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Resnet 50 Finetuned Eurosat
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Resnet 50 Finetuned Eurosat

Developed by thaonguyen274
An image classification model fine-tuned on the ImageFolder dataset based on ResNet-50 architecture, achieving 82.4% accuracy
Image Classification
Transformers
Open Source License:Apache-2.0#Remote sensing image classification#High-precision classification#ResNet architecture
Downloads 24
Release Time : 11/4/2022

Model Overview

This model is an image classification model fine-tuned on the ImageFolder dataset based on Microsoft's ResNet-50 architecture, primarily used for image recognition and classification tasks.

Model Features

High accuracy
Achieves 82.4% accuracy on the evaluation set, demonstrating excellent performance
Fine-tuning optimization
Targeted fine-tuning based on the ResNet-50 pre-trained model to adapt to specific datasets
Stable training
Employs linear learning rate scheduling and warm-up strategies for stable convergence during training

Model Capabilities

Image classification
Feature extraction
Transfer learning

Use Cases

Remote sensing image analysis
Satellite image classification
Can be used to classify and identify surface images captured by satellites
82.4% accuracy
General image recognition
Object classification
Can be used to recognize and classify various common objects
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