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Three Benchmark Datasets for Scholarly Article Layout Analysis

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.
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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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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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