ABC Dataset

by Sebastian Koch,Albert Matveev,Zhongshi Jiang,Francis Williams,Alexey Artemov,Evgeny Burnaev,Marc Alexa,Denis Zorin,Daniele PanozzoResearch Only

ABC Dataset

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.

Dataset Attributes

Label SVG
TasksReconstruction, Estimation
Label SVG
CategoriesCad, 3D, Geometric, Shapes
Label SVG
SensorCAD