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Event

July 24 - Getting Started with FiftyOne Workshop

2024-07-24 – 2024-07-24 Meetup Visit website ↗

Activities tracked

2

Where Virtually over Zoom: https://voxel51.com/computer-vision-events/getting-started-with-fiftyone-workshop-july-24-2024/

About the Workshop Want greater visibility into the quality of your computer vision datasets and models? Then join Harpreet Sahota, Machine Learning Engineer at Voxel51, for this free 90 minute, hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset.

In the first part of the workshop we’ll cover:

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

The second half will be 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 of a dataset
  • Add new sample and custom attributes to a dataset
  • Generate and evaluate model predictions
  • Save insightful views into the data

Prerequisites are a working knowledge of Python and basic computer vision. All attendees will get access to the tutorials, videos, and code examples used in the workshop.

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FiftyOne Basics, Workflows, and Data Representation

2024-07-24
workshop
Harpreet Sahota (Voxel51)

Part 1 of the workshop covering 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.

Hands-on FiftyOne: Loading datasets, App navigation, attributes, model predictions, and saved views

2024-07-24
workshop
Harpreet Sahota (Voxel51)

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.