This repository provides the official implementation of ZoeDepth, a neural network model that performs zero-shot metric depth estimation. The model combines relative depth predictions with metric depth adaptation to achieve accurate depth measurements across diverse scenes without requiring scene-specific fine-tuning. It leverages pretrained transformers and adaptive bin strategies to produce metric-accurate depth maps from monocular images.