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Van Base Finetuned Eurosat Imgaug
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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