Chess piece location and identification using Machine Learning

Publication:
Chess piece location and identification using Machine Learning

dc.contributor.author	Campos Fernández, Pablo Tomás
dc.contributor.departamento	UC3M. Departamento de Informática	es
dc.contributor.tutor	Berlanga de Jesús, Antonio
dc.date.accessioned	2023-01-20T09:04:17Z
dc.date.available	2023-01-20T09:04:17Z
dc.date.issued	2022
dc.date.submitted	2022-06-22
dc.description.abstract	This project aims to identify and locate chess pieces from a chess board photograph to recreate the chess board position in digital format. To do so, several approaches will be tested to challenge previous limitations and requirements for this task to overcome them and achieve a simpler and more flexible solution. Overcoming said limitations are of great importance, as doing so will increase accessibility to chess recognition models, moving one step closer to end-user making automatic digital recreations of their over-the-board chess games.	es
dc.description.degree	Grado en Ingeniería Informática	es
dc.identifier.uri	https://hdl.handle.net/10016/36326
dc.language.iso	eng	es
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 España	*
dc.rights.accessRights	open access	es
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	*
dc.subject.eciencia	Informática	es
dc.subject.other	Redes neuronales	es
dc.subject.other	Inteligencia artificial	es
dc.subject.other	Aprendizaje automático	es
dc.title	Chess piece location and identification using Machine Learning	es
dc.type	bachelor thesis	*
dspace.entity.type	Publication