Munich AI, Machine Learning and Computer Vision Meetup
Feb 6, 2025 | 5:30 to 8:30 PM
Register for the event at Impact Hub Munich
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Date, Time and Location
Date and Time
Feb 6, 2025 from 5:30 PM to 8:30 PM
Location
The Meetup will take place at Impact Hub Munich, Gotzinger Str. 8 81371 Munich
Know Your Data: insights from France's LiDAR HD Project
Camille Maurice
Qualcomm
In this talk, we will explore the importance of thoroughly understanding our data, focusing on LiDAR semantic segmentation using LiDAR HD aerial data. Drawing from my experiences in geospatial applications at GEOSAT and autonomous driving datasets at Qualcomm, I will highlight how data-centric AI can boost model performance. We will also look at various active learning strategies that can make our models more efficient and accurate. The LiDAR HD project, which provides comprehensive aerial LiDAR data covering the entire mainland of France, serves as an excellent example. Join us to uncover the challenges and opportunities of LiDAR semantic segmentation.
About the Speaker
Camille Maurice is a French expert in Computer Vision with a PhD in Machine Learning. Her career has taken her from geospatial applications at GEOSAT in France to working on autonomous driving datasets at Qualcomm in Munich. She loves exploring the world and believes we should explore and understand our data just as thoroughly. She advocates for data-centric AI to enhance model performance. Outside of work, she likes cats and enjoys baking delicious treats.
Pixi, Conda and the Future of Python Development
Julian Hofer
Prefix.dev
Much has changed in the world of scientific Python since Conda has been released more than a decade ago. Python is now the most used language, PyPI can handle binary packages and Python package managers finally became good. In this talk, we will explore the state of the Conda ecosystem, show modern workflows with the pixi package management tool, and offer a glimpse into the future of Python development.
About the Speaker
Julian Hofer is a software developer with a background in physics. Over the course of his career, he has tackled diverse challenges, ranging from numerically solving hydrological equations to packaging complex Python applications. Currently, he works at prefix.dev, striving to alleviate the pain of dependency management for scientists and engineers.
Humanizing Data Strategy
Tiankai Feng
Thoughtworks
People are emotional, irrational and unpredictable – and yet they are the most important aspect of any data strategy. Tiankai introduces his framework of the 5 Cs – competence, collaboration, communication, creativity and conscience – with actionable examples to help you put the human being really at the center of your data efforts, and to turn your team members and employees into active advocates for your data strategy.
About the Speaker
Tiankai Feng is data leader by day, a musician by night, and an optimist at heart. He is the author of “Humanizing Data Strategy”, and is currently working as the Data Strategy & Governance Lead in Thoughtworks Europe. With 11+ years experiences in Data Analytics, Data Governance and Data Strategy, he found a passion for the human aspect of data: how to collaborate, communicate and be creative around data. He is passionate about making data more understood, approachable and fun through unconventional methods like music and memes.
Dataset Safari: Adventures from 2024's Top Computer Vision Conferences
Harpreet Sahota
Voxel51
Datasets are the lifeblood of machine learning, driving innovation and enabling breakthrough applications in computer vision and AI. This talk presents a curated exploration of the most compelling visual datasets unveiled at CVPR, ECCV, and NeurIPS 2024, with a unique twist – we’ll explore them live using FiftyOne, the open-source tool for dataset curation and analysis.
Using FiftyOne’s powerful visualization and analysis capabilities, we’ll take a deep dive into these collections, examining their unique characteristics through interactive sessions. We’ll demonstrate how to:
- Analyze dataset distributions and potential biases
- Identify edge cases and interesting samples
- Compare similar samples across datasets
- Explore multi-modal annotations and complex label structures
Whether you’re a researcher, practitioner, or dataset enthusiast, this session will provide hands-on insights into both the datasets shaping our field and practical tools for dataset exploration. Join us for a live demonstration of how modern dataset analysis tools can unlock deeper understanding of the data driving AI forward.
About the Speaker
Harpreet Sahota is a hacker-in-residence and machine learning engineer with a passion for deep learning and generative AI. He’s got a deep interest in RAG, Agents, and Multimodal AI.
Find a Meetup Near You
Join the AI and ML enthusiasts who have already become members
The goal of the AI, Machine Learning, and Computer Vision Meetup network is to bring together a community of data scientists, machine learning engineers, and open source enthusiasts who want to share and expand their knowledge of AI and complementary technologies. If that’s you, we invite you to join the Meetup closest to your timezone.
