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Munich Visual AI Workshop

Nov 21, 2024 | 4:00 to 7:00 PM 

Register for the workshop at Macromedia University

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Date, Time and Location

Date and Time

Nov 21, 2024 from 4:00 to 7:00 PM

Location

The workshop will take place at Macromedia University, Sandstraße 9, Room 310 in Munich

Talks and Speakers

Mastering Video Analytics with Voxel51: A Hands-on Workshop with Real-World Customer Applications

Dr. René Brunner
Datamics and Macromedia University

In this hands-on workshop, participants will explore the full potential of Voxel51 for video analytics and computer vision applications. Starting with an introduction to Voxel51’s core capabilities, we’ll dive into real-time video understanding, data management, and annotation tools.
Through a series of guided exercises, you’ll learn how to integrate Voxel51 into your video processing pipelines, enhance AI models, and streamline video data workflows. This workshop goes beyond theory by showcasing real-world customer applications, giving participants practical insights into how Voxel51 is currently solving complex video analysis challenges in diverse industries.

Whether you’re a data scientist, AI engineer, or video technology professional, this workshop will equip you with the skills and knowledge to apply Voxel51 in both experimental and production settings.

About the Speaker

Dr. René Brunner consults companies with Python and has been active in programming and Data Science for 20 years. He has published numerous papers in journals and given talks at internationally renowned conferences in the field of Big Data Science. He is a professor at the Macromedia University of Applied Sciences in Munich.

Building the Visual AI Datasets of Tomorrow: A Hands-on Workshop with Autonomous Vehicle Data

Dan Gural
Voxel51

Visual AI Datasets can come in many shapes and sizes. In this workshop you will learn how to leverage FiftyOne, a leading Open Source Visual AI library to build your Visual AI dataset of tomorrow. We will cover how to load, visualize and manage your labels and annotations on your images, videos, and 3D samples. At the end, we will do a live walkthrough of working with a Autonomous Vehicle dataset with FiftyOne

About the Speaker

Daniel Gural is a seasoned Machine Learning Engineer at Voxel51 with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data.