Skip to content

Developing FiftyOne Plugins Workshop

May 8, 2024 | 9 AM PT, 16:00 UTC

Register for the Zoom

By submitting you (1) agree to Voxel51’s Terms of Service and Privacy Statement and (2) agree to receive occasional emails.

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


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.


Check out some these popular plugins:

Resources for the workshop:


About the Instructor

Jacob Marks
Machine Learning Engineer and Developr Evangelist

Jacob Marks is a Machine Learning Engineer and Developer Evangelist at Voxel51, where he helps bring transparency and clarity to the world’s data. He is passionate about education, and brings years of experience teaching, TAing, and tutoring to this workshop. Prior to joining Voxel51, Jacob founded a startup to help emerging musicians connect and share creative content with fans. Before that, he worked at Google X, Samsung Research, and Wolfram Research. In a past life, Jacob was a theoretical physicist. In 2022, he completed his Ph.D. at Stanford, where he investigated quantum phases of matter.