AWS Dog Breed Classifier – Computer Vision Project
This project is part of my work in the Future AWS AI Scientist program with Udacity.
The goal was to build a dog breed classifier that can identify the breed of a dog from an input image using a pre-trained deep learning model.
What I did
- Used a pre-trained CNN model and fine-tuned it for dog-breed recognition.
- Processed image data and organized it into training, validation, and test sets.
- Deployed and ran the model using AWS tooling and a reproducible notebook workflow.
Why it matters
This project strengthened my understanding of transfer learning, model evaluation, and how to take a computer vision workflow from experimentation to a more production-ready structure on AWS.