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 led by Dan Gural on using FiftyOne for computer vision datasets and models. Part 1 covers FiftyOne basics (terms, architecture, installation, and general usage) and useful workflows to explore, understand, and curate data; Part 2 provides a hands-on introduction to FiftyOne (load datasets from the FiftyOne Dataset Zoo, navigate the FiftyOne App, inspect attributes, add new samples and custom attributes, generate and evaluate model predictions, and save insightful views).

A 90-minute hands-on workshop exploring 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 your 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, programmatically inspecting attributes, adding new samples and custom attributes to a dataset, generating and evaluating model predictions, and saving insightful views into the data. Prerequisites: working knowledge of Python and basic computer vision. Attendees get access to the tutorials, videos, and code examples used in the workshop.

Hands-on workshop to learn how to leverage the FiftyOne computer vision toolset. Topics include FiftyOne Basics (terms, architecture, installation, and general usage); overview of useful workflows to explore, understand, and curate data; how FiftyOne represents and semantically slices unstructured computer vision data. The second half is a hands-on introduction to FiftyOne, where you will learn how to load datasets from the FiftyOne Dataset Zoo, navigate the FiftyOne App, programmatically inspect attributes, add new samples and custom attributes, generate and evaluate model predictions, and save insightful views into the data.

A 90-minute 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 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, add new sample and custom attributes to a dataset, generate and evaluate model predictions, and save 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.

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.

A 90-minute hands-on workshop covering FiftyOne basics, workflows to explore and curate data, and how FiftyOne represents unstructured computer vision data, followed by a practical session to 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.

A 90-minute hands-on workshop on leveraging the FiftyOne computer vision toolset. 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. Part 2 provides 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.

A 90-minute hands-on workshop by Dan Gural (machine learning engineer, Voxel51) covering FiftyOne basics, useful workflows to explore and curate data, and how FiftyOne represents and semantically slices unstructured computer vision data, followed by a hands-on session to load datasets from the FiftyOne Dataset Zoo, navigate the FiftyOne App, inspect attributes programmatically, add samples and custom attributes, generate and evaluate model predictions, and save insightful views. Prerequisites: working knowledge of Python. Attendees get access to the tutorials, videos, and code examples used in the workshop.

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.

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.

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.

A 90-minute, hands-on workshop led by Jacob Marks, PhD (Voxel51) introducing the FiftyOne open-source computer vision toolset. The session 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. The second half provides 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.

A 90-minute hands-on workshop led by Jacob Marks, PhD (Voxel51), introducing the FiftyOne open-source 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 data. Part 2 is a hands-on introduction to FiftyOne, including 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.