# SwinV2 Architecture

Image orientation correction model based on SwinV2 architecture for automatic detection and correction of image orientation

An image tag classification model based on the SwinV2 architecture for automatically identifying content and features in images

This model is a vision classification model fine-tuned on the THFOOD-50 Thai food dataset based on the Swin Transformer V2 architecture, specifically designed for Thai food image recognition.

Swin2SR is an image super-resolution model based on SwinV2 Transformer, capable of 4x image upscaling, specifically designed for real-world scenarios.

Swin2SR is an image super-resolution model based on SwinV2 Transformer, capable of 2x image upscaling

Swin2SR is an image super-resolution model based on the SwinV2 Transformer architecture, capable of 4x image upscaling and specifically designed for super-resolution reconstruction of compressed images.

Image super-resolution model based on SwinV2 Transformer, capable of 4x image upscaling

The Swin2SR model achieves 2x image super-resolution upscaling based on the SwinV2 Transformer architecture.