Revising FUNSD dataset for key-value detection in document images
Computer Vision and Pattern Recognition
2020-10-13 v1
Abstract
FUNSD is one of the limited publicly available datasets for information extraction from document im-ages. The information in the FUNSD dataset is defined by text areas of four categories ("key", "value", "header", "other", and "background") and connectivity between areas as key-value relations. In-specting FUNSD, we found several inconsistency in labeling, which impeded its applicability to thekey-value extraction problem. In this report, we described some labeling issues in FUNSD and therevision we made to the dataset. We also reported our implementation of for key-value detection onFUNSD using a UNet model as baseline results and an improved UNet model with Channel-InvariantDeformable Convolution.
Cite
@article{arxiv.2010.05322,
title = {Revising FUNSD dataset for key-value detection in document images},
author = {Hieu M. Vu and Diep Thi-Ngoc Nguyen},
journal= {arXiv preprint arXiv:2010.05322},
year = {2020}
}