Ultralytics Live Session: Introducing Ultralytics YOLO Depth Estimation
Join this live session to learn how the new depth estimation task in Ultralytics YOLO26 predicts per-pixel, metric-scale depth from a single RGB image, no stereo rig or LiDAR required. We'll explain how monocular depth estimation works, how it differs from other computer vision tasks, and how to generate, visualize, and calibrate depth maps for practical applications. See how key industries including robotics, automotive, and manufacturing can benefit from this feature, and learn how to get started.
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Speakers
Glenn Jocher
Founder & CEO
Glenn Jocher is Founder and CEO of Ultralytics, the company behind YOLO, the world's most widely adopted computer vision models. His work isn't just about building faster, more accurate models; it's about empowering people everywhere to solve meaningful problems with vision AI.
Alexis Schutzger
Solutions Engineer
Alexis Schutzger is a Solutions Engineer at Ultralytics, where he helps customers and partners deploy Ultralytics YOLO models for real-world computer vision applications. He has represented the company at industry events such as Embedded World 2025, showcasing how YOLO models are applied to embedded and edge AI.
Jing Qiu
Senior Machine Learning Engineer
Jing Qiu is a Senior Machine Learning Engineer at Ultralytics, focused on improving the performance, scalability, and real-world applicability of state-of-the-art computer vision models. His work spans model architecture, training optimization, and deployment, helping ensure Ultralytics YOLO delivers industry-leading accuracy and efficiency for developers and enterprises worldwide.