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Resnet 50 Finetuned Resnet50 0831
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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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