# Swin Transformer Fine-tuning

A bird image classification model based on the Swin Transformer architecture, fine-tuned on a bird dataset with an accuracy of 69.19%

An image classification model based on the Swin Transformer Tiny architecture, fine-tuned on the CIFAR10 dataset with an accuracy of 97.24%

This is a vision model based on the Swin Transformer Tiny architecture, fine-tuned on the EuroSAT dataset, primarily used for image classification tasks.

This model is a skin cancer image classification model fine-tuned from microsoft/swin-tiny-patch4-window7-224, achieving an accuracy of 72.75%.

A dog food image classification model fine-tuned based on Swin Transformer Tiny architecture, achieving 98.8% accuracy on the test set