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# ruImageCaptioning
<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-yellow.svg"></a>
Inference Notebook: <a href="https://colab.research.google.com/drive/1tsVMWUE6_AKXiHyinCSOSRPGhbjVEyRM?usp=sharing"><img src="https://colab.research.google.com/assets/colab-badge.svg" height=20></a>
Русская версия CLIP prefix caption, обученная на ruGPTSMALL + CLIP(OPENAI), можно использовать для VQA, image captioning и прочее. Модель работает <1c + ее можно эффективно квантануть/перенести в ONNX. Обучалось в течении 3х дней на 2*1080ti
Trained and validated on ruCOCO
BLEU: 37.3
chrF: 32.4
ROUGE-1-F: 33.0
ROUGE-2-F: 14.1
ROUGE-L-F: 30.3
<table>
<tr>
<td><img src="images/photo_2021-11-13_13-08-38.jpg" ></td>
<td><img src="images/Снимок экрана 2022-05-20 в 15.54.33.png" ></td>
</tr>
<tr>
<td> Пример кэпшенинга</td>
<td>Пример работы в zero shot</td>
</tr>
</table>
THIS WORK IS BASED ON https://github.com/rmokady/CLIP_prefix_caption (english version)
```
@article{mokady2021clipcap,
title={ClipCap: CLIP Prefix for Image Captioning},
author={Mokady, Ron and Hertz, Amir and Bermano, Amit H},
journal={arXiv preprint arXiv:2111.09734},
year={2021}
}
```
```
@article{AlexWortega,
title={ruImage captioning},
author={Aleksandr Nikolic, Asta gpu server },
}
```
## Acknowledgments
This repository is heavily based on [CLIP](https://github.com/openai/CLIP) and [Hugging-faces](https://github.com/huggingface/transformers) repositories.
For training we used the data of [COCO dataset](https://cocodataset.org/#home) and [Conceptual Captions](https://ai.google.com/research/ConceptualCaptions/) translated by ALEX WORTEGA [ruCOCO](https://github.com/AlexWortega/ru_COCO)
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