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Convnext Tiny 224 Eurosat
This model is a fine-tuned version based on the ConvNeXt-Tiny architecture, specifically designed for image classification tasks, achieving an accuracy of 95.37% on the EuroSAT dataset.
Downloads 13
Release Time : 12/11/2022
Model Overview
This is a ConvNeXt-Tiny model fine-tuned on an image folder dataset, primarily used for high-precision image classification tasks.
Model Features
High Accuracy
Achieved a classification accuracy of 95.37% on the evaluation set
Lightweight Architecture
Based on the ConvNeXt-Tiny architecture, suitable for resource-constrained environments
Transfer Learning
Enables rapid deployment through fine-tuning of pre-trained models
Model Capabilities
Image Classification
Remote Sensing Image Analysis
Use Cases
Remote Sensing Image Analysis
Land Use Classification
Classify different land types in satellite images
95.37% accuracy
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