Taktpixel2025PD-CD: Taktpixel 2025 Printing Defect Change Detection Dataset

Taktpixel2025PD-CD is a dataset for evaluating change detection models in the domain of industrial printing inspection. It contains image pairs of printed materials scanned from both offset and inkjet print samples. Each image pair includes: A master image (reference, assumed defect-free) A target image (possibly containing a defect) A pixel-wise binary mask representing the defect region The dataset is divided into train, val, and test splits, and organized into the standard A/, B/, and OUT/ folder structure commonly used in change detection tasks. Six common defect types are labeled: Black spot Color shift Friction Hair Line Pinhole Candidate defect regions were extracted using comparative image inspection techniques and manually validated through expert review. Ground-truth masks are refined to exclude false positives caused by normal printing variation. This dataset is released under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license. It is suitable for training and benchmarking machine learning models, particularly for applications in visual inspection and quality assurance in the printing industry.