# ViT Vision Model

Vision Transformer (ViT)-based clothing image classification model with approximately 78% accuracy

An image classification model fine-tuned based on Google's ViT architecture for skincare detection tasks, achieving a validation accuracy of 86.48%

This model uses Google's ViT-base architecture to predict the presence of beards in facial images, achieving 100% accuracy on the test set.

A diabetic retinopathy classification model based on the Vision Transformer (ViT) architecture, achieving 72.87% accuracy on the evaluation set

X-ray pneumonia detection model based on ViT architecture, achieving 97.73% accuracy after fine-tuning on a specific dataset