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

Developed by Weili
A vision model based on Swin Transformer Tiny architecture, fine-tuned on EuroSAT dataset for satellite image classification tasks
Image Classification
Transformers
Open Source License:Apache-2.0#Remote Sensing Image Classification#High-Precision Classification#Swin-Transformer
Downloads 13
Release Time : 12/5/2022

Model Overview

This model is a fine-tuned version of Microsoft's Swin Transformer Tiny architecture, specifically optimized for satellite image classification tasks and performs excellently on the EuroSAT dataset

Model Features

High-Precision Satellite Image Classification
Achieves 97.93% classification accuracy on the EuroSAT dataset
Based on Swin Transformer Architecture
Utilizes advanced vision Transformer architecture with excellent feature extraction capabilities
Lightweight Model
Tiny version suitable for deployment in resource-constrained environments

Model Capabilities

Satellite Image Classification
Multi-class Image Recognition
Remote Sensing Image Analysis

Use Cases

Remote Sensing Applications
Land Use Classification
Classify and identify land types in satellite images
97.93% accuracy
Environmental Monitoring
Identify different environmental features such as forests, farmlands, water bodies, etc.
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