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Vit Base Patch16 224 Finetuned Chest
V
Vit Base Patch16 224 Finetuned Chest
Developed by adielsa
An image classification model fine-tuned on chest image datasets based on Google's ViT model, achieving 99% accuracy
Downloads 37
Release Time : 2/5/2023
Model Overview
This is an image classification model based on the Vision Transformer architecture, specifically fine-tuned and optimized for chest medical images, suitable for chest X-ray classification tasks.
Model Features
High Accuracy
Achieves 98.99% classification accuracy on the evaluation set
Medical Image Optimization
Specifically fine-tuned for chest medical images
Based on ViT Architecture
Utilizes the advanced Vision Transformer architecture
Model Capabilities
Medical Image Classification
Chest X-ray Analysis
High-Precision Image Recognition
Use Cases
Medical Diagnosis
Chest X-ray Classification
Used for automatic classification of chest X-rays to assist doctors in diagnosis
98.99% accuracy
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