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Resnet 50 Finetuned Eurosat
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Resnet 50 Finetuned Eurosat

Developed by keithanpai
This model is a fine-tuned version of microsoft/resnet-50 on an image folder dataset, primarily used for image classification tasks.
Image Classification
Transformers
Open Source License:Apache-2.0#Remote Sensing Image Classification#ResNet50 Fine-tuning#Medium Accuracy
Downloads 26
Release Time : 7/31/2022

Model Overview

A fine-tuned model based on the ResNet-50 architecture, optimized for specific image classification tasks, achieving an accuracy of 66.77% on the evaluation set.

Model Features

Efficient Image Classification
Based on the ResNet-50 architecture, capable of efficiently and accurately performing image classification tasks.
Fine-tuning Optimization
Fine-tuned on a specific dataset to enhance performance in the target domain.
Stable Performance
Demonstrated stable loss reduction and accuracy improvement during training.

Model Capabilities

Image Classification
Feature Extraction

Use Cases

Remote Sensing Image Analysis
Satellite Image Classification
Can be used to classify and identify satellite images.
Accuracy 66.77%
General Image Classification
Object Recognition
Can be used to recognize various objects in images.
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