Codesota · Models · SegLinkUnknown9 results · 3 benchmarks
Model card

SegLink.

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 01 · Benchmarks

Every benchmark SegLink has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01icdar-2013Computer Vision · Scene Text Detectionrecall83.0%#11/142017-03-19source ↗
02icdar-2013Computer Vision · Scene Text Detectionf-measure85.3%#11/152017-03-19source ↗
03icdar-2013Computer Vision · Scene Text Detectionprecision87.7%#13/142017-03-19source ↗
04msra-td500Computer Vision · Scene Text Detectionprecision86.0%#21/232017-03-19source ↗
05msra-td500Computer Vision · Scene Text Detectionrecall70.0%#23/242017-03-19source ↗
06msra-td500Computer Vision · Scene Text Detectionf-measure77.0%#23/242017-03-19source ↗
07ICDAR 2015Computer Vision · Scene Text Detectionrecall76.8%#38/412016-04-14source ↗
08ICDAR 2015Computer Vision · Scene Text Detectionprecision73.1%#40/412016-04-14source ↗
09ICDAR 2015Computer Vision · Scene Text Detectionf-measure75.0%#42/432016-04-14source ↗
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 SegLink actually performs.

Computer Vision
3
benchmarks
avg rank #24.7
§ 03 · Papers

2 papers with results for SegLink.

  1. 2017-03-19· Computer Vision· 6 results

    Detecting Oriented Text in Natural Images by Linking Segments

  2. 2016-04-14· Computer Vision· 3 results

    Multi-Oriented Text Detection with Fully Convolutional Networks

§ 04 · Related models

Other Unknown models scored on Codesota.

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§ 05 · Sources & freshness

Where these numbers come from.

papers-with-code
9
results
9 of 9 rows marked verified. · first result 2016-04-14, latest 2017-03-19.