Research Data Leeds Repository

Leeds Object Affordance Dataset (LOAD)

Toumpa, Alexia and Cohn, Anthony G. (2022) Leeds Object Affordance Dataset (LOAD). University of Leeds. [Dataset] https://doi.org/10.5518/1186

Dataset description

Video data of object affordances and human-object interactions.

Additional information:	Data held in RADAR at: https://radar.researchdata.leeds.ac.uk/31/ To request access please follow the RADAR link below under related resources. Access requests will be subject to an end user agreement and granted at the repository team's discretion.
Keywords:	video, human activities, human-object interactions, object affordances
Subjects:	I000 - Computer sciences > I400 - Artificial intelligence
Divisions:	Faculty of Engineering > School of Computing
Related resources:	Location Type https://radar.researchdata.leeds.ac.uk/31/ Dataset
Date deposited:	11 Nov 2022 17:35
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/1044
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Toumpa, Alexia https://orcid.org/0000-0003-4438-6809 University of Leeds https://ror.org/024mrxd33 ror Cohn, Anthony G. https://orcid.org/0000-0002-7652-8907 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: University of Leeds, Alan Turing Institute Fellowship, European Union’s Horizon 2020 research Grant numbers: 825619 (AI4EU) Publication date: 2022 Resource language: English Publisher: University of Leeds Contact Email Address: scat@leeds.ac.uk Last Modified: 11 Nov 2022 23:35

Files

Documentation

README_Toumpa_Cohn_2022.txt [2kB] README_Toumpa_Cohn_2022.txt [2kB] README_Toumpa_Cohn_2022.txt [2kB] Visible to: Anyone File name: README_Toumpa_Cohn_2022.txt Content type: Documentation Mime-Type: text/plain File size: 2kB