Codesota · Models · TextScannerUnknown3 results · 3 benchmarks
Model card

TextScanner.

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 01 · Benchmarks

Every benchmark TextScanner has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01icdar2015Computer Vision · Optical Character Recognitionaccuracy79.4%#21/292019-12-28source ↗
02icdar2013Computer Vision · Optical Character Recognitionaccuracy92.9%#25/362019-12-28source ↗
03svtComputer Vision · Scene Text Recognitionaccuracy90.1%#27/402019-12-28source ↗
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area

Where TextScanner actually performs.

Computer Vision
3
benchmarks
avg rank #24.3
§ 03 · Papers

1 paper with results for TextScanner.

  1. 2019-12-28· Computer Vision· 3 results

    TextScanner: Reading Characters in Order for Robust Scene Text Recognition

§ 04 · Related models

Other Unknown models scored on Codesota.

fglihai
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CLIP4STR-L
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EAST + VGG16
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SSTD
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TextBoxes++_MS
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WordSup (VGG16-synth-coco)
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§ 05 · Sources & freshness

Where these numbers come from.

papers-with-code
3
results
3 of 3 rows marked verified.