Cat Breed Classifier: A Web-Based Deep Learning Application

A web-based AI classifies 10 cat breeds. Upload an image and our retrained SqueezeNet model will identify the breed.

This project showcases the web deployment of a computer vision model that classifies ten different breeds of cats. 🐈

It's the extended and interactive web application for a final project, "Retrain Neural Network to Classify New Images," by Satienpong Yiengvanichchakul and Jirapas Jatejaroungkit from the Department of Computer and Information Sciences at KMUTNB.

The application utilizes a retrained SqueezeNet neural network, allowing users to upload an image and receive a classification prediction for one of the following cat breeds:

• Bengal
• British Shorthair
• Exotic Shorthair
• Khao Manee
• Korat
• Maine Coon
• Persian
• Ragdoll
• Scottish Fold
• Siamese

This web app demonstrates the practical application and deployment of a machine learning model, making the image classification tool accessible and easy to use for everyone. You can try it out here: https://btz-image-classify.web.app/

The git project is here: https://github.com/bethezank/btz-image-classify