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Computer Vision

Document Image Classification.

Classifying documents by type or category

7
Datasets
63
Results
accuracy
Canonical metric
§ 02 · Canonical benchmark

The reference dataset.

aip

Dataset from Papers With Code

Primary metric: accuracy
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§ 03 · Top 10

Leading models.

Leading models on aip.

#Modeltop-1-accuracy-verbYearSource
★ResNet-RS (ResNet-200 + RS training tricks)✓83.42021paper ↗

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§ 04 · All datasets

Tracked datasets.

7 datasets tracked for this task.

aip
CANONICAL
1 result · accuracy
Top: ResNet-RS (ResNet-200 + RS training tricks) — 83.4
rvl-cdip
38 results · accuracy
Top: EAML — 97.7
tobacco-3482
18 results · accuracy
Top: HEADoC-Large — 96.7
noisy-bangla-characters
2 results · accuracy
Top: PCGAN-CHAR — 89.5
noisy-bangla-numeral
2 results · accuracy
Top: PCGAN-CHAR — 96.7
n-mnist
1 result · accuracy
Top: Pixel-level RC — 97.6
noisy-mnist
1 result · accuracy
Top: PCGAN-CHAR — 98.4
§ 05 · Related tasks

Other tasks in Computer Vision.

3D UnderstandingDepth estimationDocument Layout AnalysisDocument ParsingDocument UnderstandingGeneral OCR CapabilitiesHandwriting RecognitionImage Classification
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