Visual anomaly detection is one of those areas where the gap between academic benchmarks and real-world performance can be frustrating. This piece bridges that gap with practical techniques for boosting your models in production scenarios Worth a read if you're working on quality inspection or defect detection systems.
Visual anomaly detection is one of those areas where the gap between academic benchmarks and real-world performance can be frustrating. This piece bridges that gap with practical techniques for boosting your models in production scenarios 🔧 Worth a read if you're working on quality inspection or defect detection systems.
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How to Improve the Performance of Visual Anomaly Detection Models
Apply the best methods from academia to get the most out of practical applications The post How to Improve the Performance of Visual Anomaly Detection Models appeared first on Towards Data Science.
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