Create README.md

README.md

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+## Model Description
+
+<!-- Provide a longer summary of what this model is/does. -->
+SkinSAM is on the 12-layer ViT-b model, the mask decoder module of SAM is fine-tuned on a combined dataset of ISIC and PH2 skin lesion images and masks. 
+SkinSAM was trained on an Nvidia Tesla A100 40GB GPU.    
+
+Some of the notable results taken:  
+ISIC Dataset:  
+1. IOU 78.25% 
+2. Pixel Accuracy 92.18% 
+3. F1 Score 87.47% 
+PH2 Dataset:  
+1. IOU 86.68% 
+2. Pixel Accuracy 93.33% 
+3. F1 Score 93.95%
+---
+license: apache-2.0
+datasets:
+- ahishamm/combined_masks
+language:
+- en
+metrics:
+- accuracy
+- f1
+- mean_iou
+library_name: pytorch
+pipeline_tag: image-segmentation
+---