Label Smarter, Not Harder: Accelerate Vision AI Development with Auto Label

​When preparing to train a computer vision model, labeling a large dataset might be a time-intensive process. Let's see how to accelerate the process with AI-assisted labeling.

​This webinar will focus on speeding up the labeling process when developing a new computer vision model. Instead of labeling hundreds of images by hand, we’ll show how to start with just a small set of manual annotations and use Auto Label to handle the rest — in a fraction of the time.

​We'll walk through a real-world example of solving a computer vision problem, beginning with 10–15 images annotated using box prompting. With those, we’ll train an Instant Model and use it to Auto Label a much larger dataset. After that, we’ll retrain a more robust model using the newly labeled data.

​To wrap up, we’ll show the model in action inside a Roboflow Workflow, demonstrating how a few manual labels can quickly scale into a complete vision solution.

​Whether you're working with limited time, a small team, or just want to label more efficiently, this session will help you get there faster — with less manual work.

​Every Thursday at 11am ET / 8am PT 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.