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Read Abp Table Datasets

Name: Read Abp Table Datasets
Keywords: READ Table Understanding Handwritten Texts

Research datakeyboard_double_arrow_right Dataset 23 Apr 2018Publisher:ZenodoFunded by:EC | READ

Authors: Déjean Hervé; Lang Eva; Kleber Florian;

doi: 10.5281/zenodo.1243098 , 10.5281/zenodo.1226878 , 10.5281/zenodo.1226879

Read Abp Table Datasets

- Summary
- Subjects
- Metrics

Abstract

Datasets used in the publication : Comparing Machine Learning Approaches for Table Recognition in Historical Register Books, Hervé Déjean, Jean-Luc Meunier, Stéphane Clinchant, Eva Maria Lang and Florian Kleber, 13TH IAPR INTERNATIONAL WORKSHOP ON DOCUMENT ANALYSIS SYSTEMS DAS 2018; Vienna, Austria CHANGES: 07/05/2018: second version: dataset150 images were missing dataset111 img/ images xml/ READ pagexml with BIESO annotation dataset150 img/ images GT_xml: READ pagexml with BIESO annotation WK_xml: workflow version: pagexml corresponding to the workflow outputs (textlines are automatically recognised, columns as well) ROWREF: GT for the row regions Tagset (attribute of the TextLine element) Type: deprecated DU_row: B: first element of cell I: inside a cell E: last element of a cell S: single element of a cell O: outside the table

Keywords

READ Table Understanding Handwritten Texts

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).	3
	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

Usage byUsageCounts

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Funded by

EC| READ