Hands-on workshop led by Dan Gural, Machine Learning Engineer at Voxel51. The session covers FiftyOne Basics (terms, architecture, installation, and usage), workflows to explore and curate data, and how FiftyOne represents and slices unstructured computer vision data. The second half is a hands-on introduction: loading datasets from the FiftyOne Dataset Zoo, navigating the FiftyOne App, programmatically inspecting attributes, adding samples and custom attributes, generating and evaluating model predictions, and saving insightful views. Prerequisites: working knowledge of Python and basic computer vision. Attendees will gain access to tutorials, videos, and code examples used in the workshop.