Join this free, 90-minute hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset for greater visibility into the quality of your computer vision datasets and models. The workshop will cover:
- Object detection
- Embeddings
- Mistakenness
- Deduplication
The session emphasizes a data-centric approach to computer vision workflows. Participants will start by importing and exploring visual data, then move on to querying and filtering. The workshop will also demonstrate how to extend FiftyOne’s functionality and simplify tasks using plugins and native integrations. Attendees will learn to generate candidate ground truth labels and evaluate the results of fine-tuning a foundational model.
Prerequisites: Working knowledge of Python and basic computer vision concepts.
All attendees will receive access to the tutorials, videos, and code examples used in the workshop
Instructor:
Antonio Rueda-Toicen, AI Engineer in Berlin and Research Scientist at the Hasso Plattner Institute, will lead the session. Antonio has extensive experience deploying machine learning models and has taught over 300 professionals. He specializes in computer vision, cloud technologies, and machine learning, and is a certified instructor of deep learning and diffusion models in NVIDIA’s Deep Learning Institute.
