WorkshopOnline

Aug 11 - Debugging Physical AI Models at Scale with Multimodal Data Workshop

AUG11
21:30 · Asia / Kolkata
  • Voxel51 hosts a workshop focused on using multimodal data workflows in FiftyOne to inspect, search, and debug complex physical AI datasets.
  • The session is designed for AI practitioners and researchers working with Physical AI models seeking practical tools to improve data handling and analysis.
  • Participants will learn strategies to effectively debug and understand multimodal data at scale.

About this event

Join Voxel51 for a live workshop on how multimodal data workflows in FiftyOne help teams inspect, search, and debug complex Physical AI datasets and explain black-box model behavior at scale. We’ll show how teams can work with synchronized video and sensor data, query for similar scenarios across their datasets, and uncover patterns behind model failures faster than playback-only visualization tools allow.

Date, Time and Location

Aug 11, 2026
9:00 AM - 10:00 AM PST
Online. Register for the Zoom!

As robotics and autonomous vehicle teams move from traditional perception models to end-to-end Physical AI systems, understanding model behavior is becoming harder than ever. These models ingest synchronized inputs from cameras, sensors, and other data streams, but their decisions can be difficult to explain, reproduce, and improve.

You’ll learn how to use multimodal data to investigate questions like: when did the model swerve, miss an object, misinterpret a scene, or behave unexpectedly — and how can you find every similar moment across your dataset?

Designed for robotics, AV, and machine learning teams, this session will show how FiftyOne helps turn multimodal data into a scalable workflow for model evaluation, debugging, and improvement.

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