posted on arXiv 30 Apr 2024.

## Builds on (most cited first, 9 of 9)

- [Deep Residual Learning for Image Recognition](https://mlsanity.com/paper/1512.03385/) (2015)
- [Zero-Shot Text-to-Image Generation](https://mlsanity.com/paper/2102.12092/) (2021)
- [Albumentations: fast and flexible image augmentations](https://mlsanity.com/paper/1809.06839/) (2018)
- [Handwriting Transformers](https://mlsanity.com/paper/2104.03964/) (2021)
- [Document Image Binarization with Fully Convolutional Neural Networks](https://mlsanity.com/paper/1708.03276/) (2017)
- [Deep Visual Template-Free Form Parsing](https://mlsanity.com/paper/1909.02576/) (2019)
- [Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Network](https://mlsanity.com/paper/1906.05229/) (2019)
- [Handwritten and Printed Text Segmentation: A Signature Case Study](https://mlsanity.com/paper/2307.07887/) (2023)
- [LS-HDIB: A Large Scale Handwritten Document Image Binarization Dataset](https://mlsanity.com/paper/2101.11674/) (2021)

## Built on by (most cited first, 1 of 1)

- [Leveraging Semantic Segmentation Masks with Embeddings for Fine-Grained Form Classification](https://mlsanity.com/paper/2405.14162/) (2024)

## Abstract (arXiv)

Document semantic segmentation is a promising avenue that can facilitate document analysis tasks, including optical character recognition (OCR), form classification, and document editing. Although several synthetic datasets have been developed to distinguish handwriting from printed text, they fall short in class variety and document diversity. We demonstrate the limitations of training on existing datasets when solving the National Archives Form Semantic Segmentation dataset (NAFSS), a dataset which we introduce. To address these limitations, we propose the most comprehensive document semantic segmentation synthesis pipeline to date, incorporating preprinted text, handwriting, and document backgrounds from over 10 sources to create the Document Element Layer INtegration Ensemble 8K, or DELINE8K dataset. Our customized dataset exhibits superior performance on the NAFSS benchmark, demonstrating it as a promising tool in further research. The DELINE8K dataset is available at https://github.com/Tahlor/deline8k.