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--- |
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license: apache-2.0 |
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metrics: |
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- accuracy |
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- f1 |
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--- |
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Return a vehicle type probability based on an image. |
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See https://www.kaggle.com/code/dima806/vehicle-10-types-detection-vit for more details. |
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``` |
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Classification report: |
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precision recall f1-score support |
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SUV 0.8780 0.9000 0.8889 40 |
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bus 1.0000 1.0000 1.0000 40 |
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family sedan 0.8571 0.9000 0.8780 40 |
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fire engine 0.8444 0.9500 0.8941 40 |
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heavy truck 0.9459 0.8750 0.9091 40 |
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jeep 0.9512 0.9750 0.9630 40 |
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minibus 0.9500 0.9500 0.9500 40 |
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racing car 1.0000 0.9500 0.9744 40 |
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taxi 0.9750 0.9750 0.9750 40 |
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truck 0.9722 0.8750 0.9211 40 |
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accuracy 0.9350 400 |
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macro avg 0.9374 0.9350 0.9354 400 |
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weighted avg 0.9374 0.9350 0.9354 400 |
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``` |
