Part 2 of the workshop providing 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 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.

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.