Industrial Inspection
Building quality control systems? Benchmark anomaly detection, defect classification, and automated visual inspection for manufacturing.
Tasks & Benchmarks
Anomaly Detection
Detecting defects and anomalies in manufacturing (MVTec AD, VisA).
Steel Defect Detection
Detecting defects in steel production: rolled-in scale, patches, pitting.
Surface Defect Detection
Detecting scratches, dents, and surface imperfections on materials.
Weld Inspection
Detecting weld defects: porosity, cracks, lack of fusion, slag inclusion.
Show all datasets and SOTA results
Anomaly Detection
3,335 images of electrical commutators with surface defects. Real industrial dataset with challenging small defects.
4,147 high-resolution 3D point cloud scans and RGB images across 10 categories. First comprehensive 3D anomaly detection benchmark.
5,354 high-resolution images across 15 object and texture categories. The gold standard for industrial anomaly detection with pixel-level annotations.
1,800 grayscale images of hot-rolled steel strip with 6 defect types: rolled-in scale, patches, crazing, pitted surface, inclusion, scratches.
12,568 steel sheet images with 4 defect classes from Kaggle competition. Real industrial data from major steel producer.
10,821 high-resolution images across 12 objects with complex structures. More challenging than MVTec with realistic industrial scenarios.
Radiographic images of welds with annotations for porosity, slag inclusion, lack of fusion, cracks. Critical for pipeline and structural inspection.