# facebookresearch/Replica-Dataset

The Replica Dataset v1 as published in https://arxiv.org/abs/1906.05797 .

Repository: https://github.com/facebookresearch/Replica-Dataset
Canonical: https://ross.abutalabs.com/products/replica-dataset
Language: C++
License: NOASSERTION
License Family: other
Last push: 2024-07-22T12:41:43+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2763, "days_push": 772, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1316, forks 113 (observed 2026-08-28T04:04:20.917185+00:00)

## What it is
The Replica Dataset is a collection of 18 high-quality 3D reconstructions of indoor spaces with dense geometry, HDR textures, glass/mirror surfaces, and semantic segmentation. The accompanying C++ SDK provides a viewer (ReplicaViewer) and headless renderer, plus exports for use in the AI Habitat framework for agent training.

## Use cases
- benchmark SLAM and 3D reconstruction algorithms on indoor scenes
- train embodied AI agents in realistic indoor environments with Habitat
- render synthetic images with ground-truth geometry and semantics for computer vision research
- study semantic and instance segmentation of indoor spaces
- visualize high-fidelity 3D indoor reconstructions
- generate training data for neural rendering or scene understanding models

## When to choose
- you need photorealistic indoor scenes with dense geometry and HDR textures
- you want ground-truth semantic segmentation and glass/mirror annotations
- you train or evaluate agents in AI Habitat
- you need headless rendering of synthetic views for ML research

## When to avoid
- you need outdoor or large-scale scenes
- you want a lightweight dataset without a C++ SDK dependency
- your project requires a permissive open-source license (license is custom/non-standard)
- you need frequently updated or expanding scene collections

## Facets
- artifact type: dataset
- maturity: maintenance
- function: computer-vision, machine-learning, simulation, graphics, data-science
- domain: computer-vision, machine-learning, simulation, robotics, graphics
- platform: cpp, windows
- tags: indoor-scenes, 3d-reconstruction, semantic-segmentation, habitat-simulator, slam-benchmark, renderer, viewer, linux, macos, desktop

## Member repositories
- facebookresearch/Replica-Dataset (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:20.917185+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 2026-08-30T04:48:29.004445+00:00, confidence not recorded.
  - readme: https://github.com/facebookresearch/Replica-Dataset (fetched 2026-08-28T04:04:20.917185+00:00, sha 6da5e9019cf8)
- Data as of 2026-08-30T08:39:29.467469+00:00.