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

Handwriting Recognition.

Recognizing handwritten text

6
Datasets
40
Results
Canonical metric
§ 02 · Canonical benchmark

The reference dataset.

Seeking canonical benchmark for this task.

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§ 03 · Top 10

Leading models.

Leading models across all datasets in this task.

#Model1-1-accuracyYearSource
KHCR97.02022paper ↗
2AKHCRNet96.82020paper ↗
3Start, Follow, Read23.22018paper ↗
4Decouple Attention Network19.62019paper ↗
5VAN16.22020paper ↗
6Leaky LP Cell15.92019paper ↗
7HTR-VT(line-level)14.92024paper ↗
8HTR-ConvText12.92024paper ↗
9AKHCRNet11.02020paper ↗
10MetaWriter10.32025paper ↗

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§ 04 · All datasets

Tracked datasets.

6 datasets tracked for this task.

IAM
32 results · cer
Top: Start, Follow, Read 23.2
kohtd
4 results · accuracy
Top: Bluche 8.36
banglalekha-isolated-dataset
3 results · accuracy
Top: AKHCRNet 96.8
an-extensive-dataset-of-handwritten-central-kurdis
1 result · accuracy
Top: KHCR 97.0
Polish EMNIST Extension
0 results · accuracy
RIMES
0 results · cer
§ 05 · Related tasks

Other tasks in Computer Vision.

Document Image ClassificationDocument Layout AnalysisDocument ParsingDocument UnderstandingGeneral OCR CapabilitiesImage Feature ExtractionImage-to-3DImage-to-Image
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