Session

Getting Started with FiftyOne for Agriculture Use Cases

Want greater visibility into the quality of your computer vision datasets and models? Then join us for this free 90-minute, hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset. At the end of the workshop, you’ll be able to:

Load and visualize agricultural datasets with complex labels
Explore data insights interactively using embeddings and statistics
Work with geolocation and map-based visualizations
Generate high-quality annotations with the Segment Anything Model (SAM2)
Evaluate model performance and debug predictions using real AgTec scenarios

Prerequisites:

Working knowledge of Python and basic computer vision concepts.

https://youtu.be/r9CZDt2eLzc?si=NHJTO6IBOPtBHD2E

Paula Ramos

Senior DevRel

Raleigh, North Carolina, United States

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