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# An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition
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## Introduction
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[ALGORITHM]
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2021-04-05 16:06:06 +08:00
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```bibtex
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@article{shi2016end,
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title={An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition},
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author={Shi, Baoguang and Bai, Xiang and Yao, Cong},
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journal={IEEE transactions on pattern analysis and machine intelligence},
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year={2016}
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}
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```
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## Results and Models
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### Train Dataset
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| trainset | instance_num | repeat_num | note |
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| :------: | :----------: | :--------: | :---: |
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| Syn90k | 8919273 | 1 | synth |
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### Test Dataset
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| testset | instance_num | note |
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| :-----: | :----------: | :-----: |
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| IIIT5K | 3000 | regular |
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| SVT | 647 | regular |
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| IC13 | 1015 | regular |
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| IC15 | 2077 |irregular|
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| SVTP | 645 |irregular|
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| CT80 | 288 |irregular|
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## Results and models
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2021-04-10 18:04:36 +08:00
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| methods | | Regular Text | | | | Irregular Text | | download |
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| :------------------------------------------------------: | :----: | :----------: | :--: | :-: | :--: | :------------: | :--: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
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| methods | IIIT5K | SVT | IC13 | | IC15 | SVTP | CT80 |
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| [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) |
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