2026-06-29T21:06:24Zhttps://riubu.ubu.es/oai/requestoai: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.
2025-01-20
2025-01-20
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