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
NAYANA: AI Assisted Fundus Screening dan RAG Based Eye Health Education untuk Mendukung Deteksi Dini Indikasi Penyakit Mata
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
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