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Oct 2023 - Getting Started with FiftyOne Computer Vision Workshop

2023-10-25 – 2023-10-25 Meetup Visit website ↗

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When: October 25, 2023 at 10 AM PDT (1 PM EDT / 17:00 UTC) for 90 minutes

Zoom: https://voxel51.com/computer-vision-events/fiftyone-workshop-oct-25/

Want greater visibility into the quality of your computer vision datasets and models? Then join Dan Gural, 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 Workshop: FiftyOne Basics & Hands-on Intro

2023-10-25
workshop
Dan Gural (Voxel51)
fiftyone Python 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), 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.