Overview - Document Information Localization and Extraction

DocILE is a large-scale research benchmark for cross-evaluation of machine learning methods for Key Information Localization and Extraction (KILE) and Line Item Recognition (LIR) from semi-structured business documents such as invoices, orders etc. Such large-scale benchmark was previously missing (Skalický et al., 2022), hindering comparative evaluation.

For additional information, we refer participants to https://docile.rossum.ai.

Competition and Prizes

The DocILE'23 competition is running as a CLEF 2023 lab and an ICDAR 2023 competition with a single leaderboard. The deadline for submissions is on May 24, 2023. The competition comes with a prize pool of $9000:

• Top three eligible teams on the KILE leaderboard will receive $2000, $1000 and $500 respectively.
• Top three eligible teams on the LIR leaderboard will receive $2000, $1000 and $500 respectively.
• A $2000 best-paper award, selected by the lab organizers and the steering committee.

In order to participate in the competition (and be eligible for prizes), you need to follow the competition rules. Most notably:

• You need to register using the CLEF Labs Registration Form.
• It is prohibited to use external document datasets and models trained on these datasets.