KhalfounMehdi/dermatology_vit
Image Classification
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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0benign
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1malignant
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1malignant
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1malignant
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1malignant
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1malignant
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0benign
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1malignant
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1malignant
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1malignant
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0benign
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0benign
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0benign
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0benign
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1malignant
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0benign
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1malignant
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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1malignant
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1malignant
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0benign
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1malignant
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1malignant
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0benign
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1malignant
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1malignant
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1malignant
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1malignant
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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1malignant
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1malignant
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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0benign
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Size of downloaded dataset files:
51.5 MB
Size of the auto-converted Parquet files:
51.5 MB
Number of rows:
656
Models trained or fine-tuned on KhalfounMehdi/dermatology_anomaly_detection_vit