talk-data.com talk-data.com

Event

Sept 2023 - Getting Started with FiftyOne Computer Vision Workshop

2023-09-27 – 2023-09-27 Meetup Visit website ↗

Activities tracked

1

When: September 27, 2023 at 9 AM PDT (12 PM EDT / 16:00 UTC) for 90 minutes

Zoom: https://voxel51.com/computer-vision-events/fiftyone-workshop-sept-27/

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.

Sessions & talks

Showing 1–1 of 1 · Newest first

Search within this event →

FiftyOne Workshop: Basics and Hands-on Introduction

2023-09-27
workshop
Dan Gural (Voxel51)
fiftyone Python computer vision fiftyone app dataset zoo

Two-part workshop led by Dan Gural. Part 1 covers FiftyOne basics (terms, architecture, installation, 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, 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. Attendees will gain access to tutorials, videos, and code examples used in the workshop.