# Shifted Window Attention

Image classification model based on Swin Transformer Tiny architecture, fine-tuned for 50 epochs on a custom dataset with 79.73% accuracy

A vision model based on Swin Transformer Tiny architecture, fine-tuned on EuroSAT dataset for satellite image classification tasks

A vision model based on Swin Transformer Tiny architecture, fine-tuned on the EuroSAT dataset for image classification tasks

Agricultural vision image classification model based on Swin Transformer Tiny architecture, fine-tuned on the imagefolder dataset with an accuracy of 92.03%

Swin Transformer is a hierarchical vision transformer based on shifted windows, suitable for image classification tasks.

Swin Transformer is a hierarchical vision transformer based on shifted windows, pretrained on the ImageNet-21k dataset, suitable for image classification tasks.