ABC: Model Datasets for Geometric Deep Learning

A collection of 1 Million Computer-Aided Design (CAD) Models for Geometric Deep Learning Research

Christopher Dossman
May 7 · 2 min read

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Big data and deep learning networks are transforming many areas of machine learning (ML). To achieve more accurate models though, adequate data is crucial. Good news — data availability is increasingly being made possible by the ubiquity of acquisition devices and massive data sharing on social media.

However, the situation is completely different for 3D geometric models. Even with growing 3D sensors availability and improved 3D design tools, acquiring or constructing high-quality geometric techniques is still difficult.

A Big CAD Model Dataset For Geometric Deep Learning

Scholars have introduced a new and massive ABC-Dataset comprising a collection of 1 million Computer-Aided Design (CAD) models for research of geometric deep learning methods and applications.

Each model is represented through a collection of plainly parametrized curves and surfaces that provide ground truth for differential quantities, patch segmentation, geometric feature detection, and shape reconstruction.

Random examples from the dataset. Most models are mechanical parts with sharp edges and well-defined surfaces

The researchers have performed a large-scale benchmark for the estimation of surface normals, comparing existing data-driven methods and evaluating their performance against both the ground truth and traditional normal estimation methods.

Potential Uses and Effects

With so much data on the table, its time for the AI community to dig deep into geometric deep learning research and applications. The available 3D dataset can be implemented for data-driven processing and applications of geometrical data.

The dataset is available here

Read more: https://arxiv.org/abs/1812.06216v2

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Christopher Dossman

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Deep Learning Engineer, Teacher, and Entrepreneur

AI³ | Theory, Practice, Business

The AI revolution is here! Navigate the ever changing industry with our thoughtfully written articles whether your a researcher, engineer, or entrepreneur