# High-Precision ViT Model

SkinSAM is a skin lesion segmentation model based on a 12-layer ViT-b architecture, fine-tuned on ISIC and PH2 datasets, focusing on precise segmentation of skin lesion images.

A bean leaf disease classification model based on ViT architecture, fine-tuned on the beans dataset with an accuracy of 99.25%

Image classification model based on Google Vision Transformer (ViT) architecture, fine-tuned on the EuroSAT dataset