A Large Dataset of Object Scans

TL;DR

This paper introduces a large, diverse dataset of over ten thousand 3D object scans collected by non-expert operators using mobile scanning devices, aimed at advancing research in 3D vision.

Contribution

The creation of a publicly available, large-scale dataset of real-world object scans captured outside laboratory settings using consumer-grade equipment.

Findings

Dataset includes diverse object categories from everyday items to large sculptures.

Data collection was performed without professional supervision, ensuring naturalistic scans.

The dataset is freely accessible for research purposes.

Abstract

We have created a dataset of more than ten thousand 3D scans of real objects. To create the dataset, we recruited 70 operators, equipped them with consumer-grade mobile 3D scanning setups, and paid them to scan objects in their environments. The operators scanned objects of their choosing, outside the laboratory and without direct supervision by computer vision professionals. The result is a large and diverse collection of object scans: from shoes, mugs, and toys to grand pianos, construction vehicles, and large outdoor sculptures. We worked with an attorney to ensure that data acquisition did not violate privacy constraints. The acquired data was irrevocably placed in the public domain and is available freely at http://redwood-data.org/3dscan .