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Syn Oct ViT Base 4Epochs 30c V2 Run
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Syn Oct ViT Base 4Epochs 30c V2 Run
Developed by g30rv17ys
An image classification model based on the ViT architecture, trained on an OCT image dataset with an accuracy of 86.67%
Downloads 13
Release Time : 10/9/2022
Model Overview
This model is an image classification model based on the Vision Transformer (ViT) architecture, specifically designed for the classification of Optical Coherence Tomography (OCT) images.
Model Features
High accuracy
Achieves 86.67% accuracy on OCT image classification tasks
ViT architecture
Utilizes the Vision Transformer architecture, suitable for processing image data
Short training cycle
Achieves good performance with only 4 epochs of training
Model Capabilities
Image classification
Medical image analysis
OCT image recognition
Use Cases
Medical imaging
OCT image classification
Classifying Optical Coherence Tomography images for diagnostic purposes
Accuracy of 86.67%
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