Who leads the scene-text-recognition-benchmarks benchmark?

CCD-ViT-Small currently leads scene-text-recognition-benchmarks with a score of 84.9 on Accuracy.

What is the state-of-the-art score on scene-text-recognition-benchmarks?

The state-of-the-art result on scene-text-recognition-benchmarks is 84.9 (Accuracy), achieved by CCD-ViT-Small as of 2022.

How many models are tracked on scene-text-recognition-benchmarks?

Codesota tracks 1 model on scene-text-recognition-benchmarks.

When was the scene-text-recognition-benchmarks leaderboard last updated?

The scene-text-recognition-benchmarks leaderboard on Codesota includes results through 2022.

Codesota · Benchmark · scene-text-recognition-benchmarksHome/Leaderboards/Vision & Documents/Document OCR/scene-text-recognition-benchmarks

Unknown

scene-text-recognition-benchmarks.

Name: scene-text-recognition-benchmarks Benchmark Results
Creator: Unknown
Published: 2022-01-01
License: https://creativecommons.org/licenses/by/4.0/

scene-text-recognition-benchmarks 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 scene-text-recognition-benchmarks.

Paper ↗Leaderboard ↓

§ 01 · Leaderboard

Results by metric.

Only 1 model on this benchmark

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Found a wrong score or missing run?

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Accuracy

Accuracy is the reported evaluation metric for scene-text-recognition-benchmarks. 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	CCD-ViT-Small From paper: Self-supervised Character-to-Character Distillation for Text Recognition	verified	84.9	2022	Paper ↗Code ↗	Looks wrong?

§ 04 · Submit a result

Add to the leaderboard.

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