Fabric Defect

A custom dataset of fabric defects was constructed, utilizing images captured from garments with various imperfections. The dataset comprises 2468 high-quality images and each image to ensure quality. The dataset contains images of six types of fabric defects. The dataset has Button-hike (307 images), Broken-button (545 images), Hole (556 images), Color-defect (384 images), Foreign-yarn(334 images), and Sewing-error (317 images). To address potential limitations arising from a finite dataset size, data augmentation techniques were employed. This augmentation process enhanced the model's ability to generalize to unseen variations in fabric defects. The images were manually annotated with defect type and bounding box information. The image annotation contains a class label, bounding box center (x,y), height, and width. For this research, datasets of the defects were collected from various garment manufacturers with their consent. However, Data collection is an ongoing process. Researchers interested in the dataset can contact us for access.