# EuroSAT Dataset

This model is a fine-tuned version based on the ConvNeXt-Tiny architecture, specifically designed for image classification tasks, achieving an accuracy of 95.37% on the EuroSAT dataset.

ConvNeXt-Tiny model fine-tuned on an image folder dataset, suitable for image classification tasks

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

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

Image classification model based on Google Vision Transformer (ViT) architecture, fine-tuned on the EuroSAT dataset

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

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

This is a tiny model based on the Swin Transformer architecture, specifically designed for image classification tasks and fine-tuned on the EuroSAT dataset.