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  tags:
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  - image-classification
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  - pytorch
 
 
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  metrics:
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  - f1
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  ---
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  # Vision Transformer fine-tuned on kvasir_v2 for colonoscopy classification
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  > Disclaimer: This model was trained for research only
 
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  tags:
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  - image-classification
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  - pytorch
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+ - medical
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+ - colon
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  metrics:
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  - f1
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  ---
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  # Vision Transformer fine-tuned on kvasir_v2 for colonoscopy classification
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+ ## Metrics
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+
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+ ```
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+ precision recall f1-score support
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+
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+ dyed-lifted-polyps 0.95 0.93 0.94 60
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+ dyed-resection-margins 0.97 0.95 0.96 64
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+ esophagitis 0.93 0.79 0.85 67
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+ normal-cecum 1.00 0.98 0.99 54
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+ normal-pylorus 0.95 1.00 0.97 57
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+ normal-z-line 0.82 0.93 0.87 67
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+ polyps 0.92 0.92 0.92 52
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+ ulcerative-colitis 0.93 0.95 0.94 59
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+
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+ accuracy 0.93 480
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+ macro avg 0.93 0.93 0.93 480
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+ weighted avg 0.93 0.93 0.93 480
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+ ```
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+
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  > Disclaimer: This model was trained for research only