Swin Tiny Patch4 Window7 224 Finetuned Eurosat
A fine-tuned image classification model based on Swin Transformer Tiny architecture, achieving 97.26% accuracy on the EuroSAT dataset
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Release Time : 5/20/2022
Model Overview
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 for image classification tasks, specifically designed for remote sensing image classification
Model Features
High Accuracy
Achieves 97.26% classification accuracy on the EuroSAT dataset
Based on Swin Transformer
Utilizes advanced Swin Transformer architecture with powerful feature extraction capabilities
Lightweight Design
Tiny version suitable for deployment in resource-constrained environments
Model Capabilities
Remote sensing image classification
Multi-category image recognition
High-precision scene understanding
Use Cases
Remote Sensing Analysis
Land Use Classification
Identify different land types in satellite images
97.26% accuracy
Environmental Monitoring
Monitor environmental elements such as forest coverage and water body changes
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