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

Developed by lixiqi
A tiny image classification model based on the Swin Transformer architecture, fine-tuned on an image folder dataset
Image Classification
Transformers
Open Source License:Apache-2.0#Remote Sensing Image Classification#Swin-Transformer Fine-tuning#Medium Accuracy Model
Downloads 19
Release Time : 1/7/2023

Model Overview

This is a tiny image classification model based on Microsoft's Swin Transformer architecture, fine-tuned on a specific image dataset, suitable for image classification tasks.

Model Features

Efficient Image Classification
Based on Swin Transformer architecture, providing efficient image classification capabilities
Lightweight Model
Designed as Tiny version, suitable for deployment in resource-constrained environments
Transfer Learning Capability
Pre-fine-tuned on specific datasets, ready for similar classification tasks

Model Capabilities

Image Classification
Feature Extraction

Use Cases

Remote Sensing Image Analysis
Satellite Image Classification
Classify and identify surface images captured by satellites
Evaluation accuracy 60.54%
General Image Classification
Object Recognition
Identify main object categories in images
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