About
This competition investigates the performance of large-scale retrieval of historical document fragments based on writer recognition. The analysis of historic fragments is a difficult challenge commonly solved by trained humanists. To simulate fragments, we extract random text patches from historical document images. The goal is then to find similar patches of the same page or manuscript. The document images are provided by several institutions and different genres (manuscripts, letters, charters).

Data
Training set: ~100k fragments
Test set: 20k new fragments (1st of May)

Submission deadline: 15th of May

More information: https://lme.tf.fau.de/research/competitions/hisfragir20/

Good luck!
Vincent Christlein