Designed a deep learning model to detect four classes of eye diseases: Cataract, Glaucoma, Diabetic Retinopathy, and Normal. Developed a graphical user interface (GUI) for image uploads, enabling the assessment of potential eye diseases with various accuracy metrics. Tools Used - Python, Various DL models (majorly EfficientNet), Numpy, kaggle, React, FastAPI
-
Notifications
You must be signed in to change notification settings - Fork 0
meetpopat03/Eye-Disease-Detection-using-Machine-Learning
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Eye Disease Detection using Machine Learning Techniques
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published