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dima806
/
medicinal_plants_image_detection

Image Classification
Transformers
PyTorch
Safetensors
vit
Inference Endpoints
Model card Files Community
2
medicinal_plants_image_detection
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---
license: apache-2.0
metrics:
- accuracy
- f1
base_model:
- google/vit-base-patch16-224-in21k
---
Detect type of Indian medicinal plant based on plants/leafs image.

See https://www.kaggle.com/code/dima806/indian-medicinal-plants-image-detection-vit for more details.

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/EbkjNJjy0OT-Rpr6B2-Hu.png)

```
Classification report:

                precision    recall  f1-score   support

          Amla     1.0000    1.0000    1.0000       116
         Curry     1.0000    1.0000    1.0000       115
         Betel     0.9914    1.0000    0.9957       115
        Bamboo     1.0000    1.0000    1.0000       116
Palak(Spinach)     1.0000    1.0000    1.0000       116
     Coriender     1.0000    1.0000    1.0000       115
        Ashoka     1.0000    1.0000    1.0000       115
    Seethapala     1.0000    1.0000    1.0000       115
   Lemon_grass     1.0000    1.0000    1.0000       116
       Pappaya     1.0000    1.0000    1.0000       115
    Curry_Leaf     1.0000    1.0000    1.0000       116
         Lemon     1.0000    0.9913    0.9956       115
         Nooni     1.0000    1.0000    1.0000       116
         Henna     1.0000    1.0000    1.0000       116
         Mango     1.0000    1.0000    1.0000       116
    Doddpathre     1.0000    1.0000    1.0000       115
  Amruta_Balli     1.0000    1.0000    1.0000       115
     Betel_Nut     1.0000    1.0000    1.0000       116
         Tulsi     0.9914    0.9914    0.9914       116
   Pomegranate     1.0000    1.0000    1.0000       115
        Castor     1.0000    1.0000    1.0000       116
     Jackfruit     1.0000    1.0000    1.0000       116
       Insulin     1.0000    1.0000    1.0000       116
        Pepper     1.0000    1.0000    1.0000       116
 Raktachandini     1.0000    1.0000    1.0000       116
      Aloevera     1.0000    1.0000    1.0000       116
       Jasmine     1.0000    1.0000    1.0000       116
    Doddapatre     1.0000    1.0000    1.0000       115
          Neem     1.0000    1.0000    1.0000       115
      Geranium     1.0000    1.0000    1.0000       115
          Rose     1.0000    1.0000    1.0000       115
         Gauva     1.0000    1.0000    1.0000       116
      Hibiscus     1.0000    1.0000    1.0000       116
  Nithyapushpa     1.0000    1.0000    1.0000       116
    Wood_sorel     1.0000    1.0000    1.0000       115
      Tamarind     1.0000    1.0000    1.0000       116
         Guava     1.0000    1.0000    1.0000       116
        Bhrami     1.0000    1.0000    1.0000       115
        Sapota     1.0000    1.0000    1.0000       116
        Basale     1.0000    1.0000    1.0000       116
       Avacado     1.0000    1.0000    1.0000       116
   Ashwagandha     1.0000    1.0000    1.0000       116
      Nagadali     0.9897    0.8348    0.9057       115
         Arali     1.0000    1.0000    1.0000       115
          Ekka     1.0000    1.0000    1.0000       116
        Ganike     0.8582    0.9914    0.9200       116
        Tulasi     0.9913    0.9913    0.9913       115
         Honge     1.0000    1.0000    1.0000       115
          Mint     1.0000    1.0000    1.0000       116
  Catharanthus     1.0000    1.0000    1.0000       116
        Papaya     1.0000    1.0000    1.0000       116
        Brahmi     1.0000    1.0000    1.0000       116

      accuracy                         0.9962      6012
     macro avg     0.9966    0.9962    0.9961      6012
  weighted avg     0.9966    0.9962    0.9962      6012
```