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.
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
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