Int20h hackathon results
The team of students of the MMDA department successfully performed at the Int20h hackathon and took 4th place! In the Data Science section, they managed to develop the perfect solution in 20 hours: splitting images into unlabeled clusters for learning, and generating averaged faces for the resulting clusters that reflect gender, ethnic groups, emotions, and even stylistic features such as glasses or makeup.… Continue reading