Model card
UNITS.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark UNITS has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-generic-lexicon | 80.3% | #1 | 2023-04-07 | source ↗ |
| 02 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-strong-lexicon | 89.0% | #1 | 2023-04-07 | source ↗ |
| 03 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-weak-lexicon | 84.1% | #1 | 2023-04-07 | source ↗ |
| 04 | Total-Text | Computer Vision · Scene Text Detection | f-measure-full-lexicon | 86.0% | #4 | 2023-04-07 | source ↗ |
| 05 | Total-Text | Computer Vision · Scene Text Detection | f-measure-no-lexicon | 78.7% | #5 | 2023-04-07 | 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 UNITS.
- 2023-04-07· Computer Vision· 5 results
Towards Unified Scene Text Spotting based on Sequence Generation
§ 04 · Related models
Other Unknown models scored on Codesota.
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
5
results
5 of 5 rows marked verified.