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ScanObjectNN

A Benchmark Dataset on Point Cloud Classification of Real-world Objects

ScanObjectNN

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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Hong Kong University of Science and Technology
https://hkust.edu.hk/home
Task
3D Object Detection
Annotation Types
3D Point Cloud
15000
Items
15
Classes
15000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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