# Scene Text Recognition on Standard STR Benchmark Suite Average (test)

Source: [Scene Text Recognition on Standard STR Benchmark Suite Average (test)](<https://www.sota2.com/research/sota/scene-text-recognition-on-standard-str-benchmark-suite-average-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:35:18.047Z

Evaluation of Scene Text Recognition performance on the test split average results of the Standard STR Benchmark Suite.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Scene Text Recognition |
| Dataset (including any stated split) | Standard STR Benchmark Suite Average (test) |
| Metric | Average Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 14 of 14 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Average Accuracy](<https://www.sota2.com/research/sota/scene-text-recognition-on-standard-str-benchmark-suite-average-test.md?metric=Average%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Average Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MGP-STR Fuse | 93.35 | Not recorded | 68fa6dac1e209131cea3b5f6 |
| MGP-STR Vision | 92.73 | Not recorded | 68fa6dac1e209131cea3b5f6 |
| ABINet | 92.6 | Not recorded | 68fa6dac1e209131cea3b5f6 |
| VisionLAN | 91.2 | Not recorded | 68fa6dac1e209131cea3b5f6 |
| SRN | 90.4 | Not recorded | 68fa6dac1e209131cea3b5f6 |
| MASTER | 89.5 | Not recorded | 68fa6dac1e209131cea3b5f6 |
| SATRN | 88.6 | Not recorded | 68fa6dac1e209131cea3b5f6 |
| TextScanner | 88.5 | Not recorded | 68fa6dac1e209131cea3b5f6 |
| RobustScanner | 88.4 | Not recorded | 68fa6dac1e209131cea3b5f6 |
| SE-ASTER | 88.3 | Not recorded | 68fa6dac1e209131cea3b5f6 |
| DAN | 87.2 | Not recorded | 68fa6dac1e209131cea3b5f6 |
| ESIR | 87.1 | Not recorded | 68fa6dac1e209131cea3b5f6 |
| ViTSTR | 85.6 | Not recorded | 68fa6dac1e209131cea3b5f6 |
| TBRA | 84.6 | Not recorded | 68fa6dac1e209131cea3b5f6 |

### MGP-STR Fuse

Average Accuracy: 93.35. Result ID: 698fd3133a6c314849fc1fc4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Implementation](<https://github.com/AlibabaResearch/AdvancedLiterateMachinery/tree/main/OCR/MGP-STR>)

Recorded evaluation configuration: {"Training Data":"MJ and ST","Lexicon":"None"}. This record does not assert independent reproduction.

### MGP-STR Vision

Average Accuracy: 92.73. Result ID: 698fd3133a6c314849fc1fc3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Implementation](<https://github.com/AlibabaResearch/AdvancedLiterateMachinery/tree/main/OCR/MGP-STR>)

Recorded evaluation configuration: {"Training Data":"MJ and ST","Lexicon":"None"}. This record does not assert independent reproduction.

### ABINet

Average Accuracy: 92.6. Result ID: 698fd3133a6c314849fc1fc2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa697f1e209131cea227bf.md>)

[Implementation](<https://github.com/FangShancheng/ABINet>)

Recorded evaluation configuration: {"Training Data":"MJ and ST","Lexicon":"None"}. This record does not assert independent reproduction.

### VisionLAN

Average Accuracy: 91.2. Result ID: 698fd3133a6c314849fc1fc1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a991e209131cea293e3.md>)

Recorded evaluation configuration: {"Training Data":"MJ and ST","Lexicon":"None"}. This record does not assert independent reproduction.

### SRN

Average Accuracy: 90.4. Result ID: 698fd3133a6c314849fc1fc0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa673b1e209131cea150df.md>)

Recorded evaluation configuration: {"Training Data":"MJ and ST","Lexicon":"None"}. This record does not assert independent reproduction.

### MASTER

Average Accuracy: 89.5. Result ID: 698fd3133a6c314849fc1fbf.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69b91e209131cea23c06.md>)

Recorded evaluation configuration: {"Training Data":"MJ and ST","Lexicon":"None"}. This record does not assert independent reproduction.

### SATRN

Average Accuracy: 88.6. Result ID: 698fd3133a6c314849fc1fbe.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa667f1e209131cea10ac8.md>)

Recorded evaluation configuration: {"Training Data":"MJ and ST","Lexicon":"None"}. This record does not assert independent reproduction.

### TextScanner

Average Accuracy: 88.5. Result ID: 698fd3133a6c314849fc1fbd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66e61e209131cea13028.md>)

Recorded evaluation configuration: {"Training Data":"MJ and ST","Lexicon":"None"}. This record does not assert independent reproduction.

### RobustScanner

Average Accuracy: 88.4. Result ID: 698fd3133a6c314849fc1fbc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67f71e209131cea197e1.md>)

Recorded evaluation configuration: {"Training Data":"MJ and ST","Lexicon":"None"}. This record does not assert independent reproduction.

### SE-ASTER

Average Accuracy: 88.3. Result ID: 698fd3133a6c314849fc1fbb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67981e209131cea174b5.md>)

[Implementation](<https://github.com/Pay20Y/SEED>)

Recorded evaluation configuration: {"Training Data":"MJ and ST","Lexicon":"None"}. This record does not assert independent reproduction.

### DAN

Average Accuracy: 87.2. Result ID: 698fd3133a6c314849fc1fba.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66d51e209131cea12c4c.md>)

[Implementation](<https://github.com/Wang-Tianwei/Decoupled-attention-network>)

Recorded evaluation configuration: {"Training Data":"MJ and ST","Lexicon":"None"}. This record does not assert independent reproduction.

### ESIR

Average Accuracy: 87.1. Result ID: 698fd3133a6c314849fc1fb9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa658e1e209131cea0b239.md>)

Recorded evaluation configuration: {"Training Data":"MJ and ST","Lexicon":"None"}. This record does not assert independent reproduction.

### ViTSTR

Average Accuracy: 85.6. Result ID: 698fd3133a6c314849fc1fb8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69ef1e209131cea250ab.md>)

[Implementation](<https://github.com/roatienza/deep-text-recognition-benchmark>)

Recorded evaluation configuration: {"Training Data":"MJ and ST","Lexicon":"None"}. This record does not assert independent reproduction.

### TBRA

Average Accuracy: 84.6. Result ID: 698fd3133a6c314849fc1fb7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dac1e209131cea3b5f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66d21e209131cea12a42.md>)

[Implementation](<https://github.com/clovaai/deep-text-recognition-benchmark>)

Recorded evaluation configuration: {"Training Data":"MJ and ST","Lexicon":"None"}. This record does not assert independent reproduction.

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