Datasets › DRACO20K

DRACO20K

Introduced by Rahul Sajnani et al. in DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects25 Nov 2020 archive 2025-07-28

DRACO20K dataset is used for evaluating object canonicalization on methods that estimate a canonical frame from a monocular input image.

Provides: 1. Mixed Reality Multi-view RGB-D images rendered from ShapeNet objects 2. Camera poses 3. NOCS maps 4. Semantic 2D keypoints with visibility 5. Object-centric mask

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

3D Reconstruction 3D Pose Estimation 3D Depth Estimation

License archive 2025-07-28

MIT License

Modalities archive 2025-07-28

Images 3D RGB-D

Languages archive 2025-07-28

English

Variants archive 2025-07-28

DRACO20K

1 variant name, as the archive lists them.

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