Update README.md

README.md

@@ -10,4 +10,19 @@ metrics:
 - mean_iou
 library_name: pytorch
 pipeline_tag: image-segmentation
----
+---
+## 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%