Computer Vision Transformation Workshop: Accelerate Product Cycles with Synthetic Data
WHEN: Tuesday, August 1, 2023 at 9:00 AM PDT
WHERE: Online, Zoom
Join us for an immersive workshop, where you'll learn how to leverage synthetic data to accelerate your computer vision product cycles. In the age of data-centric AI, the largest potential for computer vision optimization lies in data preparation. Physical data collection and processing can be costly and limited in variability, while synthetic data opens new horizons for shorter product launch cycles and improved model robustness.
During this workshop, our experienced instructors will guide you through the process of using synthetic data for computer vision development. You'll gain a deep understanding of the benefits and limitations of synthetic data compared to physical data. We'll explore typical processes and tools for synthetic data generation, with a particular focus on NVIDIA Omniverse and how its Replicator tool can help generate visual data for model training.
The workshop will feature an interactive session where you'll dive into a real-world case study and engage in ideation exercises. This hands-on experience will allow you to apply the concepts learned and explore the potential of synthetic data in your own computer vision projects.
Agenda
Introduction (10 minutes)
- Get acquainted with participants and instructors.
- Discuss workshop objectives and what you can expect to learn.
- Outline the agenda for the session.
Data challenges in computer vision development (5 minutes)
Physical data vs Synthetic data: benefits and limitations (5 minutes)
Synthetic data generation: typical processes and tools (5 minutes)
What is NVIDIA Omniverse and how Replicator can help generate visual data for model training (5 minutes)
Interactive session: Case study and ideation (20 minutes)
Wrapping Up (5 minutes)
- Summarize key takeaways from the workshop.
- Recap the importance of accelerating product cycles with synthetic data
By the end of this workshop, you'll:
- Understand the importance of data challenges in computer vision development.
- Recognize the benefits and limitations of physical data versus synthetic data.
- Gain knowledge of typical processes and tools for synthetic data generation.
- Explore how NVIDIA Omniverse and Replicator can facilitate visual data generation for model training.
- Apply the concepts learned to a case study and engage in ideation exercises.
- Summarize the key takeaways and understand the significance of accelerating product cycles with synthetic data.
Don't miss this opportunity to enhance your computer vision skills and unlock the potential of synthetic data. Join us for the Computer Vision Transformation Workshop and take a significant step towards optimizing your product cycles.