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Octfusion Exp1 HKDB Unbalanced
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Octfusion Exp1 HKDB Unbalanced

Developed by g30rv17ys
OCTFusion is an image classification model based on PyTorch, achieving 80% accuracy on imbalanced datasets.
Image Classification
Transformers
#Medical Image Classification#Imbalanced Data Handling#High Accuracy
Downloads 34
Release Time : 2/6/2023

Model Overview

This model is primarily designed for image classification tasks, specifically optimized for handling imbalanced datasets with commendable classification performance.

Model Features

Imbalanced Dataset Handling
Specially designed for image classification tasks with uneven class distribution
Moderate Accuracy
Achieves 80% classification accuracy on the target dataset

Model Capabilities

Image Classification
Imbalanced Data Learning

Use Cases

Medical Imaging Analysis
Ophthalmic Disease Classification
Classifying ophthalmic diseases using OCT images
Achieves 80% accuracy on imbalanced datasets
Industrial Inspection
Defective Product Detection
Identifying defective products on production lines
Suitable for scenarios with uneven defect distribution
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