The Restaurant Object Dataset (RGB-D) contains 306 views of one instance of each category (Bottle, Bowl, Flask, Fork, Knife, Mug, Plate, Spoon, Teapot, and Vase), and 31 views of Unknown objects views (e.g. object views that belong to the furniture). These objects were extracted from 100 views of table-top scenes. All object views were hand annotated with the respective category labels.
The object views are named as follows: _Object.pcd - A 3D point cloud stored in PCD format (http://pointclouds.org/documentation/tutorials/pcd_file_format.php), readable with the Point Cloud Library (PCL).
Please adequately refer to the papers any time this dataset is being used. If you do publish a paper where Restaurant Object Dataset helped your research, we encourage you to cite the following paper in your publications.
@article{kasaei2015interactive,
title={Interactive open-ended learning for 3d object recognition: An approach and experiments},
author={Kasaei, S Hamidreza and Oliveira, Miguel and Lim, Gi Hyun and Seabra Lopes, Lu{\'\i}s and Tom{\'e}, Ana Maria},
journal={Journal of Intelligent \& Robotic Systems},
volume={80},
number={3-4},
pages={537--553},
year={2015},
publisher={Springer}
}
This dataset is released under the BSD License.
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