---
library_name: transformers
tags:
  - image-classification
  - bangladesh
  - banknote
  - currency
license: apache-2.0
---

# 🇧🇩 Bangladeshi Taka Banknote Classifier

This model is an image classifier that recognizes the denomination of Bangladeshi banknotes (paper currency).  
It was fine-tuned on the [Jakir057/bangladeshi_banknotes_70k](https://huggingface.co/datasets/Jakir057/bangladeshi_banknotes_70k) dataset using [EfficientNet-B0](https://huggingface.co/google/efficientnet-b0) as the backbone.

---

## 📝 Model Details

| | |
|-|-|
| **Model Architecture** | EfficientNet-B0 |
| **Fine-tuned From**    | [google/efficientnet-b0](https://huggingface.co/google/efficientnet-b0) |
| **Dataset**            | [Jakir057/bangladeshi_banknotes_70k](https://huggingface.co/datasets/Jakir057/bangladeshi_banknotes_70k) |
| **Number of Classes**  | 8 (`2, 5, 10, 20, 50, 100, 500, 1000` Taka) |
| **Input**              | Banknote image (RGB, clear view of the note) |
| **License**            | Apache 2.0 |

---

## 🚀 Quick Start

```python
from transformers import pipeline
from PIL import Image

pipe = pipeline("image-classification", model="your-username/bangladeshi-taka-classifier")

img = Image.open("path/to/your_note.jpg")
result = pipe(img)
print(result)