Datasets › BigBIRD
BigBIRD (Big Berkeley Instance Recognition Dataset)
BigBIRD is a 3D dataset of 125 objects, with the following data for each object:
- 600 12 megapixel images, sampling the viewing hemisphere
- 600 registered RGB-D point clouds from a Carmine 1.09 sensor
- Pose information for each of the above images and point clouds
- Segmentation masks for each of the above images (and segmented point clouds)
- Merged point clouds consisting of data from all 600 viewpoints
- Reconstructed meshes from the merged point clouds
Paper: ICRA 2014 "A Large-Scale 3D Database of Object Instances."
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
No task tagged in the archive.
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
- BigBIRD
1 variant name, as the archive lists them.
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