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

Additional Notes:

• All attendees will receive access to tutorials and code examples
• This is a monthly recurring series — ideal for new users or those looking to level up their workflows over time