# Swin-Transformer

Brazilian Portuguese image captioning model based on Swin Transformer and DistilBERTimbau

A brain tumor detection model based on the Swin Transformer architecture, achieving 98.04% accuracy in image classification tasks

This is the OpenVINO version converted from the microsoft/swin-tiny-patch4-window7-224 model, designed to accelerate image classification inference.

Vision model based on Swin Transformer Tiny architecture, fine-tuned for 10 epochs on image classification tasks

A small model based on the Swin Transformer architecture, fine-tuned on the CIFAR-100 dataset for image classification tasks

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

A brain tumor detection model based on Swin Transformer architecture, excelling in image classification tasks

Vision model based on Swin Transformer architecture, fine-tuned specifically for brain tumor image analysis

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

An image classification model fine-tuned based on Swin-Tiny architecture, specifically designed for express truck recognition with an accuracy rate of 97.33%

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