Swin Tiny Patch4 Window7 224 Finetuned Eurosat
This is a vision model based on the Swin Transformer Tiny architecture, fine-tuned on the EuroSAT dataset, primarily used for image classification tasks.
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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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