| --- |
| 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/). |
|
|
