# Satellite Image Recognition

A tiny image classification model based on the Swin Transformer architecture, fine-tuned on an image folder dataset

A fine-tuned image classification model based on ConvNeXt-Tiny architecture, achieving 98.15% accuracy on the EuroSAT dataset

This model is a fine-tuned image classification model based on the ConvNeXt-Tiny architecture, trained on the EuroSAT dataset with albumentations for data augmentation, achieving 98.48% accuracy on the evaluation set.

An image classification model fine-tuned on an image folder dataset based on microsoft/resnet-50

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

A fine-tuned model based on the ConvNeXt-Tiny architecture, optimized for image classification tasks, excelling on the EuroSAT dataset

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