---
license: apache-2.0
datasets:
- ahishamm/combined_masks
language:
- en
metrics:
- accuracy
- f1
- mean_iou
---
## 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%