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Oct 30 - Workshop: Getting Started with Computer Vision and FiftyOne

2024-10-30 – 2024-10-30 Meetup Visit website ↗

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Register for the Zoom

https://voxel51.com/computer-vision-events/getting-started-with-fiftyone-workshop-oct-30-2024/

About the workshop

Want greater visibility into the quality of your computer vision datasets and models? Then join Harpreet Sahota, Hacker in Residence and 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.

About the Instructor

Harpreet Sahota is a hacker-in-residence and machine learning engineer with a passion for deep learning and generative AI. He’s got a deep interest in RAG, Agents, and Multimodal AI.

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Getting started with FiftyOne

2024-10-30
workshop
Harpreet Sahota (Voxel51)

A 90-minute hands-on workshop introducing 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 session on 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.