Presented by:

Onuralp SEZER

from Redon Technology, Fedora Project

I'm Onuralp, a seasoned Senior Software Engineer Team Lead with expertise in Python, Kotlin, C++, and Rust. My passion lies in the dynamic fields of Computer Vision, Machine Learning, Deep Learning. I am a long term Fedora Contributor,Fedora KDE SIG Member and others roles at Fedora Project. I am also an organizer at GDG Samsun and speaker related around Machine learning and Computer Vision. Professionally, I use Python development on backend side of works and on mobile side I used Kotlin and Flutter with Google technologies. ML sides I used Tensorflow, Tensorboard, Keras, Jax, Pytorch. In addition to my diverse skill set, I am actively contributing to a computer vision project named Supervision. Supervision is dedicated to crafting reusable computer vision tools tailored to a wide array of needs. This project embodies my commitment to advancing the field of computer vision, offering robust solutions that empower developers and researchers alike.

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In this talk, we’ll explore how Supervision streamlines common computer vision tasks, from loading datasets to annotating and analyzing images or videos. We’ll also discuss its lightweight nature, making it an ideal choice for running AI-powered vision applications on resource-constrained devices. Through practical demonstrations, attendees will learn how to set up and optimize Supervision for real-world IoT applications, including smart surveillance, automated counting, and industrial monitoring.

Whether you're a developer, researcher, or IoT enthusiast, this session will show how you can leverage Supervision to bring efficient computer vision solutions to edge devices.

Date:
2025 June 27 - 16:30
Duration:
45 min
Room:
Saal
Language:
Track:
Open Source
Difficulty:
Easy

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