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Swin Tiny Patch4 Window7 224 Finetuned Eurosat
This is a fine-tuned model based on the Swin Transformer Tiny architecture, specifically designed for image classification tasks, achieving an accuracy of 97.59% on the evaluation set.
Downloads 14
Release Time : 4/24/2022
Model Overview
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an image folder dataset, primarily used for image classification tasks.
Model Features
High Accuracy
Achieved a high accuracy of 97.59% on the evaluation set
Swin Transformer Architecture
Based on the advanced Swin Transformer architecture, with excellent image processing capabilities
Fine-tuning Optimization
Fine-tuned and optimized for specific tasks on the base model
Model Capabilities
Image classification
Visual feature extraction
Use Cases
Remote sensing image analysis
Satellite image classification
Can be used for automatic classification of satellite images
Accuracy reached 97.59%
General image classification
Object recognition
Can be used to identify object categories in images
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