The Sketchfab 3D Creative Commons Collection (S3D3C)
Florian Spiess, Raphael Waltenspül, Heiko Schuldt
TL;DR
The paper addresses the need for large, diverse 3D model collections that include textures, materials, animations, and rich metadata to enable robust evaluation of modern 3D model analysis and retrieval. It introduces the Sketchfab 3D Creative Commons Collection (S3D3C), comprising $40{,}802$ CC-licensed Sketchfab models, downloaded as glTF with accompanying metadata, and filtered by license and model quality. The authors provide detailed statistics on modalities (textures, animations, sounds) and metadata coverage across licenses, and discuss category and tag distributions to illustrate dataset composition. They also acknowledge limitations such as representation bias and API constraints, and outline plans for persistence through direct downloads. Overall, S3D3C serves as a contemporary benchmark for evaluating both geometry-based and view-based 3D model analysis and retrieval methods, with practical accessibility via OSF and future direct-download support.
Abstract
The technology to capture, create, and use three-dimensional (3D) models has become increasingly accessible in recent years. With increasing numbers of use cases for 3D models and collections of rapidly increasing size, better methods to analyze the content of 3D models are required. While previously proposed 3D model collections for research purposes exist, these often contain only untextured geometry and are typically designed for a specific application, which limits their use in quantitative evaluations of modern 3D model analysis methods. In this paper, we introduce the Sketchfab 3D Creative Commons Collection (S3D3C), a new 3D model research collection consisting of 40,802 creative commons licensed models downloaded from the 3D model platform Sketchfab. By including popular freely available models with a wide variety of technical properties, such as textures, materials, and animations, we enable its use in the evaluation of state-of-the-art geometry-based and view-based 3D model analysis and retrieval techniques.
