You're currently viewing an old version of this dataset. To see the current version, click here.

ARS: Augmented Reality Semi-automatic-labeling

Two novel datasets are created using the ARS pipeline, one on electromechanical components (industrial scenario) and one on fruits (daily-living scenario).

Data and Resources

This dataset has no data

Cite this as

Daniele De Gregorio, Alessio Tonioni, Gianluca Palli, Luigi Di Stefano (2024). Dataset: ARS: Augmented Reality Semi-automatic-labeling. https://doi.org/10.57702/uphhqvad

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.1908.01862
Author	Daniele De Gregorio
More Authors	Alessio Tonioni Gianluca Palli Luigi Di Stefano
Homepage	https://github.com/m4nh/ars