M-3LAB/awesome-industrial-anomaly-detection
A comprehensive paper list and dataset collection for industrial image anomaly and defect detection using deep learning and MLLMs.

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This repository aggregates academic papers, datasets, and benchmarks for industrial anomaly detection in images. It includes references to survey papers, the IM-IAD industrial benchmark, and an MLLM-based system called AD-Copilot for automated visual inspection. The collection serves as a reference resource for researchers working on defect detection using computer vision and deep learning techniques.