ICFHR2022 Competition on Detection and Recognition of Greek Letters on Papyri

Symbolic picture for the article. The link opens the image in a large view.
Homer, Ilias(C) Staatliche Museen zu Berlin, Ägyptisches Museum und Papyrussammlung

This competition investigates the performance of glyph detection and recognition on a very challenging type of historical document: Greek papyri. The detection and recognition of Greek letters on papyri is a preliminary step for computational analysis of handwriting that can lead to major steps forward in our understanding of this major source of information on Antiquity. It can be done manually by trained papyrologists. It is however a time-consuming task that would need automatising. We provide two different tasks: localization and classification or classification only.The document images are provided by several institutions and are representative of the diversity of book hands on papyri (a millennium time span, various script styles, provenance, states of preservation, means of digitization and resolution).

Homer, Ilias 1, 54–64, 71–104, 114–123, 131–164, 412–433, 456–465, 494–534, 537–590, 602–609. 1. – 2. Jh. n.Chr.


  • Glyph (character) localization
  • Character classification


  • Jul 15: homepage running, registration already possible for being informed in case of updates, training dataset available
  • Updated Sep 14: result submission
  • Updated Sep 15: method summary submission (1-2 paragraphs)


The training data can be downloaded at the following address:


The data is composed of images, and JSON files in the COCO format. The evaluation will be done using the average precision (AP) defined by COCO for the localization, and the percentage of correct answers for the classification.

The test data can be downloaded at the following address:



We provide baseline codes in the following shared folder:



Participants are asked to register, so that they can be sent the test data on the 23rd of August. Moreover, should any modification to the training data be done, we will inform the participants.

To register, either send an e-mail to mathias.seuret AT fau DOT de, or fill the following form:


  • Isabelle Marthot-Santaniello
  • Stephen White
  • Olga Serbaeva Saraogi
  • Dalia Rodriguez-Salas
  • Vincent Christlein
  • Mathias Seuret