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Swin Tiny Patch4 Window7 224 Finetuned Eurosat

Developed by gneuert
Image classification model fine-tuned on the CIFAR10 dataset based on Swin Transformer Tiny architecture
Downloads 18
Release Time : 1/6/2023

Model Overview

This model is a fine-tuned version of Microsoft's Swin Transformer Tiny architecture on the CIFAR10 dataset, suitable for image classification tasks.

Model Features

Swin Transformer Architecture
Utilizes the advanced Swin Transformer architecture with hierarchical feature representation and shifted window attention mechanism
Lightweight Model
Designed as a Tiny version, suitable for deployment in resource-constrained environments
CIFAR10 Fine-tuning
Specifically fine-tuned on the CIFAR10 dataset, ideal for 10-class image classification tasks

Model Capabilities

Image Classification
Feature Extraction

Use Cases

Computer Vision
General Image Classification
Classify and recognize common object images
Educational Demonstration
Used for teaching demonstrations of Transformer applications in vision tasks
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