{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/icub-world-friendly-robots-help-building-good","title":"iCub World: Friendly Robots Help Building Good Vision Data-Sets","arxiv_id":"1306.3560","date":"2013-06-15","proceeding":null,"authors":["Sean Ryan Fanello","Carlo Ciliberto","Matteo Santoro","Lorenzo Natale","Giorgio Metta","Lorenzo Rosasco","Francesca Odone"],"abstract":"In this paper we present and start analyzing the iCub World data-set, an\nobject recognition data-set, we acquired using a Human-Robot Interaction (HRI)\nscheme and the iCub humanoid robot platform. Our set up allows for rapid\nacquisition and annotation of data with corresponding ground truth. While more\nconstrained in its scopes -- the iCub world is essentially a robotics research\nlab -- we demonstrate how the proposed data-set poses challenges to current\nrecognition systems. The iCubWorld data-set is publicly available. The data-set\ncan be downloaded from: http://www.iit.it/en/projects/data-sets.html.","url_abs":"http://arxiv.org/abs/1306.3560v1","url_pdf":"http://arxiv.org/pdf/1306.3560v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"object-recognition","task_name":"Object Recognition"}],"methods":[],"datasets_introduced":[{"slug":"icubworld","name":"ICubWorld","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1306.3560","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}