Part 1: FiftyOne Basics (terms, architecture, installation, and general usage); overview of useful workflows to explore, understand, and curate your data; how FiftyOne represents and semantically slices unstructured computer vision data.

90-minute hands-on workshop led by Harpreet Sahota (Machine Learning Engineer at Voxel51) covering FiftyOne basics, workflows to explore/understand/curate data, representation of unstructured computer vision data, and a hands-on session including loading datasets, navigating the FiftyOne App, inspecting attributes, adding samples/attributes, generating/evaluating model predictions, and saving insightful views.

A free 90-minute hands-on workshop on leveraging 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: 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.

Hands-on for loading 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; save insightful views into the data.

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 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; Save insightful views into the data.

First part of the workshop covering 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.

Hands-on workshop covering FiftyOne basics (terms, architecture, installation, and general usage) and useful workflows to explore, understand, and curate data, followed by a hands-on introduction to FiftyOne (loading datasets from the FiftyOne Dataset Zoo, navigating the FiftyOne App, inspecting dataset attributes, adding samples and custom attributes, generating and evaluating model predictions, and saving insightful views).

A hands-on workshop introducing FiftyOne basics (terms, architecture, installation, and general usage) and workflows to explore, understand, and curate data, followed by a second half focused on 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.

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.

Hands-on 90-minute workshop led by Dan Gural, Machine Learning Engineer at Voxel51, to learn how to use 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, including 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.

FiftyOne Basics (terms, architecture, installation, and general usage); overview of useful workflows to explore, understand, and curate your data; how FiftyOne represents and semantically slices unstructured computer vision data

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

An overview of useful workflows to explore, understand, and curate your data

The second half provides 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; Save insightful views into the data.

In the first part of the workshop, we cover 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.

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 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.