Retail Objects Affordance Dataset, underlying the MSc thesis: Object Affordance Detection for Mobile Manipulation in Retail Environments

DOI:10.4121/14557965.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/14557965
Datacite citation style:
van Houtum, Paul (2021): Retail Objects Affordance Dataset, underlying the MSc thesis: Object Affordance Detection for Mobile Manipulation in Retail Environments. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14557965.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Synthetically generated affordance dataset consisting of 3237 images with pixel-level annotations for either graspable or pushable affordance classes. Further, 204 annotated real images of similar scenarios are included.Images contain retail store related objects lying of supermarket floors, together with a semantic masks differentiating the object from the background.

History

  • 2021-05-11 first online, published, posted

Publisher

4TU.ResearchData

Format

Images: .png .jpg mask + label: . Synthetic data -> .png + .txt Real image data -> .jpg + .json

Organizations

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Cognitive Robotics.

DATA

Files (2)