Codesota · Benchmark · hostHome/Leaderboards/Vision & Documents/Scene Text Recognition/host
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host.

host 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 host.

Paper Leaderboard
§ 01 · SOTA history

Year over year.

§ 02 · Leaderboard

Results by metric.

Only 3 models on this benchmark
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1 1 Accuracy

1 1 Accuracy is the reported evaluation metric for host. 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 1 1 Accuracyverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01CLIP4STR-L
From paper: CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
verified82.72023Paper ↗Code ↗Looks wrong?
02CLIP4STR-B
From paper: CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
verified79.82023Paper ↗Code ↗Looks wrong?
03CCD-ViT-Base
From paper: Self-supervised Character-to-Character Distillation for Text Recognition
verified77.32022Paper ↗Code ↗Looks wrong?
§ 04 · Submit a result

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