In this project we're going to be using machine learning to help us identify different breeds of dogs.
To do this, we'll be using data from the https://www.kaggle.com/competitions/dog-breed-identification/leaderboard. It consists of a collection of 10000+ labelled images of 120 different dog breeds.
This kind of problem is called multi-class image classification. It's multi-class because we're trying to classify multiple different breeds of dog. If we were only trying to classify dogs versus cats, it would be called binary classification.
Mutli-class image classification is an important problem because it's the same kind of technology Tesla uses in classifying real world objects for self-driving cars.