3D-Acquired Research Dataset (3D-ARD) is a research-oriented collection of complex and large-scale 3D objects and scenes, acquired and processed using state of the art hardware and software. Its goal is to bridge the gap between computer scientists (who develop acquisition and processing tools) and practitioners (who generate and work daily with these data), by providing high-quality data representative of practitioners usages.

• Website: https://3dard.cnrs.fr
• Github project: https://github.com/3D-ARD
• Python API: https://github.com/3D-ARD/python-module
• Tutorial series: https://github.com/3D-ARD/3d-ard-python-tutorials
• Data is hosted on Archeogrid: https://www.archeogrid.fr/project/6762

For each item of the collection (e.g. an object, a building), we provide:

• raw data, acquired using different modalities (laser scanning, photogrammetry, micro-tomography),
• cleaned and reconstructed point-clouds and meshes,
• modeled version(s) of the item, produced by professional artists under experts supervision.