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The dataset contains ~15,000 objects that are categorized into 15 categories with 2902 unique object instances. The raw objects are represented by a list of points with global and local coordinates, normals, colors attributes and semantic labels. We also provide part annotations, which to the best of our knowledge is the first on real-world data.
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