KEYWORD |
Microelectronics
Synthetic dataset for face recognition
Thesis in external company
keywords IMAGE ANALYSIS, MACHINE LEARNING
Reference persons LUCIANO LAVAGNO
External reference persons Marcello Babbi, Reply Torino
Research Groups Microelectronics
Thesis type APPLIED RESEARCH
Description The goal of the thesis is to enhance privacy and security in face recognition through synthetic dataset generation, leveraging generative AI techniques
Thesis activities:
- state of the art literature review
- generative model selection
- data preprocessing and feature engineering
- training and fine-tuning of generative models
- quality assessment via face recognition on a real dataset
Required skills Python programming, some knowledge of Machine Learning, image processing
Useful knowledge: OpenCV, C/C++, Python, Tensorflow, Pytorch
Deadline 27/09/2025
PROPONI LA TUA CANDIDATURA