2026-06-29T18:16:52Zhttps://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

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 Textile defect detection Fabric quality control Industry 4.0 Deep Learning in manufacturing Convolutional neural networks Image analysis and classification The dataset contains images of Batavia and Sarga woven fabrics. It is designed for training AI models for defect detection and quality assessment. 2025-01-20T09:55:57Z 2025-01-20T09:55:57Z 2025-01-16 dataset 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 eng https://hdl.handle.net/10259/10545 info:eu-repo/grantAgreement/DIH-LEAF//S06Z06//Deep lEarning for automatiC tExtile iNspecTion/DECENT/ http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional start=2022-11; end=2022-11 north=43.312362; west=-4.225746; name=Textil Santanderina, Cabezón de la Sal, Spain Universidad de Burgos