Table Recognition

10 benchmarks50 papers

Table recognition refers to the process of automatically identifying and extracting tabular structures from unstructured data sources such as text documents, images, or scanned documents. The goal of table recognition is to accurately detect the presence of tables within the data and extract their contents, including rows, columns, headers, and cell values.

Benchmarks

Table Recognition on PubTabNet

TEDS (all samples)TEDS-Struct

Table Recognition on Table Recognition Challenge mini-test

TEDS (all samples)TEDS (simple samples)TEDS (complex samples)

Table Recognition on Table Recognition Challenge test

TEDS (all samples)TEDS (simple samples)TEDS (complex samples)

Table Recognition on ICDAR2013 table structure recognition

F-Measure

Table Recognition on WTW

F1