Auto Labeling Image Data - How to Annotate a Dataset and Train a Vision AI Model

Learn how to accelerate computer vision dataset creation using automated labeling techniques and train a custom vision AI model in this 30-minute tutorial. Discover how to leverage box prompting, instant models, and auto labeling tools to dramatically reduce the time spent manually annotating images when building custom computer vision models. Follow along as the tutorial demonstrates creating a new project, uploading sample images, and implementing AI-assisted labeling workflows to streamline the annotation process. Explore the configuration and execution of automated labeling tasks, then review the generated labels before training an RF-DETR model on the annotated dataset. See how to integrate the trained model into a practical application for detecting and counting pills, and learn to deploy and test the solution using a live webcam stream for real-time object detection and counting functionality.