Swin Tiny Patch4 Window7 224 Finetuned Eurosat
A vision model based on Swin Transformer Tiny architecture, fine-tuned on the EuroSAT dataset for image classification tasks
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Release Time : 11/18/2022
Model Overview
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 for image classification tasks, achieving 98.26% accuracy on the EuroSAT dataset
Model Features
High Accuracy
Achieves 98.26% classification accuracy on the EuroSAT dataset
Based on Swin Transformer
Utilizes advanced Swin Transformer architecture with efficient shifted window attention mechanism
Lightweight Model
Tiny version suitable for deployment in resource-constrained environments
Model Capabilities
Image Classification
Remote Sensing Image Analysis
Multi-class Image Recognition
Use Cases
Remote Sensing Image Analysis
Land Cover Classification
Classify different land types in satellite images
98.26% accuracy
Environmental Monitoring
Identify and analyze different environmental zone types
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