# An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition ## Introduction [ALGORITHM] ```bibtex @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| ## 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) |