Two-part workshop led by Dan Gural. Part 1 covers FiftyOne basics (terms, architecture, installation, general usage), an overview of useful workflows to explore, understand, and curate data, and how FiftyOne represents and semantically slices unstructured computer vision data. Part 2 is a hands-on introduction to FiftyOne: loading datasets from the FiftyOne Dataset Zoo, navigating the FiftyOne App, programmatically inspecting attributes, adding new samples and custom attributes, generating and evaluating model predictions, and saving insightful views into the data. Prerequisites: working knowledge of Python and basic computer vision. Attendees will gain access to tutorials, videos, and code examples used in the workshop.