Hands-on workshop to learn how to leverage the FiftyOne computer vision toolset. The session covers FiftyOne basics, useful workflows to explore, understand, and curate data, and a hands-on introduction to loading datasets, navigating the FiftyOne App, inspecting attributes, adding samples and custom attributes, generating model predictions, and saving insightful views.

Two-part workshop: Part 1 covers FiftyOne Basics (terms, architecture, installation, and 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 of a dataset, adding new samples and custom attributes to a dataset, generating and evaluating model predictions, and saving insightful views into the data.

Hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset. Part 1 covers FiftyOne basics (terms, architecture, installation, and 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: load datasets from the FiftyOne Dataset Zoo, navigate the FiftyOne App, programmatically inspect attributes of a dataset, add new sample and custom attributes to a dataset, generate and evaluate model predictions, and save insightful views into the data.

Hands-on workshop led by Allen Lee (Machine Learning Engineer, Voxel51) covering FiftyOne Basics, workflows for exploring, understanding, and curating computer vision data, and how FiftyOne represents and slices unstructured data. The second half is an introduction to FiftyOne hands-on: loading datasets from the FiftyOne Dataset Zoo, navigating the FiftyOne App, programmatically inspecting dataset attributes, adding new samples and custom attributes, generating and evaluating model predictions, and saving insightful views from the data. Prerequisites: working knowledge of Python and basic computer vision.

Two-part hands-on workshop on the FiftyOne computer vision toolset. Part 1 covers FiftyOne basics (terms, architecture, installation, and general usage), useful workflows to explore, understand, and curate data, and how FiftyOne represents and slices unstructured data. Part 2 is a hands-on introduction to FiftyOne, including loading datasets from the FiftyOne Dataset Zoo, navigating the FiftyOne App, programmatically inspecting dataset 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.