Getting Started with FiftyOne Workshop
March 27, 2024 | 9 AM PT, 16:00 UTC
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About the Workshop
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.
About the Instructor
Daniel Gural
ML Engineer & Evangelist at Voxel51
Daniel Gural is a seasoned Machine Learning Evangelist with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data. Currently serving as a valuable member of Voxel51, he takes a leading role in efforts to bridge the gap between practitioners and the necessary tools, enabling them to achieve exceptional outcomes. Daniel’s extensive experience in teaching and developing within the ML field has fueled his commitment to democratizing high-quality AI workflows for a wider audience.
Beyond his professional role at Voxel51, Daniel actively contributes to the growth and development of young entrepreneurs and STEM students at the high school and college levels, serving as a mentor. His dedication to fostering the next generation of innovators showcases his belief in the importance of sharing knowledge and inspiring others to embrace the world of AI.