BigBird

by Arjun Singh,James Sha,Karthik Narayan,Tudor Achim,Pieter AbbeelUnknown

BigBird

Specifically, for each of (currently) 125 objects, we provide: 1) 600 12 megapixel images, sampling the viewing hemisphere; 2) 600 registered RGB-D point clouds from a Carmine 1.09 sensor; 3) Pose information for each of the above images and point clouds; 4) Segmentation masks for each of the above images (and segmented point clouds); 5) Merged point clouds consisting of data from all 600 viewpoints; 6) Reconstructed meshes from the merged point clouds. Note that some objects, depending on their properties (e.g. transparency) may not have point clouds or meshes. We include them to enable others to develop methods to reconstruct point clouds and/or meshes.

Dataset Attributes

Label SVG
TasksClassification
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CategoriesObjects
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SensorRGB Camera + Depth