Original and processed dataset of Batavia and Sarga woven fabric images

Gil Arroyo, Beatriz; Velasco Pérez, Núria; Basurto Hornillos, Nuño; Marcos Sanz, Juan; Arroyo Puente, Ángel; Urda Muñoz, Daniel; Herrero Cosío, Álvaro

dc.contributor.author	Gil Arroyo, Beatriz
dc.contributor.author	Velasco Pérez, Núria
dc.contributor.author	Basurto Hornillos, Nuño
dc.contributor.author	Marcos Sanz, Juan
dc.contributor.author	Arroyo Puente, Ángel
dc.contributor.author	Urda Muñoz, Daniel
dc.contributor.author	Herrero Cosío, Álvaro
dc.coverage.temporal	start=2022-11; end=2022-11
dc.coverage.temporal	north=43.312362; west=-4.225746; name=Textil Santanderina, Cabezón de la Sal, Spain
dc.date.accessioned	2025-01-20T09:55:57Z
dc.date.available	2025-01-20T09:55:57Z
dc.date.issued	2025-01-16
dc.identifier.uri	http://hdl.handle.net/10259/9965
dc.description.abstract	The dataset contains images of Batavia and Sarga woven fabrics. It is designed for training AI models for defect detection and quality assessment.	en
dc.description.sponsorship	The funding for this project was provided by the DECENT (Deep Learning for automatic Textile Inspection) initiative under the DIH-World 2nd Open Call framework. The authors express their gratitude to INADE for their collaboration in acquiring the images.	en
dc.language.iso	eng	es
dc.publisher	Universidad de Burgos	es
dc.rights	Atribución 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	*
dc.subject	Textile defect detection	en
dc.subject	Fabric quality control Industry 4.0	en
dc.subject	Deep Learning in manufacturing	en
dc.subject	Convolutional neural networks	en
dc.subject	Image analysis and classification	en
dc.subject.other	Inteligencia artificial	es
dc.subject.other	Artificial intelligence	en
dc.subject.other	Industria textil	es
dc.subject.other	Textile industry	en
dc.title	Original and processed dataset of Batavia and Sarga woven fabric images	en
dc.type	dataset	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.relation.projectID	info:eu-repo/grantAgreement/DIH-LEAF//S06Z06//Deep lEarning for automatiC tExtile iNspecTion/DECENT/	es
dc.type.hasVersion	info:eu-repo/semantics/acceptedVersion	es
dc.publication.year	2025

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