30_plant_types_image_detection

Predicts plant type given an image with about 93% accuracy.

See https://www.kaggle.com/code/dima806/30-plant-types-image-detection-vit for more details.

Classification report:

               precision    recall  f1-score   support

        guava     0.9846    0.9600    0.9722       200
     galangal     0.9418    0.8900    0.9152       200
      bilimbi     0.9949    0.9750    0.9848       200
        paddy     0.9731    0.9050    0.9378       200
     eggplant     0.9848    0.9700    0.9773       200
     cucumber     0.9561    0.9800    0.9679       200
      cassava     0.9899    0.9800    0.9849       200
       papaya     0.9851    0.9950    0.9900       200
       banana     0.9950    0.9900    0.9925       200
       orange     0.9534    0.9200    0.9364       200
   cantaloupe     0.5271    0.3400    0.4134       200
      coconut     0.9950    1.0000    0.9975       200
     soybeans     0.9754    0.9900    0.9826       200
       pomelo     0.9563    0.9850    0.9704       200
    pineapple     0.9703    0.9800    0.9751       200
        melon     0.5000    0.6150    0.5516       200
      shallot     0.9949    0.9750    0.9848       200
   peperchili     0.9755    0.9950    0.9851       200
      spinach     0.9231    0.9600    0.9412       200
      tobacco     0.9151    0.9700    0.9417       200
     aloevera     0.9949    0.9800    0.9874       200
      curcuma     0.9005    0.8600    0.8798       200
         corn     0.9610    0.9850    0.9728       200
       ginger     0.8551    0.8850    0.8698       200
sweetpotatoes     1.0000    0.9950    0.9975       200
         kale     0.9268    0.9500    0.9383       200
    longbeans     0.9850    0.9850    0.9850       200
   watermelon     0.9252    0.9900    0.9565       200
        mango     0.9239    0.9100    0.9169       200
   waterapple     0.8807    0.9600    0.9187       200

     accuracy                         0.9292      6000
    macro avg     0.9282    0.9292    0.9275      6000
 weighted avg     0.9282    0.9292    0.9275      6000