Codesota · Models · CHARUnknown2 results · 2 benchmarks
Model card

CHAR.

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 02 · Benchmarks

Every benchmark CHAR has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01icdar2013Computer Vision · Optical Character Recognitionaccuracy79.5%#36/362014-06-09source ↗
02svtComputer Vision · Scene Text Recognitionaccuracy68.0%#40/402014-06-09source ↗
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.
§ 03 · Strengths by area

Where CHAR actually performs.

Computer Vision
2
benchmarks
avg rank #38.0
§ 04 · Papers

1 paper with results for CHAR.

  1. 2014-06-09· Computer Vision· 2 results

    Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition

§ 05 · Related models

Other Unknown models scored on Codesota.

CRAFT
Unknown params · 21 results
GPT-2-Large (fine-tuning)
Unknown params · 20 results
HTLM (fine-tuning)
Unknown params · 20 results
TextFuseNet (ResNeXt-101)
Unknown params · 16 results
MixNet
Unknown params · 13 results
PAN
Unknown params · 12 results
SPCNET
Unknown params · 12 results
TESTR
Unknown params · 12 results
§ 06 · Sources & freshness

Where these numbers come from.

papers-with-code
2
results
2 of 2 rows marked verified.