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Swin Tiny Patch4 Window7 224 Finetuned Eurosat
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Swin Tiny Patch4 Window7 224 Finetuned Eurosat

Developed by GRANTHE2761
This is a vision model based on the Swin Transformer Tiny architecture, fine-tuned on the EuroSAT dataset, primarily used for image classification tasks.
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision Image Classification#Remote Sensing Image Recognition#Swin-Transformer Architecture
Downloads 15
Release Time : 5/26/2022

Model Overview

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an image folder dataset, achieving an accuracy of 96.89% on the evaluation set.

Model Features

High Accuracy
Achieved a classification accuracy of 96.89% on the evaluation set.
Based on Swin Transformer
Utilizes the advanced Swin Transformer architecture, excelling in visual feature extraction.
Lightweight Model
The Tiny version is suitable for deployment in resource-limited environments.

Model Capabilities

Image Classification
Visual Feature Extraction
Remote Sensing Image Analysis

Use Cases

Remote Sensing Image Analysis
Land Use Classification
Classify different land types in satellite images.
96.89% accuracy
Environmental Monitoring
Identify and analyze changes in land cover.
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