The final project for the computer science club involves utilizing machine learning (Python) to recognize handwritten Arabic alphabets. We're working with a dataset of over 60,000 images, split into test and train categories. As my current model has achieved an efficiency rate of over 83%.
-
Notifications
You must be signed in to change notification settings - Fork 0
The final project for the computer science club involves utilizing machine learning (Python) to recognize handwritten Arabic alphabets. We're working with a dataset of over 60,000 images, split into test and train categories. As my current model has achieved an efficiency rate of over 83%.
Karim-Atef-Mohammed/AI-Arabic-Alphabet-Classifier
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
The final project for the computer science club involves utilizing machine learning (Python) to recognize handwritten Arabic alphabets. We're working with a dataset of over 60,000 images, split into test and train categories. As my current model has achieved an efficiency rate of over 83%.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published