PyData London 2024

Sefik Serengil

This is Sefik.

I received my MSc in Computer Science from Galatasaray University in 2011.

I have been working as a software engineer since 2010.

Currently, I live and work in the financial district in London, UK but I am a true Istanbulite at heart.

My research interests are Machine Learning and Cryptography. I’ve published several research papers about these motivations. Also, I enjoy speaking to communities about these disciplines.

Moreover, I enjoy to contribute open source projects. Explore my GitHub repository to discover some notable projects, including DeepFace—a lightweight face recognition and facial attribute analysis library for Python, boasting 9K stars; RetinaFace—an lightweight Deep Face Detection Library for Python with 854 stars; and ChefBoost—a lightweight boosted decision tree library for Python, celebrated with 431 stars.

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Sessions

06-16
10:15
40min
Behind the Pixels: The Art and Science of Deep Face Recognition in Python
Sefik Serengil

This talk explores the symbiotic relationship between art and science in facial recognition technology. Focusing on the DeepFace library in Python, the talk unravels the intricacies of deep learning algorithms that breathe life into pixels, enabling computers to artistically recognize and interpret human faces. Attendees will witness practical implementations, gaining insights into the ethical considerations surrounding this transformative technology, and ultimately understanding the harmonious blend of art and science at the core of deep face recognition.

Minories