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Convnext Tiny Finetuned Eurostat
This model is a ConvNext-tiny-224 fine-tuned on the Eurosat dataset for satellite image classification tasks.
Downloads 15
Release Time : 4/4/2022
Model Overview
This is a ConvNext-tiny-224 model fine-tuned on the Eurosat satellite image dataset, specifically designed for remote sensing image classification tasks. It can identify 10 different types of land use and land cover.
Model Features
Efficient Image Classification
Based on the ConvNext architecture, it provides good image classification performance while maintaining computational efficiency.
Specialized for Satellite Images
Fine-tuned specifically for the Eurosat satellite image dataset, optimizing remote sensing image classification capabilities.
Lightweight Model
Uses the tiny version of the ConvNext architecture, making it suitable for deployment in resource-constrained environments.
Model Capabilities
Satellite Image Classification
Land Use Recognition
Remote Sensing Image Analysis
Use Cases
Environmental Monitoring
Forest Cover Monitoring
Identify and monitor changes in forest cover areas
Can accurately classify forest regions (example image shows forest.png)
Agricultural Applications
Farmland Identification
Identify agricultural land and crop types
Urban Planning
Urban Expansion Analysis
Monitor the expansion of urban built-up areas
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