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Three Benchmark Datasets for Scholarly Article Layout Analysis

Meng Ling 1 Jian Chen 1 Torsten Möller 2 Petra Isenberg 3 Tobias Isenberg 3 Michael Sedlmair 4 Robert Laramee 5 Han-Wei Shen 1 Jian Wu 6 Clyde Lee Giles 7
1 OSU - Ohio State University [Columbus]
2 University of Vienna [Vienna]
3 AVIZ - Analysis and Visualization
Inria Saclay - Ile de France, LISN - Laboratoire Interdisciplinaire des Sciences du Numérique, IaH - Interaction avec l'Humain
4 University of Stuttgart
5 UON - University of Nottingham, UK
6 ODU - Old Dominion University [Norfolk]
7 Penn State - Pennsylvania State University
Abstract : This dataset contains three benchmark datasets as part of the scholarly output of and ICDAR 2021 paper: Meng Ling, Jian Chen, Torsten Moller, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Robert S. Laramee, Han-Wei Shen, Jian Wu, and C. Lee Giles, Document Domain Randomization for Deep Learning Document Layout Extraction, 16th International Conference on Document Analysis and Recognition (ICDAR) 2021. September 5-10, Lausanne, Switzerland. This dataset contains nine class labels: abstract, algorithm, author, body text, caption, equation, figure, table, and title.
Keywords : scientific papers Article layout analysis
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https://hal.inria.fr/hal-03229891
Contributor : Isenberg Tobias Connect in order to contact the contributor
Submitted on : Wednesday, May 19, 2021 - 12:25:20 PM
Last modification on : Friday, February 4, 2022 - 3:08:26 AM

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Distributed under a Creative Commons Attribution 4.0 International License

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CNRS | CENTRALESUPELEC | INRIA | LISN | GS-COMPUTER-SCIENCE | LISN-AVIZ | UNIV-PARIS-SACLAY | GS-ENGINEERING | INRIA2

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Meng Ling, Jian Chen, Torsten Möller, Petra Isenberg, Tobias Isenberg, et al.. Three Benchmark Datasets for Scholarly Article Layout Analysis. 2021, ⟨10.21227/326q-bf39⟩. ⟨hal-03229891⟩

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