# isl-org/ZoeDepth

Metric depth estimation from a single image

Repository: https://github.com/isl-org/ZoeDepth
Canonical: https://ross.abutalabs.com/products/zoedepth
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: deep-learning, depth-estimation, monocular-depth-estimation, neural-networks, pretrained-models, transformers, zero-shot-transfer, adaptive-bins, metric-depth-estimation
Archived: true
Last push: 2025-05-05T18:18:49+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 20, release rhythm 8, longevity 99
- inputs: {"age_days": 1388, "days_push": 485, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2839, forks 276 (observed 2026-08-28T04:07:24.680580+00:00)

## What it is
ZoeDepth is a PyTorch library implementing metric depth estimation from a single image, combining relative and metric depth approaches with pretrained models loadable via torch hub. It is the official implementation of the ZoeDepth paper and includes evaluation, training, and a Gradio demo.

## Use cases
- estimate metric depth from a single image
- monocular depth estimation with pretrained models
- zero-shot depth estimation on new datasets
- predict depth maps for photos in python
- 3d scene understanding from one image
- evaluate depth estimation models on NYU Depth v2

## When to choose
- you need absolute metric depth (not just relative) from a single RGB image
- you want a pretrained, easy-to-load torch hub model for depth estimation
- you need a research baseline for monocular depth estimation

## When to avoid
- you need actively maintained software with bug fixes and updates - Intel has ceased development
- you only need relative depth and can use actively maintained alternatives like MiDaS or Depth Anything
- you need production support or commercial maintenance guarantees

## Facets
- artifact type: library
- maturity: abandoned
- function: machine-learning, deep-learning, computer-vision, image-processing, transformers
- domain: computer-vision, deep-learning, machine-learning, artificial-intelligence
- platform: python, cross-platform
- tags: depth-estimation, monocular-depth, metric-depth, pytorch, pretrained-models, zero-shot-transfer, torch-hub, 3d-reconstruction, gpu

## Member repositories
- isl-org/ZoeDepth (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:24.680580+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:37:18.859918+00:00, confidence not recorded.
  - readme: https://github.com/isl-org/ZoeDepth (fetched 2026-08-28T04:07:24.680580+00:00, sha 5d5f16bd3fb4)
- Data as of 2026-08-30T08:39:29.467469+00:00.