README.md

---
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](https://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

```python
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

```bibtex
@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](https://creativecommons.org/licenses/by/4.0/).