Codesota · Models · MGP-STRUnknown9 results · 9 benchmarks
Model card

MGP-STR.

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 02 · Benchmarks

Every benchmark MGP-STR has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01coco-textComputer Vision · Scene Text Detection1-1-accuracy81.7%#2/32022-09-08source ↗
02svtpComputer Vision · Scene Text Recognitionaccuracy98.3%#2/192022-09-08source ↗
03uber-textComputer Vision · Scene Text Recognitionaccuracy91.0%#2/32022-09-08source ↗
04cute80Computer Vision · Scene Text Recognitionaccuracy99.3%#3/202022-09-08source ↗
05icdar2013Computer Vision · Optical Character Recognitionaccuracy98.5%#3/362022-09-08source ↗
06svtComputer Vision · Scene Text Recognitionaccuracy98.6%#3/402022-09-08source ↗
07ic19-artComputer Vision · Scene Text Detectionaccuracy85.5%#4/42022-09-08source ↗
08icdar2015Computer Vision · Optical Character Recognitionaccuracy90.9%#6/292022-09-08source ↗
09iiit5kComputer Vision · Scene Text Recognitionaccuracy98.8%#8/212022-09-08source ↗
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 · Strengths by area

Where MGP-STR actually performs.

Computer Vision
9
benchmarks
avg rank #3.7
§ 04 · Papers

1 paper with results for MGP-STR.

  1. 2022-09-08· Computer Vision· 9 results

    Multi-Granularity Prediction for Scene Text Recognition

§ 05 · Related models

Other Unknown models scored on Codesota.

CRAFT
Unknown params · 21 results
GPT-2-Large (fine-tuning)
Unknown params · 20 results
HTLM (fine-tuning)
Unknown params · 20 results
TextFuseNet (ResNeXt-101)
Unknown params · 16 results
MixNet
Unknown params · 13 results
PAN
Unknown params · 12 results
SPCNET
Unknown params · 12 results
TESTR
Unknown params · 12 results
§ 06 · Sources & freshness

Where these numbers come from.

papers-with-code
9
results
9 of 9 rows marked verified.