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MNaseerSubhani
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AI-based visual defect detection system for manufacturing using deep learning. Built on the MVTec Bottle dataset, this project performs industrial anomaly detection, defect severity analysis, quality grading, real-time inspection, and Flask API integration for smart manufacturing and Industry 4.0 use cases.
tk-yasuno
An innovative anomaly detection system for manufacturing industries. Integrating MVTec AD dataset, MiniCPM language model, and LoRA explanation generation, achieving AUC 0.7175 practical-level anomaly detection performance on 416 complete wallplugs dataset.
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