Portfolio · Machine Learning · MSc Project
Puffin Image Matching
The scope of the project is to build a machine learning model to predict the matching and unmatching puffin birds. Basically, it’s a task of finding matching features between puffin images. Image similarity is the measure of how similar two birds are; it quantifies the degree of similarity between intensity patterns in two images. So, we built a CNN learning model to train and find the same puffin bird images.