Edit model card

Detects garbage type with about 93% accuracy based on image.

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

image/png

Classification report:

              precision    recall  f1-score   support

     battery     0.9466    0.9484    0.9475      2130
  biological     0.9725    0.9812    0.9769      2130
 brown-glass     0.9609    0.9690    0.9649      2130
   cardboard     0.9920    0.9347    0.9625      2130
     clothes     0.9469    0.9789    0.9626      2130
 green-glass     0.9231    0.9869    0.9539      2130
       metal     0.8810    0.9038    0.8922      2130
       paper     0.9215    0.9427    0.9320      2130
     plastic     0.8860    0.6643    0.7593      2130
       shoes     0.9383    0.9854    0.9613      2130
       trash     0.8643    0.9718    0.9149      2130
 white-glass     0.9049    0.8709    0.8876      2130

    accuracy                         0.9282     25560
   macro avg     0.9282    0.9282    0.9263     25560
weighted avg     0.9282    0.9282    0.9263     25560
Downloads last month
7
Safetensors
Model size
85.8M params
Tensor type
F32
·
Inference Examples
Unable to determine this model's library. Check the docs .

Model tree for dima806/garbage_types_image_detection

Finetuned
(1724)
this model