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Layout Analysis Groundtruth for the RVL-CDIP Dataset

Name: Layout Analysis Groundtruth for the RVL-CDIP Dataset
Creator: Goldmann, Lutz
Keywords: layout analysis, dataset, document processing

Research datakeyboard_double_arrow_right Dataset 20 Sep 2019 English Publisher:Zenodo

Authors: Goldmann, Lutz;

doi: 10.5281/zenodo.3257319 , 10.5281/zenodo.3257318

Layout Analysis Groundtruth for the RVL-CDIP Dataset

- Summary
- Subjects
- Metrics

Abstract

The purpose of this dataset is to develop and evaluate layout analysis techniques. More specifically it is focused on the classification of indiviual words and the detection of semantic regions described by boxes.

{"references": ["Pau Riba et al.: \"Table Detection in Invoice Documents by Graph Neural Networks\", ICDAR, 2019."]}

Keywords

layout analysis, dataset, document processing

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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