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ABC Dataset Chunk 0017

Authors: Koch, Sebastian
Matveev, Albert
Jiang, Zhongshi
Williams, Francis
Artemov, Alexey
Burnaev, Evgeny
Alexa, Marc
Zorin, Denis
Panozzo, Daniele
Keywords: ABC Dataset;CAD Dataset;Geometric Deep Learning;Normal Estimation
Issue Date: 2019
Series/Report no.: CVPR 2019
Abstract: We introduce ABC-Dataset, a collection of one million Computer-Aided Design (CAD) models for research of geometric deep learning methods and applications. Each model is a collection of explicitly parametrized curves and surfaces, providing ground truth for differential quantities, patch segmentation, geometric feature detection, and shape reconstruction. Sampling the parametric descriptions of surfaces and curves allows generating data in different formats and resolutions, enabling fair comparisons for a wide range of geometric learning algorithms. As a use case for our dataset, we perform a large-scale benchmark for estimation of surface normals, comparing existing data driven methods and evaluating their performance against both the ground truth and traditional normal estimation methods.
Description: ABC Dataset Chunk 0017 (10k objects). The dataset is released under the MIT License. We are grateful to Onshape for providing the CAD models and support. The copyright of these CAD models is owned by their creators. For licensing details, see Onshape Terms of Use 1.g.ii. ( This work was supported in part through the NYU IT High Performance Computing resources, services, and staff expertise. Funding provided by NSF award MRI-1229185. We thank the Skoltech CDISE HPC Zhores cluster staff for computing cluster provision. This work was supported in part by NSF CAREER award 1652515, the NSF grants IIS-1320635, DMS-1436591, and 1835712, the Russian Science Foundation under Grant 19-41-04109, and gifts from Adobe Research, nTopology Inc, and NVIDIA. For more information visit the ABC dataset website
Rights: MIT License
Appears in Collections:ABC: A Big CAD Model Dataset For Geometric Deep Learning

Files in This Item:
File Description SizeFormat 
abc_0017_feat_v00.7z3.44 GBUnknownView/Open
abc_0017_meta_v00.7z831.89 kBUnknownView/Open
abc_0017_obj_v00.7z5.97 GBUnknownView/Open
abc_0017_ofs_v00.7z149.12 MBUnknownView/Open
abc_0017_para_v00.7z1.95 GBUnknownView/Open
abc_0017_stat_v00.7z1.51 MBUnknownView/Open
abc_0017_step_v00.7z1.06 GBUnknownView/Open
abc_0017_stl2_v00.7z5.8 GBUnknownView/Open

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