Computer Vision
-
Updated
Apr 12, 2025 - Jupyter Notebook
Computer Vision
The Eye Disease Classification project aims to develop a robust model for the automated classification of retinal images . Leveraging a diverse dataset sourced from reputable repositories, the project employs a Convolutional Neural Network (CNN) architecture, with a focus on utilizing the pre-trained VGG19 model.
Know Your Sight is an AI-powered web platform designed to make eye disease detection faster, smarter, and more accessible for everyone.
Lightweight TinyVGG Inspired CNN 1.35M Parameter with Squeeze-and-Excitation blocks for ocular disease classification
This project focuses on the automated detection and classification of common ocular diseases using advanced deep learning techniques, leveraging transfer learning for enhanced performance.
Predicts Eye Disease from Images
Add a description, image, and links to the eye-diseases-classification topic page so that developers can more easily learn about it.
To associate your repository with the eye-diseases-classification topic, visit your repo's landing page and select "manage topics."