| | --- |
| | license: apache-2.0 |
| | metrics: |
| | - accuracy |
| | - f1 |
| | base_model: |
| | - google/vit-base-patch16-224-in21k |
| | --- |
| | Returns Tesla car model given an image with about 85% accuracy. |
| |
|
| | See https://www.kaggle.com/code/dima806/tesla-car-model-image-detection-vit for more details. |
| |
|
| | ``` |
| | Classification report: |
| | |
| | precision recall f1-score support |
| | |
| | Model_Y 0.8679 0.8364 0.8519 55 |
| | Model_E 0.8462 0.8800 0.8627 100 |
| | Model_S 0.8293 0.8095 0.8193 42 |
| | Model_X 0.8519 0.8364 0.8440 55 |
| | |
| | accuracy 0.8492 252 |
| | macro avg 0.8488 0.8406 0.8445 252 |
| | weighted avg 0.8493 0.8492 0.8490 252 |
| | ``` |