configs:
- config_name: main_data
data_files: data/train/*
default: true
🔥 TurkishLLaVA OCR Enhancement Dataset
This dataset is a specialized books collection designed to improve the Turkish OCR (Optical Character Recognition) abilities of the Turkish-LLaVA-v0.1 model. It was created by collecting 100,000 books entirely from Turkish sources. The primary goal of this dataset is to enhance the model's ability to detect and interpret any text present in images.
Dataset Usage in Finetuning
This dataset played a crucial role in the finetuning process of the Turkish-LLaVA-v0.1 model. It was concatenated with another dataset (Soon..) to form a comprehensive training set that significantly refined the model's OCR capabilities. This enhancement process ensured that the model could accurately recognize and interpret Turkish text in various visual contexts.
Citation
@inproceedings{zeer2024cosmos,
title={Cosmos-LLaVA: Chatting with the Visual},
author={Zeer, Ahmed and Dogan, Eren and Erdem, Yusuf and {\.I}nce, Elif and Shbib, Osama and Uzun, M Egemen and Uz, Atahan and Yuce, M Kaan and Kesgin, H Toprak and Amasyali, M Fatih},
booktitle={2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP)},
pages={1--7},
year={2024},
organization={IEEE}
}
Contact
If you encounter any issues or have suggestions, feel free to reach out to us or open a pull request.
COSMOS AI Research Group, Yildiz Technical University Computer Engineering Department
https://cosmos.yildiz.edu.tr/
Email: cosmos@yildiz.edu.tr