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Codesota · Tasks · Document Layout AnalysisHome/Tasks/Computer Vision/Document Layout Analysis
Computer Vision

Document Layout Analysis.

Analyzing the layout structure of documents

5
Datasets
133
Results
accuracy
Canonical metric
§ 02 · Canonical benchmark

The reference dataset.

d4la

Dataset from Papers With Code

Primary metric: accuracy
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§ 03 · Top 10

Leading models.

Leading models on d4la.

#ModelmapYearSource
★DoPTA✓70.72024paper ↗
2DocLayout-YOLO✓70.32024paper ↗
3VGT✓68.82023paper ↗

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§ 04 · All datasets

Tracked datasets.

5 datasets tracked for this task.

d4la
CANONICAL
3 results · accuracy
Top: DoPTA — 70.7
publaynet-val
92 results · accuracy
Top: Hybrid DLA (Shehzadi et al.) — 0.986
document-layout-recognition-challenge-test
18 results · f1
Top: fglihai — 0.970
document-layout-recognition-challenge-mini-dev
12 results · accuracy
Top: fglihai — 1.00
u-diads-bib
8 results · accuracy
Top: CV-Group — 83.4
§ 05 · Related tasks

Other tasks in Computer Vision.

Document Image ClassificationDocument ParsingDocument UnderstandingGeneral OCR CapabilitiesHandwriting RecognitionImage Feature ExtractionImage-to-3DImage-to-Image
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