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Syn Oct ViT Base 8Epochs 30c V2 Run
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Syn Oct ViT Base 8Epochs 30c V2 Run

Developed by g30rv17ys
An image classification model based on the ViT architecture, trained for 8 epochs on a specific dataset, achieving an accuracy of 94.99%.
Image Classification
Transformers
#OCT image classification#High-precision ViT#Medical image analysis
Downloads 13
Release Time : 10/9/2022

Model Overview

This model is an image classification model based on the Vision Transformer (ViT) architecture, primarily used for high-precision image classification tasks.

Model Features

High accuracy
Achieves an accuracy of 94.99% on the evaluation dataset, demonstrating excellent performance.
Based on ViT architecture
Utilizes the Vision Transformer architecture, effectively capturing global features in images.
Efficient training
Reaches high performance with only 8 training cycles, indicating high training efficiency.

Model Capabilities

Image classification
Feature extraction

Use Cases

Medical imaging
OCT image classification
Used for classification tasks of Optical Coherence Tomography (OCT) images.
Accuracy of 94.99%
Industrial inspection
Product quality inspection
Used for automatic classification of product quality on production lines.
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