Model card
TextDragon.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark TextDragon has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | scut-ctw1500 | Computer Vision · Optical Character Recognition | f-measure-full-lexicon | 72.4% | #10 | 2019-10-01 | source ↗ |
| 02 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-weak-lexicon | 78.3% | #11 | 2019-10-01 | source ↗ |
| 03 | scut-ctw1500 | Computer Vision · Optical Character Recognition | f-measure-no-lexicon | 39.7% | #11 | 2019-10-01 | source ↗ |
| 04 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-strong-lexicon | 82.5% | #14 | 2019-10-01 | source ↗ |
| 05 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-generic-lexicon | 65.2% | #15 | 2019-10-01 | source ↗ |
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 · Papers
1 paper with results for TextDragon.
- 2019-10-01· Computer Vision· 5 results
TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting
§ 04 · Related models
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
5
results
5 of 5 rows marked verified.