mmocr/configs/textrecog/crnn/README.md

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# An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition
## Introduction
[ALGORITHM]
```bibtex
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@article{shi2016end,
title={An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition},
author={Shi, Baoguang and Bai, Xiang and Yao, Cong},
journal={IEEE transactions on pattern analysis and machine intelligence},
year={2016}
}
```
## Results and Models
### Train Dataset
| trainset | instance_num | repeat_num | note |
| :------: | :----------: | :--------: | :---: |
| Syn90k | 8919273 | 1 | synth |
### Test Dataset
| testset | instance_num | note |
| :-----: | :----------: | :-----: |
| IIIT5K | 3000 | regular |
| SVT | 647 | regular |
| IC13 | 1015 | regular |
| IC15 | 2077 |irregular|
| SVTP | 645 |irregular|
| CT80 | 288 |irregular|
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## Results and models
| methods | | Regular Text | | | | Irregular Text | | download |
| :------------------------------------------------------: | :----: | :----------: | :--: | :-: | :--: | :------------: | :--: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| methods | IIIT5K | SVT | IC13 | | IC15 | SVTP | CT80 |
| [CRNN](/configs/textrecog/crnn/crnn_academic_dataset.py) | 80.5 | 81.5 | 86.5 | | 54.1 | 59.1 | 55.6 | [model](https://download.openmmlab.com/mmocr/textrecog/crnn/crnn_academic-a723a1c5.pth) \| [log](https://download.openmmlab.com/mmocr/textrecog/crnn/20210326_111035.log.json) |