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khalid99ml/bangladeshi-taka-classifier
bangladeshi-taka-classifier is a image classification model from khalid99ml. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
This model is an image classifier that recognizes the denomination of Bangladeshi banknotes (paper currency). It was fine-tuned on the Jakir057/bangladeshibanknotes70k dataset using EfficientNet-B0 as the backbone.
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From the Hugging Face model README
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 dataset using EfficientNet-B0 as the backbone.
| Model Architecture | EfficientNet-B0 |
| Fine-tuned From | google/efficientnet-b0 |
| Dataset | 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 |
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)