Depth Anything V2 is an improved monocular depth estimation model. Trained using synthetic images and a large amount of unlabeled real images, it provides more refined and robust depth predictions compared to the previous version. The model demonstrates significant improvements in both efficiency and accuracy, with a speed that is over 10 times faster than the latest Stable Diffusion-based models.