Deep Learning classification model for plant recognition.
This project was an integral part of the master's degree course "Artificial Neural Networks and Deep Learning" at Politecnico di Milano. It consists in the implementation of a model for the classification of different plant species, trained over a given dataset and then evaluated using a secret test set.
This repo contains both the code used to generate the model and the 3-page report describing the development process.