This workshop explores the FiftyOne plugin framework to build custom computer vision applications. You’ll learn to extend the FiftyOne App with Python based panels and server side operators, as well as integrate external tools for labeling, vector search, and model inference into your dataset views.
Date, Time and Location
Sep 30, 2026
9 AM - 10 AM PST
Online. Register for the Zoom!
You’ll also automate repetitive tasks by writing custom workflows executing within the FiftyOne environment. Attendees will learn to transform FiftyOne from a visualization tool into a central hub for your vision stack.
What you'll learn
Build Python plugins. Define plugin manifests and directory structures to register custom functionality within the FiftyOne ecosystem.
Develop server side operators. Write functions to execute model inference, data cleaning, or metadata updates from the App interface.
Build interactive panels. Create custom UI dashboards using to visualize model metrics or specialized dataset distributions.
Manage operator execution contexts. Pass data between the App front end and your backend to build dynamic user workflows.
Implement delegated execution. Configure background workers to handle long running data processing tasks without blocking the user interface.
Build labeling integrations. Streamline the flow of data between FiftyOne and annotation platforms through custom triggers and ingestion scripts.
Extend vector database support. Program custom connectors for external vector stores to enable semantic search across large sample datasets.
Package and share plugins. Distribute your extensions internally and externally