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Convnext Tiny 224 Finetuned Eurosat Albumentations
A fine-tuned model based on the ConvNeXt-Tiny architecture, optimized for image classification tasks, excelling on the EuroSAT dataset
Downloads 20
Release Time : 7/5/2022
Model Overview
This model is a fine-tuned version of facebook/convnext-tiny-224 for image classification tasks, particularly suitable for remote sensing image analysis
Model Features
High Accuracy
Achieves 98.04% accuracy on the evaluation set
Efficient Fine-tuning
Fine-tuned based on the pre-trained ConvNeXt-Tiny model with high training efficiency
Albumentations Support
Uses the Albumentations library for data augmentation
Model Capabilities
Image Classification
Remote Sensing Image Analysis
Use Cases
Remote Sensing
Land Use Classification
Classifies land use types in satellite images
98.04% accuracy
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