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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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+ base_model:
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+ - google/vit-base-patch16-224-in21k
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+ pipeline_tag: image-classification
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+ library_name: transformers
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+ ---
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+ Returns the clothes category based on an image.
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+
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+ See https://www.kaggle.com/code/dima806/clothes-image-detection-vit for details.
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/aeBU3c3LdLd5VZRnpudQ3.png)
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+
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+ ```
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+ Classification report:
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+
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+ precision recall f1-score support
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+
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+ Blazer 0.2385 0.1300 0.1683 200
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+ Celana_Panjang 0.2316 0.1100 0.1492 200
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+ Celana_Pendek 0.0145 0.0050 0.0074 200
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+ Gaun 0.0110 0.0050 0.0069 200
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+ Hoodie 0.0000 0.0000 0.0000 200
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+ Jaket 0.0080 0.0150 0.0104 200
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+ Jaket_Denim 0.2078 0.3450 0.2594 200
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+ Jaket_Olahraga 0.0120 0.0050 0.0071 200
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+ Jeans 0.0000 0.0000 0.0000 200
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+ Kaos 0.0000 0.0000 0.0000 200
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+ Kemeja 0.1358 0.2050 0.1633 200
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+ Mantel 0.3058 0.1850 0.2305 200
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+ Polo 0.0667 0.0050 0.0093 200
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+ Rok 0.0550 0.2400 0.0895 200
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+ Sweter 0.0738 0.0900 0.0811 200
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+
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+ accuracy 0.0893 3000
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+ macro avg 0.0907 0.0893 0.0788 3000
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+ weighted avg 0.0907 0.0893 0.0788 3000
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+ ```