---
license: mit
base_model: google/mobilenet_v2_1.0_224
tags:
- medical
- glaucoma
- eye-disease
- image-classification
library_name: transformers.js
pipeline_tag: image-classification
---

# Glaucoma Detection Model

This model detects glaucoma from fundus (retinal) images using deep learning.

## Model Details
- **Model Type**: Image Classification (Binary)
- **Base Architecture**: MobileNetV2
- **Input**: Fundus images (224x224 pixels)
- **Output**: Binary classification (Glaucoma/No Glaucoma)
- **Framework**: TensorFlow → ONNX

## Usage with Transformers.js

```javascript
import { pipeline } from '@huggingface/transformers';

// Create image classification pipeline
const classifier = await pipeline(
  'image-classification',
  'tonyanyanwu5448/nzube-glaucoma-detection-model'
);

// Classify fundus image
const result = await classifier('path/to/fundus-image.jpg');
console.log(result);


Classes
Class 0: No Glaucoma
Class 1: Glaucoma

Medical Disclaimer:
This model is for research purposes only and should not be used for medical diagnosis without professional medical consultation.