# Swin Transformer architecture

Fine-tuned vision model based on Swin Transformer V2 architecture, excelling in image classification tasks

Fine-tuned model based on Swin Transformer architecture for AI-generated content detection tasks

A fine-tuned image classification model based on Swin Transformer architecture, achieving 93.94% accuracy on the EuroSAT dataset

Fine-tuned image classification model based on Swin Transformer architecture, achieving 98% accuracy on the EuroSAT dataset

This model is a fine-tuned image classification model based on microsoft/swin-tiny-patch4-window7-224, achieving an accuracy of 96.19% on the evaluation dataset.

This model is a fine-tuned version based on the Swin Transformer architecture, specifically designed for image classification tasks, achieving 97.26% accuracy on the EuroSAT dataset.

A fine-tuned image classification model based on Swin Transformer Tiny architecture, achieving 97.26% accuracy on the EuroSAT dataset

An image classification model based on the Swin architecture, specifically designed for age prediction tasks, trained on the Age Prediction Challenge dataset from the AI Crowd platform.