README.md · ahishamm/skinsam at 80585102691df5968b4a4f38b3529969b8074e32

Model Description

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

Model Description

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

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%