KolektorSDD2 is a surface-defect detection dataset with over 3000 images containing several types of defects, obtained while addressing a real-world industrial problem. The dataset consists of: * 356 images with visible defects * 2979 images without any defect * image sizes of approximately 230 x 630 pixels * train set with 246 positive and 2085 negative images * test set with 110 positive and 894 negative images * several different types of defects (scratches, minor spots, surface imperfections, etc.)
The ISP-AD Dataset is a large-scale anomaly detection dataset, representing a real-world industrial use case. It contains 312,674 fault-free and 246,375 defective samples, including 245,664 synthetic defects and 711 real defects collected on the factory floor. Designed to advance research in unsupervised, self-supervised, and supervised anomaly detection, ISP-AD serves as a benchmark for evaluating defect detection methods under realistic industrial conditions.