Three Benchmark Datasets for Scholarly Article Layout Analysis - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Other Publications Year : 2021

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.
Vignette du fichier
dataset-big (1).jpg (789.22 Ko) Télécharger le fichier
Format : Figure, Image
Origin : Files produced by the author(s)

Dates and versions

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

Licence

Attribution

Identifiers

Cite

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⟩
197 View
1 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More