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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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precision recall f1-score support
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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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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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> Disclaimer: This model was trained for research only
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