Lusitano Fabric Defect Detection Dataset

The Lusitano dataset was collected over a 3-month period, spanning from January to March, from Paulo de Oliveira, S.A., a prominent textile company, based in Covilhã, Portugal, renowned for its innovative contributions to the textile industry. To collect the images for the dataset, we placed one camera in front of a fabric inspection machine, along with a strong and nearly uniform light source. This dataset comprises 4096 × 1024 images, captured by an industrial-grade Teledyne Dalsa Linea camera. The camera’s high resolution and precision ensure the accurate depiction of textile samples, with the level of detail necessary for defect analysis. None of the defects depicted in this dataset are artificially generated; they stem from genuine occurrences observed during this collection period, and thus represent real-world challenges encountered in textile production processes. The dataset also showcases normal images. We announce two folders, train and test in the same folder architecture, a MVTEC AD dataset. The training set contains 32k normal images, while the testing set contains 1646 defect images and 1038 normal images