README.md

---
license: apache-2.0
metrics:
- accuracy
- f1
pipeline_tag: image-classification
library_name: transformers
base_model:
- google/vit-base-patch16-224-in21k
---
Returns the orange fruit common disease (melanose or citrus canker) with about 98% accuracy based on an image.

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/Ijkn6PR0_iJC0NRKD5NAP.png)

See https://www.kaggle.com/code/dima806/orange-fruit-disease-detection-vit for details.

```
Classification report:

               precision    recall  f1-score   support

citrus canker     0.9806    0.9700    0.9753      1200
      healthy     0.9795    0.9933    0.9863      1200
     melanose     0.9783    0.9750    0.9766      1200

     accuracy                         0.9794      3600
    macro avg     0.9794    0.9794    0.9794      3600
 weighted avg     0.9794    0.9794    0.9794      3600
```