M-3LAB/open-iad
Image anomaly detection benchmark in industrial manufacturing
This project helps quality control engineers and manufacturing operators detect defects in products on a production line. It takes images of manufactured items as input and outputs a determination of whether the item is good or has an anomaly. This is ideal for anyone who needs to automatically identify flaws or irregularities in industrial products using computer vision.
167 stars. No commits in the last 6 months.
Use this if you need to evaluate and compare different image-based anomaly detection methods for identifying defects in manufactured goods.
Not ideal if your anomaly detection task is outside of industrial image inspection, such as text analysis or financial fraud detection.
Stars
167
Forks
27
Language
Python
License
—
Category
Last pushed
Feb 20, 2025
Commits (30d)
0
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