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

Developed by guhuawuli
This is a tiny model based on the Swin Transformer architecture, specifically designed for image classification tasks and fine-tuned on the EuroSAT dataset.
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision Image Classification#Remote Sensing Image Analysis#Swin Transformer
Downloads 14
Release Time : 5/11/2022

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 an accuracy of 96.78% on the evaluation set, demonstrating excellent performance.
Based on Swin Transformer
Utilizes the advanced Swin Transformer architecture with efficient image processing capabilities.
Lightweight Model
Designed as a tiny variant, suitable for deployment in resource-constrained environments.

Model Capabilities

Image Classification
Feature Extraction

Use Cases

Remote Sensing Image Analysis
Land Cover Classification
Used for identifying land cover types in satellite images
Performed excellently on the EuroSAT dataset
General Image Classification
Object Recognition
Can be used for object classification tasks in various scenarios
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