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Van Base Finetuned Eurosat Imgaug

Developed by nielsr
An image classification model fine-tuned on an image folder dataset based on Visual-Attention-Network/van-base, achieving an accuracy of 98.85%
Downloads 14
Release Time : 4/11/2022

Model Overview

This model is a variant of the Visual Attention Network (VAN), specifically optimized for image classification tasks, and performs exceptionally well on the EuroSAT dataset

Model Features

High-precision image classification
Achieves a classification accuracy of 98.85% on the EuroSAT dataset
Attention mechanism
Utilizes a visual attention network architecture to effectively capture key image features
Data augmentation optimization
Employs image augmentation techniques during training to enhance model generalization

Model Capabilities

Image classification
Remote sensing image analysis
Multi-class recognition

Use Cases

Remote sensing image analysis
Land use classification
Classifies and identifies land types in satellite images
Accuracy 98.85%
Environmental monitoring
Identifies and analyzes different types of environmental regions
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