Table is a compact and efficient form for summarizing and presenting correlative information in handwritten and printed archival documents, scientific journals, reports, financial statements and so on. Table recognition is fundamental for the extraction of information from structured documents. The ICDAR 2019 cTDaR evaluates two aspects of table analysis: table detection and recognition. The participating methods will be evaluated on a modern dataset and archival documents with printed and handwritten tables present.
| Release of website and samples: | March 1, 2019 |
| Release of the training dataset: | March 10, 2019 |
| Release of the test dataset and evaluation tools: | March 25, 2019 |
| Deadline of result submission: | |
| Release of the annotations of the test dataset: |
The competition results is released, available here.
