Webinar: Applied Computer Vision

What to expect?

A self-driving car must functionally understand the road and its environment the way a human would from the driver's seat. One promising computer vision approach is semantic segmentation: parse scenes from a dashboard camera into relevant objects (cars, pedestrians, traffic signs), foreground (road, sidewalk), and background (sky, building). We’ll dive into a few key use cases in the autonomous navigation space, including point clouds, and see how W&B can support and enhance this cutting-edge research. You will learn about: - core self-driving subproblems such as semantic segmentation and object detection in 2D and 3D - W&B visualization and collaboration tools to simplify and accelerate computer vision and machine learning research - How reports let you organize your work, describe your findings, and share updates with colleagues.