Ultralytics YOLO11 | Training, Inference, Benchmarking, and Deployment Explained! 🚀 - How to Use Depth Anything v2 for Monocular Depth Estimation | VisionAI Research | Ultralytics 🤯 🚀

Depth estimation allows models to infer scene geometry from a single image. In this tutorial, we walk through how to use Depth Anything v2 for monocular depth estimation, focusing on understanding the model, its outputs, how to run inference, interpreting its depth maps, and its applications in computer vision tasks such as scene understanding, robotics, AR/VR, and spatial reasoning. Chapters: 00:00 - Introduction to depth estimation 00:31 - Depth anything v2 documentation walkthrough 02:04 - Depth anything v2 output demo 03:40 - Python code walkthrough 07:03 - Running inference with the depth anything v2 model 09:13 - Real-time depth estimation using a webcam 10:12 - Conclusion and key takeaways 🔗 Code ➡️ https://drive.google.com/file/d/1JXly9aorDCAi4a7ONYxOJyqG7i09dCST/view?usp=drive_link Ultralytics YOLO Resources: 💻 GitHub Repository: https://github.com/ultralytics/ 📚 Documentation: https://docs.ultralytics.com/ #depthestimation #depthanything #computervision #monoculardepth #python #visionai