Research Data Leeds Repository

Citation

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:	This dataset is held in the Restricted Access Data Repository, RADAR. To request access, please click the link under ‘Related resources’. You will be prompted to complete a request form including your intended use of the dataset. You will then receive an initial response to your request within 10 working days.
Keywords:	video, human activities, human-object interactions, object affordances
Subjects:	I000 - Computer sciences > I400 - Artificial intelligence
Divisions:	Faculty of Engineering and Physical Sciences > School of Computing
Related resources:	Location Type https://radar.researchdata.leeds.ac.uk/31/ Dataset https://etheses.whiterose.ac.uk/33571/ Ethesis
Date deposited:	11 Nov 2022 17:35
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1044
Additional details Additional details Creators or authors: 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 Metadata language: English Publisher: University of Leeds Contact email: scat@leeds.ac.uk Last Modified: 26 Nov 2024 09:27

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