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Puffin Image Matching

CategoryMachine Learning
Project dateWinter, 2020

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.

PythonMachine LearningCNNData augmentationImage processing