Name: Jan 14 - Designing Data Infrastructures for Multimodal Mobility Datasets
Start: 2026-01-14T17:00:00Z
End: 2026-01-14T18:00:00Z

This technical workshop focuses on the data infrastructure required to build and maintain production-grade mobility datasets at fleet scale.

**Date, Time and Location**

Jan 14, 2026
9:00-10:00 AM Pacific
Online. **[Register for the Zoom!](https://link.voxel51.com/26-0114-mobility-webinar-meetup)**

We will examine how to structure storage, metadata, access patterns, and quality controls so that mobility teams can treat perception datasets as first-class, versioned “infrastructure” assets. The session will walk through how to design a mobility data stack that connects object storage, labeling systems, simulation environments, and experiment tracking into a coherent, auditable pipeline.

What you’ll learn:

* **Model the mobility data plane:** Define schemas for camera, LiDAR, radar, and HD, and represent temporal windows, ego poses, and scenario groupings in a way that is queryable and stable under schema evolution.
* **Build a versioned dataset catalog with FiftyOne**: Use [FiftyOne](https://docs.voxel51.com/) customized workspaces and views to represent canonical datasets, and integrate with your raw data sources. All while preserving lineage between raw logs, the curated data, and simulation inputs.
* **Implement governance and access control on mobility data:** Configure role-based access and auditable pipelines to enforce data residency constraints while encouraging multi-team collaboration across research, perception, and safety functions.
* **Operationalize curation and scenario mining workflows:** Use FiftyOne’s embeddings and labeling capabilities to surface rare events such as adverse weather and sensor anomalies. Assign review tasks, and codify “critical scenario” definitions as reproducible dataset views.
* **Close the loop with evaluation and feedback signals:** Connect FiftyOne to training and evaluation pipelines so that model failures feed back into dataset updates

By the end of the workshop, attendees will have a concrete mental model and reference architecture for treating mobility datasets as a governed, queryable, and continuously evolving layer in their stack.

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London AI, Machine Learning and Computer Vision Meetup

Jan 14 - Designing Data Infrastructures for Multimodal Mobility Datasets

London AI, Machine Learning and Computer Vision Meetup

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