Codesota · Computer Vision · Scene Text Recognition · wostTasks/Computer Vision/Scene Text Recognition
Scene Text Recognition · benchmark dataset · 2020 · EN

wost.

Dataset from Papers With Code

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§ 01 · Leaderboard

Best published scores.

5 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.

Primary
accuracy · higher is better
1-1-accuracy
5 rows
#ModelOrgSubmittedPaper / code1-1-accuracy
01CLIP4STR-H (DFN-5B)—May 2023CLIP4STR: A Simple Baseline for Scene Text Recognition w… · code90.90
02CLIP4STR-L (DataComp-1B)—May 2023CLIP4STR: A Simple Baseline for Scene Text Recognition w… · code90.60
03CLIP4STR-L—May 2023CLIP4STR: A Simple Baseline for Scene Text Recognition w… · code88.80
04CLIP4STR-BResearchMay 2023CLIP4STR: A Simple Baseline for Scene Text Recognition w… · code87
05CCD-ViT-Base—Nov 2022Self-supervised Character-to-Character Distillation for … · code86
Fig 2 · Rows sorted by score within each metric. Shaded row marks SOTA. Dates reflect model or paper release where available, otherwise the date Codesota accessed the source.
§ 04 · Literature

2 papers
tied to this benchmark.

Every paper below corresponds to at least one row in the leaderboard above. Click through for the arXiv preprint and, when available, the reference implementation.

§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result ↵Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies