Datasets › REAL275

REAL275 (NOCS-REAL275)

Introduced by He Wang et al. in Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation9 Jan 2019 archive 2025-07-28

REAL275 is a benchmark for category-level pose estimation. It contains 4300 training frames, 950 validation and 2750 for testing across 18 different real scenes.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
6D Pose Estimation using RGBD REAL275 GenPose https://github.com/Jiyao06/GenPose mAP 10, 5cm 84.0 GenPose: Generative Category-level Object Pose... — 11 Compare

Papers archive 2025-07-28

11 shown of 11 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 67. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • REAL275

1 variant name, as the archive lists them.

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