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)。
- Stars
- 3.8k
- Forks
- 345
- Open issues
- 1
- Last push
- 3d ago
About awesome-industrial-anomaly-detection
awesome-industrial-anomaly-detection is a free, open-source AI resource list by M-3LAB. 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)。. It has 3.8k GitHub stars and 345 forks, and was last updated 3d ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- –
- Stars
- 3,832
- Last update
- 3d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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awesome-industrial-anomaly-detection FAQ
Is awesome-industrial-anomaly-detection free?
Yes. awesome-industrial-anomaly-detection is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does awesome-industrial-anomaly-detection run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does awesome-industrial-anomaly-detection need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is awesome-industrial-anomaly-detection still maintained?
Yes. It was last updated 3d ago and has 1 open issues on GitHub.
What are alternatives to awesome-industrial-anomaly-detection?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, CVPR2026-Papers-with-Code, anomaly-detection-resources, ICCV-2023-25-Papers.