In this hands-on session, we'll focus on building an efficient workflow using tools like Voxel51, ZenML, and Streamlit. Hamza will guide you through creating an automated pipeline for computer vision tasks, demonstrating how you can transition smoothly from data labeling to model training and deployment.
Moreover, you'll learn how to refine and retrain your model by reviewing and updating your labeled data, an essential step for improving model performance. Hamza will discuss best practices in handling image data and composing MLOps pipelines that can be scaled up locally and on the cloud.
