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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
Downloads 15
Release Time : 5/25/2022
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, achieving 94.74% accuracy on the evaluation set
Model Features
High Accuracy
Achieves 94.74% classification accuracy on the evaluation set
Efficient Training
Utilizes Swin Transformer architecture for high training efficiency
Transfer Learning
Fine-tuned based on a pre-trained model to adapt to specific image classification tasks
Model Capabilities
Image Classification
Remote Sensing Image Analysis
Use Cases
Remote Sensing Image Analysis
Land Use Classification
Classify land use types in satellite images
Evaluation accuracy 94.74%
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