2026-10-12T11:34:38Z https://www.scidb.cn/oai

10.57760/sciencedb.35723 2026-07-16T15:54:37Z

2026-07-16 Preprocessed Yarn-Breakage Image Dataset from Robot-Assisted Ring-Spinning Inspection (Textile Manufacturing, 2024) doi:10.57760/sciencedb.35723 en Dataset IntroductionThis record provides the Preprocessed version of the industrial yarn-breakage image dataset and contains 3833 Preprocessed image records. The Preprocessed images are one-to-one enhanced counterparts of the Raw images and are designed to improve yarn and fiber feature visibility for yarn-breakage classification and detection. They retain the same filenames, class-folder organization, image resolution, spatial geometry, and three-position yarn-state labels as the corresponding Raw images.Preprocessing & PairingThe Preprocessed images were generated from the Raw images using a fixed enhancement pipeline including Prewitt-based edge extraction, edge-feature fusion, linear brightness adjustment, pixel-value clipping, and gamma correction. The preprocessing pipeline did not crop, resize, rotate, or geometrically transform the images. Therefore, the Preprocessed images should not be counted as additional independent original samples, but as one-to-one enhanced versions of the Raw image records.Temporal metadata were derived from the timestamped Raw BMP filenames, which serve as the canonical original acquisition records. Because the Preprocessed images are paired one-to-one with the Raw images using identical filenames and class-folder organization, the temporal metadata derived from the Raw BMP image records can also be linked to the corresponding Preprocessed records.Metadata DetailsA shared common_metadata/ folder is provided for both the Raw and Preprocessed records. It includes dataset structure, class definitions, acquisition protocol, preprocessing description, image-level temporal metadata, Raw/Preprocessed pairing information, and quality-control documentation. yarn breakage; ring spinning; textile manufacturing; robot-assisted inspection; industrial inspection; machine vision; industrial image dataset; image classification; monochrome imaging; ROI-based analysis; raw and preprocessed images; temporal metadata; fault detection Binglei Guo Qiqiang Fu PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank