UniDepth provides universal monocular metric depth estimation by training a deep neural network to predict metric depth from a single image without requiring camera calibration. The model can generalize to any camera without domain-specific fine-tuning. It achieves top results on established benchmarks like KITTI and NYU Depth V2. The project includes training code, evaluation scripts, and pre-trained model weights.