This repository contains all the work carried out for the AN2DL class at Poltecnico di Milano, each folder contains a report in pdf format explaining the whole procedure followed for the development of the two projects.
The work is the result of a team effort carried out with Marco Labate and Arnab Mondal.
The first folder contains a neural network design for image classification aimed to classify images according to the number of people wearing a mask 😷
The second contains an algorithm developed in the context of an EU sposored competition 🇪🇺 for the segmentation images related to the world of precision agricoluture using autonomous robots 🤖.
For our solution we explored different models like ResNet, Xception, VGG etc.. you will be able to find the code for each of them here in the form of a jupyter notebook!