facebookresearch/co3d resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1173 stars · 87 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Tooling for the CO3Dv2 (Common Objects In 3D) dataset, a large-scale collection of real-life multi-view images of everyday objects with camera poses and segmentation masks. It includes scripts for downloading the dataset (5.5 TB full, 8.9 GB single-sequence subset) and supporting the CO3D Challenge evaluation.

Use cases

• download the CO3Dv2 dataset for 3D reconstruction research
• train single-view or multi-view 3D object reconstruction models
• evaluate models on the Common Objects in 3D Challenge
• get multi-view images with camera poses and segmentation masks
• download a small single-sequence subset for many-view single-sequence experiments

When to choose

• you need a large real-world multi-view 3D dataset for category-level object reconstruction
• you want to benchmark against published CO3D results or enter the CO3D Challenge
• you need camera poses and segmentation masks for real-life object sequences

When to avoid

• you lack ~5.5 TB of disk space and only need synthetic 3D data
• you need a ready-made 3D reconstruction model rather than dataset tooling
• you need the original v1 dataset without switching to the v1 branch

Facets

dataset · maturity stable

data-science machine-learning computer-vision image-processing computer-vision machine-learning deep-learning python windows 3d-reconstruction dataset-tools benchmark research-dataset facebook-research multiview datasets linux macos

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markdown · JSON · MCP: product_card(name="facebookresearch/co3d")