Document layout

This dataset contains three benchmark datasets as part of the scholarly output of an ICDAR 2021 paper: 

Meng Ling, Jian Chen, Torsten Möller, 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 lables: abstract, algorithm, author, body text, caption, equation, figure, table, and title.