ResNet-50 Finetuned EuroSAT Open-source Image Classification Model - Empowering Precise Image Classification Tasks

Home

Resnet 50 Finetuned Eurosat

Developed by PKR

An image classification model fine-tuned on an image folder dataset based on microsoft/resnet-50

Image Classification

Transformers

Open Source License:Apache-2.0 #Remote Sensing Image Classification #ResNet50 Fine-tuning #Medium Accuracy Model

Downloads 24

Release Time : 10/27/2022

Model Overview

This is an image classification model fine-tuned based on the ResNet-50 architecture, primarily used for image classification tasks. It achieved an accuracy of 56.3% on the evaluation set.

Model Features

ResNet-50 Architecture

Utilizes the classic ResNet-50 deep residual network architecture, suitable for image classification tasks

Fine-tuned Model

Fine-tuned based on the pre-trained ResNet-50 model to adapt to specific image classification tasks

Model Capabilities

Image Classification

Visual Feature Extraction

Use Cases

Remote Sensing Image Analysis

Satellite Image Classification

Can be used for classifying and recognizing satellite images

Achieved an accuracy of 56.3% on the evaluation set

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.7579	1.0	190	1.7123	0.5630

Property	Details
Model Type	resnet-50-finetuned-eurosat
Training Data	imagefolder
Metrics	accuracy

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご

Resnet 50 Finetuned Eurosat

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 resnet-50-finetuned-eurosat

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

📄 License