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Getting Started with FiftyOne Workshop

March 12, 2025 | 9 AM PT

 

Register for the Zoom

About the Workshop

Want greater visibility into the quality of your computer vision datasets and models? Then join us for this free 90-minute, hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset. At the end of the workshop you’ll be able to:

  • Visualize complex datasets
  • Explore embeddings
  • Analyze and improve models
  • Perform advanced data curation
  • Integrations

This workshop will explore the importance of taking a data-centric approach to computer vision workflows. We will start with importing and exploring visual data, then move to querying and filtering. Next, we’ll look at ways to extend FiftyOne’s functionality and simplify tasks using plugins and native integrations. We’ll generate candidate ground truth labels, and then wrap things up by evaluating the results of fine tuning a foundational model.

Along the way, we will show you the power of combining the FiftyOne SDK with visualizations in the FiftyOne App. At the conclusion of the workshop we will walk through an advanced demo based on a 3D view reconstruction workflow.

Prerequisites: working knowledge of Python and basic computer vision concepts.

All attendees will get access to the tutorials, videos, and code examples used in the workshop

About the Instructor

Paula Ramos, PhD

Voxel51

Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia. During her PhD and Postdoc research, she deployed multiple low-cost, smart edge & IoT computing technologies, such as farmers, that can be operated without expertise in computer vision systems. The central objective of Paula’s research has been to develop intelligent systems/machines that can understand and recreate the visual world around us to solve real-world needs, such as those in the agricultural industry.