Erasmus+ Internship In Computational Sciences - Deep Learning Models For Automatic Writer/hand Identification

During your internship you will work on a project in the Cultural Heritage Technologies group, coordinated by Arianna Traviglia. This group focuses on Cultural Heritage Technologies: Automatic Document Analysis. Your activity will comprise State-of-the-art models report preparation, Data understanding, Software development of automatic writer/hand identification. And will allow you to develop competences in Software management (e.g., Git use), Data preparation to train Deep Learning models, Use of PyTorch and/or HuggingFace.