Codesota · Benchmark · iam(line-level)Home/Leaderboards/Vision & Documents/Document OCR/iam(line-level)
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iam(line-level).

iam(line-level) is a state-of-the-art machine learning benchmark indexed on Codesota. This page tracks published model results, top scores per metric, and the SOTA timeline for iam(line-level).

Paper ↗Leaderboard ↓
§ 01 · SOTA history

Year over year.

§ 02 · Leaderboard

Results by metric.

Found a wrong score or missing run?
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Test Wer

Test Wer is the reported evaluation metric for iam(line-level). Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.

Higher is better

Trust tiers for Test Werverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01GFCN
From paper: Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network
verified28.62020Paper ↗Code ↗Looks wrong?
02OrigamiNet-12
From paper: OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
verified22.32020Paper ↗Code ↗Looks wrong?
03VAN
From paper: End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network
verified16.32020Paper ↗Code ↗Looks wrong?
04HTR-VT
From paper: HTR-VT: Handwritten Text Recognition with Vision Transformer
verified14.92024Paper ↗Code ↗Looks wrong?

Test Cer

Test Cer is the reported evaluation metric for iam(line-level). Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.

Higher is better

Trust tiers for Test Cerverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01GFCN
From paper: Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network
verified8.002020Paper ↗Code ↗Looks wrong?
02OrigamiNet-12
From paper: OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
verified6.002020Paper ↗Code ↗Looks wrong?
03VAN
From paper: End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network
verified5.002020Paper ↗Code ↗Looks wrong?
04HTR-VT
From paper: HTR-VT: Handwritten Text Recognition with Vision Transformer
verified4.702024Paper ↗Code ↗Looks wrong?
05TrOCR
From paper: TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
verified3.402021Paper ↗Code ↗Looks wrong?
§ 04 · Submit a result

Add to the leaderboard.

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