What weâre about
đ This virtual group is for data scientists, machine learning engineers, and open source enthusiasts who want to expand their knowledge of computer vision and complementary technologies. Every month weâll bring you two diverse speakers working at the cutting edge of computer vision.
- Are you interested in speaking at a future Meetup?
- Is your company interested in sponsoring a Meetup?
Contact the Meetup organizers!
This Meetup is sponsored by Voxel51, the lead maintainers of the open source FiftyOne computer vision toolset. To learn more about FiftyOne, visit the project page on GitHub: https://github.com/voxel51/fiftyone
đŁ Past Speakers
* Sage Elliott at Union.ai
* Michael Wornow at Microsoft
* Argo Saakyan at Veryfi
* Justin Trugman at Softwaretesting.ai
* Johannes Flotzinger at UniversitĂ€t der Bundeswehr MĂŒnchen
* Harpreet Sahota at Deci,ai
* Nora Gourmelon at Friedrich-Alexander-UniversitĂ€t Erlangen-NĂŒrnberg
* Reid Pryzant at Microsoft
* David Mezzetti at NeuML
* Chaitanya Mitash at Amazon Robotics
* Fan Wang at Amazon Robotics
* Mani Nambi at Amazon Robotics
* Joy Timmermans at Secury360
* Eduardo Alvarez at Intel
* Minye Wu at KU Leuven
* Jizhizi Li at University of Sydney
* Raz Petel at SightX
* Karttikeya Mangalam at UC Berkeley
* Dolev Ofri-Amar at Weizmann Institute of Science
* Roushanak Rahmat, PhD
* Folefac Martins
* Zhixi Cai at Monash University
* Filip Haltmayer at Zilliz
* Stephanie Fu at MIT
* Shobhita Sundaram at MIT
* Netanel Tamir at Weizmann Institute of Science
* Glenn Jocher at Ultralytics
* Michal Geyer at Weizmann Institute of Science
* Narek Tumanya at Weizmann Institute of Science
* Jerome Pasquero at Sama
* Eric Zimmermann at Sama
* Victor Anton at Wildlife.ai
* Shashwat Srivastava at Opendoor
* Eugene Khvedchenia at Deci.ai
* Hila Chefer at Tel-Aviv University
* Zhuo Wu at Intel
* Chuan Guo at University of Alberta
* Dhruv Batra Meta & Georgia Tech
* Benjamin Lahner at MIT
* Jiajing Chen at Syracuse University
* Soumik Rakshit at Weights & Biases
* Jiajing Chen at Syracuse University
* Paula Ramos, PhD at Intel
* Vishal Rajput at Skybase
* Cameron Wolfe at Alegion/Rice University
* Julien Simon at Hugging Face
* Kris Kitani at Carnegie Mellon University
* Anna Kogan at OpenCV.ai
* Kacper Ćukawski at Qdrant
* Sri Anumakonda
* Tarik Hammadou at NVIDIA
* Zain Hasan at Weaviate
* Jai Chopra at LanceDB
* Sven Dickinson at University of Toronto & Samsung
* Nalini Singh at MIT
đ Resources
* YouTube Playlist of previous Meetups
* Recap blogs including Q&A and speaker resource links
Sponsors
See all
Voxel51Administration, promotion, giveaways and charitable contributions.
Voxel51Administration, promotion, giveaways and charitable contributions.- Voxel51Administration, promotion, giveaways and charitable contributions.
- Voxel51Administration, promotion, giveaways and charitable contributions.
- Voxel51Administration, promotion, giveaways and charitable contributions.
- Voxel51Administration, promotion, giveaways and charitable contributions.
Upcoming events (4)
See all- Jan 16 - Ann Arbor AI, ML and Computer Vision MeetupThe Collaboration Space at UMTRI, Ann Arbor, MI
Date and Time
Jan 16, 2025 from 5:30 PM to 8:30 PMLocation
The Collaboration Space at UMTRI, 2901 Baxter Rd, Ann Arbor, MIVirtual Roads, Real Impact: The Role of Simulation and Synthetic Data in Autonomous Driving
As the generative AI revolution unfolds, autonomous vehicles are experiencing a paradigm shift from rule-based stacks to end-to-end architectures. This transition creates a need for massive amounts of sensor data for model training and validation. Sensor simulation becomes essential to augment real world datasets to meet these complex and diverse data needs. Learn how NVIDIA is bringing together physically accurate sensor simulation with existing developer workflows and collaborating with ecosystem partners to accelerate autonomous vehicle deployment.
About the Speaker
Gautham Sholingar is a Senior Manager leading AV Simulation product management for NVIDIA Omniverse. Gautham has several years of experience working in simulation, AI/machine learning, and automated driving, with prior roles at Ford Motor Company and MathWorks. Gautham holds a bachelorâs degree in electrical engineering from the University of Michigan, a masterâs degree in electrical engineering from the California Institute of Technology, and an MBA from the Haas School of Business, University of California, Berkeley.
Generating the Invisible: Generative AI for Scalable Autonomous Driving
Abstract coming soon!
About the Speaker
Felix Heide is a professor of Computer Science at Princeton, where he leads the Princeton Computational Imaging Lab, and is also the Head of AI at Torc Robotics which builds full autonomy stacks for self-driving trucks. He previously founded the startup Algolux which was acquired by Torc and Daimler Trucks.
Mcity Data Engine: From Data Stream to AI Model
The Mcity data engine is designed to train AI models on large volumes of raw sensor data. For our current use case, data is collected from roadside fisheye cameras that capture traffic at intersections. FiftyOne is used to curate the data and select diverse samples for labeling. The labeled dataset is then used to train object detectors/trackers/predictors of vehicles, bicyclists, and pedestrians.
About the Speaker
Daniel Bogdoll is a visiting research scholar at Mcity and PhD student at Karlsruhe Institute of Technology, Germany. He has been working in the field of mobility for 9 years and currently focuses on detecting unusual scenarios.
Building Better Visual AI Datasets for Mobility
Building datasets for training visual AI models is laborious, error-prone, and expensive. Even worse, we lack the ability to measure how good a dataset is for a certain task. And, yet, we spend immense amounts of capital on building datasets, especially the case in the automotive sector. This talk will explore two vectors of inquiry around improving our ability to build measurably high-quality datasets for training models. First, I will explore discuss new methods in pruning large data-lakes down to size for model training guided by the ability to estimate dataset difficulty. Then, I will describe the potential for AI-human teaming when building and annotating datasets, leveraging a human in the loop to guide auto-labeling models when labeling complex scene geometry for mobility datasets.
About the Speaker
Dr. Jason Corso is a professor of electrical engineering and computer science at the University of Michigan and co-founder and CEO of Voxel51, an AI software company creating dev tools for improving the performance of computer vision and machine learning systems.
- Network event33 attendees from 16 groups hostingJan 22 - Advanced Computer Vision Data Curation and Model Evaluation WorkshopLink visible for attendees
Are you looking for simpler and more accurate ways to perform common data curation and model evaluation tasks for your computer vision workflows?
Then this workshop with Harpreet Sahota is for you! In this 90 min hands-on workshop weâll show you how to make use of FiftyOneâs panel and plugin framework to learn how to:
- Customize the FiftyOne App to work the way you want to work
- Quickly integrate FiftyOne with new models, datasets and MLOps tools
- Automate common data curation and model evaluation tasks
- Streamline your computer vision workflows with less code and more clicks
Whether you are a beginner or advanced user of FiftyOne, looking for how to get started with customizing the dozens of existing plugins or interested in creating your own, there will be something for you in this workshop!
Prerequisites
A working knowledge of Python and basic familiarity with FiftyOne. A
ll attendees will get access to the tutorials, videos, and code examples used in the workshop.
- Network event121 attendees from 16 groups hostingVisual AI for Geospatial DataLink visible for attendees
Date and Time
Jan 29, 2025 at 9 AM Pacific / Noon Eastern
Is AI Creating a Whole New Earth-Aware Geospatial Stack? Promises and Challenges
The latest wave of AI innovation is profoundly changing many domains. In remote sensing, despite efforts like ours at Clay and others, it is been less so. In this talk we will share our experience as we realize, and explore, if geoAI represents a whole new stack to work with Earth data.
About the Speaker
Dr. Bruno Sanchez-Andrade Nuno is the executive director of the non-profit project Clay, an AI model for remote sensing. Previously, Bruno has had more than a decace of operational geosptatial system like director of the Planetary Computer at Microsoft, Big Data innovations at the World Bank, and Chief Scientist at Mapbox.
Evaluating the Satlas and Clay Remote Sensing Foundational Models
Geospatial and Earth Observation have benefited from the new advances in computer vision. In this talk we are going to evaluate the accuracy and ease of use for two of these great new models â the Satlas and Clay foundational models. The evaluation will look at distinct different areas on the globe. Come see how this gift of foundational models improves your work in geospatial or Earth observation analysis.
About the Speaker
Steve Pousty is a dad, partner, son, a founder, and a principal developer advocate at Voxel51. He can teach you about Computer Vision, Data Analysis, Java, Python, PostgreSQL, Microservices, and Kubernetes. He has deep expertise in GIS/Spatial, Remote Sensing, Statistics, and Ecology. Steve has a Ph.D. in Ecology and can be bribed with offers of bird watching or fly fishing.
Earth Monitoring for Everyone with Earth Index
Earth Index is a end user focused application that preprocesses global imagery through AI foundation models to enable rapid in-browser search and monitoring. Earth Genome builds Earth Index for critical applications in the environment, and is being used today to report on illegal airstrips built in the Peruvian Amazon, track cattle factory farms across the planet for emissions modeling, and expose illegal gold mining in the Yanomami Indigenous Territory
About the Speaker
Mikel Maron works on open technology for the earth. He leads product development and sets organizational pace at Earth Genome. Previously, Mikel led corporate social responsibility at Mapbox, elevated open mapping in the federal government as a Presidential Innovation Fellow, and founded community mapping initiatives notably Map Kibera through Ground Truth Initiative. He has a long association with the OpenStreetMap project, founding Humanitarian OpenStreetMap Team in 2005 and serving many years on the OSM Foundation Board.
Past events (82)
See all- Network event95 attendees from 14 groups hostingDec 12 - AI, ML and Computer Vision MeetupThis event has passed
