DELINE8K: A Synthetic Data Pipeline for the Semantic Segmentation of Historical Documents

arXiv:2404.19259v1 Announce Type: new
Abstract: 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 …

arxiv cs.cv data data pipeline documents pipeline segmentation semantic synthetic synthetic data type