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Codesota · Tasks · Document Image ClassificationHome/Tasks/Computer Vision/Document Image Classification

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.

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