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Swin Tiny Patch4 Window7 224 Finetuned Eurosat
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Swin Tiny Patch4 Window7 224 Finetuned Eurosat

Developed by Celal11
A fine-tuned image classification model based on Swin Transformer Tiny architecture, trained on image folder datasets
Image Classification
Transformers
Open Source License:Apache-2.0#Remote Sensing Image Classification#Lightweight Swin Model#Transfer Learning Optimization
Downloads 18
Release Time : 1/7/2023

Model Overview

This model is a fine-tuned image classification model based on microsoft/swin-tiny-patch4-window7-224, suitable for general image classification tasks

Model Features

Based on Swin Transformer Architecture
Utilizes advanced Swin Transformer architecture with efficient window attention mechanism
Image Classification Capability
Specifically optimized and fine-tuned for image classification tasks
Lightweight Model
Tiny version design, suitable for deployment in resource-constrained environments

Model Capabilities

Image Classification
Feature Extraction

Use Cases

Remote Sensing Image Analysis
Satellite Image Classification
Can be used for classification and recognition of satellite images
Achieved 59.6% accuracy on the evaluation set
General Image Classification
Object Recognition
Can be used to identify object categories in images
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