Three Benchmark Datasets for Scholarly Article Layout Analysis - Archive ouverte HAL
Autre Publication Scientifique Année : 2021

Three Benchmark Datasets for Scholarly Article Layout Analysis

Résumé

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.

Domaines

Informatique
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Dates et versions

hal-03229891 , version 1 (19-05-2021)

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Identifiants

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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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