free webinar

Webinar Description:

Manual labeling is slow to scale, even for experienced annotation teams. In this webinar, we show how VisionRepo works as an AI labeling copilot for labeling companies and annotation teams. The process is simple. Label around 40 images per class, use them to build a custom AI labeling engine, and let VisionRepo assist in labeling the rest of the dataset in hours instead of weeks. Human labelers remain in control by reviewing and refining AI suggestions while significantly increasing throughput and consistency.

What you’ll learn:

• How to label around 40 images per class to build your own custom AI labeling engine
• How to generate models for classification, object detection, and segmentation
• How VisionRepo assists labelers in auto-labeling massive image and video datasets
• How human-in-the-loop workflows work, including task assignment, review, and approval
• How labeling teams can increase throughput while maintaining quality and control

Who This Webinar Is For

• Data labeling companies and annotation service providers
• Labeling team leads and operations managers
• Computer vision teams managing large image or video datasets
• AI and machine learning teams looking to scale labeling efficiently
• System integrators and service providers delivering AI-ready datasets to customers

Reserve your spot to see VisionRepo in action and learn how AI-powered auto-labelling can save time and improve accuracy.