Apple's monocular model that outputs sharp metric depth plus an estimated focal length from one image, with no camera intrinsics needed.
depth-anything/Depth-Anything-V2-Small-hf
Indexed from Hugging FaceLinked to its home on Hugging Face. FrontierOS indexes it; nothing is hosted or mirrored here.ModelDepth estimation25M paramsEst. Single-board computerEstimated minimum compute for inference: Raspberry Pi 5 class CPU. Not a benchmark.Apache 2.0Mobile baseDroneSingle armHumanoid
About
Lightweight monocular model that predicts a relative depth map from a single RGB frame.
Why it matters for physical AI
Gives a camera-only robot usable depth cues for obstacle avoidance without a depth sensor.
Summary written by FrontierOS in our own words. The upstream card and license govern use. Metadata checked 27 Sep 2026. Read the full card on Hugging Face
Files, weights and version history live on Hugging Face. FrontierOS indexes this repo; it does not host or mirror it.
hf download depth-anything/Depth-Anything-V2-Small-hfUses the Hugging Face CLI (pip install -U huggingface_hub). This downloads the whole repo; add --include "<pattern>" to fetch only the files you need.
What actually runs well on a Raspberry Pi 5?
Our compute tiers are estimates based on parameter counts. Real numbers beat estimates.