Better Machine Vision with Better Data
May 27, 2021 | 2 PM - 3 PM ET
ABOUT THIS WEBINAR
In this webinar, you will learn how to improve AI machine vision performance through leveraging best practices in data preparation. Understand how better definitions of your labeling criteria, driving towards consensus, and measuring labeling agreement can help to build better AI models. We will also cover how data can best be used to evaluate your model’s performance and ultimately help to validate a model is ready for production and continue to validate once in production.
- Learn how to spot data issues with your machine vision project
- Identify the data issues and how to remedy them
- Learn how to measure your data’s accuracy
- Learn how to properly test models using your data
Quinn KilloughQuinn Killough is driven by the goal of empowering enterprises to achieve value from AI. At Landing AI, he collaborates with manufacturers to deliver AI powered solutions and total transformations with a focus on machine vision. Leveraging his engineering background and experience in manufacturing, traditional machine vision, and machine learning, Quinn has a proven track record in deploying game changing machine vision solutions.
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