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Swin Tiny Patch4 Window7 224 Finetuned Eurosat
A vision model fine-tuned on an image folder dataset based on microsoft/swin-tiny-patch4-window7-224
Downloads 19
Release Time : 3/15/2023
Model Overview
This model is a fine-tuned version of Swin Transformer, suitable for image classification tasks. Based on the Swin-Tiny architecture, it has been optimized for specific datasets.
Model Features
Efficient Transformer architecture
Utilizes Swin Transformer's hierarchical window attention mechanism to reduce computational complexity while maintaining high performance.
Image classification optimization
Specifically fine-tuned for image classification tasks to improve recognition accuracy in specific domains.
Lightweight design
Based on the Tiny version, suitable for deployment in resource-constrained environments.
Model Capabilities
Image classification
Feature extraction
Transfer learning
Use Cases
Remote sensing image analysis
Satellite image classification
Classify images in remote sensing datasets such as EuroSAT
General image recognition
Scene classification
Identify scene types in images
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