What is the state-of-the-art score on benchmarking-chinese-text-recognition:-datasets,-b?

The state-of-the-art result on benchmarking-chinese-text-recognition:-datasets,-b is 89.6 (Accuracy), achieved by DTrOCR as of 2023.

How many models are tracked on benchmarking-chinese-text-recognition:-datasets,-b?

Codesota tracks 7 models on benchmarking-chinese-text-recognition:-datasets,-b.

When was the benchmarking-chinese-text-recognition:-datasets,-b leaderboard last updated?

The benchmarking-chinese-text-recognition:-datasets,-b leaderboard on Codesota includes results through 2023, with the earliest tracked result from 2019.

Codesota · Benchmark · benchmarking-chinese-text-recognition:-datasets,-bHome/Leaderboards/Vision & Documents/Document OCR/benchmarking-chinese-text-recognition:-datasets,-b

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benchmarking-chinese-text-recognition:-datasets,-b.

Name: benchmarking-chinese-text-recognition:-datasets,-b Benchmark Results
Creator: Unknown
Published: 2019-01-01
License: https://creativecommons.org/licenses/by/4.0/

benchmarking-chinese-text-recognition:-datasets,-b 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 benchmarking-chinese-text-recognition:-datasets,-b.

Paper ↗Leaderboard ↓

§ 01 · SOTA history

Year over year.

§ 02 · Leaderboard

Results by metric.

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Accuracy

Accuracy is the reported evaluation metric for benchmarking-chinese-text-recognition:-datasets,-b. 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 Accuracyverifiedpapervendorcommunityunverified

Rank	Model	Trust	Score	Year	Links	Fix
01	DTrOCR From paper: DTrOCR: Decoder-only Transformer for Optical Character Recognition	verified	89.6	2023	Paper ↗Code ↗	Looks wrong?
02	DTrOCR 105M From paper: DTrOCR: Decoder-only Transformer for Optical Character Recognition	verified	89.6	2023	Paper ↗Code ↗	Looks wrong?
03	MaskOCR-L From paper: MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining	verified	82.6	2022	Paper ↗	Looks wrong?
04	TransOCR From paper: Scene Text Telescope: Text-Focused Scene Image Super-Resolution	verified	72.8	2021	Paper ↗Code ↗	Looks wrong?
05	SRN From paper: Towards Accurate Scene Text Recognition with Semantic Reasoning Networks	verified	65	2020	Paper ↗Code ↗	Looks wrong?
06	MORAN From paper: A Multi-Object Rectified Attention Network for Scene Text Recognition	verified	64.3	2019	Paper ↗Code ↗	Looks wrong?
07	SEED From paper: SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition	verified	61.2	2020	Paper ↗Code ↗	Looks wrong?

§ 04 · Submit a result

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