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.
Resources: All attendees will get access to the tutorials, videos, and code examples used in the workshop.
Learn how to:
- Visualize complex datasets
- Explore embeddings
- Analyze and improve models
- Perform advanced data curation
- Build integrations with popular ML tools, models, and datasets