Better Machine Vision with Better Data

May 27, 2021 | 2 PM - 3 PM ET

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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.

Key Takeaways:

  • 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

Watch this Webinar

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Exclusive Sponsor

Sponsor Logo Landing AI is an industrial AI company that provides enterprise-wide transformation programs and solutions. By providing an end-to-end AI platform, Landing AI enables customers to create, deploy and scale AI-powered industrial computer vision applications such as defect detection faster and with higher accuracy. The mission of Landing AI is to empower companies to jumpstart AI adoption, propel teams toward success and create practical business value today. Founded by Dr. Andrew Ng, co-founder of Coursera, and founding lead of Google Brain, the team at Landing AI is uniquely positioned to help companies across the globe successfully move their AI projects from proof of concept to full-scale production.

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Quinn Killough

Quinn 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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