Swin-Tiny-Patch4-Window7-224-Finetuned-Eurosat Open-Source Image Classification Model - Accurately Identify Various Types of Images

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.

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

Image Classification

Feature Extraction

Computer Vision

General Image Classification

Classify and recognize common object images

Educational Demonstration

Used for teaching demonstrations of Transformer applications in vision tasks

Property	Details
Model Type	Fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on cifar10 dataset
Training Data	cifar10

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