README.md

metadata

license: cc-by-4.0
task_categories:
  - image-classification
  - object-detection
tags:
  - counterfeit-detection
  - banknote
  - nepali-currency
  - yolov8
  - computer-vision
  - security
pretty_name: NepaliNote - Nepali Banknote Authenticity Dataset
size_categories:
  - n<1K
language:
  - en

NepaliNote: Nepali Banknote Authenticity Dataset

A dataset of 1000 Nepali Rupee banknote images for automated detection of counterfeit currency, used in the research paper:

Revolutionizing Currency Security: A YOLOv8-Based Approach for Automated Detection of Counterfeit Nepali Banknotes

Santosh Giri, Loknath Regmi, Sumit Yadav, Binaya Basnet, Binit KC, and Mohan Bhandari

Journal of Business and Econometrics Studies, 2024, 1(6): 1-8

DOI: doi.org/10.61440/JBES.2024.v1.47

Dataset Description

This dataset contains 800 images of 1000 Nepali Rupee banknotes, categorized by:

• Side: Front / Back
• Authenticity: Genuine / Fake

Structure

NepaliNote/
├── Train/
│   ├── Back/
│   │   ├── Genuine/   (180 images)
│   │   └── Fake/      (180 images)
│   └── Front/
│       ├── Genuine/   (180 images)
│       └── Fake/      (180 images)
└── Test/
    ├── Back/
    │   ├── Genuine/   (20 images)
    │   └── Fake/      (20 images)
    └── Front/
        ├── Genuine/   (20 images)
        └── Fake/      (20 images)

Split	Genuine	Fake	Total
Train	360	360	720
Test	40	40	80
Total	400	400	800

Key Results

Using YOLOv8 on this dataset:

Metric	Front Face	Back Face
True Positive Recall	0.82	0.9863

Usage

from huggingface_hub import snapshot_download

snapshot_download(repo_id="rockerritesh/NepaliNote", repo_type="dataset", local_dir="NepaliNote")

Authors

• Santosh Giri — Dept. of Electronics and Computer Engineering, IOE Pulchowk Campus, Nepal
• Loknath Regmi — Dept. of Electronics and Computer Engineering, IOE Pulchowk Campus, Nepal
• Sumit Yadav — Dept. of Electronics and Computer Engineering, IOE Pulchowk Campus, Nepal
• Binaya Basnet — Dept. of Electronics and Computer Engineering, IOE Pulchowk Campus, Nepal
• Binit KC — Dept. of Electronics and Computer Engineering, IOE Pulchowk Campus, Nepal
• Mohan Bhandari* — Dept. of Science and Technology, Samriddhi College, Bhaktapur, Nepal

Citation

@article{giri2024revolutionizing,
  title={Revolutionizing Currency Security: A YOLOv8-Based Approach for Automated Detection of Counterfeit Nepali Banknotes},
  author={Giri, Santosh and Regmi, Loknath and Yadav, Sumit and Basnet, Binaya and KC, Binit and Bhandari, Mohan},
  journal={Journal of Business and Econometrics Studies},
  volume={1},
  number={6},
  pages={1--8},
  year={2024},
  doi={10.61440/JBES.2024.v1.47},
  issn={3049-7159},
  publisher={OASK Publishers}
}

License

This dataset is released under CC BY 4.0.