Optical Character Recognition (OCR) on LAM(line-level)

Metric: Test WER (lower is better)

LeaderboardDataset

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#	Model↕	Test WER▲	Augmentations	Paper	Date↕	Code
1	HTR-VT	7.4	No	HTR-VT: Handwritten Text Recognition with Vision...	2024-09-13	Code
2	OrigamiNet-24	11	No	OrigamiNet: Weakly-Supervised, Segmentation-Free...	2020-06-12	Code
3	OrigamiNet-18	11.1	No	OrigamiNet: Weakly-Supervised, Segmentation-Free...	2020-06-12	Code
4	OrigamiNet-12	11.2	No	OrigamiNet: Weakly-Supervised, Segmentation-Free...	2020-06-12	Code
5	TrOCR	11.6	Yes	TrOCR: Transformer-based Optical Character Recog...	2021-09-21	Code
6	GFCN	18.5	No	Recurrence-free unconstrained handwritten text r...	2020-12-09	Code

#1HTR-VTSOTA
7.4
Test WER· 2024-09-13
HTR-VT: Handwritten Text Recognition with Vision Transformer Code
#2OrigamiNet-24SOTA
11
Test WER· 2020-06-12
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold Code
#3OrigamiNet-18SOTA
11.1
Test WER· 2020-06-12
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold Code
#4OrigamiNet-12SOTA
11.2
Test WER· 2020-06-12
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold Code
#5TrOCR
11.6
Test WER· Augmentations· 2021-09-21
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models Code
#6GFCN
18.5
Test WER· 2020-12-09
Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network Code