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Depth Pro

Sharp metric monocular depth in under a second, open weights.

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About

Depth Pro was unveiled by Apple's machine learning research team in October 2024 (paper arXiv 2410.02073, public announcement around October 7-10). It is a foundation model for zero-shot metric monocular depth estimation: given a single image, it synthesizes a 2.25-megapixel depth map with absolute scale in about 0.3 seconds on a standard GPU, without requiring camera intrinsics or other metadata.

The design combines an efficient multi-scale vision transformer with a training protocol mixing real and synthetic data for both metric accuracy and sharp boundary tracing, plus state-of-the-art focal-length estimation from the image alone. Apple released code and weights at github.com/apple/ml-depth-pro. The release uses Apple's sample-code licensing, so verify the terms on the repo before commercial use.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

October 7, 2024

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

depth-estimationmonocular-visionar-vrroboticsopen-weights

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 85; Trending score 78/100 from researcher assessment.

Sources