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

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

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.