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Vit Base Brain Mri

Developed by andrei-teodor
An image classification model fine-tuned on the BrainMRI dataset based on Google's ViT base model
Downloads 42
Release Time : 8/25/2024

Model Overview

This model is a variant based on the Vision Transformer (ViT) architecture, specifically fine-tuned for brain MRI image classification tasks.

Model Features

Based on ViT Architecture
Utilizes the Vision Transformer architecture, leveraging self-attention mechanisms to process image data
Specialized for Brain MRI
Specifically fine-tuned for brain MRI image classification tasks
Moderate Accuracy
Achieves an accuracy of 0.599 on the evaluation set

Model Capabilities

Brain MRI Image Classification
Medical Image Analysis

Use Cases

Medical Imaging
Brain Disease Classification
Classifies brain MRI images to identify potential disease types
Achieves an accuracy of 0.599 on the test set
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