90-minute hands-on workshop led by Leila Kaneda to learn how to leverage 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 semantically slices unstructured computer vision data. Part 2 provides a hands-on introduction to FiftyOne: loading datasets from the FiftyOne Dataset Zoo, navigating the FiftyOne App, inspecting attributes programmatically, 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.

A 90-minute hands-on workshop on the 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 where you load datasets from the FiftyOne Dataset Zoo, navigate the FiftyOne App, programmatically inspect attributes of a dataset, add new samples and custom attributes, generate and evaluate model predictions, and save insightful views into the data. Prerequisites: working knowledge of Python and basic computer vision.

A 90-minute hands-on workshop to learn how to leverage the FiftyOne computer vision toolset. Topics include FiftyOne basics (terms, architecture, installation), an overview of useful workflows to explore, understand, and curate data, and how FiftyOne represents and semantically slices unstructured CV data. The second half provides a hands-on introduction to FiftyOne: 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.

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 samples and custom attributes to a dataset, generate and evaluate model predictions, and save insightful views into the data.

An introduction to FiftyOne basics: terms, architecture, installation, and general usage, plus an overview of useful workflows to explore, understand, and curate your data, and how FiftyOne represents and semantically slices unstructured computer vision data.

A 90-minute hands-on workshop led by Leila Kaneda, Machine Learning Engineer at Voxel51. Part 1 covers FiftyOne Basics (terms, architecture, installation, and general usage) and an overview of useful workflows to explore, understand, and curate your data, plus how FiftyOne represents and semantically slices unstructured computer vision data. The second half 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, generating and evaluating model predictions, and saving insightful views into the data. Prerequisites: working knowledge of Python.