# Swin-Transformer Architecture

An image segmentation model fine-tuned on the Dnq2025/Mask2former_Pretrain dataset, based on the facebook/mask2former-swin-base-IN21k-ade-semantic model

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

This model is an image classification model fine-tuned on the CIFAR-100 dataset based on the Swin Transformer architecture, achieving an accuracy of 92.01%.

A fine-tuned image classification model based on Swin Transformer architecture, achieving 95.17% accuracy on image classification tasks

A fine-tuned model based on Swin Transformer Tiny architecture for image classification tasks, achieving 100% accuracy on the evaluation set

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