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DeepLTK Anomaly Detection Addon by Ngene - Toolkit for LabVIEW Download
Anomaly Detection Addon for DeepLTK
Discussion
| Version | 2.1.3.27 |
| Released | May 07, 2025 |
| Publisher | Ngene |
| License | Ngene Custom |
| LabVIEW Version | LabVIEW>=20.0 |
| Operating System | Windows |
| Dependencies | ngene_lv_dnn_deep_learning_toolkit |
| Project links | Homepage Documentation Repository Discussion |
Description
DeepLTK Anomaly Detection Addon
The DeepLTK Anomaly Detection Addon enables high-performance, unsupervised visual anomaly detection, ideal for defect detection, industrial inspection, and outlier identification.
Key Features
•High-Speed Training: <1 min (GPU), ~5 min (CPU)
•Fast Inference: <10 ms (GPU), ~300 ms (CPU)
•High Accuracy: >95% on 80+ datasets
•Unsupervised: Learns from normal samples only - no annotations needed
•Few-Shot Learning: 100s of good images can achieve near-perfect accuracy
•Versatile: Ideal for manufacturing, medical imaging, and predictive maintenance
Examples: https://github.com/ngenehub/deepltk_examples/tree/main/3_Image_Processing/36_Anomaly_Detection
Tutorials: https://www.ngene.co/post/deepltk-tutorial-3-6-visual-anomaly-detection
Release Notes
v2.1.3
1. Fixed stride-based layer selection bug.
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