Codesota · Models · WordSup (VGG16-synth-icdar)Unknown6 results · 2 benchmarks
Model card

WordSup (VGG16-synth-icdar).

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 02 · Benchmarks

Every benchmark WordSup (VGG16-synth-icdar) has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01icdar-2013Computer Vision · Scene Text Detectionf-measure90.3%#4/152017-08-22source ↗
02icdar-2013Computer Vision · Scene Text Detectionprecision93.3%#5/142017-08-22source ↗
03icdar-2013Computer Vision · Scene Text Detectionrecall87.5%#5/142017-08-22source ↗
04ICDAR 2015Computer Vision · Scene Text Detectionrecall77.0%#37/412017-03-19source ↗
05ICDAR 2015Computer Vision · Scene Text Detectionf-measure78.2%#39/432017-03-19source ↗
06ICDAR 2015Computer Vision · Scene Text Detectionprecision79.3%#39/412017-03-19source ↗
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 WordSup (VGG16-synth-icdar) actually performs.

Computer Vision
2
benchmarks
avg rank #21.5
§ 04 · Papers

2 papers with results for WordSup (VGG16-synth-icdar).

  1. 2017-08-22· Computer Vision· 3 results

    WordSup: Exploiting Word Annotations for Character based Text Detection

  2. 2017-03-19· Computer Vision· 3 results

    Detecting Oriented Text in Natural Images by Linking Segments

§ 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
6
results
6 of 6 rows marked verified. · first result 2017-03-19, latest 2017-08-22.