Model card
CHAR.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark CHAR has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | icdar2013 | Computer Vision · Optical Character Recognition | accuracy | 79.5% | #36 | 2014-06-09 | source ↗ |
| 02 | svt | Computer Vision · Scene Text Recognition | accuracy | 68.0% | #40 | 2014-06-09 | 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 CHAR.
- 2014-06-09· Computer Vision· 2 results
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition
§ 04 · Related models
Other Unknown models scored on Codesota.
fglihai
Unknown params · 6 results · 1 SOTA
CLIP4STR-L
Unknown params · 1 result · 1 SOTA
USYD NLP_CS29-2
Unknown params · 6 results
Corner-based Region Proposals
Unknown params · 3 results
EAST + VGG16
Unknown params · 3 results
SSTD
Unknown params · 3 results
TextBoxes++_MS
Unknown params · 3 results
WordSup (VGG16-synth-coco)
Unknown params · 3 results
§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
2
results
2 of 2 rows marked verified.