July 1 - Getting Started with FiftyOne

This workshop is part of our Getting Started with FiftyOne monthly series — a recurring session designed to help you build a strong foundation in data-centric AI workflows.

Time, Place and Location

July 1, 2026
9 AM PST - 10 AM PST
Online. Register for the Zoom!

In this session, you’ll learn how to manage large-scale computer vision datasets using open source FiftyOne. We’ll cover how to curate, visualize, and evaluate your data and models — with a focus on improving data quality over brute-force model iteration.

You’ll walk away with a repeatable framework for building data-centric AI pipelines across research and production.

What you’ll learn:

• Structure unstructured data into queryable schemas (images, video, point clouds)
• Query datasets using the FiftyOne SDK with filters, tags, and confidence thresholds
• Visualize high-dimensional embeddings to identify clusters, gaps, and outliers
• Automate data curation and prioritize high-value samples for labeling
• Debug model performance using evaluation tools (confusion matrices, PR curves)
• Customize FiftyOne with dashboards and interactive panels

Prerequisites:

• Working knowledge of Python
• Familiarity with machine learning and/or computer vision fundamentals