2026-07-29T09:39:38Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/99652025-06-12T10:06:52Zcom_10259_3847com_10259_5086com_10259_2604col_10259_8557col_10259_5684

Gil Arroyo, Beatriz Velasco Pérez, Núria Basurto Hornillos, Nuño Marcos Sanz, Juan Arroyo Puente, Ángel Urda Muñoz, Daniel Herrero Cosío, Álvaro start=2022-11; end=2022-11 north=43.312362; west=-4.225746; name=Textil Santanderina, Cabezón de la Sal, Spain 2025-01-20T09:55:57Z 2025-01-20T09:55:57Z 2025-01-16 Gil Arroyo, B., Velasco Pérez, N., Basurto, N., Marcos Sanz, J., Arroyo, A., Urda Muñoz, D., & Herrero, A. (2025). Original and processed dataset of Batavia and Sarga woven fabric images [Data set]. Universidad de Burgos. https://doi.org/10.71486/D1HR-AP42 http://hdl.handle.net/10259/9965 10.71486/d1hr-ap42 The dataset contains images of Batavia and Sarga woven fabrics. It is designed for training AI models for defect detection and quality assessment. 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. text/plain application/zip eng Universidad de Burgos https://hdl.handle.net/10259/10545 info:eu-repo/grantAgreement/DIH-LEAF//S06Z06//Deep lEarning for automatiC tExtile iNspecTion/DECENT/ Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Textile defect detection Fabric quality control Industry 4.0 Deep Learning in manufacturing Convolutional neural networks Image analysis and classification Inteligencia artificial Industria textil Artificial intelligence Textile industry Original and processed dataset of Batavia and Sarga woven fabric images dataset info:eu-repo/semantics/acceptedVersion 2025