Datasets › COPE-119
COPE-119
DynOPETs is a real-world RGB-D dataset designed for object pose estimation and tracking in dynamic scenes with moving cameras. COPE119 119 sequences covering 6 common categories from the COPE benchmark: bottles, bowls, cameras, cans, laptops, mugs. Designed for COPE (Category-level Pose Estimation) methods.
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 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- COPE-119
1 variant name, as the archive lists them.
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