Computer Vision
English Letter Recognition Model
A letter-recognition project that uses image classification as a practical way to learn the full computer-vision workflow: preparing image data, training a model, and checking where recognition succeeds or fails.
Period
May 2025
Stack
PythonComputer VisionMachine LearningImage Classification
Motivation
Letter recognition is simple enough to understand quickly but still rich enough to expose the real problems of image data, model capacity, and evaluation.
Links
Core Features
- Works with image data for English letter recognition.
- Focuses on classification workflow and model evaluation.
- Provides a concrete computer-vision practice case beyond tabular data.
My Contribution
- Built the recognition workflow and organized the model experiment around image classification.
- Used the project to connect ML concepts with visual input data.
What I Learned
- Learned how image data changes the assumptions of a modeling pipeline.
- Practiced evaluating classification behavior beyond a single accuracy number.