DepthPro
apple/DepthPro
A popular open depth estimation model, with 4.7K downloads a month. gigarouter benchmarks and hosts it as an OpenAI-compatible API.
about this model
Depth Pro is a foundation model for zero-shot metric monocular depth estimation. It synthesizes high-resolution depth maps with sharpness and high-frequency detail. The predictions are metric with absolute scale and do not require camera intrinsics. The model is fast, producing a 2.25-megapixel depth map in 0.3 seconds on a standard GPU.
Key Strengths
- Zero-shot metric depth estimation from a single image.
- High-resolution output with sharp boundary tracing.
- No dependency on metadata such as camera intrinsics.
- State-of-the-art focal length estimation from a single image.
- Efficient multi-scale vision transformer architecture.
Best For
Applications requiring precise, metric depth maps with fine detail—such as 3D reconstruction, augmented reality, and robotics—where inference speed and camera-agnostic operation are critical.
Performance
Depth Pro produces a 2.25-megapixel depth map in 0.3 seconds on a standard GPU. The checkpoint is a re-trained implementation; its performance is close to, but does not exactly match, the model reported in the paper.
Reference
Introduced in Depth Pro: Sharp Monocular Metric Depth in Less Than a Second (Bochkovskii et al., 2024).

We're benchmarking and onboarding DepthPro as a hosted, OpenAI-compatible API. Sign in for free credit and be ready when it lands, or tell us you want it and we'll prioritize it.