YOLOv8-Assisted Detection and EfficientNetV2S Classification for Robust Yemeni Banknote Recognition

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1. Verfasser: Molhi, Majed
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Veröffentlicht: Zenodo 2025
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_version_ 1866901910193176576
author Molhi, Majed
author_facet Molhi, Majed
contents <p>First public academic release accompanying the paper.<br>This release provides a complete and reproducible YOLOv8-assisted ROI-based currency recognition pipeline using EfficientNetV2S, including data preparation, training, cross-validation, bias ablation analysis, and inference utilities.</p>
format Recurso digital
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institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle YOLOv8-Assisted Detection and EfficientNetV2S Classification for Robust Yemeni Banknote Recognition
Molhi, Majed
Yemeni currency
banknote recognition
deep learning
YOLOv8
EfficientNetV2S
computer vision
ROI extraction
bias ablation
<p>First public academic release accompanying the paper.<br>This release provides a complete and reproducible YOLOv8-assisted ROI-based currency recognition pipeline using EfficientNetV2S, including data preparation, training, cross-validation, bias ablation analysis, and inference utilities.</p>
title YOLOv8-Assisted Detection and EfficientNetV2S Classification for Robust Yemeni Banknote Recognition
topic Yemeni currency
banknote recognition
deep learning
YOLOv8
EfficientNetV2S
computer vision
ROI extraction
bias ablation
url https://doi.org/10.5281/zenodo.18072007