M-3LAB/awesome-industrial-anomaly-detection
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
This project helps quality control engineers and manufacturing line managers efficiently identify defects in industrial products. It provides a curated collection of research papers and publicly available datasets focused on detecting anomalies and defects using images. You can explore various image anomaly detection methods and benchmark their performance on real-world industrial images.
3,365 stars. Actively maintained with 7 commits in the last 30 days.
Use this if you are a quality control professional, manufacturing engineer, or researcher looking for a comprehensive resource to understand and apply image-based anomaly detection techniques in industrial settings.
Not ideal if you are looking for ready-to-use software or a tool to directly process your images without understanding the underlying research.
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Mar 12, 2026
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