- Network event26 attendees from 12 groups hostingMay 29 - Getting Started with FiftyOne WorkshopLink visible for attendees
When
May 29, 2024 at 9 AM Pacific for 90 minutesWhere
Virtually over Zoom: https://voxel51.com/computer-vision-events/getting-started-with-fiftyone-workshop-may-29-2024/About the Workshop
Want greater visibility into the quality of your computer vision datasets and models? Then join Allen Lee, 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.
- Network event4 attendees from 12 groups hostingJune 5 - Developing FiftyOne Plugins WorkshopLink visible for attendees
When
June 5, 2024 at 9 AM Pacific for 90 minutesWhere
Virtually over Zoom: https://voxel51.com/computer-vision-events/developing-fiftyone-plugins-workshop-june-5-2024/About the Workshop
Are you ready to take your computer vision tooling to the next level? Open source FiftyOne is the most flexible computer vision toolkit on the planet. By tapping into its builtin Plugin framework, you can extend your FiftyOne experience and streamline your workflows, building Gradio-like applications with data at their core.From concept interpolation to image deduplication, optical character recognition, and even curating your own AI art gallery by adding generated images directly into a dataset, your imagination is the only limit. Join us to discover how you can unleash your creativity and interact with data like never before.
In the first part of the workshop we’ll cover:
- FiftyOne Plugins – what are they?
- Installing a plugin
- Creating your own Python plugin
- Python plugin tips
- Creating your own JavaScript plugin
- Publishing your plugin
Prerequisites
A working knowledge of Python and basic familiarity with FiftyOne. All attendees will get access to the tutorials, videos, and code examples used in the workshop.Resources
Check out some these popular plugins:
- VoxelGPT: AI Assistant for Computer Vision
- Image Quality Issues
- Image Deduplication
- AI Art Gallery
- Optical Character Recognition
- Visual Question Answering
Resources for the workshop:
- FiftyOne Plugins Documentation
- Python Operators API Docs
- FiftyOne Plugins Repo
- Plugins Channel in FiftyOne Community Slack
Videos:
- Network event3 attendees from 12 groups hostingJune 26 - Getting Started with FiftyOne WorkshopLink visible for attendees
Where
Virtually over Zoom: https://voxel51.com/computer-vision-events/getting-started-with-fiftyone-workshop-june-26-2024/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.