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This is a In Vitro Study study.

Development of mobile-based Batak script recognition application using YOLOv8 algorithm

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The application achieves high detection accuracy with a precision of 0.945 and recall of 0.902, ensuring effective recognition of Batak script.
Model evaluation metrics show a mean Average Precision (mAP@0.5) of 0.954, indicating strong performance in script detection tasks.
Experiments involve tuning several hyperparameters, including epochs set to 200 and confidence threshold with IoU value at 0.5 for optimal results.
This research highlights the potential of technology to aid in the preservation of culturally significant scripts like the Batak script.

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This application demonstrates real-time detection of Batak script in images, indicating the use of deep learning for cultural preservation.

Simbolon et al. (2025) studied this question.

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This application demonstrates real-time detection of Batak script in images, indicating the use of deep learning for cultural preservation.