| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - image-to-text | |
| # TRBA v1.0 | |
| TRBA model pre-trained on various real [STR datasets](https://github.com/baudm/parseq/blob/main/Datasets.md) at image size 128x32. | |
| Disclaimer: this model card was not written by the original authors. | |
| ## Model description | |
| *TODO* | |
| ## Intended uses & limitations | |
| You can use the model for STR on images containing Latin characters (62 case-sensitive alphanumeric + 32 punctuation marks). | |
| ### How to use | |
| *TODO* | |
| ### BibTeX entry and citation info | |
| ```bibtex | |
| @InProceedings{Baek_2019_ICCV, | |
| author = {Baek, Jeonghun and Kim, Geewook and Lee, Junyeop and Park, Sungrae and Han, Dongyoon and Yun, Sangdoo and Oh, Seong Joon and Lee, Hwalsuk}, | |
| title = {What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis}, | |
| booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, | |
| month = {10}, | |
| year = {2019} | |
| } | |
| ``` | |