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Tiny Random Vit Finetuned Eurosat
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Tiny Random Vit Finetuned Eurosat

Developed by keithanpai
This is a Vision Transformer (ViT) model fine-tuned on an image classification task based on the tiny-random-vit architecture, achieving 66.47% accuracy on the evaluation set.
Image Classification
Transformers
#ViT fine-tuning#Satellite image classification#Moderate accuracy
Downloads 16
Release Time : 8/1/2022

Model Overview

This model is a lightweight implementation of the Vision Transformer (ViT) architecture, specifically fine-tuned for image classification tasks.

Model Features

Lightweight architecture
Lightweight implementation based on tiny-random-vit, suitable for resource-constrained environments
Image classification capability
Specifically fine-tuned for image classification tasks
Moderate accuracy
Achieves 66.47% accuracy on the evaluation set

Model Capabilities

Image classification
Visual feature extraction

Use Cases

Remote sensing image analysis
Satellite image classification
Can be used to classify satellite image datasets such as EuroSAT
66.47% accuracy
Educational research
Vision Transformer teaching example
Can serve as a teaching and research example for ViT models
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