Computer Vision

Table Recognition

Detecting and parsing tables in documents

5 datasets38 results

Table Recognition is a key task in computer vision. Below you will find the standard benchmarks used to evaluate models, along with current state-of-the-art results.

Benchmarks & SOTA

pubtabnet

202018 results

Dataset from Papers With Code

State of the Art

Multi-Task Learning Model

97.88

teds-struct

table-recognition-challenge-mini-test

202012 results

Dataset from Papers With Code

State of the Art

Re0

98.35

teds-simple-samples

table-recognition-challenge-test

20206 results

Dataset from Papers With Code

State of the Art

EDD

91.87

teds-simple-samples

icdar2013-table-structure-recognition

20201 results

Dataset from Papers With Code

State of the Art

Proposed System (With post- processing)

95.46

f-measure

wtw

20201 results

Dataset from Papers With Code

State of the Art

StrucTexTv2 (small)

78.9

f1

Related Tasks

General OCR Capabilities

Comprehensive benchmarks covering multiple aspects of OCR performance.

Polish OCR

OCR for Polish language including historical documents, gothic fonts, and diacritic recognition.

Image Classification

Categorizing images into predefined classes (ImageNet, CIFAR).

Object Detection

Locating and classifying objects in images (COCO, Pascal VOC).

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