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Vit Base Patch16 224 Finetuned Eurosat
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Vit Base Patch16 224 Finetuned Eurosat

Developed by sabhashanki
Image classification model fine-tuned on EuroSAT remote sensing image dataset based on Google's ViT base architecture
Image Classification
Transformers
Open Source License:Apache-2.0#Remote sensing image classification#ViT fine-tuning#Medium accuracy
Downloads 18
Release Time : 3/4/2023

Model Overview

This model is an image classification model based on Vision Transformer (ViT) architecture, specifically fine-tuned for remote sensing image classification tasks.

Model Features

Transformer-based vision model
Adopts Vision Transformer architecture, processing images as sequence data for classification
Optimized for remote sensing images
Fine-tuned on EuroSAT remote sensing image dataset, suitable for satellite image analysis
Medium-scale model
Based on ViT-base architecture, balancing performance and computational resource requirements

Model Capabilities

Satellite image classification
Remote sensing image analysis
Multi-category image recognition

Use Cases

Remote sensing applications
Land use classification
Identifying different land use types in satellite images
Achieved 73.91% accuracy on evaluation set
Environmental monitoring
Monitoring environmental elements like forest coverage and water body changes
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