iCub World: Friendly Robots Help Building Good Vision Data-Sets
dc.contributor.author | Fanello, SR | en |
dc.contributor.author | Ciliberto, C | en |
dc.contributor.author | Santoro, M | en |
dc.contributor.author | Natale, L | en |
dc.contributor.author | Metta, G | en |
dc.contributor.author | Rosasco, L | en |
dc.contributor.author | Odone, F | en |
dc.date.accessioned | 2017-06-23T15:46:08Z | |
dc.date.available | 2017-06-23T15:46:08Z | |
dc.date.issued | 2013-06-15 | en |
dc.identifier.uri | http://hdl.handle.net/10026.1/9537 | |
dc.description | CVPR2013 Workshop: Ground Truth - What is a good dataset?. Portland, USA (June 28, 2013 | en |
dc.description.abstract |
In this paper we present and start analyzing the iCub World data-set, an object recognition data-set, we acquired using a Human-Robot Interaction (HRI) scheme and the iCub humanoid robot platform. Our set up allows for rapid acquisition and annotation of data with corresponding ground truth. While more constrained in its scopes -- the iCub world is essentially a robotics research lab -- we demonstrate how the proposed data-set poses challenges to current recognition systems. The iCubWorld data-set is publicly available. The data-set can be downloaded from: http://www.iit.it/en/projects/data-sets.html. | en |
dc.language.iso | en | en |
dc.subject | cs.CV | en |
dc.subject | cs.CV | en |
dc.title | iCub World: Friendly Robots Help Building Good Vision Data-Sets | en |
dc.type | Journal Article | |
plymouth.author-url | http://arxiv.org/abs/1306.3560v1 | en |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics | |
dc.rights.embargoperiod | Not known | en |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | en |
rioxxterms.type | Journal Article/Review | en |