Improve Your Model with Automated Retraining

​When deploying computer vision in industrial settings like manufacturing, energy, or utilities, increasing the accuracy of a vision model directly reduces the number of missed defects and costly errors.

​Traditionally, improving a computer vision application requires tedious data collection and manual labeling to train a better version. Now, you can reduce the amount of manual work and improve models with continuous learning in Roboflow Rapid.

​In this live session, Roboflow Product Designer Carmen Lee will show you how to build a video-based computer vision model and immediately set up an automated retraining loop that makes your model smarter over time.

​You will learn how to implement continuous, AI-driven labeling to automatically capture new data and trigger retraining. By the end of this demo, you will see exactly how Rapid allows you to deploy and continuously improve your visual inspection models.

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​Every week we dive into the world of computer vision and explore new tools, interesting projects, and tutorials. This webinar is open to everyone, we hope to see you there!

We'll also make time at the end for open Q&A.