10 - Anomaly Detection with Computer Vision in Manufacturing

Complete guide to Anomaly Detection with Computer Vision in Manufacturing: architecture, practical implementation and best practices for developers and technical teams.

What you'll learn

• Anomaly detection approaches: supervised, semi-supervised, unsupervised
• MVTec Anomaly Detection Dataset: the standard industrial benchmark
• PatchCore: state-of-the-art algorithm for unsupervised anomaly detection
• Handling class imbalance in real defect datasets
• Domain-specific data augmentation for industrial images

This article is part of the Computer Vision series on federicocalo.dev.

Read the full article

The complete article (18 min read) with code examples, diagrams, and practical exercises is available here:

➡️ 10 - Anomaly Detection with Computer Vision in Manufacturing

https://federicocalo.dev/en/blog/anomaly-detection-computer-vision-manufacturing

By Federico Calò — Software Developer & Technical Writer