Who leads the svt-p benchmark?

ABINet-LV+TPS++ currently leads svt-p with a score of 89.6 on Accuracy.

What is the state-of-the-art score on svt-p?

The state-of-the-art result on svt-p is 89.6 (Accuracy), achieved by ABINet-LV+TPS++ as of 2023.

How many models are tracked on svt-p?

Codesota tracks 1 model on svt-p.

When was the svt-p leaderboard last updated?

The svt-p leaderboard on Codesota includes results through 2023.

Codesota · Benchmark · svt-pHome/Leaderboards/Vision & Documents/Scene Text Recognition/svt-p

Unknown

svt-p.

Name: svt-p Benchmark Results
Creator: Unknown
Published: 2023-01-01
License: https://creativecommons.org/licenses/by/4.0/

svt-p 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 svt-p.

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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Add / edit result ↗Report issue ↗

Accuracy

Accuracy is the reported evaluation metric for svt-p. 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	ABINet-LV+TPS++ From paper: TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition	verified	89.6	2023	Paper ↗Code ↗	Looks wrong?

§ 04 · Submit a result

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