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Microelectronics

Synthetic dataset for face recognition

azienda 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