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Codesota · Tasks · Table RecognitionHome/Tasks/Computer Vision/Table Recognition

Table Recognition.

Detecting and parsing tables in documents

5
Datasets
71
Results
accuracy
Canonical metric
§ 02 · Canonical benchmark

The reference dataset.

icdar2013-table-structure-recognition

Dataset from Papers With Code

Primary metric: accuracy
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§ 03 · Top 10

Leading models.

Leading models on icdar2013-table-structure-recognition.

#Modelf-measureYearSource
Proposed System (With post- processing)95.52021paper ↗

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§ 04 · All datasets

Tracked datasets.

5 datasets tracked for this task.

icdar2013-table-structure-recognition
CANONICAL
1 result · accuracy
Top: Proposed System (With post- processing) 95.5
table-recognition-challenge-mini-test
33 results · accuracy
Top: Re0 98.3
pubtabnet
30 results · accuracy
Top: TFLOP 98.4
table-recognition-challenge-test
6 results · accuracy
Top: Habitat-Web 91.9
wtw
1 result · accuracy
Top: StrucTexTv2 (small) 78.9
§ 05 · Related tasks

Other tasks in Computer Vision.

Document Image ClassificationDocument Layout AnalysisDocument ParsingDocument UnderstandingGeneral OCR CapabilitiesHandwriting RecognitionImage Feature ExtractionImage-to-3D
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