ICDAR 2023 Competition on Hierarchical Text Detection and Recognition
Shangbang Long Siyang Qin Dmitry Panteleev Alessandro Bissacco Yasuhisa Fujii Michalis Raptis
We organize a competition on hierarchical text detection and recognition. The
competition is aimed to promote research into deep learning models and systems
that can jointly perform text detection and recognition and geometric layout
analysis. We present details of the proposed competition organization,
including tasks, datasets, evaluations, and schedule. During the competition
period (from January 2nd 2023 to April 1st 2023), at least 50 submissions from
more than 20 teams were made in the 2 proposed tasks. Considering the number of
teams and submissions, we conclude that the HierText competition has been
successfully held. In this report, we will also present the competition results
and insights from them.