Model card
MGP-STR.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark MGP-STR has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | coco-text | Computer Vision · Scene Text Detection | 1-1-accuracy | 81.7% | #2 | 2022-09-08 | source ↗ |
| 02 | svtp | Computer Vision · Scene Text Recognition | accuracy | 98.3% | #2 | 2022-09-08 | source ↗ |
| 03 | uber-text | Computer Vision · Scene Text Recognition | accuracy | 91.0% | #2 | 2022-09-08 | source ↗ |
| 04 | cute80 | Computer Vision · Scene Text Recognition | accuracy | 99.3% | #3 | 2022-09-08 | source ↗ |
| 05 | icdar2013 | Computer Vision · Optical Character Recognition | accuracy | 98.5% | #3 | 2022-09-08 | source ↗ |
| 06 | svt | Computer Vision · Scene Text Recognition | accuracy | 98.6% | #3 | 2022-09-08 | source ↗ |
| 07 | ic19-art | Computer Vision · Scene Text Detection | accuracy | 85.5% | #4 | 2022-09-08 | source ↗ |
| 08 | icdar2015 | Computer Vision · Optical Character Recognition | accuracy | 90.9% | #6 | 2022-09-08 | source ↗ |
| 09 | iiit5k | Computer Vision · Scene Text Recognition | accuracy | 98.8% | #8 | 2022-09-08 | 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 MGP-STR.
- 2022-09-08· Computer Vision· 9 results
Multi-Granularity Prediction for Scene Text Recognition
§ 04 · Related models
Other Unknown models scored on Codesota.
fglihai
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WordSup (VGG16-synth-coco)
Unknown params · 3 results
§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
9
results
9 of 9 rows marked verified.