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Resnet 50 Finetuned Resnet50 0831

Developed by morganchen1007
An image classification model fine-tuned on image folder dataset based on Microsoft's ResNet-50 model, achieving 97.64% accuracy
Downloads 27
Release Time : 8/31/2022

Model Overview

This model is a fine-tuned version of the ResNet-50 architecture, specifically designed for image classification tasks. It demonstrates excellent performance on the evaluation set with an accuracy of 97.64%.

Model Features

High Accuracy
Achieves 97.64% classification accuracy on the evaluation set
Fine-tuning Optimization
Targeted fine-tuning based on the ResNet-50 pre-trained model
Stable Training
After 20 training epochs, validation accuracy steadily improved

Model Capabilities

Image Classification
Visual Feature Extraction

Use Cases

Image Recognition
General Image Classification
Can be used for classifying various types of images
97.64% accuracy
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