JerryX1110/Awesome-3D-Anomaly-Detection
Awesome-3D/Multimodal-Anomaly-Detection-and-Localization/Segmentation/3D-KD/3D-knowledge-distillation
This project helps quality control engineers and manufacturing line managers automatically spot defects in physical objects. By inputting 3D scans of anomaly-free products, it learns to identify and pinpoint imperfections like dents, scratches, or deformities in new scans. This enables rapid, objective inspection of items ranging from rigid parts to deformable goods like food.
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Use this if you need an automated system to detect and localize manufacturing defects or anomalies in 3D scanned objects without needing to manually label faulty examples.
Not ideal if your anomaly detection task involves 2D images only, or if you require a system that can categorize specific types of anomalies rather than just identify their presence and location.
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License
MIT
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Last pushed
Mar 24, 2023
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