Datasets › ISP-AD

ISP-AD (The Industrial Screen Printing Anomaly Detection Dataset)

Introduced by Paul J. Krassnig et al. in ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects6 Mar 2025 archive 2025-07-28

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.

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Anomaly Detection Unsupervised Anomaly Detection Defect Detection Weakly Supervised Defect Detection Supervised Anomaly Detection Supervised Defect Detection Self-Supervised Anomaly Detection

License archive 2025-07-28

CC BY-NC-SA 4.0

Modalities archive 2025-07-28

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Languages archive 2025-07-28

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Variants archive 2025-07-28

ISP-AD

1 variant name, as the archive lists them.

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